| Title: | Plasma proteomics and carotid intima-media thickness in the UK biobank cohort |
| Journal: | Frontiers in Cardiovascular Medicine |
| Published: | 2 Oct 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/39416432/ |
| DOI: | https://doi.org/10.3389/fcvm.2024.1478600 |
Publication 13290
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
Background and aims: Ultrasound derived carotid intima-media thickness (cIMT) is valuable for cardiovascular risk stratification. We assessed the relative importance of traditional atherosclerosis risk factors and plasma proteins in predicting cIMT measured nearly a decade later.</p>
Method: We examined 6,136 UK Biobank participants with 1,461 proteins profiled using the proximity extension assay applied to their baseline blood draw who subsequently underwent a cIMT measurement. We implemented linear regression, stepwise Akaike Information Criterion-based, and the least absolute shrinkage and selection operator (LASSO) models to identify potential proteomic as well as non-proteomic predictors. We evaluated our model performance using the proportion variance explained (R 2).</p>
Result: The mean time from baseline assessment to cIMT measurement was 9.2 years. Age, blood pressure, and anthropometric related variables were the strongest predictors of cIMT with fat-free mass index of the truncal region being the strongest predictor among adiposity measurements. A LASSO model incorporating variables including age, assessment center, genetic risk factors, smoking, blood pressure, trunk fat-free mass index, apolipoprotein B, and Townsend deprivation index combined with 97 proteins achieved the highest R 2 (0.308, 95% C.I. 0.274, 0.341). In contrast, models built with proteins alone or non-proteomic variables alone explained a notably lower R 2 (0.261, 0.228-0.294 and 0.260, 0.226-0.293, respectively). Chromogranin b (CHGB), Cystatin-M/E (CST6), leptin (LEP), and prolargin (PRELP) were the proteins consistently selected across all models.</p>
Conclusion: Plasma proteins add to the clinical and genetic risk factors in predicting a cIMT measurement. Our findings implicate blood pressure and extracellular matrix-related proteins in cIMT pathophysiology.</p>
10 Authors
- Ming-Li Chen
- Pik Fang Kho
- Rodrigo Guarischi-Sousa
- Jiayan Zhou
- Daniel J. Panyard
- Zahra Azizi
- Trisha Gupte
- Kathleen Watson
- Fahim Abbasi
- Themistocles L. Assimes
1 Application
| Application ID | Title |
|---|---|
| 52374 | Genetic architecture of human phenotypes |
Enabling scientific discoveries that improve human health