The surfactant protein B polymorphisms (rs7316 and rs1130866) and their correlation with disease progression of COVID-19

• Published in: Cytokine (Philadelphia, Pa.) Pa.), 2024-12, Vol.184, p.156775, Article 156775
• Main Authors: Behrouzi, Amir, Sakhaee, Fatemeh, Ghazanfari Jajin, Morteza, Ahmadi, Iraj, Anvari, Enayat, Sotoodehnejadnematalahi, Fattah, Fateh, Abolfazl
• Format: Article
• Language: English
• Subjects: Adult; Aged; Alleles; Cohort Studies; COVID-19; COVID-19 - genetics; COVID-19 - virology; Disease Progression; Female; Genetic Predisposition to Disease; Genotype; Humans; Male; Middle Aged; Polymorphism, Single Nucleotide - genetics; Pulmonary Surfactant-Associated Protein B - genetics; SARS-CoV-2; SARS-CoV-2 - genetics; SFTPB gene
• ISSN: 1043-4666; 1096-0023; 1096-0023
• DOI: 10.1016/j.cyto.2024.156775

It is critical to examine the pathogenic pathways in coronavirus disease 2019 (COVID-19) that resulted in the development of severe lung injury. Surfactant protein B (SFTPB) is a vital component for sustaining life and serves pivotal functions in the host’s defensive mechanisms and alveolar surface tension reduction. Our study aimed to determine the effect of SFTPB rs7316 and rs1130866 variants on the course of disease in COVID-19 patients. The study cohort comprised 3,184 individuals diagnosed with COVID-19. We employed the RFLP approach to determine the variations of the SFTPB genes. SFTPB rs7316 did not exhibit a statistically significant correlation with COVID-19 mortality across different inheritance models. But, after making more changes for SARS-CoV-2 variants, it was found that there was a strong link between the TT and TC genotypes of SFTPB rs7316 and death rates, especially for the Delta variant. Furthermore, our study’s findings indicate a significant association between the SFTPB rs1130866 G allele and an elevated risk of mortality in COVID-19 across all variants of SARS-CoV-2. The use of the SFTPB rs1130866 marker has the potential to facilitate the prediction of COVID-19 severity. On the other hand, for SFTPB rs7316, this kind of prediction seems to depend on the particular SARS-CoV-2 variants.