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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9820708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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