Evidence map›Paper›PMID 38396863›Full record

ArticleInternational journal of molecular sciences2024

Microbial Dysbiosis Linked to Metabolic Dysfunction-Associated Fatty Liver Disease in Asians:

Heng Yuan, Xuangao Wu, Xichun Wang, Jun-Yu Zhou, Sunmin Park

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
7.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

28 citing papers in PubMed, 30 citations in OpenAlex.

  1. Bridging the gap:Gut microbes · 2026
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  16. The Association BetweenNutrients · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Heng YuanDepartment of Bioconvergence, Hoseo University, Asan 31499, Republic of Korea.
Xuangao WuDepartment of Bioconvergence, Hoseo University, Asan 31499, Republic of Korea.ORCID 0000-0002-6293-7363
Xichun WangDepartment of Computer and Data Analysis, Northern Arizona University, Flagstaff, AZ 86011, USA.
Jun-Yu ZhouDepartment of Bioconvergence, Hoseo University, Asan 31499, Republic of Korea.
Sunmin ParkDepartment of Bioconvergence, Hoseo University, Asan 31499, Republic of Korea.ORCID 0000-0002-6092-8340
Hoseo University · KRNorthern Arizona University · US

Funding

the National Research Foundation of Korea RS202300208567
6 · The paper itself

Abstract

Metabolic dysfunction-associated fatty liver disease (MAFLD), formerly known as non-alcoholic fatty liver disease (NAFLD), is characterized by hepatic fat accumulation by metabolic dysfunction. The rising prevalence of MAFLD, especially among Asians, may be associated with changes in gut microbiota. We investigated gut microbiota characteristics and potential mechanisms leading to MAFLD development according to enterotypes. Case-control studies examining the gut microbiota composition between MAFLD and non-MAFLD participants were searched in public databases until July 2023. Gut microbiota was categorized into two enterotypes by principal component analysis. According to the enterotypes, LEfSe, ALDEx2, XGBoost, and DCiPatho were utilized to identify differential abundances and pathogenic microbes in the gut between the MAFLD and non-MAFLD groups. We analyzed microbial community networks with the SprCC module and predicted microbial functions. In the Prevotella enterotype (ET-P), 98.6% of Asians and 65.1% of Caucasians were associated with MAFLD (

Indexed as

Non-alcoholic Fatty Liver DiseaseAnimalsDysbiosisHumansLipopolysaccharidesPrevotellaLipopolysaccharidesAsian MAFLDenterotypegut microbiotamicrobial biomarkers

Identifiers

PMID38396863
PMCPMC10889285
OpenAlexW4391747789

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.