Since December 2019, coronavirus disease 2019 (COVID‐19), caused by severe acute respiratory syndrome coronavirus 2, has given rise to emerging respiratory infections with pandemic diffusion. The vitamin D binding protein (DBP) with emphasis on its regulation of total and free vitamin D metabolite levels participate in various clinical conditions. The main goal of this study was to evaluate if there was any association between the DBP gene polymorphism at rs7041 and rs4588 loci and the prevalence of COVID‐19 and its mortality rates caused among populations of 10 countries including Turkey. Positive significant correlations were found between the prevalence (per million) and mortality rates (per million), and GT genotype ( P < .05) while there was a negative significant correlation between prevalence (per million) and mortality rates (per million), and TT genotype at rs7041 locus among all populations ( P < .05). However, no significant correlation was found at rs4588 locus. GT genotype was found to confer this susceptibility to the populations of Germany, Mexico, Italy, Czech, and Turkey. The variations in the prevalence of COVID‐19 and its mortality rates among countries may be explained by Vitamin D metabolism differed by the DBP polymorphisms of rs7041 and rs4588 .
Background The novel coronavirus disease 2019 (COVID‐19) infection may rely on a potential genetic background for the variations in the inflammatory response. We aimed to investigate the possible correlation between polymorphisms in the IL‐6 gene at rs1800796/rs1800795, in IL‐6R at rs2228145, in IL‐10 at rs1800896 and rs1800871, in IL‐17 at rs2275913 and rs763780 loci, and COVID‐19 prevalence and mortality rates among populations of 23 countries. Methods We searched the literature for polymorphisms in China, Japan, India, Spain, Mexico, Sweden, Turkey, Brazil, Russia, Poland, Italy, South Africa, Netherlands, Greece, Germany, UK, Iran, Finland, Czechia, Tunisia, Norway, Egypt, Croatia. We recorded the prevalence and mortality rates (per million) caused by the Coronavirus infection recorded on 7th September 2020 and 6th December 2020. Results There was a significant positive correlation between the frequency of AG genotype of rs1800896 and prevalence recorded on 6th December 2020 ( r : 0.53, r 2 : 0.28, p < .05). There was a significant negative correlation between the mortality rates recorded on 7th September, and the AG genotype of rs2275913 ( r : −0.51, r 2 : 0.26, p < .05). There was a significant positive correlation between the prevalence recorded on 6th December, and TT genotype at rs763780 ( r : 0.65, r 2 :0.42, p < .05) while a negative correlation between prevalence and TC genotype at rs763780 ( r : −0.66, r 2 : 0.43, p < .05). Also, a significant negative correlation was found between mortality rates recorded on 6th December 2020 and CC genotype at rs763780 ( r : −0.56, r 2 : 0.31, p < .05). Conclusion The variations in prevalence of COVID‐19 and its mortality rates among countries may be explained by the polymorphisms at rs1800896 in IL‐10 , rs2275913 in IL‐17A , and rs763780 loci in the IL‐17F gene.
The pathogenesis of COVID-19 implicates a potent inflammatory response resulting in cytokine storm. We aimed to evaluate association between polymorphisms in IL-6 gene at rs1800796/rs1800795, IL-6R at rs2228145, IL-10 at rs1800896 and rs1800871, IL-17 at rs2275913 and rs76378, and the prevalence (per million) and mortality rates (per million) of COVID-19 among populations of China, Japan, India, Iran, Spain, Italy, Mexico, Netherlands, Sweden, Turkey, Finland, Brazil, Czechia, Russia, Poland. AG and GG genotypes of rs2275913 in IL-17A was found to be correlated with prevalence and mortality rates, especially in Spain and Brazil populations (p<0.05) while TT genotype of rs763780 in IL-17F was not dependent on the high frequencies in all populations. However, the polymorphisms in IL-6, IL-6R and IL-10 appear not to be correlated with prevalence and mortality rates. The variations in the prevalence of COVID-19 and its mortality rates among countries may be explained by cytokine storm differed by the polymorphisms of rs2275913 locus in IL-17A gene. However, the prevalence of infection differs from severity of COVID-19, based on many factors such as public awareness, behaviors and antiviral policy of countries. Yet, the severity of disease induced by viral infection might be associated with genetic host factors including immune profiling.
The rs7041 and rs4588 polymorphisms found in the GC gene, encoding vitamin D-binding protein (DBP), have distinct biochemical phenotypes. The aim of this study was to investigate vitamin D parameters with these polymorphisms, in individuals with possible vitamin D deficiency. The most common (49% of the cohort) genotype in rs7041 was GT, especially among individuals with high levels of free 25(OH)D calculated but with low levels of bioavailable 25(OH)D, and in rs4588 it was AC in particular among the individuals with low levels of bioavailable 25(OH)D. The most common phenotypes were Gc1s/2 (35.3%) and Gc1s/1s (31.4%), and Gc1f/1f was rare (5.9%). The variations in free and bioavailable 25(OH)D levels among healthy Turkish individuals may be attributed to the variations in total 25(OH)D as well as GC gene polymorphisms. The Turkish population shares a similarity for allele frequencies of rs7041 with the European population and similarity for allele frequencies of rs4588 with Gujarati Indians, and this may also be important in relation to certain ethnic populations showing associations between vitamin D and COVID-19.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.