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American Heart Association

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Final ID: Su1033

Integrative Metabolomic Analysis of Triglyceride-Independent Lipoprotein Lipase Pathway Mechanisms for Coronary Artery Disease

Abstract Body (Do not enter title and authors here): Background: Strong genetic evidence supports the associations between key genes in triglyceride (TG) metabolism via the lipoprotein lipase (LPL) pathway (i.e., LPL, APOC3, and ANGPTL3) and coronary artery disease (CAD). Given sparse human genetic or clinical trial evidence for other TG-modulating pathways, it is unclear if CAD risk reduction is due to reductions in TG levels alone or a secondary mechanism of action.
Aim: To determine if there are TG-independent mechanisms of CAD risk reduction specific to the LPL pathway using genomics and metabolomics.
Methods: We assessed the genetic effects of LPL pathway genes (67, 46, and 17 SNPs for LPL, APOC3, and ANGPTL3, respectively) and non-LPL pathway genes (3462 SNPs) for TG levels and 168 metabolites. We identified metabolites with associated effects that were greater than the associated effects with TG levels for LPL pathway genes and showed heterogeneity compared to the effects for non-LPL pathway genes. Cox proportional-hazards models were used to evaluate the association of candidate metabolites measured at baseline with incident CAD in participants of the UK Biobank. Models were adjusted for age, sex, TG levels, BMI, prevalent type 2 diabetes, statin, and ten PCs of genetic ancestry.
Results: Among 233,719 UK Biobank participants free of prevalent CAD and with metabolite measurements, the mean (SD) age was 57.1 (8.0) years, 105,111 (45.0%) were male, and all self-reported as white. Over a median (IQR) follow-up of 11.2 (10.5-11.9) years, there were 7992 (3.4%) incident CAD cases. There were 30, 6, and 93 metabolites with significantly greater genetic effects for LPL, APOC3, and ANGPTL3 than what was observed with TG levels, respectively. Among 20 metabolites with heterogeneity for ≥2 LPL pathway genes compared to non-LPL pathway genes, multi-variable Cox regression revealed 19 significantly associated with CAD (P<3x10-4).
Conclusion: LPL pathway genes have convergent and distinct impacts across metabolites. While LPL and ANGPTL3 have large genetic effects on VLDL metrics, APOC3 may have genetic effects beyond lipoprotein metabolism that impact CAD risk. The extent to which these metabolites influence CAD risk beyond TG alterations requires further study.
  • Dron, Jacqueline  ( Massachusetts General Hospital , Boston , Massachusetts , United States )
  • Xue, Liying  ( Broad Institute of MIT and Harvard , Cambridge , Massachusetts , United States )
  • Koyama, Satoshi  ( Broad Institute of MIT and Harvard , Cambridge , Massachusetts , United States )
  • Schuermans, Art  ( Broad Institute of MIT and Harvard , Cambridge , Massachusetts , United States )
  • Lee, Jiwoo  ( Broad Institute of MIT and Harvard , Cambridge , Massachusetts , United States )
  • Honigberg, Michael  ( Massachusetts General Hospital , Boston , Massachusetts , United States )
  • Hornsby, Whitney  ( Massachusetts General Hospital , Boston , Massachusetts , United States )
  • Peloso, Gina  ( Boston University School of Public , Boston , Massachusetts , United States )
  • Natarajan, Pradeep  ( Massachusetts General Hospital , Boston , Massachusetts , United States )
  • Author Disclosures:
    Jacqueline Dron: DO NOT have relevant financial relationships | Liying Xue: DO NOT have relevant financial relationships | Satoshi Koyama: DO NOT have relevant financial relationships | Art Schuermans: DO NOT have relevant financial relationships | Jiwoo Lee: DO NOT have relevant financial relationships | Michael Honigberg: DO have relevant financial relationships ; Advisor:Miga Health:Active (exists now) ; Research Funding (PI or named investigator):Novartis:Expected (by end of conference) ; Consultant:Comanche Biopharma:Past (completed) ; Research Funding (PI or named investigator):Genentech:Active (exists now) | Whitney Hornsby: No Answer | Gina Peloso: DO NOT have relevant financial relationships | Pradeep Natarajan: DO have relevant financial relationships ; Researcher:Allelica:Active (exists now) ; Advisor:Preciseli:Active (exists now) ; Advisor:MyOme:Active (exists now) ; Advisor:Esperion Therapeutics:Active (exists now) ; Advisor:TenSixteen Bio:Active (exists now) ; Consultant:Novartis:Active (exists now) ; Consultant:Genentech / Roche:Active (exists now) ; Consultant:Eli Lilly & Co:Active (exists now) ; Researcher:Novartis:Active (exists now) ; Researcher:Genentech / Roche:Active (exists now)
Meeting Info:

Scientific Sessions 2024

2024

Chicago, Illinois

Session Info:

Omics of Metabolic Pathophysiology

Sunday, 11/17/2024 , 11:30AM - 12:30PM

Abstract Poster Session

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