Evaluating the Role of BglI rs739837 and TaqI rs731236 Polymorphisms in Vitamin D Receptor with SARS-CoV-2 Variants Mortality Rate.

A lack of vitamin D is a potential risk factor for coronavirus disease (COVID-19). Variants in the Vitamin D Receptor (VDR) gene, such as BglI rs739837 and TaqI rs731236, are associated with various viral infection progressions. This study aimed to evaluate the relationship between the BglI rs739837 and TaqI rs731236 polymorphisms and the mortality rate of COVID-19 based on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants. The genotyping of BglI rs739837 and TaqI rs731236 genotypes was analyzed using the polymerase chain reaction-restriction fragment length polymorphism in 1734 improved and 1450 deceased patients positive for SARS-CoV-2. In this study, the rate of COVID-19 mortality was correlated with TaqI rs731236 TC and CC in the α variant and with TaqI rs731236 CC in the Delta variant, whereas no relationship was found in the Omicron BA.5 variant. In addition, the rate of COVID-19 mortality was associated with BglI rs739837 GT and TT in the Omicron BA.5 variant, while there was no association between BglI rs739837 and COVID-19 mortality in the α and Delta variants. The TG haplotype was more common in all SARS-CoV-2 variants, while the CT haplotype was associated with COVID-19 mortality in the Delta and Omicron BA.5 variants. In conclusion, this study indicated that the impacts of BglI rs739837 and TaqI rs731236 polymorphisms were related to SARS-CoV-2 variants. However, further research is still needed to approve our findings.

Increased risk of COVID-19 mortality rate in IFITM3 rs6598045 G allele carriers infected by SARS-CoV-2 delta variant.

BACKGROUND: The interferon-induced transmembrane-protein 3 (IFITM3) is a vital component of the immune system's defense against viral infection. Variants in the IFITM3 gene have been linked to changes in expression and the risk of severe Coronavirus disease 2019 (COVID-19). This study aimed to investigate whether IFITM3 rs6598045, quantitative polymerase chain reaction (qPCR) cycle threshold (Ct) values, and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants are associated with an increased mortality rate of COVID-19. METHODS: The genotyping of IFITM3 rs6598045 polymorphism was analyzed using the amplification refractory mutation system-polymerase chain reaction in 1342 recovered and 1149 deceased patients positive for SARS-CoV-2. RESULTS: In this study, IFITM3 rs6598045 G allele as minor allele frequency was significantly more common in the deceased patients than in the recovered ones. Furthermore, the highest mortality rates were observed in Delta variant and lowest qPCR Ct values. COVID-19 mortality was associated with IFITM3 rs6598045 GG and AG in Delta variant and IFITM3 rs6598045 AG in Alpha variant. A statistically significant difference was observed in the qPCR Ct values between individuals with GG and AG genotypes and those with an AA genotype. CONCLUSION: A possible correlation was observed between the mortality rate of COVID-19, the G allele of IFITM3 rs6598045, and SARS-CoV-2 variants. However, large-scale research is still required to validate our results.

nCovid19 - A consolidated review with emphasis on oral mucormycosis

The last 2 years has been highly tumultuous with the advent of the 2019 novel coronavirus disease (nCovid-19). This viral infection has been a global landmark event in the history of mankind with its standout characteristics such as high transmission rate, initial asymptomatic period, and unexpected systemic outcomes. The long-term damage of this disease is still being unraveled with a profound impact on the global economy and livelihood of millions as well. A literature search was performed with the following keywords - Coronavirus, COVID-19, SARS-CoV-2, 2019-nCoV, Mucormycosis, and Opportunistic infections - in PUBMED/MEDLINE database to assimilate articles/case reports/books about nCovid19 and mucormycosis. nCovid19 data were collected from the Centers for Disease Control and Prevention and Ministry of Health and Family Welfare websites also. This review describes the etiopathogenesis of nCovid19, including the mutation and origin of variants seen so far. We recapitulate existing knowledge of clinical features, investigations, and treatment strategies followed. The various complications seen in nCovid19 recovery patients are also elaborated with a focus on the alarming surge of mucormycosis and mortality in post-nCovid19-affected persons. © 2022 Wolters Kluwer Medknow Publications. All rights reserved.

COVID-19: WHAT'S NEXT?

Since December 2019, when severe acute respiratory syndrome coronavirus 2 emerged in Wuhan, China, this virus and the resulting disease, coronavirus disease (COVID-19), has spread worldwide. What has occurred in this year and a half goes beyond anything we have dealt with, as humankind, in the past two centuries, perhaps obscured only by war. An incredible number of articles, whether scientific or in the press, have been published, making it impossible to discern between what is biological and what is social in nature. Here, we aim to reflect on the basic structure of the virus and associate its behavior to that of determining factors of the human condition that may be modifiable soon. Needless to say, we find our effort clearly incomplete, and that both scientific and social aspects regarding COVID-19 or any other pandemic encountered in the future, will be constantly changing, from their beginning to their end.

Monitoring the SARS-CoV-2 pandemic: screening algorithm with single nucleotide polymorphism detection for the rapid identification of established and emerging variants.

OBJECTIVES: To evaluate a testing algorithm for the rapid identification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants that includes the use of PCR-based targeted single nucleotide polymorphism (SNP) detection assays preceded by a multiplex PCR sensitive to S-Gene Target Failure (SGTF). METHODS: PCR SNP assays targeting SARS-CoV-2 S-gene mutations ΔH69-V70, L452R, E484K, N501Y, H655Y and P681R using melting curve analysis were performed on 567 samples in which SARS-CoV-2 viral RNA was detected by a multiplex PCR. Viral whole-genome sequencing (WGS) was performed to confirm the presence of SNPs and to identify the Pangolin lineage. Additionally, 1133 SARS-CoV-2 positive samples with SGTF were further assessed by WGS to determine the presence of ΔH69-V70. RESULTS: The N501Y-specific assay (n = 567) had an overall percentage agreement (OPA) of 98.5%. The ΔH69-V70-specific (n = 178) and E484K-specific (n = 401) assays had OPA of 96.6% and 99.7%, respectively. Assessment of H655Y (n = 139) yielded a 100.0% concordance when applied in the proposed algorithm. The L452R-specific (n = 67) and P681R-specific (n = 62) assays had an OPA of 98.2% and 98.1%, respectively. The proposed algorithm identified six variants of concern/interest (VOC/VOI)-Alpha (n = 149), Beta (n = 65), Gamma (n = 86), Delta (n = 49), Eta (n = 6), Kappa (n = 6)-and 205 non-VOC/VOI strains-including the variants under monitoring B.1.214.2 (n = 43) and B.1.1.318 (n = 18) and Epsilon (n = 1). An excellent concordance was observed for the identification of all SARS-CoV-2 lineages evaluated. CONCLUSIONS: We present a flexible testing algorithm for the rapid detection of current and emerging SARS-CoV-2 VOC/VOIs, which can be easily adapted based on the local endemicity of specific variants.