Alpha Cell Dysfunction in Type 2 Diabetes: Patient OGTT Data from Tianjin

Lina Chang's dataset contains clinical measurements from 247 patients with type 2 diabetes treated at Tianjin Medical University General Hospital between October 2022 and March 2025. All patients underwent a 75g oral glucose tolerance test (OGTT) with blood samples collected at five time points for glucose, insulin, C-peptide, and glucagon measurement. The data was used to examine associations between insulin resistance, impaired insulin secretion, and hyperglucagonemia.

Use Cases

• Modeling the relationship between insulin resistance indices (HomaIR, Matsuda index) and glucagon levels based on OGTT time-series data.
• Investigating the mediating role of insulin secretion metrics (C-peptide AUC, HomaB) on glucagon dynamics.
• Validating statistical models for clinical data using residual diagnostics and bootstrapped confidence intervals as described.
• Comparing glucagon suppression patterns between patient subgroups stratified by insulin sensitivity or secretion quartiles.

Strengths

• Includes data from 247 patients, providing a substantive cohort for analysis.
• Contains multi-timepoint measurements (0, 0.5, 1, 2, 3 hours) for four key biomarkers during an OGTT.
• Dataset is licensed under CC-BY-4.0, allowing for broad reuse and sharing.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain modeling tasks.
• Data reflects a single-center study from Tianjin, China, which may limit generalizability.

Provenance

Source

Lina Chang via figshare.

Collection Method

Retrospective analysis of patient records from Tianjin Medical University General Hospital.

Time Range

October 2022 to March 2025.

Freshness

Last updated 2026-05-13 07:57:50; freshness should be verified.

Geography

Tianjin, China.