Causal relationship of hepatic fat with liver damage and insulin resistance in nonalcoholic fatty liver
Open accessAbstract
BACKGROUND AND AIMS: Nonalcoholic fatty liver disease is epidemiologically associated with hepatic and metabolic disorders. The aim of this study was to examine whether hepatic fat accumulation has a causal role in determining liver damage and insulin resistance. METHODS: We performed a Mendelian randomization analysis using risk alleles in PNPLA3, TM6SF2, GCKR and MBOAT7, and a polygenic risk score for hepatic fat, as instruments. We evaluated complementary cohorts of at-risk individuals and individuals from the general population: 1515 from the liver biopsy cohort (LBC), 3329 from the Swedish Obese Subjects Study (SOS) and 4570 from the population-based Dallas Heart Study (DHS). RESULTS: Hepatic fat was epidemiologically associated with liver damage, insulin resistance, dyslipidemia and hypertension. The impact of genetic variants on liver damage was proportional to their effect on hepatic fat accumulation. Genetically determined hepatic fat was associated with aminotransferases, and with inflammation, ballooning and fibrosis in the LBC. Furthermore, in the LBC, the causal association between hepatic fat and fibrosis was independent of disease activity, suggesting that a causal effect of long-term liver fat accumulation on liver disease is independent of inflammation. Genetically determined hepatic steatosis was associated with insulin resistance in the LBC and SOS. However, this association was dependent on liver damage severity. Genetically determined hepatic steatosis was associated with liver fibrosis/cirrhosis and with a small increase in risk of type 2 diabetes in publicly available databases. CONCLUSION: These data suggest that long-term hepatic fat accumulation plays a causal role in the development of chronic liver disease.
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Besides PNPLA3 p.I148M and TM6SF2 p.E167K, additional variants including common risk variants in MBOAT7, GCKR, GPAM, protective variants in HSD17B13, APOE and MTARC1, and rare variants in APOB, MTTP, CIDEB and ATG7 have been robustly associated with the risk of progressive MASLD.
“Besides PNPLA3 p.I148M and TM6SF2 p.E167K, additional variants, including common risk variants in MBOAT7 , GCKR , GPAM , protective variants in HSD17B13 , APOE and MTARC1, and rare variants ( e.g. in APOB , MTTP, CIDEB and ATG7 ), have been robustly associated with the risk of progressive MASLD. 199 -205”
From EASL-EASD-EASO Clinical Practice Guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD). (2024) · cites this paper as [201]
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- Authors
- Dongiovanni, P., Stender, S., Pietrelli, A., Mancina, R. M., Cespiati, A., Petta, S., Pelusi, S., Pingitore, P., Badiali, S., Maggioni, M., Mannisto, V., Grimaudo, S., Pipitone, R. M., Pihlajamaki, J., Craxi, A., Taube, M., Carlsson, L. M. S., Fargion, S., Romeo, S., Kozlitina, J., & Valenti, L.
- Affiliations
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT)
- The University of Texas Southwestern Medical Center (US)
- University of Gothenburg (SE)
- University of Palermo (IT)
- Department of Gastroenterology University of Eastern Finland Kuopio University Hospital Kuopio Finland
- Department of Medicine University of Eastern Finland Kuopio University Hospital Kuopio Finland
- Department of Gastroenterology Università di Palermo Palermo Italy
- University of Eastern Finland (FI)
- University of Milan (IT)
- Sahlgrenska University Hospital (SE)
- Corresponding author
- Romeo, S.
- Kozlitina, J.
- Valenti, L.
- ORCID
- Venue
- Journal of Internal Medicine
- Publisher
- Wiley
- Published
- 2017-12-27
- Volume
- 283
- Issue
- 4
- Pages
- 356-370
- ISSN
- 0954-6820 (ISSN-L)
- 1365-2796
- PMC
- PMC5900872
- OpenAlex
- W2780792102
- Cited by
- 367
- References
- 46
- Citations by year
- 2026: 28 · 2025: 36 · 2024: 50 · 2023: 52 · 2022: 45 · 2021: 58 · 2020: 46 · 2019: 35 · 2018: 13 · 2012: 1
- FWCI
- 20.14
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Internal Medicine (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, cc-by)
- Nova Science Publishers (Nova Science Publishers, Inc.) (submittedVersion, other-oa)
- Funders
- Associazione Italiana per la Ricerca sul Cancro (16888)
- National Institutes of Health
- National Institute of Diabetes and Digestive and Kidney Diseases (R01 DK090066)
- National Heart, Lung, and Blood Institute (P01 HL20948)
- National Center for Advancing Translational Sciences (UL1TR001105)
- Svenska Forskningsrådet Formas (254439006, K2013‐54X‐11285‐19)
- Hjärt-Lungfonden (244439007)
- Sahlgrenska Universitetssjukhuset (ALFGBG‐428911)
- Novo Nordisk (244439012)
- Stiftelserna Wilhelm och Martina Lundgrens
- Kungliga Fysiografiska Sällskapet i Lund
- Sundhed og Sygdom, Det Frie Forskningsråd (4004‐00398)
- Topics
- Health Sciences › Medicine › Epidemiology › Liver Disease Diagnosis and Treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Pathology and Forensic Medicine › Alcohol Consumption and Health Effects
- Keywords
- non-alcoholic fatty liver disease, hepatic lipid accumulation, hepatic steatosis, liver injury, liver fibrosis, liver cirrhosis, insulin resistance, type 2 diabetes, dyslipidemia, hypertension, PNPLA3, TM6SF2, GCKR, MBOAT7, risk alleles, polygenic risk score, Mendelian randomization, transaminases, liver inflammation
- MeSH terms
- Acyltransferases, Adipose Tissue, Adult, Chronic Disease, Diabetes Mellitus, Type 2, Female, Genetic Markers, Humans, Insulin Resistance, Lipase, Liver Cirrhosis, Male, Membrane Proteins, Prospective Studies, Adaptor Proteins, Signal Transducing, Phospholipases A2, Calcium-Independent, Mendelian Randomization Analysis, Non-alcoholic Fatty Liver Disease
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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