Home|Journals|Articles by Year Follow on Twitter

Directory for Medical Articles
 

Open Access

Original Research

Natl J Med Res. 2011; 1(2): 37-41


ANALYSIS OF INSULIN RESISTANCE IN VARIOUS COMPONENTS OF METABOLIC SYNDROME

Pankaj Maheria, Deepak Parchwani, Amit Upadhyay, Manoj Kumar Sharma.

Abstract
Metabolic syndrome is a collection of health risks that increases chances of developing heart disease. The constellation of metabolic abnormalities includes glucose intolerance, central obesity, dyslipidemia, and hypertension. These conditions can occur in an individual more often than might be expected by chance. The aim of this study was to analyze the insulin resistance measured as Homeostasis model assessment of insulin resistance (HOMA-IR) in different variables of metabolic syndrome. In univariate analyses, insulin resistance was related to hypertension, low HDL-cholesterol, increased triglyceride concentration and diabetes, however, no relation of insulin resistance with LDL or total cholesterol could be established. Insulin resistance was found to be significantly higher in subjects with increase in number of risk factors of metabolic syndrome. According to HOMA-IR index all the diabetic subjects were insulin resistant. Even hypertensive, obese and first degree relative of diabetics was insulin resistant without having diabetes or impaired glucose tolerance. Maximum insulin resistance was observed in patients of T2DM with obesity, hypertension and microalbuminuria i.e. patients with multiple metabolic abnormalities. These results support the existence of metabolic syndrome and the relationship of that syndrome to multiple metabolic disorders by showing a strong association between insulin resistance and Syndrome X and suggest that hyperinsulinemia/insulin resistant may be the unifying pathophysiology underlying the syndrome.

Key words: Insulin resistance, Hyperinsulinemia, Metabolic syndrome



Similar Articles

Chemometric analysis of the global pattern of volatile organic compounds in the exhaled breath of patients with COVID-19, post-COVID and healthy subjects. Proof of concept for post-COVID assessment.
Zamora-Mendoza BN, Díaz de León-Martínez L, Rodríguez-Aguilar M, Mizaikoff B, Flores-Ramírez R
Talanta. 2022; 236(): 122832

Hyperglycemia in acute ischemic stroke: physiopathological and therapeutic complexity.
Ferrari F, Moretti A, Villa RF
Neural regeneration research. 2022; 17(2): 292-299

A UHPLC/MS/MS method for the analysis of active and inactive forms of GLP-1 and GIP incretins in human plasma.
Villaño D, Zafrilla P, García-Viguera C, Domínguez-Perles R
Talanta. 2022; 236(): 122806

Understanding the Mechanisms of Gravity Resistance in Plants.
Soga K, Yano S, Kamada M, Matsumoto S, Hoson T
Methods in molecular biology (Clifton, N.J.). 2022; 2368(): 267-279

Clinical Evaluation of the Rapid STANDARD Q COVID-19 Ag Test for the Screening of Severe Acute Respiratory Syndrome Coronavirus 2.
Kim HW, Park M, Lee JH
Annals of laboratory medicine. 2022; 42(1): 100-104


Full-text options


Latest Statistics about COVID-19
• pubstat.org


Add your Article(s) to Indexes
• citeindex.org






Covid-19 Trends and Statistics
ScopeMed.com
CiteIndex.org
CancerLine
FoodsLine
PhytoMedline
Follow ScopeMed on Twitter
Author Tools
eJPort Journal Hosting
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
ScopeMed is a Database Service for Scientific Publications. Copyright ScopeMed Information Services.



ScopeMed Web Sites