Alageel Arwa A, Ali Khan Imran
Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Medical Genomic Research Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, Ministry of National Guard-Health Affairs, Riyadh, Saudi Arabia.
Diabetes Metab Syndr Obes. 2024 Sep 29;17:3603-3617. doi: 10.2147/DMSO.S473843. eCollection 2024.
Aging is characterized by the gradual physiological changes and alterations that accumulate over time in the human body. The combination of obesity and ageing can lead to an increased risk of serious health issues or death. Single nucleotide variants (SNVs) in the gene were commonly studied, including that in type 2 diabetes mellitus (T2DM).
The aim of this study is to examine the possible effect of SNVs in on the obese population in Saudi Arabia using middle-aged participants with and without T2DM.
This study consists of 100 controls and 100 obesity patients, in which 50 had T2DM and the remaining 50 were obese without T2DM. Genotyping was performed with PCR, and Sanger sequencing analysis was used to validate the molecular association.
In this study, rs1207568 (p = 0.001-0.003) and rs9527025 (p = 0.001-0.00004) SNVs were associated with obesity cases. However, none of the genotypes or allele frequencies showed a positive association with the rs564481 SNV (p = 0.344-0.881). The multiple linear regression model showed that waist and hip were associated (p = 0.01-0.02). ANOVA analysis showed age (p = 0.04), hip (p = 0.002), SBP, and TC (p = 0.02) were associated. Finally, SNV (rs1207568 and rs95270250) and obesity (p < 0.001) associations were confirmed through gene multifactor dimensionality reduction analysis with gene-gene interaction, dendrogram, and graphical depletion method.
This study concludes that rs1207568 and rs9527025 SNVs are associated with obesity in the Saudi population. Additional genetical statistics showed significant association between dependent and independent variables. SNVs in play a role in the Saudi population's susceptibility to obesity.
衰老的特征是人体随着时间推移逐渐积累的生理变化和改变。肥胖与衰老相结合会增加严重健康问题或死亡的风险。人们普遍研究该基因中的单核苷酸变异（SNV），包括2型糖尿病（T2DM）中的变异。
本研究的目的是利用患有和未患有T2DM的中年参与者，研究SNV对沙特阿拉伯肥胖人群的可能影响。
本研究包括100名对照者和100名肥胖患者，其中50名患有T2DM，其余50名肥胖但未患T2DM。采用聚合酶链反应（PCR）进行基因分型，并使用桑格测序分析来验证分子关联。
在本研究中，rs1207568（p = 0.001 - 0.003）和rs9527025（p = 0.001 - 0.00004）SNV与肥胖病例相关。然而，没有一种基因型或等位基因频率与rs564481 SNV呈正相关（p = 0.344 - 0.881）。多元线性回归模型显示腰围和臀围相关（p = 0.01 - 0.02）。方差分析显示年龄（p = 0.04）、臀围（p = 0.002）、收缩压和总胆固醇（p = 0.02）相关。最后，通过基因多因素降维分析以及基因 - 基因相互作用、树形图和图形耗尽法，证实了SNV（rs1207568和rs95270250）与肥胖（p < 0.001）之间的关联。
本研究得出结论，rs1207568和rs9527025 SNV与沙特人群的肥胖相关。额外的遗传统计学显示了因变量和自变量之间的显著关联。该基因中的SNV在沙特人群对肥胖的易感性中起作用。
