Insulin resistance (IR) is an independent risk factor for type 2 diabetes mellitus (T2DM). Because only triglyceride levels and fasting blood glucose are required to measure the triglyceride-glucose (TyG) index, and the insulin test, which is used in the homeostatic model assessment of insulin resistance (HOMA-IR) calculation, is costly and unavailable in the majority of laboratories in the cities of developing countries. Thus, the goal of our study was compared the predictive power of HOMA-IR and the TyG index for assessing IR, as well as the incidence and prevalence of T2DM. Methods: From January 2025 to July 2025, a cross-sectional study was carried out at Aulaqi Specialized Med. Lab. Several risk factors were evaluated among 215 participants, 110 of whom had T2DM and 105 of whom without diabetes. The following analysis data were collected; high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), triglycerides (TG), fasting blood glucose (FBG), HBA1c, C-peptide, TyG index and HOMA-IR. The results of the statistical test were considered significant if the P value>0.05. Results: The T2DM participants had higher mean TyG index (4.87 ± 0.32 vs. 4.66 ± 0.31, P<0.001) and HOMA-IR (3.07 ± 1.99 vs. 2.32 ± 1.07, P=0.001) values than non-diabetes. In the receiver operating characteristic (ROC) analysis, the TyG index demonstrated a better performance [area under the curve (AUC) 0.832), with 76.7% sensitivity and 73.8% specificity] in predicting T2DM compared to HOMA-IR (AUC 0.700), which had 67.0% sensitivity and 66.7% specificity (P<0.001). Conclusion: The TyG index correlates with HOMA-IR and outperforms it in terms of T2DM detection and prediction, furthermore, the TyG index regarded as useful and valuable surrogate for estimating IR and for predicting T2DM in individuals who appear to be healthy.
| Published in | American Journal of Laboratory Medicine (Volume 11, Issue 1) |
| DOI | 10.11648/j.ajlm.20261101.12 |
| Page(s) | 9-15 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2026. Published by Science Publishing Group |
HOMA-IR, TyG Index, Type 2 Diabetes Mellitus, Insulin Resistance, Diabetes Prediction
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APA Style
Hajar, M. A., Ahmed, S. S., Abdulfattah, B. M. (2026). Triglyceride Glucose Index Is More Robust Surrogate Biomarker for Predicting Type 2 Diabetes Mellitus Than HOMA-IR in Population Attending Aulaqi Specialized Medical Laboratories, Yemen. American Journal of Laboratory Medicine, 11(1), 9-15. https://doi.org/10.11648/j.ajlm.20261101.12
ACS Style
Hajar, M. A.; Ahmed, S. S.; Abdulfattah, B. M. Triglyceride Glucose Index Is More Robust Surrogate Biomarker for Predicting Type 2 Diabetes Mellitus Than HOMA-IR in Population Attending Aulaqi Specialized Medical Laboratories, Yemen. Am. J. Lab. Med. 2026, 11(1), 9-15. doi: 10.11648/j.ajlm.20261101.12
AMA Style
Hajar MA, Ahmed SS, Abdulfattah BM. Triglyceride Glucose Index Is More Robust Surrogate Biomarker for Predicting Type 2 Diabetes Mellitus Than HOMA-IR in Population Attending Aulaqi Specialized Medical Laboratories, Yemen. Am J Lab Med. 2026;11(1):9-15. doi: 10.11648/j.ajlm.20261101.12
@article{10.11648/j.ajlm.20261101.12,
author = {Mohammed Ahmed Hajar and Sami Sultan Ahmed and Basem Mohammed Abdulfattah},
title = {Triglyceride Glucose Index Is More Robust Surrogate Biomarker for Predicting Type 2 Diabetes Mellitus Than HOMA-IR in Population Attending Aulaqi Specialized Medical Laboratories, Yemen},
journal = {American Journal of Laboratory Medicine},
volume = {11},
number = {1},
pages = {9-15},
doi = {10.11648/j.ajlm.20261101.12},
url = {https://doi.org/10.11648/j.ajlm.20261101.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajlm.20261101.12},
abstract = {Insulin resistance (IR) is an independent risk factor for type 2 diabetes mellitus (T2DM). Because only triglyceride levels and fasting blood glucose are required to measure the triglyceride-glucose (TyG) index, and the insulin test, which is used in the homeostatic model assessment of insulin resistance (HOMA-IR) calculation, is costly and unavailable in the majority of laboratories in the cities of developing countries. Thus, the goal of our study was compared the predictive power of HOMA-IR and the TyG index for assessing IR, as well as the incidence and prevalence of T2DM. Methods: From January 2025 to July 2025, a cross-sectional study was carried out at Aulaqi Specialized Med. Lab. Several risk factors were evaluated among 215 participants, 110 of whom had T2DM and 105 of whom without diabetes. The following analysis data were collected; high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), triglycerides (TG), fasting blood glucose (FBG), HBA1c, C-peptide, TyG index and HOMA-IR. The results of the statistical test were considered significant if the P value>0.05. Results: The T2DM participants had higher mean TyG index (4.87 ± 0.32 vs. 4.66 ± 0.31, P<0.001) and HOMA-IR (3.07 ± 1.99 vs. 2.32 ± 1.07, P=0.001) values than non-diabetes. In the receiver operating characteristic (ROC) analysis, the TyG index demonstrated a better performance [area under the curve (AUC) 0.832), with 76.7% sensitivity and 73.8% specificity] in predicting T2DM compared to HOMA-IR (AUC 0.700), which had 67.0% sensitivity and 66.7% specificity (P<0.001). Conclusion: The TyG index correlates with HOMA-IR and outperforms it in terms of T2DM detection and prediction, furthermore, the TyG index regarded as useful and valuable surrogate for estimating IR and for predicting T2DM in individuals who appear to be healthy.},
year = {2026}
}
TY - JOUR T1 - Triglyceride Glucose Index Is More Robust Surrogate Biomarker for Predicting Type 2 Diabetes Mellitus Than HOMA-IR in Population Attending Aulaqi Specialized Medical Laboratories, Yemen AU - Mohammed Ahmed Hajar AU - Sami Sultan Ahmed AU - Basem Mohammed Abdulfattah Y1 - 2026/01/16 PY - 2026 N1 - https://doi.org/10.11648/j.ajlm.20261101.12 DO - 10.11648/j.ajlm.20261101.12 T2 - American Journal of Laboratory Medicine JF - American Journal of Laboratory Medicine JO - American Journal of Laboratory Medicine SP - 9 EP - 15 PB - Science Publishing Group SN - 2575-386X UR - https://doi.org/10.11648/j.ajlm.20261101.12 AB - Insulin resistance (IR) is an independent risk factor for type 2 diabetes mellitus (T2DM). Because only triglyceride levels and fasting blood glucose are required to measure the triglyceride-glucose (TyG) index, and the insulin test, which is used in the homeostatic model assessment of insulin resistance (HOMA-IR) calculation, is costly and unavailable in the majority of laboratories in the cities of developing countries. Thus, the goal of our study was compared the predictive power of HOMA-IR and the TyG index for assessing IR, as well as the incidence and prevalence of T2DM. Methods: From January 2025 to July 2025, a cross-sectional study was carried out at Aulaqi Specialized Med. Lab. Several risk factors were evaluated among 215 participants, 110 of whom had T2DM and 105 of whom without diabetes. The following analysis data were collected; high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), triglycerides (TG), fasting blood glucose (FBG), HBA1c, C-peptide, TyG index and HOMA-IR. The results of the statistical test were considered significant if the P value>0.05. Results: The T2DM participants had higher mean TyG index (4.87 ± 0.32 vs. 4.66 ± 0.31, P<0.001) and HOMA-IR (3.07 ± 1.99 vs. 2.32 ± 1.07, P=0.001) values than non-diabetes. In the receiver operating characteristic (ROC) analysis, the TyG index demonstrated a better performance [area under the curve (AUC) 0.832), with 76.7% sensitivity and 73.8% specificity] in predicting T2DM compared to HOMA-IR (AUC 0.700), which had 67.0% sensitivity and 66.7% specificity (P<0.001). Conclusion: The TyG index correlates with HOMA-IR and outperforms it in terms of T2DM detection and prediction, furthermore, the TyG index regarded as useful and valuable surrogate for estimating IR and for predicting T2DM in individuals who appear to be healthy. VL - 11 IS - 1 ER -