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We present a genome polymorphisms/machine learning approach for severe COVID-19 prognosis. Ninety-six Brazilian severe COVID-19 patients and controls were genotyped for 296 innate immunity loci. Our model used a feature selection algorithm, namely recursive feature elimination coupled with a support vector machine, to find the optimal loci classification subset, followed by a support vector machine with the linear kernel (SVM-LK) to classify patients into the severe COVID-19 group. The best features that were selected by the SVM-RFE method included 12 SNPs in 12 genes: PD-L1, PD-L2, IL10RA, JAK2, STAT1, IFIT1, IFIH1, DC-SIGNR, IFNB1, IRAK4, IRF1, and IL10. During the COVID-19 prognosis step by SVM-LK, the metrics were: 85% accuracy, 80% sensitivity, and 90% specificity. In comparison, univariate analysis under the 12 selected SNPs showed some highlights for individual variant alleles that represented risk (PD-L1 and IFIT1) or protection (JAK2 and IFIH1). Variant genotypes carrying risk effects were represented by PD-L2 and IFIT1 genes. The proposed complex classification method can be used to identify individuals who are at a high risk of developing severe COVID-19 outcomes even in uninfected conditions, which is a disruptive concept in COVID-19 prognosis. Our results suggest that the genetic context is an important factor in the development of severe COVID-19. [ABSTRACT FROM AUTHOR]

This study aims to analyze Coronavirus Disease 2019 (COVID-19)-associated copper-death genes using the Gene Expression Omnibus (GEO) dataset and machine learning, exploring their immune microenvironment correlation and underlying mechanisms. Utilizing GEO, we analyzed the GSE217948 dataset with control samples. Differential expression analysis identified 16 differentially expressed copper-death genes, and Cell type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) quantified immune cell infiltration. Gene classification yielded two copper-death clusters, with Weighted Gene Co-expression Network Analysis (WGCNA) identifying key module genes. Machine learning models (random forest, Support Vector Machine (SVM), Generalized Linear Model (GLM), eXtreme Gradient Boosting (XGBoost)) selected 6 feature genes validated by the GSE213313 dataset. Ferredoxin 1 (FDX1) emerged as the top gene, corroborated by Area Under the Curve (AUC) analysis. Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) revealed enriched pathways in T cell receptor, natural killer cytotoxicity, and Peroxisome Proliferator-Activated Receptor (PPAR). We uncovered differentially expressed copper-death genes and immune infiltration differences, notably CD8 T cells and M0 macrophages. Clustering identified modules with potential implications for COVID-19. Machine learning models effectively predicted COVID-19 risk, with FDX1's pivotal role validated. FDX1's high expression was associated with immune pathways, suggesting its role in COVID-19 pathogenesis. This comprehensive approach elucidated COVID-19-related copper-death genes, their immune context, and risk prediction potential. FDX1's connection to immune pathways offers insights into COVID-19 mechanisms and therapy.

Multisystem inflammatory syndrome in children (MIS-C) is a rare, potentially fatal complication of SARS-CoV-2 infection. Genetic defects in inflammation-related pathways have been linked to MIS-C, but additional research is needed, especially in diverse ethnic groups. The present study aimed to identify genetic variants underlying MIS-C in Brazilian patients. Whole exome sequencing was performed, focusing on genes involved in the host immune response to SARS-CoV-2. Functional assays assessed the impact of selected variants on nuclear factor-κB signaling. Nine rare, potentially deleterious variants were found in 8 of 21 patients, located in the IL17RC, IFNA10, or NLRP12 gene. Unlike the wild type NLRP12 protein, which inhibits nuclear factor-κB activation in HEK 293T cells, the mutant NLRP12 proteins have significantly reduced inhibitory properties. In conclusion, our results indicate that rare autosomal variants in immune-related genes may underlie MIS-C, highlighting the potential role of NLRP12 in its predisposition. These findings provide new insights for the appropriate management of MIS-C., Competing Interests: Potential conflict of interest . All authors: No reported conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed., (© The Author(s) 2024. Published by Oxford University Press on behalf of Infectious Diseases Society of America. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Research on SARS-CoV-2, the viral pathogen that causes COVID-19, has identified angiotensin converting enzyme 2 (ACE2) as the primary viral receptor. Several genes that encode viral cofactors, such as TMPRSS2, NRP1, CTSL, and possibly KIM1, have since been discovered. Glutamyl aminopeptidase (APA), encoded by the gene ENPEP, is another cofactor candidate due to similarities in its biological role and high correlation with ACE2 and other human coronavirus receptors, such as aminopeptidase N (APN) and dipeptidyl peptidase 4 (DPP4). Recent studies have proposed a role for ENPEP as a viral receptor in humans, and ENPEP and ACE2 are both closely involved in the renin-angiotensin-aldosterone system proposed to play an important role in SARS-CoV-2 pathophysiology. We performed bioinformatic analyses using publicly available bulk (>17,000 samples from 49 distinct tissues) and single-cell (>2.5 million cells) RNA-Seq gene expression datasets to evaluate the expression and function of the ENPEP gene. We also investigated age- and sex-related changes in ENPEP expression. Overall, expression of ENPEP was highest in the small intestine enterocyte brush border and the kidney cortex. ENPEP is widely expressed in a subset of vascular smooth muscle cells (likely pericytes) in systemic vasculature, the heart, and the brain. ENPEP is expressed at low levels in the lower respiratory epithelium. In the lung, ENPEP is most highly expressed in para-alveolar fibroblasts. Single-cell data revealed ENPEP expression in a substantial fraction of ependymal cells, a finding not reported before in humans. Age increases ENPEP expression in skeletal muscle and the prostate, while decreasing it in the heart and aorta. Angiogenesis was found to be a central biological function associated with the ENPEP gene. Tissue-specific roles, such as protein digestion and fat metabolism, were also identified in the intestine. In the liver, the gene is linked to the complement system, a connection that has not yet been thoroughly investigated. Expression of ENPEP and ACE2 is strongly correlated in the small intestine and renal cortex. Both overall and in blood vessels, ENPEP and ACE2 have a stronger correlation than many other genes associated with SARS-CoV-2, such as TMPRSS2, CTSL, and NRP1. Possible interaction between glutamyl aminopeptidase and SARS-CoV-2 should be investigated experimentally., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Arppo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

COVID-19 is severe respiratory and systemic disease with complex pathogenesis and many clinical symptoms, including symptoms from respiratory system, immunology system, cardio-vascular system, haematopoietic system and neurological system. Severe character of the disease is associated with occurrence of respiratory failure, septic shock, multiple organ dysfunctions syndrome, which can lead to patients death due to cardiac arrest. Knowledge about interactions between the virus and human proteins as well as knowledge of immunological mechanisms against infection is a key to identifying the area of virus activity and severity factors of COVID-19. Multiple variants of genes encoding proteins involved in host cell invasion by SARS-CoV-2 virus have been identified: ACE2 i TMPRSS2, TMPRSS11A (HGNC:27954), ELANE (HGNC:3309) oraz CTSL (HGNC:2537), IL-6 rs1800795 variant associated with an increased risk of COVID-19, variant rs35705950:G>T located in the promoter of the MUC5B gene (11p15.5), encoding a protein that plays a key role in maintaining the proper function of the bronchoalveolar epithelium, having a protective effect against the form of the disease requiring hospitalization of the patient, as well as GC rs2282679 gene variant in the vitamin D binding protein associated with a more severe course of COVID-19. 48 of these variants were proved to be directly specific for some populations. Novel techniques of genome analysis enabled the research of the impact of specific polymorphism variants on the severity of various diseases including, COVID-19. Genetic factors analysis can permit understanding of disease pathogenesis, which is a chance to find effective treatment and prevention methods. Collected data from literature indicate that, in the case of COVID-19 disease, there are genes polymorphisms which affect the severity course.

Tuberculosis (TB) is one of the deadliest infectious diseases globally, ranking as 13th leading cause of mortality and morbidity. According to the Global Tuberculosis Report 2022, TB claimed the lives of 1.6 million people worldwide in 2021. Among the casualties, 1 870 000 individuals with HIV co-infections contributed to 6.7% of the total fatalities, accounting TB as the second most lethal infectious disease following COVID-19. In the quest to identify biomarkers for disease progression and anti-TB therapy, microRNAs (miRNAs) have gained attention due to their precise regulatory role in gene expression in disease stages and their ability to distinguish latent and active TB, enabling the development of early TB prognostic signatures. miRNAs are stable in biological fluids and therefore will be useful for non-invasive and broad sample collection. However, their inherent lack of specificity and experimental variations may lead to false-positive outcomes. These limitations can be overcome by integrating standard protocols with machine learning, presenting a novel tool for TB diagnostics and therapeutics. This review summarizes, discusses and highlights the potential of miRNAs as a biomarker, particularly their differential expression at disease stages. The review assesses the advantages and obstacles associated with miRNA-based diagnostic biomarkers in pulmonary TB and facilitates rapid, point-of-care testing.

COVID-19 and other pandemic viruses continue being important for public health and the global economy. Therefore, it is essential to explore the pathogenesis of COVID-19 more deeply, particularly its association with inflammatory and antiviral processes. In this study, we used the RNA-seq technique to analyze mRNA and non-coding RNA profiles of human peripheral blood mononuclear cells (PBMCs) from healthy individuals after SARS-CoV-2 in vitro exposure, to identify pathways related to immune response and the regulatory post-transcriptional mechanisms triggered that can serve as possible complementary therapeutic targets. Our analyses show that SARS-CoV-2 induced a significant regulation in the expression of 790 genes in PBMCs, of which 733 correspond to mRNAs and 57 to non-coding RNAs (lncRNAs). The immune response, antiviral response, signaling, cell proliferation and metabolism are the main biological processes involved. Among these, the inflammatory response groups the majority of regulated genes with an increase in the expression of chemokines involved in the recruitment of monocytes, neutrophils and T-cells. Additionally, it was observed that exposure to SARS-CoV-2 induces the expression of genes related to the IL-27 pathway but not of IFN-I or IFN-III, indicating the induction of ISGs through this pathway rather than the IFN genes. Moreover, several lncRNA and RNA binding proteins that can act in the cis-regulation of genes of the IL-27 pathway were identified. Our results indicate that SARS-CoV-2 can regulate the expression of multiple genes in PBMCs, mainly related to the inflammatory and antiviral response. Among these, lncRNAs establish an important mechanism in regulating the immune response to the virus. They could contribute to developing severe forms of COVID-19, constituting a possible therapeutic target., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Marin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

COVID-19, caused by the SARS-CoV-2 virus, poses significant health challenges worldwide, particularly due to severe immune-related complications. Understanding the molecular mechanisms and identifying key immune-related genes (IRGs) involved in COVID-19 pathogenesis is critical for developing effective prevention and treatment strategies. This study employed computational tools to analyze biological data (bioinformatics) and a method for inferring causal relationships based on genetic variations, known as Mendelian randomization (MR), to explore the roles of IRGs in COVID-19. We identified differentially expressed genes (DEGs) from datasets available in the Gene Expression Omnibus (GEO), comparing COVID-19 patients with healthy controls. IRGs were sourced from the ImmPort database. We conducted functional enrichment analysis, pathway analysis, and immune infiltration assessments to determine the biological significance of the identified IRGs. A total of 360 common differential IRGs were identified. Among these genes, CD1C, IL1B, and SLP1 have emerged as key IRGs with potential protective effects against COVID-19. Pathway enrichment analysis revealed that CD1C is involved in terpenoid backbone biosynthesis and Th17 cell differentiation, while IL1B is linked to B-cell receptor signaling and the NF-kappa B signaling pathway. Significant correlations were observed between key genes and various immune cells, suggesting that they influence immune cell modulation in COVID-19. This study provides new insights into the immune mechanisms underlying COVID-19, highlighting the crucial role of IRGs in disease progression. These findings suggest that CD1C and IL1B could be potential therapeutic targets. The integrated bioinformatics and MR analysis approach offers a robust framework for further exploring immune responses in COVID-19 patients, as well as for targeted therapy and vaccine development., Competing Interests: Declarations. Competing interests: The authors declare no competing interests., (© 2024. The Author(s).)

Background: The vitamin D binding protein (DBP) plays a critical role in both innate and adaptive immune systems, participating in several clinical conditions, including coronavirus disease 2019 infection severity, and mortality rate. The study aimed to investigate the correlation between rs7041 and rs4588 polymorphisms in the DBP gene and Coronavirus Disease-2019 (COVID-19) severity and mortality, in patients of Suez Canal University Hospitals in Ismailia, Egypt., Methods: A case-control study enrolled 220 individuals; 140 COVID-19 patients and 80 healthy controls. Serum 25(OH) vitamin D levels were determined by the enzyme-linked immunosorbent assay (ELISA), and rs7041 and rs4588 polymorphisms of the DBP gene were genotyped using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP)., Results: The study found that both groups had vitamin D deficiency, which was considerably lower in the COVID-19 patients group compared to controls. Among COVID-19 patients, there was a significant difference in vitamin D levels according to the disease severity indicating that vitamin D levels can be used as predictors of COVID-19 severity. Negative significant correlations between genetic variants rs4588 CA genotype and genetic variants rs7041 TT genotype and COVID-19 prevalence (p = 0.006 and 0.009 respectively) were proved. No significant correlations between all the genetic variants of both rs4588 and rs7041 and COVID-19 severity (p > 0.05). Positive significant correlations between both genetic variants rs4588 CA genotype and genetic variants rs7041 TG genotype and COVID-19 mortality (p = 0.029 and 0.031 respectively)., Conclusion: vitamin D deficiency increased the severity of COVID-19. The DBP polymorphism correlated with vitamin COVID-19 prevalence and mortality., Competing Interests: Declarations. Human ethics and consent to participate: Ethical approval was obtained from the Research Ethics Committee of the Faculty of Medicine, Suez Canal University, Egypt, #5088. All subjects were informed and gave their voluntary, written informed consent. It is declared that: All methods were carried out in accordance with relevant guidelines and regulations. It was performed according to the recommendations of Good Clinical Practice and the Declaration of Helsinki (2013). Consent for publication: Not applicable. Competing interests: The authors declare no competing interests., (© 2024. The Author(s).)

Multisystem inflammatory syndrome in children (MIS-C) is a rare condition following SARS-CoV-2 infection associated with intestinal manifestations. Genetic predisposition, including inborn errors of the OAS-RNAseL pathway, has been reported. We sequenced 154 MIS-C patients and utilized a novel statistical framework of gene burden analysis, "burdenMC," which identified an enrichment for rare predicted-deleterious variants in BTNL8 (OR = 4.2, 95% CI: 3.5-5.3, P < 10-6). BTNL8 encodes an intestinal epithelial regulator of Vγ4+γδ T cells implicated in regulating gut homeostasis. Enrichment was exclusive to MIS-C, being absent in patients with COVID-19 or bacterial disease. Using an available functional test for BTNL8, rare variants from a larger cohort of MIS-C patients (n = 835) were tested which identified eight variants in 18 patients (2.2%) with impaired engagement of Vγ4+γδ T cells. Most of these variants were in the B30.2 domain of BTNL8 implicated in sensing epithelial cell status. These findings were associated with altered intestinal permeability, suggesting a possible link between disrupted gut homeostasis and MIS-C-associated enteropathy triggered by SARS-CoV-2., (© 2024 Bellos et al.)

Field evidence indicates differences in the rate and severity of COVID-19 infection among Afghans and Iranians, potentially influenced by individual genomic variances. Therefore, investigating the potential causes of these disparities holds significant clinical importance. This study aims to explore and compare variations in the genes encoding angiotensin-converting enzyme 1 (ACE1) and angiotensin-converting enzyme 2 (ACE2), along with total ACE activity levels in the blood of Afghans and Iranians with COVID-19, to assess any potential correlation with disease severity. In this case-control study, 124 Afghans and 124 Iranians with COVID-19 residing in Rafsanjan city, Iran, were examined. Blood samples were collected from all subjects, and serum was isolated for measuring total ACE activity using the kinetic method. DNA extraction was performed using the salting-out method, and gene polymorphisms of ACE1 and ACE2 were determined through polymerase chain reaction (PCR) and PCR-restriction fragment length polymorphism techniques. The DD genotype and D allele, as well as the GG genotype and G allele, were more prevalent among individuals with severe COVID-19 cases compared with those with mild symptoms, indicating an increased risk of severe infection. Although the Iranian group exhibited higher levels of these genetic components, along with longer hospital stays, intensive care unit admissions, and mortality rates than the Afghan group, the differences were not statistically significant. Furthermore, individuals with the DD genotype displayed double the total ACE activity levels compared with those with the II genotype, with the ID genotype falling in between. The presence of the DD genotype and D allele, as well as the GG genotype and G allele, likely serves as a significant risk factor for COVID-19 susceptibility, potentially heightening the risk of severe infection among Iranians compared with Afghans.

Long coronavirus disease 2019 (COVID) (LC) symptoms including pain and autonomic dysfunction are in some patients associated with small-fiber neuropathy (SFN). The pathomechanisms underlying SFN are mostly unclear. Natural killer (NK) cells play a crucial role in immune regulation, viral clearance and nerve metabolism. The aim of this study was to identify associations between development of small-fiber dysfunction dependent and independent of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, and human genetic markers associated with specific NK cell functions. The genetic markers assessed in all cohorts included: FCGR3A, IGHG1, HLA-E, NKG2C, and rs9916629. Genotyping was performed using TaqMan assays, Sanger sequencing and touchdown polymerase chain reaction. We assessed human cytomegalovirus (HCMV) IgG serostatus in all participants, and screened for anti-neuronal, anti-glial and anti-ganglioside autoantibodies in both patient cohorts. We included 50 LC patients with newly-emerged symptoms of small-fiber dysfunction after SARS-CoV-2 infection, 27 prepandemic SFN patients and 320 control persons. Markers associated with low NKG2C response, that is, deletion of the NKG2C gene and lack of prior HCMV infection (IgG seronegativity), occurred significantly more frequently in prepandemic SFN patients compared to LC patients and controls (p = 0.0109 and 0.0005, respectively). In conclusion, markers of impaired NKG2C pathways are associated with prepandemic SFN, but not with Long COVID-associated small-fiber dysfunction., (© 2024 The Author(s). Journal of Medical Virology published by Wiley Periodicals LLC.)

Purpose: Although the end of COVID-19 as a public health emergency was declared on May 2023, still new cases of the infection are reported and the risk remains of new variants emerging that may cause new surges in cases and deaths. While clinical symptoms have been rapidly defined worldwide, the basic body responses and pathogenetic mechanisms acting in patients with SARS-CoV-2 infection over time until recovery or death require further investigation. The understanding of the molecular mechanisms underlying the development and course of the disease is essential in designing effective preventive and therapeutic approaches, and ultimately reducing mortality and disease spreading., Methods: The current investigation aimed to identify the key genes engaged in SARS-CoV-2 infection. To achieve this goal high-throughput RNA sequencing of peripheral blood samples collected from healthy donors and COVID-19 patients was performed. The resulting sequence data were processed using a wide range of bioinformatics tools to obtain detailed modifications within five transcriptomic phenomena: expression of genes and long non-coding RNAs, alternative splicing, allel-specific expression and circRNA production. The in silico procedure was completed with a functional analysis of the identified alterations., Results: The transcriptomic analysis revealed that SARS-CoV-2 has a significant impact on multiple genes encoding ribosomal proteins (RPs). Results show that these genes differ not only in terms of expression but also manifest biases in alternative splicing and ASE ratios. The integrated functional analysis exposed that RPs mostly affected pathways and processes related to infection-COVID-19 and NOD-like receptor signaling pathway, SARS-CoV-2-host interactions and response to the virus. Furthermore, our results linked the multiple intronic ASE variants and exonic circular RNA differentiations with SARS-CoV-2 infection, suggesting that these molecular events play a crucial role in mRNA maturation and transcription during COVID-19 disease., Conclusions: By elucidating the genetic mechanisms induced by the virus, the current research provides significant information that can be employed to create new targeted therapeutic strategies for future research and treatment related to COVID-19. Moreover, the findings highlight potentially promising therapeutic biomarkers for early risk assessment of critically ill patients., Competing Interests: Declaration of competing interest The authors declare that they have no competing interests regarding the publication of this paper. All authors have seen and approved the final version of the manuscript., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

T cell receptors (TCR) and gene expression provide two complementary and essential aspects in T cell understanding, yet their diversity presents challenges in integrative analysis. We introduce TCRclub, a novel method integrating single-cell RNA sequencing data and single-cell TCR sequencing data using local harmony to identify functionally similar T cell groups, termed 'clubs'. We applied TCRclub to 298,106 T cells across seven datasets encompassing various diseases. First, TCRclub outperforms the state-of-the-art methods in clustering T cells on a dataset with over 400 verified peptide-major histocompatibility complex categories. Second, TCRclub reveals a transition from activated to exhausted T cells in cholangiocarcinoma patients. Third, TCRclub discovered the pathways that could intervene in response to anti-PD-1 therapy for patients with basal cell carcinoma by analyzing the pre-treatment and post-treatment samples. Furthermore, TCRclub unveiled different T-cell responses and gene patterns at different severity levels in patients with COVID-19. Hence, TCRclub aids in developing more effective immunotherapeutic strategies for cancer and infectious diseases., Competing Interests: Disclosure and competing interests statement. The authors declare no competing interests., (© 2024. The Author(s).)

Monitoring the genetic diversity and emerging mutations in SARS-CoV-2 remains crucial for understanding its evolution, given the virus's persistence in India. This study analyzes lineage dynamics, mutation screening, structural analysis, and phylodynamics of SARS-CoV-2 variants of concern (VOC) in India from October 2020 to September 2023. The predominant variants identified were alpha, beta, delta, and omicron, with delta and omicron making up 76.05 % of sequenced genomes. The B.1.617.2 lineage of the delta variant was the major contributor to COVID-19 cases before the rise of omicron. Mutation screening of non-structural proteins (NSPs) and spike proteins revealed distinct profiles for each VOC. Co-mutation patterns were analyzed, showing structural and energetic alterations. Phylogenetic analysis indicated that nsp1, nsp3, nsp4, nsp13, and nsp14 were strongly associated with increased mutation load. The study also highlighted that nsp14 and spike have similar mutability patterns, underscoring nsp14's critical role in SARS-CoV-2 infectivity and persistence. This research provides a comprehensive view of SARS-CoV-2's evolution and persistence in India., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Aim: The angiotensin-converting enzyme 2 (ACE2) and its homolog, the angiotensin converting enzyme 1 (ACE), are involved in COVID-19 physiopathology. Alterations in the enzymatic structure, expression, and/or activity may influence the risk of infection and severity of disease. For this reason, we aimed to identify different allelic forms of ACE2 G8790A and ACE I/D polymorphisms in a Brazilian cohort and evaluate their impact on ACE and ACE2 activities and their association with COVID-19 susceptibility and severity., Main Methods: A total of 549 COVID-19-negative and 270 COVID-19-positive participants from Ipaussu, Sao Paulo, Brazil, were recruited. ACE2 and ACE activities were measured by fluorogenic assays using MCA-Ala-Pro-Lys(Dnp) as the substrate for ACE2 and Z-Phe-His-Leu-OH (Z-FHL) and Hippuryl-His-Leu-OH (h-HL) as substrates for ACE. Genomic DNA was extracted from EDTA-peripheral blood, and the regions of the genes containing ACE2 G8790A and ACE I/D polymorphisms were amplified by PCR-restriction fragment length polymorphism and real-time PCR, respectively., Key Findings: The G allele of ACE2 G8790A polymorphism and D allele of ACE I/D polymorphism are associated with increased ACE and ACE2 activities. ACE activity ratio (Z-FHL/h-HL), an inflammatory marker, is increased in women with GG genotype and COVID-19-positive diagnosis., Significance: For the first time, it was demonstrated that in females, the GG genotype is associated with increased ACE activity ratio (Z-FHL/h-HL) in the COVID-19-positive group. Elevated ACE activity ratio (Z-FHL/h-HL) is highly linked to inflammation and may justify the associations between the G genotype and COVID-19 severity of symptoms and outcomes., Competing Interests: Declaration of competing interest The authors declare no conflict of interest., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: 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., Methods: The study cohort comprised 3,184 individuals diagnosed with COVID-19. We employed the RFLP approach to determine the variations of the SFTPB genes., Results: 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., Conclusions: 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., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Since the outbreak of COVID-19, genome-wide association studies have tried to discover the role of genetic predisposition in the clinical variability of this viral infection. The findings of various investigations have led to several loci for COVID-19 genetic susceptibility. Among candidate regions, the 3p21.31 locus has been in the spotlight among scientists, as it can increase the risk of severe COVID-19 by almost two fold. In addition to its substantial association with COVID-19 severity, this locus is related to some common diseases, such as diabetes, malignancies, and coronary artery disease. This locus also harbors evolutionary traces of Neanderthal genomes, which is believed to be the underlying reason for its association with COVID-19 severity. Additionally, the inheritance of this locus from Neanderthals seems to be under positive selection. This review aims to summarize a collection of evidence on the 3p21.31 locus and its impact on COVID-19 outcomes by focusing on the risk variants originated from the Neanderthal genome. Moreover, we discuss candidate genes at this locus and the possible mechanisms by which they influence the progression of COVID-19 symptoms. Better insights into human genetic susceptibility to newly emerging diseases such as COVID-19 and its evolutionary origin can provide fundamentals for risk assessment of different populations as well as the development of personalized prevention and treatments based on genomic medicine., Competing Interests: Declarations. Competing interests: The authors declare no competing interests. Ethics Approval: Not applicable. Consent to Participate: Not applicable. Consent for Publication: Not applicable., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Angiotensin-converting enzyme 2 (ACE2) receptors facilitate the entry of the causative virus severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) into target cells. Some ACE gene variants have been suggested to be involved in COVID-19 pathogenesis. So, the aim was to assess the association between ACE1 rs4646994 and ACE2 rs2285666 genes polymorphisms and the susceptibility and severity of COVID-19. This case-control study was conducted on 197 patients with COVID-19 and 197 healthy controls. ACE-1 insertion/deletion (I/D) (rs4646994) and ACE2 rs2285666 genes polymorphisms were determined by the amplification refractory mutation system- polymerase chain reaction (ARMS-PCR) technique. The DD genotype of ACE1 I/D polymorphism was associated with increased susceptibility to COVID-19 infection (p = 0.012), whereas the ID genotype of this polymorphism was associated with decreased susceptibility (p = 0.003) (significance level = 0.017). There was no significant association in allele and genotype distribution of ACE2 rs2285666 polymorphism between cases and controls. The ACE1 I/D polymorphism may be considered as a risk factor for COVID-19 susceptibility., Competing Interests: Declarations. Ethical Approval: The Ethics Committee of Birjand University of Medical Sciences, Birjand, Iran approved the study (Ethical code: IR.BUMS.REC.1399.060). Consent to Participate: A written informed consent was obtained from all participants in this study. Consent for Publication: Not applicable. Competing Interests: The authors declare no competing interests., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Variants in SCN2A are a known risk factor for developing autism spectrum disorder (ASD). Catatonia is a complex neuropsychiatric syndrome, which occurs at a higher rate in individuals with ASD. Catatonia has also been associated with COVID-19 infection, though the majority of these cases are associated with increased serum inflammatory markers. We present a case of a 15-year-old female with ASD and corticosteroid responsive stuporous catatonia to explore the relationship between SCN2A variants, ASD, COVID-19 exposure, and treatment refractory catatonia. Despite a lack of significantly elevated serum or CSF inflammatory markers, this patient showed significant improvement following initiation of corticosteroid therapy. This case presents a novel approach to the work-up and treatment of catatonia in individuals with SCN2A variants independent of elevated inflammatory markers., (© 2024 The Author(s). American Journal of Medical Genetics Part C: Seminars in Medical Genetics published by Wiley Periodicals LLC.)

Background and Aim: A wide range of clinical manifestations and outcomes, including liver injury, have been reported in COVID-19 patients. We investigated the association of three substantial gene polymorphisms (FURIN, IFNL4, and TLR2) with COVID-19 disease susceptibility and severity to help predict prognosis., Methods: 150 adult COVID-19-assured cases were categorized as follows: 78 patients with a non-severe presentation, 39 patients with severe disease, and 33 critically ill patients. In addition, 74 healthy controls were included. Clinical and laboratory evaluations were carried out, including complete and differential blood counts, D-dimer, lactate dehydrogenase (LDH), C-reactive protein (CRP), procalcitonin, ferritin, interleukin-6 (Il-6), and liver and kidney functions. FURIN (rs6226), IFNL4 (rs12979860), and TLR2 (rs3804099) genotyping allelic discrimination assays were conducted using real-time PCR., Results: The FURIN, IFNL4, and TLR2 genotypes and their alleles differed significantly between COVID-19 patients and controls, as well as between patients with severe or critical illness and those with a non-severe presentation. According to a multivariable regression analysis, FURIN (C/T + T/T) and TLR2 (T/C + C/C) mutants were associated with COVID-19 susceptibility, with odds ratios of 3.293 and 2.839, respectively. FURIN C/C and IFNL4 T/T mutants were significantly linked to severe and critical illnesses. Multivariate regression analysis showed that FURIN (G/C + C/C) genotypes and IFNL4 T/T homozygosity were independent risk factors associated with increased mortality., Conclusion: FURIN, IFNL4, and TLR2 gene variants are associated with the risk of COVID-19 occurrence as well as increased severity and poor outcomes in Egyptian patients., Competing Interests: Declarations. Competing interests: The authors declare no competing interests. Conflict of interest: Gamalat Elgedawy, Naglaa Elabd, Radwa Salem, Samah Awad, Amany Amer, Mohammad Torayah, Amal El-koa, Mai Abozeid, Belal Montaser, Hind Aboshabaan, Mervat Abdelkreem, and Marwa Helal declare that they have no conflicts of interest. Ethical considerations: The present study was approved by the National Liver Institute Ethical Committee (IRB: NLI 00003413, protocol number: 00328/2022) and was carried out in conformity with the Declaration of Helsinki. Informed consent: Each participant was made aware of the study before participating and asked to provide written informed consent for participation and publication of their data., (© 2024. The Author(s).)

The coronavirus disease 2019 (COVID-19) pandemic, which has caused a major global health crisis, primarily targets the upper and lower respiratory tract. But infected individuals may experience different clinical symptoms, ranging from asymptomatic to critical. The vitamin D receptor (VDR) and Toll-like receptor 2 (TLR2) polymorphisms play a role in the immune response. This study aimed to evaluate the effect of VDR Bsml (rs1544410) and TLR2 23bp indel variants on the clinical status of Turkish patients with COVID-19 disease. A total of 312 people, including 106 intensive care unit (ICU) patients, 103 symptomatic hospitalized patients, and 103 healthy controls, were included in the study. The VDR BsmI and TLR2 23bp indel were genotyped using polymerase chain reaction and/or restriction fragment length fraction methods. The VDR BsmI b/b genotype and b allele were higher in symptomatic patients compared to the healthy control group ( p   =  0.035). The VDR BsmI B/B and B/b genotype distribution did not differ between ICU patients and both symptomatic patients and controls ( p   >  0.05). We found that B/B:B/b+b/b and B/B+B/b:b/b were significantly different in symptomatic patients compared to controls ( p  = 0.033 and p  = 0.041, respectively). The VDR BsmI b/b genotype distribution was found to be lower in deceased patients than in living patients ( p  = 0.023). There was no significant difference between the groups in terms of TLR2 23bp indel genotype and allele distribution ( p  > 0.05). Our study results suggest that the VDR BsmI b allele may have a role in COVID-19 patients with symptomatic findings. These data need to be repeated in different ethnic and larger sample groups., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

The field of pharmacogenetics, the investigation of the influence of one or more sequence variants on drug response phenotypes, is a special case of pharmacogenomics, a discipline that takes a genome-wide approach. Massively parallel, next generation sequencing (NGS), has allowed pharmacogenetics to be subsumed by pharmacogenomics with respect to the identification of variants associated with responders and non-responders, optimal drug response, and adverse drug reactions. A plethora of rare and common naturally-occurring GPCR variants must be considered in the context of signals from across the genome. Many fundamentals of pharmacogenetics were established for G protein-coupled receptor (GPCR) genes because they are primary targets for a large number of therapeutic drugs. Functional studies, demonstrating likely-pathogenic and pathogenic GPCR variants, have been integral to establishing models used for in silico analysis. Variants in GPCR genes include both coding and non-coding single nucleotide variants and insertion or deletions (indels) that affect cell surface expression (trafficking, dimerization, and desensitization/downregulation), ligand binding and G protein coupling, and variants that result in alternate splicing encoding isoforms/variable expression. As the breadth of data on the GPCR genome increases, we may expect an increase in the use of drug labels that note variants that significantly impact the clinical use of GPCR-targeting agents. We discuss the implications of GPCR pharmacogenomic data derived from the genomes available from individuals who have been well-phenotyped for receptor structure and function and receptor-ligand interactions, and the potential benefits to patients of optimized drug selection. Examples discussed include the renin-angiotensin system in SARS-CoV-2 (COVID-19) infection, the probable role of chemokine receptors in the cytokine storm, and potential protease activating receptor (PAR) interventions. Resources dedicated to GPCRs, including publicly available computational tools, are also discussed.

Multidimensional host and viral factors determine the clinical course of COVID-19. While the virology of the disease is well studied, investigating host-related factors, including genome, transcriptome, metabolome, and exposome, can provide valuable insights into the underlying pathophysiology. We conducted integrative omics analyses to explore their intricate interplay in COVID-19. We used data from the UK Biobank (UKB), and employed single-omics, pairwise-omics, and multi-omics models to illustrate the effects of different omics layers. The dataset included COVID-19 phenotypic data as well as genome, imputed-transcriptome, metabolome and exposome data. We examined the main, interaction effects and correlations between omics layers underlying COVID-19. Single-omics analyses showed that the transcriptome (derived from the coronary artery tissue) and exposome captured 3-4% of the variation in COVID-19 susceptibility, while the genome and metabolome contributed 2-2.5% of the phenotypic variation. In the omics-exposome model, where individual omics layers were simultaneously fitted with exposome data, the contributions of genome and metabolome were diminished and considered negligible, whereas the effects of the transcriptome showed minimal change. Through mediation analysis, the findings revealed that exposomic factors mediated about 60% of the genome and metabolome's effects, while having a relatively minor impact on the transcriptome, mediating only 7% of its effects. In conclusion, our integrative-omics analyses shed light on the contribution of omics layers to the variance of COVID-19., Competing Interests: Declarations. Competing interests: The authors declare no competing interests., (© 2024. The Author(s).)

The COVID-19 pandemic has been the largest pandemic of the past century, and various genetic factors have played a significant role in this context. This study aimed to analyze the frequency and association between specific SNPs rs3806268 (NLRP3), rs4925543 (NLRP3), rs12150220 (NLRP1), rs455060 (NLRC4), rs699 (AGT), rs1137101 (LEPR), and rs1801133 (MTHFR) and severe/critical outcomes in Brazilian patients with COVID-19. A total of 100 patients were included in the study, comprising 66 cases and 34 controls. DNA was extracted, sequenced, and genotyped via next-generation sequencing (NGS). For non-parametric data, the Mann-Whitney and Kruskal-Wallis tests were used. Fisher's test and multivariate logistic regression, considering AIC and BIC criteria, were employed for risk analysis. Odds Ratios (OR) were calculated, with significance set at p<0.05. Among the seven evaluated SNPs, only rs699-GG (AGT) (OR=8.07; p=0.04) was significantly associated with an increased risk of developing severe/critical COVID-19. Moreover, a borderline protective association was noted between rs1801133-GA (MTHFR) and the disease, although lacking statistical significance. In conclusion, the SNP rs699-GG (AGT) was associated with an increased risk of severe/critical COVID-19.

Infectious disease is the result of interactions between host and pathogen and can depend on genetic variations in both. We conduct a genome-to-genome study of paired human and Mycobacterium tuberculosis genomes from a cohort of 1556 tuberculosis patients in Lima, Peru. We identify an association between a human intronic variant (rs3130660, OR = 10.06, 95%CI: 4.87 - 20.77, P = 7.92 × 10 -8 ) in the FLOT1 gene and a subclavaluee of Mtb Lineage 2. In a human macrophage infection model, we observe hosts with the rs3130660-A allele exhibited stronger interferon gene signatures. The interacting strains have altered redox states due to a thioredoxin reductase mutation. We investigate this association in a 2020 cohort of 699 patients recruited during the COVID-19 pandemic. While the prevalence of the interacting strain almost doubled between 2010 and 2020, its infection is not associated with rs3130660 in this recent cohort. These findings suggest a complex interplay among host, pathogen, and environmental factors in tuberculosis dynamics., Competing Interests: Competing interests: The authors declare no competing interests., (© 2024. The Author(s).)

Aim: To elucidate the important cellular and molecular drivers of pulmonary long COVID, we generated a single-cell transcriptomic map of the airway mucosa using bronchial brushings from patients with long COVID who reported persistent pulmonary symptoms., Method: Adults with and without long COVID were recruited from the general community in Greater Vancouver, Canada. The cohort was divided into those with pulmonary long COVID, which was defined as persons with new or worsening respiratory symptoms following ≥12 weeks from their initial acute severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (n=9); and control subjects defined as SARS-CoV-2 infected persons whose acute respiratory symptoms had fully resolved or individuals who had no history of acute coronavirus disease 2019 (COVID-19) (n=9). These participants underwent bronchoscopy from which a single cell suspension was created from bronchial brush samples and then sequenced., Results: A total of 56 906 cells were recovered for the downstream analysis, with 34 840 cells belonging to the pulmonary long COVID group, which strikingly showed a unique cluster of neutrophils in the pulmonary long COVID group (p<0.05). Ingenuity Pathway Analysis revealed that the neutrophil degranulation pathway was enriched across epithelial cell clusters. Differential gene expression analysis between the pulmonary long COVID and control groups demonstrated upregulation of inflammatory chemokines and epithelial barrier dysfunction across epithelial cell clusters, as well as over-expression of mucin genes across secretory cell clusters., Conclusion: A single-cell transcriptomic landscape of the small airways suggest that neutrophils may play a significant role in mediating the chronic small airway inflammation driving pulmonary symptoms of long COVID., Competing Interests: Conflict of interest: F.V. Geraveli reports grants from MiTACS Accelerate. S. Milne reports payment or honoraria for lectures, presentations, manuscript writing or educational events from Chiesi Australia, The Limbic Australia and Research Review Australia, support for attending meetings from Sanofi Australia, Chiesi Australia and AstraZeneca, and a leadership role with Thoracic Society of Australia and New Zealand (NSW/ACT). R.L. Eddy reports grants from Michael Smith Health Research BC, Canadian Respiratory Research Network and Natural Sciences and Engineering Research Council Canada, consultancy fees from VIDA Diagnostics Inc., payment or honoraria for lectures, presentations, manuscript writing or educational events from Thorasys Thoracic Medical Systems Inc., and support for attending meetings from Canadian Institutes of Health Research – Institute of Circulatory and Respiratory Health. C. Gilchrist reports grants from Canadian institutes of Health Research. J. Leipsic reports consultancy fees from Heartflow, and stock (or stock options) with Heartflow. J.M. Leung reports support for the present study from Canadian Institutes of Health Research, grants from Canadian Institutes of Health Research and BC Lung Foundation, payment or honoraria for lectures, presentations, manuscript writing or educational events from BC Lung Foundation and University of British Columbia, participation on a data safety monitoring board with Enhance Quality Safety and Patient experience in Chronic Obstructive Pulmonary Disorder (EQuiP COPD), and leadership roles with Canadian Respiratory Research Network and the CanCOLD Study. D.D. Sin reports payment or honoraria for lectures, presentations, manuscript writing or educational events from GSK, AstraZeneca and Boehringer Ingelheim, and participation on a data safety monitoring board or advisory board with NHLBI. The remaining authors have no potential conflicts of interest to disclose., (Copyright ©The authors 2024.)

The RNA genome of the SARS-CoV-2 virus encodes for four structural proteins, 16 non-structural proteins and nine putative accessory factors. A high throughput analysis of interactions between human and SARS-CoV-2 proteins identified multiple interactions of the structural Nucleocapsid (N) protein with RNA processing factors. The N-protein, which is responsible for packaging of the viral genomic RNA was found to interact with two RNA helicases, UPF1 and MOV10 that are involved in nonsense-mediated mRNA decay (NMD). Using a combination of biochemical and biophysical methods, we investigated the interaction of the SARS-CoV-2 N-protein with NMD factors at a molecular level. Our studies led us to identify the core NMD factor, UPF2, as an interactor of N. The viral N-protein engages UPF2 in multipartite interactions and can negate the stimulatory effect of UPF2 on UPF1 catalytic activity. N also inhibits UPF1 ATPase and unwinding activities by competing in binding to the RNA substrate. We further investigate the functional implications of inhibition of UPF1 catalytic activity by N in mammalian cells. The interplay of SARS-CoV-2 N with human UPF1 and UPF2 does not affect decay of host cell NMD targets but might play a role in stabilizing the viral RNA genome., (© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Immunomodulatory variants that lead to the loss or gain of specific protein interactions often manifest only as organismal phenotypes in infectious disease. Here, we propose a network-based approach to integrate genetic variation with a structurally resolved human protein interactome network to prioritize immunomodulatory variants in COVID-19. We find that, in addition to variants that pass genome-wide significance thresholds, variants at the interface of specific protein-protein interactions, even though they do not meet genome-wide thresholds, are equally immunomodulatory. The integration of these variants with single-cell epigenomic and transcriptomic data prioritizes myeloid and T cell subsets as the most affected by these variants across both the peripheral blood and the lung compartments. Of particular interest is a common coding variant that disrupts the OAS1-PRMT6 interaction and affects downstream interferon signaling. Critically, our framework is generalizable across infectious disease contexts and can be used to implicate immunomodulatory variants that do not meet genome-wide significance thresholds., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)

Multisystem inflammatory syndrome in children (MIS-C) has been reported in patients with inborn errors of immunity (IEI), providing insights into disease pathogenesis. Here, we present the first case of MIS-C in a child affected by Wiskott-Aldrich syndrome (WAS) gene mutation, elucidating underlying predisposing factors and the involved inflammatory pathways. Genetic analysis revealed a frameshift truncating variant in the WAS gene, resulting in WAS protein expression between mild and severe forms, despite a clinical phenotype resembling X-linked thrombocytopenia (XLT). IL-1β secretion by LPS-stimulated peripheral blood mononuclear cells from patient during MIS-C was lower compared to healthy subjects but increased during follow-up. Conversely, the percentage of ASC (apoptosis-associated speck-like protein containing a CARD) specks in the patient's circulating monocytes during the acute phase was higher than in healthy subjects. The type I interferon (IFN) signature during MIS-C was normal, in contrast to the raised IFN signature measured far from the acute event. This case supports the association of IEI with MIS-C, potentially linked to delayed immune responses to SARS-CoV-2. The XLT phenotype underlies a subclinical immunodysregulation involving the NLRP3 inflammasome and the type-I IFN response., Competing Interests: Declarations. Ethical Approval: The study was approved by the Local Ethics Committee and conducted in accordance with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Patients or parents/legal guardians provided written informed consent. Consent to Participate: The authors confirm that a relevant local consent has been signed by the patient and/or the legally authorized representative. Consent for Publication: The authors confirm that a relevant local consent has been signed by the patient and/or the legally authorized representative. Competing Interests: MG reports grants and personal fees from Novartis, grants and personal fees from SOBI, outside the submitted work. FP, AB, IP, SV and RC report speaker fee from SOBI. The other authors declared that they have no conflict of interest., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Antigenically distinct SARS-CoV-2 variants increase the reinfection risk for vaccinated and previously exposed population due to antibody neutralization escape. COVID-19 severity depends on many variables, including host immune responses, which differ depending on genetic predisposition. To address this, we perform immune profiling of female mice with different genetic backgrounds -transgenic K18-hACE2 and wild-type 129S1- infected with the severe B.1.351, 30 days after exposure to the milder BA.1 or severe H1N1. Prior BA.1 infection protects against B.1.351-induced morbidity in K18-hACE2 but aggravates disease in 129S1. H1N1 protects against B.1.351-induced morbidity only in 129S1. Enhanced severity in B.1.351 re-infected 129S1 is characterized by an increase of IL-10, IL-1β, IL-18 and IFN-γ, while in K18-hACE2 the cytokine profile resembles naïve mice undergoing their first viral infection. Enhanced pathology during 129S1 reinfection cannot be attributed to weaker adaptive immune responses to BA.1. Infection with BA.1 causes long-term differential remodeling and transcriptional changes in the bronchioalveolar CD11c+ compartment. K18-hACE2 CD11c+ cells show a strong antiviral defense expression profile whereas 129S1 CD11c+ cells present a more pro-inflammatory response upon restimulation. In conclusion, BA.1 induces cross-reactive adaptive immune responses in K18-hACE2 and 129S1, but reinfection outcome correlates with differential CD11c+ cells responses in the alveolar space., Competing Interests: Competing interests: The M.S. laboratory has received unrelated funding support in sponsored research agreements from Phio Pharmaceuticals, 7Hills Pharma, ArgenX BV and Moderna. The A.G.-S. laboratory has received research support from GSK, Pfizer, Senhwa Biosciences, Kenall Manufacturing, Blade Therapeutics, Avimex, Johnson & Johnson, Dynavax, 7Hills Pharma, Pharmamar, ImmunityBio, Accurius, Nanocomposix, Hexamer, N-fold LLC, Model Medicines, Atea Pharma, Applied Biological Laboratories and Merck, outside of the reported work. A.G.-S. has consulting agreements for the following companies involving cash and/or stock: Castlevax, Amovir, Vivaldi Biosciences, Contrafect, 7Hills Pharma, Avimex, Pagoda, Accurius, Esperovax, Farmak, Applied Biological Laboratories, Pharmamar, CureLab Oncology, CureLab Veterinary, Synairgen, Paratus and Pfizer, outside of the reported work. A.G.-S. has been an invited speaker in meeting events organized by Seqirus, Janssen, Abbott and Astrazeneca. A.G.-S. is inventor on patents and patent applications on the use of antivirals and vaccines for the treatment and prevention of virus infections and cancer, owned by the Icahn School of Medicine at Mount Sinai, New York. The remaining authors declare no competing interests., (© 2024. The Author(s).)

Throughout the course of the SARS-CoV-2 pandemic, genetic variation has contributed to the spread and persistence of the virus. For example, various mutations have allowed SARS-CoV-2 to escape antibody neutralization or to bind more strongly to the receptors that it uses to enter human cells. Here, we compared two methods that estimate the fitness effects of viral mutations using the abundant sequence data gathered over the course of the pandemic. Both approaches are grounded in population genetics theory but with different assumptions. One approach, tQLE, features an epistatic fitness landscape and assumes that alleles are nearly in linkage equilibrium. Another approach, MPL, assumes a simple, additive fitness landscape, but allows for any level of correlation between alleles. We characterized differences in the distributions of fitness values inferred by each approach and in the ranks of fitness values that they assign to sequences across time. We find that in a large fraction of weeks the two methods are in good agreement as to their top-ranked sequences, i.e. as to which sequences observed that week are most fit. We also find that agreement between the ranking of sequences varies with genetic unimodality in the population in a given week., (Creative Commons Attribution license.)

Background: There may be potential associations between various pathogens, antibody immune responses, and breast cancer (BC), but the specific mechanisms and causal relationships remain unclear., Methods: First, multiple Mendelian randomization (MR) methods were used for univariable MR analysis to explore potential causal relationships between 34 antibody immune responses (related to 12 pathogens), 46 antibody immune responses (related to 13 pathogens), antibody responses post-COVID-19 vaccination, 731 immune cell types, and various BC subtypes (including overall BC, ER-positive, ER-negative, Luminal A, Luminal B, Luminal B HER2-negative, HER2-positive, and triple-negative BC). The primary results were then subjected to reverse MR analysis, heterogeneity testing using Cochran's Q, and horizontal pleiotropy testing. Robust findings were further used to design mediation pathways involving antibody immune responses, immune cells, and BC. After adjusting the effect estimates using multivariable MR (MVMR), a two-step mediation analysis was conducted to explore mediation pathways and mediation proportions. Finally, linkage disequilibrium score regression (LDSC) was applied to analyze the genetic correlation between phenotypes along mediation pathways, and cross-phenotype association analysis (CPASSOC) was performed to identify pleiotropic SNPs among three phenotypes along these pathways. Bayesian colocalization tests were conducted on pleiotropic SNPs using the multiple-trait-coloc (moloc)., Results: We identified potential causal relationships between 15 antibody immune responses to 8 pathogens (Hepatitis B virus, Herpes Simplex Virus 2, Human Herpesvirus 6, Polyomavirus 2, BK polyomavirus, Cytomegalovirus, Helicobacter pylori, Chlamydia trachomatis), 250 immune cell phenotypes, and various BC subtypes. MVMR-adjusted mediation analysis revealed four potential mediation pathways. LDSC results showed no significant genetic correlation between phenotypes pairwise. CPASSOC analysis identified two potential mediation pathways with common pleiotropic SNPs (rs12121677, rs281378, rs2894250). However, none of these SNPs passed the Bayesian colocalization test by moloc. These results excluded horizontal pleiotropy, stabilizing MR analysis results., Conclusion: This study utilized MR methods to analyze potential causal relationships between various antibody immune responses, immune cell types, and BC subtypes, identifying four potential regulatory mediation pathways. The findings of this study offer potential targets and research directions for virus-related and immunotherapy-related studies, providing a certain level of theoretical support. However, limitations such as GWAS sample size constraints and unclear specific pathophysiological mechanisms need further improvement and validation in future studies., Competing Interests: Declarations Ethics approval and consent to participate Since this study utilized de-identified public data, there was no need for additional approval. All original ethical approvals are available in the original literature and on the website. Competing interests The authors declare no competing interests., (© 2024. The Author(s).)

Background: It has been reported that COVID-19 patients have an increased risk of developing IBS; however, the underlying genetic mechanisms of these associations remain largely unknown. The aim of this study was to investigate potential shared SNPs, genes, proteins, and biological pathways between COVID-19 and IBS by assessing pairwise genetic correlations and cross-trait genetic analysis., Materials and Methods: We assessed the genetic correlation between three COVID-19 phenotypes and IBS using linkage disequilibrium score regression (LDSC) and high-definition likelihood (HDL) methods. Two different sources of IBS data were combined using METAL, and the Multi-trait analysis of GWAS (MTAG) method was applied for multi-trait analysis to enhance statistical robustness and discover new genetic associations. Independent risk loci were examined using genome-wide complex trait analysis (GCTA)-conditional and joint analysis (COJO), multi-marker analysis of genomic annotation (MAGMA), and functional mapping and annotation (FUMA), integrating various QTL information and methods to further identify risk genes and proteins. Gene set variation analysis (GSVA) was employed to compute pleiotropic gene scores, and combined with immune infiltration algorithms, IBS patients were categorized into high and low immune infiltration groups., Results: We found a positive genetic correlation between COVID-19 infection, COVID-19 hospitalization, and IBS. Subsequent multi-trait analysis identified nine significantly associated genomic loci. Among these, eight genetic variants were closely related to the comorbidity of IBS and COVID-19. The study also highlighted four genes and 231 proteins associated with the susceptibility to IBS identified through various analytical strategies and a stratification approach for IBS risk populations., Conclusions: Our study reveals a shared genetic architecture between these two diseases, providing new insights into potential biological mechanisms and laying the groundwork for more effective interventions., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Liu, Li, Gao, Liu, Chen, Zhao, Zhao and Dong.)

The therapeutic use of synthetic message RNA (mRNA) has been validated in COVID-19 vaccines and shows enormous potential in developing infectious and oncological vaccines. However, double-stranded RNA (dsRNA) byproducts generated during the in vitro transcription (IVT) process can diminish the efficacy of mRNA-based therapeutics and provoke innate immune responses. Existing methods to eliminate dsRNA byproducts are often cumbersome and labor-intensive. In this study, we revealed that a loose mRNA secondary structure and more unpaired U bases in the sequence generally lead to the formation of more dsRNA byproducts during the IVT process. We further developed a predictive model for dsRNA byproducts formation based on sequence characteristics to guide the optimization of mRNA sequences, helping to minimize unwanted immune response and improve the protein expression of mRNA products. Collectively, our study provides novel clues and methodologies for developing effective mRNA therapeutics with minimized dsRNA byproducts and increased protein expression., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Background: Since the beginning of the coronavirus disease 2019 (COVID-19) outbreak, dynamic mutations in the receptor-binding domain (RBD) in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein have altered the pathogenicity of the variants of the virus circulating in Indonesia. This research analyzes the mutation trend in various RBD samples from Indonesia published in the Global Initiative on Sharing All Influenza Data (GISAID) database using genomic profiling., Method: Patients in Indonesia infected with SARS-CoV-2, whose samples have been published in genomic databases, were selected for this research. The collected data were processed for analysis following several bioinformatics protocols: visualization into phylogenetic trees, 3D rendering, and the assessment of mutational impact., Results: In Indonesia, there are 25 unique SARS-CoV-2 clades and 318 unique SARS-CoV-2 RBD mutations from the earliest COVID-19 sample to samples collected in 2022, with T478K being the most prevalent RBD mutation and 22B being the most abundant clade. The Omicron variant has a lower docking score, higher protein destabilization, and higher K D than the Delta variant and the original virus., Conclusions: The study findings reveal a decreasing trend in virus pathogenicity as a potential trade-off to increase transmissibility via mutations in RBD over the years.

Despite all the efforts acquired in four years of the COVID-19 pandemic, the path to a full understanding of the biological mechanisms involved in this disease remains complex. This is partly due to a combination of factors, including the inherent characteristics of the infection, socio-environmental elements, and the variations observed within both the viral and the human genomes. Thus, this study aimed to investigate the correlation between genetic host factors and the severity of COVID-19. We conducted whole exome sequencing (WES) of 124 patients, categorized into severe and non-severe groups. From the whole exome sequencing (WES) association analysis, four variants (rs1770731 in CRYBG1, rs7221209 in DNAH17, rs3826295 in DGKE, and rs7913626 in CFAP46) were identified as potentially linked to a protective effect against the clinical severity of COVID-19, which may explain the less severe impact of COVID-19 on the Northern Region. Our findings underscore the importance of carrying out more genomic studies in populations living in the Amazon, one of the most diverse from the point of view of the presence of rare and specific alleles. To our knowledge, this is the first WES study of admixed individuals from the Brazilian Amazon to investigate genomic variants associated with the clinical severity of COVID-19., (© 2024. The Author(s).)

Respiratory infections caused by RNA viruses are a major contributor to respiratory disease due to their ability to cause annual epidemics with profound public health implications. Influenza A virus (IAV) infection can affect a variety of host signaling pathways that initiate tissue regeneration with hyperplastic and/or dysplastic changes in the lungs. Although these changes are involved in lung recovery after IAV infection, in some cases, they can lead to serious respiratory failure. Despite being ubiquitously observed, there are limited data on the regulation of long-term recovery from IAV infection leading to normal or dysplastic repair represented by inflammation-to-metaplasia transition in mice or humans. To address this knowledge gap, we used integrative bioinformatics analysis with further verification in vivo to elucidate the dynamic molecular changes in IAV-infected murine lung tissue and identified the core genes ( Birc5 , Cdca3 , Plk1 , Tpx2 , Prc1. Rrm2 , Nusap1 , Spag5 , Top2a , Mcm5 ) and transcription factors ( E2F1 , E2F4 , NF-YA , NF-YB , NF-YC ) involved in persistent lung injury and regeneration processes, which may serve as gene signatures reflecting the long-term effects of IAV proliferation on the lung. Further analysis of the identified core genes revealed their involvement not only in IAV infection but also in COVID-19 and lung neoplasm development, suggesting their potential role as biomarkers of severe lung disease and its complications represented by abnormal epithelial proliferation and oncotransformation.

Background: SARS-CoV-2, a highly contagious coronavirus, is responsible for the global pandemic of COVID-19 in 2019. Currently, it remains uncertain whether SARS-CoV-2 possesses oncogenic or oncolytic potential in influencing tumor progression. Therefore, it is important to evaluate the clinical and functional role of SARS-CoV-2 on tumor progression., Methods: Here, we integrated bioinformatic analysis of COVID-19 RNA-seq data from the GEO database and performed functional studies to explore the regulatory role of SARS-CoV-2 in solid tumor progression, including lung, colon, kidney and liver cancer., Results: Our results demonstrate that infection with SARS-CoV-2 is associated with a decreased expression of genes associated with cancer proliferation and metastasis in lung tissues from patients diagnosed with COVID-19. Several cancer proliferation or metastasis related genes were frequently downregulated in SARS-CoV-2 infected intestinal organoids and human colon carcinoma cells. In vivo and in vitro studies revealed that SARS-CoV-2 nucleocapsid (N) protein inhibits colon and kidney tumor growth and metastasis through the N-terminal (NTD) and the C-terminal domain (CTD). The molecular mechanism indicates that the N protein of SARS-CoV-2 interacts with YBX1, resulting in the recruitment of PKM mRNA into stress granules mediated by G3BP1. This process ultimately destabilizes PKM expression and suppresses glycolysis., Conclusion: Our study reveals a new function of SARS-CoV-2 nucleocapsid protein on tumor progression., (© 2024. The Author(s).)

Background: Current observational data indicates that ischemic stroke (IS) affects a significant proportion of people with COVID-19. The current study sought to evaluate the causal relationship between COVID-19 and IS., Methods: A two-sample Mendelian randomization (2 S-MR) approach was used to probe the relationship between genetic determinants of three COVID-19 parameters (SARS-CoV-2 infection, COVID-19 hospitalization, and severe COVID-19) and the incidence of IS based on genome-wide association studies (GWAS) data. Using this 2 S-MR technique, expression quantitative trait loci (eQTL) and GWAS studies were further assessed for overlap to identify common causative genes associated with severe COVID-19 and IS., Results: IVW approaches indicated the genetic variants linked to COVID-19 hospitalization (OR 1.04, 95% CI 1.01-1.08, p = 0.023) and severe COVID-19 (OR 1.03, 95% CI 1.01-1.05, p = 0.007) were both significantly linked to greater odds of IS. In contrast, there was no causal association between genetic SARS-CoV-2 infection susceptibility and the occurrence of IS (OR 0.99, 95% CI 0.92-1.06, p = 0.694). Ten shared causal genes (TNFSF8, CFL2, TPM1, C15orf39, LHFPL6, FAM20C, SPAG9, KCNJ2, PELI1, and HLA-L) were established as possible mediators of the interplay between severe COVID-19 and the development of IS, with these genes primarily being enriched in immune-related and renin-angiotensin-aldosterone system pathways., Conclusion: These findings indicate a possible causative relationship between IS risk and COVID-19 severity, offering crucial new information for managing COVID-19 patients. Promising options for therapeutic therapies for severe COVID-19 complicated by IS include the common genes found in the present study., (© 2024. The Author(s).)

Variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continue to emerge and evade immunity, resulting in breakthrough infections in vaccinated populations. There is an urgent need for the development of vaccines with broad protective effects. In this study, we selected hotspot mutations in the receptor-binding domain (RBD) that contribute to immune escape properties and integrated them into the original RBD protein to obtain a complex RBD protein (cRBD), and we found cRBDs have broad protective effects against SARS-CoV-2 variants. Three cRBDs were designed in our study. Compared with the BA.1 RBD protein, the cRBDs induced the production of higher levels of broader-spectrum neutralizing antibodies, suggesting stronger and broader protective efficacy. In viral challenge experiments, cRBDs were more effective than BA.1 RBD in attenuating lung pathologic injury. Among the three constructs, cRBD3 showed optimal broad-spectrum and protective effects and is a promising candidate for a broad-spectrum SARS-CoV-2 vaccine. In conclusion, immunization with cRBDs triggered immunity against a wide range of variants, including those that emerged after we had completed designing the cRBDs. This study preliminarily explores and validates the feasibility of incorporating hotspot mutations that contribute to immune evasion into the RBD to expand the activity spectrum of antigen-induced antibodies., (© 2024. The Author(s).)

When using the reverse-transcription quantitative polymerase chain reaction (RT-qPCR) technique for quantitative assessment of microRNA (miRNA) expression, normalizing data using a stable endogenous gene is essential; however, no universally adequate reference gene exists. Therefore, in this study, we aimed to determine, via the RNA-Seq technique, the most adequate endogenous normalizer for the expression assessment of plasma miRNAs in patients with coronavirus disease 2019 (COVID-19). Two massive sequencing procedures were performed (a) to identify differentially expressed miRNAs between patients with COVID-19 and healthy volunteers (n = 12), and (b) to identify differentially expressed miRNAs between patients with severe COVID-19 and those with mild COVID-19 (n = 8). The endogenous normalizer candidates were selected according to the following criteria: (1) the miRNA must have a fold regulation = 1; (2) the miRNA must have a p-value > 0.990; and (3) the miRNAs that were discovered the longest ago should be selected. Four miRNAs (hsa-miR-34a-3p, hsa-miR-194-3p, hsa-miR-17-3p, and hsa-miR-205-3p) met all criteria and were selected for validation by RT-qPCR in a cohort of 125 patients. Of these, only hsa-miR-205-3p was eligible endogenous normalizers in the context of COVID-19 because their expression was stable between the compared groups., (© 2024. The Author(s).)

Since previous studies have suggested that the RNAs of human endogenous retrovirus (HERV) might be involved in regulating innate immunity, it is important to investigate the HERV transcriptome patterns in innate immune cell types such as CD14 + monocytes. Using single cell RNA-seq datasets from resting or stimulated PBMCs mapped to 3,220 known discrete autonomous proviral HERV loci, we found individual-specific variation in HERV transcriptomes between HERV loci in CD14 + monocytes. Analysis of paired datasets from the same individual that were cultured in vitro with LPS or without (i.e. control) revealed 36 HERV loci in CD14 + monocytes that were detected only after activation. To extend our analysis to in vivo activated CD14 + monocytes, we used two scRNA-seq datasets from studies that had demonstrated activation of circulating CD14 + monocytes in patients with physical trauma or patients hospitalized with COVID-19 infections. For direct comparison between the trauma and COVID-19 datasets, we first analyzed 1.625 billion sequence reads from a composite pangenome control of 21 normal individuals. Comparison of the sequence read depth of HERV loci in the trauma or COVID-19 samples to the pangenome control revealed that 39 loci in the COVID-19 and 11 HERV loci in the trauma samples were significantly different (Mann-Whitney U test), with 9 HERV loci shared between the COVID-19 and trauma datasets. The capacity to compare HERV loci transcriptome patterns in innate immune cells, like CD14 + monocytes, across different pathological conditions will lead to greater understanding of the physiological role of HERV expression in health and disease., (© 2024. The Author(s).)

The COVID-19 pandemic has led to the emergence of acute and chronic post-COVID syndromes, which present diverse clinical manifestations. The underlying pathophysiology of these conditions is not yet fully understood, but genetic instability has been proposed as a potential contributing factor. This study aimed to explore the differential impact of physical and psychological health factors on genetic instability in individuals with acute and chronic post-COVID syndromes. In this study, three groups of subjects were analyzed: a control group, an acute post-COVID group, and a chronic post-COVID group, with a total of 231 participants. The participants were assessed using a questionnaire for long-COVID-19COVID, and female participants reported more symptoms than male participants in areas related to fatigue, memory, mental health, and well-being during the chronic phase. Genetic instability was assessed using the comet assay, and participants' physical and psychological profiles were evaluated. The overall results showed no significant differences in DNA damage, as measured by the comet assay, among the three groups, suggesting that genetic instability, as assessed by this method, may not be a primary driver of the distinct clinical presentations observed in post-COVID syndromes. However, when gender was considered, male participants in the acute long COVID group exhibited higher levels of genetic instability compared to females. Multiple linear regression analysis revealed that gender, age, and waist circumference were significant predictors of DNA damage. Among females in the acute group, sexual health, and eye-related symptoms significantly influenced the increase in DNA damage. These findings indicate the need for further investigation on the gender-specific differences in genetic instability and their potential implications for the pathophysiology of post-COVID syndromes. Exploring alternative markers of genetic instability and the interplay between genetic, inflammatory, and cellular processes could provide valuable insights for the management of these debilitating post-viral sequelae., (© The Author(s) 2024. Published by Oxford University Press on behalf of the UK Environmental Mutagen Society. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Purpose: The study aimed to investigate the connection between an intronic variant in the ABO gene (rs657152) and the severity of COVID-19 in terms of clinical symptoms, haematological complications, inflammatory markers, and lung lesions., Methods: After applying exclusion criteria, the study included 240 patients divided into 3 groups: 88 Outpatients, 84 Ward-hospitalized, and 68 ICU-admitted/failed patients. The tetra-ARMS PCR method was used to genotype ABO polymorphism in the patient. Paraclinical tests of patients at the time of admission (before receiving conventional treatments) included levels of C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR), as well as a complete blood count (CBC). Also, the severity of lung lesions was evaluated based on the results of spiral computed tomography (CT) of the chest during admission., Results: The statistical analysis using the ANOVA test revealed significant differences in the mean values of allele frequencies (p-value = 0.0020) and genotype proportions (p-value = 0.0017) among clinical groups. The study also found a notable difference in ABO polymorphism across different levels of the inflammatory marker CRP, but not with the ESR levels. Furthermore, the study showed a significant difference in the distribution of lung lesion severity and ABO polymorphism among different clinical groups., Conclusion: To conclude, our findings supported the substantial impact of ABO polymorphism rs657152 on the severity of COVID-19 in Iranian patients, specifically concerning haematological complications, inflammatory markers, and lung lesions. The study underscored the protective effect of the AC genotype and the detrimental impact of the CC genotype on clinical manifestations., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 American Society for Histocompatibility and Immunogenetics. Published by Elsevier Inc. All rights reserved.)

Studies have suggested an association between polymorphisms in class I genes of the major histocompatibility complex, specifically the human leukocyte antigen (HLA), and susceptibility to SARS-CoV-2. To explore this, 135 individuals with positive serological tests for SARS-CoV-2 were recruited. All the samples were collected before the advent of vaccines, avoiding immunization effects. Participants were divided into high and low neutralizing antibody titer groups, and polymorphisms in HLA-A, HLA-B, and HLA-DRB1 genes were examined using PCR-SSO. Allele prevalence in the study population was compared to the National Bone Marrow Volunteer Donors Register (REDOME) in São Paulo and between the high and low titer groups within the study population. Results indicated that the HLA-B*15 polymorphism was more prevalent in the COVID-19 positive group compared to the control population (COVID-19 = 0.1370; Control = 0.0875; p = 0.0067). The HLA-B*18 polymorphism was less prevalent in the COVID-19 group (COVID-19 = 0.0185; Control = 0.0534; p = 0.0064). Additionally, the HLA-A*30 polymorphism was more prevalent in the high titer group within the (high = 0.10937; low = 0.02816; p = 0.0125). Other polymorphisms showed no significant differences. These findings align with international studies, suggesting these genes plays a role in COVID-19 pathophysiology, however, further research is required to fully understand their impact., (© 2024 Wiley Periodicals LLC.)

Background: COVID-19 is one of the worst pandemics worldwide, and its diagnosis and treatment are of great importance. Recent evidence has shown that circular RNA (circRNA deregulation is involved in different infectious diseases. In the present study, we tried to investigate the expression of cirRNAs RasGEF1B (hsa&#95;circ&#95;0127052), HIPK3 (hsa&#95;circ&#95;100783), and GATAD2A (hsa&#95;circ&#95;0050236) in COVID-19 patients. Methods: Using quantitative real-time polymerase chain reaction, the expression profiles of candidate circRNAs were detected in 57 COVID-19 patients and 51 healthy controls. As part of the process of identifying a candidate circRNA that is sensitive and specific, receiver operating characteristic (ROC) curves were also utilized. Results: Our results showed higher expression levels of circRasGEF1B and circHIPK3 in COVID-19 patients, however, circGATAD2A showed no statistical difference between patients and controls. ROC curves showed that circRasGEF1B (hsa&#95;circ&#95;0127052), and HIPK3 (hsa&#95;circ&#95;100783) had favorable specificity and sensitivity, whereas GATAD2A (hsa&#95;circ&#95;0050236) did not. Conclusion: In summary, our study highlights the potential of CircRasGEF1B (hsa&#95;circ&#95;0127052) and HIPK3 (hsa&#95;circ&#95;100783) as biomarkers for COVID-19 diagnosis due to their high expression levels and demonstrated diagnostic accuracy. These findings suggest that circRNAs could play a crucial role in the development of diagnostic tools for COVID-19, providing a new avenue for early detection and management of the disease.

Background: SARS-CoV-2 infection can result in long-term chronic cardiovascular (CV) damage after the acute phase of the illness. COVID-19 frequently causes active myocarditis, SARS-CoV-2 can directly infect and kill cardiac cells, causing severe pathology and dysfunction across the organs and cells. Till now, the pathogenesis of COVID-19-associated cardiac injuries has not been understood, but there are several factors that contribute to the progression of cardiac injuries, such as genetic, dietary, and environmental. Among them ranges of host genetic factor including metabolizing, inflammation, and coagulation related genes have a role to contribute the cardiac injuries induced by COVID-19. Hereditary DNA sequence variations contribute to the risk of illness in almost all of these diseases. Hence, we comprehended the occurrence of genetic variations of metabolizing, inflammation and coagulation-related genes in the general population, their expression in various diseases, and their impact on cardiac injuries induced by COVID-19., Method: We utilized multiple databases, including PubMed (Medline), EMBASE, and Google Scholar, for literature searches., Description: The genes involved in metabolism (APOE, MTHFR), coagulation (PAI-1, ACE2), and immune factors (CRP, ESR, and troponin I) may have a role in the progression of COVID-19-associated cardiac injuries. The risk factors for CVD are significantly varied between and within different regions. In healthy individuals, the ACE I allele is responsible for the predisposition to CAD, but the ACE D haplotype is responsible for susceptibility and severity, which ultimately leads to heart failure. Patients who carry the T allele of rs12329760 in the TMPRSS2 gene are at risk for developing the severe form of COVID-19. IL-6 (rs1800796/rs1800795) polymorphism is associated with an increased mortality rate and susceptibility to severe COVID-19 disease. While the putative role of IL-6 associated with chronic, inflammatory diseases like cardiac and cerebrovascular disease is well known., Conclusion: The occurrence of genetic variations in the ACE-2, AGT, DPP-IV, TMPRSS2, FUIRN, IL-4, IL-6, IFN-γ, and CYP2D6 genes is varied among different populations. Examining the correlation between these variations and their protein levels and cardiac injuries induced by COVID-19 may provide valuable insights into the pathogenesis of cardiac injuries induced by COVID-19., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier GmbH. All rights reserved.)

Background: COVID-19 is associated with acute risk of major adverse cardiac events (MACE), including myocardial infarction, stroke, and mortality (all-cause). However, the duration and underlying determinants of heightened risk of cardiovascular disease and MACE post-COVID-19 are not known., Methods: Data from the UK Biobank was used to identify COVID-19 cases (n=10 005) who were positive for polymerase chain reaction (PCR + )-based tests for SARS-CoV-2 infection (n=8062) or received hospital-based International Classification of Diseases version-10 (ICD-10 ) codes for COVID-19 (n=1943) between February 1, 2020 and December 31, 2020. Population controls (n=217 730) and propensity score-matched controls (n=38 860) were also drawn from the UK Biobank during the same period. Proportional hazard models were used to evaluate COVID-19 for association with long-term (>1000 days) risk of MACE and as a coronary artery disease risk equivalent. Additional analyses examined whether COVID-19 interacted with genetic determinants to affect the risk of MACE and its components., Results: The risk of MACE was elevated in COVID-19 cases at all levels of severity (HR, 2.09 [95% CI, 1.94-2.25]; P <0.0005) and to a greater extent in cases hospitalized for COVID-19 (HR, 3.85 [95% CI, 3.51-4.24]; P <0.0005). Hospitalization for COVID-19 represented a coronary artery disease risk equivalent since incident MACE risk among cases without history of cardiovascular disease was even higher than that observed in patients with cardiovascular disease without COVID-19 (HR, 1.21 [95% CI, 1.08-1.37]; P <0.005). A significant genetic interaction was observed between the ABO locus and hospitalization for COVID-19 ( P interaction =0.01), with risk of thrombotic events being increased in subjects with non-O blood types (HR, 1.65 [95% CI, 1.29-2.09]; P =4.8×10 -5 ) to a greater extent than subjects with blood type O (HR, 0.96 [95% CI, 0.66-1.39]; P =0.82)., Conclusions: Hospitalization for COVID-19 represents a coronary artery disease risk equivalent, with post-acute myocardial infarction and stroke risk particularly heightened in non-O blood types. These results may have important clinical implications and represent, to our knowledge, one of the first examples of a gene-pathogen exposure interaction for thrombotic events., Competing Interests: Dr Hazen reports being named as co-inventors on pending and issued patents held by the Cleveland Clinic relating to cardiovascular diagnostics and therapeutics. Dr Hazen also reports having received royalty payments for inventions or discoveries related to cardiovascular diagnostics or therapeutics from Cleveland Heart Laboratory, a fully owned subsidiary of Quest Diagnostics, and Procter & Gamble. Dr Hazen is a paid consultant for Zehna Therapeutics and Proctor & Gamble and has received research funds from Zehna Therapeutics, Proctor & Gamble, Pfizer, and Roche Diagnostics. All other authors have no competing financial interests or personal relationships to declare related to the work reported in this article.