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Mapping miRNA Research in Schizophrenia: A Scientometric Review

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...

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Autores principales: Lim, Mengyu, Carollo, Alessandro, Neoh, Michelle Jin Yee, Esposito, Gianluca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820708/
https://www.ncbi.nlm.nih.gov/pubmed/36613876
http://dx.doi.org/10.3390/ijms24010436
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author Lim, Mengyu
Carollo, Alessandro
Neoh, Michelle Jin Yee
Esposito, Gianluca
author_facet Lim, Mengyu
Carollo, Alessandro
Neoh, Michelle Jin Yee
Esposito, Gianluca
author_sort Lim, Mengyu
collection PubMed
description 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.
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spelling pubmed-98207082023-01-07 Mapping miRNA Research in Schizophrenia: A Scientometric Review Lim, Mengyu Carollo, Alessandro Neoh, Michelle Jin Yee Esposito, Gianluca Int J Mol Sci Review 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. MDPI 2022-12-27 /pmc/articles/PMC9820708/ /pubmed/36613876 http://dx.doi.org/10.3390/ijms24010436 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Lim, Mengyu
Carollo, Alessandro
Neoh, Michelle Jin Yee
Esposito, Gianluca
Mapping miRNA Research in Schizophrenia: A Scientometric Review
title Mapping miRNA Research in Schizophrenia: A Scientometric Review
title_full Mapping miRNA Research in Schizophrenia: A Scientometric Review
title_fullStr Mapping miRNA Research in Schizophrenia: A Scientometric Review
title_full_unstemmed Mapping miRNA Research in Schizophrenia: A Scientometric Review
title_short Mapping miRNA Research in Schizophrenia: A Scientometric Review
title_sort mapping mirna research in schizophrenia: a scientometric review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820708/
https://www.ncbi.nlm.nih.gov/pubmed/36613876
http://dx.doi.org/10.3390/ijms24010436
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