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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2024CD36 gene variant rs1761667(G/A) as a biomarker in obese type 2 diabetes mellitus cases4citations
  • 2022Risk prediction of type 2 diabetes mellitus (T2DM) in Indian families using antioxidant gene variantscitations

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Singh, Shalini
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2022

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  • Singh, Shalini
  • Shukla, Ashwin Kumar
  • Shamsad, Amreen
  • Vats, Pushpank
  • Banerjee, Monisha
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article

CD36 gene variant rs1761667(G/A) as a biomarker in obese type 2 diabetes mellitus cases

  • Usman, Kauser
  • Singh, Shalini
  • Shukla, Ashwin Kumar
  • Shamsad, Amreen
Abstract

<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Several reports discussed a connection between CD36 genotypes associated with obesity, influencing the development of Type 2 diabetes mellitus (T2DM). Therefore, this study examines the prognostic value of CD36 polymorphism rs1761667 (G/A) in individuals with obese T2DM. The investigation also explores the correlation between this genetic variation and the clinical/biochemical parameters of the subjects.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Blood samples of a total of 475 subjects from north India were collected from the outpatient unit (OPD), Department of Medicine, KGMU, Lucknow as per inclusion/exclusion criteria. Anthropometric details of study subjects were recorded and biochemical parameters were estimated in 250 T2DM cases, 75 obese T2DM cases, and 150 controls. The CD36 gene variant rs1761667 (G/A) was subject to genotypic analysis using the polymerase chain reaction-restriction fragment length polymorphism (PCR–RFLP) method, utilizing specific primers and <jats:italic>HhaI</jats:italic> enzyme. All statistical analysis was done using SPSS (ver. 21.0) and Prism (5.01) software.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Fasting plasma glucose (FPG), systolic blood pressure (SBP), post-prandial glucose (PPG) were significant in T2DM subjects. Lipid profile such as Total Cholesterol (TC), Low-Density Lipoprotein (LDL) and Very Low-Density Lipoprotein (VLDL) were also found significantly associated with obese T2DM cases. GA and AA genotypes of rs1761667 (G/A) showed significant associations in obese T2DM cases. The GA genotype demonstrated a considerable association (<jats:italic>P</jats:italic> &lt; 0.001) with a 2.77-fold increased susceptibility to the high risk of T2DM. The AA genotype was found to be significantly associated (<jats:italic>P</jats:italic> = 0.008) with 2.94-fold higher risk of T2DM in obesity while 9.33 folds significant risk of developing obesity in T2DM cases.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>The risk of obesity in T2DM cases can be assessed by genotyping the <jats:italic>CD36</jats:italic> genetic variant rs1761667 (G/A). However, raised FPG, PPG, TC, LDL, and VLDL showed poor prognosis in obese T2DM cases. <jats:italic>CD36</jats:italic> gene variant can be proposed as a prognostic biomarker for risk prediction of T2DM and obesity, while anthro-biochemical risk factors as preventive biomarker.</jats:p></jats:sec>

Topics
  • density
  • inclusion
  • size-exclusion chromatography
  • susceptibility