Plasma Ceramide and Insulin Resistance Associations in Coronary Artery Disease Patients

Shuanli Xin's dataset contains clinical and biomarker data from a prospective, multicenter observational cohort of 987 adults with established coronary artery disease. The data includes quantified plasma ceramide species (Cer16:0, Cer18:0, Cer24:0, Cer24:1) and surrogate insulin resistance indices (TyG, METS-IR, TG/HDL-C). It was last updated on March 18, 2026.

Use Cases

• Modeling conditional associations between ceramide species and insulin resistance indices using mixed graphical models.
• Estimating covariate-adjusted associations using double machine learning with causal-forest estimators.
• Developing ceramide-augmented models to classify clinical insulin resistance (TyG ≥ 9).
• Analyzing the robustness of biomarker associations to unmeasured confounding.

Strengths

• Data is from a multicenter prospective cohort of 987 patients with established coronary artery disease.
• Analysis includes multiple complementary frameworks (Mixed Graphical Models and Double Machine Learning).
• Specific association metrics are provided, such as a partial r=0.23 for Cer24:0 and TyG.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The data is contained in a DOC file format, which may require conversion for analysis.

Provenance

Source

figshare, author Shuanli Xin.

Collection Method

Data likely collected from a prospective, multicenter observational cohort study.

Time Range

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Freshness

Last updated 2026-03-18 07:39:09; freshness should be verified.

Geography

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