Evidence mapPaperPMID 35675435Full record

ArticleScience translational medicine2022

Risk assessment with gut microbiome and metabolite markers in NAFLD development.

Howell Leung, Xiaoxue Long, Yueqiong Ni, Lingling Qian, Emmanouil Nychas, Sara Leal Siliceo, Dennis Pohl, Kati Hanhineva, Yan Liu, Aimin Xu and 7 more

Abstract read
In one paragraph

Article in Science translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 1 pooled it
field-weighted citation impact
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

83 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. The gut as a central hub for multi-organ crosstalk in aging.Cellular and molecular life sciences : CMLS · 2026
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23 more citing papers are in PubMed but not listed here.

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

17 authors.

Howell LeungSystems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany.ORCID 0000-0002-7943-480X
Xiaoxue LongDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, 200233 Shanghai, China.ORCID 0000-0002-7080-8422
Yueqiong NiSystems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany.ORCID 0000-0003-1285-7354
Lingling QianDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, 200233 Shanghai, China.
Emmanouil NychasSystems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany.ORCID 0000-0002-1306-683X
Sara Leal SiliceoSystems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany.ORCID 0000-0002-9076-3962
Dennis PohlClinical Microbiomics, Fruebjergvej 3, 2100 Copenhagen, Denmark.ORCID 0000-0003-2644-9263
Kati HanhinevaDepartment of Life Technologies, Food Chemistry and Food Development Unit, University of Turku, 20014 Turku, Finland.ORCID 0000-0001-6834-7375
Yan LiuThe State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0001-6358-4056
Aimin XuThe State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-0668-033X
Henrik B NielsenClinical Microbiomics, Fruebjergvej 3, 2100 Copenhagen, Denmark.
Eugeni BeldaSorbonne Université, INSERM, NutriOmics Research Unit, Nutrition Department, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, 75013 Paris, France.ORCID 0000-0003-4307-5072
Karine ClémentSorbonne Université, INSERM, NutriOmics Research Unit, Nutrition Department, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, 75013 Paris, France.ORCID 0000-0002-2489-3355
Rohit LoombaNAFLD Research Center, Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA.
Huating LiDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, 200233 Shanghai, China.ORCID 0000-0003-0526-5545
Weiping JiaDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, 200233 Shanghai, China.ORCID 0000-0001-8861-3706
Gianni PanagiotouSystems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany.ORCID 0000-0001-9393-124X

Funding

Pediatric Trials in Non-Alcoholic Steatohepatitis (NASH)U01DK061734 · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2002 to 2025
$1.9M
Ancillary Studies of NAFLD and NASH in HIV infected AdultsR01DK121378 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI NAGA P CHALASANI, ROHIT LOOMBA · 2023 to 2023
$1.5M
San Diego Digestive Diseases Research CenterP30DK120515 · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2025 to 2025
$1.2M
San Diego Cirrhosis Clinical Research NetworkU01DK130190 · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2025 to 2025
$360k
NCATS NIH HHS UL1 TR001442NHLBI NIH HHS P01 HL147835NIAAA NIH HHS U01 AA029019NIDDK NIH HHS P30 DK120515NIDDK NIH HHS R01 DK106419NIDDK NIH HHS R01 DK121378NIDDK NIH HHS R01 DK124318NIDDK NIH HHS U01 DK061734NIDDK NIH HHS U01 DK130190
6 · The paper itself

Abstract

A growing body of evidence suggests interplay between the gut microbiota and the pathogenesis of nonalcoholic fatty liver disease (NAFLD). However, the role of the gut microbiome in early detection of NAFLD is unclear. Prospective studies are necessary for identifying reliable, microbiome markers for early NAFLD. We evaluated 2487 individuals in a community-based cohort who were followed up 4.6 years after initial clinical examination and biospecimen sampling. Metagenomic and metabolomic characterizations using stool and serum samples taken at baseline were performed for 90 participants who progressed to NAFLD and 90 controls who remained NAFLD free at the follow-up visit. Cases and controls were matched for gender, age, body mass index (BMI) at baseline and follow-up, and 4-year BMI change. Machine learning models integrating baseline microbial signatures (14 features) correctly classified participants (auROCs of 0.72 to 0.80) based on their NAFLD status and liver fat accumulation at the 4-year follow up, outperforming other prognostic clinical models (auROCs of 0.58 to 0.60). We confirmed the biological relevance of the microbiome features by testing their diagnostic ability in four external NAFLD case-control cohorts examined by biopsy or magnetic resonance spectroscopy, from Asia, Europe, and the United States. Our findings raise the possibility of using gut microbiota for early clinical warning of NAFLD development.

Indexed as

Gastrointestinal MicrobiomeNon-alcoholic Fatty Liver DiseaseBiomarkersHumansProspective StudiesRisk AssessmentBiomarkers

Identifiers

PMID35675435
PMCPMC9746350

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.