COVID-19: The Effect of Host Genetic Variations on Host-Virus Interactions

Impact of Inflammation-Related Genes on COVID-19: Prospective Study at Turkish Cohort

The pandemic coronavirus disease 2019 (COVID-19) has caused a high mortality rate and poses a significant threat to the population. The disease may progress with mild symptoms or may cause the need for intensive care, depending on many factors. In this study, it was aimed to determine if there is a tendency due to genetic factors in COVID-19 patients. Ninety-four of 188 patients with mild clinical and 94 with severe clinical symptoms were included in the study. The targeted panel including coagulopathy (F2, F5), viral invasion (ACE2), and inflammation (CXCL8, IFNAR2, IFNL4, IL10, IL2, IL6, IRF7, TLR3, TLR7, TNF) related genes was performed sequenced by the next generation sequencing (NGS). The variants found were classified and univariate analyses were performed to select candidate variables for logistic model. Risk factors and variants were compared. It was revealed that the presence of 2 or more risk factors caused the disease to progress severely (p < 0.001). Heterozygous IRF7:c.1357-23dup variant had a 2.5 times higher risk for mild disease compared to severe disease. Other variants were found to be more significant in mild disease. Since polymorphic variants were not evaluated in the literature, the findings of our study could not be compared with the literature. However, as variants that may be effective in the severity of infections may differ according to ethnicity. This study has the feature of being a guide for subsequent studies to be carried out especially in Turkish population. Clinical course of the COVID-19 is likely to depend on a variety of risk factors, including age, sex, clinical status, immunology and genetic factors.

Insights into the Structural Complexities of SARS-CoV-2 for Therapeutic and Vaccine Development

SARS-CoV-2 is a disease that endangers both human life and the economy. There was an 11- month period of relative evolutionary standstill following the appearance of SARS-CoV-2 in late 2019. However, the emergence of clusters of mutations known as' variants of concern 'with variable viral properties such as transmissibility and antigenicity defined the evolution of SARS-CoV-2. Several efforts have been made in recent months to understand the atomic level properties of SARS-CoV-2. A review of the literature on SARS-CoV-2 mutations is offered in this paper. The critical activities performed by different domains of the SARS-CoV-2 genome throughout the virus's entry into the host and overall viral life cycle are discussed in detail. These structural traits may potentially pave the way for the development of a vaccine and medication to combat the SARS-CoV-2 sickness.

The effect of l-arginine supplementation on amelioration of oxygen support in severe COVID-19 pneumonia

BACKGROUND & AIMS

l-Arginine (l-Arg) has been shown to help reduce respiratory support requirements in coronavirus disease 2019 (COVID-19), in an Italian study. We investigated the effect of l-Arg supplementation on the reduction in respiratory support for patients with severe COVID-19 pneumonia in an Indian population.

METHODS

A parallel-group, triple-blinded, randomized controlled trial (RCT) was conducted on patients with severe COVID-19 pneumonia on oxygen (O₂) support. Patients received either 3 g of oral l-Arg or placebo, daily under supervision, until they were off O₂ support, or for a maximum of 10 days, whichever was earlier. The primary outcome was cessation in O₂ support. Other outcomes were time to cessation of O₂ support, duration of hospitalization, and incidence of adverse thrombotic events.

RESULTS

We did an intention-to-treat analysis on 74 patients who were randomized into l-Arg (n = 38) or placebo group (n = 36). There were no significant differences between the two groups in the outcomes. At end of the study, 28 patients (73.6%) in l-Arg and 26 patients (72.2%) in the placebo group were weaned off oxygen support. The median number of days to the cessation of O₂ support estimated using Kaplan Meir survival analysis, was 3 days in the l-Arg group (95% confidence interval [CI]: 1.2, 4.7) and 5 days in the placebo group (95% CI, 4.1,5.8); P = 0.27.

CONCLUSION

In this group of patients with severe COVID-19 pneumonia, l-Arg supplementation did not show any significant difference in outcomes when compared to placebo supplementation.

Individual genetic variability mainly of Proinflammatory cytokines, cytokine receptors, and toll-like receptors dictates pathophysiology of COVID-19 disease

Innate and acquired immunity responses are crucial for viral infection elimination. However, genetic variations in coding genes may exacerbate the inflammation or initiate devastating cytokine storms which poses severe respiratory conditions in coronavirus disease-19 (COVID-19). Host genetic variations in particular those related to the immune responses determine the patients' susceptibility and COVID-19 severity and pathophysiology. Gene polymorphisms such as single nucleotide polymorphisms (SNPs) of interferons, TNF, IL1, IL4, IL6, IL7, IL10, and IL17 predispose patients to the severe form of COVID-19 or severe acute respiratory syndrome coronavirus-2 (SARS-COV-2). These variations mainly alter the gene expression and cause a severe response by B cells, T cells, monocytes, neutrophils, and natural killer cells participating in a cytokine storm. Moreover, cytokines and chemokines SNPs are associated with the severity of COVID-19 and clinical outcomes depending on the corresponding effect. Additionally, genetic variations in genes encoding toll-like receptors (TLRs) mainly TLR3, TLR7, and TLR9 have been related to the COVID-19 severe respiratory symptoms. The specific relation of these mutations with the novel variants of concern (VOCs) infection remains to be elucidated. Genetic variations mainly within genes encoding proinflammatory cytokines, cytokine receptors, and TLRs predispose patients to COVID-19 disease severity. Understanding host immune gene variations associated with the SARS-COV-2 infection opens insights to control the pathophysiology of emerging viral infections.

The Complexity of SARS-CoV-2 Infection and the COVID-19 Pandemic

The pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) led to the death of millions of people worldwide and thousands more infected individuals developed sequelae due to the disease of the new coronavirus of 2019 (COVID-19). The development of several studies has contributed to the knowledge about the evolution of SARS-CoV2 infection and the disease to more severe forms. Despite this information being debated in the scientific literature, many mechanisms still need to be better understood in order to control the spread of the virus and treat clinical cases of COVID-19. In this article, we carried out an extensive literature review in order to bring together, in a single article, the biological, social, genetic, diagnostic, therapeutic, immunization, and even socioeconomic aspects that impact the SAR-CoV-2 pandemic. This information gathered in this article will enable a broad and consistent reading of the main aspects related to the current pandemic.

Application of digital education in undergraduate nursing and medical interns during the COVID-19 pandemic: A systematic review

BACKGROUND

Due to the rapid spread of coronavirus disease 2019 (COVID-19) around the world, the World Health Organization (WHO) declared it a global pandemic on March 11, 2020. This declaration had an unprecedented impact on health profession education, especially the clinical clerkship of nursing and medical students. The teaching hospitals had to suspend traditional bedside clinical teaching and switch to digital education.

OBJECTIVE

To systematically synthesize the available literature on the application of digital education in undergraduate nursing and medical interns during the COVID-19 pandemic.

DESIGN

A systematic review informed by PRISMA guidelines.

DATA SOURCES

Five electronic databases were systematically searched: PubMed, Embase, MEDLINE (OVID), CINAHL and the Cochrane Library.

REVIEW METHODS

The retrieved articles were screened at the title, abstract, and full text stages. The Mixed-Methods Appraisal Tool (MMAT) was used to assess the quality of quantitative and mixed-method studies. Then, two reviewers extracted the quantitative data of the included studies.

RESULTS

A total of 4596 studies were identified following a comprehensive search, and 16 studies were included after removing duplicates and screening, which focused on undergraduate nursing students (3 studies) and medical students (13 studies). We found that the standalone digital education modalities were as effective as conventional learning for knowledge and practice. Different educational technologies have different effects on the knowledge and practice of interns.

CONCLUSION

Digital education plays a significant role in distance training for nursing and medical interns both now and in the future. The overall risk of bias was high, and the quality of evidence was found to be variable. There is a need for further research designing more quasi-experimental studies to assess the effectiveness of standalone digital education interventions for the remote training of nursing or medical interns to be fully prepared for emergencies.

Association of ABO blood group with COVID-19 severity, acute phase reactants and mortality

INTRODUCTION

Coronavirus disease 2019 (COVID-19) is the ongoing pandemic with multitude of manifestations and association of ABO blood group in South-East Asian population needs to be explored.

METHODS

It was a retrospective study of patients with COVID-19. Blood group A, B, O, and AB were identified in every participant, irrespective of their RH type and allotted groups 1, 2,3, and 4, respectively. Correlation between blood group and lab parameters was presented as histogram distributed among the four groups. Multivariate regression and logistic regression were used for inferential statistics.

RESULTS

The cohort included 1067 patients: 521 (48.8%) participants had blood group O as the prevalent blood type. Overall, 10.6% COVID-19-related mortality was observed at our center. Mortality was 13.9% in blood group A, 9.5% in group B, 10% in group C, and 10.2% in AB blood group (p = 0.412). IL-6 was elevated in blood group A (median [IQR]: 23.6 [17.5,43.8]), Procalcitonin in blood group B (median [IQR]: 0.54 [0.3,0.7]), D-dimers and CRP in group AB (median [IQR]: 21.5 [9,34]; 24 [9,49], respectively). Regarding severity of COVID-19 disease, no statistical difference was seen between the blood groups. Alteration of the acute phase reactants was not positively associated with any specific blood type.

CONCLUSION

In conclusion, this investigation did not show significant association of blood groups with severity and of COVID-19 disease and COVID-19-associated mortality.

Conceptual causal framework to assess the effect of SARS-CoV-2 variants on COVID-19 disease severity among hospitalized patients

BACKGROUND

SARS-CoV-2 strains evolve continuously and accumulate mutations in their genomes over the course of the pandemic. The severity of a SARS-CoV-2 infection could partly depend on these viral genetic characteristics. Here, we present a general conceptual framework that allows to study the effect of SARS-CoV-2 variants on COVID-19 disease severity among hospitalized patients.

METHODS

A causal model is defined and visualized using a Directed Acyclic Graph (DAG), in which assumptions on the relationship between (confounding) variables are made explicit. Various DAGs are presented to explore specific study design options and the risk for selection bias. Next, the data infrastructure specific to the COVID-19 surveillance in Belgium is described, along with its strengths and weaknesses for the study of clinical impact of variants.

DISCUSSION

A well-established framework that provides a complete view on COVID-19 disease severity among hospitalized patients by combining information from different sources on host factors, viral factors, and healthcare-related factors, will enable to assess the clinical impact of emerging SARS-CoV-2 variants and answer questions that will be raised in the future. The framework shows the complexity related to causal research, the corresponding data requirements, and it underlines important limitations, such as unmeasured confounders or selection bias, inherent to repurposing existing routine COVID-19 data registries.

TRIAL REGISTRATION

Each individual research project within the current conceptual framework will be prospectively registered in Open Science Framework (OSF identifier: https://doi.org/10.17605/OSF.IO/UEF29 ). OSF project created on 18 May 2021.