NR3C1 rs41423247: genetic predictor of complications in pneumonia caused by SARS-CoV-2
European Journal of Human Genetics
; 31(Supplement 1):342-343, 2023.
Article
in English
| EMBASE | ID: covidwho-20235570
ABSTRACT
Background/Objectives:
Runaway inflammation is a key feature of COVID-19. NR3C1 gene encodes for glucocorticoid receptor which plays an important role in inflammation reaction. The variant rs41423247 cause increased glucocorticoid receptors sensitivity. This study aimed to investigate the impact of variants of NR3C1 gene on the course of COVID-19 pneumonia in patients with necessarily artificial lung ventilation. Method(s) The study group included 20 patients (9 women and 11 men) with diagnosis viral COVID-19 pneumonia on artificial lung ventilation at the intensive care unit. All patients underwent daily standard examinations according clinical protocols. Determination of NR3C1 gene variants was carried out by using PCRRFLP. Result(s) There were found the significant negative correlations between NR3C1 gene variants and level of SpO2 (rS = -0.601, p = 0.008), Glasgow Coma Scale score (rS = -0.523, p = 0.026). Also, it was defined a protective effect of genotype CC at risk of development acute respiratory distress syndrome in this patients (chi2 = 4.38, p = 0.037, OR = 0.05 (CI0.01-0.66)). Conclusion(s) The investigated variant rs41423247 of the NR3C1 gene may be the genetic predictor of complicated course of COVID-19 pneumonia. .
adult; adult respiratory distress syndrome; artificial ventilation; clinical article; clinical protocol; complication; conference abstract; controlled study; COVID-19 pneumonia; female; genetic association; genotype; Glasgow coma scale; human; intensive care unit; male; polymerase chain reaction restriction fragment length polymorphism; single nucleotide polymorphism; endogenous compound; glucocorticoid receptor
Full text:
Available
Collection:
Databases of international organizations
Database:
EMBASE
Type of study:
Prognostic study
Topics:
Variants
Language:
English
Journal:
European Journal of Human Genetics
Year:
2023
Document Type:
Article
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