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Mapping miRNA Research in Schizophrenia: A Scientometric Review
Mengyu Lim1, Alessandro Carollo2, Michelle Jin Yee Neoh1
1Psychology Program, School of Social Sciences, Nanyang Technological University, Singapore 639818, Singapore.
Abstract:
Micro RNA (miRNA) research has great implications in uncovering the aetiology of neuropsychiatric conditions due to the role of miRNA in brain development and function. Schizophrenia, a complex yet devastating neuropsychiatric disorder, is one such condition that had been extensively studied in the realm of miRNA. Although a relatively new field of research, this area of study has progressed sufficiently to warrant dozens of reviews summarising findings from past to present. However, as a majority of reviews cannot encapsulate the full body of research, there is still a need to synthesise the diversity of publications made in this area in a systematic but easy-to-understand manner. Therefore, this study adopted bibliometrics and scientometrics, specifically document co-citation analysis (DCA), to review the literature on miRNAs in the context of schizophrenia over the course of history. From a literature search on Scopus, 992 papers were found and analysed with CiteSpace. DCA analysis generated a network of 13 major clusters with different thematic focuses within the subject area. Finally, these clusters are qualitatively discussed. miRNA research has branched into schizophrenia, among other medical and psychiatric conditions, due to previous findings in other forms of non-coding RNA. With the rise of big data, bioinformatics analyses are increasingly common in this field of research. The future of research is projected to rely more heavily on interdisciplinary collaboration. Additionally, it can be expected that there will be more translational studies focusing on the application of these findings to the development of effective treatments.
Insights
This bibliometric study maps the research landscape of micro RNA (miRNA) in schizophrenia, identifying 13 key research clusters. Future directions emphasize big data, bioinformatics, and interdisciplinary collaboration for treatment development.
Area of Science:
- Neuroscience
- Genetics
- Bioinformatics
Background:
- MicroRNAs (miRNAs) play crucial roles in brain development and function, implicating them in neuropsychiatric disorders.
- Schizophrenia research increasingly utilizes miRNA studies to understand its complex aetiology.
- Existing reviews often fail to capture the full scope of miRNA and schizophrenia research.
Purpose of the Study:
- To systematically review and synthesize the literature on microRNAs (miRNAs) in schizophrenia using bibliometric and scientometric methods.
- To identify major research clusters and historical trends in this field.
- To provide an easy-to-understand overview of the research landscape.
Main Methods:
- Bibliometrics and scientometrics, specifically document co-citation analysis (DCA).
- Literature search on Scopus yielding 992 papers.
- Analysis using CiteSpace software to generate a network of research clusters.
Main Results:
- Document co-citation analysis revealed 13 major thematic clusters within miRNA and schizophrenia research.
- The study visually represents the historical development and thematic distribution of publications.
- Qualitative discussion of each identified cluster provides thematic insights.
Conclusions:
- MicroRNA research has significantly expanded into schizophrenia studies, driven by prior non-coding RNA findings.
- The field is increasingly leveraging big data and bioinformatics.
- Future research will likely focus on interdisciplinary collaboration and translational studies for therapeutic development.
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