Literature DB >> 33881177

Triglyceride/High-Density Lipoprotein Cholesterol Ratio: A Clue to Metabolic Syndrome, Insulin Resistance, and Severe Atherosclerosis.

M Reza Azarpazhooh1,2,3, Farid Najafi4,5, Mitra Darbandi4, Soushyant Kiarasi1,3, Temilola Oduyemi1, J David Spence1,2.   

Abstract

High serum levels of triglycerides (Tg) and low levels of high-density lipoprotein cholesterol (HDL-C) are characteristic of the Metabolic Syndrome (MetS). We assessed the ratio of Tg to HDL-C as a way to identify MetS and insulin resistance. We also evaluated its association with severity of carotid atherosclerosis. Data were analyzed from three cohorts totaling 13,908 participants. MetS was defined according to the International Diabetes Federation criteria. Optimal cut-off for Tg/HDL-C ratio was obtained using Youden's index in receiver-operating characteristic (ROC) curve analyses. The risk of MetS and IR in those with a Tg/HDL-C ratio above the optimum cutoff was evaluated by logistic regression analysis. A Tg/HDL-C ratio above the optimal cutoff level significantly increased the odds ratio for MetS in the three cohorts (OR 6.00, 4.04, and 3.50, least in the healthy population), identified insulin resistance defined by the homeostatic model of insulin resistance (HOMA-IR) (p < 0.0001), and was strongly associated with atherosclerosis severity (p = 0.0001). Tg/HDL-C ratio identifies persons with MetS, insulin resistance, and severe atherosclerosis. It should be used more widely to identify patients at high risk. This is clinically important because insulin resistance is treatable.
© 2021 AOCS.

Entities:  

Keywords:  High-density lipoprotein; Insulin resistance; Lipid profile; Metabolic syndrome; ROC curve analysis, atherosclerosis; Triglycerides

Mesh:

Substances:

Year:  2021        PMID: 33881177     DOI: 10.1002/lipd.12302

Source DB:  PubMed          Journal:  Lipids        ISSN: 0024-4201            Impact factor:   1.880


  5 in total

1.  Identification of Insulin Resistance Biomarkers in Metabolic Syndrome Detected by UHPLC-ESI-QTOF-MS.

Authors:  Leen Oyoun Alsoud; Nelson C Soares; Hamza M Al-Hroub; Muath Mousa; Violet Kasabri; Nailya Bulatova; Maysa Suyagh; Karem H Alzoubi; Waseem El-Huneidi; Bashaer Abu-Irmaileh; Yasser Bustanji; Mohammad H Semreen
Journal:  Metabolites       Date:  2022-06-01

2.  Association of blood lipids with coronary artery plaque among Saudi patients referred to computed tomography.

Authors:  Sumaya Al Helali; Muhammad Abid Hanif; Ahmad Al Majed; Nura Alshugair; Abdullah Belfageih; Hamad Al Qahtani; Sameer Al Dulikan
Journal:  BMC Cardiovasc Disord       Date:  2022-06-03       Impact factor: 2.174

Review 3.  Pathophysiological Link between Insulin Resistance and Adrenal Incidentalomas.

Authors:  Jordan A Higgs; Alyssa P Quinn; Kevin D Seely; Zeke Richards; Shad P Mortensen; Cody S Crandall; Amanda E Brooks
Journal:  Int J Mol Sci       Date:  2022-04-14       Impact factor: 6.208

4.  Comparing the Metabolic Profiles Associated with Fitness Status between Insulin-Sensitive and Insulin-Resistant Non-Obese Individuals.

Authors:  Shamma AlMuraikhy; Najeha Anwardeen; Aisha Naeem; Maha Sellami; Alexander Domling; Abdelali Agouni; Mohamed A Elrayess
Journal:  Int J Environ Res Public Health       Date:  2022-09-26       Impact factor: 4.614

5.  Visceral adiposity index and atherogenic index of plasma as useful predictors of risk of cardiovascular diseases: evidence from a cohort study in Iran.

Authors:  Behrooz Hamzeh; Yahya Pasdar; Narmin Mirzaei; Roya Safari Faramani; Farid Najafi; Ebrahim Shakiba; Mitra Darbandi
Journal:  Lipids Health Dis       Date:  2021-08-01       Impact factor: 3.876

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.