{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T12:22:47Z","timestamp":1793276567770,"version":"4.5.0"},"reference-count":41,"publisher":"Baishideng Publishing Group Inc.","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["World J Biol Chem"],"abstract":"<jats:p>BACKGROUND<\/jats:p>\n                  <jats:p>Gestational diabetes mellitus (GDM) is a metabolic disorder causing hyperglycemia during pregnancy. Insulin resistance and decreased insulin secretion are linked to altered lipid metabolism that leads to progression of GDM. CD36 is a membrane glycoprotein involved in lipid metabolism and insulin sensitivity. Studies indicate that the CD36  gene is substantially linked to type 2 diabetes mellitus (T2DM) and could also influence GDM susceptibility. Insulin resistance and decreased insulin secretion are the hallmarks of T2DM, which is thought to have a similar genetic pathophysiology in GDM.<\/jats:p>\n                  <jats:p>AIM<\/jats:p>\n                  <jats:p>To investigate the impact of CD36  gene polymorphisms [rs1761667 (G\/A) and rs75326924 (C\/T)] and mRNA expression in GDM women.<\/jats:p>\n                  <jats:p>METHODS<\/jats:p>\n                  <jats:p>The case-control study involved a total of 400 pregnant women, (200 healthy controls and 200 GDM cases). The study of CD36  gene polymorphisms G\/A (rs1761667) and C\/T (rs75326924)) were determined by polymerase chain reaction-restriction fragment length polymorphism. The mRNA expression study of CD36  gene was analyzed by quantitative polymerase chain reaction\/quantitative real-time polymerase chain reaction followed by statistical analysis done using GraphPad Prism8 software (ver. 8.0).<\/jats:p>\n                  <jats:p>RESULTS<\/jats:p>\n                  <jats:p>The study revealed statistically significant association (P  &lt; 0.05) in anthropometric\/biochemical parameters (age, gestational age, body mass index, fasting prandial glucose, post-prandial glucose, triglyceride, low-density lipoprotein) between GDM cases and healthy controls. CD36  G\/A(rs1761667) and CD36  C\/T (rs75326924) polymorphisms were significantly associated with GDM cases. The heterozygous genotypes (GA and CT) of both variants showed significant association (P  = 0.0001 and P  = 0.0025, odds ratio = 2.683 and 2.022 respectively). Allele frequency of \u2018T\u2019 allele in CD36  C\/T (rs75326924) polymorphism was also found to be significant (P  = 0.0046). CD36  gene was upregulated in individuals with GDM as compared to healthy controls (P  = 0.0001). However, the upregulation of gene expression was not significantly associated with the genotypes of CD36  G\/A (rs1761667) and CD36  C\/T (rs75326924) polymorphisms.<\/jats:p>\n                  <jats:p>CONCLUSION<\/jats:p>\n                  <jats:p>Heterozygous genotypes GA and CT of CD36  gene variants and expression are linked to GDM, potentially serving as predictive biomarkers for GDM susceptibility; further exploration needed in diverse ethnic communities.<\/jats:p>","DOI":"10.4331\/wjbc.v16.i4.111104","type":"journal-article","created":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T02:52:22Z","timestamp":1764816742000},"source":"Crossref","is-referenced-by-count":1,"title":["<i>CD36<\/i>\n                    fatty-acid-transporter gene variants-\n                    <i>CD36<\/i>\n                    G\/A (rs1761667) and\n                    <i>CD36<\/i>\n                    C\/T (rs75326924) as biomarkers for risk-prediction in gestational diabetes mellitus"],"prefix":"10.4331","volume":"16","author":[{"given":"Amreen","family":"Shamsad","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tanu","family":"Gautam","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Renu","family":"Singh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Monisha","family":"Banerjee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2060","published-online":{"date-parts":[[2025,12,5]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.4081\/jphia.2023.2583"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(24)00825-0"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1055\/s-0039-1687860"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1007\/s13669-023-00356-9"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.3389\/fendo.2023.1247604"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.1186\/s12933-023-01774-y"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1186\/s12889-024-18024-9"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1210\/jc.2018-01659"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.12891\/ceog3844.2018"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.3390\/ijms26052320"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.1093\/cvr\/cvx045"},{"key":"B12","doi-asserted-by":"publisher","DOI":"10.2337\/db19-0944"},{"key":"B13","doi-asserted-by":"publisher","DOI":"10.3390\/cells9081877"},{"key":"B14","doi-asserted-by":"publisher","DOI":"10.1016\/S0021-9258(17)46753-6"},{"key":"B15","doi-asserted-by":"publisher","DOI":"10.1016\/j.plefa.2010.02.029"},{"key":"B16","doi-asserted-by":"publisher","DOI":"10.1186\/s13098-022-00881-2"},{"key":"B17","doi-asserted-by":"publisher","DOI":"10.1080\/09674845.2019.1595869"},{"key":"B18","doi-asserted-by":"publisher","DOI":"10.1186\/s43042-024-00478-6"},{"key":"B19","unstructured":"Seshiah V, Das AK, Balaji V, Joshi SR, Parikh MN, Gupta S; Diabetes in Pregnancy Study Group. 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