Across complementary analytic frameworks, Cer24:0 consistently exhibited positive associations with lipid-centric IR metrics among adults with established CAD, suggesting that circulating ceramide profiling may refine metabolic risk stratification beyond conventional indices in cardiology practice.
Key Findings
Results
Plasma ceramide Cer24:0 showed a direct conditional association with the triglyceride-glucose index (TyG) independent of other variables in the network.
Mixed graphical model (MGM) analysis was used to estimate conditional associations within a multivariable network.
The partial correlation between Cer24:0 and TyG was r=0.23 (95% CI, 0.17–0.29).
This association was independent of other ceramide species (Cer16:0, Cer18:0, Cer24:1) and other variables included in the network.
The study enrolled n=987 adults with established coronary artery disease (CAD) across multiple centers.
Results
Per 1-unit increase in ln(Cer24:0) was associated with a significantly higher TyG index in double machine learning analyses.
Double machine learning (DML) with causal-forest estimators was used to provide covariate-adjusted association estimates.
The estimated association was 0.459 (95% CI, 0.252–0.665; P = 0.001) per 1-unit increase in ln(Cer24:0).
Exposures were standardized per standard deviation.
These estimates demonstrated moderate robustness to unmeasured confounding, with a robustness value (RV) theta of 0.223.
Results
A ceramide-augmented model classified clinical insulin resistance (IR) with an ROC-AUC of 0.770.
Clinical IR was prespecified as TyG ≥ 9.
The ceramide-augmented model achieved an area under the receiver operating characteristic curve (ROC-AUC) of 0.770 (95% CI, 0.741–0.799).
The model incorporated plasma ceramide species alongside conventional clinical variables.
This finding suggests ceramide profiling may add discriminative value beyond conventional IR indices.
Results
Plasma ceramides were correlated with multiple surrogate insulin resistance indices in a cohort of CAD patients.
Four ceramide species were quantified: Cer16:0, Cer18:0, Cer24:0, and Cer24:1.
Three surrogate IR indices were assessed: TyG, metabolic score for insulin resistance (METS-IR), and triglyceride-to-high-density lipoprotein cholesterol ratio (TG/HDL-C).
The study was a prospective, multicenter observational cohort with n=987 participants with established CAD.
Ceramide associations were observed across lipid-centric IR metrics (TyG and TG/HDL-C).
Results
The association between Cer24:0 and TyG was consistent across multiple complementary analytic frameworks.
Both MGM network analysis and DML with causal-forest estimators were applied to assess the Cer24:0–TyG association.
Findings were consistent across these distinct methodological approaches.
The robustness value (RV theta = 0.223) indicated moderate resistance to potential unmeasured confounding.
The authors noted the study was observational in design, limiting causal inference.
Xin S, Wang R, Chen X, Chang C, Zhao X, Zeng Y, et al.. (2026). Plasma ceramide Cer24:0 and insulin resistance: associations with TyG and TG/HDL-C in a multicenter study of coronary artery disease cohorts.. Frontiers in endocrinology. https://doi.org/10.3389/fendo.2026.1777380