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转化生长因子-β1 基因变异的结构影响、配体-蛋白相互作用和分子表型效应:对特发性肺纤维化的计算机分析及其意义。

Structural impact, ligand-protein interactions, and molecular phenotypic effects of TGF-β1 gene variants: In silico analysis with implications for idiopathic pulmonary fibrosis.

机构信息

Research Unit of Clinical and Molecular Biology (UR17ES29), Department of Biochemistry, Faculty of Pharmacy of Monastir, University of Monastir, Tunisia.

Laboratory of Physiology, Faculty of Medicine of Tunis, la Rabta, 1007, Tunis, Tunisia; Laboratory of Functional Physiology and Valorization of Bioresources, High Institute of Biotechnology of Beja, University of Jendouba, Beja, Tunisia.

出版信息

Gene. 2024 Sep 5;922:148565. doi: 10.1016/j.gene.2024.148565. Epub 2024 May 17.

Abstract

BACKGROUND

Idiopathic Pulmonary Fibrosis (IPF) is a chronic interstitial lung disease resulting in progressively deteriorating lung function. Transforming growth factor-β1 (TGF-β1) belongs to the TGF superfamily and exerts a profibrotic role in promoting lung fibrosis by facilitating fibroblast infiltration and activity, extracellular matrix deposition, and inhibition of collagen breakdown, thus promoting tissue remodelling and IPF.

MATERIALS AND METHODS

We evaluated the link between pathogenic TGF-β1 SNPs and IPF pathogenesis and the structure-activity functional consequences of those SNPs on the TGF-β1 protein. Several computational algorithms were merged to address the functional consequences of TGF-β1 gene mutations to protein stability, putative post-translational modification sites, ligand-protein interactions, and molecular phenotypic effects. These included FATHMM, POLYPHEN2, PROVEAN, and SIFT tools (identifying deleterious nsSNPs in the TGF-β1 gene), along with Pmut, PhD-SNP, SNAP, MutPred and the related TMHMM, MARCOIL, and DisProt algorithms (predicting structural disorders). INPS-MD was also used to evaluate the mutation-induced TGF-β1 protein's stability and MODPRED for recognition of post-translational TGF-β1 modification.

RESULTS

In total, 14 major pathogenic variants markedly impact the destabilization of the TGF-β1 protein, with most of these high-risk mutations associated with decreased stability of the TGF-β1 protein as per the I-Mutant, MUpro, and INPS-MD tools. R205W, R185W, R180Q, D86Y, and I300T variants were proposed to participate in the post-translational modifications, thus affecting affect protein-ligand interactions. Furthermore, at-risk genetic variants appear to target conserved regions in the alpha helices, random coils, and extracellular loops, resulting in a varied composition of amino acids, charge, hydrophobicity, and spatial architecture.

CONCLUSIONS

This study manuscript comprehensively analyzes gene variants within the TGF-β1 gene, offering novel insights into their structural and functional implications in interacting with target sites. This study is significant for the development of targeted therapeutic strategies and personalized treatment approaches for patients with inflammatory lung diseases such as IPF.

摘要

背景

特发性肺纤维化(IPF)是一种慢性间质性肺疾病,导致肺功能逐渐恶化。转化生长因子-β1(TGF-β1)属于 TGF 超家族,通过促进成纤维细胞浸润和活性、细胞外基质沉积以及抑制胶原降解,从而促进组织重塑和 IPF,发挥促纤维化作用。

材料和方法

我们评估了致病 TGF-β1 SNP 与 IPF 发病机制之间的联系,以及这些 SNP 对 TGF-β1 蛋白的结构-活性功能后果。几种计算算法被合并用于解决 TGF-β1 基因突变对蛋白质稳定性、潜在翻译后修饰位点、配体-蛋白相互作用和分子表型效应的功能后果。这些包括 FATHMM、POLYPHEN2、PROVEAN 和 SIFT 工具(鉴定 TGF-β1 基因中的有害 nsSNP),以及 Pmut、PhD-SNP、SNAP、MutPred 和相关的 TMHMM、MARCOIL 和 DisProt 算法(预测结构紊乱)。INPS-MD 还用于评估突变诱导的 TGF-β1 蛋白的稳定性,MODPRED 用于识别翻译后 TGF-β1 修饰。

结果

总共 14 个主要的致病变体显著影响 TGF-β1 蛋白的失稳,其中大多数高风险突变与 TGF-β1 蛋白稳定性降低有关,根据 I-Mutant、MUpro 和 INPS-MD 工具。R205W、R185W、R180Q、D86Y 和 I300T 变体被提议参与翻译后修饰,从而影响蛋白-配体相互作用。此外,风险基因变体似乎针对 alpha 螺旋、无规卷曲和细胞外环的保守区域,导致氨基酸、电荷、疏水性和空间结构的组成不同。

结论

本研究手稿全面分析了 TGF-β1 基因中的基因变体,为它们与靶位点相互作用的结构和功能影响提供了新的见解。这项研究对于开发针对特发性肺纤维化等炎症性肺疾病的靶向治疗策略和个体化治疗方法具有重要意义。

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