Cargando…

In silico analysis of missense variants of the C1qA gene related to infection and autoimmune diseases

OBJECTIVES: C1q is a key activator of the classical pathway of the complement system and exerts consequences relating to opsonization and phagocytosis. The C1qA gene is one of three genes encoding the C1q molecule. Defects in C1q, and especially in C1qA, have been linked to an increased susceptibili...

Descripción completa

Detalles Bibliográficos
Autores principales: Behairy, Mohammed Y., Abdelrahman, ALi A., Abdallah, Hoda Y., Ibrahim, Emad El-Deen A., Sayed, Anwar A., Azab, Marwa M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taibah University 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519598/
https://www.ncbi.nlm.nih.gov/pubmed/36212588
http://dx.doi.org/10.1016/j.jtumed.2022.04.014
_version_ 1784799435716296704
author Behairy, Mohammed Y.
Abdelrahman, ALi A.
Abdallah, Hoda Y.
Ibrahim, Emad El-Deen A.
Sayed, Anwar A.
Azab, Marwa M.
author_facet Behairy, Mohammed Y.
Abdelrahman, ALi A.
Abdallah, Hoda Y.
Ibrahim, Emad El-Deen A.
Sayed, Anwar A.
Azab, Marwa M.
author_sort Behairy, Mohammed Y.
collection PubMed
description OBJECTIVES: C1q is a key activator of the classical pathway of the complement system and exerts consequences relating to opsonization and phagocytosis. The C1qA gene is one of three genes encoding the C1q molecule. Defects in C1q, and especially in C1qA, have been linked to an increased susceptibility to infection, sepsis, and systemic lupus erythematosus. These defects could arise from missense single nucleotide polymorphisms (SNPs) and their deleterious impacts on protein structure and function. Thus, identifying high-risk missense SNPs in C1qA has become a necessity if we are to identify appropriate measures for prevention and management of affected patients. METHODS: A comprehensive in silico study was conducted to screen the 184 missense SNPs in the C1qA gene using different tools with different algorithms and approaches. We investigated the impact of SNPs on protein function, stability, and structure. In addition, we identified the location of the SNPs on protein domains, secondary structure alignment, and the phylogenetic conservation of their positions. RESULTS: Of the 184 missense SNPs, 10 SNPs were predicted to be the most damaging to protein function and structure. CONCLUSION: Ten missense SNPs were predicted to have the highest risk of damaging protein function and structure, thus leading to infection, sepsis, and systemic lupus erythematosus. These 10 SNPs constitute the best candidates for further experimental investigations.
format Online
Article
Text
id pubmed-9519598
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Taibah University
record_format MEDLINE/PubMed
spelling pubmed-95195982022-10-06 In silico analysis of missense variants of the C1qA gene related to infection and autoimmune diseases Behairy, Mohammed Y. Abdelrahman, ALi A. Abdallah, Hoda Y. Ibrahim, Emad El-Deen A. Sayed, Anwar A. Azab, Marwa M. J Taibah Univ Med Sci Original Article OBJECTIVES: C1q is a key activator of the classical pathway of the complement system and exerts consequences relating to opsonization and phagocytosis. The C1qA gene is one of three genes encoding the C1q molecule. Defects in C1q, and especially in C1qA, have been linked to an increased susceptibility to infection, sepsis, and systemic lupus erythematosus. These defects could arise from missense single nucleotide polymorphisms (SNPs) and their deleterious impacts on protein structure and function. Thus, identifying high-risk missense SNPs in C1qA has become a necessity if we are to identify appropriate measures for prevention and management of affected patients. METHODS: A comprehensive in silico study was conducted to screen the 184 missense SNPs in the C1qA gene using different tools with different algorithms and approaches. We investigated the impact of SNPs on protein function, stability, and structure. In addition, we identified the location of the SNPs on protein domains, secondary structure alignment, and the phylogenetic conservation of their positions. RESULTS: Of the 184 missense SNPs, 10 SNPs were predicted to be the most damaging to protein function and structure. CONCLUSION: Ten missense SNPs were predicted to have the highest risk of damaging protein function and structure, thus leading to infection, sepsis, and systemic lupus erythematosus. These 10 SNPs constitute the best candidates for further experimental investigations. Taibah University 2022-05-13 /pmc/articles/PMC9519598/ /pubmed/36212588 http://dx.doi.org/10.1016/j.jtumed.2022.04.014 Text en © 2022 [The Author/The Authors] https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Behairy, Mohammed Y.
Abdelrahman, ALi A.
Abdallah, Hoda Y.
Ibrahim, Emad El-Deen A.
Sayed, Anwar A.
Azab, Marwa M.
In silico analysis of missense variants of the C1qA gene related to infection and autoimmune diseases
title In silico analysis of missense variants of the C1qA gene related to infection and autoimmune diseases
title_full In silico analysis of missense variants of the C1qA gene related to infection and autoimmune diseases
title_fullStr In silico analysis of missense variants of the C1qA gene related to infection and autoimmune diseases
title_full_unstemmed In silico analysis of missense variants of the C1qA gene related to infection and autoimmune diseases
title_short In silico analysis of missense variants of the C1qA gene related to infection and autoimmune diseases
title_sort in silico analysis of missense variants of the c1qa gene related to infection and autoimmune diseases
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519598/
https://www.ncbi.nlm.nih.gov/pubmed/36212588
http://dx.doi.org/10.1016/j.jtumed.2022.04.014
work_keys_str_mv AT behairymohammedy insilicoanalysisofmissensevariantsofthec1qagenerelatedtoinfectionandautoimmunediseases
AT abdelrahmanalia insilicoanalysisofmissensevariantsofthec1qagenerelatedtoinfectionandautoimmunediseases
AT abdallahhoday insilicoanalysisofmissensevariantsofthec1qagenerelatedtoinfectionandautoimmunediseases
AT ibrahimemadeldeena insilicoanalysisofmissensevariantsofthec1qagenerelatedtoinfectionandautoimmunediseases
AT sayedanwara insilicoanalysisofmissensevariantsofthec1qagenerelatedtoinfectionandautoimmunediseases
AT azabmarwam insilicoanalysisofmissensevariantsofthec1qagenerelatedtoinfectionandautoimmunediseases