Phenotypic Variation of Insulin Resistance among Polycystic Ovarian Syndrome Patients in Semiurban North Indian PopulationCorrespondence Address :
Assistant Professor, Department of Biochemistry, Mayo Institute of Medical Sciences, Faizabad Road, Gadia, Barabanki, Uttar Pradesh, India.
Introduction: Polycystic Ovarian Syndrome (PCOS) is a common endocrine disorder in the women of reproductive age. Studies show that there is an intensive relationship between insulin and gonadal function. As per Rotterdam Criteria, there are four major phenotypes of PCOS with different presentation. Early detection of Insulin Resistance (IR) and consequential prevention of Metabolic Syndrome (MS) associated with PCOS may lead to better prospect for the disease.
Aim: To find the pattern of IR in all the phenotypes of PCOS in relation to Waist Hip Ratio (WHR), Body Mass Index (BMI) and Testosterone and thereby, providing data for designing phenotype specific treatment of the disease.
Materials and Methods: In this cross-sectional observational study, fasting insulin and fasting glucose were analysed to calculate Homeostasis Model Assessment (HOMA-IR) and Testosterone for total 144 female subjects of reproductive age group (18-40 years). Subjects were classified in to four groups as per Rotterdam Criteria. Complete PCOS (PCOCOM), PCO with Oligo/Anovulation (PCO-O), Anovulation with Hyperandrogenism (O-HA), and PCO with Hyperandrogenism (PCO-HA). Regression analysis was done to find the relation among the study variables. Analysis of Variance (ANOVA) was used to analyse the significant variance among the groups.
Results: IR was found to be maximum among O-HA phenotype (2.4±0.37) and lowest among PCO-HA phenotypes (1.3±0.22). Regression analysis shows that there exist significant associations between IR and BMI (t=4.96, p=0.001) as well as between IR and WHR (t=2.97, p=0.003). No independent association between testosterone and IR was observed.
Conclusion: Significant difference of IR, WHR, and BMI was observed among the four phenotypes of PCOS. Due to increased IR, O-HA and PCO-COM phenotypes are more predisposed to Cardiometabolic consequences of PCOS.
Body mass index, Metabolic syndrome, Testosterone
Date of Submission: Mar 07, 2021
Date of Peer Review: Apr 02, 2021
Date of Acceptance: May 19, 2021
Date of Publishing: Jun 01, 2021
• Financial or Other Competing Interests: None
• Was Ethics Committee Approval obtained for this study? Yes
• Was informed consent obtained from the subjects involved in the study? Yes
• For any images presented appropriate consent has been obtained from the subjects. NA
PLAGIARISM CHECKING METHODS: [Jain H et al.]
• Plagiarism X-checker: Mar 09, 2021
• Manual Googling: May 17, 2021
• iThenticate Software: May 27, 2021 (9%)
Etymology: Author Origin
- Emerging Sources Citation Index (Web of Science, thomsonreuters)
- Index Copernicus ICV 2017: 134.54
- Academic Search Complete Database
- Directory of Open Access Journals (DOAJ)
- Google Scholar
- HINARI Access to Research in Health Programme
- Indian Science Abstracts (ISA)
- Journal seek Database
- Popline (reproductive health literature)