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Single nucleus RNA-sequencing integrated into risk variant colocalization discovers 17 cell-type-specific abdominal obesity genes for metabolic dysfunction-associated steatotic liver disease.
- Source :
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EBioMedicine [EBioMedicine] 2024 Aug; Vol. 106, pp. 105232. Date of Electronic Publication: 2024 Jul 10. - Publication Year :
- 2024
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Abstract
- Background: Abdominal obesity increases the risk for non-alcoholic fatty liver disease (NAFLD), now known as metabolic dysfunction-associated steatotic liver disease (MASLD).<br />Methods: To elucidate the directional cell-type level biological mechanisms underlying the association between abdominal obesity and MASLD, we integrated adipose and liver single nucleus RNA-sequencing and bulk cis-expression quantitative trait locus (eQTL) data with the UK Biobank genome-wide association study (GWAS) data using colocalization. Then we used colocalized cis-eQTL variants as instrumental variables in Mendelian randomization (MR) analyses, followed by functional validation experiments on the target genes of the cis-eQTL variants.<br />Findings: We identified 17 colocalized abdominal obesity GWAS variants, regulating 17 adipose cell-type marker genes. Incorporating these 17 variants into MR discovers a putative tissue-of-origin, cell-type-aware causal effect of abdominal obesity on MASLD consistently with multiple MR methods without significant evidence for pleiotropy or heterogeneity. Single cell data confirm the adipocyte-enriched mean expression of the 17 genes. Our cellular experiments across human adipogenesis identify risk variant -specific epigenetic and transcriptional mechanisms. Knocking down two of the 17 genes, PPP2R5A and SH3PXD2B, shows a marked decrease in adipocyte lipidation and significantly alters adipocyte function and adipogenesis regulator genes, including DGAT2, LPL, ADIPOQ, PPARG, and SREBF1. Furthermore, the 17 genes capture a characteristic MASLD expression signature in subcutaneous adipose tissue.<br />Interpretation: Overall, we discover a significant cell-type level effect of abdominal obesity on MASLD and trace its biological effect to adipogenesis.<br />Funding: NIH grants R01HG010505, R01DK132775, and R01HL170604; the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Grant No. 802825), Academy of Finland (Grants Nos. 333021), the Finnish Foundation for Cardiovascular Research the Sigrid Jusélius Foundation and the Jane and Aatos Erkko Foundation; American Association for the Study of Liver Diseases (AASLD) Advanced Transplant Hepatology award and NIH/NIDDK (P30DK41301) Pilot and Feasibility award; NIH/NIEHS F32 award (F32ES034668); Finnish Diabetes Research Foundation, Kuopio University Hospital Project grant (EVO/VTR grants 2005-2021), the Academy of Finland grant (Contract no. 138006); Academy of Finland (Grant Nos 335443, 314383, 272376 and 266286), Sigrid Jusélius Foundation, Finnish Medical Foundation, Finnish Diabetes Research Foundation, Novo Nordisk Foundation (#NNF20OC0060547, NNF17OC0027232, NNF10OC1013354) and Government Research Funds to Helsinki University Hospital; Orion Research Foundation, Maud Kuistila Foundation, Finish Medical Foundation, and University of Helsinki.<br />Competing Interests: Declaration of interests M.L. was funded by the Sigrid Jusélius Foundation during the last 36 months. The other authors declare no competing interests.<br /> (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)
- Subjects :
- Humans
Non-alcoholic Fatty Liver Disease genetics
Non-alcoholic Fatty Liver Disease pathology
Non-alcoholic Fatty Liver Disease metabolism
Polymorphism, Single Nucleotide
Sequence Analysis, RNA
Protein Phosphatase 2 genetics
Protein Phosphatase 2 metabolism
Cell Nucleus metabolism
Cell Nucleus genetics
Adipogenesis genetics
Single-Cell Analysis
Gene Expression Regulation
Obesity, Abdominal genetics
Genome-Wide Association Study
Quantitative Trait Loci
Genetic Predisposition to Disease
Subjects
Details
- Language :
- English
- ISSN :
- 2352-3964
- Volume :
- 106
- Database :
- MEDLINE
- Journal :
- EBioMedicine
- Publication Type :
- Academic Journal
- Accession number :
- 38991381
- Full Text :
- https://doi.org/10.1016/j.ebiom.2024.105232