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TLRs Gene Polymorphisms Associated with Pneumonia before and during COVID-19 Pandemic
Background: The progression of infectious diseases depends on the characteristics of a patient’s innate immunity, and the efficiency of an immune system depends on the patient’s genetic factors, including SNPs in the TLR genes. In this pilot study, we determined the frequency of alleles in these SNP...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818199/ https://www.ncbi.nlm.nih.gov/pubmed/36611413 http://dx.doi.org/10.3390/diagnostics13010121 |
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author | Salamaikina, Svetlana Karnaushkina, Maria Korchagin, Vitaly Litvinova, Maria Mironov, Konstantin Akimkin, Vasily |
author_facet | Salamaikina, Svetlana Karnaushkina, Maria Korchagin, Vitaly Litvinova, Maria Mironov, Konstantin Akimkin, Vasily |
author_sort | Salamaikina, Svetlana |
collection | PubMed |
description | Background: The progression of infectious diseases depends on the characteristics of a patient’s innate immunity, and the efficiency of an immune system depends on the patient’s genetic factors, including SNPs in the TLR genes. In this pilot study, we determined the frequency of alleles in these SNPs in a subset of patients with pneumonia. Methods: This study assessed six SNPs from TLR genes: rs5743551 (TLR1), rs5743708, rs3804100 (TLR2), rs4986790 (TLR4), rs5743810 (TLR6), and rs3764880 (TLR8). Three groups of patients participated in this study: patients with pneumonia in 2019 (76 samples), patients with pneumonia caused by SARS-CoV-2 in 2021 (85 samples), and the control group (99 samples). Results: The allele and genotype frequencies obtained for each group were examined using four genetic models. Significant results were obtained when comparing the samples obtained from individuals with pneumonia before the spread of SARS-CoV-2 and from the controls for rs5743551 (TLR1) and rs3764880 (TLR8). Additionally, the comparison of COVID-19-related pneumonia cases and the control group revealed a significant result for rs3804100-G (TLR2). Conclusions: Determining SNP allele frequencies and searching for their associations with the course of pneumonia are important for personalized patient management. However, our results need to be comprehensively assessed in consideration of other clinical parameters. |
format | Online Article Text |
id | pubmed-9818199 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98181992023-01-07 TLRs Gene Polymorphisms Associated with Pneumonia before and during COVID-19 Pandemic Salamaikina, Svetlana Karnaushkina, Maria Korchagin, Vitaly Litvinova, Maria Mironov, Konstantin Akimkin, Vasily Diagnostics (Basel) Article Background: The progression of infectious diseases depends on the characteristics of a patient’s innate immunity, and the efficiency of an immune system depends on the patient’s genetic factors, including SNPs in the TLR genes. In this pilot study, we determined the frequency of alleles in these SNPs in a subset of patients with pneumonia. Methods: This study assessed six SNPs from TLR genes: rs5743551 (TLR1), rs5743708, rs3804100 (TLR2), rs4986790 (TLR4), rs5743810 (TLR6), and rs3764880 (TLR8). Three groups of patients participated in this study: patients with pneumonia in 2019 (76 samples), patients with pneumonia caused by SARS-CoV-2 in 2021 (85 samples), and the control group (99 samples). Results: The allele and genotype frequencies obtained for each group were examined using four genetic models. Significant results were obtained when comparing the samples obtained from individuals with pneumonia before the spread of SARS-CoV-2 and from the controls for rs5743551 (TLR1) and rs3764880 (TLR8). Additionally, the comparison of COVID-19-related pneumonia cases and the control group revealed a significant result for rs3804100-G (TLR2). Conclusions: Determining SNP allele frequencies and searching for their associations with the course of pneumonia are important for personalized patient management. However, our results need to be comprehensively assessed in consideration of other clinical parameters. MDPI 2022-12-30 /pmc/articles/PMC9818199/ /pubmed/36611413 http://dx.doi.org/10.3390/diagnostics13010121 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Salamaikina, Svetlana Karnaushkina, Maria Korchagin, Vitaly Litvinova, Maria Mironov, Konstantin Akimkin, Vasily TLRs Gene Polymorphisms Associated with Pneumonia before and during COVID-19 Pandemic |
title | TLRs Gene Polymorphisms Associated with Pneumonia before and during COVID-19 Pandemic |
title_full | TLRs Gene Polymorphisms Associated with Pneumonia before and during COVID-19 Pandemic |
title_fullStr | TLRs Gene Polymorphisms Associated with Pneumonia before and during COVID-19 Pandemic |
title_full_unstemmed | TLRs Gene Polymorphisms Associated with Pneumonia before and during COVID-19 Pandemic |
title_short | TLRs Gene Polymorphisms Associated with Pneumonia before and during COVID-19 Pandemic |
title_sort | tlrs gene polymorphisms associated with pneumonia before and during covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818199/ https://www.ncbi.nlm.nih.gov/pubmed/36611413 http://dx.doi.org/10.3390/diagnostics13010121 |
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