Circular RNA (circRNA) is a recently characterized species of RNA that is highly enriched in the human brain, differentially expressed in neuropsychiatric disorders, and readily detectable in the peripheral circulation. These characteristics make circRNA an attractive candidate biomarker for neuropsychiatric illness and suggest it as a potential missing link in the understanding of the specific biological underpinnings of neuropsychiatric illness. In this scoping review, the authors summarize the literature on circRNA in neuropsychiatric disorders and add clinical context. The authors searched PubMed, PsycInfo, Embase, the Cochrane Database of Systematic Reviews, and the Cochrane Central Register of Controlled Trials for articles describing research on circRNA and mental disorders published in or after 2012. The authors included peer-reviewed studies with substantive discussions of circRNA and mental disorders that included human participants or cell lines. Only studies written in English or with English translations were considered. Seventy-eight studies met the authors' inclusion criteria. Common and serious neuropsychiatric illnesses were well represented among these studies, including schizophrenia, major depressive disorder, and major neurocognitive disorder. Many studies identified altered circRNA levels in peripheral blood and specific brain regions that were both sensitive to and specific for neuropsychiatric disorders. Few studies discussed the role that circRNA-based diagnostic tests might play in clinical practice, and research on prognostic, therapeutic, or monitoring biomarkers was limited. Although circRNAs have the potential to change the understanding and treatment of neuropsychiatric disorders, the research field would benefit from more clinician involvement in this area to identify and address urgent clinical needs.

Compared with current methods used to assess schizophrenia, near-infrared spectroscopy (NIRS) has the advantages of providing noninvasive and real-time monitoring of functional activities of the brain and providing direct and objective assessment information.

To explore the research field of NIRS in schizophrenia from the perspective of bibliometrics.

The Web of Science Core Collection was used as the search tool, and the last search date was April 21, 2024. Bibliometric indicators, such as the numbers of publications and citations, were recorded. Bibliometrix and VOS viewer were used for visualization analysis.

A total of 355 articles from 105 journals were included in the analysis. The overall trend of the number of research publications increased. Schizophrenia Research was identified as an influential journal in the field. Kasai K was one of the most influential and productive authors in this area of research. The University of Tokyo and Japan had the highest scientific output for an institution and a country, respectively. The top ten keywords were "schizophrenia", "activation", "near-infrared spectroscopy", "verbal fluency task", "cortex", "brain, performance", "working-memory", "brain activation", and "prefrontal cortex".

Our study reveals the evolution of knowledge and emerging trends in the field of NIRS in schizophrenia. the research focus is shifting from underlying disease characteristics to more in-depth studies of brain function and physiological mechanisms.

Many studies have been conducted on the use of selective serotonin reuptake inhibitors (SSRIs) for the treatment of depression. However, the overall trends in research publications in this field remain elusive. There is still little quantitative analysis of the literature in this field. Therefore, we conducted a bibliometric analysis to explore the research patterns surrounding SSRIs for depression, aiming to gain a deeper understanding of their development and impact.

Publications about the use of SSRIs for the treatment of depression were identified in the Web of Science Core Collection. Visualization analysis was performed with Bibliometrix, VOSviewer, and CiteSpace.

A total of 1149 publications published from 1990 to 2024 were included in the bibliometric analysis. Since 1990, the annual number of published papers has increased annually, reaching the maximum value of output in 2004. Fitted curve showed that after 2004, the number of publications per year was essentially stable The United States dominates the field. Among these institutions, University of Pittsburgh excels in this field. Fava M has the highest scientific productivity and extensive academic influence. European Neuropsychopharmacology is the most active journal in this field. The three most relevant keywords were "fluoxetine", "double-blind", and "major depression". The trend topics in recent years were "connectivity", "c-reactive protein", and "anhedonia".

Research on the use of SSRIs for the treatment of depression continues to receive increased attention but still requiraes further exploration and innovation. We further analyze the current research hotspots and frontiers in this field.

Alzheimer's disease (AD), a neurodegenerative disorder characterized by progressive cognitive decline, is the most common form of dementia. Currently, there is no single test that can diagnose AD, especially in understudied populations and developing countries. Instead, diagnosis is based on a combination of medical history, physical examination, cognitive testing, and brain imaging. Exosomes are extracellular nanovesicles, primarily composed of RNA, that participate in physiological processes related to AD pathogenesis such as cell proliferation, immune response, and neuronal and cardiovascular function. However, the identification and understanding of the potential role of long non-coding RNAs (lncRNAs) in AD diagnosis remain largely unexplored. Here, we clinically, cognitively, and genetically characterized a sample of 15 individuals diagnosed with AD (cases) and 15 controls from Barranquilla, Colombia. Advanced bioinformatics, analytics and Machine Learning (ML) techniques were used to identify lncRNAs differentially expressed between cases and controls. The expression of 28,909 lncRNAs was quantified. Of these, 18 were found to be differentially expressed and harbored in pivotal genes related to AD. Two lncRNAs, ENST00000608936 and ENST00000433747, show promise as diagnostic markers for AD, with ML models achieving > 95% sensitivity, specificity, and accuracy in both the training and testing datasets. These findings suggest that the expression profiles of lncRNAs could significantly contribute to advancing personalized AD diagnosis in this community, offering promising avenues for early detection and follow-up.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive and behavioral decline. Acrolein, an environmental pollutant and endogenous compound, is implicated in AD development. This research employs bibliometric analysis to assess current trends and key areas concerning acrolein-AD interaction.

The Web of Science was used to extensively review literature on acrolein and AD. Relevant data were systematically gathered and analyzed using VOSviewer, CiteSpace, and an online bibliometric tool.

We identified 120 English publications in this specialized field across 19 journals. The Journal of Alzheimer's Disease was the most prominent. The primary contributors, both in terms of scientific output and influence, were the USA, the University of Kentucky, and Ramassamy C, representing countries/regions, institutions, and authors, respectively. In this field, the primary focus was on thoroughly studying acrolein, its roles, and its mechanisms in AD utilizing both in vivo and in vitro approaches. A significant portion of the research was based on proteomics, revealing complex molecular processes. The main focuses in the field were "oxidative stress," "lipid peroxidation," "amyloid-beta," and "cognitive impairment." Anticipated future research trajectories focus on the involvement of the internalization pathway, covering key areas such as synaptic dysfunction, metabolism, mechanisms, associations, neuroinflammation, inhibitors, tau phosphorylation, acrolein toxicity, brain infarction, antioxidants, chemistry, drug delivery, and dementia. Our analysis also supported our previous hypothesis that acrolein can interact with amyloid-beta to form a protein adduct leading to AD-like pathology and altering natural immune responses.

This study provides a broad and all-encompassing view of the topic, offering valuable insights and guidance to fellow researchers. These emerging directions underscore the continuous exploration of the complexities associated with AD. The analyses and findings aim to enhance our understanding of the intricate relationship between acrolein and AD for future research.

Osteoarthritis (OA) is a common disease in geriatric rehabilitation medicine caused by the progressive destruction of articular cartilage. Traditional Chinese exercise (TCE) is an important component of traditional sports in China and aims to stretch the musculoskeletal tract and relieve joint pain. Bibliometrics can help researchers find suitable partners and understand the research hotspots and trends in a certain field. However, there is still a lack of bibliometric analysis in the field of TCE and OA.

All the literature was obtained from the Web of Science Core Collection database. The last search was performed on July 28, 2023. The bibliometric indicators, such as publications, citations, and H-index, were recorded. Bibliometrix and CiteSpace were used for visualization analysis. In addition, randomized controlled trials were included to summarize the exercise prescription of TCE for OA.

A total of 170 articles were included. The field of OA with TCE had great development potential and was in the rising period. The countries, institutions, and authors with the most publications were the United States, Tufts Medical Center, and Harvey WF, respectively. The most popular journal was Osteoarthritis and Cartilage. The recent burst keywords in this field were mainly "hip", "pilot", and "risk". Tai Chi was the most studied TCE with the most detailed content of exercise prescription, followed by Baduanjin and Wuqinxi.

Our study provides a basis for researchers in this field to choose appropriate partner and academic journals. Moreover, pain, muscle strength, and quality of life management of elderly OA patients are research hotspots in this field. The intervention of hip OA risk through TCE is expected to become a research direction for emerging teams. The TCE prescription we summarized can better provide researchers with more treatment details.

Tau, a microtubule-associated protein extensively distributed within the central nervous system (CNS), exhibits close associations with various neurodegenerative disorders. Here, we aimed to conduct a qualitative and quantitative bibliometric study of the top 100 most-cited publications on tau protein and reveal the current research hotspots and future perspectives.

The relevant literature was retrieved from the Web of Science Core Collection. CiteSpace (v6.2.R4) and VOSviewer (1.6.19) were adopted for bibliometric analysis with statistical and visual analysis.

Citations per article ranged from 615 to 3,123, with a median number of 765.5 times. "Neuroscience" emerged as the most extensively researched subject in this field. The USA has emerged as the leading country, with a publication record (n = 65), total citations (n = 66,543), strong centrality (0.29), and extensive international collaborations. Harvard University (n = 11) and the University of California, San Francisco (n = 11) were the top two institutions in terms of publications. Neuron dominated with 13 articles in the 37 high-quality journals. M. Goedert from the MRC Laboratory of Molecular Biology was the most productive (n = 9) and top co-cited (n = 179) author. The most frequently studied keywords were Alzheimer's disease (n = 38). Future research is anticipated to intensify its focus on the pathogenesis of various tau-related diseases, emphasizing the phosphorylation and structural alterations of tau protein, particularly in Alzheimer's disease.

The pathogenesis of various tau-related diseases, including the phosphorylation and structural alterations of the tau protein, will be the primary focus of future research, with particular emphasis on Alzheimer's disease as a central area of investigation.

Chronic pain research, with a specific focus on the brain-derived neurotrophic factor (BDNF), has made impressive progress in the past decade, as evident in the improved research quality and increased publications. To better understand this evolving landscape, a quantitative approach is needed. The main aim of this study is to identify the hotspots and trends of BDNF in chronic pain research. We screened relevant publications from 2013 to 2022 in the Scopus database using specific search subject terms. A total of 401 documents were selected for further analysis. We utilized several tools, including Microsoft Excel, Harzing's Publish or Perish, and VOSViewer, to perform a frequency analysis, citation metrics, and visualization, respectively. Key indicators that were examined included publication growth, keyword analyses, topmost influential articles and journals, networking by countries and co-citation of cited references. Notably, there was a persistent publication growth between 2015 and 2021. "Neuropathic pain" emerged as a prominent keyword in 2018, alongside "microglia" and "depression". The journal Pain® was the most impactful journal that published BDNF and chronic pain research, while the most influential publications came from open-access reviews and original articles. China was the leading contributor, followed by the United States (US), and maintained a leadership position in the total number of publications and collaborations. In conclusion, this study provides a comprehensive list of the most influential publications on BDNF in chronic pain research, thereby aiding in the understanding of academic concerns, research hotspots, and global trends in this specialized field.

Sleep is an important biological process and has been linked to many diseases; however, very little is known about which and how genes control and regulate sleep. Although technology has seen significant development, this issue has still not been adequately resolved. Therefore, we conducted a bibliometric analysis to assess the progress in research on sleep quality and associated genes over the past 2 decades. Through our statistical data and discussions, we aimed to provide researchers with better research directions and ideas, thus promoting the advancement of this field.

On December 29, 2022, we utilized bibliometric techniques, such as co-cited and cluster analysis and keyword co-occurrence, using tools such as CiteSpace, VOSviewer, and the Online Analysis Platform of Literature Metrology (http://bibliometric.com/), to conduct a thorough examination of the relevant publications extracted from the Web of Science Core Collection (WoSCC). Our analysis aimed to identify the emerging trends and hot spots in this field while also predicting their potential development in future.

Cluster analysis of the co-cited literature revealed the most popular terms relating to sleep quality and associated genes in the manner of cluster labels; these included genome-wide association studies (GWAS), circadian rhythms, obstructive sleep apnea (OSA), DNA methylation, and depression. Keyword burst detection suggested that obstructive sleep apnea, circadian clock, circadian genes, and polygenic risk score were newly emergent research hot spots.

Based on this bibliometric analysis of the publications in the last 20 years, a comprehensive analysis of the literature clarified the contributions, changes in research hot spots, and evolution of research techniques regarding sleep quality and associated genes. This research can provide medical staff and researchers with revelations into future directions of the study on the pathological mechanisms of sleep-related diseases.

Trauma-related hemorrhagic shock is a global problem. This study aimed to analyze the knowledge domain and frontiers of trauma-related hemorrhagic shock research through a bibliometric analysis. Articles on trauma-related hemorrhagic shock published between 2012 and 2022 were retrieved from the Web of Science Core Collection, and a bibliometric analysis was conducted using CiteSpace and VOSviewer. A total of 3116 articles and reviews were analyzed. These publications primarily came from 441 institutions in 80 countries, with the USA having the highest number of publications, followed by China. Among the publications, Ernest E. Moore published the most papers, whereas John B. Holcomb had the most co-citations. The most productive institution was the University of Pittsburgh in the USA. The keyword burst and reference clustering analysis indicated that "reboa," "whole blood," "exsome," "glycocalyx," "endotheliopathy," and "predictor" are new trends and developing areas of interest. With the help of CiteSpace and VOSviewer, this study provides a deeper understanding of the research landscape, frontier hotspots, and future trends in trauma-related hemorrhagic shock over the last decade. "Whole blood" instead of "component therapy" shows potential advantage while "REBOA" is increasingly discussed in rapid hemostasis. This study provides important clues for researchers to understand the knowledge domain and frontiers of this study field.

Alzheimer's disease (AD) is a neurodegenerative disease characterized by progressive progress and memory loss, which eventually develops into dementia. It can cause personality disorders and decreased quality of life of patients. Currently, AD patients account for 60-70% of global dementia patients and the incidence rate of AD is increasing annually. AD not only causes pain to patients but also brings a heavy burden to the entire family. Studies have found that there is a connection between mitochondrial dysfunction and other biochemical changes in AD like classical neuropathological hallmarks (β-amyloid and tau protein), inflammation pathways, oxidative stress, and so on. Evidence shows that early treatment targeted directly to mitochondria could extend the lifespan of model mice and decrease the relevant neuropathological markers. Therefore, research on the mitochondrial dysfunction of AD can be of potential significance for clinical treatment. To date, few bibliometric analysis articles related to mitochondrial dysfunction of AD have been published. Bibliometric analysis refers to quantitatively analyzing certain aspects of articles like publishers, authors, and countries by using statistical and mathematical methods. Combined with statistical software, a large number of papers can be converted to visualization figures and tables, which provide vital information such as keyword hotspots and the names of contributing authors. Through the bibliometric analysis method, our study aimed to provide study trends and keyword hotpots for researchers to conduct further relevant research in this field.

We used the Web of Science core collection database as a literature retrieval tool to obtain data related to mitochondrial changes in Alzheimer's disease during the last 20 years. The retrieval type was [TS = (Alzheimer's disease)] ND [TS = (mitochondrion)], ranging from January 1, 2000 to June 30, 2022. VOSviewer v1.6.18, Arcgis 10.8, and HistCite pro 2.1 were used to conduct data visualization analysis. VOSviewer v1.6.18 made relevant network visualization maps of the cooperative relationship between relevant countries, institutions, and authors (co-authorship), the frequency of different keywords appearing together (co-occurrence), and the frequency of different articles cited together (co-cited). Arcgis 10.8 created the world map of publications distribution in this field and Histcite pro 2.1 was used to count the local citation score (LCS) of references. In addition, Journal Citation Reports were used to consult the latest journal import factor and JCI quartile.

As of June 30, 2022, from the Web of Science core collection, we selected 2,474 original articles in English, excluding the document types of the news items, meeting abstracts, and some articles that had little relevance to our theme. The United States acted as the leader and enjoyed a high reputation in this field. The University of California System was the institution that made the greatest contribution (3.64% with 90 papers). Most articles were published in the Journal of Alzheimer's Disease (8.21%, with 203 papers). The most frequently co-cited journal in Q1 was the Journal of Biological Chemistry (8,666 citations, TLS: 1039591). Russel H. Swerdlow (55 publications) was the most productive author and PH Reddy was the most co-cited author with 1,264 citations (TLS: 62971). The hotpots of mitochondrial dysfunction in AD were as follows: "oxidative stress," "amyloid-beta-protein," "tau," "apoptosis," "inflammation," "autophagy," "precursor protein," "endoplasmic-reticulum," "dynamics" and "mitochondrial unfolded protein response."

This bibliometric analysis research will help readers rapidly identify current hotpots and milestone studies related to directions of interest in AD research.