Association of the combined triglyceride glucose-body mass index and serum IQGAP3 in appraising coronary lesion severity in type 2 diabetes - Summary - MDSpire

Association of the combined triglyceride glucose-body mass index and serum IQGAP3 in appraising coronary lesion severity in type 2 diabetes

  • By

  • YuRong Sun

  • Jingsi Zhang

  • Yi Lu

  • Yeting Chang

  • Yanchun Ding

  • July 2, 2026

  • 0 min

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Objective:

To investigate the association between serum IQGAP3 levels and coronary lesion severity, and to evaluate the diagnostic value of combining IQGAP3 with the triglyceride glucose-body mass index (TyG-BMI) in patients with type 2 diabetes mellitus (T2DM).

Approach:
  • Study Design: Prospective study enrolling T2DM patients undergoing coronary angiography.
  • Measurements: Serum IQGAP3 levels measured by enzyme-linked immunosorbent assay; TyG-BMI calculated using routine clinical parameters.
  • Assessment of Coronary Lesion Severity: Coronary lesion severity assessed using the Gensini score and categorized by tertiles.
  • Statistical Analysis: Multivariable logistic regression, restricted cubic spline analyses, ROC curves, NRI, and IDI used to assess model performance.
Key Findings:
  • Serum IQGAP3 levels and TyG-BMI significantly increased across Gensini score tertiles (P< 0.05).
  • Both IQGAP3 (OR = 3.119, 95% CI: 2.049–4.747, P< 0.001) and TyG-BMI (OR = 1.012, 95% CI: 1.003–1.021, P = 0.006) were independently associated with severe coronary stenosis.
  • Adding TyG-BMI to traditional risk factors improved discrimination (AUC: 0.702 vs. 0.753; P< 0.001).
  • Incorporating IQGAP3 further increased AUC to 0.803 and improved reclassification (NRI = 0.307, IDI = 0.138; P< 0.001).
  • Age modified the association between IQGAP3 and severe coronary stenosis (Pinteraction = 0.036), with stronger effects in patients younger than 65 years.
Interpretation:

Limitations:
  • The study is limited to a single center and may not be generalizable to all populations.
  • The observational design limits causal inferences.
Conclusion:

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