Angiotensin-converting enzyme 2 rs2285666 polymorphism and clinical parameters as the determinants of COVID-19 severity in Iranian population

Association of ACE2 and TMPRSS2 genes variants with disease severity and most important biomarkers in COVID-19 patients in Bosnia and Herzegovina

AIM

To assess the association of single nucleotide polymorphisms (SNPs) in the ACE2 and TMPRSS2 genes with COVID-19 severity and key biomarkers.

METHODS

The study involved 750 COVID-19 patients from Bosnia and Herzegovina, divided into three groups: mild, moderate, and severe cases. Genetic variations within the ACE2 (rs2285666) and TMPRSS2 (rs2070788) genes were examined with real-time polymerase chain reaction. Biochemical markers were determined with standard procedures.

RESULTS

There was a significant difference in the rs2070788 genotype distribution between patients with mild and moderate symptoms, but not between other groups. For the rs2285666 polymorphism, no significant difference in genotype distribution was found. In patients with mild symptoms, carriers of the GG genotype of rs2070788 had significantly higher total bilirubin levels than carriers of the AA genotype. Similarly, carriers of the TT genotype of rs2285666 had significantly higher activated partial thromboplastin time and international normalized ratio, and lower lactate dehydrogenase levels compared with the CC genotype. Among patients with severe symptoms, carriers of the GG genotype showed significantly higher potassium levels than carriers of the AA genotype, while carriers of the TT genotype showed significantly higher erythrocyte count as well as hemoglobin and hematocrit levels compared with the CC genotype.

CONCLUSION

This study highlights the role of genetic factors, particularly SNPs in the ACE2 and TMPRSS2 genes, in determining COVID-19 severity, aiding patient risk assessment and prognosis.

Association of genetic polymorphisms with COVID-19 infection and outcomes: An updated meta-analysis based on 62 studies

Background

The relationship between genetic polymorphisms and coronavirus disease 2019 (COVID-19) remains to be inconsistent. This meta-analysis aimed to provide an updated evaluation of the role of genetic polymorphisms in the infection, severity and mortality of COVID-19 based on all available published studies.

Methods

A systematic search was performed using six databases: PubMed, Embase, Web of Science, Cochrane Library, Chinese National Knowledge Infrastructure (CNKI) and Wanfang. Summary odds ratios (ORs) and corresponding 95 % confidence intervals (CIs) were used to calculate the genotypic comparison. All statistical analyses were conducted in Stata 12.0.

Results

A total of 62 studies with 19600 cases and 28899 controls was included in this meta-analysis. For COVID-19 infection, ACE Ins/Del polymorphism might be related with significantly decreased risk of COVID-19 infection under dominant, homozygote and allelic models. Meanwhile, the IFITM3 rs12252 and TMPRSS2 rs12329760 polymorphisms were significantly associated with the increased risk of COVID-19 infection under one or more models. Regarding COVID-19 severity, ACE2 rs2074192, ACE2 rs2106809, IFITM3 rs12252 and VDR rs1544410 polymorphisms might be related with significantly increased risk of COVID-19 severity in one or more models. Moreover, the analysis of TMPRSS2 rs2070788 indicated that a variant A allele decreased the risk of COVID-19 severity in recessive model. For COVID-19 mortality, the variant C allele of IFITM3 rs12252 polymorphism might be related with significantly increased risk of COVID-19 mortality under all genetic models.

Conclusions

This meta-analysis indicated that he infection, severity or mortality of COVID-19 were related to the above genetic polymorphisms, which might provide an important theoretical basis for understanding the clinical feature of COVID-19 disease.

Cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) +49A>G (rs231775) gene polymorphism is not associated with COVID-19 severity and mortality in an Iranian population

Introduction

Cytotoxic T lymphocyte-associated antigen 4 (CTLA-4) regulates T cell immune responses as an immune activation inhibitor. Literature reviews suggest that COVID-19 is associated with dysregulation of the inflammatory immune response. The purpose of the present hospital-based case-control study was to evaluate the genetic association of the CTLA4 +49A > G (rs231775) Single Nucleotide Polymorphism (SNP) with COVID-19 severity and mortality among the Iranian people.

Method

Genomic DNA of peripheral blood nuclear cells was extracted from the 794 COVID-19 patients and 167 control individuals. The polymorphic site of rs231775 was genotyped using the PCR-RFLP technique. Also, to identify whether this genetic variation was related to CTLA-4 mRNA expression, total RNA was extracted from 178 COVID-19 patients and 70 controls. The mRNA levels of CTLA-4 were determined using real-time PCR.

Result

There were no statistically significant differences found in the genotype and allele frequencies among the different genetic models with regards to the severity and mortality of COVID-19. Furthermore, there was no significant association between rs231775 genotypes and CTLA-4 mRNA expression in patients.

Conclusion

Our findings demonstrated that SARS-CoV-2 infection is not associated with rs231775 in the Iranian people. More investigations are crucial to show how this genetic variation affects other ethnic groups. Given the importance of CTLA-4 in regulating immune responses, further studies are recommended to examine other CTLA-4 SNPs and the function of this gene in COVID-19 patients.

The death rate of COVID-19 infection in different SARS-CoV-2 variants was related to C-reactive protein gene polymorphisms

The serum level of C-reactive protein (CRP) is a significant independent risk factor for Coronavirus disease 2019 (COVID-19). A link was found between serum CRP and genetic diversity within the CRP gene in earlier research. This study examined whether CRP rs1205 and rs1800947 polymorphisms were associated with COVID-19 mortality among various severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) variants. We genotyped CRP rs1205 and rs1800947 polymorphisms in 2023 deceased and 2307 recovered patients using the polymerase chain reaction-restriction fragment length polymorphism method. There was a significant difference between the recovered and the deceased patients in terms of the minor allele frequency of CRP rs1205 T and rs1800947 G. In all three variants, COVID-19 mortality rates were associated with CRP rs1800947 GG genotype. Furthermore, CRP rs1205 CC and rs1800947 GG genotypes showed higher CRP levels. It was found that the G-T haplotype was prevalent in all SARS-CoV-2 variants. The C-C and C-T haplotypes were statistically significant in Delta and Omicron BA.5 variants, respectively. In conclusion, polymorphisms within the CRP gene may relate to serum CRP levels and mortality among COVID-19 patients. In order to verify the utility of CRP polymorphism correlation in predicting COVID-19 mortality, a replication of these results is needed.

Relationship Between Human FCγRIIA rs1801274 G Allele and Risk of Death Among Different SARS-CoV-2 Variants

Coronavirus disease 2019 (COVID-19), the illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), emerged in late 2019 and spread very quickly across the world. Different responses to infections have been related to fragment crystallizable gamma-receptor II alpha (FcγRIIA) polymorphisms. The purpose of this investigation was to determine if FCγRIIA rs1801274 polymorphism was related to COVID-19 mortality among different variants of SARS-CoV-2. The FCγRIIA rs1801274 polymorphism was genotyped using the polymerase chain reaction-restriction fragment length polymorphism technique in 1,734 recovered and 1,450 deceased patients. Deceased patients had significantly higher minor allele frequency of the FCγRIIA rs1801274 G allele than in the recovered cases. The COVID-19 mortality was associated with FCγRIIA rs1801274 GG and AG genotypes in the Delta variant and with FCγRIIA rs1801274 GG genotypes in the Alpha and Omicron BA.5 variants. The reverse transcription-quantitative polymerase chain reaction Ct values revealed statistically significant differences between individuals with a G allele and those with an A allele. In conclusion, among the several SARS-CoV-2 variants, there may be a correlation between the mortality rate of COVID-19 and the G allele of FCγRIIA rs1801274. To confirm our findings, thorough research is still required.

Relationship between CDX2 rs11568820 and EcoRV rs4516035 polymorphisms on the vitamin D receptor gene with susceptibility to different SARS-CoV-2 variants

Several studies have revealed that vitamin D deficiency is linked to an increased risk of developing coronavirus disease 19 (COVID-19). In individuals with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections, vitamin D receptor activation is required to decrease acute respiratory distress syndrome. The purpose of this study was to examine the genotypic distribution and allelic frequencies of CDX2 rs11568820 and EcoRV rs4516035 polymorphisms in COVID-19 patients with various SARS-CoV-2 variants. For genotyping of CDX2 rs11568820 and EcoRV rs4516035 polymorphisms, we used the polymerase chain reaction-restriction fragment length polymorphism technique in 1734 and 1450 recovered and deceased patients, respectively. The results indicated the rate of COVID-19 mortality was associated with CDX2 rs11568820 AA and GA genotypes in the Delta variant and with CDX2 rs11568820 AA in the Omicron BA.5 variant, while no association was shown in the Alpha variant. Therefore, the rate of COVID-19 mortality was associated with EcoRV rs4516035 TC and CC genotypes in the Delta variant, while no association was shown in the Alpha and Omicron BA.5 variants. According to our analysis, the T-G haplotype was more common in all SARS-CoV-2 variants. The C-A haplotype was associated with COVID-19 mortality in the Delta and Omicron BA.5 variants, and the T-A haplotype was related to the Alpha variant. In conclusion, the genotype frequencies of the CDX2 rs11568820 and EcoRV rs4516035 polymorphisms between SARS-CoV-2 variants were significantly different between the deceased patients and recovered patients. However, more studies should be done to confirm the results.

Polymorphisms within the SARS-CoV-2 Human Receptor Genes Associate with Variable Disease Outcomes across Ethnicities

The contribution of human genes to the variability of disease outcomes has been shown to be important across infectious diseases. Studies have shown mutations within specific human genes are associated with variable COVID-19 outcomes. We focused on the SARS-CoV-2 receptors/co-receptors to identify the role of specific polymorphisms within ACE2, TMPRSS2, NRP1 and CD147. Polymorphisms within ACE2 (rs2285666), TMPRSS2 (rs12329760), CD147 (rs8259) and NRP1 (rs10080) have been shown to associate with COVID-19 severity. Using cryopreserved samples from COVID-19-positive African, European and South Asian individuals within South Africa, we determined genotype frequencies. The genetic variant rs2285666 was associated with COVID-19 severity with an ethnic bias. African individuals with a CC genotype demonstrate more severe COVID-19 outcomes (OR = 7.5; 95% CI 1.164-80.89; p = 0.024) compared with those with a TT genotype. The expressions of ACE2 and SARS-CoV-2 viral load were measured using droplet digital PCR. Our results demonstrate rs2285666 and rs10080 were significantly associated with increased SARS-CoV-2 viral load and worse outcomes in certain ethnicities. This study demonstrates two important findings. Firstly, SARS-CoV-2 viral load is significantly lower in Africans compared with individuals of European and South Asian descent (p = 0.0002 and p < 0.0001). Secondly, SARS-CoV-2 viral load associates with specific SARS-CoV-2 receptor variants. A limited number of studies have examined the receptor/co-receptor genes within Africa. This study investigated genetic variants within the SARS-CoV-2 receptor/co-receptor genes and their association with COVID-19 severity and SARS-CoV-2 viral load across different ethnicities. We provide a genetic basis for differences in COVID-19 severity across ethnic groups in South Africa, further highlighting the importance of further investigation to determine potential therapeutic targets and to guide vaccination strategies that may prioritize specific genotypes.

Host genetic polymorphisms involved in long-term symptoms of COVID-19

Host genetic polymorphisms are recognized as a critical determinant of diversity in clinical symptoms of Coronavirus disease 2019 (COVID-19). Accordingly, this study aimed to determine possible associations between single nucleotide polymorphisms (SNPs) in 37 candidate genes and clinical consequences of COVID-19 - especially long-term symptoms, Long COVID. A total of 260 COVID-19 patients, divided into mild (n=239) and severe (n=21) and further categorized based on the presence of Long COVID (no, n=211; yes, n=49), were recruited. Genotyping of selected polymorphisms in 37 genes responsible for viral entry, immune response, and inflammation was performed using MassARRAY system. Out of 37 SNPs, 9 including leucine zipper transcription factor like-1 (LZTFL1) rs10490770 C allele, LZTFL1 rs11385942 dupA allele, nicotinamide adenine dinucleotide synthetase-1 (NADSYN1) rs12785878 TT genotype, plexin A-4 (PLXNA4) rs1424597 AA genotype, LZTFL1 rs17713054 A allele, interleukin-10 (IL10) rs1800896 TC genotype and C allele, angiotensin converting enzyme-2 (ACE2) rs2285666 T allele, and plasmanylethanolamine desaturase-1 (PEDS1) rs6020298 GG genotype and G allele were significantly associated with an increased risk of developing Long COVID, whereas interleukin-10 receptor subunit beta (IL10RB) rs8178562 GG genotype was significantly associated with a reduced risk of Long COVID. Kaplan-Meier curve displayed that polymorphisms in the above genes were significantly associated with cumulative rate of Long COVID occurrence. Polymorphisms in LZTFL1 rs10490770, LZTFL1 rs11385942, LZTFL1 rs17713054, NADSYN1 rs12785878, PLXNA4 rs1424597, IL10 rs1800896, ACE2 rs2285666, PEDS1 rs6020298, and IL10RB rs8178562 appear to be genetic factors involved in development of Long COVID.

The impact of ACE2 polymorphisms (rs1978124, rs2285666, and rs2074192) and ACE1 rs1799752 in the mortality rate of COVID-19 in different SARS-CoV-2 variants

BACKGROUND

Clinical severity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outcomes could be influenced by genetic polymorphisms in angiotensin I-converting enzyme (ACE1) and ACE2. This study aims to examine three polymorphisms (rs1978124, rs2285666, and rs2074192) on the ACE2 gene and ACE1 rs1799752 (I/D) in patients who have coronavirus disease 2019 (COVID-19) with various SARS-CoV-2 variants.

METHODS

Based on polymerase chain reaction-based genotyping, four polymorphisms in the ACE1 and ACE2 genes have been identified in 2023 deceased patients and 2307 recovered patients.

RESULTS

The ACE2 rs2074192 TT genotype was associated with the COVID-19 mortality in all three variants, whereas the CT genotype was associated with the Omicron BA.5 and Delta variants. ACE2 rs1978124 TC genotypes were related to COVID-19 mortality in the Omicron BA.5 and Alpha variants, but TT genotypes were related to COVID-19 mortality in the Delta variant. It was found that ACE2 rs2285666 CC genotypes were associated with COVID-19 mortality in Delta and Alpha variants, and CT genotypes in Delta variants. There was an association between ACE1 rs1799752 DD and ID genotypes in the Delta variant and COVID-19 mortality, whereas there was no association in the Alpha or Omicron BA.5 variants. In all variants of SARS-CoV-2, CDCT and TDCT haplotypes were more common. In Omicron BA.5 and Delta, CDCC and TDCC haplotypes were linked with COVID-19 mortality. In addition to COVID-19 mortality, the CICT, TICT, and TICC were significantly correlated.

CONCLUSION

The ACE1/ACE2 polymorphisms had an impact on COVID-19 infection, and these polymorphisms had different effects in various SARS-CoV-2 variants. To confirm these results, however, more research needs to be conducted.

Role of FokI rs2228570 and Tru9I rs757343 Polymorphisms in the Mortality of Patients Infected with Different Variants of SARS-CoV-2

BACKGROUND AND AIM

Low vitamin D levels are associated with the severity of coronavirus disease 19 (COVID-19). Vitamin D receptor gene polymorphisms, such as Tru9I rs757343 and FokI rs2228570, have been suggested to be potential risk factors for severe COVID-19 outcomes. This study investigated how Tru9I rs757343 and FokI rs2228570 polymorphisms influenced the mortality rate of COVID-19 in relation to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants.

METHODS

The polymerase chain reaction-restriction fragment length polymorphism assay was used to genotype Tru9I rs757343 and FokI rs2228570 genotypes in 1,734 recovered and 1,450 deceased patients.

RESULTS

Our results demonstrated that the high mortality rate was correlated with FokI rs2228570 TT genotype in all three variants but was much higher in the Omicron BA.5 variant than in the Alpha and Delta variants. Furthermore, in patients infected with the Delta variant, FokI rs2228570 CT genotype was more highly correlated with the mortality rate compared to other variants. Thus, a high mortality rate was correlated with the Tru9I rs757343 AA genotype in the Omicron BA.5 variant, whereas this relationship was not observed in the other two variants. The T-A haplotype was related to COVID-19 mortality in all three variants, but its effect was more pronounced in the Alpha variant. Moreover, the T-G haplotype was significantly associated with all three variants.

CONCLUSION

Our findings showed that the effects of Tru9I rs757343 and FokI rs2228570 polymorphisms were related to SARS-CoV-2 variants. However, further studies are still required to validate our findings.

Association between interleukin-10 gene polymorphisms (rs1800871, rs1800872, and rs1800896) and severity of infection in different SARS-CoV-2 variants

BACKGROUND

Polymorphisms in the interleukin-10 (IL10) gene have been linked to the severity of the patients infected with the viral infections. This study aimed to assess if the IL10 gene polymorphisms rs1800871, rs1800872, and rs1800896 were linked to coronavirus disease 19 (COVID-19) mortality in different severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants in the Iranian population.

METHODS

For genotyping IL10 rs1800871, rs1800872, and rs1800896, this study used the polymerase chain reaction-restriction fragment length polymorphism method in 1,734 recovered and 1,450 deceased patients.

RESULTS

The obtained finding indicated IL10 rs1800871 CC genotype in the Alpha variant and CT genotype in the Delta variant had a relationship with COVID-19 mortality; however, there was no association between rs1800871 polymorphism and the Omicron BA.5 variant. The COVID-19 mortality rate was associated with IL10 rs1800872 TT genotype in the Alpha and Omicron BA.5 variants and GT in the Alpha and Delta variants. The COVID-19 mortality rate was associated with IL10 rs1800896 GG and AG genotypes in the Delta and Omicron BA.5; nevertheless, there was no association between rs1800896 polymorphism with the Alpha variant. According to the obtained data, the GTA haplotype was the most common of haplotype in different SARS-CoV-2 variants. The TCG haplotype was related to COVID-19 mortality in the Alpha, Delta and Omicron BA.5 variants.

CONCLUSION

The IL10 polymorphisms had an impact on COVID-19 infection, and these polymorphisms had different effects in various SARS-CoV-2 variants. To verify the obtained results, further studies should be conducted on various ethnic groups.

Polymorphisms in ACE1, TMPRSS2, IFIH1, IFNAR2, and TYK2 Genes Are Associated with Worse Clinical Outcomes in COVID-19

Although advanced age, male sex, and some comorbidities impact the clinical course of COVID-19, these factors only partially explain the inter-individual variability in disease severity. Some studies have shown that genetic polymorphisms contribute to COVID-19 severity; however, the results are inconclusive. Thus, we investigated the association between polymorphisms in ACE1, ACE2, DPP9, IFIH1, IFNAR2, IFNL4, TLR3, TMPRSS2, and TYK2 and the clinical course of COVID-19. A total of 694 patients with COVID-19 were categorized as: (1) ward inpatients (moderate symptoms) or patients admitted at the intensive care unit (ICU; severe symptoms); and (2) survivors or non-survivors. In females, the rs1990760/IFIH1 T/T genotype was associated with risk of ICU admission and death. Moreover, the rs1799752/ACE1 Ins and rs12329760/TMPRSS2 T alleles were associated with risk of ICU admission. In non-white patients, the rs2236757/IFNAR2 A/A genotype was associated with risk of ICU admission, while the rs1799752/ACE1 Ins/Ins genotype, rs2236757/IFNAR2 A/A genotype, and rs12329760/TMPRSS2 T allele were associated with risk of death. Moreover, some of the analyzed polymorphisms interact in the risk of worse COVID-19 outcomes. In conclusion, this study shows an association of rs1799752/ACE1, rs1990760/IFIH1, rs2236757/IFNAR2, rs12329760/TMPRSS2, and rs2304256/TYK2 polymorphisms with worse COVID-19 outcomes, especially among female and non-white patients.

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.

Human genetic basis of severe or critical illness in COVID-19

Coronavirus Disease 2019 (COVID-19) caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to considerable morbidity and mortality worldwide. The clinical manifestation of COVID-19 ranges from asymptomatic or mild infection to severe or critical illness, such as respiratory failure, multi-organ dysfunction or even death. Large-scale genetic association studies have indicated that genetic variations affecting SARS-CoV-2 receptors (angiotensin-converting enzymes, transmembrane serine protease-2) and immune components (Interferons, Interleukins, Toll-like receptors and Human leukocyte antigen) are critical host determinants related to the severity of COVID-19. Genetic background, such as 3p21.31 and 9q34.2 loci were also identified to influence outcomes of COVID-19. In this review, we aimed to summarize the current literature focusing on human genetic factors that may contribute to the observed diversified severity of COVID-19. Enhanced understanding of host genetic factors and viral interactions of SARS-CoV-2 could provide scientific bases for personalized preventive measures and precision medicine strategies.