1
|
Sunil N, Unnathpadi R, Seenivasagam RK, Abhijith T, Latha R, Sheen S, Pullithadathil B. Development of an AI-derived, non-invasive, label-free 3D-printed microfluidic SERS biosensor platform utilizing Cu@Ag/carbon nanofibers for the detection of salivary biomarkers in mass screening of oral cancer. J Mater Chem B 2025; 13:3405-3419. [PMID: 39935364 DOI: 10.1039/d4tb02766c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/13/2025]
Abstract
Developing a non-invasive and reliable tool for the highly sensitive detection of oral cancer is essential for its mass screening and early diagnosis, and improving treatment efficacy. Herein, we utilized a label-free surface enhanced Raman spectroscopy (SERS)-based biosensor composed of Cu@Ag core-shell nanoparticle anchored carbon nanofibers (Cu@Ag/CNFs) for highly sensitive salivary biomarker detection in oral cancer mass screening. This SERS substrate provided a Raman signal enhancement of up to 107 and a detection limit as low as 10-12 M for rhodamine 6G molecules. Finite-difference time-domain (FDTD) simulation studies on Cu@Ag/CNFs indicated an E-field intensity enhancement factor (|E|2/|E0|2) of 250 at the plasmonic hotspot induced between two adjacent Cu@Ag nanoparticles. The interaction of this strong E-field along with the chemical enhancement effects was responsible for such huge enhancement in the Raman signals. To realize the real capability of the developed biosensor in practical scenarios, it was further utilized for the detection of oral cancer biomarkers such as nitrate, nitrite, thiocyanate, proteins, and amino acids with a micro-molar concentration in saliva samples. The integration of SERS substrates with a 3D-printed 12-channel microfluidic platform significantly enhanced the reproducibility and statistical robustness of the analytical process. Moreover, AI-driven techniques were employed to improve the diagnostic accuracy in differentiating the salivary profiles of oral cancer patients (n1 = 56) from those of healthy controls (n2 = 60). Principal component analysis (PCA) was utilized for dimensionality reduction, followed by classification using a random forest (RF) algorithm, yielding a robust classification accuracy of 87.5%, with a specificity of 92% and sensitivity of 88%. These experimental and theoretical findings emphasize the real-world functionality of the present non-invasive diagnostic tool in paving the way for more accurate and early-stage detection of oral cancer in clinical settings.
Collapse
Affiliation(s)
- Navami Sunil
- Nanosensors and Clean Energy Laboratory, Department of Chemistry & Nanoscience and Technology, PSG Institute of Advanced Studies, Coimbatore-641004, India.
| | - Rajesh Unnathpadi
- Nanosensors and Clean Energy Laboratory, Department of Chemistry & Nanoscience and Technology, PSG Institute of Advanced Studies, Coimbatore-641004, India.
| | | | - T Abhijith
- Nanosensors and Clean Energy Laboratory, Department of Chemistry & Nanoscience and Technology, PSG Institute of Advanced Studies, Coimbatore-641004, India.
| | - R Latha
- Department of Applied Mathematics and Computational Sciences, PSG College of Technology, Coimbatore-641004, India
| | - Shina Sheen
- Department of Applied Mathematics and Computational Sciences, PSG College of Technology, Coimbatore-641004, India
| | - Biji Pullithadathil
- Nanosensors and Clean Energy Laboratory, Department of Chemistry & Nanoscience and Technology, PSG Institute of Advanced Studies, Coimbatore-641004, India.
| |
Collapse
|
2
|
Zhang Y, Li Z, Zhang C, Shao C, Duan Y, Zheng G, Cai Y, Ge M, Xu J. Recent advances of photodiagnosis and treatment for head and neck squamous cell carcinoma. Neoplasia 2025; 60:101118. [PMID: 39721461 PMCID: PMC11732236 DOI: 10.1016/j.neo.2024.101118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 12/19/2024] [Indexed: 12/28/2024]
Abstract
Head and neck squamous cell carcinoma (HNSCC) are the most common type of head and neck tumor that severely threatens human health due to its highly aggressive nature and susceptibility to distant metastasis. The diagnosis of HNSCC currently relies on biopsy and histopathological examination of suspicious lesions. However, the early mucosal changes are subtle and difficult to detect by conventional oral examination. As for treatment, surgery is still the primary treatment modality. Due to the complex anatomy and the lack of intraoperative modalities to accurately determine the incision margins, surgeons are in a dilemma between extensive tumor removal and improving the quality of patient survival. As more knowledge is gained about HNSCC, the increasing recognition of the value of optical imaging has been emphasized. Optical technology offers distinctive possibilities for early preoperative diagnosis, intraoperative real-time visualization of tumor margins, sentinel lymph node biopsies, phototherapy. Fluorescence imaging, narrow-band imaging, Raman spectroscopy, optical coherence tomography, hyperspectral imaging, and photoacoustic imaging have been reported for imaging HNSCC. This article provides a comprehensive overview of the fundamental principles and clinical applications of optical imaging in the diagnosis and treatment of HNSCC, focusing on identifying its strengths and limitations to facilitate advancements in this field.
Collapse
Affiliation(s)
- Yining Zhang
- Otolaryngology & Head and Neck Center, Cancer Center, Department of Head and Neck Surgery, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou 310014, Zhejiang, China; Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Zhenfang Li
- Otolaryngology & Head and Neck Center, Cancer Center, Department of Head and Neck Surgery, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou 310014, Zhejiang, China
| | - Chengchi Zhang
- Otolaryngology & Head and Neck Center, Cancer Center, Department of Head and Neck Surgery, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou 310014, Zhejiang, China; Zhejiang University of Technology, Hangzhou 310023, China
| | - Chengying Shao
- Otolaryngology & Head and Neck Center, Cancer Center, Department of Head and Neck Surgery, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou 310014, Zhejiang, China; Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Yanting Duan
- Zhejiang Provincial Clinical Research Center for Head & Neck Cancer, Hangzhou 310014, China; Zhejiang Key Laboratory of Precision Medicine Research on Head & Neck Cancer, Hangzhou 310014, China
| | - Guowan Zheng
- Zhejiang Provincial Clinical Research Center for Head & Neck Cancer, Hangzhou 310014, China; Zhejiang Key Laboratory of Precision Medicine Research on Head & Neck Cancer, Hangzhou 310014, China
| | - Yu Cai
- Department of Rehabilitation Medicine, Center for Rehabilitation Medicine, Rehabilitation & Sports Medicine Research Institute of Zhejiang Province, Cancer Center, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang 310014, China.
| | - Minghua Ge
- Otolaryngology & Head and Neck Center, Cancer Center, Department of Head and Neck Surgery, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou 310014, Zhejiang, China; Zhejiang Provincial Clinical Research Center for Head & Neck Cancer, Hangzhou 310014, China; Zhejiang Key Laboratory of Precision Medicine Research on Head & Neck Cancer, Hangzhou 310014, China.
| | - Jiajie Xu
- Otolaryngology & Head and Neck Center, Cancer Center, Department of Head and Neck Surgery, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou 310014, Zhejiang, China; Zhejiang Provincial Clinical Research Center for Head & Neck Cancer, Hangzhou 310014, China; Zhejiang Key Laboratory of Precision Medicine Research on Head & Neck Cancer, Hangzhou 310014, China.
| |
Collapse
|
3
|
Packirisamy V. Artificial Intelligence and Machine Learning Algorithms-Powered SERS Techniques for Early Theragnosis of Oral Squamous Cell Carcinoma. J Maxillofac Oral Surg 2025; 24:255-257. [PMID: 39902455 PMCID: PMC11787129 DOI: 10.1007/s12663-024-02396-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2024] [Accepted: 11/19/2024] [Indexed: 02/05/2025] Open
Affiliation(s)
- Vinitha Packirisamy
- Centre for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, Tamil Nadu 602 105 India
| |
Collapse
|
4
|
Hanna K, Asiedu AL, Theurer T, Muirhead D, Speirs V, Oweis Y, Abu-Eid R. Advances in Raman spectroscopy for characterising oral cancer and oral potentially malignant disorders. Expert Rev Mol Med 2024; 26:e25. [PMID: 39375841 PMCID: PMC11488342 DOI: 10.1017/erm.2024.26] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 06/18/2024] [Accepted: 08/16/2024] [Indexed: 10/09/2024]
Abstract
Oral cancer survival rates have seen little improvement over the past few decades. This is mainly due to late detection and a lack of reliable markers to predict disease progression in oral potentially malignant disorders (OPMDs). There is a need for highly specific and sensitive screening tools to enable early detection of malignant transformation. Biochemical alterations to tissues occur as an early response to pathological processes; manifesting as modifications to molecular structure, concentration or conformation. Raman spectroscopy is a powerful analytical technique that can probe these biochemical changes and can be exploited for the generation of novel disease-specific biomarkers. Therefore, Raman spectroscopy has the potential as an adjunct tool that can assist in the early diagnosis of oral cancer and the detection of disease progression in OPMDs. This review describes the use of Raman spectroscopy for the diagnosis of oral cancer and OPMDs based on ex vivo and liquid biopsies as well as in vivo applications that show the potential of this powerful tool to progress from benchtop to chairside.
Collapse
Affiliation(s)
- Katie Hanna
- School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Scotland, UK
- Aberdeen Cancer Centre, University of Aberdeen, Scotland, UK
| | - Anna-Lena Asiedu
- School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Scotland, UK
| | - Thomas Theurer
- School of Geoscience, University of Aberdeen, Aberdeen, Scotland, UK
| | - David Muirhead
- School of Geoscience, University of Aberdeen, Aberdeen, Scotland, UK
| | - Valerie Speirs
- School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Scotland, UK
- Aberdeen Cancer Centre, University of Aberdeen, Scotland, UK
| | - Yara Oweis
- School of Dentistry, University of Jordan, Amman, Jordan
| | - Rasha Abu-Eid
- School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Scotland, UK
- Aberdeen Cancer Centre, University of Aberdeen, Scotland, UK
| |
Collapse
|
5
|
das Chagas E Silva de Carvalho LF, de Lima Morais TM, Nogueira MS. Providing potential solutions by using FT-IR spectroscopy for biofluid analysis: Clinical impact of optical screening and diagnostic tests. Photodiagnosis Photodyn Ther 2023; 44:103753. [PMID: 37597683 DOI: 10.1016/j.pdpdt.2023.103753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 08/02/2023] [Accepted: 08/15/2023] [Indexed: 08/21/2023]
Abstract
BACKGROUND Currently, the potential of FT-IR spectroscopy for rapid diagnosis of many pathologies has been demonstrated by numerous research studies including those targeting COVID-19 detection. However, the number of clinicians aware of this potential and who are willing to use spectroscopy in their clinics and hospitals is still negligible. In addition, lack of awareness creates a huge gap between clinicians and researchers involved in clinical translation of current FT-IR technology hence hindering initiatives to bring basic and applied research together for the direct benefit of patients. METHODS Knowledge and medical training on FT-IR on the side of clinicians should be one of the first steps to be able to integrate it into the list of complementary exams which may be requested by health professionals. Countless FT-IR applications could have a life-changing impact on patients' lives, especially screening and diagnostic tests involving biofluids such as blood, saliva and urine which are routinely non-invasively or minimally-invasively. RESULTS Blood may be the most difficult to obtain by the invasive method of collection, but much can be evaluated in its components, and areas such as hematology, infectiology, oncology and endocrinology can be directly benefited. Urine with a relatively simple collection method can provide pertinent information from the entire urinary system, including the actual condition of the kidneys. Saliva collection can be simpler for the patient and can provide information on diseases affecting the mouth and digestive system and can be used to diagnose diseases such as oral cancer in its early-stages. An unavoidable second step is the active involvement of industries to design robust and portable instruments for specific purposes, as the medical community requires user-friendly instruments of advanced computational algorithms. A third step resides in the legal situation involving the global use of the technique as a new diagnostic modality. CONCLUSIONS It is important to note that decentralized funds for variety of technologies hinders the training of clinical and medical professionals for the use of newly arising technologies and affect the engagement of these professionals with technology developers. As a result of decentralized funding, research efforts are spread out over a range of technologies which take a long time to get validated and translated to the clinic. Partnership over similar groups of technologies and efforts to test the same technologies while overcoming barriers posed to technology validation in different areas around the globe may benefit the clinical/medical, research and industry community globally.
Collapse
Affiliation(s)
| | | | - Marcelo Saito Nogueira
- Tyndall National Institute, Lee Maltings, Dyke Parade, Cork T12 R5CP, Ireland; Department of Physics, University College Cork, College Road, Cork T12 K8AF, Ireland.
| |
Collapse
|
6
|
Fonseca AU, Felix JP, Pinheiro H, Vieira GS, Mourão ÝC, Monteiro JCG, Soares F. An Intelligent System to Improve Diagnostic Support for Oral Squamous Cell Carcinoma. Healthcare (Basel) 2023; 11:2675. [PMID: 37830712 PMCID: PMC10572543 DOI: 10.3390/healthcare11192675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 09/12/2023] [Accepted: 09/25/2023] [Indexed: 10/14/2023] Open
Abstract
Oral squamous cell carcinoma (OSCC) is one of the most-prevalent cancer types worldwide, and it poses a serious threat to public health due to its high mortality and morbidity rates. OSCC typically has a poor prognosis, significantly reducing the chances of patient survival. Therefore, early detection is crucial to achieving a favorable prognosis by providing prompt treatment and increasing the chances of remission. Salivary biomarkers have been established in numerous studies to be a trustworthy and non-invasive alternative for early cancer detection. In this sense, we propose an intelligent system that utilizes feed-forward artificial neural networks to classify carcinoma with salivary biomarkers extracted from control and OSCC patient samples. We conducted experiments using various salivary biomarkers, ranging from 1 to 51, to train the model, and we achieved excellent results with precision, sensitivity, and specificity values of 98.53%, 96.30%, and 97.56%, respectively. Our system effectively classified the initial cases of OSCC with different amounts of biomarkers, aiding medical professionals in decision-making and providing a more-accurate diagnosis. This could contribute to a higher chance of treatment success and patient survival. Furthermore, the minimalist configuration of our model presents the potential for incorporation into resource-limited devices or environments.
Collapse
Affiliation(s)
- Afonso U. Fonseca
- Institute of Informatics, Federal University of Goiás, Goiânia 74690-900, GO, Brazil; (J.P.F.); (H.P.); (G.S.V.); (F.S.)
| | - Juliana P. Felix
- Institute of Informatics, Federal University of Goiás, Goiânia 74690-900, GO, Brazil; (J.P.F.); (H.P.); (G.S.V.); (F.S.)
| | - Hedenir Pinheiro
- Institute of Informatics, Federal University of Goiás, Goiânia 74690-900, GO, Brazil; (J.P.F.); (H.P.); (G.S.V.); (F.S.)
| | - Gabriel S. Vieira
- Institute of Informatics, Federal University of Goiás, Goiânia 74690-900, GO, Brazil; (J.P.F.); (H.P.); (G.S.V.); (F.S.)
- Federal Institute Goiano, Computer Vision Lab, Urutaí 75790-000, GO, Brazil
| | | | | | - Fabrizzio Soares
- Institute of Informatics, Federal University of Goiás, Goiânia 74690-900, GO, Brazil; (J.P.F.); (H.P.); (G.S.V.); (F.S.)
| |
Collapse
|
7
|
Xie X, Yu W, Chen Z, Wang L, Yang J, Liu S, Li L, Li Y, Huang Y. Early-stage oral cancer diagnosis by artificial intelligence-based SERS using Ag NWs@ZIF core-shell nanochains. NANOSCALE 2023; 15:13466-13472. [PMID: 37548371 DOI: 10.1039/d3nr02662k] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Surface-enhanced Raman spectroscopy (SERS) has great potential in the early diagnosis of diseases by detecting the changes of volatile biomarkers in exhaled breath, because of its high sensitivity, rich chemical molecular fingerprint information, and immunity to humidity. Here, an accurate diagnosis of oral cancer (OC) is demonstrated using artificial intelligence (AI)-based SERS of exhaled breath in plasmonic-metal organic framework (MOF) nanoparticles. These plasmonic-MOF nanoparticles were prepared using a zeolitic imidazolate framework coated on Ag nanowires (Ag NWs@ZIF), which offers Raman enhancement from the plasmonic nanowires and gas enrichment from the ZIF shells. Then, the core-shell nanochains of Ag NWs@ZIF prepared with 0.5 mL Ag NWs were selected to capture gaseous methanethiol, which is a tumor biomarker, from the exhalation of OC patients. The substrate was used to collect a total of 400 SERS spectra of exhaled breath of simulated healthy people and simulated OC patients. The artificial neural network (ANN) model in the AI algorithm was trained with these SERS spectra and could classify them with an accuracy of 99%. Notably, the model predicted OC with an area under the curve (AUC) of 0.996 for the simulated OC breath samples. This work suggests the great potential of the combination of breath analysis and AI as a method for the early-stage diagnosis of oral cancer.
Collapse
Affiliation(s)
- Xin Xie
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing 400044, China.
| | - Wenrou Yu
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing 400044, China.
| | - Zhaoxian Chen
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing 400044, China.
| | - Li Wang
- School of Optoelectronics Engineering, Chongqing University, Chongqing 401331, China
| | - Junjun Yang
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing 400044, China.
| | - Shihong Liu
- Department of Geriatric Oncology and Department of Palliative Care, Chongqing University Cancer Hospital, Chongqing, 400030, China
| | - Linze Li
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing 400044, China.
| | - Yanxi Li
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing 400044, China.
| | - Yingzhou Huang
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing 400044, China.
| |
Collapse
|
8
|
Faur CI, Dinu C, Toma V, Jurj A, Mărginean R, Onaciu A, Roman RC, Culic C, Chirilă M, Rotar H, Fălămaș A, Știufiuc GF, Hedeșiu M, Almășan O, Știufiuc RI. A New Detection Method of Oral and Oropharyngeal Squamous Cell Carcinoma Based on Multivariate Analysis of Surface Enhanced Raman Spectra of Salivary Exosomes. J Pers Med 2023; 13:jpm13050762. [PMID: 37240933 DOI: 10.3390/jpm13050762] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/23/2023] [Accepted: 04/27/2023] [Indexed: 05/28/2023] Open
Abstract
Raman spectroscopy recently proved a tremendous capacity to identify disease-specific markers in various (bio)samples being a non-invasive, rapid, and reliable method for cancer detection. In this study, we first aimed to record vibrational spectra of salivary exosomes isolated from oral and oropharyngeal squamous cell carcinoma patients and healthy controls using surface enhancement Raman spectroscopy (SERS). Then, we assessed this method's capacity to discriminate between malignant and non-malignant samples by means of principal component-linear discriminant analysis (PC-LDA) and we used area under the receiver operating characteristics with illustration as the area under the curve to measure the power of salivary exosomes SERS spectra analysis to identify cancer presence. The vibrational spectra were collected on a solid plasmonic substrate developed in our group, synthesized using tangential flow filtered and concentrated silver nanoparticles, capable of generating very reproducible spectra for a whole range of bioanalytes. SERS examination identified interesting variations in the vibrational bands assigned to thiocyanate, proteins, and nucleic acids between the saliva of cancer and control groups. Chemometric analysis indicated discrimination sensitivity between the two groups up to 79.3%. The sensitivity is influenced by the spectral interval used for the multivariate analysis, being lower (75.9%) when the full-range spectra were used.
Collapse
Affiliation(s)
- Cosmin Ioan Faur
- Department of Oral Radiology, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Cristian Dinu
- Department of Maxillofacial Surgery and Implantology, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Valentin Toma
- MedFuture-Research Center for Advanced Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Anca Jurj
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Radu Mărginean
- MedFuture-Research Center for Advanced Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Anca Onaciu
- MedFuture-Research Center for Advanced Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Rareș Călin Roman
- Department of Oral and Craniomaxillofacial Surgery, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Carina Culic
- Department of Odontology, Endodontics, Oral Pathology, Faculty of Dentistry, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Magdalena Chirilă
- Department of Otorhinolaryngology, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Horațiu Rotar
- Department of Oral and Craniomaxillofacial Surgery, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Alexandra Fălămaș
- Department of Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, 400293 Cluj-Napoca, Romania
| | | | - Mihaela Hedeșiu
- Department of Oral Radiology, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Oana Almășan
- Department of Prosthodontics and Dental Materials, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Rares Ionuț Știufiuc
- Department of Maxillofacial Surgery and Implantology, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
- Department of Pharmaceutical Physics & Biophysics, Faculty of Pharmacy, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| |
Collapse
|
9
|
Chakraborty D, Ghosh D, Kumar S, Jenkins D, Chandrasekaran N, Mukherjee A. Nano-diagnostics as an emerging platform for oral cancer detection: Current and emerging trends. WILEY INTERDISCIPLINARY REVIEWS. NANOMEDICINE AND NANOBIOTECHNOLOGY 2023; 15:e1830. [PMID: 35811418 DOI: 10.1002/wnan.1830] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 06/05/2022] [Accepted: 06/15/2022] [Indexed: 01/31/2023]
Abstract
Globally, oral cancer kills an estimated 150,000 individuals per year, with 300,000 new cases being diagnosed annually. The high incidence rate of oral cancer among the South-Asian and American populations is majorly due to overuse of tobacco, alcohol, and poor dental hygiene. Additionally, socio-economic issues and lack of general awareness delay the primary screening of the disease. The availability of early screening techniques for oral cancer can help in carving out a niche for accurate disease prognosis and also its prevention. However, conventional diagnostic approaches and therapeutics are still far from optimal. Thus, enhancing the analytical performance of diagnostic platforms in terms of specificity and precision can help in understanding the disease progression paradigm. Fabrication of efficient nanoprobes that are sensitive, noninvasive, cost-effective, and less labor-intensive can reduce the global cancer burden. Recent advances in optical, electrochemical, and spectroscopy-based nano biosensors that employ noble and superparamagnetic nanoparticles, have been proven to be extremely efficient. Further, these sensitive nanoprobes can also be employed for predicting disease relapse after chemotherapy, when the majority of the biomarker load is eliminated. Herein, we provide the readers with a brief summary of conventional and new-age oral cancer detection techniques. A comprehensive understanding of the inherent challenges associated with conventional oral cancer detection techniques is discussed. We also elaborate on how nanoparticles have shown tremendous promise and effectiveness in radically transforming the approach toward oral cancer detection. This article is categorized under: Diagnostic Tools > Biosensing Diagnostic Tools > Diagnostic Nanodevices Diagnostic Tools > In Vitro Nanoparticle-Based Sensing.
Collapse
Affiliation(s)
- Debolina Chakraborty
- School of Advanced Sciences, Vellore Institute of Technology, Vellore, India
- Centre for Nanobiotechnology, Vellore Institute of Technology, Vellore, India
| | - Debayan Ghosh
- Centre for Nanobiotechnology, Vellore Institute of Technology, Vellore, India
| | - Sanjit Kumar
- Centre for Bioseparation Technology, Vellore Institute of Technology, Vellore, India
| | - David Jenkins
- Wolfson Nanomaterials & Devices Laboratory, School of Computing, Electronics and Mathematics, Faculty of Science & Engineering, University of Plymouth, Devon, UK
| | | | - Amitava Mukherjee
- Centre for Nanobiotechnology, Vellore Institute of Technology, Vellore, India
| |
Collapse
|
10
|
Maryam S, Nogueira MS, Gautam R, Krishnamoorthy S, Venkata Sekar SK, Kho KW, Lu H, Ni Riordain R, Feeley L, Sheahan P, Burke R, Andersson-Engels S. Label-Free Optical Spectroscopy for Early Detection of Oral Cancer. Diagnostics (Basel) 2022; 12:diagnostics12122896. [PMID: 36552903 PMCID: PMC9776497 DOI: 10.3390/diagnostics12122896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 11/16/2022] [Accepted: 11/18/2022] [Indexed: 11/23/2022] Open
Abstract
Oral cancer is the 16th most common cancer worldwide. It commonly arises from painless white or red plaques within the oral cavity. Clinical outcome is highly related to the stage when diagnosed. However, early diagnosis is complex owing to the impracticality of biopsying every potentially premalignant intraoral lesion. Therefore, there is a need to develop a non-invasive cost-effective diagnostic technique to differentiate non-malignant and early-stage malignant lesions. Optical spectroscopy may provide an appropriate solution to facilitate early detection of these lesions. It has many advantages over traditional approaches including cost, speed, objectivity, sensitivity, painlessness, and ease-of use in clinical setting for real-time diagnosis. This review consists of a comprehensive overview of optical spectroscopy for oral cancer diagnosis, epidemiology, and recent improvements in this field for diagnostic purposes. It summarizes major developments in label-free optical spectroscopy, including Raman, fluorescence, and diffuse reflectance spectroscopy during recent years. Among the wide range of optical techniques available, we chose these three for this review because they have the ability to provide biochemical information and show great potential for real-time deep-tissue point-based in vivo analysis. This review also highlights the importance of saliva-based potential biomarkers for non-invasive early-stage diagnosis. It concludes with the discussion on the scope of development and future demands from a clinical point of view.
Collapse
Affiliation(s)
- Siddra Maryam
- Tyndall National Institute, University College Cork, T12 R229 Cork, Ireland
- Correspondence:
| | | | - Rekha Gautam
- Tyndall National Institute, University College Cork, T12 R229 Cork, Ireland
| | | | | | - Kiang Wei Kho
- Tyndall National Institute, University College Cork, T12 R229 Cork, Ireland
| | - Huihui Lu
- Tyndall National Institute, University College Cork, T12 R229 Cork, Ireland
| | - Richeal Ni Riordain
- ENTO Research Institute, University College Cork, T12 R229 Cork, Ireland
- Cork University Dental School and Hospital, Wilton, T12 E8YV Cork, Ireland
| | - Linda Feeley
- ENTO Research Institute, University College Cork, T12 R229 Cork, Ireland
- Cork University Hospital, T12 DC4A Cork, Ireland
| | - Patrick Sheahan
- ENTO Research Institute, University College Cork, T12 R229 Cork, Ireland
- South Infirmary Victoria University Hospital, T12 X23H Cork, Ireland
| | - Ray Burke
- Tyndall National Institute, University College Cork, T12 R229 Cork, Ireland
| | | |
Collapse
|
11
|
Perumal J, Lee P, Dev K, Lim HQ, Dinish US, Olivo M. Machine Learning Assisted Real-Time Label-Free SERS Diagnoses of Malignant Pleural Effusion due to Lung Cancer. BIOSENSORS 2022; 12:940. [PMID: 36354448 PMCID: PMC9688333 DOI: 10.3390/bios12110940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 10/08/2022] [Accepted: 10/19/2022] [Indexed: 06/16/2023]
Abstract
More than half of all pleural effusions are due to malignancy of which lung cancer is the main cause. Pleural effusions can complicate the course of pneumonia, pulmonary tuberculosis, or underlying systemic disease. We explore the application of label-free surface-enhanced Raman spectroscopy (SERS) as a point of care (POC) diagnostic tool to identify if pleural effusions are due to lung cancer or to other causes (controls). Lung cancer samples showed specific SERS spectral signatures such as the position and intensity of the Raman band in different wave number region using a novel silver coated silicon nanopillar (SCSNP) as a SERS substrate. We report a classification accuracy of 85% along with a sensitivity and specificity of 87% and 83%, respectively, for the detection of lung cancer over control pleural fluid samples with a receiver operating characteristics (ROC) area under curve value of 0.93 using a PLS-DA binary classifier to distinguish between lung cancer over control subjects. We have also evaluated discriminative wavenumber bands responsible for the distinction between the two classes with the help of a variable importance in projection (VIP) score. We found that our label-free SERS platform was able to distinguish lung cancer from pleural effusions due to other causes (controls) with higher diagnostic accuracy.
Collapse
Affiliation(s)
- Jayakumar Perumal
- Translational Biophotonics Laboratory, Institute of Bioengineering and Bioimaging, Agency for Science, Technology and Research (A*STAR), Singapore 138667, Singapore
| | - Pyng Lee
- Respiratory and Critical Care Medicine, National University Hospital, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
| | - Kapil Dev
- Translational Biophotonics Laboratory, Institute of Bioengineering and Bioimaging, Agency for Science, Technology and Research (A*STAR), Singapore 138667, Singapore
| | - Hann Qian Lim
- Translational Biophotonics Laboratory, Institute of Bioengineering and Bioimaging, Agency for Science, Technology and Research (A*STAR), Singapore 138667, Singapore
| | - U. S. Dinish
- Translational Biophotonics Laboratory, Institute of Bioengineering and Bioimaging, Agency for Science, Technology and Research (A*STAR), Singapore 138667, Singapore
| | - Malini Olivo
- Translational Biophotonics Laboratory, Institute of Bioengineering and Bioimaging, Agency for Science, Technology and Research (A*STAR), Singapore 138667, Singapore
| |
Collapse
|
12
|
Constantinou M, Hadjigeorgiou K, Abalde-Cela S, Andreou C. Label-Free Sensing with Metal Nanostructure-Based Surface-Enhanced Raman Spectroscopy for Cancer Diagnosis. ACS APPLIED NANO MATERIALS 2022; 5:12276-12299. [PMID: 36210923 PMCID: PMC9534173 DOI: 10.1021/acsanm.2c02392] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 07/27/2022] [Indexed: 05/03/2023]
Abstract
Surface-Enhanced Raman Spectroscopy (SERS) is a powerful analytical technique for the detection of small analytes with great potential for medical diagnostic applications. Its high sensitivity and excellent molecular specificity, which stems from the unique fingerprint of molecular species, have been applied toward the detection of different types of cancer. The noninvasive and rapid detection offered by SERS highlights its applicability for point-of-care (PoC) deployment for cancer diagnosis, screening, and staging, as well as for predicting tumor recurrence and treatment monitoring. This review provides an overview of the progress in label-free (direct) SERS-based chemical detection for cancer diagnosis with the main focus on the advances in the design and preparation of SERS substrates on the basis of metal nanoparticle structures formed via bottom-up strategies. It begins by introducing a synopsis of the working principles of SERS, including key chemometric approaches for spectroscopic data analysis. Then it introduces the advances of label-free sensing with SERS in cancer diagnosis using biofluids (blood, urine, saliva, sweat) and breath as the detection media. In the end, an outlook of the advances and challenges in cancer diagnosis via SERS is provided.
Collapse
Affiliation(s)
- Marios Constantinou
- Department
of Electrical and Computer Engineering, University of Cyprus, Nicosia, 2112, Cyprus
| | - Katerina Hadjigeorgiou
- Department
of Electrical and Computer Engineering, University of Cyprus, Nicosia, 2112, Cyprus
| | - Sara Abalde-Cela
- International
Iberian Nanotechnology Laboratory, Avenida Mestre José Veiga s/n, Braga 4715-330, Portugal
| | - Chrysafis Andreou
- Department
of Electrical and Computer Engineering, University of Cyprus, Nicosia, 2112, Cyprus
| |
Collapse
|
13
|
Han R, Lin N, Huang J, Ma X. Diagnostic accuracy of Raman spectroscopy in oral squamous cell carcinoma. Front Oncol 2022; 12:925032. [PMID: 35992884 PMCID: PMC9389172 DOI: 10.3389/fonc.2022.925032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 07/06/2022] [Indexed: 11/13/2022] Open
Abstract
Background Raman spectroscopy (RS) has shown great potential in the diagnosis of oral squamous cell carcinoma (OSCC). Although many single-central original studies have been carried out, it is difficult to use RS in real clinical settings based on the current limited evidence. Herein, we conducted this meta-analysis of diagnostic studies to evaluate the overall performance of RS in OSCC diagnosis. Methods We systematically searched databases including Medline, Embase, and Web of Science for studies from January 2000 to March 2022. Data of true positives, true negatives, false positives, and false negatives were extracted from the included studies to calculate the pooled sensitivity, specificity, accuracy, positive and negative likelihood ratios (LRs), and diagnostic odds ratio (DOR) with 95% confidence intervals, then we plotted the summary receiver operating characteristic (SROC) curve and the area under the curve (AUC) to evaluate the overall performance of RS. Quality assessments and publication bias were evaluated by Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) checklist in Review Manager 5.3. The statistical parameters were calculated with StataSE version 12 and MetaDiSc 1.4. Results In total, 13 studies were included in our meta-analysis. The pooled diagnostic sensitivity and specificity of RS in OSCC were 0.89 (95% CI, 0.85–0.92) and 0.84 (95% CI, 0.78–0.89). The AUC of SROC curve was 0.93 (95% CI, 0.91–0.95). Conclusions RS is a non-invasive diagnostic technology with high specificity and sensitivity for detecting OSCC and has the potential to be applied clinically.
Collapse
Affiliation(s)
- Ruiying Han
- Department of Biotherapy, West China Hospital and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, China
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Sichuan University, Chengdu, China
| | - Nan Lin
- Department of Biotherapy, West China Hospital and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, China
| | - Juan Huang
- Department of Hematology, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- *Correspondence: Xuelei Ma, ; Juan Huang,
| | - Xuelei Ma
- Department of Biotherapy, West China Hospital and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, China
- *Correspondence: Xuelei Ma, ; Juan Huang,
| |
Collapse
|
14
|
Ceballos M, López I, Arizmendi-Morquecho A, Sánchez-Domínguez M. Attomolar detection of 4-aminothiophenol by SERS using silver nanodendrites decorated with gold nanoparticles. NANOTECHNOLOGY 2022; 33:385602. [PMID: 35700703 DOI: 10.1088/1361-6528/ac7882] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 06/14/2022] [Indexed: 06/15/2023]
Abstract
In the present work we report a simple, fast, reproducible and cheap methodology for surface enhanced Raman spectroscopy (SERS) substrate fabrication of silver dendritic nanostructures (prepared by electrodeposition) decorated with gold nanospheres by electrophoretic deposition. This is the first report where a metal dendritic nanostructure has been decorated with another type of metal nanoparticles by this technique. The decorated nanostructures were used directly as SERS substrate using 4-aminothiophenol (4-ATP) as analyte. The objective of the decoration is to create more hot-spots in order to detect the analyte in a lower concentration. Decorated nanodendrites had a detection limit one million times lower than bare silver nanodendrites and all the substrates showed an increase in the Raman intensity at concentrations below 1 nM; because this concentration corresponds to the threshold for the formation of a monolayer resulting in a triple mechanism of intensity increase, namely electric field, chemical factor and hot-spots. 4-ATP was detected in attomolar concentration, which is below 1 ppq, corresponding to an analytical enhancement factor in the order of 1015.
Collapse
Affiliation(s)
- Manuel Ceballos
- Centro de Investigación en Materiales Avanzados, S. C. (CIMAV), Unidad Monterrey, Alianza Norte 202, Parque de Investigación e Innovación Tecnológica, 66628, Apodaca, Nuevo León, Mexico
| | - Israel López
- Universidad Autónoma de Nuevo León, UANL, Facultad de Ciencias Químicas, Laboratorio de Materiales I, Av. Universidad, Cd. Universitaria, 66455, San Nicolás de los Garza, Nuevo León, Mexico
- Universidad Autónoma de Nuevo León, UANL, Centro de Investigación en Biotecnología y Nanotecnología (CIBYN), Laboratorio de Nanociencias y Nanotecnología, Parque de Investigación e Innovación Tecnológica (PIIT), 66629, Apodaca, Nuevo León, Mexico
| | - Ana Arizmendi-Morquecho
- Centro de Investigación en Materiales Avanzados, S. C. (CIMAV), Unidad Monterrey, Alianza Norte 202, Parque de Investigación e Innovación Tecnológica, 66628, Apodaca, Nuevo León, Mexico
| | - Margarita Sánchez-Domínguez
- Centro de Investigación en Materiales Avanzados, S. C. (CIMAV), Unidad Monterrey, Alianza Norte 202, Parque de Investigación e Innovación Tecnológica, 66628, Apodaca, Nuevo León, Mexico
| |
Collapse
|
15
|
da Costa NL, de Sá Alves M, de Sá Rodrigues N, Bandeira CM, Oliveira Alves MG, Mendes MA, Cesar Alves LA, Almeida JD, Barbosa R. Finding the combination of multiple biomarkers to diagnose oral squamous cell carcinoma - A data mining approach. Comput Biol Med 2022; 143:105296. [PMID: 35149458 DOI: 10.1016/j.compbiomed.2022.105296] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 01/03/2022] [Accepted: 01/20/2022] [Indexed: 12/13/2022]
Abstract
Data mining has proven to be a reliable method to analyze and discover useful knowledge about various diseases, including cancer research. In particular, data mining and machine learning algorithms to study oral squamous cell carcinoma (OSCC), the most common form of oral cancer, is a new area of research. This malignant neoplasm can be studied using saliva samples. Saliva is an important biofluid that must be used to verify potential biomarkers associated with oral cancer. In this study, first, we provide an overview of OSSC diagnoses based on machine learning and salivary metabolites. To our knowledge, this is the first study to apply advanced data mining techniques to diagnose OSCC. Then, we give new results of classification and feature selection algorithms used to identify potential salivary biomarkers of OSCC. To accomplish this task, we used the filter feature selection random forest importance algorithm and a wrapper methodology to evaluate the importance of metabolites obtained from gas chromatography mass-spectrometry (GC-MS) in the context of differentiation of OSCC and the control group. Salivary samples (n = 68) were collected for the control group, and the OSCC group were from patients matched for gender, age, and smoking habit. The classification process occurred based on Random Forest (RF) classification algorithm along with 10-cross validation. The results showed that glucuronic acid, maleic acid, and batyl alcohol can classify the samples with an area under the curve (AUC) of 0.91 versus an AUC of 0.76 using all 51 metabolites analyzed. The methodology used in this study can assist healthcare professionals and be adopted to discover diagnostic biomarkers for other diseases.
Collapse
Affiliation(s)
- Nattane Luíza da Costa
- Informatics Nucleo, Goiano Federal Institute of Education, Science and Technology, Campus Urutaí, Urutaí-GO, Brazil.
| | - Mariana de Sá Alves
- Department of Biosciences and Oral Diagnosis, Institute of Science and Technology, São Paulo State University (Unesp), São José dos Campos, Brazil.
| | - Nayara de Sá Rodrigues
- Department of Biosciences and Oral Diagnosis, Institute of Science and Technology, São Paulo State University (Unesp), São José dos Campos, Brazil.
| | - Celso Muller Bandeira
- Department of Biosciences and Oral Diagnosis, Institute of Science and Technology, São Paulo State University (Unesp), São José dos Campos, Brazil.
| | - Mônica Ghislaine Oliveira Alves
- Technology Reaearch Center (NPT), Universidade Mogi das Cruzes, Mogi das Cruzes, Brazil; School of Medicine, Anhembi Morumbi University, São José dos Campos, Brazil.
| | | | - Levy Anderson Cesar Alves
- School of Dentistry, Universidade Paulista, São Paulo, Brazil; School of Dentistry, Universidade Municipal de São Caetano do Sul, São Caetano do Sul, Brazil.
| | - Janete Dias Almeida
- Department of Biosciences and Oral Diagnosis, Institute of Science and Technology, São Paulo State University (Unesp), São José dos Campos, Brazil.
| | - Rommel Barbosa
- Instituto de Informática, Universidade Federal de Goiás, Goiânia-GO, Brazil.
| |
Collapse
|
16
|
Faur C, Falamas A, Chirila M, Roman R, Rotaru H, Moldovan M, Albu S, Baciut M, Robu I, Hedesiu M. Raman spectroscopy in oral cavity and oropharyngeal cancer: a systematic review. Int J Oral Maxillofac Surg 2022; 51:1373-1381. [DOI: 10.1016/j.ijom.2022.02.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 02/22/2022] [Accepted: 02/25/2022] [Indexed: 12/24/2022]
|
17
|
Kobayashi S, Kaneko S, Tamaki T, Kiguchi M, Tsukagoshi K, Terao J, Nishino T. Principal Component Analysis of Surface-Enhanced Raman Scattering Spectra Revealing Isomer-Dependent Electron Transport in Spiropyran Molecular Junctions: Implications for Nanoscale Molecular Electronics. ACS OMEGA 2022; 7:5578-5583. [PMID: 35187372 PMCID: PMC8851897 DOI: 10.1021/acsomega.1c07105] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 01/19/2022] [Indexed: 06/14/2023]
Abstract
The characterization of single-molecule structures could provide significant insights into the operation mechanisms of functional devices. Structural transformation via isomerization has been extensively employed to implement device functionalities. Although single-molecule identification has recently been achieved using near-field spectroscopy, discrimination between isomeric forms remains challenging. Further, the structure-function relationship at the single-molecule scale remains unclear. Herein, we report the observation of the isomerization of spiropyran in a single-molecule junction (SMJ) using simultaneous surface-enhanced Raman scattering (SERS) and conductance measurements. SERS spectra were used to discriminate between isomers based on characteristic peaks. Moreover, conductance measurements, in conjunction with the principal component analysis of the SERS spectra, clearly showed the isomeric effect on the conductance of the SMJ.
Collapse
Affiliation(s)
- Shuji Kobayashi
- Department
of Chemistry, School of Science, Tokyo Institute
of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8551, Japan
| | - Satoshi Kaneko
- Department
of Chemistry, School of Science, Tokyo Institute
of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8551, Japan
- JST
PRESTO, 4-1-8 Honcho, Kawaguchi 332-0012, Japan
| | - Takashi Tamaki
- Department
of Basic Science, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo 153-8902, Japan
| | - Manabu Kiguchi
- Department
of Chemistry, School of Science, Tokyo Institute
of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8551, Japan
| | - Kazuhito Tsukagoshi
- International
Center for Materials Nanoarchitectonics (WPI-MANA), National Institute for Materials Science (NIMS), 1-1 Tsukuba, Ibaraki 305-0044, Japan
| | - Jun Terao
- Department
of Basic Science, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo 153-8902, Japan
| | - Tomoaki Nishino
- Department
of Chemistry, School of Science, Tokyo Institute
of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8551, Japan
| |
Collapse
|
18
|
Chen X, Li X, Yang H, Xie J, Liu A. Diagnosis and staging of diffuse large B-cell lymphoma using label-free surface-enhanced Raman spectroscopy. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 267:120571. [PMID: 34752994 DOI: 10.1016/j.saa.2021.120571] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 10/24/2021] [Accepted: 10/28/2021] [Indexed: 05/27/2023]
Abstract
Non-invasive diagnosis and staging of diffuse large B-cell lymphoma (DLBCL) were achieved using label-free surface-enhanced Raman spectroscopy (SERS). SERS spectra were measured for serum samples of DLBCL patients at different progressive stages and healthy controls (HCs), using colloidal silver nano-particles (AgNPs) as the substrate. Differences in the spectral intensities of Raman peaks were observed between the DLBCL and HC groups, and a close correlation between the spectral intensities of Raman peaks with the progressive stages of the cancer was obtained, demonstrating the possibility of diagnosis and staging of the disease using the serum SERS spectra. Multivariate analysis methods, including principal component analysis (PCA), linear discriminant analysis (LDA), support vector machine (SVM) classifier, and k-nearest neighbors (kNN) classifier, were used to build the diagnosis and staging models for DLBCL. Leave-one-out cross-validation was used to evaluate the performances of the models. The kNN model achieved the best performances for both diagnosis and staging of DLBCL: for the diagnosis analysis, the accuracy, sensitivity, and specificity were 87.3%, 0.921, and 0.809, respectively; for the staging analysis between the early (Stage I & II) and the late (Stage III & IV) stages, the accuracy was 90.6%, and the sensitivity values for the early and the late stages were 0.947 and 0.800, respectively. The label-free serum SERS in combination with multivariate analysis could serve as a potential technique for non-invasive diagnosis and staging of DLBCL.
Collapse
Affiliation(s)
- Xue Chen
- Department of Hematology, Harbin Medical University Cancer Hospital, 150 Haping Road, 150081 Harbin, China.
| | - Xiaohui Li
- Institute of Opto-electronics, Harbin Institute of Technology, 2 Yikuang Street, 150080 Harbin, China; National Key Laboratory on Tunable Laser, Harbin Institute of Technology, 2 Yikuang Street, 150080 Harbin, China.
| | - Hao Yang
- Institute of Opto-electronics, Harbin Institute of Technology, 2 Yikuang Street, 150080 Harbin, China; National Key Laboratory on Tunable Laser, Harbin Institute of Technology, 2 Yikuang Street, 150080 Harbin, China
| | - Jinmei Xie
- Institute of Opto-electronics, Harbin Institute of Technology, 2 Yikuang Street, 150080 Harbin, China; National Key Laboratory on Tunable Laser, Harbin Institute of Technology, 2 Yikuang Street, 150080 Harbin, China
| | - Aichun Liu
- Department of Hematology, Harbin Medical University Cancer Hospital, 150 Haping Road, 150081 Harbin, China
| |
Collapse
|
19
|
Aitekenov S, Sultangaziyev A, Abdirova P, Yussupova L, Gaipov A, Utegulov Z, Bukasov R. Raman, Infrared and Brillouin Spectroscopies of Biofluids for Medical Diagnostics and for Detection of Biomarkers. Crit Rev Anal Chem 2022; 53:1561-1590. [PMID: 35157535 DOI: 10.1080/10408347.2022.2036941] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/23/2023]
Abstract
This review surveys Infrared, Raman/SERS and Brillouin spectroscopies for medical diagnostics and detection of biomarkers in biofluids, that include urine, blood, saliva and other biofluids. These optical sensing techniques are non-contact, noninvasive and relatively rapid, accurate, label-free and affordable. However, those techniques still have to overcome some challenges to be widely adopted in routine clinical diagnostics. This review summarizes and provides insights on recent advancements in research within the field of vibrational spectroscopy for medical diagnostics and its use in detection of many health conditions such as kidney injury, cancers, cardiovascular and infectious diseases. The six comprehensive tables in the review and four tables in supplementary information summarize a few dozen experimental papers in terms of such analytical parameters as limit of detection, range, diagnostic sensitivity and specificity, and other figures of merits. Critical comparison between SERS and FTIR methods of analysis reveals that on average the reported sensitivity for biomarkers in biofluids for SERS vs FTIR is about 103 to 105 times higher, since LOD SERS are lower than LOD FTIR by about this factor. High sensitivity gives SERS an edge in detection of many biomarkers present in biofluids at low concentration (nM and sub nM), which can be particularly advantageous for example in early diagnostics of cancer or viral infections.HighlightsRaman, Infrared spectroscopies use low volume of biofluidic samples, little sample preparation, fast time of analysis and relatively inexpensive instrumentation.Applications of SERS may be a bit more complicated than applications of FTIR (e.g., limited shelf life for nanoparticles and substrates, etc.), but this can be generously compensated by much higher (by several order of magnitude) sensitivity in comparison to FTIR.High sensitivity makes SERS a noninvasive analytical method of choice for detection, quantification and diagnostics of many health conditions, metabolites, and drugs, particularly in diagnostics of cancer, including diagnostics of its early stages.FTIR, particularly ATR-FTIR can be a method of choice for efficient sensing of many biomarkers, present in urine, blood and other biofluids at sufficiently high concentrations (mM and even a few µM)Brillouin scattering spectroscopy detecting visco-elastic properties of probed liquid medium, may also find application in clinical analysis of some biofluids, such as cerebrospinal fluid and urine.
Collapse
Affiliation(s)
- Sultan Aitekenov
- Department of Chemistry, School of Sciences and Humanities (SSH), Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Alisher Sultangaziyev
- Department of Chemistry, School of Sciences and Humanities (SSH), Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Perizat Abdirova
- Department of Chemistry, School of Sciences and Humanities (SSH), Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Lyailya Yussupova
- Department of Chemistry, School of Sciences and Humanities (SSH), Nazarbayev University, Nur-Sultan, Kazakhstan
| | | | - Zhandos Utegulov
- Department of Physics, School of Sciences and Humanities (SSH), Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Rostislav Bukasov
- Department of Chemistry, School of Sciences and Humanities (SSH), Nazarbayev University, Nur-Sultan, Kazakhstan
| |
Collapse
|
20
|
Zhang Y, Ren L, Wang Q, Wen Z, Liu C, Ding Y. Raman Spectroscopy: A Potential Diagnostic Tool for Oral Diseases. Front Cell Infect Microbiol 2022; 12:775236. [PMID: 35186787 PMCID: PMC8855094 DOI: 10.3389/fcimb.2022.775236] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 01/17/2022] [Indexed: 12/24/2022] Open
Abstract
Oral diseases impose a major health burden worldwide and have a profound effect on general health. Dental caries, periodontal diseases, and oral cancers are the most common oral health conditions. Their occurrence and development are related to oral microbes, and effective measures for their prevention and the promotion of oral health are urgently needed. Raman spectroscopy detects molecular vibration information by collecting inelastic scattering light, allowing a “fingerprint” of a sample to be acquired. It provides the advantages of rapid, sensitive, accurate, and minimally invasive detection as well as minimal interference from water in the “fingerprint region.” Owing to these characteristics, Raman spectroscopy has been used in medical detection in various fields to assist diagnosis and evaluate prognosis, such as detecting and differentiating between bacteria or between neoplastic and normal brain tissues. Many oral diseases are related to oral microbial dysbiosis, and their lesions differ from normal tissues in essential components. The colonization of keystone pathogens, such as Porphyromonas gingivalis, resulting in microbial dysbiosis in subgingival plaque, is the main cause of periodontitis. Moreover, the components in gingival crevicular fluid, such as infiltrating inflammatory cells and tissue degradation products, are markedly different between individuals with and without periodontitis. Regarding dental caries, the compositions of decayed teeth are transformed, accompanied by an increase in acid-producing bacteria. In oral cancers, the compositions and structures of lesions and normal tissues are different. Thus, the changes in bacteria and the components of saliva and tissue can be used in examinations as special markers for these oral diseases, and Raman spectroscopy has been acknowledged as a promising measure for detecting these markers. This review summarizes and discusses key research and remaining problems in this area. Based on this, suggestions for further study are proposed.
Collapse
Affiliation(s)
- Yuwei Zhang
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Periodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Liang Ren
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Periodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Qi Wang
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Zhining Wen
- College of Chemistry, Sichuan University, Chengdu, China
| | - Chengcheng Liu
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Periodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China
- *Correspondence: Chengcheng Liu, ; Yi Ding,
| | - Yi Ding
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Periodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China
- *Correspondence: Chengcheng Liu, ; Yi Ding,
| |
Collapse
|
21
|
Non-invasive discrimination of multiple myeloma using label-free serum surface-enhanced Raman scattering spectroscopy in combination with multivariate analysis. Anal Chim Acta 2022; 1191:339296. [PMID: 35033255 DOI: 10.1016/j.aca.2021.339296] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 10/13/2021] [Accepted: 11/15/2021] [Indexed: 11/22/2022]
Abstract
We report non-invasive discrimination of multiple myeloma (MM) using label-free serum surface-enhanced Raman scattering (SERS) spectroscopy in combination with multivariate analysis. Colloidal silver nano-particles (AgNPs) were used as the SERS substrate. High quality serum SERS spectra were obtained from 53 MM patients and 44 healthy controls (HCs). The SERS spectral differences demonstrated variation of relative concentrations of biomolecules in the serum of MM patients in comparison to HCs. Multivariate analysis methods, including principal component analysis (PCA), linear discriminant analysis (LDA), and support vector machine (SVM), were used to build discrimination models for MM. Leave-one-out cross-validation (LOOCV) was used to evaluate the performances of the models, in terms of accuracy, sensitivity, specificity, and area under the receiver operating characteristic curves (AUC). Using the SVM model, the accuracy for discrimination of MM was achieved as 78.4%, and the corresponding sensitivity, specificity, and AUC values were 0.830, 0.727, and 0.840, respectively. The results show that the serum SERS in combination with multivariate analysis could be a fast, non-invasive, and cost-effective technique for discrimination of MM.
Collapse
|
22
|
Ceballos M, López I, Arizmendi-Morquecho A, Sánchez-Domínguez M. Zeptomolar detection of 4-aminothiophenol by SERS using silver nanodendrites decorated with gold nanoparticles. NANOTECHNOLOGY 2021; 33:125601. [PMID: 34875636 DOI: 10.1088/1361-6528/ac40be] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 12/07/2021] [Indexed: 06/13/2023]
Abstract
In the present work, we report a simple, fast, reproducible and cheap methodology for SERS substrate fabrication of silver dendritic nanostructures (prepared by electrodeposition) decorated with gold nanospheres by electrophoretic deposition. This is the first report where a metal dendritic nanostructure has been decorated with another type of metal nanoparticles by this technique. The decorated nanostructures were used directly as SERS substrate using 4-aminothiophenol (4-ATP) as analyte. The objective of the decoration is to create more hot-spots in order to detect the analyte in a lower concentration. Decorated nanodendrites had a detection limit one million times lower than bare silver nanodendrites and all the substrates showed an increase in the Raman intensity at concentrations below 1 nM; because this concentration corresponds to the threshold for the formation of a monolayer resulting in a triple mechanism of intensity increase, namely electric field, chemical factor and hot-spots. 4-ATP was detected in zeptomolar concentration, which is below 1 ppq, corresponding to an analytical enhancement factor in the order of 1015.
Collapse
Affiliation(s)
- Manuel Ceballos
- Centro de Investigación en Materiales Avanzados, S. C. (CIMAV), Unidad Monterrey, Alianza Norte 202, Parque de Investigación e Innovación Tecnológica, 66628, Apodaca, Nuevo León, Mexico
| | - Israel López
- Universidad Autónoma de Nuevo León, UANL, Facultad de Ciencias Químicas, Laboratorio de Materiales I, Av. Universidad, Cd. Universitaria, 66455, San Nicolás de los Garza, Nuevo León, Mexico
- Universidad Autónoma de Nuevo León, UANL, Centro de Investigación en Biotecnología y Nanotecnología (CIBYN), Laboratorio de Nanociencias y Nanotecnología, Parque de Investigación e Innovación Tecnológica (PIIT), 66629, Apodaca, Nuevo León, Mexico
| | - Ana Arizmendi-Morquecho
- Centro de Investigación en Materiales Avanzados, S. C. (CIMAV), Unidad Monterrey, Alianza Norte 202, Parque de Investigación e Innovación Tecnológica, 66628, Apodaca, Nuevo León, Mexico
| | - Margarita Sánchez-Domínguez
- Centro de Investigación en Materiales Avanzados, S. C. (CIMAV), Unidad Monterrey, Alianza Norte 202, Parque de Investigación e Innovación Tecnológica, 66628, Apodaca, Nuevo León, Mexico
| |
Collapse
|
23
|
Buchan E, Kelleher L, Clancy M, Stanley Rickard JJ, Oppenheimer PG. Spectroscopic molecular-fingerprint profiling of saliva. Anal Chim Acta 2021; 1185:339074. [PMID: 34711319 DOI: 10.1016/j.aca.2021.339074] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 09/04/2021] [Accepted: 09/15/2021] [Indexed: 01/26/2023]
Abstract
Saliva analysis has been gaining interest as a potential non-invasive source of disease indicative biomarkers due to being a complex biofluid correlating with blood-based constituents on a molecular level. For saliva to cement its usage for analytical applications, it is paramount to gain underpinning molecular knowledge and establish a 'baseline' of the salivary composition in healthy individuals as well as characterize how these factors are impacting its performance as potential analytical biofluid. Here, we have systematically studied the molecular spectral fingerprint of saliva, including the changes associated with gender, age, and time. Via hybrid artificial neural network algorithms and Raman spectroscopy, we have developed a non-destructive molecular profiling approach enabling the assessment of salivary spectral changes yielding the determination of gender and age of the biofluid source. Our classification algorithm successfully identified the gender and age from saliva with high classification accuracy. Discernible spectral molecular 'barcodes' were subsequently constructed for each class and found to primarily stem from amino acid, protein, and lipid changes in saliva. This unique combination of Raman spectroscopy and advanced machine learning techniques lays the platform for a variety of applications in forensics and biosensing.
Collapse
Affiliation(s)
- Emma Buchan
- School of Chemical Engineering, Advanced Nanomaterials Structures and Applications Laboratories, College of Engineering and Physical Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Liam Kelleher
- School of Chemical Engineering, Advanced Nanomaterials Structures and Applications Laboratories, College of Engineering and Physical Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Michael Clancy
- School of Chemical Engineering, Advanced Nanomaterials Structures and Applications Laboratories, College of Engineering and Physical Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | | | - Pola Goldberg Oppenheimer
- School of Chemical Engineering, Advanced Nanomaterials Structures and Applications Laboratories, College of Engineering and Physical Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK; Healthcare Technologies Institute, Institute of Translational Medicine, Mindelsohn Way, Birmingham, B15 2TH, UK.
| |
Collapse
|
24
|
A New Look into Cancer-A Review on the Contribution of Vibrational Spectroscopy on Early Diagnosis and Surgery Guidance. Cancers (Basel) 2021; 13:cancers13215336. [PMID: 34771500 PMCID: PMC8582426 DOI: 10.3390/cancers13215336] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 10/14/2021] [Accepted: 10/18/2021] [Indexed: 02/05/2023] Open
Abstract
Simple Summary Cancer is a leading cause of death worldwide, with the detection of the disease in its early stages, as well as a correct assessment of the tumour margins, being paramount for a successful recovery. While breast cancer is one of most common types of cancer, head and neck cancer is one of the types of cancer with a lower prognosis and poor aesthetic results. Vibrational spectroscopy detects molecular vibrations, being sensitive to different sample compositions, even when the difference was slight. The use of spectroscopy in biomedicine has been extensively explored, since it allows a broader assessment of the biochemical fingerprint of several diseases. This literature review covers the most recent advances in breast and head and neck cancer early diagnosis and intraoperative margin assessment, through Raman and Fourier transform infrared spectroscopies. The rising field of spectral histopathology was also approached. The authors aimed at expounding in a more concise and simple way the challenges faced by clinicians and how vibrational spectroscopy has evolved to respond to those needs for the two types of cancer with the highest potential for improvement regarding an early diagnosis, surgical margin assessment and histopathology. Abstract In 2020, approximately 10 million people died of cancer, rendering this disease the second leading cause of death worldwide. Detecting cancer in its early stages is paramount for patients’ prognosis and survival. Hence, the scientific and medical communities are engaged in improving both therapeutic strategies and diagnostic methodologies, beyond prevention. Optical vibrational spectroscopy has been shown to be an ideal diagnostic method for early cancer diagnosis and surgical margins assessment, as a complement to histopathological analysis. Being highly sensitive, non-invasive and capable of real-time molecular imaging, Raman and Fourier transform infrared (FTIR) spectroscopies give information on the biochemical profile of the tissue under analysis, detecting the metabolic differences between healthy and cancerous portions of the same sample. This constitutes tremendous progress in the field, since the cancer-prompted morphological alterations often occur after the biochemical imbalances in the oncogenic process. Therefore, the early cancer-associated metabolic changes are unnoticed by the histopathologist. Additionally, Raman and FTIR spectroscopies significantly reduce the subjectivity linked to cancer diagnosis. This review focuses on breast and head and neck cancers, their clinical needs and the progress made to date using vibrational spectroscopy as a diagnostic technique prior to surgical intervention and intraoperative margin assessment.
Collapse
|
25
|
Lin T, Song YL, Kuang P, Chen S, Mao Z, Zeng TT. Nanostructure-based surface-enhanced Raman scattering for diagnosis of cancer. Nanomedicine (Lond) 2021; 16:2389-2406. [PMID: 34530631 DOI: 10.2217/nnm-2021-0298] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Cancer is a malignant disease that seriously affects human health and life. Early diagnosis and timely treatment can significantly improve the survival rate of cancer patients. Surface-enhanced Raman scattering (SERS) is an optical technology that can detect and image samples at the single-molecule level. It has the advantages of rapidity, high specificity, high sensitivity and no damage to the sample. The performance of SERS is highly dependent on the properties, size and morphology of the SERS substrate. Preparation of SERS substrates with good reproducibility and chemical stability is a key factor in realizing the wide application of SERS technology in cancer diagnosis. In this review we provide a detailed presentation of the latest research on SERS in cancer diagnosis and the detection of cancer biomarkers, mainly focusing on nanotechnological approaches in cancer diagnosis by using SERS. We also consider the future development of nanostructure-based SERS in cancer diagnosis.
Collapse
Affiliation(s)
- Ting Lin
- Department of Hematology, Research Laboratory of Hematology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Ya-Li Song
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Pu Kuang
- Department of Hematology, Research Laboratory of Hematology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Si Chen
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Zhigang Mao
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Ting-Ting Zeng
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| |
Collapse
|
26
|
Moisoiu V, Iancu SD, Stefancu A, Moisoiu T, Pardini B, Dragomir MP, Crisan N, Avram L, Crisan D, Andras I, Fodor D, Leopold LF, Socaciu C, Bálint Z, Tomuleasa C, Elec F, Leopold N. SERS liquid biopsy: An emerging tool for medical diagnosis. Colloids Surf B Biointerfaces 2021; 208:112064. [PMID: 34517219 DOI: 10.1016/j.colsurfb.2021.112064] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 08/09/2021] [Accepted: 08/20/2021] [Indexed: 02/02/2023]
Abstract
Surface-enhanced Raman scattering (SERS) is emerging as a novel strategy for biofluid analysis. In this review, we delineate four experimental SERS protocols that are frequently used for the profiling of biofluids: 1) liquid SERS for the detection of purine metabolites; 2) iodide-modified liquid SERS for the detection of proteins; 3) dried SERS for the detection of both purine metabolites and proteins; 4) resonant Raman for the detection of carotenoids. To explain the selectivity of each experimental SERS protocol, we introduce a heuristic model for the chemisorption of analytes mediated by adsorbed ions (adions) onto the SERS substrate. Next, we show that the promising results of SERS liquid biopsy stem from the fact that the concentration levels of purine metabolites, proteins and carotenoids are informative of the cellular turnover rate, inflammation, and oxidative stress, respectively. These processes are perturbed in virtually every disease, from cancer to autoimmune maladies. Finally, we review recent SERS liquid biopsy studies and discuss future steps that are required for translating SERS in the clinical setting.
Collapse
Affiliation(s)
- Vlad Moisoiu
- Faculty of Physics, Babeș-Bolyai University, 400084, Cluj-Napoca, Romania
| | - Stefania D Iancu
- Faculty of Physics, Babeș-Bolyai University, 400084, Cluj-Napoca, Romania
| | - Andrei Stefancu
- Faculty of Physics, Babeș-Bolyai University, 400084, Cluj-Napoca, Romania
| | - Tudor Moisoiu
- Clinical Institute of Urology and Renal Transplant, 400006, Cluj-Napoca, Romania; Biomed Data Analytics SRL, 400696, Cluj-Napoca, Romania; Department of Urology, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania
| | - Barbara Pardini
- Candiolo Cancer Institute, FPO-IRCCS, 10060, Candiolo, Italy; Italian Institute of Genomic Medicine (IIGM), 10060, Candiolo, Italy
| | - Mihnea P Dragomir
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
| | - Nicolae Crisan
- Department of Urology, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania; Clinical Municipal Hospital, 400139, Cluj-Napoca, Romania
| | - Lucretia Avram
- Clinical Municipal Hospital, 400139, Cluj-Napoca, Romania; Department of Geriatrics, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania
| | - Dana Crisan
- Clinical Municipal Hospital, 400139, Cluj-Napoca, Romania; 5th Internal Medicine Department, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania
| | - Iulia Andras
- Department of Urology, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania; Clinical Municipal Hospital, 400139, Cluj-Napoca, Romania
| | - Daniela Fodor
- 2nd Internal Medicine Department, Iuliu Hatieganu University of Medicine and Pharmacy, 400006, Cluj-Napoca, Romania
| | - Loredana F Leopold
- Faculty of Food Science and Technology, University of Agricultural Sciences and Veterinary Medicine, 400372, Cluj-Napoca, Romania
| | - Carmen Socaciu
- Faculty of Food Science and Technology, University of Agricultural Sciences and Veterinary Medicine, 400372, Cluj-Napoca, Romania; BIODIATECH Research Centre for Applied Biotechnology, SC Proplanta, 400478, Cluj-Napoca, Romania
| | - Zoltán Bálint
- Faculty of Physics, Babeș-Bolyai University, 400084, Cluj-Napoca, Romania
| | - Ciprian Tomuleasa
- Department of Hematology, Iuliu Hatieganu University of Medicine and Pharmacy, 400124, Cluj-Napoca, Romania; Department of Hematology, Ion Chiricuta Clinical Cancer Center, 400124, Cluj-Napoca, Romania; Medfuture Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400349, Cluj-Napoca, Romania
| | - Florin Elec
- Clinical Institute of Urology and Renal Transplant, 400006, Cluj-Napoca, Romania; Department of Urology, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania.
| | - Nicolae Leopold
- Faculty of Physics, Babeș-Bolyai University, 400084, Cluj-Napoca, Romania; Biomed Data Analytics SRL, 400696, Cluj-Napoca, Romania.
| |
Collapse
|
27
|
Salivary exosomal microRNAs as biomarkers for head and neck cancer detection-a literature review. Maxillofac Plast Reconstr Surg 2021; 43:19. [PMID: 34191144 PMCID: PMC8245637 DOI: 10.1186/s40902-021-00303-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 06/08/2021] [Indexed: 11/30/2022] Open
Abstract
Background MicroRNAs (miRs) are small, non-coding mRNA molecules which regulate cellular processes in tumorigenesis. miRs were discovered in extracellular environment and biological fluids, carrying marks of head and neck squamous cell carcinoma (HNSCC). They were also identified in abundance in salivary exosomes, in which they are protected by exosome lipid barrier against enzymatic injuries and therefore, the accuracy of exosomal miR-based cancer detection increase. This systematic review aimed to reveal and inventorize the most reliable exosomal miRNAs in saliva samples which can be used as novel biomarkers for early detection of HNSCC. Materials and methods A systematic literature search, according to PRISMA guideline, was performed on Pubmed and Google Academic libraries, based on specific keywords. Original articles published between 2010 and 2021 were selected. The quality of each paper was assessed using the Quality Evaluation Scoring Tool. Results At the end of selection process, five studies met the inclusion criteria. These studies analyzed twelve salivary exosomal miRs, presenting different methods of exosome and miR identification for HNSCC detection. A comprehensive explanation of the miR pathways of action was drawn and illustrated in this review. Conclusion Exosomal miRs are promising biomarkers for oral cavity and oropharyngeal cancer detection. miR-10b-5p, miR-486-5p, miR-24-3p and miR-200a stand as the most useful ones in saliva sample examination.
Collapse
|
28
|
Byrne HJ, Behl I, Calado G, Ibrahim O, Toner M, Galvin S, Healy CM, Flint S, Lyng FM. Biomedical applications of vibrational spectroscopy: Oral cancer diagnostics. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 252:119470. [PMID: 33503511 DOI: 10.1016/j.saa.2021.119470] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 01/09/2021] [Accepted: 01/10/2021] [Indexed: 06/12/2023]
Abstract
Vibrational spectroscopy, based on either infrared absorption or Raman scattering, has attracted increasing attention for biomedical applications. Proof of concept explorations for diagnosis of oral potentially malignant disorders and cancer are reviewed, and recent advances critically appraised. Specific examples of applications of Raman microspectroscopy for analysis of histological, cytological and saliva samples are presented for illustrative purposes, and the future prospects, ultimately for routine, chairside in vivo screening are discussed.
Collapse
Affiliation(s)
- Hugh J Byrne
- FOCAS Research Institute, Technological University Dublin, City Campus, Dublin 8, Ireland.
| | - Isha Behl
- School of Physics and Clinical and Optometric Sciences, Technological University Dublin, City Campus, Dublin 8, Ireland; Radiation and Environmental Science Centre, FOCAS Research Institute, Technological University Dublin, City Campus, Dublin 8, Ireland
| | - Genecy Calado
- School of Physics and Clinical and Optometric Sciences, Technological University Dublin, City Campus, Dublin 8, Ireland; Radiation and Environmental Science Centre, FOCAS Research Institute, Technological University Dublin, City Campus, Dublin 8, Ireland
| | - Ola Ibrahim
- School of Dental Science, Trinity College Dublin, Lincoln Place, Dublin 2, Ireland
| | - Mary Toner
- Central Pathology Laboratory, St. James Hospital, James Street, Dublin 8, Ireland
| | - Sheila Galvin
- Oral Medicine Unit, Dublin Dental University Hospital, Trinity College Dublin, Lincoln Place, Dublin 2, Ireland
| | - Claire M Healy
- Oral Medicine Unit, Dublin Dental University Hospital, Trinity College Dublin, Lincoln Place, Dublin 2, Ireland
| | - Stephen Flint
- Oral Medicine Unit, Dublin Dental University Hospital, Trinity College Dublin, Lincoln Place, Dublin 2, Ireland
| | - Fiona M Lyng
- School of Physics and Clinical and Optometric Sciences, Technological University Dublin, City Campus, Dublin 8, Ireland; Radiation and Environmental Science Centre, FOCAS Research Institute, Technological University Dublin, City Campus, Dublin 8, Ireland
| |
Collapse
|
29
|
Falamas A, Faur CI, Ciupe S, Chirila M, Rotaru H, Hedesiu M, Cinta Pinzaru S. Rapid and noninvasive diagnosis of oral and oropharyngeal cancer based on micro-Raman and FT-IR spectra of saliva. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 252:119477. [PMID: 33545509 DOI: 10.1016/j.saa.2021.119477] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 01/04/2021] [Accepted: 01/09/2021] [Indexed: 06/12/2023]
Abstract
Fast, sensitive, and noninvasive techniques are needed for better health care management, particularly when traditional biopsies could be replaced with appropriate analyses of body fluids, such as saliva. Here is presented a proof-of-concept study, which aims to test a recently developed saliva samples preparation method, for oral and oropharyngeal cancer diagnosis, using micro-Raman and Fourier transform infrared (FT-IR) spectroscopic techniques. The detected biomarker bands and the cancer classification rates are compared and discussed. Saliva samples were collected from healthy donors and pathologically confirmed oral and oropharyngeal cancer patients. Principal components analysis (PCA) and principal components analysis-linear discriminant analysis (PCA-LDA) chemometric methods were applied to build discrimination models for the test and control groups. Based on the differences between salivary spectra of healthy and cancer patients, several biomarker bands were identified. Noteworthy, a significant vibrational biomarker band at 2064 cm-1, assigned to thiocyanate, was observed in both the FT-IR and Raman data-set. Other cancer characteristic Raman bands were 754 cm-1 (tryptophan), 530 and 927 cm-1 (lysozyme), 1001 cm-1 (phenylalanine), while the FT-IR biomarker band was located at 1075 cm-1 (phosphodiester bonds stretching in DNA, RNA). The oral and oropharyngeal cancer was classified with an accuracy of 90% based on the micro-Raman data and 82% based on the FT-IR data set, respectively. The study showed that oral and oropharyngeal cancer can be differentiated from control saliva samples based on their respective micro-Raman and FT-IR spectral signatures, due to the biomolecular modifications induced by the disease.
Collapse
Affiliation(s)
- A Falamas
- Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, Cluj-Napoca, Romania.
| | - C I Faur
- Department of Maxillofacial Surgery and Radiology, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - S Ciupe
- Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, Cluj-Napoca, Romania
| | - M Chirila
- Department of ENT, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - H Rotaru
- Department of Maxillofacial Surgery and Radiology, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - M Hedesiu
- Department of Maxillofacial Surgery and Radiology, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - S Cinta Pinzaru
- Biomolecular Physics Department, Faculty of Physics, Babes-Bolyai University, Cluj-Napoca, Romania.
| |
Collapse
|
30
|
Kaur J, Srivastava R, Borse V. Recent advances in point-of-care diagnostics for oral cancer. Biosens Bioelectron 2021; 178:112995. [PMID: 33515983 DOI: 10.1016/j.bios.2021.112995] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 01/07/2021] [Accepted: 01/10/2021] [Indexed: 12/24/2022]
Abstract
Early-stage diagnosis is a crucial step in reducing the mortality rate in oral cancer cases. Point-of-care (POC) devices for oral cancer diagnosis hold great future potential in improving the survival rates as well as the quality of life of oral cancer patients. The conventional oral examination followed by needle biopsy and histopathological analysis have limited diagnostic accuracy. Besides, it involves patient discomfort and is not feasible in resource-limited settings. POC detection of biomarkers and diagnostic adjuncts has emerged as non- or minimally invasive tools for the diagnosis of oral cancer at an early stage. Various biosensors have been developed for the rapid detection of oral cancer biomarkers at the point-of-care. Several optical imaging methods have also been employed as adjuncts to detect alterations in oral tissue indicative of malignancy. This review summarizes the different POC platforms developed for the detection of oral cancer biomarkers, along with various POC imaging and cytological adjuncts that aid in oral cancer diagnosis, especially in low resource settings. Various immunosensors and nucleic acid biosensors developed to detect oral cancer biomarkers are summarized with examples. The different imaging methods used to detect oral tissue malignancy are also discussed herein. Additionally, the currently available commercial devices used as adjuncts in the POC detection of oral cancer are emphasized along with their characteristics. Finally, we discuss the limitations and challenges that persist in translating the developed POC techniques in the clinical settings for oral cancer diagnosis, along with future perspectives.
Collapse
Affiliation(s)
- Jasmeen Kaur
- NanoBios Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India
| | - Rohit Srivastava
- NanoBios Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India
| | - Vivek Borse
- NanoBioSens Laboratory, Centre for Nanotechnology, Indian Institute of Technology Guwahati, Guwahati, Assam, 781039, India.
| |
Collapse
|
31
|
Characterization of the COPD Salivary Fingerprint through Surface Enhanced Raman Spectroscopy: A Pilot Study. Diagnostics (Basel) 2021; 11:diagnostics11030508. [PMID: 33809282 PMCID: PMC7999017 DOI: 10.3390/diagnostics11030508] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 03/10/2021] [Accepted: 03/11/2021] [Indexed: 01/15/2023] Open
Abstract
Chronic Obstructive Pulmonary Disease (COPD) is a debilitating pathology characterized by reduced lung function, breathlessness and rapid and unrelenting decrease in quality of life. The severity rate and the therapy selection are strictly dependent on various parameters verifiable after years of clinical observations, missing a direct biomarker associated with COPD. In this work, we report the methodological application of Surface Enhanced Raman Spectroscopy combined with Multivariate statistics for the analysis of saliva samples collected from 15 patients affected by COPD and 15 related healthy subjects in a pilot study. The comparative Raman analysis allowed to determine a specific signature of the pathological saliva, highlighting differences in determined biological species, already studied and characterized in COPD onset, compared to the Raman signature of healthy samples. The unsupervised principal component analysis and hierarchical clustering revealed a sharp data dispersion between the two experimental groups. Using the linear discriminant analysis, we created a classification model able to discriminate the collected signals with accuracies, specificities, and sensitivities of more than 98%. The results of this preliminary study are promising for further applications of Raman spectroscopy in the COPD clinical field.
Collapse
|
32
|
Distinct stratification of normal liver, hepatocellular carcinoma (HCC), and anticancer nanomedicine-treated- tumor tissues by Raman fingerprinting for HCC therapeutic monitoring. NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE 2021; 33:102352. [PMID: 33418135 DOI: 10.1016/j.nano.2020.102352] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Revised: 12/04/2020] [Accepted: 12/05/2020] [Indexed: 01/22/2023]
Abstract
Hepatocellular carcinomas (HCCs) are highly vascularized neoplasms with poor prognosis. Nanomedicine possesses great potential to deliver therapeutics and diagnostics. The new aspect of this study is that we have monitored, for the first time, the Raman responses to microtubule targeted vascular disrupting agents (MTVDA), MTVDA encapsulated non-targeted, and targeted cetuximab polymeric nanocomplexes delivery of combinatorial therapeutics in HCC tumor tissues of mice. Biochemical differences majorly demarcated apoptotic lipid bodies, and characteristic amide-I features. HCC tumor and healthy liver tissues could be stratified. Raman spectroscopy served as an excellent, rapid, sensitive and cost-effective approach for anticancer nanomedicine distinct stratification of MTVDA encapsulated targeted cetuximab polymeric nanocomplex combinatorials, a significant potential for HCC therapeutic monitoring.
Collapse
|
33
|
Tang P, Xing M, Xing X, Tao Q, Cheng W, Liu S, Lu X, Zhong L. Receptor-mediated photothermal/photodynamic synergistic anticancer nanodrugs with SERS tracing function. Colloids Surf B Biointerfaces 2021; 199:111550. [PMID: 33385819 DOI: 10.1016/j.colsurfb.2020.111550] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 12/01/2020] [Accepted: 12/19/2020] [Indexed: 01/08/2023]
Abstract
Phototherapy, especially the photothermal therapy (PTT) and the photodynamic therapy (PDT), have become very promising in cancer treatment due to its low invasiveness and high efficacy. Both PTT and PDT involve the utilization of light energy, and their synergistic treatment should be a good solution for cancer treatment by ingenious design. The therapeutic effect of phototherapy is closely associated with the amount and location of anticancer-nanodrugs accumulated in tumor cells, and the receptor-mediated endocytosis should be an excellent candidate for enhancing anticancer-nanodrugs internalization. Surface enhanced Raman spectroscopy (SERS) imaging is suitable for tracing nanodrugs due to its high selectivity, sensitivity and reliability. In this paper, we hope to construct a receptor-mediated PTT/PDT synergistic anticancer nanodrugs and evaluate the corresponding efficacy through SERS tracing function. Here, the receptor-mediated PTT/PDT synergistic anticancer nanodrugs are prepared by the chemical modification of gold nanorods (GNRs), involving protoporphyrin IX (PpIX), 4-mecaptobenzoic acid (MBA), and folic acid (FA). The achieved results show that the receptor-mediated endocytosis can greatly facilitate the internalized amount and intracellular distribution of the nanodrugs, thus lead to the anti-cancer efficacy improvement. Importantly, this receptor-mediated PTT/PDT synergistic treatment with SERS tracing function will provide a simple and effective strategy for the design and application of anticancer phototherapy nanodrugs.
Collapse
Affiliation(s)
- Ping Tang
- Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, South China Normal University, Guangzhou 510006, China
| | - Meishuang Xing
- Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, South China Normal University, Guangzhou 510006, China
| | - Xinyue Xing
- Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, South China Normal University, Guangzhou 510006, China
| | - Qiao Tao
- Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, South China Normal University, Guangzhou 510006, China
| | - Wendai Cheng
- Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, South China Normal University, Guangzhou 510006, China
| | - Shengde Liu
- Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, South China Normal University, Guangzhou 510006, China
| | - Xiaoxu Lu
- Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, South China Normal University, Guangzhou 510006, China
| | - Liyun Zhong
- Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, South China Normal University, Guangzhou 510006, China; Guangdong Provincial Key Laboratory of Photonics Information Technology, Guangdong University of Technology, Guangzhou 510004, China.
| |
Collapse
|
34
|
Lin J, Huang Z, Lin X, Wu Q, Quan K, Cheng Y, Zheng M, Xu J, Dai Y, Qiu H, Lin D, Feng S. Rapid and label-free urine test based on surface-enhanced Raman spectroscopy for the non-invasive detection of colorectal cancer at different stages. BIOMEDICAL OPTICS EXPRESS 2020; 11:7109-7119. [PMID: 33408983 PMCID: PMC7747921 DOI: 10.1364/boe.406097] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 10/29/2020] [Accepted: 11/02/2020] [Indexed: 05/09/2023]
Abstract
The concept of being able to urinate in a cup and screen for colorectal cancer (CRC) is fascinating to the public at large. Here, a simple and label-free urine test based on surface-enhanced Raman spectroscopy (SERS) was employed for CRC detection. Significant spectral differences among normal, stages I-II, and stages III-IV CRC urines were observed. Using discriminant function analysis, the diagnostic sensitivities of 95.8%, 80.9%, and 84.3% for classification of normal, stages I-II, and stages III-IV CRC were achieved in training model, indicating the great promise of urine SERS as a rapid, convenient and noninvasive method for CRC staging detection.
Collapse
Affiliation(s)
- Jinyong Lin
- Radiation Oncology Department, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, 350014, China
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Digital Fujian Internet-of-Things Laboratory of Environment Monitoring, Fujian Normal University, Fuzhou, 350007, China
- These authors contributed equally to this work
| | - Zongwei Huang
- Radiation Oncology Department, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, 350014, China
- These authors contributed equally to this work
| | - Xueliang Lin
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Digital Fujian Internet-of-Things Laboratory of Environment Monitoring, Fujian Normal University, Fuzhou, 350007, China
| | - Qiong Wu
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Digital Fujian Internet-of-Things Laboratory of Environment Monitoring, Fujian Normal University, Fuzhou, 350007, China
| | - Kerun Quan
- School of Nuclear Science and Technology, University of South China, Hengyang 421001, China
| | - Yanming Cheng
- Radiation Oncology Department, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, 350014, China
| | - Mingzhi Zheng
- Radiation Oncology Department, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, 350014, China
| | - Jiaying Xu
- Radiation Oncology Department, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, 350014, China
| | - Yitao Dai
- Radiation Oncology Department, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, 350014, China
| | - Hejin Qiu
- Radiation Oncology Department, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, 350014, China
| | - Duo Lin
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Digital Fujian Internet-of-Things Laboratory of Environment Monitoring, Fujian Normal University, Fuzhou, 350007, China
| | - Shangyuan Feng
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Digital Fujian Internet-of-Things Laboratory of Environment Monitoring, Fujian Normal University, Fuzhou, 350007, China
| |
Collapse
|
35
|
Hackshaw KV, Miller JS, Aykas DP, Rodriguez-Saona L. Vibrational Spectroscopy for Identification of Metabolites in Biologic Samples. Molecules 2020; 25:E4725. [PMID: 33076318 PMCID: PMC7587585 DOI: 10.3390/molecules25204725] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Revised: 09/27/2020] [Accepted: 09/28/2020] [Indexed: 12/16/2022] Open
Abstract
Vibrational spectroscopy (mid-infrared (IR) and Raman) and its fingerprinting capabilities offer rapid, high-throughput, and non-destructive analysis of a wide range of sample types producing a characteristic chemical "fingerprint" with a unique signature profile. Nuclear magnetic resonance (NMR) spectroscopy and an array of mass spectrometry (MS) techniques provide selectivity and specificity for screening metabolites, but demand costly instrumentation, complex sample pretreatment, are labor-intensive, require well-trained technicians to operate the instrumentation, and are less amenable for implementation in clinics. The potential for vibration spectroscopy techniques to be brought to the bedside gives hope for huge cost savings and potential revolutionary advances in diagnostics in the clinic. We discuss the utilization of current vibrational spectroscopy methodologies on biologic samples as an avenue towards rapid cost saving diagnostics.
Collapse
Affiliation(s)
- Kevin V. Hackshaw
- Department of Internal Medicine, Division of Rheumatology, Dell Medical School, The University of Texas, 1601 Trinity St, Austin, TX 78712, USA
| | - Joseph S. Miller
- Department of Medicine, Ohio University Heritage College of Osteopathic Medicine, Dublin, OH 43016, USA;
| | - Didem P. Aykas
- Department of Food Science and Technology, Ohio State University, Columbus, OH 43210, USA; (D.P.A.); (L.R.-S.)
- Department of Food Engineering, Faculty of Engineering, Adnan Menderes University, Aydin 09100, Turkey
| | - Luis Rodriguez-Saona
- Department of Food Science and Technology, Ohio State University, Columbus, OH 43210, USA; (D.P.A.); (L.R.-S.)
| |
Collapse
|
36
|
Paschotto DR, Pupin B, Bhattacharjee TT, Soares LES. Saliva Preparation Method Exploration for ATR-FTIR Spectroscopy: Towards Bio-fluid Based Disease Diagnosis. ANAL SCI 2020; 36:1059-1064. [PMID: 32249246 DOI: 10.2116/analsci.20p029] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 03/25/2020] [Indexed: 08/09/2023]
Abstract
Saliva has garnered a lot of interest as a non-invasive, easy to collect, and biochemical rich sample for attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FTIR) based disease diagnosis. Although a large number of studies have explored its potential, the preparation methods used differ greatly. For large scale clinical studies to aid translation into clinics, the collection/processing methodology needs to be standardized. Therefore, in this study, we explored different saliva collection (spitting, method A/cotton soaking, method B) and processing protocols (unprepared, TS; supernatant from the centrifugation, CS; and drying, C) to find which gives the best ATR-FTIR signals. Analysis showed highest proteins, carbohydrates, amino acids, and nucleic acid + proteins/lipids in BTS, BCS, ACS, and BC, respectively. Notably, only BC shows a 1377 cm-1 nucleic acid band that is also uniquely identified in multivariate analysis. We conclude that the collection-processing protocol should be based on a biochemical component that best gives a differential diagnosis.
Collapse
Affiliation(s)
- Daniele Riêra Paschotto
- Laboratory of Dentistry and Applied Materials (LDAM), Research and Development Institute (IP & D), Universidade do Vale do Paraíba, São José dos Campos, São Paulo, Brazil
| | - Breno Pupin
- Laboratory of Molecular Biology, Research and Development Institute (IP & D), Universidade do Vale do Paraiba, São José dos Campos, São Paulo, Brazil
| | | | - Luís Eduardo Silva Soares
- Laboratory of Dentistry and Applied Materials (LDAM), Research and Development Institute (IP & D), Universidade do Vale do Paraíba, São José dos Campos, São Paulo, Brazil.
| |
Collapse
|
37
|
Zhan Q, Li Y, Yuan Y, Liu J, Li Y. The accuracy of Raman spectroscopy in the detection and diagnosis of oral cancer: A systematic review and meta‐analysis. JOURNAL OF RAMAN SPECTROSCOPY 2020. [DOI: 10.1002/jrs.5940] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Qi Zhan
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology Sichuan University Chengdu China
| | - Yuan Li
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology Sichuan University Chengdu China
| | - Yihang Yuan
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology Sichuan University Chengdu China
| | - Jinchi Liu
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology Sichuan University Chengdu China
| | - Yi Li
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology Sichuan University Chengdu China
| |
Collapse
|
38
|
Aral CA, Ölçer SN, Aral K, Kapila Y. Oxidative stress, neutrophil elastase and IGFBP7 levels in patients with oropharyngeal cancer and chronic periodontitis. Oral Dis 2020; 26:1393-1401. [PMID: 32333474 DOI: 10.1111/odi.13370] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2019] [Revised: 04/05/2020] [Accepted: 04/15/2020] [Indexed: 12/27/2022]
Abstract
OBJECTIVE The present study focused on investigating levels of oxidative stress, neutrophil elastase (NE), and insulin-like growth factor-binding protein 7 (IGFBP7) in oropharyngeal cancers (OC) with the presence and absence of periodontitis. MATERIALS AND METHODS A healthy non-periodontitis group (H-NP; n = 20), a systemically healthy chronic periodontitis group (H-P; n = 20), a non-periodontitis group with OC (OC-NP; n = 12), and a chronic periodontitis group with OC (OC-P; n = 16) formed the study groups. The levels of NE and IGFBP7 were measured in gingival crevicular fluid (GCF) and saliva. In addition, oxidative status was determined by evaluating total oxidant status (TOS), total antioxidant status (TAS), and OSI (TOS/TAS). RESULTS Gingival crevicular fluid NE was higher in all the groups compared with the H-NP group (p < .01). Salivary NE was higher in the OC-P and H-P groups compared with the H-NP and OC-NP groups (p < .05). Salivary IGFBP7 was significantly higher in the OC-NP and OC-P groups compared with the H-NP and H-P groups (p < .001). GCF TOS and OSI levels were significantly higher in all groups compared with the H-NP group (p < .05). CONCLUSIONS Gingival crevicular fluid NE levels were lower in healthy conditions compared with periodontal disease and OC. Salivary NE levels were higher in periodontal disease compared to states with no periodontal disease. Salivary IGFBP7 levels were higher in OC. Further analyses may help determine whether high salivary IGFBP7 levels distinguish OC from healthy conditions.
Collapse
Affiliation(s)
- Cüneyt Asım Aral
- Department of Periodontology, Faculty of Dentistry, Inonu University, Malatya, Turkey
| | | | - Kübra Aral
- Republic of Turkey, Ministry of Health, Istanbul, Turkey
| | - Yvonne Kapila
- Department of Orofacial Sciences, School of Dentistry, University of California San Francisco, San Francisco, CA, USA
| |
Collapse
|
39
|
Surface-enhanced Raman spectroscopy (SERS) investigations of saliva for oral cancer diagnosis. Lasers Med Sci 2020; 35:1393-1401. [PMID: 32170505 DOI: 10.1007/s10103-020-02988-2] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Accepted: 02/25/2020] [Indexed: 12/17/2022]
Abstract
Saliva could be an optimal sample for non-invasive cancer detection, as it contains plenty of proteins and metabolites which can reflect the health status of an individual. Moreover, pairing it with high-sensitivity, label-free detection techniques could prove successful for early cancer diagnosis. In this study, we explore the enhancement of salivary characteristic Raman bands by using label-free, ultrasensitive surface-enhanced Raman scattering (SERS) based on gold nanoparticles. SERS maps were acquired from dry samples of saliva supernatant mixed with Au colloidal nanoparticles, which was then pipetted on clean glass slides. The SERS spectra presented a high variability of signal intensities and frequency shifts. However, several reproducible SERS spectra showing well-resolved bands were obtained at certain locations on the maps, where Au nanoparticles clustered together during the air-drying. The healthy and oral cancer saliva could be differentiated using principal components analysis based on several SERS bands assigned mainly to amino acids and proteins. Moreover, thiocyanate Raman modes were detected in saliva samples of both smoking and non-smoking volunteers and cancer patients. The analysis indicated that the cancer group displayed an overall higher level of the 2126 cm-1 band area assigned to C-N stretching vibrations of thiocyanate.
Collapse
|
40
|
Falamas A, Faur CI, Baciut M, Rotaru H, Chirila M, Cinta Pinzaru S, Hedesiu M. Raman Spectroscopic Characterization of Saliva for the Discrimination of Oral Squamous Cell Carcinoma. ANAL LETT 2020. [DOI: 10.1080/00032719.2020.1719129] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Affiliation(s)
- A. Falamas
- Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, Cluj-Napoca, Romania
| | - C. I. Faur
- Department of Oral Radiology, Faculty of Dental Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - M. Baciut
- Department of Oral and Maxillofacial Surgery, “Iuliu-Hateganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - H. Rotaru
- Department of Oral and Maxillofacial Surgery, “Iuliu-Hateganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - M. Chirila
- Department of ENT Surgery, “Iuliu-Hateganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - S. Cinta Pinzaru
- Biomolecular Physics Department, Faculty of Physics, Babes-Bolyai University, Cluj-Napoca, Romania
| | - M. Hedesiu
- Department of Oral Radiology, Faculty of Dental Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania
| |
Collapse
|
41
|
Calado G, Behl I, Daniel A, Byrne HJ, Lyng FM. Raman spectroscopic analysis of saliva for the diagnosis of oral cancer: A systematic review. TRANSLATIONAL BIOPHOTONICS 2019. [DOI: 10.1002/tbio.201900001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Affiliation(s)
- Genecy Calado
- Radiation and Environmental Science CentreFOCAS Research Institute, Technological University Dublin, City Centre Campus Dublin Ireland
- School of Physics and Clinical and Optometric SciencesTechnological University Dublin, City Centre Campus Dublin Ireland
| | - Isha Behl
- Radiation and Environmental Science CentreFOCAS Research Institute, Technological University Dublin, City Centre Campus Dublin Ireland
- School of Physics and Clinical and Optometric SciencesTechnological University Dublin, City Centre Campus Dublin Ireland
| | - Amuthachelvi Daniel
- Radiation and Environmental Science CentreFOCAS Research Institute, Technological University Dublin, City Centre Campus Dublin Ireland
- School of Physics and Clinical and Optometric SciencesTechnological University Dublin, City Centre Campus Dublin Ireland
| | - Hugh J. Byrne
- FOCAS Research InstituteTechnological University Dublin, City Centre Campus Dublin Ireland
| | - Fiona M. Lyng
- Radiation and Environmental Science CentreFOCAS Research Institute, Technological University Dublin, City Centre Campus Dublin Ireland
- School of Physics and Clinical and Optometric SciencesTechnological University Dublin, City Centre Campus Dublin Ireland
| |
Collapse
|
42
|
The Effects of Low-Dose Irradiation on Human Saliva: A Surface-Enhanced Raman Spectroscopy Study. Diagnostics (Basel) 2019; 9:diagnostics9030101. [PMID: 31443529 PMCID: PMC6787699 DOI: 10.3390/diagnostics9030101] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 08/07/2019] [Accepted: 08/21/2019] [Indexed: 02/06/2023] Open
Abstract
Biological effects of low-dose ionizing radiation (IR) have been unclear until now. Saliva, because of the ease of collection, could be valuable in studying low-dose IR effects by means of surface-enhanced Raman spectroscopy (SERS). The objective of our study was to compare the salivary SER spectra recorded before and after low-dose IR exposure in the case of pediatric patients (PP). Unstimulated saliva was collected from ten PP before and after irradiation with a cone beam computed tomography (CBCT) machine used for diagnostic purposes. The SERS measurements have been recorded on dried saliva samples using a solid nanosilver plasmonic substrate synthesized using an original method developed in our laboratory. The experimental results showed that salivary SER spectra are dominated by three vibrational bands (441,735 and 2107 cm-1) that can be assigned to bending and stretching vibrations of salivary thiocyanate (SCN-). After exposure, an immediate increase of vibrational bands assigned to SCN- has been recorded in the case of all samples, probably as a result of IR interaction with oral cavity. This finding suggests that SCN- could be used as a valuable biomarker for the detection and identification of low-dose radiation effects.
Collapse
|
43
|
Sivashanmugan K, Squire K, Tan A, Zhao Y, Kraai JA, Rorrer GL, Wang AX. Trace Detection of Tetrahydrocannabinol in Body Fluid via Surface-Enhanced Raman Scattering and Principal Component Analysis. ACS Sens 2019; 4:1109-1117. [PMID: 30907578 DOI: 10.1021/acssensors.9b00476] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Tetrahydrocannabinol (THC) is the main active component in marijuana and the rapid detection of THC in human body fluid plays a critical role in forensic analysis and public health. Surface-enhanced Raman scattering (SERS) sensing has been increasingly used to detect illicit drugs; however, only limited SERS sensing results of THC in methanol solution have been reported, while its presence in body fluids, such as saliva or plasma, has yet to be investigated. In this article, we demonstrate the trace detection of THC in human plasma and saliva solution using a SERS-active substrate formed by in situ growth of silver nanoparticles (Ag NPs) on diatom frustules. THC at extremely low concentration of 1 pM in plasma and purified saliva solutions were adequately distinguished with good reproducibility. The SERS peak at 1603 cm-1 with standard deviation of 3.4 cm-1 was used for the evaluation of THC concentration in a methanol solution. Our SERS measurement also shows that this signature peak experiences a noticeable wavenumber shift and a slightly wider variation in the plasma and saliva solution. Additionally, we observed that THC in plasma or saliva samples produces a strong SERS peak at 1621 cm-1 due to the stretching mode of O-C═O, which is related to the metabolic change of THC structures in body fluid. To conduct a quantitative analysis, principal component analysis (PCA) was applied to analyze the SERS spectra of 1 pM THC in methanol solution, plasma, and purified saliva samples. The maximum variability of the first three principal components was achieved at 71%, which clearly denotes the impact of different biological background signals. Similarly, the SERS spectra of THC in raw saliva solution under various metabolic times were studied using PCA and 98% of the variability is accounted for in the first three principal components. The clear separation of samples measured at different THC resident times can provide time-dependent information on the THC metabolic process in body fluids. A linear regression model was used to estimate the metabolic rate of THC in raw saliva and the predicted metabolic time in the testing data set matched well with the training data set. In summary, the hybrid plasmonic-biosilica SERS substrate can achieve ultrasensitive, near-quantitative detection of trace levels of THC in complex body fluids, which can potentially transform forensic sensing techniques to detect marijuana abuse.
Collapse
|
44
|
Ghosh A, Raha S, Dey S, Chatterjee K, Roy Chowdhury A, Barui A. Chemometric analysis of integrated FTIR and Raman spectra obtained by non-invasive exfoliative cytology for the screening of oral cancer. Analyst 2019; 144:1309-1325. [DOI: 10.1039/c8an02092b] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
FTIR spectroscopy and Raman spectroscopy of biological analytes are increasingly explored as screening tools for early detection of cancer.
Collapse
Affiliation(s)
- Aritri Ghosh
- Centre for Healthcare Science and Technology
- Indian Institute of Engineering Science and Technology
- Howrah 711103
- India
| | - Sreyan Raha
- Department of Physics
- Bose Institute
- Kolkata-700009
- India
| | - Susmita Dey
- Centre for Healthcare Science and Technology
- Indian Institute of Engineering Science and Technology
- Howrah 711103
- India
| | - Kabita Chatterjee
- Department of Oral and Maxillofacial Pathology
- Buddha Institute of Dental Sciences
- Patna 800020
- India
| | - Amit Roy Chowdhury
- Department of Aerospace and Applied Mechanics
- Indian Institute of Engineering Science and Technology
- Howrah 711103
- India
| | - Ananya Barui
- Centre for Healthcare Science and Technology
- Indian Institute of Engineering Science and Technology
- Howrah 711103
- India
| |
Collapse
|
45
|
Švecová M, Ulbrich P, Dendisová M, Matějka P. SERS study of riboflavin on green-synthesized silver nanoparticles prepared by reduction using different flavonoids: What is the role of flavonoid used? SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2018; 195:236-245. [PMID: 29428644 DOI: 10.1016/j.saa.2018.01.083] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2017] [Revised: 01/24/2018] [Accepted: 01/31/2018] [Indexed: 06/08/2023]
Abstract
Spectroscopy of surface-enhanced Raman scattering (SERS) is nowadays widely used in the field of bio-science and medicine. These applications require new enhancing substrates with special properties. They should be non-toxic, environmentally friendly and (bio-) compatible with examined samples. Flavonoids are natural antioxidants with many positive effects on human health. Simultaneously, they can be used as reducing agent in preparation procedure of plasmonic enhancing substrate for SERS spectroscopy. The best amplifiers of Raman vibrational spectroscopic signal are generally silver nanoparticles (AgNPs). In this study, several flavonoids (forming a logical set) were used as reducing agent in AgNPs preparation procedures. Reactivity of 10 structurally arranged flavonoids (namely flavone, chrysin, apigenin, luteolin, tricetin, 3-hydroxyflavone, galangin, kaempferol, quercetin and myricetin) was compared and SERS-activity of prepared AgNPs was tested using model analyte riboflavin. Riboflavin was detected down to concentration 10-9mol/l.
Collapse
Affiliation(s)
- Marie Švecová
- Department of Analytical Chemistry, University of Chemistry and Technology Prague, Technická 5, Prague, Czech Republic.
| | - Pavel Ulbrich
- Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Technická 5, Prague, Czech Republic
| | - Marcela Dendisová
- Department of Physical Chemistry, University of Chemistry and Technology Prague, Technická 5, Prague, Czech Republic
| | - Pavel Matějka
- Department of Physical Chemistry, University of Chemistry and Technology Prague, Technická 5, Prague, Czech Republic
| |
Collapse
|
46
|
de Carvalho LFDCES, Saito Nogueira M. New insights of Raman spectroscopy for oral clinical applications. Analyst 2018; 143:6037-6048. [DOI: 10.1039/c8an01363b] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Oral injuries are currently diagnosed by histopathological analysis of biopsy, which is an invasive procedure and does not give immediate results.
Collapse
|
47
|
Yang H, Zhao C, Li R, Shen C, Cai X, Sun L, Luo C, Yin Y. Noninvasive and prospective diagnosis of coronary heart disease with urine using surface-enhanced Raman spectroscopy. Analyst 2018; 143:2235-2242. [DOI: 10.1039/c7an02022h] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
The SERS spectra of human urine could provide valuable information for the noninvasive and prospective diagnosis of patients with suspected CHD.
Collapse
Affiliation(s)
- Huinan Yang
- School of Energy and Power Engineering
- University of Shanghai for Science and Technology
- 200093 Shanghai
- China
| | - Chang Zhao
- School of Energy and Power Engineering
- University of Shanghai for Science and Technology
- 200093 Shanghai
- China
| | - Rong Li
- Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
- 200093 Shanghai
- China
| | - Chengxing Shen
- Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
- 200093 Shanghai
- China
| | - Xiaoshu Cai
- School of Energy and Power Engineering
- University of Shanghai for Science and Technology
- 200093 Shanghai
- China
| | - Li Sun
- School of Energy and Power Engineering
- University of Shanghai for Science and Technology
- 200093 Shanghai
- China
| | - Chengfang Luo
- School of Energy and Power Engineering
- University of Shanghai for Science and Technology
- 200093 Shanghai
- China
| | - Yuechao Yin
- School of Energy and Power Engineering
- University of Shanghai for Science and Technology
- 200093 Shanghai
- China
| |
Collapse
|
48
|
Shao L, Zhang A, Rong Z, Wang C, Jia X, Zhang K, Xiao R, Wang S. Fast and non-invasive serum detection technology based on surface-enhanced Raman spectroscopy and multivariate statistical analysis for liver disease. NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE 2017; 14:451-459. [PMID: 29197594 DOI: 10.1016/j.nano.2017.11.022] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Revised: 10/21/2017] [Accepted: 11/23/2017] [Indexed: 02/04/2023]
Abstract
This study explored a rapid and nondestructive liver disease detection technique based on surface-enhanced Raman spectroscopy (SERS) to realize the early diagnosis, prevention, and treatment of liver disease. SERS signals of serum were obtained from 304 normal individuals, 333 patients with hepatopathy, and 99 patients with esophageal cancer. The Raman spectra of different diseases were compared and diagnostic models of liver disease were established using orthogonal partial least squares discriminant analysis (OPLS-DA). The classification efficiencies of the different models were comprehensively evaluated through the receiver operating characteristic (ROC) curve and ten-fold cross validation. Area under the ROC curve is of greater than 0.97, indicating excellent classification of the groups. The accuracy rate of the test set reached 95.33%, and the lowest was 81.76% using the ten-fold cross validation. Thus, OPLS-DA combined with serum SERS is a rapid and non-invasive technique for the diagnosis of liver disease.
Collapse
Affiliation(s)
- Liting Shao
- Beijing Institute of Radiation Medicine, Beijing, PR China
| | - Aiying Zhang
- Beijing Institute of Hepatology, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - Zhen Rong
- Beijing Institute of Radiation Medicine, Beijing, PR China
| | - Chongwen Wang
- Beijing Institute of Radiation Medicine, Beijing, PR China
| | - Xiaofei Jia
- Beijing Institute of Radiation Medicine, Beijing, PR China
| | - Kehan Zhang
- Beijing Institute of Radiation Medicine, Beijing, PR China
| | - Rui Xiao
- Beijing Institute of Radiation Medicine, Beijing, PR China.
| | - Shengqi Wang
- Beijing Institute of Radiation Medicine, Beijing, PR China.
| |
Collapse
|
49
|
Chen N, Rong M, Shao X, Zhang H, Liu S, Dong B, Xue W, Wang T, Li T, Pan J. Surface-enhanced Raman spectroscopy of serum accurately detects prostate cancer in patients with prostate-specific antigen levels of 4-10 ng/mL. Int J Nanomedicine 2017; 12:5399-5407. [PMID: 28794631 PMCID: PMC5538684 DOI: 10.2147/ijn.s137756] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
The surface-enhanced Raman spectroscopy (SERS) of blood serum was investigated to differentiate between prostate cancer (PCa) and benign prostatic hyperplasia (BPH) in males with a prostate-specific antigen level of 4-10 ng/mL, so as to reduce unnecessary biopsies. A total of 240 SERS spectra from blood serum were acquired from 40 PCa subjects and 40 BPH subjects who had all received prostate biopsies and were given a pathological diagnosis. Multivariate statistical techniques, including principal component analysis (PCA) and linear discriminant analysis (LDA) diagnostic algorithms, were used to analyze the spectra data of serum from patients in control (CTR), PCa and BPH groups; results offered a sensitivity of 97.5%, a specificity of 100.0%, a precision of 100.0% and an accuracy of 99.2% for CTR; a sensitivity of 90.0%, a specificity of 97.5%, a precision of 94.7% and an accuracy of 98.3% for BPH; a sensitivity of 95.0%, a specificity of 93.8%, a precision of 88.4% and an accuracy of 94.2% for PCa. Similarly, this technique can significantly differentiate low- and high-risk PCa with an accuracy of 92.3%, a specificity of 95% and a sensitivity of 89.5%. The results suggest that analyzing blood serum using SERS combined with PCA-LDA diagnostic algorithms is a promising clinical tool for PCa diagnosis and assessment.
Collapse
Affiliation(s)
- Na Chen
- Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University
| | - Ming Rong
- Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University
| | - Xiaoguang Shao
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai
| | - Heng Zhang
- Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University
| | - Shupeng Liu
- Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University.,Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing, People's Republic of China
| | - Baijun Dong
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai
| | - Wei Xue
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai
| | - Tingyun Wang
- Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University
| | - Taihao Li
- Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing, People's Republic of China
| | - Jiahua Pan
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai
| |
Collapse
|
50
|
Tan Y, Yan B, Xue L, Li Y, Luo X, Ji P. Surface-enhanced Raman spectroscopy of blood serum based on gold nanoparticles for the diagnosis of the oral squamous cell carcinoma. Lipids Health Dis 2017; 16:73. [PMID: 28388900 PMCID: PMC5384146 DOI: 10.1186/s12944-017-0465-y] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Accepted: 03/30/2017] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Oral squamous cell carcinoma (OSCC) is becoming more common across the globe. The prognosis of OSCC is largely dependent on the early detection. But the routine oral cavity examination may delay the diagnosis because the early oral malignant lesions may be clinically indistinguishable from benign or inflammatory diseases. In this study, the new diagnostic method is developed by using the surface enhanced Raman spectroscopy (SERS) to detect the serum samples from the cancer patients. METHOD The blood serum samples were collected from the OSCC patients, MEC patients and the volunteers without OSCC or MEC. Gold nanoparticles(NPs) were then mixed in the serum samples to obtain the high quality SERS spectra. There were totally 135 spectra of OSCC, 90 spectra of mucoepidermoid carcinoma (MEC) and 145 spectra of normal control group, which were captured by SERS successfully. Compared with the normal control group, the Raman spectral differences exhibited in the spectra of OSCC and MEC groups, which were assigned to the nucleic acids, proteins and lipids. Based on these spectral differences and features, the algorithms of principal component analysis(PCA) and linear discriminant analysis (LDA) were employed to analyze and classify the Raman spectra of different groups. RESULTS Compared with the normal groups, the major increased peaks in the OSCC and MEC groups were assigned to the molecular structures of the nucleic acids and proteins. And these different major peaks between the OSCC and MEC groups were assigned to the special molecular structures of the carotenoids and lipids. The PCA-LDA results demonstrated that OSCC could be discriminated successfully from the normal control groups with a sensitivity of 80.7% and a specificity of 84.1%. The process of the cross validation proved the results analyzed by PCA-LDA were reliable. CONCLUSION The gold NPs were appropriate substances to capture the high-quality SERS spectra of the OSCC, MEC and normal serum samples. The results of this study confirm that SERS combined PCA-LDA had a giant capability to detect and diagnosis OSCC through the serum sample successfully.
Collapse
Affiliation(s)
- Yingyun Tan
- Stomatological Hospital of Chongqing Medical University, Chongqing, 400000 China
- Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences, Chongqing, 400000 China
- Chongqing Municipal Key Laboratory of Oral Biomedical Engineering of Higher Education, Chongqing, 400000 China
| | - Bing Yan
- Department of Otolarygology Head and Neck Surgery, the First Affiliated Hospital of Xiamen University, Xiamen, 361000 China
| | - Lili Xue
- Department of Stomatology, the First Affiliated Hospital of Xiamen University, Xiamen, 361000 China
| | - Yi Li
- Department of Head and Neck Oncology, the West China Hospital of Stomatology, Sichuan University, Chengdu, 610000 China
| | - Xianyang Luo
- Department of Otolarygology Head and Neck Surgery, the First Affiliated Hospital of Xiamen University, Xiamen, 361000 China
| | - Ping Ji
- Stomatological Hospital of Chongqing Medical University, Chongqing, 400000 China
- Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences, Chongqing, 400000 China
- Chongqing Municipal Key Laboratory of Oral Biomedical Engineering of Higher Education, Chongqing, 400000 China
| |
Collapse
|