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      Relationship between gut microbiome diversity and hepatitis B viral load in patients with chronic hepatitis B

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          Abstract

          Background

          Hepatitis B virus (HBV) infection is associated with a reduced risk of developing dyslipidemia and non-alcoholic fatty liver diseases. Given that the gut microbiota plays a significant role in cholesterol metabolism, we compared the differences in gut microbial diversity and composition between HBV-infected and uninfected subjects.

          Results

          A prospective case–control study was designed comprising healthy controls (group A) and HBV-infected individuals (group B) in a 1:1 ratio (57 participants each; total = 114). The patients in group B were divided into two subgroups according to their HBV DNA loads: B1 < 2000 IU/mL (N = 40) and B2 ≥ 2000 IU/mL (N = 17). In a pairwise comparison of HBV-infected individuals and controls, higher alpha diversity was noted in group B, and the difference was significant only in patients in group B1. Alloprevotella and Eubacterium coprostanoligenes were predominant in group B1 compared to the control, whereas the abundance of Bacteroides fragilis and Prevotella 2 was lower.

          Conclusions

          The gut microbiome in HBV-infected individuals with a low viral load is highly diverse and is dominated by specific taxa involved in fatty acid and lipid metabolism. To our knowledge, this is the first demonstration of a correlation between the presence of certain bacterial taxa and chronic HBV infection depending on the load of HBV DNA.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13099-021-00461-1.

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          Most cited references34

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          DADA2: High resolution sample inference from Illumina amplicon data

          We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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            Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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              Metagenomic biomarker discovery and explanation

              This study describes and validates a new method for metagenomic biomarker discovery by way of class comparison, tests of biological consistency and effect size estimation. This addresses the challenge of finding organisms, genes, or pathways that consistently explain the differences between two or more microbial communities, which is a central problem to the study of metagenomics. We extensively validate our method on several microbiomes and a convenient online interface for the method is provided at http://huttenhower.sph.harvard.edu/lefse/.
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                Author and article information

                Contributors
                o147942@gmail.com
                choyk2004.cho@samsung.com
                Journal
                Gut Pathog
                Gut Pathog
                Gut Pathogens
                BioMed Central (London )
                1757-4749
                30 October 2021
                30 October 2021
                2021
                : 13
                : 65
                Affiliations
                [1 ]GRID grid.415735.1, ISNI 0000 0004 0621 4536, Division of Infectious Diseases, Department of Medicine, , Kangbuk Samsung Hospital, Sungkyunkwan University, School of Medicine, ; Seoul, Republic of Korea
                [2 ]GRID grid.415735.1, ISNI 0000 0004 0621 4536, Department of Laboratory Medicine, , Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, ; Seoul, Republic of Korea
                [3 ]GRID grid.415735.1, ISNI 0000 0004 0621 4536, Division of Gastroenterology and Hepatology, Department of Medicine, , Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, ; Seoul, Republic of Korea
                [4 ]GRID grid.415735.1, ISNI 0000 0004 0621 4536, Medical Research Institute, , Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, ; 29 Saemunan-ro, Jongno-gu, Seoul, 03181 Republic of Korea
                [5 ]GRID grid.264381.a, ISNI 0000 0001 2181 989X, Department of Clinical Research Design & Evaluation, , SAIHST, Sungkyunkwan University, ; Seoul, Republic of Korea
                [6 ]GRID grid.415735.1, ISNI 0000 0004 0621 4536, Division of Gastroenterology and Hepatology, Department of Medicine, , Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, ; 29 Saemunan-ro, Jongno-gu, Seoul, 03181 Republic of Korea
                Author information
                http://orcid.org/0000-0001-7053-7469
                Article
                461
                10.1186/s13099-021-00461-1
                8557478
                34717727
                18e466a4-806d-4f15-b6fe-7b724cc4f844
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 24 May 2021
                : 19 October 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003725, National Research Foundation of Korea;
                Award ID: 2018R1C1B6009358
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Gastroenterology & Hepatology
                hepatitis b,chronic,viral load,gastrointestinal microbiome
                Gastroenterology & Hepatology
                hepatitis b, chronic, viral load, gastrointestinal microbiome

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