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For: Vignoli A, Ghini V, Meoni G, Licari C, Takis PG, Tenori L, Turano P, Luchinat C. High-Throughput Metabolomics by 1D NMR. Angew Chem Int Ed Engl. 2019;58:968-994. [PMID: 29999221 DOI: 10.1002/anie.201804736] [Cited by in Crossref: 101] [Cited by in F6Publishing: 82] [Article Influence: 33.7] [Reference Citation Analysis]
Number Citing Articles
1 Nannini G, Meoni G, Amedei A, Tenori L. Metabolomics profile in gastrointestinal cancers: Update and future perspectives. World J Gastroenterol 2020; 26(20): 2514-2532 [PMID: 32523308 DOI: 10.3748/wjg.v26.i20.2514] [Cited by in CrossRef: 8] [Cited by in F6Publishing: 7] [Article Influence: 8.0] [Reference Citation Analysis]
2 Jaimes JD, Slavíčková A, Hurych J, Cinek O, Nichols B, Vodolánová L, Černý K, Havlík J. Stool metabolome-microbiota evaluation among children and adolescents with obesity, overweight, and normal-weight using 1H NMR and 16S rRNA gene profiling. PLoS One 2021;16:e0247378. [PMID: 33765008 DOI: 10.1371/journal.pone.0247378] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 O'Shea K, Misra BB. Software tools, databases and resources in metabolomics: updates from 2018 to 2019. Metabolomics 2020;16:36. [PMID: 32146531 DOI: 10.1007/s11306-020-01657-3] [Cited by in Crossref: 29] [Cited by in F6Publishing: 22] [Article Influence: 29.0] [Reference Citation Analysis]
4 Newton JM, Betts EL, Yiangou L, Ortega Roldan J, Tsaousis AD, Thompson GS. Establishing a Metabolite Extraction Method to Study the Metabolome of Blastocystis Using NMR. Molecules 2021;26:3285. [PMID: 34072445 DOI: 10.3390/molecules26113285] [Reference Citation Analysis]
5 Spina R, Saliba S, Dupire F, Ptak A, Hehn A, Piutti S, Poinsignon S, Leclerc S, Bouguet-Bonnet S, Laurain-Mattar D. Molecular Identification of Endophytic Bacteria in Leucojum aestivum In Vitro Culture, NMR-Based Metabolomics Study and LC-MS Analysis Leading to Potential Amaryllidaceae Alkaloid Production. Int J Mol Sci 2021;22:1773. [PMID: 33578992 DOI: 10.3390/ijms22041773] [Reference Citation Analysis]
6 Basoglu A, Baspinar N, Tenori L, Licari C, Gulersoy E. Nuclear magnetic resonance (NMR)-based metabolome profile evaluation in dairy cows with and without displaced abomasum. Vet Q 2020;40:1-15. [PMID: 31858882 DOI: 10.1080/01652176.2019.1707907] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
7 Giraudeau P. NMR-based metabolomics and fluxomics: developments and future prospects. Analyst 2020;145:2457-72. [DOI: 10.1039/d0an00142b] [Cited by in Crossref: 20] [Cited by in F6Publishing: 7] [Article Influence: 20.0] [Reference Citation Analysis]
8 Ghini V, Senzacqua T, Massai L, Gamberi T, Messori L, Turano P. NMR reveals the metabolic changes induced by auranofin in A2780 cancer cells: evidence for glutathione dysregulation. Dalton Trans 2021;50:6349-55. [PMID: 33885689 DOI: 10.1039/d1dt00750e] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Perrin E, Ghini V, Giovannini M, Di Patti F, Cardazzo B, Carraro L, Fagorzi C, Turano P, Fani R, Fondi M. Diauxie and co-utilization of carbon sources can coexist during bacterial growth in nutritionally complex environments. Nat Commun 2020;11:3135. [PMID: 32561713 DOI: 10.1038/s41467-020-16872-8] [Cited by in Crossref: 15] [Cited by in F6Publishing: 10] [Article Influence: 15.0] [Reference Citation Analysis]
10 Alshamleh I, Krause N, Richter C, Kurrle N, Serve H, Günther UL, Schwalbe H. Real‐Time NMR Spectroscopy for Studying Metabolism. Angew Chem 2019;132:2324-8. [DOI: 10.1002/ange.201912919] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
11 Crook AA, Powers R. Quantitative NMR-Based Biomedical Metabolomics: Current Status and Applications. Molecules 2020;25:E5128. [PMID: 33158172 DOI: 10.3390/molecules25215128] [Cited by in Crossref: 13] [Cited by in F6Publishing: 10] [Article Influence: 13.0] [Reference Citation Analysis]
12 Zelentsova EA, Yanshole VV, Tsentalovich YP. A novel method of sample homogenization with the use of a microtome-cryostat apparatus. RSC Adv 2019;9:37809-17. [DOI: 10.1039/c9ra06808b] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
13 Licari C, Tenori L, Giusti B, Sticchi E, Kura A, De Cario R, Inzitari D, Piccardi B, Nesi M, Sarti C, Arba F, Palumbo V, Nencini P, Marcucci R, Gori AM, Luchinat C, Saccenti E. Analysis of Metabolite and Lipid Association Networks Reveals Molecular Mechanisms Associated with 3-Month Mortality and Poor Functional Outcomes in Patients with Acute Ischemic Stroke after Thrombolytic Treatment with Recombinant Tissue Plasminogen Activator. J Proteome Res 2021;20:4758-70. [PMID: 34473513 DOI: 10.1021/acs.jproteome.1c00406] [Reference Citation Analysis]
14 Maroli AS, Powers R. Closing the gap between in vivo and in vitro omics: using QA/QC to strengthen ex vivo NMR metabolomics. NMR in Biomedicine. [DOI: 10.1002/nbm.4594] [Reference Citation Analysis]
15 Stuart KA, Welsh K, Walker MC, Edrada-Ebel R. Metabolomic tools used in marine natural product drug discovery. Expert Opin Drug Discov 2020;15:499-522. [PMID: 32026730 DOI: 10.1080/17460441.2020.1722636] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 8.0] [Reference Citation Analysis]
16 Vignoli A, Risi E, McCartney A, Migliaccio I, Moretti E, Malorni L, Luchinat C, Biganzoli L, Tenori L. Precision Oncology via NMR-Based Metabolomics: A Review on Breast Cancer. Int J Mol Sci 2021;22:4687. [PMID: 33925233 DOI: 10.3390/ijms22094687] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
17 Balder Y, Vignoli A, Tenori L, Luchinat C, Saccenti E. Exploration of Blood Lipoprotein and Lipid Fraction Profiles in Healthy Subjects through Integrated Univariate, Multivariate, and Network Analysis Reveals Association of Lipase Activity and Cholesterol Esterification with Sex and Age. Metabolites 2021;11:326. [PMID: 34070169 DOI: 10.3390/metabo11050326] [Reference Citation Analysis]
18 McCartney A, Vignoli A, Tenori L, Fornier M, Rossi L, Risi E, Luchinat C, Biganzoli L, Di Leo A. Metabolomic analysis of serum may refine 21-gene expression assay risk recurrence stratification. NPJ Breast Cancer 2019;5:26. [PMID: 31482106 DOI: 10.1038/s41523-019-0123-9] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
19 Daliri EB, Ofosu FK, Chelliah R, Lee BH, Oh DH. Challenges and Perspective in Integrated Multi-Omics in Gut Microbiota Studies. Biomolecules 2021;11:300. [PMID: 33671370 DOI: 10.3390/biom11020300] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
20 Fondi M, Gonzi S, Dziurzynski M, Turano P, Ghini V, Calvanese M, Colarusso A, Lauro C, Parrilli E, Tutino ML. Modelling hCDKL5 Heterologous Expression in Bacteria. Metabolites 2021;11:491. [PMID: 34436432 DOI: 10.3390/metabo11080491] [Reference Citation Analysis]
21 Ghini V, Tenori L, Pane M, Amoruso A, Marroncini G, Squarzanti DF, Azzimonti B, Rolla R, Savoia P, Tarocchi M, Galli A, Luchinat C. Effects of Probiotics Administration on Human Metabolic Phenotype. Metabolites 2020;10:E396. [PMID: 33036487 DOI: 10.3390/metabo10100396] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
22 Klén R, Honka MJ, Hannukainen JC, Huovinen V, Bucci M, Latva-Rasku A, Venäläinen MS, Kalliokoski KK, Virtanen KA, Lautamäki R, Iozzo P, Elo LL, Nuutila P. Predicting Skeletal Muscle and Whole-Body Insulin Sensitivity Using NMR-Metabolomic Profiling. J Endocr Soc 2020;4:bvaa026. [PMID: 32232183 DOI: 10.1210/jendso/bvaa026] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
23 Ghini V, Laera L, Fantechi B, Monte FD, Benelli M, McCartney A, Leonardo T, Luchinat C, Pozzessere D. Metabolomics to Assess Response to Immune Checkpoint Inhibitors in Patients with Non-Small-Cell Lung Cancer. Cancers (Basel) 2020;12:E3574. [PMID: 33265926 DOI: 10.3390/cancers12123574] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 7.0] [Reference Citation Analysis]
24 Mulder FAA, Tenori L, Luchinat C. Fast and Quantitative NMR Metabolite Analysis Afforded by a Paramagnetic Co‐Solute. Angew Chem Int Ed 2019;58:15283-6. [DOI: 10.1002/anie.201908006] [Cited by in Crossref: 10] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
25 Baima G, Corana M, Iaderosa G, Romano F, Citterio F, Meoni G, Tenori L, Aimetti M. Metabolomics of gingival crevicular fluid to identify biomarkers for periodontitis: A systematic review with meta-analysis. J Periodontal Res 2021;56:633-45. [PMID: 33710624 DOI: 10.1111/jre.12872] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
26 Wang W, Han Z, Guo D, Xiang Y. UHPLC-QTOFMS-based metabolomic analysis of serum and urine in rats treated with musalais containing varying ethyl carbamate content. Anal Bioanal Chem 2020;412:7627-37. [PMID: 32897411 DOI: 10.1007/s00216-020-02900-5] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
27 Khakimov B, Mobaraki N, Trimigno A, Aru V, Engelsen SB. Signature Mapping (SigMa): An efficient approach for processing complex human urine 1H NMR metabolomics data. Analytica Chimica Acta 2020;1108:142-51. [DOI: 10.1016/j.aca.2020.02.025] [Cited by in Crossref: 17] [Cited by in F6Publishing: 13] [Article Influence: 17.0] [Reference Citation Analysis]
28 Madrid-Gambin F, Oller-Moreno S, Fernandez L, Bartova S, Giner MP, Joyce C, Ferraro F, Montoliu I, Moco S, Marco S. AlpsNMR: an R package for signal processing of fully untargeted NMR-based metabolomics. Bioinformatics 2020;36:2943-5. [PMID: 31930381 DOI: 10.1093/bioinformatics/btaa022] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 8.0] [Reference Citation Analysis]
29 Vignoli A, Tenori L, Giusti B, Takis PG, Valente S, Carrabba N, Balzi D, Barchielli A, Marchionni N, Gensini GF, Marcucci R, Luchinat C, Gori AM. NMR-based metabolomics identifies patients at high risk of death within two years after acute myocardial infarction in the AMI-Florence II cohort. BMC Med. 2019;17:3. [PMID: 30616610 DOI: 10.1186/s12916-018-1240-2] [Cited by in Crossref: 24] [Cited by in F6Publishing: 25] [Article Influence: 12.0] [Reference Citation Analysis]
30 Belmonte-Sánchez E, Romero-González R, Garrido Frenich A. Applicability of high-resolution NMR in combination with chemometrics for the compositional analysis and quality control of spices and plant-derived condiments. J Sci Food Agric 2021;101:3541-50. [PMID: 33368301 DOI: 10.1002/jsfa.11051] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
31 Blanco-Formoso M, Alvarez-Puebla RA. Cancer Diagnosis through SERS and Other Related Techniques. Int J Mol Sci 2020;21:E2253. [PMID: 32214017 DOI: 10.3390/ijms21062253] [Cited by in Crossref: 10] [Cited by in F6Publishing: 6] [Article Influence: 10.0] [Reference Citation Analysis]
32 Notararigo S, Martín-Pastor M, Viñuela-Roldán JE, Quiroga A, Dominguez-Munoz JE, Barreiro-de Acosta M. Targeted 1H NMR metabolomics and immunological phenotyping of human fresh blood and serum samples discriminate between healthy individuals and inflammatory bowel disease patients treated with anti-TNF. J Mol Med (Berl) 2021;99:1251-64. [PMID: 34021361 DOI: 10.1007/s00109-021-02094-y] [Reference Citation Analysis]
33 Rocca MS, Vignoli A, Tenori L, Ghezzi M, De Rocco Ponce M, Vatsellas G, Thanos D, Padrini R, Foresta C, De Toni L. Evaluation of Serum/Urine Genomic and Metabolomic Profiles to Improve the Adherence to Sildenafil Therapy in Patients with Erectile Dysfunction. Front Pharmacol 2020;11:602369. [PMID: 33536912 DOI: 10.3389/fphar.2020.602369] [Reference Citation Analysis]
34 Alshamleh I, Krause N, Richter C, Kurrle N, Serve H, Günther UL, Schwalbe H. Real-Time NMR Spectroscopy for Studying Metabolism. Angew Chem Int Ed Engl 2020;59:2304-8. [PMID: 31730253 DOI: 10.1002/anie.201912919] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 4.5] [Reference Citation Analysis]
35 Di Donato S, Vignoli A, Biagioni C, Malorni L, Mori E, Tenori L, Calamai V, Parnofiello A, Di Pierro G, Migliaccio I, Cantafio S, Baraghini M, Mottino G, Becheri D, Del Monte F, Miceli E, McCartney A, Di Leo A, Luchinat C, Biganzoli L. A Serum Metabolomics Classifier Derived from Elderly Patients with Metastatic Colorectal Cancer Predicts Relapse in the Adjuvant Setting. Cancers (Basel) 2021;13:2762. [PMID: 34199435 DOI: 10.3390/cancers13112762] [Reference Citation Analysis]
36 Takis PG, Jiménez B, Al-Saffar NMS, Harvey N, Chekmeneva E, Misra S, Lewis MR. A Computationally Lightweight Algorithm for Deriving Reliable Metabolite Panel Measurements from 1D 1H NMR. Anal Chem 2021;93:4995-5000. [PMID: 33733737 DOI: 10.1021/acs.analchem.1c00113] [Reference Citation Analysis]
37 Vignoli A, Tenori L, Luchinat C, Saccenti E. Differential Network Analysis Reveals Molecular Determinants Associated with Blood Pressure and Heart Rate in Healthy Subjects. J Proteome Res 2021;20:1040-51. [PMID: 33274633 DOI: 10.1021/acs.jproteome.0c00882] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
38 Vignoli A, Santini G, Tenori L, Macis G, Mores N, Macagno F, Pagano F, Higenbottam T, Luchinat C, Montuschi P. NMR-Based Metabolomics for the Assessment of Inhaled Pharmacotherapy in Chronic Obstructive Pulmonary Disease Patients. J Proteome Res 2020;19:64-74. [PMID: 31621329 DOI: 10.1021/acs.jproteome.9b00345] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
39 Michálková L, Horník Š, Sýkora J, Habartová L, Setnička V, Bunganič B. Early Detection of Pancreatic Cancer in Type 2 Diabetes Mellitus Patients Based on 1H NMR Metabolomics. J Proteome Res 2021;20:1744-53. [PMID: 33617266 DOI: 10.1021/acs.jproteome.0c00990] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
40 Khattri RB, Kim K, Thome T, Salyers ZR, O'Malley KA, Berceli SA, Scali ST, Ryan TE. Unique Metabolomic Profile of Skeletal Muscle in Chronic Limb Threatening Ischemia. J Clin Med 2021;10:548. [PMID: 33540726 DOI: 10.3390/jcm10030548] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
41 Snyder DA. Covariance NMR: Theoretical concerns, practical considerations, contemporary applications and related techniques. Prog Nucl Magn Reson Spectrosc 2021;122:1-10. [PMID: 33632414 DOI: 10.1016/j.pnmrs.2020.09.001] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
42 D'Alessandro G, Quaglio D, Monaco L, Lauro C, Ghirga F, Ingallina C, De Martino M, Fucile S, Porzia A, Di Castro MA, Bellato F, Mastrotto F, Mori M, Infante P, Turano P, Salmaso S, Caliceti P, Di Marcotullio L, Botta B, Ghini V, Limatola C. 1H-NMR metabolomics reveals the Glabrescione B exacerbation of glycolytic metabolism beside the cell growth inhibitory effect in glioma. Cell Commun Signal 2019;17:108. [PMID: 31455353 DOI: 10.1186/s12964-019-0421-8] [Cited by in Crossref: 17] [Cited by in F6Publishing: 13] [Article Influence: 8.5] [Reference Citation Analysis]
43 Wang YN, Ma SX, Chen YY, Chen L, Liu BL, Liu QQ, Zhao YY. Chronic kidney disease: Biomarker diagnosis to therapeutic targets. Clin Chim Acta 2019;499:54-63. [PMID: 31476302 DOI: 10.1016/j.cca.2019.08.030] [Cited by in Crossref: 12] [Cited by in F6Publishing: 10] [Article Influence: 6.0] [Reference Citation Analysis]
44 Vignoli A, Tenori L, Giusti B, Valente S, Carrabba N, Balzi D, Barchielli A, Marchionni N, Gensini GF, Marcucci R, Gori AM, Luchinat C, Saccenti E. Differential Network Analysis Reveals Metabolic Determinants Associated with Mortality in Acute Myocardial Infarction Patients and Suggests Potential Mechanisms Underlying Different Clinical Scores Used To Predict Death. J Proteome Res 2020;19:949-61. [PMID: 31899863 DOI: 10.1021/acs.jproteome.9b00779] [Cited by in Crossref: 14] [Cited by in F6Publishing: 12] [Article Influence: 14.0] [Reference Citation Analysis]
45 Bendinelli B, Vignoli A, Palli D, Assedi M, Ambrogetti D, Luchinat C, Caini S, Saieva C, Turano P, Masala G. Prediagnostic circulating metabolites in female breast cancer cases with low and high mammographic breast density. Sci Rep 2021;11:13025. [PMID: 34158597 DOI: 10.1038/s41598-021-92508-1] [Reference Citation Analysis]
46 Costa Dos Santos Junior G, Pereira CM, Kelly da Silva Fidalgo T, Valente AP. Saliva NMR-Based Metabolomics in the War Against COVID-19. Anal Chem 2020;92:15688-92. [PMID: 33215503 DOI: 10.1021/acs.analchem.0c04679] [Cited by in Crossref: 10] [Cited by in F6Publishing: 6] [Article Influence: 10.0] [Reference Citation Analysis]
47 Viswan A, Singh C, Kayastha AM, Azim A, Sinha N. An NMR based panorama of the heterogeneous biology of acute respiratory distress syndrome (ARDS) from the standpoint of metabolic biomarkers. NMR Biomed 2020;33:e4192. [PMID: 31733128 DOI: 10.1002/nbm.4192] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]
48 Lee S, Ku JY, Kang BJ, Kim KH, Ha HK, Kim S. A Unique Urinary Metabolic Feature for the Determination of Bladder Cancer, Prostate Cancer, and Renal Cell Carcinoma. Metabolites 2021;11:591. [PMID: 34564407 DOI: 10.3390/metabo11090591] [Reference Citation Analysis]
49 Meoni G, Tenori L, Luchinat C. Nuclear Magnetic Resonance-Based Metabolomic Comparison of Breast Milk and Organic and Traditional Formula Milk Brands for Infants and Toddlers. OMICS 2020;24:424-36. [PMID: 32522087 DOI: 10.1089/omi.2019.0125] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
50 Peters K, Bradbury J, Bergmann S, Capuccini M, Cascante M, de Atauri P, Ebbels TMD, Foguet C, Glen R, Gonzalez-Beltran A, Günther UL, Handakas E, Hankemeier T, Haug K, Herman S, Holub P, Izzo M, Jacob D, Johnson D, Jourdan F, Kale N, Karaman I, Khalili B, Emami Khonsari P, Kultima K, Lampa S, Larsson A, Ludwig C, Moreno P, Neumann S, Novella JA, O'Donovan C, Pearce JTM, Peluso A, Piras ME, Pireddu L, Reed MAC, Rocca-Serra P, Roger P, Rosato A, Rueedi R, Ruttkies C, Sadawi N, Salek RM, Sansone SA, Selivanov V, Spjuth O, Schober D, Thévenot EA, Tomasoni M, van Rijswijk M, van Vliet M, Viant MR, Weber RJM, Zanetti G, Steinbeck C. PhenoMeNal: processing and analysis of metabolomics data in the cloud. Gigascience 2019;8:giy149. [PMID: 30535405 DOI: 10.1093/gigascience/giy149] [Cited by in Crossref: 33] [Cited by in F6Publishing: 23] [Article Influence: 16.5] [Reference Citation Analysis]
51 Letertre MPM, Giraudeau P, de Tullio P. Nuclear Magnetic Resonance Spectroscopy in Clinical Metabolomics and Personalized Medicine: Current Challenges and Perspectives. Front Mol Biosci 2021;8:698337. [PMID: 34616770 DOI: 10.3389/fmolb.2021.698337] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
52 Vignoli A, Ghini V, Meoni G, Licari C, Takis PG, Tenori L, Turano P, Luchinat C. High-Throughput Metabolomics by 1D NMR. Angew Chem Int Ed Engl. 2019;58:968-994. [PMID: 29999221 DOI: 10.1002/anie.201804736] [Cited by in Crossref: 101] [Cited by in F6Publishing: 82] [Article Influence: 33.7] [Reference Citation Analysis]
53 Derveaux E, Thomeer M, Mesotten L, Reekmans G, Adriaensens P. Detection of Lung Cancer via Blood Plasma and 1H-NMR Metabolomics: Validation by a Semi-Targeted and Quantitative Approach Using a Protein-Binding Competitor. Metabolites 2021;11:537. [PMID: 34436478 DOI: 10.3390/metabo11080537] [Reference Citation Analysis]
54 Xiao L, Wang C, Dai C, Littlepage LE, Li J, Schultz ZD. Untargeted Tumor Metabolomics with Liquid Chromatography-Surface-Enhanced Raman Spectroscopy. Angew Chem Int Ed Engl 2020;59:3439-43. [PMID: 31765069 DOI: 10.1002/anie.201912387] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
55 Jahagirdar S, Saccenti E. On the Use of Correlation and MI as a Measure of Metabolite-Metabolite Association for Network Differential Connectivity Analysis. Metabolites 2020;10:E171. [PMID: 32344593 DOI: 10.3390/metabo10040171] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 8.0] [Reference Citation Analysis]
56 Sun S, Liu W, Yang J, Wang H, Qian K. Nanoparticle‐Assisted Cation Adduction and Fragmentation of Small Metabolites. Angew Chem Int Ed 2021;60:11310-7. [DOI: 10.1002/anie.202100734] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
57 Ghini V, Quaglio D, Luchinat C, Turano P. NMR for sample quality assessment in metabolomics. N Biotechnol. 2019;52:25-34. [PMID: 31022482 DOI: 10.1016/j.nbt.2019.04.004] [Cited by in Crossref: 28] [Cited by in F6Publishing: 22] [Article Influence: 14.0] [Reference Citation Analysis]
58 Balcerczyk A, Damblon C, Elena-Herrmann B, Panthu B, Rautureau GJP. Metabolomic Approaches to Study Chemical Exposure-Related Metabolism Alterations in Mammalian Cell Cultures. Int J Mol Sci 2020;21:E6843. [PMID: 32961865 DOI: 10.3390/ijms21186843] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
59 Antonaros F, Ghini V, Pulina F, Ramacieri G, Cicchini E, Mannini E, Martelli A, Feliciello A, Lanfranchi S, Onnivello S, Vianello R, Locatelli C, Cocchi G, Pelleri MC, Vitale L, Strippoli P, Luchinat C, Turano P, Piovesan A, Caracausi M. Plasma metabolome and cognitive skills in Down syndrome. Sci Rep 2020;10:10491. [PMID: 32591596 DOI: 10.1038/s41598-020-67195-z] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 7.0] [Reference Citation Analysis]
60 Yilmaz A, Ugur Z, Bisgin H, Akyol S, Bahado-Singh R, Wilson G, Imam K, Maddens ME, Graham SF. Targeted Metabolic Profiling of Urine Highlights a Potential Biomarker Panel for the Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment: A Pilot Study. Metabolites 2020;10:E357. [PMID: 32878308 DOI: 10.3390/metabo10090357] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
61 Nannini G, Meoni G, Tenori L, Ringressi MN, Taddei A, Niccolai E, Baldi S, Russo E, Luchinat C, Amedei A. Fecal metabolomic profiles: A comparative study of patients with colorectal cancer vs adenomatous polyps. World J Gastroenterol 2021; 27(38): 6430-6441 [PMID: 34720532 DOI: 10.3748/wjg.v27.i38.6430] [Reference Citation Analysis]
62 Ghini V, Tenori L, Capozzi F, Luchinat C, Bub A, Malpuech-Brugere C, Orfila C, Ricciardiello L, Bordoni A. DHA-Induced Perturbation of Human Serum Metabolome. Role of the Food Matrix and Co-Administration of Oat β-glucan and Anthocyanins. Nutrients 2019;12:E86. [PMID: 31892215 DOI: 10.3390/nu12010086] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
63 Bischof G, Witte F, Terjung N, Januschewski E, Heinz V, Juadjur A, Gibis M. Analysis of aging type- and aging time-related changes in the polar fraction of metabolome of beef by 1H NMR spectroscopy. Food Chem 2021;342:128353. [PMID: 33092915 DOI: 10.1016/j.foodchem.2020.128353] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
64 Bruguière A, Derbré S, Dietsch J, Leguy J, Rahier V, Pottier Q, Bréard D, Suor-cherer S, Viault G, Le Ray A, Saubion F, Richomme P. MixONat, a Software for the Dereplication of Mixtures Based on 13 C NMR Spectroscopy. Anal Chem 2020;92:8793-801. [DOI: 10.1021/acs.analchem.0c00193] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 8.0] [Reference Citation Analysis]
65 Wang Z, Pisano S, Ghini V, Kadeřávek P, Zachrdla M, Pelupessy P, Kazmierczak M, Marquardsen T, Tyburn JM, Bouvignies G, Parigi G, Luchinat C, Ferrage F. Detection of Metabolite-Protein Interactions in Complex Biological Samples by High-Resolution Relaxometry: Toward Interactomics by NMR. J Am Chem Soc 2021. [PMID: 34133154 DOI: 10.1021/jacs.1c01388] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
66 Ali S, Badshah G, Da Ros Montes D'Oca C, Ramos Campos F, Nagata N, Khan A, de Fátima Costa Santos M, Barison A. High-Resolution Magic Angle Spinning (HR-MAS) NMR-Based Fingerprints Determination in the Medicinal Plant Berberis laurina. Molecules 2020;25:E3647. [PMID: 32796509 DOI: 10.3390/molecules25163647] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
67 Meoni G, Lorini S, Monti M, Madia F, Corti G, Luchinat C, Zignego AL, Tenori L, Gragnani L. The metabolic fingerprints of HCV and HBV infections studied by Nuclear Magnetic Resonance Spectroscopy. Sci Rep. 2019;9:4128. [PMID: 30858406 DOI: 10.1038/s41598-019-40028-4] [Cited by in Crossref: 15] [Cited by in F6Publishing: 14] [Article Influence: 7.5] [Reference Citation Analysis]
68 Bernacchioni C, Ghini V, Squecco R, Idrizaj E, Garella R, Puliti E, Cencetti F, Bruni P, Donati C. Role of Sphingosine 1-Phosphate Signalling Axis in Muscle Atrophy Induced by TNFα in C2C12 Myotubes. Int J Mol Sci 2021;22:1280. [PMID: 33525436 DOI: 10.3390/ijms22031280] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
69 Meoni G, Ghini V, Maggi L, Vignoli A, Mazzoni A, Salvati L, Capone M, Vanni A, Tenori L, Fontanari P, Lavorini F, Peris A, Bartoloni A, Liotta F, Cosmi L, Luchinat C, Annunziato F, Turano P. Metabolomic/lipidomic profiling of COVID-19 and individual response to tocilizumab. PLoS Pathog 2021;17:e1009243. [PMID: 33524041 DOI: 10.1371/journal.ppat.1009243] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 9.0] [Reference Citation Analysis]
70 Vignoli A, Orlandini B, Tenori L, Biagini MR, Milani S, Renzi D, Luchinat C, Calabrò AS. Metabolic Signature of Primary Biliary Cholangitis and Its Comparison with Celiac Disease. J Proteome Res 2019;18:1228-36. [PMID: 30539636 DOI: 10.1021/acs.jproteome.8b00849] [Cited by in Crossref: 13] [Cited by in F6Publishing: 12] [Article Influence: 6.5] [Reference Citation Analysis]
71 Reisinger AC, Posch F, Hackl G, Marsche G, Sourij H, Bourgeois B, Eller K, Madl T, Eller P. Branched-Chain Amino Acids Can Predict Mortality in ICU Sepsis Patients. Nutrients 2021;13:3106. [PMID: 34578983 DOI: 10.3390/nu13093106] [Reference Citation Analysis]
72 Streese L, Springer AM, Deiseroth A, Carrard J, Infanger D, Schmaderer C, Schmidt-Trucksäss A, Madl T, Hanssen H. Metabolic profiling links cardiovascular risk and vascular end organ damage. Atherosclerosis 2021:S0021-9150(21)01234-X. [PMID: 34344526 DOI: 10.1016/j.atherosclerosis.2021.07.005] [Reference Citation Analysis]
73 Cheung PK, Ma MH, Tse HF, Yeung KF, Tsang HF, Chu MKM, Kan CM, Cho WCS, Ng LBW, Chan LWC, Wong SCC. The applications of metabolomics in the molecular diagnostics of cancer. Expert Review of Molecular Diagnostics 2019;19:785-93. [DOI: 10.1080/14737159.2019.1656530] [Cited by in Crossref: 15] [Cited by in F6Publishing: 16] [Article Influence: 7.5] [Reference Citation Analysis]
74 Chetwynd AJ, Lynch I. The rise of the nanomaterial metabolite corona, and emergence of the complete corona. Environ Sci : Nano 2020;7:1041-60. [DOI: 10.1039/c9en00938h] [Cited by in Crossref: 12] [Article Influence: 12.0] [Reference Citation Analysis]
75 Vignoli A, Paciotti S, Tenori L, Eusebi P, Biscetti L, Chiasserini D, Scheltens P, Turano P, Teunissen C, Luchinat C, Parnetti L. Fingerprinting Alzheimer's Disease by 1H Nuclear Magnetic Resonance Spectroscopy of Cerebrospinal Fluid. J Proteome Res 2020;19:1696-705. [PMID: 32118444 DOI: 10.1021/acs.jproteome.9b00850] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 9.0] [Reference Citation Analysis]
76 Zhang F, Kerbl-Knapp J, Akhmetshina A, Korbelius M, Kuentzel KB, Vujić N, Hörl G, Paar M, Kratky D, Steyrer E, Madl T. Tissue-Specific Landscape of Metabolic Dysregulation during Ageing. Biomolecules 2021;11:235. [PMID: 33562384 DOI: 10.3390/biom11020235] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
77 Li S, Tian Y, Jiang P, Lin Y, Liu X, Yang H. Recent advances in the application of metabolomics for food safety control and food quality analyses. Crit Rev Food Sci Nutr 2021;61:1448-69. [PMID: 32441547 DOI: 10.1080/10408398.2020.1761287] [Cited by in Crossref: 14] [Cited by in F6Publishing: 9] [Article Influence: 14.0] [Reference Citation Analysis]
78 Pedersen S, Hansen JB, Maltesen RG, Szejniuk WM, Andreassen T, Falkmer U, Kristensen SR. Identifying metabolic alterations in newly diagnosed small cell lung cancer patients. Metabol Open 2021;12:100127. [PMID: 34585134 DOI: 10.1016/j.metop.2021.100127] [Reference Citation Analysis]
79 Vignoli A, Muraro E, Miolo G, Tenori L, Turano P, Di Gregorio E, Steffan A, Luchinat C, Corona G. Effect of Estrogen Receptor Status on Circulatory Immune and Metabolomics Profiles of HER2-Positive Breast Cancer Patients Enrolled for Neoadjuvant Targeted Chemotherapy. Cancers (Basel) 2020;12:E314. [PMID: 32013102 DOI: 10.3390/cancers12020314] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 9.0] [Reference Citation Analysis]
80 Takis PG, Jiménez B, Sands CJ, Chekmeneva E, Lewis MR. SMolESY: an efficient and quantitative alternative to on-instrument macromolecular 1H-NMR signal suppression. Chem Sci 2020;11:6000-11. [PMID: 34094091 DOI: 10.1039/d0sc01421d] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
81 Elpa DP, Chiu HY, Wu SP, Urban PL. Skin Metabolomics. Trends Endocrinol Metab 2021;32:66-75. [PMID: 33353809 DOI: 10.1016/j.tem.2020.11.009] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 6.0] [Reference Citation Analysis]