Synapse
⌘+K
Synapse
PulseExploreJournal ClubResearchersJournals
Instagram
HomeJournal ClubExplore
April 8, 2026Diabetology InternationalOpen Access

Anthropometry-adjusted TyG indices improve insulin resistance estimation: an exploratory euglycemic–hyperinsulinemic clamp study in Japanese adults without diabetes

View Full Paper
Ask AI
Bookmark
Share

Why the study?

Do anthropometry-adjusted TyG-derived indices improve the estimation of insulin resistance compared to conventional markers in Japanese adults without diabetes?

Population

61 Japanese adults without diabetes

Comparison

Anthropometry-adjusted triglyceride-glucose-deriv… vs Homeostasis Model Assessment of Insulin…

Design

Cross-sectional

Key result

Anthropometry-adjusted TyG-derived indices, particularly TyG-WHtR (AUC 0.829) and TyG-BMI (AUC 0.810), demonstrated superior diagnostic performance for identifying insulin resistance compared to HOMA-IR.

Authors

NONatsu Otowa-SuematsuTNTomoaki NakamuraHMHiroshi Miura

Discussion

Loading...

Member takes

Overview

Anthropometry-adjusted TyG indices, specifically TyG-BMI and TyG-WHtR, are practical and accurate surrogate markers for insulin resistance in adults without diabetes.

Key Points

  • The study aims to evaluate the accuracy of anthropometry-adjusted TyG indices for estimating insulin resistance in Japanese adults without diabetes.
  • 61 Japanese adults without diabetes underwent insulin sensitivity assessment using the euglycemic–hyperinsulinemic clamp.
  • Insulin resistance was defined using the insulin sensitivity index below the 25th percentile.
  • Surrogate insulin resistance indices were calculated, including HOMA-IR and adjusted TyG indices.
  • Correlations between these indices and the insulin sensitivity index were evaluated using Spearman’s rank correlation.
  • Diagnostic performance was compared using ROC analysis and pairwise DeLong tests.
  • TyG-BMI and TyG-WHtR demonstrated stronger associations with insulin sensitivity index than HOMA-IR.
  • TyG-BMI and TyG-WHtR had AUCs of 0.810 and 0.829, respectively, for identifying insulin resistance.
  • The optimal cutoff value for HOMA-IR was around 2.5, while TyG-BMI's optimal cutoff was 203.7.
  • The anthropometry-adjusted indices showed higher diagnostic performance than conventional markers.

Study Design

Type

Cross-Sectional (n=61)

Multicenter

No

Structured PICO

Do anthropometry-adjusted TyG-derived indices improve the estimation of insulin resistance compared to conventional markers in Japanese adults without diabetes?

P
Population
61 Japanese adults without diabetes
I
Intervention
Anthropometry-adjusted triglyceride-glucose (TyG)-derived indices (TyG-BMI, TyG-WC, TyG-WHtR)
C
Comparator
Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and the original TyG index
O
Outcome
Diagnostic accuracy for identifying insulin resistance (defined as insulin sensitivity index below the 25th percentile on euglycemic-hyperinsulinemic clamp)surrogate

Main Result

Effect estimate: AUC 0.829 (95% CI 0.707-0.932)

Absolute Event Rate: 0.829% vs 0.667%

p-value: p=<0.001

Anthropometry-adjusted TyG indices, specifically TyG-BMI and TyG-WHtR, are practical and accurate surrogate markers for insulin resistance in adults without diabetes.

Limitations

  • Discriminative ability is partly influenced by adiposity due to incorporated anthropometric components.
  • Relatively small sample size limits statistical power for cutoff estimation.
  • Small number of female participants limits the reliability of sex-specific analyses.
  • Key determinants of insulin resistance like visceral fat area, adipokines, and lifestyle factors were not evaluated.

Cite This Study

Otowa-Suematsu et al. (2026) conducted a cross-sectional in Insulin resistance in adults without diabetes (n=61). Anthropometry-adjusted TyG indices (TyG-BMI, TyG-WHtR) vs. HOMA-IR and original TyG index was evaluated on Diagnostic accuracy (AUC) for identifying clamp-defined insulin resistance (AUC 0.829, 95% CI 0.707-0.932, p=<0.001). Anthropometry-adjusted TyG-derived indices, particularly TyG-WHtR (AUC 0.829) and TyG-BMI (AUC 0.810), demonstrated superior diagnostic performance for identifying insulin resistance compared to HOMA-IR.

synapsesocial.com/papers/69d5efd374eaea4b11a79640https://doi.org/10.1007/s13340-026-00883-9
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Beyond HOMA-IR: Comparative Evaluation of Insulin Resistance and Anthropometric Indices Across Prediabetes and Type 2 Diabetes Mellitus in Metabolic Syndrome Patients2025
  2. 2TRIGLYCERIDE-GLUCOSE INDEX: A POTENTIAL SURROGATE FOR INSULIN RESISTANCE IN PREDICTING THE RISK OF DIABETIC NEPHROPATHY2025
  3. 3Comparison of nine insulin resistance surrogates for predicting cardiovascular disease: a cohort study2025
  4. 4Association of surrogate indices of insulin resistance with hypertension: a cross-sectional analysis from PERSIAN Dena cohort study (PDCS)2025
  5. 5Research status of triglyceride glucose-body mass index (TyG-BMI index)2025