Analysis of Missense Mutations of CX3CR1 Gene in Patients with Recurrent Pregnancy Loss Using Bioinformatics Tools

Abstract

many are involved in this the CX3CR1 which is one of the inflammatory response genes in the immune system. The pathogenicity of these variants determined in this study using bioinformatics analysis. Material & Methods: In this study, the effects of rs3732378 and rs3732379 mutation were predicted using bioinformatics tools including SIFT, PolyPhen2, PROVEAN, Predict SNP, and Exome Variant Server. Changes in the stability of mutant proteins were investigated using I-Mutant and DynaMut tools. Moreover, modeling of the protein structure, docking, and protein-ligand interaction were performed using SWISS-MODEL, SwissDock, and FRODOCK tools as well as PyMOL, Hawkdock, and MolSoft software, respectively. Findings: Many polymorphisms related to the CX3CR1 gene have been known to date. Out of 244 missense mutations in the dbSNP database, two variants (rs3732378 and rs3732379) have been reported in association with recurrent pregnancy loss related to the CX3CR1 gene . The results of bioinformatics analyses showed that both variants were predicted as pathogenic mutations and changed the stability of the protein structure and played a key role in interaction with the ligand. Discussion & Conclusion: The findings of this study indicate that two missense mutations in the CX3CR1 gene are an important candidate for recurrent miscarriage and their identification in patients with recurrent miscarriage can be regarded as a risk factor.