A Stage-Ordered Multi-Omic Continuum Underlies Cardiovascular-Kidney-Metabolic Syndrome and the Protective Association of Cardiovascular Health
Zhang, Y.; Cai, X.; Zhang, Y.; Gan, X.; Huang, Y.; Chen, D.; Liang, X.; Wang, Y.; Zhang, Y.; Qin, X.
Show abstract
Background and aimsCardiovascular-kidney-metabolic (CKM) syndrome stages confer graded CVD risk, but the underlying stage-specific molecular mechanisms remain undefined. MethodsIn 355,724 UK Biobank participants (median follow-up 13.5 years), we mapped CKM stages (0-3) to incident CVD. Using proteomics (n=37,785) and metabolomics (n=190,112), we identified stage-specific biomarkers via LASSO and XGBoost-SHAP. Mediation analyses were performed to quantify the proportion of the CKM-CVD association that was statistically accounted for by these biomarkers. The proportion of the protective association between cardiovascular health (Lifes Crucial 9 [LC9]) and incident CVD that was mediated by the same molecules was quantified. ResultsCVD risk increased across CKM stages. Beyond 11 pan-stage proteins (e.g., RTN4R,LEP) and 29 pan-stage metabolites (e.g.,GlycA), stage-specific molecular signatures emerged, whose pathway enrichment revealed a shift from metabolic/extracellular matrix dysregulation (Stage 1) to inflammation (Stage 2) to hypoxia/fibrosis (Stage 3). The proportion of the CKM-CVD risk association statistically accounted for by these molecules shifted accordingly: ADM (42.9%) in Stage 1, FABP4 (24.6%) in Stage 2, and HAVCR1 (28.0%) in Stage 3. High CVH (LC9[≥]80) was associated with approximately 80% lower CVD risk in Stages 0-2; a proportion of this protective association was statistically accounted for by the same stage-specific molecules. ConclusionsThese findings reveal a stage-ordered molecular continuum--from ECM remodeling to inflammation to fibrosis--that redefines CKM-driven CVD risk, and the strong protection of high CVH in early stages was statistically accounted for in part by these stage-specific molecules, generating the hypothesis that CVH may reduce risk through these modifiable pathways and providing a molecular framework for future stage-adapted intervention trials.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Shared proteomic landscape between arteriosclerosis and cardiovascular endpoints: a Mendelian randomization and observational study integrating AlphaFold3 for structural prediction 94%
- Quantifying the impact of gut microbiota on inflammation and hypertensive organ damage 91%
- Delineation of a thrombin receptor-stimulated vascular smooth muscle cell transition generating cells in the plaque-stabilising fibrous cap 91%
Similar papers in this journal
- Identification of plasma proteomic markers underlying polygenic risk of type 2 diabetes and related comorbidities 93%
- Circulating causal protein networks linked to future risk of myocardial infarction 92%
- Comprehensive genetic analysis of the human lipidome identifies novel loci controlling lipid homeostasis with links to coronary artery disease 92%
Similar papers in this journal
- Epigenomic prediction of cardiovascular disease risk and interactions with traditional risk metrics 92%
- The association between clonal hematopoiesis driver mutations, immune cell function and the vasculometabolic complications of obesity 91%
- Blood pressure, cardiometabolic traits and cardiovascular events in women with uterine fibroids: a genetic correlation and Mendelian randomization study 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.