0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Changes in the intestinal microbiota of individuals with non-alcoholic fatty liver disease based on sequencing: An updated systematic review and meta-analysis

      research-article
      , , * , , * ,
      PLOS ONE
      Public Library of Science

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Alterations in the composition and abundance of the intestinal microbiota occur in non-alcoholic fatty liver disease (NAFLD). However, the results are inconsistent because of differences in the study design, subject area, and sequencing methodology. In this study, we compared the diversity and abundance of the intestinal microbiota of patients with NAFLD and healthy individuals through a systematic review and meta-analysis.

          Methods

          Three databases (PubMed, EMBASE, and Cochrane Library) were searched from their inception to March 20, 2023. A meta-analysis was performed using Stata software to analyze variations in the richness and abundance of the intestinal microbiota in patients with NAFLD. The Newcastle-Ottawa Quality Assessment Scale (NOS) was used for quality assessment.

          Results

          A total of 28 articles were included. Shannon diversity was reduced in patients with NAFLD (SMD = -0.24 (95% CI -0.43–0.05, I 2 = 71.7%). The relative abundance of Ruminococcus, Faecalibacterium, and Coprococcus all decreased, with total SMDs of -0.96 (95% CI -1.29 to -0.63, I 2 = 4.8%), -1.13 (95% CI -2.07 to -0.19, I 2 = 80.5%), and -1.66 (95% CI -3.04 to -0.28, I 2 = 91.5%). Escherichia was increased in individuals with NAFLD (SMD = 1.78, 95% CI 0.12 to 3.45, I 2 = 94.4%).

          Conclusion

          Increasing the species diversity and altering the abundance of specific gut microbiota, including Coprococcus, Faecalibacterium, Ruminococcus, and Escherichia, may be beneficial for improving NAFLD.

          Related collections

          Most cited references44

          • Record: found
          • Abstract: not found
          • Article: not found

          Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses.

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Operating Characteristics of a Rank Correlation Test for Publication Bias

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Characterization of gut microbiomes in nonalcoholic steatohepatitis (NASH) patients: a connection between endogenous alcohol and NASH.

              Nonalcoholic steatohepatitis (NASH) is a serious liver disease associated with obesity. Characterized by metabolic syndrome, hepatic steatosis, and liver inflammation, NASH is believed to be under the influence of the gut microflora. Here, the composition of gut bacterial communities of NASH, obese, and healthy children was determined by 16S ribosomal RNA pyrosequencing. In addition, peripheral blood ethanol was analyzed to monitor endogenous ethanol production of patients and healthy controls. UniFrac-based principle coordinates analysis indicated that most of the microbiome samples clustered by disease status. Each group was associated with a unique pattern of enterotypes. Differences were abundant at phylum, family, and genus levels between healthy subjects and obese patients (with or without NASH), and relatively fewer differences were observed between obese and the NASH microbiomes. Among those taxa with greater than 1% representation in any of the disease groups, Proteobacteria, Enterobacteriaceae, and Escherichia were the only phylum, family and genus types exhibiting significant difference between obese and NASH microbiomes. Similar blood-ethanol concentrations were observed between healthy subjects and obese non-NASH patients, but NASH patients exhibited significantly elevated blood ethanol levels. The increased abundance of alcohol-producing bacteria in NASH microbiomes, elevated blood-ethanol concentration in NASH patients, and the well-established role of alcohol metabolism in oxidative stress and, consequently, liver inflammation suggest a role for alcohol-producing microbiota in the pathogenesis of NASH. We postulate that the distinct composition of the gut microbiome among NASH, obese, and healthy controls could offer a target for intervention or a marker for disease. Copyright © 2012 American Association for the Study of Liver Diseases.
                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: SoftwareRole: VisualizationRole: Writing – original draft
                Role: ConceptualizationRole: Data curationRole: SoftwareRole: Writing – original draft
                Role: SupervisionRole: ValidationRole: Writing – review & editing
                Role: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                28 March 2024
                2024
                : 19
                : 3
                : e0299946
                Affiliations
                [001] Department of Gastroenterology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
                University of California Los Angeles, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                ‡ WC and TQ are contributed equally to this work and shared first authorship.

                Author information
                https://orcid.org/0000-0003-3762-3589
                Article
                PONE-D-23-24041
                10.1371/journal.pone.0299946
                10977702
                38547205
                f5325e96-d81f-4859-91b3-06cf63ec42ba
                © 2024 Cai et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 5 August 2023
                : 20 February 2024
                Page count
                Figures: 6, Tables: 3, Pages: 18
                Funding
                Funded by: Quanzhou City Science & Technology Program of China
                Award ID: No. 2022NS080
                This work was supported by Quanzhou City Science & Technology Program of China (No. 2022NS080). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Organisms
                Bacteria
                Gut Bacteria
                Biology and life sciences
                Molecular biology
                Molecular biology techniques
                Sequencing techniques
                DNA sequencing
                Gene Sequencing
                Research and analysis methods
                Molecular biology techniques
                Sequencing techniques
                DNA sequencing
                Gene Sequencing
                Biology and life sciences
                Biochemistry
                Nucleic acids
                RNA
                Non-coding RNA
                Ribosomal RNA
                Biology and life sciences
                Biochemistry
                Ribosomes
                Ribosomal RNA
                Biology and life sciences
                Cell biology
                Cellular structures and organelles
                Ribosomes
                Ribosomal RNA
                Biology and Life Sciences
                Anatomy
                Digestive System
                Gastrointestinal Tract
                Medicine and Health Sciences
                Anatomy
                Digestive System
                Gastrointestinal Tract
                Research and Analysis Methods
                Research Design
                Case-Control Studies
                Research and Analysis Methods
                Research Design
                Cross-Sectional Studies
                Biology and Life Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Shannon Index
                Ecology and Environmental Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Shannon Index
                People and Places
                Geographical Locations
                Asia
                China
                Custom metadata
                All relevant data are within the manuscript and its Supporting information files.

                Uncategorized
                Uncategorized

                Comments

                Comment on this article