Evidence map›Paper›PMID 37769624›Full record

ArticleDigestive diseases (Basel, Switzerland)2024

Metabolic Dysfunction-Associated Fatty Liver Disease on Distinct Microbial Communities at the Bacterial Phylum Level.

Haruki Uojima, Yoshihiko Sakaguchi, Kazuyoshi Gotoh, Takashi Satoh, Hisashi Hidaka, Akira Take, Kazue Horio, Shunji Hayashi, Chika Kusano

Abstract read
In one paragraph

Article in Digestive diseases (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Haruki UojimaDepartment of Gastroenterology, Internal Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Yoshihiko SakaguchiDepartment of Microbiology, Kitasato University School of Medicine, Sagamihara, Japan.
Kazuyoshi GotohDepartment of Bacteriology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
Takashi SatohDivision of Hematology, Kitasato University School of Allied Health Sciences, Sagamihara, Japan.
Hisashi HidakaDepartment of Gastroenterology, Internal Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Akira TakeDepartment of Microbiology, Kitasato University School of Medicine, Sagamihara, Japan.
Kazue HorioDepartment of Gastroenterology, Internal Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Shunji HayashiDepartment of Microbiology, Kitasato University School of Medicine, Sagamihara, Japan.
Chika KusanoDepartment of Gastroenterology, Internal Medicine, Kitasato University School of Medicine, Sagamihara, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLimited data are available on the correlation between microbial communities and metabolic dysfunction-associated fatty liver disease (MAFLD). This study aimed to evaluate the influence of MAFLD on diverse microbial communities.

methodsWe recruited 43 patients with a nonviral liver disease. Enrolled patients were divided into two groups according to MAFLD criteria. The fecal microbial composition was evaluated using the variable V3-V4 region of the 16S ribosomal RNA region, which was amplified using polymerase chain reaction. First, we assessed the influence of MAFLD on distinct microbial communities at the bacterial phylum level. Next, the correlation between the microbial communities and diversity in patients with MAFLD was evaluated.

resultsAmong the enrolled participants, the non-MAFLD and MAFLD groups consisted of 21 and 22 patients, respectively. Sequences were distributed among ten bacterial phyla. The relative abundance of Firmicutes was significantly higher in the MAFLD group than in the non-MAFLD group (p = 0.014). The microbial diversity was not significantly influenced by the presence of MAFLD (Chao-1 index: p = 0.215 and Shannon index: p = 0.174, respectively); nonetheless, the correlation coefficient between the abundances of Firmicutes and microbial diversity was higher in the non-MAFLD group than in the MAFLD group.

conclusionThe presence of MAFLD increased the relative abundances of Firmicutes at the bacterial phylum level, which may cause the discrepancy between the abundances of Firmicutes and diversity in patients with MAFLD.

Indexed as

MicrobiotaNon-alcoholic Fatty Liver DiseaseFecesHumansDysbiosisFecal microbial communitiesFirmicutesLiver cirrhosisMetabolic dysfunction-associated fatty liver disease

Identifiers

PMID37769624
PMCPMC10836752

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.