Lipid Subclass Profiles in Type 1 Diabetes and Control Subjects

Plasma analysis from 69 individuals with long-standing type 1 diabetes and 24 healthy controls. The dataset contains measurements of small dense LDL cholesterol, LDL particle size, and related apolipoprotein and enzyme activities. The study was authored by Helena Sardà and shared on figshare in 2026.

Use Cases

• Classify diabetes status using sdLDL-C concentration, LDL particle size, and ApoC3 levels.
• Model the correlation between sdLDL-C and ApoC3 (r = 0.7517) or CETP activity (r = -0.2682).
• Compare distributions of key biomarkers like hepatic lipase activity and sdLDL-C/LDL-cholesterol ratio between patient and control groups.
• Analyze the relationship between glycemic control (HbA1c) and atherogenic lipid profiles despite near-normal conventional lipid levels.

Strengths

• Contains multi-method characterization data from 93 total subjects (69 patients, 24 controls).
• Reports specific statistical correlations (e.g., r = 0.7517 between sdLDL-C and ApoC3).
• Includes precise mean and standard deviation values for over 10 key biomarkers.

Limitations

• Small sample size of 93 subjects limits statistical power for subgroup analysis.
• Cross-sectional design prevents analysis of longitudinal changes or causality.
• Geographic and demographic origins of the cohort are not specified, which may limit generalizability.

Provenance

Source

Helena Sardà, shared via figshare.

Collection Method

Cross-sectional observational study using homogeneous assays, NMR spectroscopy, gradient gel electrophoresis, immunoturbidimetric, ELISA, and functional assays on plasma samples.

Freshness

Last updated in April 2026.