The schizophrenia and gut microbiota: A bibliometric and visual analysis

Abstract

BackgroundMany studies have explored the link between the gut microbiota and schizophrenia. To date, there have been no bibliometric analyses to summarize the association between the gut microbiota and schizophrenia. We aimed to conduct a bibliometric study of this association to determine the current status and areas for advancement in this field.Materials and methodsPublications related to the gut microbiota and schizophrenia were retrieved from the Web of Science Core Collection (WoSCC). The WoSCC literature analysis wire and VOSviewer 1.6.16 were used to conduct the analysis.ResultsIn total, 162 publications were included in our study. The publications generally showed an upward trend from 2014. A total of 873 authors from 355 organizations and 40 countries/regions contributed to this field. The leading authors were Timothy Dinan, John F Cryan, and Emily Severance. The leading institutions were Johns Hopkins University, the University College Cork, and the University of Toronto. The most productive countries were the United States (US), China, and Canada. In total, 95 journals contributed to this field. Among them, the top three productive journals were Schizophrenia Research, Progress in Neuro Psychopharmacology Biological Psychiatry, and Frontiers in Psychiatry. The important keywords in the clusters were gut microbiome, bipolar disorder, schizophrenia, antipsychotics, weight gain, metabolic syndrome, gut-brain axis, autism, depression, inflammation, and brain.ConclusionThe main research hotspots involving the connection between schizophrenia and the gut microbiota were the characteristics of the microbiota composition in schizophrenia patients, the gut-brain axis, and microbial-based interventions for schizophrenia. The studies about the association between gut microbiota and schizophrenia are limited, and more studies are needed to provide new insights into the gut microbiota in the pathogenesis and treatment of schizophrenia.

A 30-year bibliometric assessment and visualisation of emotion regulation research: applying network analysis and cluster analysis

“…The quantitative method of bibliometric analysis was strategically chosen for analysing scientific production in the field of emotion regulation. In recent times, bibliometric techniques have been widely adopted in various subfields of psychology as a means of assessing research performance, identifying research trends and themes, uncovering research hotspots and research gaps, as well as for tracing the structure, evolution and development of knowledge within the fields (Dong et al , 2022; Guo et al , 2022; Lin et al , 2022; Fei et al , 2022; Nie et al , 2022; Rong et al , 2022; Wu et al , 2022; Yang et al , 2022). With this viewpoint, this research aimed to explore the field of emotion regulation using bibliometric techniques, including performance measurement, science mapping and network analysis.…”

“…With almost 1.9 billion cited references and over 171 million records, the WoS database is globally recognized as the most reliable and comprehensive citation database, allowing users to track ideas across disciplines and time (Clarivate, 2022). This study preferred the WoS over Scopus because of the following reasons: A wide range of quality, high-impact scientific studies are hosted in WoS, making it a reliable and comprehensive resource for bibliometric analysis (Liu et al , 2018; Ekundayo and Okoh, 2018; Plusquellec and Denault, 2018; Nunen et al , 2017); Many scholars have earlier used WoS database specifically in various subfields of psychology for bibliometric analysis, for example, emotional intelligence (Dong et al , 2022); depression biomarker (Guo et al , 2022); cognitive behavioural therapy for cancer (Lin et al , 2022); delirium (Fei et al , 2022); epigenetic and childhood trauma (Nie et al , 2022); autism spectrum disorder (Rong et al , 2022); dyslexia (Wu et al , 2022); mindfulness and meditation (Wang et al , 2021); schizophrenia (Yang et al , 2022); alexithymia (Gaggero et al , 2020); and fMRI (Yeung, 2018). Thus, the WoS database is deemed more pertinent and selected as a data source for the bibliometric analysis in the field of emotion regulation. …”

“…The study quantitatively analysed and visualised the network of authors, institutions, nations and keywords related to autism spectrum disorder research. Similarly, Yang et al (2022) examined the literature related to gut microbiota and schizophrenia research through bibliometric analysis. This study analysed 162 publications indexed in the WoS Core Collection and found that the gut–brain axis and microbial-based therapies for schizophrenia are key research hotspots involving schizophrenia and the gut microbiota.…”

“…It allows us to disclose the evolutionary nuances of a particular discipline and identify research trends, hotspots and areas that require further exploration (Donthu et al , 2021). Recently, many scholars (Dong et al , 2022; Guo et al , 2022; Lin et al , 2022; Fei et al , 2022; Nie et al , 2022; Rong et al , 2022; Wu et al , 2022; Yang et al , 2022; Wang et al , 2021; Yeung, 2018) investigated various sub-disciplines of psychology through bibliometric techniques to assess research performance, uncover emerging research trends and themes, identify research gaps and trace the evolution and development of knowledge within the fields.…”

Redefining Autoimmune Disorders’ Pathoetiology: Implications for Mood and Psychotic Disorders’ Association with Neurodegenerative and Classical Autoimmune Disorders

“…Notably, as well as MDD, other psychiatric conditions, including bipolar disorder and schizophrenia, also show evidence of increased gut dysbiosis/permeability and circadian dysregulation [177,199], indicating pathophysiological overlaps with 'autoimmune'/'immunemediated' conditions. Interestingly, bipolar disorder, schizophrenia and MDD show changes in pathophysiological underpinnings over time, determined partly by the number of recurrent episodes and treatment, termed neuroprogression [200].…”