Sabitha Thummala, Junaid Ahmed Khan Ghori, Katherine Saikia, Balamurali AR, Sarah Fathima, Nithya Kruthi, Rahul Ranganathan
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DNA was extracted for genotyping using Illumina Infinium Global Screening Array (GSA) V3. Case-control analysis assessed SNP-genotype associations with insulin resistance and other clinical parameters.\nResults: Among 191 participants, 57 were insulin-resistant and 134 were insulin-sensitive. Significant associations (P < 0.05) were found between selected SNPs and IR. SNP rs920590 showed the strongest association, with the T allele associated with increased IR risk (odds ratio = 4.01, 95% CI 1.55-10.34; p < 0.0014). Additionally, serum LDL cholesterol, serum triglycerides, HbA1c, Insulin fasting and fat mass show significant differences in cases and controls.\nConclusion: This study validates genetic markers linked to insulin resistance (IR) in the Indian population and elucidates their roles in IR pathogenesis. Understanding these markers can inform personalised therapeutic strategies for metabolic disorders.","PeriodicalId":501419,"journal":{"name":"medRxiv - Endocrinology","volume":"2019 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genetic Polymorphisms Associated with Insulin Resistance Risk in Normal BMI Indians\",\"authors\":\"Sabitha Thummala, Junaid Ahmed Khan Ghori, Katherine Saikia, Balamurali AR, Sarah Fathima, Nithya Kruthi, Rahul Ranganathan\",\"doi\":\"10.1101/2024.08.22.24311638\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Type 2 diabetes mellitus and cardiovascular illnesses are two metabolic conditions that are greatly influenced by insulin resistance (IR). Identifying genetic markers associated with IR can offer insights into its mechanisms and potential therapeutic targets.\\nObjective: This study investigated the association between four single nucleotide polymorphisms (SNPs) and insulin resistance among 191 individuals in the Indian population.\\nMethods: A literature review identified four SNPs linked to IR. Participants were divided into groups based on insulin resistance and sensitivity, determined by the Homeostasis Model Assessment for Insulin Resistance (HOMA2-IR). DNA was extracted for genotyping using Illumina Infinium Global Screening Array (GSA) V3. Case-control analysis assessed SNP-genotype associations with insulin resistance and other clinical parameters.\\nResults: Among 191 participants, 57 were insulin-resistant and 134 were insulin-sensitive. Significant associations (P < 0.05) were found between selected SNPs and IR. SNP rs920590 showed the strongest association, with the T allele associated with increased IR risk (odds ratio = 4.01, 95% CI 1.55-10.34; p < 0.0014). Additionally, serum LDL cholesterol, serum triglycerides, HbA1c, Insulin fasting and fat mass show significant differences in cases and controls.\\nConclusion: This study validates genetic markers linked to insulin resistance (IR) in the Indian population and elucidates their roles in IR pathogenesis. 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引用次数: 0
摘要
背景:2 型糖尿病和心血管疾病是受胰岛素抵抗(IR)影响较大的两种代谢疾病。确定与胰岛素抵抗相关的遗传标记可帮助人们了解胰岛素抵抗的机制和潜在的治疗目标:本研究调查了印度 191 人中四个单核苷酸多态性(SNPs)与胰岛素抵抗之间的关系:方法:文献综述确定了四种与 IR 相关的 SNPs。根据胰岛素抵抗稳态模型评估(HOMA2-IR)确定的胰岛素抵抗性和敏感性,将参与者分为几组。使用 Illumina Infinium 全球筛查阵列 (GSA) V3 提取 DNA 进行基因分型。病例对照分析评估了 SNP 基因型与胰岛素抵抗及其他临床参数的关系:在 191 名参与者中,有 57 人存在胰岛素抵抗,134 人对胰岛素敏感。所选 SNP 与 IR 之间存在显著关联(P < 0.05)。SNP rs920590 的关联性最强,T 等位基因与 IR 风险增加有关(几率比 = 4.01,95% CI 1.55-10.34;P <;0.0014)。此外,病例和对照组的血清低密度脂蛋白胆固醇、血清甘油三酯、HbA1c、空腹胰岛素和脂肪量也存在显著差异:这项研究验证了印度人群中与胰岛素抵抗(IR)相关的遗传标记,并阐明了它们在 IR 发病机制中的作用。了解这些标记可为代谢紊乱的个性化治疗策略提供依据。
Genetic Polymorphisms Associated with Insulin Resistance Risk in Normal BMI Indians
Background: Type 2 diabetes mellitus and cardiovascular illnesses are two metabolic conditions that are greatly influenced by insulin resistance (IR). Identifying genetic markers associated with IR can offer insights into its mechanisms and potential therapeutic targets.
Objective: This study investigated the association between four single nucleotide polymorphisms (SNPs) and insulin resistance among 191 individuals in the Indian population.
Methods: A literature review identified four SNPs linked to IR. Participants were divided into groups based on insulin resistance and sensitivity, determined by the Homeostasis Model Assessment for Insulin Resistance (HOMA2-IR). DNA was extracted for genotyping using Illumina Infinium Global Screening Array (GSA) V3. Case-control analysis assessed SNP-genotype associations with insulin resistance and other clinical parameters.
Results: Among 191 participants, 57 were insulin-resistant and 134 were insulin-sensitive. Significant associations (P < 0.05) were found between selected SNPs and IR. SNP rs920590 showed the strongest association, with the T allele associated with increased IR risk (odds ratio = 4.01, 95% CI 1.55-10.34; p < 0.0014). Additionally, serum LDL cholesterol, serum triglycerides, HbA1c, Insulin fasting and fat mass show significant differences in cases and controls.
Conclusion: This study validates genetic markers linked to insulin resistance (IR) in the Indian population and elucidates their roles in IR pathogenesis. Understanding these markers can inform personalised therapeutic strategies for metabolic disorders.