Evaluating indices of insulin resistance and estimating the prevalence of insulin resistance in a large biobank cohort
IntroductionInsulin resistance (IR) is involved in the pathogenesis of various metabolic disorders. Several surrogate indices of IR have been proposed. We assessed the performance of seven clinically relevant indirect measures of IR and estimated the prevalence of IR in a large population-based coho...
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Frontiers Media S.A.
2025-05-01
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| Series: | Frontiers in Endocrinology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2025.1591677/full |
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| author | Usama Aliyu Salman M. Toor Ibrahem Abdalhakam Mohamed A. Elrayess Mohamed A. Elrayess Abdul Badi Abou−Samra Omar M. E. Albagha Omar M. E. Albagha |
| author_facet | Usama Aliyu Salman M. Toor Ibrahem Abdalhakam Mohamed A. Elrayess Mohamed A. Elrayess Abdul Badi Abou−Samra Omar M. E. Albagha Omar M. E. Albagha |
| author_sort | Usama Aliyu |
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| description | IntroductionInsulin resistance (IR) is involved in the pathogenesis of various metabolic disorders. Several surrogate indices of IR have been proposed. We assessed the performance of seven clinically relevant indirect measures of IR and estimated the prevalence of IR in a large population-based cohort.MethodsThe study was conducted on fasting individuals from the Qatar biobank (QBB) participants (n = 7,875). Individuals were considered insulin sensitive (IS) if lean, not diagnosed with diabetes, no hypertriglyceridemia, and not on lipid-lowering drugs, while individuals with Type 2 diabetes (T2D) were considered insulin resistant (IR). Cut-offs were determined as the top or lowest quartile values in the IS participants. The performance of IR indices was based on area under the curve (AUC), sensitivity and specificity.ResultsThe cut-off for HOMA-IR was determined at 1.878, HOMA2-IR (insulin); 1.128, HOMA2-IR (C-peptide); 1.307, QUICKI; 0.347, TyG; 8.281, McAi; 7.727 and 1.718 for TG/HDL. All IR indices analyzed yielded AUC values ranging from 0.83 to 0.92. TyG was the most robust measure for IR (AUC = 0.92, Sensitivity = 0.90, Specificity = 0.79). The overall prevalence of IR in Qatar was estimated at ~51 – 65%.ConclusionsTyG index was the most robust index for determining IR in the Qatari population. The proposed cut-offs could serve as a reference in Middle Eastern populations for IR screening. |
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| institution | Kabale University |
| issn | 1664-2392 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Endocrinology |
| spelling | doaj-art-2d934a209064463293ce56c096bfa0392025-08-20T03:53:12ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922025-05-011610.3389/fendo.2025.15916771591677Evaluating indices of insulin resistance and estimating the prevalence of insulin resistance in a large biobank cohortUsama Aliyu0Salman M. Toor1Ibrahem Abdalhakam2Mohamed A. Elrayess3Mohamed A. Elrayess4Abdul Badi Abou−Samra5Omar M. E. Albagha6Omar M. E. Albagha7College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, QatarCollege of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, QatarQatar Metabolic Institute, Hamad Medical Corporation (HMC), Doha, QatarBiomedical Research Center, QU Health, Qatar University, Doha, QatarCollege of Medicine, QU Health, Qatar University, Doha, QatarQatar Metabolic Institute, Hamad Medical Corporation (HMC), Doha, QatarCollege of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, QatarCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United KingdomIntroductionInsulin resistance (IR) is involved in the pathogenesis of various metabolic disorders. Several surrogate indices of IR have been proposed. We assessed the performance of seven clinically relevant indirect measures of IR and estimated the prevalence of IR in a large population-based cohort.MethodsThe study was conducted on fasting individuals from the Qatar biobank (QBB) participants (n = 7,875). Individuals were considered insulin sensitive (IS) if lean, not diagnosed with diabetes, no hypertriglyceridemia, and not on lipid-lowering drugs, while individuals with Type 2 diabetes (T2D) were considered insulin resistant (IR). Cut-offs were determined as the top or lowest quartile values in the IS participants. The performance of IR indices was based on area under the curve (AUC), sensitivity and specificity.ResultsThe cut-off for HOMA-IR was determined at 1.878, HOMA2-IR (insulin); 1.128, HOMA2-IR (C-peptide); 1.307, QUICKI; 0.347, TyG; 8.281, McAi; 7.727 and 1.718 for TG/HDL. All IR indices analyzed yielded AUC values ranging from 0.83 to 0.92. TyG was the most robust measure for IR (AUC = 0.92, Sensitivity = 0.90, Specificity = 0.79). The overall prevalence of IR in Qatar was estimated at ~51 – 65%.ConclusionsTyG index was the most robust index for determining IR in the Qatari population. The proposed cut-offs could serve as a reference in Middle Eastern populations for IR screening.https://www.frontiersin.org/articles/10.3389/fendo.2025.1591677/fullinsulin resistancetype 2 diabetesHOMA-IRTyG indexpopulation study |
| spellingShingle | Usama Aliyu Salman M. Toor Ibrahem Abdalhakam Mohamed A. Elrayess Mohamed A. Elrayess Abdul Badi Abou−Samra Omar M. E. Albagha Omar M. E. Albagha Evaluating indices of insulin resistance and estimating the prevalence of insulin resistance in a large biobank cohort Frontiers in Endocrinology insulin resistance type 2 diabetes HOMA-IR TyG index population study |
| title | Evaluating indices of insulin resistance and estimating the prevalence of insulin resistance in a large biobank cohort |
| title_full | Evaluating indices of insulin resistance and estimating the prevalence of insulin resistance in a large biobank cohort |
| title_fullStr | Evaluating indices of insulin resistance and estimating the prevalence of insulin resistance in a large biobank cohort |
| title_full_unstemmed | Evaluating indices of insulin resistance and estimating the prevalence of insulin resistance in a large biobank cohort |
| title_short | Evaluating indices of insulin resistance and estimating the prevalence of insulin resistance in a large biobank cohort |
| title_sort | evaluating indices of insulin resistance and estimating the prevalence of insulin resistance in a large biobank cohort |
| topic | insulin resistance type 2 diabetes HOMA-IR TyG index population study |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2025.1591677/full |
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