Evidence map›Paper›PMID 38582304›Full record

ArticleJournal of hepatology2024

Genetic risk accentuates dietary effects on hepatic steatosis, inflammation and fibrosis in a population-based cohort.

Vincent L Chen, Xiaomeng Du, Antonino Oliveri, Yanhua Chen, Annapurna Kuppa, Brian D Halligan, Michael A Province, Elizabeth K Speliotes

Open access · hybridAbstract read
In one paragraph

Article in Journal of hepatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
14.3field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 37 citations in OpenAlex.

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  19. Nutritional and Fasting Strategies for the Management of MASLD/MASH: An Integrative Review.JGH open : an open access journal of gastroenterology and hepatology · 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

8 authors at 2 institutions in 1 country.

Vincent L ChenDivision of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA.
Xiaomeng DuDivision of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA.
Antonino OliveriDivision of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA.
Yanhua ChenDivision of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA.
Annapurna KuppaDivision of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA.
Brian D HalliganDivision of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA.
Michael A ProvinceDepartment of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
Elizabeth K SpeliotesDivision of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA. Electronic address: espeliot@med.umich.edu.
Michigan Medicine · USWashington University in St. Louis · US

Funding

Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 1999 to 2026
$30.2M
University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
Human population based genetic studies to elucidate the biology of NAFLDR01DK107904 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SPELIOTES, ELIZABETH K · 2016 to 2020
$3.4M
Identification and functional impact of NAFLD associated genetic variantsR01DK106621 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SPELIOTES, ELIZABETH K · 2015 to 2019
$3.3M
Integrative Polygenic Genetic Studies of Non-alcoholic Fatty Liver DiseaseR01DK131787 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SPELIOTES, ELIZABETH K · 2022 to 2025
$2.7M
Identification and Characterization of Loci Associated with Non-alcoholic Fatty Liver DiseaseR01DK128871 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ALLRED, NICHOLETTE D., SPELIOTES, ELIZABETH K · 2021 to 2024
$2.6M
Predictive models for incident cirrhosis in non-alcoholic fatty liver disease using genetic and electronic medical record-based risk factorsK08DK132312 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Vincent Lingzhi Chen · 2022 to 2026
$834k
NHGRI NIH HHS T32 HG000040NIDDK NIH HHS K08 DK132312NIDDK NIH HHS P30 DK056341NIDDK NIH HHS R01 DK106621NIDDK NIH HHS R01 DK107904NIDDK NIH HHS R01 DK128871NIDDK NIH HHS R01 DK131787
6 · The paper itself

Abstract

BACKGROUND &

aimsSteatotic liver disease (SLD), characterized by elevated liver fat content (LFC), is influenced by genetics and diet. However, whether diet has a differential effect based on genetic risk is not well-characterized. We aimed to determine how genetic factors interact with diet to affect SLD in a large national biobank.

methodsWe included UK Biobank participants with dietary intake measured by 24-hour recall and genotyping. The primary predictors were dietary pattern, PNPLA3-rs738409-G, TM6SF2-rs58542926-T, a 16-variant hepatic steatosis polygenic risk score (PRS), and gene-environment interactions. The primary outcome was LFC, and secondary outcomes were iron-controlled T1 time (cT1, a measure of liver inflammation and fibrosis) and liver-related events/mortality.

resultsA total of 21,619 participants met inclusion criteria. In non-interaction models, Mediterranean diet and intake of fruit/vegetables/legumes and fish associated with lower LFC, while higher red/processed meat intake and all genetic predictors associated with higher LFC. In interaction models, all genetic predictors interacted with Mediterranean diet and fruit/vegetable/legume intake, while the steatosis PRS interacted with fish intake and the TM6SF2 genotype interacted with red/processed meat intake, to affect LFC. Dietary effects on LFC were up to 3.8-fold higher in PNPLA3-rs738409-GG vs. -CC individuals, and 1.4-3.0-fold higher in the top vs. bottom quartile of the steatosis PRS. Gene-diet interactions were stronger in participants with vs. without overweight. The steatosis PRS interacted with Mediterranean diet and fruit/vegetable/legume intake to affect cT1 and most dietary and genetic predictors associated with risk of liver-related events or mortality by age 70.

conclusionsEffects of diet on LFC and cT1 were markedly accentuated in patients at increased genetic risk for SLD, implying dietary interventions may be more impactful in these populations. IMPACT AND IMPLICATIONS: Genetic variants and diet both influence risk of hepatic steatosis, inflammation/fibrosis, and hepatic decompensation; however, how gene-diet interactions influence these outcomes has previously not been comprehensively characterized. We investigated this topic in the community-based UK Biobank and found that genetic risk and dietary quality interacted to influence hepatic steatosis and inflammation/fibrosis on liver MRI, so that the effects of diet were greater in people at elevated genetic risk. These results are relevant for patients and medical providers because they show that genetic risk is not fixed (i.e. modifiable factors can mitigate or exacerbate this risk) and realistic dietary changes may result in meaningful improvement in liver steatosis and inflammation/fibrosis. As genotyping becomes more routinely used in clinical practice, patients identified to be at high baseline genetic risk may benefit even more from intensive dietary counseling than those at lower risk, though future prospective studies are required.

Indexed as

Fatty LiverAcyltransferasesAdultAgedCohort StudiesDietDiet, MediterraneanFemaleGene-Environment InteractionGenetic Predisposition to DiseaseHumansInflammationLipaseLiver CirrhosisMaleMembrane ProteinsAcyltransferasesLipaseMembrane ProteinsPhospholipases A2, Calcium-IndependentPNPLA3 protein, humanTM6SF2 protein, human24 hour recallgene-environment interactionMediterranean dietPNPLA3polygenic risk scoreSLDTM6SF2

Identifiers

PMID38582304
PMCPMC11347099
OpenAlexW4393948504

What OpenQuestion holds

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Registered trials

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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.