EBioMedicineGenetic & Genomic MedicinePeer-reviewed journal article
Integrating multi-modal omics to identify therapeutic atherosclerosis pathways for coronary heart disease
Sophie C. de RuiteriD, Marion van VugtiD, Chris FinaniD, Diederick E. GrobbeeiD, Dominique P.V. de KleijniD, Gerard PasterkampiD, Hester M. den RuijteriD, Ernest Diez BenaventeiD, Sanne A. E. PetersiD, Amand Floriaan SchmidtiD
Abstract
IntroductionUrinary metabolism breakdown products reflect metabolic changes in atherosclerosis-relevant tissues and may contain relevant therapeutic leads. We integrated data on urinary metabolism breakdown products, plasma proteins, atherosclerotic plaque tissue, and single-cell expression to identify druggable metabolic pathways for coronary heart disease (CHD). MethodsMendelian randomisation was employed to interrogate findings from independent genome-wide association studies on 954 urinary metabolism breakdown products, 1,562 unique proteins, and 181,522 CHD cases, establishing directionally concordant associations. Using the Athero-Express Biobank, concordant plasma proteins were linked to plaque vulnerability using protein and mRNA expression in plaque. Single-cell RNA sequencing data obtained from carotid plaque samples were used to test for differential expression of concordant proteins across plaque cell types. ResultsIn total, 29 urinary metabolism breakdown products associated with CHD, predominantly originating from amino acid metabolism (n=12) or unclassified origin (n=9). We identified 113 plasma proteins with directionally concordant associations with these urinary metabolism breakdown products and CHD. Of the 110 proteins available in plaque, 16 were associated with plaque vulnerability. This included positive control proteins targeted by drugs indicated for CHD, such as CAH1 (targeted by aspirin), IL6R (targeted by tocilizumab), and AT1B2 (targeted by digoxin), as well as two potential repurposing opportunities C1S (targeted by C1-esterase inhibitor and sutimlimab) and CATH (targeted by bortezomib). ConclusionWe have identified amino acid metabolism as an important contributing pathway to CHD risk and prioritised 16 proteins relevant for CHD with involvement in atherosclerotic plaques, providing important insights for drug development.
- organism: human
- assay: bulk RNA-seq
- assay: metabolomics
- research focus: drug response / drug discovery
- approach: statistical model
- Citations
- 5
- FWCI
- 1.49
- Field percentile
- top 18%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Proteome-wide Mendelian randomization identifies candidate causal proteins for cardiovascular diseases
Chen Li, Nicolas De Jay, … Erika M. Kvikstad·Advanced GeneticsPeer-reviewed·Mar 10, 2025
- Differential metabolic biomarkers between coronary heart disease and diabetes mellitus
Zhicai Wang, Cang Yan, … Zheng Liu·bioRxiv·Dec 16, 2024
- A plasma proteomic signature for atherosclerotic cardiovascular disease risk prediction in the UK Biobank cohort
Trisha P. Gupte, Zahra Azizi, … Themistocles L. Assimes·medRxiv·Sep 13, 2024
- Validation of lipid-related therapeutic targets for coronary heart disease prevention using human genetics
María Gordillo‐Marañón, Magdalena Zwierzyna, … Chris Finan·Nature CommunicationsPeer-reviewed·Oct 21, 2021
- Dissecting the Genetic Link Between Insulin Resistance and Coronary Heart Disease: A Multi-Trait GWAS and Proteomic-Metabolomic Mediation Analysis
Rui Dong, Jiao Fu, … Guoliang Li·medRxiv·Aug 3, 2026
- Metabolomic signatures of lipid-modifying therapies using drug target Mendelian randomization
Tom G. Richardson, Genevieve M Leyden, … Michael Vaclav Holmes·PLoS BiologyPeer-reviewed·Feb 25, 2022