Back to Search Start Over

Innate Immune Gene Polymorphisms and COVID-19 Prognosis.

Authors :
Bakaros, Evangelos
Voulgaridi, Ioanna
Paliatsa, Vassiliki
Gatselis, Nikolaos
Germanidis, Georgios
Asvestopoulou, Evangelia
Alexiou, Stamatia
Botsfari, Elli
Lygoura, Vasiliki
Tsachouridou, Olga
Mimtsoudis, Iordanis
Tseroni, Maria
Sarrou, Styliani
Mouchtouri, Varvara A.
Dadouli, Katerina
Kalala, Fani
Metallidis, Simeon
Dalekos, George
Hadjichristodoulou, Christos
Speletas, Matthaios
Source :
Viruses (1999-4915). Sep2023, Vol. 15 Issue 9, p1784. 13p.
Publication Year :
2023

Abstract

COVID-19 is characterized by a heterogeneous clinical presentation and prognosis. Risk factors contributing to the development of severe disease include old age and the presence of comorbidities. However, the genetic background of the host has also been recognized as an important determinant of disease prognosis. Considering the pivotal role of innate immunity in the control of SARS-CoV-2 infection, we analyzed the possible contribution of several innate immune gene polymorphisms (including TLR2-rs5743708, TLR4-rs4986790, TLR4-rs4986791, CD14-rs2569190, CARD8-rs1834481, IL18-rs2043211, and CD40-rs1883832) in disease severity and prognosis. A total of 249 individuals were enrolled and further divided into five (5) groups, according to the clinical progression scale provided by the World Health Organization (WHO) (asymptomatic, mild, moderate, severe, and critical). We identified that elderly patients with obesity and/or diabetes mellitus were more susceptible to developing pneumonia and respiratory distress syndrome after SARS-CoV-2 infection, while the IL18-rs1834481 polymorphism was an independent risk factor for developing pneumonia. Moreover, individuals carrying either the TLR2-rs5743708 or the TLR4-rs4986791 polymorphisms exhibited a 3.6- and 2.5-fold increased probability for developing pneumonia and a more severe disease, respectively. Our data support the notion that the host's genetic background can significantly affect COVID-19 clinical phenotype, also suggesting that the IL18-rs1834481, TLR2-rs5743708, and TLR4-rs4986791 polymorphisms may be used as molecular predictors of COVID-19 clinical phenotype. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19994915
Volume :
15
Issue :
9
Database :
Academic Search Index
Journal :
Viruses (1999-4915)
Publication Type :
Academic Journal
Accession number :
172752264
Full Text :
https://doi.org/10.3390/v15091784