Liver-Heart Metabolic Axis in Type 2 Diabetes, 41 Individuals

Queralt Martín-Saladich's dataset from figshare explores tissue-specific insulin sensitivity in the liver-heart axis for type 2 diabetes. It contains data from a cross-sectional study of 41 individuals with controlled T2D, who underwent biochemical tests and PET/CT scans during a hyperinsulinemic clamp. The dataset was last updated on March 19, 2026.

Use Cases

• Identify liver-heart metabolic phenotypes based on PET-derived glucose uptake data.
• Associate tissue-specific insulin resistance with risks for MASLD and cardiovascular disease.
• Validate systemic biomarkers like HOMA-IR against organ-level dysfunction.
• Correlate liver fat accumulation and coronary artery calcifications with metabolic impairment.
• Support personalized treatment strategy development for type 2 diabetes based on risk profiles.

Strengths

• Data is derived from a controlled clinical study using PET/CT imaging and hyperinsulinemic clamp, a gold-standard method.
• The analysis defines three distinct metabolic phenotypes with clear risk profiles for comorbidities.
• Includes a strong inverse correlation statistic (r=-0.74, p=2×10⁻⁷) between myocardial and liver glucose uptake.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (18.9 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Cross-sectional study involving biochemical tests and [18F]FDG PET/CT scans before and after a hyperinsulinemic euglycemic clamp.

Freshness

Last updated 2026-03-19 05:17:38; freshness should be verified.