2 research outputs found

    Schizophrenia and apolipoprotein: a 10-year bibliometric analysis

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    Introduction: Schizophrenia is a chronic and complex mental disorder that significantly impacts one’s quality of life. The expansion of proteomic studies over the past decade offers a better understanding of the underlying pathophysiology of schizophrenia and the formulation of a protein targeted therapeutic approach. This study aimed to conduct a bibliometric analysis on the role of apolipoprotein as a biomarker in schizophrenia to provide a summary of its chronicle, present state and to identify potential future research directions. Materials and method: Publications on the association between schizophrenia and apolipoprotein were retrieved from the Scopus database using the search terms “schizophrenia” and “apolipoprotein”. Only original or review articles in English published between 2013 and 2023 were included. The bibliometric analysis was carried out using the R software packages Bibliometrix and Biblioshiny. Results: The filtered search identified 89 documents (80 original articles and 9 review articles) that generally showed an increasing trend with an annual growth rate of 10.31 percent. There were 580 authors that contributed to this field, with an average of eight to nine people co-authoring each paper. Altogether, 64 journals contributed to this field, with Neuropsychiatric Disease and Treatment, Frontiers in Psychiatry, and Translational Psychiatry being the three most productive. China leads in scientific production, followed by the Netherlands and the United States. In terms of country collaboration, the United Kingdom and Germany had the highest level of collaboration. The important keywords in the clusters were schizophrenia, biomarkers, proteomics, apolipoprotein E, antipsychotic drugs, bipolar disorder, and obesity. According to the thematic evolution analysis, apolipoprotein E has been frequently discussed and associated with schizophrenia and antipsychotic drugs. Conclusion: The association between schizophrenia and apolipoprotein has grown in significance over the past decade. Our findings highlight the potential role of apolipoprotein E in the establishment of schizophrenia and warrant further exploration

    Bibliometric insights into Schizophrenia and genetic variation

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    Introduction: Schizophrenia is a severe psychiatric disorder that is known for its complexity as well as involves genetic variation. The aim of this study was to explore the trend in the field of genetic variation-related research in schizophrenia from a bibliometric perspective. Materials and methods: Research articles on schizophrenia and genetic variation-related research were obtained from the Scopus database from its inception to October 20, 2023. The search strategy was set as the following using the search terms "Schizophrenia", "genetic variation", “snp” and “cnv”. Original articles, reviews, and proceedings were included in the analysis. Using filters, only English articles were selected and used for further analysis. R packages “Bibliometrix” and “Biblioshiny” were used to summarize the main findings, count the occurrences of the top keywords, visualize the collaboration network between countries, and generate a three-field plot. VOSviewer software was applied to conduct keyword co-occurrence analyses. Results: A total of 403 publications on schizophrenia and genetic variation were included. Publications were mainly from the USA, UK, and China. The highest number of publications was found in a list of relevant journals. Apart from “schizophrenia” and “genetic variation”, the terms “bipolar disorder,” “autism,” and “GWAS” were also the most frequently used keywords. Conclusions: Over the past 17 years, this bibliometric analysis has mapped out an important knowledge structure consisting of countries, institutions, authors, journals, and articles in the research field of schizophrenia and genetic variation. The findings provide not only a comprehensive perspective on the wider landscape of this research topic but also pave the way for potential precision medicine approaches, enabling more targeted therapeutic interventions based on individual genetic profiles
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