Laboratoire de Génomique et Génétique Humaine, Institut Pasteur du Maroc, Casablanca, Morocco.
Laboratoire de Biologie et Santé, Faculté des Sciences Ben M'Sik, Université Hassan II de Casablanca, Morocco.
J Diabetes Res. 2019 May 20;2019:4951627. doi: 10.1155/2019/4951627. eCollection 2019.
Resistin () is a gene coding for proinflammatory adipokine called resistin secreted by macrophages in humans. Single nucleotide polymorphisms (SNPs) in are linked to obesity and insulin resistance in various populations. Using dbSNP, 78 nonsynonymous SNPs (nsSNPs) were retrieved and tested on a PredictSNP 1.0 megaserver. Among these, 15 nsSNPs were predicted as highly deleterious and thus subjected to further analyses, such as conservation, posttranscriptional modifications, and stability. The 3D structure of human resistin was generated by homology modeling using Swiss model. Root-mean-square deviation (RMSD), hydrogen bonds (h-bonds), and interactions were estimated. Furthermore, UTRscan served to identify UTR functional SNPs. Among the 15 most deleterious nsSNPs, 13 were predicted to be highly conserved including variants in posttranslational modification sites. Stability analysis predicted 9 nsSNPs (I32S, C51Y, G58E, G58R, C78S, G79C, W98C, C103G, and C104Y) which can decrease protein stability with at least three out of the four algorithms used in this study. These nsSNPs were chosen for structural analysis. Both variants C51Y and C104Y showed the highest RMS deviations (1.137 Å and 1.308 Å, respectively) which were confirmed by the important decrease in total h-bonds. The analysis of hydrophobic and hydrophilic interactions showed important differences between the native protein and the 9 mutants, particularly I32S, G79C, and C104Y. Six SNPs in the 3'UTR (rs920569876, rs74176247, rs1447199134, rs943234785, rs76346269, and rs78048640) were predicted to be implicated in polyadenylation signal. This study revealed 9 highly deleterious SNPs located in the human gene coding region and 6 SNPs within the 3'UTR that may alter the protein structure. Interestingly, these SNPs are worth to be analyzed in functional studies to further elucidate their effect on metabolic phenotype occurrence.
抵抗素()是一种基因,编码一种称为抵抗素的促炎脂肪因子,由人类巨噬细胞分泌。在不同人群中,的单核苷酸多态性(SNPs)与肥胖和胰岛素抵抗有关。使用 dbSNP,从数据库中检索到 78 个非同义 SNPs(nsSNPs),并在 PredictSNP 1.0 兆服务器上进行测试。其中,15 个 nsSNPs 被预测为高度有害,因此需要进一步分析,如保守性、转录后修饰和稳定性。使用同源建模方法,根据 Swiss Model 生成了人类抵抗素的 3D 结构。估计了均方根偏差(RMSD)、氢键(h-bonds)和相互作用。此外,UTRscan 用于识别 UTR 功能 SNPs。在 15 个最有害的 nsSNPs 中,有 13 个被预测为高度保守,包括翻译后修饰位点的变体。稳定性分析预测了 9 个 nsSNPs(I32S、C51Y、G58E、G58R、C78S、G79C、W98C、C103G 和 C104Y),这 9 个 nsSNPs 至少有三个使用本研究中使用的四个算法之一可以降低蛋白质稳定性。选择这些 nsSNPs 进行结构分析。变体 C51Y 和 C104Y 显示出最高的 RMS 偏差(分别为 1.137 Å 和 1.308 Å),这得到了氢键总数显著减少的证实。疏水和亲水相互作用的分析显示,天然蛋白和 9 个突变体之间存在重要差异,特别是 I32S、G79C 和 C104Y。3'UTR 中的 6 个 SNP(rs920569876、rs74176247、rs1447199134、rs943234785、rs76346269 和 rs78048640)被预测与多聚腺苷酸化信号有关。本研究揭示了位于人类基因编码区的 9 个高度有害的 SNPs 和 3'UTR 内的 6 个 SNP,这些 SNP 可能改变蛋白质结构。有趣的是,这些 SNP 值得在功能研究中进行分析,以进一步阐明它们对代谢表型发生的影响。