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mRNA is a new class of drugs that has the potential to revolutionize the treatment of brain tumors. Thanks to the COVID-19 mRNA vaccines and numerous therapy-based clinical trials, it is now clear that lipid nanoparticles (LNPs) are a clinically viable means to deliver RNA therapeutics. However, LNP-mediated mRNA delivery to brain tumors remains elusive. Over the past decade, numerous studies have shown that tumor cells communicate with each other via small extracellular vesicles, which are around 100 nm in diameter and consist of lipid bilayer membrane similar to synthetic lipidbased nanocarriers. We hypothesized that rationally designed LNPs based on extracellular vesicle mimicry would enable efficient delivery of RNA therapeutics to brain tumors without undue toxicity. We synthesized LNPs using four components similar to the formulation used in the mRNA COVID19 vaccines (Moderna and Pfizer): ionizable lipid, cholesterol, helper lipid and polyethylene glycol (PEG)-lipid. For the in vitro screen, we tested ten classes of helper lipids based on their abundance in extracellular vesicle membranes, commercial availability, and large-scale production feasibility while keeping rest of the LNP components unchanged. The transfection kinetics of GFP mRNA encapsulated in LNPs and doped with 16 mol% of helper lipids was tested using GL261, U87 and SIM-A9 cell lines. Several LNP formations resulted in stable transfection (upto 5 days) of GFP mRNA in all the cell lines tested in vitro. The successful LNP candidates (enabling >80% transfection efficacy) were then tested in vivo to deliver luciferase mRNA to brain tumors via intrathecal administration in a syngeneic glioblastoma (GBM) mouse model, which confirmed luciferase expression in brain tumors in the cortex. LNPs were then tested to deliver Cre recombinase mRNA in syngeneic GBM mouse model genetically modified to express tdTomato under LoxP marker cassette that enabled identification of LNP targeted cells. mRNA was successfully delivered to tumor cells (70-80% transfected) and a range of different cells in the tumor microenvironment, including tumor-associated macrophages (80-90% transfected), neurons (31- 40% transfected), neural stem cells (39-62% transfected), oligodendrocytes (70-80% transfected) and astrocytes (44-76% transfected). Then, LNP formulations were assessed for delivering Cas9 mRNA and CD81 sgRNA (model protein) in murine syngeneic GBM model to enable gene editing in brain tumor cells. Sanger sequencing showed that CRISPR-Cas9 editing was successful in ~94% of brain tumor cells in vivo. In conclusion, we have developed a library of safe LNPs that can transfect GBM cells in vivo with high efficacy. This technology can potentially be used to develop novel mRNA therapies for GBM by delivering single or multiple mRNAs and holds great potential as a tool to study brain tumor biology.
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Background: COVID-19 has been associated with cerebral microbleeds (CMB). Previously, an association of ApoE4 with COVID-19 severity and CMBs in autopsy was found. In this study, we investigated if carrying the Apoe4 allele relates to the number of CMBs in magnetic resonance imaging (MRI) in patients recovered from COVID-19. Material(s) and Method(s): Adult patients recovered from COVID-19 and a control group without a history of COVID-19 was recruited. Exclusion criteria were major neurologic disease, developmental disability or pregnancy. The participants underwent brain MRI 6 months after infection, and a blinded neuroradiologist analyzed the findings. ApoE was genotyped using a microarray. Statistical analysis was performed using the statistical software R. A negative binomial model was chosen based on the distribution of CMBs. Result(s): Of the 216 subjects that underwent MRI, 168 consented to genetic testing, additionally 2 patients were excluded due to extensive CMBs and 1 due to diffuse axonal injury. We included 113 COVID-19 patients (49 ICU-treated, 29 ward-treated and 35 home-isolated) and 52 controls. The most prevalent comorbidities were hypertension, asthma and diabetes. CMBs was found in 47 subjects, with the number of CMBs ranging from 0 to 26. The ApoeE4 allele was carried by 37%, equally distributed among the groups. After adjustment, age (aRR = 1.06, p = 0.007) and COVID-19 (aRR = 2.59, p = 0.038) were independently associated with CMBs. The ApoE4 allele (aRR = 2.16, p = 0.07, CI = 0.94-5.10) was not significant. Conclusion(s): Age and previous COVID-19, but not possession of the ApoeE4 allele, were independently associated with the number of CMBs.
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Coronavirus disease 2019 (COVID-19) is a fatal pandemic viral disease caused by the severe acute respiratory syndrome corona virus type-2 (SARS-CoV-2). The aim of this study is to observe the associations of IL-6, SARS-COV-2 viral load (RNAemia), IL- 6 gene polymorphism and lymphocytes and monocytes in peripheral blood with disease severity in COVID-19 patients. This study was carried out from March 2021 to January 2022. RT-PCR positive 84 COVID-19 patients and 28 healthy subjects were enrolled. Blood was collected to detect SARS-COV-2 viral RNA (RNAemia) by rRT-PCR, serum IL-6 level by chemiluminescence method, SNPs of IL-6 by SSP-PCR, immunophenotyping of lymphocytes and monocyte by flow cytometry. Serum IL-6 level (pg/ml) was considerably high among critical patients (102.02 +/- 149.7) compared to severe (67.20 +/- 129.5) and moderate patients (47.04 +/- 106.5) and healthy controls (3.5 +/- 1.8). Serum SARS-CoV-2 nucleic acid positive cases detected mostly in critical patients (39.28%) and was correlated with extremely high IL-6 level and high mortality (R =.912, P < 0.001). Correlation between IL-6 and monocyte was statistically significant with disease severity (severe group, p < 0.001, and 0.867*** and critical group p < 0.001 and 0.887***). In healthy controls, moderate, severe and critically ill COVID-19 patients, IL-6 174G/C (rs 1800795) GG genotype was 82.14%, 89.20%, 67.85% and 53.57% respectively. CC and GC genotype had strong association with severity of COVID-19 when compared with GG genotype. Significant statistical difference found in genotypes between critical and moderate groups (p < 0.001, OR-10.316, CI-3.22-23.86), where CC genotype was associated with COVID-19 severity and mortality. The absolute count of T cell, B cell, NK cell, CD4+ T cells and CD8+ T cells were significantly decreased in critical group compared to healthy, moderate and severe group (P < 0.001). Exhaustion marker CD94/NKG2A was increased on NK cells and CD8+ cytotoxic T cell among critical and severe group. Absolute count of monocyte was significantly increased in critical group (P < 0.001). Serum IL-6, IL-6 174 G/C gene and SARS-CoV-2 RNAaemia can be used in clinical practice for risk assessment;T cell subsets and monocyte as biomarkers for monitoring COVID-19 severity. Monoclonal antibody targeting IL-6 receptor and NKG2A for therapeutics may prevent disease progression and decrease morbidity and mortality.Copyright © 2023 Elsevier Inc.
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Background/Objectives: Corticosteroids are widely used for the treatment of coronavirus disease (COVID)-19 caused by SARS-CoV- 2 as they attenuate the immune response with their antiinflammatory properties. Genetic polymorphisms of glucocorticoid receptor, metabolizing enzymes or transporters may affect treatment response to dexamethasone. The aim of this study was to evaluate the association of polymorphisms in glucocorticoid pathway with disease severity and duration of dexamethasone treatment in COVID-19 patients. Method(s): Our study included 107 hospitalized COVID-19 patients treated with dexamethasone. We isolated DNA from peripheral blood and genotyped all samples for polymorphisms in NR3C1 (rs6198, rs33388), CYP3A4 (rs35599367), CYP3A5 (rs776746), GSTP1 (rs1695, rs1138272), GSTM1/GSTT1 deletions and ABCB1 (1045642, rs1128503, rs2032582 Fisher's and Mann- Whitney tests were used in statistical analysis. Result(s): The median (min-max) age of the included patients was 62 (26-85) years, 69.2 % were male and 30.8 % female and they had moderate (1.9 %), severe (83 %) or critical (15.1 %) disease. NR3C1 rs6198 polymorphism was associated with more severe disease in additive genetic model (P = 0.022). NR3C1 rs6198, ABCB1 rs1045642 and ABCB1 rs1128503 polymorphisms were associated with a shorter duration of dexamethasone treatment in additive (P = 0.048, P = 0.047 and P = 0.024, respectively) and dominant genetic models (P = 0.015, P = 0.048 and P = 0.020, respectively), while carriers of the polymorphic CYP3A4 rs35599367 allele required longer treatment with dexamethasone (P = 0.033). Other polymorphisms were not associated with disease severity or dexamethasone treatment duration. Conclusion(s): Genetic variability of glucocorticoid pathway genes was associated with the duration of dexamethasone treatment of COVID-19 patients.
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RAG mutations cause various phenotypes: SCID, Omenn syndrome (OS), leaky SCID (LS) and combined immunodeficiency (CID). We had previously reported autoantibodies targeting IFN-alpha, IFN-omega in patients with RAG deficiency. However, how the presence of such antibodies correlated with the severity of the clinical phenotype and with the recombination activity of the mutant proteins was unknown. To address this, we have studied anti-cytokine antibodies in 118 patients with RAG defects (SCID, n = 28;OS, n = 29;LS, n = 29;CID, n = 32), and in 42 controls (protocols NCT03394053 and NCT03610802). RAG mutant proteins associated with CID and LS retained 35.6 +/- 4.3 (mean +/- SE) and 29.8 +/- 5.1% recombination activity respectively, compared to wildtype protein, which was significantly higher than the recombination activity of the mutant RAG proteins associated with OS (4.1 +/- 1.5%) and SCID (5.7 +/- 2.1%) (p < 0.0001). Among 32 CID patients, 24 tested positive for anti-IFN-alpha and 21 for anti-IFN-omega antibodies. Among 29 LS patients, 15 had high levels of anti-IFN-alpha and 13 of anti-IFN-omega antibodies. A minority of the CID and LS patients had also high levels of anti-IFN-beta and anti-IL-22 antibodies. By contrast, none of the OS patients tested positive for anti-cytokine antibodies. High levels of anti-IFN-alpha and anti-IFN-omega antibodies correlated with their neutralizing activity as demonstrated in vitro by analysis of STAT1 phosphorylation upon stimulation of healthy donor monocytes in the presence of the appropriate cytokine and patient's or control plasma. Severe viral infections were recorded in 26/41 patients with CID and LS who tested positive and in 7/20 who tested negative for anti-IFN-alpha and/or anti-IFN-omega antibodies (p <0.05). Among those with anti-IFN antibodies, EBV (n = 8), CMV (n = 6), HSV (n = 5), VZV (n = 4) and adenovirus (n = 4) infections were more common. Two patients had COVID-19, which was fatal in one. Presence of the rubella virus was documented in 5 patients with anti-type I IFN antibodies. These results demonstrate that high levels of neutralizing anti-IFN-alpha and anti-IFN-omega antibodies are common in patients with RAG mutations manifesting as CID and LS, but not in those with OS, and that their presence is associated with a high risk of serious viral infections.Copyright © 2023 Elsevier Inc.
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Aims: We wish to evaluate what proportion of hospitalised Covid-19 among those with diabetes was acquired during hospital admission. Method(s): Using the Scottish Care Information -Diabetes patient record, we linked RT-PCR test results through a study window from 01/01/2020 to 08/08/2021 to hospital discharge data. We defined nosocomial Covid-19 infection as having a first positive RT-PCR test in a window from 5 days post-admission to the admission end date. Result(s): From 127,477 people with at least one hospital admission in the study window, there were 4070 (3.2%) who tested positive with an RT-PCR test. Of those who tested positive, 1674 (41%) met the nosocomial infection definition. We found that nosocomial infection was more likely in females (OR 1.28, 95% CI 1.14, 1.47 p < 0.01). The risk also increased with each year of age (OR 1.03, 95% CI 1.02, 1.03 p < 0.01), with those over 60 being twice as likely to acquire Covid-19 in hospital than their younger counterparts. We found that diabetes type was not significantly related to hospital-acquired infection (OR 0.99, 95% CI 0.76, 1.29 p = 0.95). Conclusion(s): These results show that almost half of all hospitalisations with Covid-19 in those with diabetes were hospital-acquired. This emphasises the importance of nosocomial infection and its prevention in the impact of the pandemic on the population with diabetes.
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Background/Objectives: One of the most remarkable features of SARS-CoV-2 infection is that a large proportion of individuals are asymptomatic while others experience progressive, even lifethreatening acute respiratory distress syndrome, and some suffer from prolonged symptoms (long COVID). The contribution of host genetics to susceptibility and severity of infectious disease is well-documented, and include rare monogenic inborn errors of immunity as well as common genetic variation. Studies on genetic risk factors for long COVID have not yet been published. Method(s): We compared long COVID (1534) to COVID-19 patients (96,692) and population controls (800,353) using both questionnaire and EHR- based studies. First meta-analysis of 11 GWAS studies from 8 countries did not show genome-wide significant associations. Result(s): Testing 24 variants earlier associated to COVID-19 susceptibility or severity by COVID-19 Host Genetics Initiative showed genetic variation in rs505922, an intronic variant in ABO blood group gene, to be associated with long COVID compared to population controls (OR = 1.16, 95% CI: 1.07-1.27, p = 0.033). (Within-COVID analysis gave similar OR, but was not significant after conservative Bonferroni correction (OR = 1.17, 95% CI: 1.06-1.30, p = 092)). Conclusion(s): The first data freeze of the Long COVID Host Genetics Initiative suggests that the O blood group is associated with a 14% reduced risk for long COVID. The following data freezes with growing sample sizes will possibly elucidate long COVID pathophysiology and pave the way for possible treatments for long lasting COVID symptoms.
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Objective: To describe the prevalence of alcohol consumption before and during the COVID-19 pandemic and to analyze the factors associated with this behavior during the period of social distancing among Brazilian adolescents. Method(s): Cross-sectional study using data from the ConVid Adolescents survey, carried out via the Internet between June and September 2020. The prevalence of alcohol consumption before and during the pandemic, as well as association with sociodemographic variables, mental health, and lifestyle were estimated. A logistic regression model was used to assess associated factors. Result(s): 9,470 adolescents were evaluated. Alcohol consumption decreased from 17.70% (95%CI 16.64-18.85) before the pandemic to 12.80% (95%CI 11.85-13.76) during the pandemic. Alcohol consumption was associated with the age group of 16 and 17 years (OR=2.9;95%CI 1.08-1.53), place of residence in the South (OR=1.82;95%CI 1.46-2.27) and Southeast regions (OR=1.33;95%CI 1.05-1.69), having three or more close friends (OR=1.78;95%CI 1.25-2.53), reporting worsening sleep problems during the pandemic (OR=1.59;95%CI 1.20-2.11), feeling sad sometimes (OR=1,83;95%CI 1,40-2,38) and always (OR=2.27;95%CI 1.70-3.05), feeling always irritated (OR=1,60;95%CI 1,14-2,25), being a smoker (OR=13,74;95%CI 8.63-21.87) and a passive smoker (OR=1.76;95%CI 1.42-2.19). Strict adherence to social distancing was associated with lower alcohol consumption (OR=0.40;95%CI 0.32-0.49). Conclusion(s): The COVID-19 pandemic led to a decrease in consumption of alcoholic beverages by Brazilian adolescents, which was influenced by sociodemographic and mental health factors, adherence to social restriction measures and lifestyle in this period. Managers, educators, family and the society must be involved in the articulation of Public Policies to prevent alcohol consumption.Copyright © 2023 A Epidemio e uma publicacao da Associacao Brasileira de Saude Coletiva-ABRASCO.
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Introduction Patients with hematological malignancies, including multiple myeloma (MM), experience suboptimal responses to SARS-CoV-2 vaccination. Monoclonal Gammopathy of Undetermined Significance (MGUS) and Smoldering Multiple Myeloma (SMM) are precursors to MM and exhibit altered immune cell composition and function. The SARS-CoV-2 pandemic and the subsequent population-wide vaccination represent an opportunity to study the real-life immune response to a common antigen. Here, we present updated results from the IMPACT study, a study we launched in November 2020 to characterize the effect of plasma cell premalignancy on response to SARS-CoV2 vaccination (vx). Methods We performed: (i) ELISA for SARS-CoV-2-specific antibodies on 1,887 peripheral blood (PB) samples (237 healthy donors (HD), and 550 MGUS, 947 SMM, and 153 MM patients) drawn preand post-vx;(ii) single-cell RNA, T cell receptor (TCR), and B cell receptor (BCR) sequencing (10x Genomics) on 224 PB samples (26 HD, and 20 MGUS, 48 SMM, and 24 MM patients) drawn preand post-vx;(iii) plasma cytokine profiling (Olink) on 106 PB samples (32 HD, and 38 MGUS and 36 SMM patients) drawn pre- and post-vx;and (iv) bulk TCR sequencing (Adaptive Biotechnologies) on 8 PB samples from 4 patients (2 MGUS, 2 SMM) drawn pre- and post-vx. Results Patients with MGUS and SMM achieved comparable antibody titers to HD two months post-vx. However, patient titers waned significantly faster, and 4 months post-vx we observed significantly lower titers in both MGUS (Wilcoxon rank-sum, p=0.030) and SMM (p=0.010). These results indicate impaired humoral immune response in patients with MGUS and SMM.At baseline, the TCR repertoire was significantly less diverse in patients with SMM compared to HD (Wilcoxon rank-sum, p=0.039), while no significant difference was observed in the BCR repertoire (p=0.095). Interestingly, a significant increase in TCR repertoire diversity was observed post-vx in patients with SMM (paired t-test, p=0.014), indicating rare T cell clone recruitment in response to vaccination. In both HD and patients, recruited clones showed upregulation of genes associated with CD4+ naive and memory T cells, suggesting preservation of the T cell response in SMM, which was confirmed by bulk TCR-sequencing in 4 patients.Lastly, by cytokine profiling, we observed a defect in IL-1beta and IL-18 induction post-vx in patients with SMM compared to HD (Wilcoxon rank-sum, p=0.047 and p=0.015, respectively), two key monocyte-derived mediators of acute inflammation, suggesting an altered innate immune response as well. Conclusion Taken together, our findings highlight that despite the absence of clinical manifestations, plasma cell premalignancy is associated with defects in both innate and adaptive immune responses. Therefore, patients with plasma cell premalignancy may require adjusted vaccination strategies for optimal immunization.
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Background/Objectives: Despite intensive research of the novel coronavirus SARS-CoV-2 and COVID-2019 caused by it, factors affecting the severity of the disease remains poorly understood. Clinical manifestations of COVID-2019 may vary from asymptomatic form to pneumonia, acute respiratory distress syndrome (ARDS) and multiorgan failure. Features of individual genetic landscape of patients can play an important role in development of the pathological process of COVID-19. In this regard the purpose of this study was to investigate the influence of polymorphic variants in genes (ADD1, CAT, IL17F, IL23R, NOS3, IFNL3, IL6, F2, F13A1, ITGB3, HIF1A, MMP12, VEGFA), associated with cardiovascular, respiratory and autoimmune pathologies, on the severity of COVID-19 and post-COVID syndrome in patients from Russia. Method(s): The study included 200 patients recovered from COVID-19. Two groups of patients were formed in accordance with clinical manifestations: with mild and moderate forms of the disease. The polymorphic variants were analysed with real-time PCR using commercial kits (Syntol). Result(s): 13 SNPs (rs4961;rs1001179;rs612242;rs11209026;rs2070744;rs8099917;rs1800795;rs1799963;rs5985;rs5918;rs11549465;rs652438;rs699947) were genotyped and comparative analysis of allele frequency distribution was carried out in two groups of patients recovered from COVID-2019. Conclusion(s): Identification of polymorphic variants in genome associated with severity of pathological processes in patients infected with SARS-CoV-2 can contribute to the identification of individuals with an increased risk of severe infection process and can also serve as a basis for developing personalized therapeutic approaches to the treatment of post-COVID syndrome.
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Host genetic susceptibility is a key risk factor for severe illness associated with COVID-19. Despite numerous studies of COVID-19 host genetics, our knowledge of COVID-19-associated variants is still limited, and there is no resource comprising all the published variants and categorizing them based on their confidence level. Also, there are currently no computational tools available to predict novel COVID-19 severity variants. Therefore, we collated 820 host genetic variants reported to affect COVID-19 susceptibility by means of a systematic literature search and confidence evaluation, and obtained 196 high-confidence variants. We then developed the first machine learning classifier of severe COVID-19 variants to perform a genome-wide prediction of COVID-19 severity for 82,468,698 missense variants in the human genome. We further evaluated the classifier's predictions using feature importance analyses to investigate the biological properties of COVID-19 susceptibility variants, which identified conservation scores as the most impactful predictive features. The results of enrichment analyses revealed that genes carrying high-confidence COVID-19 susceptibility variants shared pathways, networks, diseases and biological functions, with the immune system and infectious disease being the most significant categories. Additionally, we investigated the pleiotropic effects of COVID-19-associated variants using phenome-wide association studies (PheWAS) in ~40,000 BioMe BioBank genotyped individuals, revealing pre-existing conditions that could serve to increase the risk of severe COVID-19 such as chronic liver disease and thromboembolism. Lastly, we generated a web-based interface for exploring, downloading and submitting genetic variants associated with COVID-19 susceptibility for use in both research and clinical settings (https://itanlab.shinyapps.io/COVID19webpage/). Taken together, our work provides the most comprehensive COVID-19 host genetics knowledgebase to date for the known and predicted genetic determinants of severe COVID-19, a resource that should further contribute to our understanding of the biology underlying COVID-19 susceptibility and facilitate the identification of individuals at high risk for severe COVID-19.Copyright © 2023 Elsevier Inc.
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Objective: Although the neurological and olfactory symptoms of coronavirus disease 2019 have been identified, the neurotropic properties of the causative virus, severe acute respiratory syndrome-associated coronavirus 2 (SARS-CoV-2), remain unknown. We sought to identify the susceptible cell types and potential routes of SARS-CoV-2 entry into the central nervous system, olfactory system, and respiratory system. Method(s): We collected single-cell RNA data from normal brain and nasal epithelium specimens, along with bronchial, tracheal, and lung specimens in public datasets. The susceptible cell types that express SARS-CoV-2 entry genes were identified using single-cell RNA sequencing and the expression of the key genes at protein levels was verified by immunohistochemistry. We compared the coexpression patterns of the entry receptor angiotensin-converting enzyme 2 (ACE2) and the spike protein priming enzyme transmembrane serine protease (TMPRSS)/cathepsin L among the specimens. Result(s): The SARS-CoV-2 entry receptor ACE2 and the spike protein priming enzyme TMPRSS/cathepsin L were coexpressed by pericytes in brain tissue;this coexpression was confirmed by immunohistochemistry. In the nasal epithelium, ciliated cells and sustentacular cells exhibited strong coexpression of ACE2 and TMPRSS. Neurons and glia in the brain and nasal epithelium did not exhibit coexpression of ACE2 and TMPRSS. However, coexpression was present in ciliated cells, vascular smooth muscle cells, and fibroblasts in tracheal tissue;ciliated cells and goblet cells in bronchial tissue;and alveolar epithelium type 1 cells, AT2 cells, and ciliated cells in lung tissue. Conclusion(s): Neurological symptoms in patients with coronavirus disease 2019 could be associated with SARS-CoV-2 invasion across the blood-brain barrier via pericytes. Additionally, SARS-CoV-2-induced olfactory disorders could be the result of localized cell damage in the nasal epithelium.Copyright © Wolters Kluwer Health, Inc. All rights reserved.
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Background/Objectives: Genetic factors influence COVID-19 susceptibility and outcomes, including the development of pulmonary fibrosis (i.e. lung scarring). Idiopathic pulmonary fibrosis (IPF) is a progressive lung disease and the most common cause of pulmonary fibrosis in the general population. Genome-wide association studies (GWAS) of COVID-19 and IPF revealed genes associated with both diseases, suggesting these share genetic risk factors. Here we performed a genetic overlap study between COVID-19 and IPF. Method(s): Summary statistics from an IPF 5-way meta-GWAS and from the COVID-19 Host Genetics initiative GWAS metaanalysis (v6) were used. We performed genetic correlation analyses and assessed individual genetic signals to identify those variants shared between both traits. We conducted colocalisation analyses to determine whether the same causal variant was driving both traits. Finally, the association of overlapping variants with gene expression was assessed and a phenome-wide association study was performed. Result(s): There was a positive genetic correlation between severe COVID-19 and IPF. We found four genetic loci with likely shared causal variants between both traits, including one novel risk locus at 7q22.1 that colocalised with decreased ZKSCAN1 and TRIM4 expression in blood. The other three loci colocalised with MUC5B, ATP11A and DPP9 expression. The locus associated with increased ATP11A expression was also associated with higher Hb1AC levels, a biomarker used in diabetes. Conclusion(s): Results suggest there are shared biological processes driving IPF and severe COVID-19 phenotypes.
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Background/Objectives: COVID-19 can affect anyone with the disease's symptoms ranging from mild to very severe. Although environmental, clinical, and social factors play an important role in the disease process, host genetic factors are not negligible either. In the present article, we attempted to elaborate on the spectrum of risk variants and genes identified in different ways and their possible relationship to COVID-19 severity and/or mortality. Method(s): We present three different approaches to search host genetic risk factors that influence the development of COVID-19 disease. First, we analyzed the exome sequencing data obtained from Slovak patients who died of COVID-19. Second, we selected risk factors/genes that were associated with COVID-19. Finally, we compared each group of found risk variants with data from dead patients and two control groups, worldwide public data of the Non-Finnish European population from the gnomAD database, and genetic data from Non-invasive prenatal testing in the Slovak population. Result(s): We illustrate the utility of genomic data showed strong association in meta-analyses conducted by the COVID-19 HGI Browser. Conclusion(s): To our knowledge, the present study is the first population analysis of COVID-19 variants worldwide and also in the Slovak population that provides different approaches to the analysis of genetic variants in whole-exome sequencing data from patients who have died of COVID-19.
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Background/Objectives: Emerging evidence suggests that complement system infection-dependent hyperactivation may worsen COVID-19 outcome. We investigated the role of predicted high impact variants -referred as Qualifying Variants (QVs) -of complement system genes in predisposing asymptomatic COVID-19 in elderly individuals, known to be more susceptible to severe disease. Method(s): Exploiting Whole-Exome Sequencing (WES) data and 56 complement system genes, we performed a gene-based collapsing test between 164 asymptomatic subjects (age >= 60 y.o.) and 56,885 European individuals from the gnomAD database. We replicated this test comparing the same asymptomatic individuals with 147 hospitalized COVID-19 patients. Result(s): We found an enrichment of QVs in three genes (MASP1, COLEC10 and COLEC11), which belong to the lectin pathway, in the asymptomatic cohort. Moreover, individuals with QVs showed lower serum levels of Masp1 and of prothrombin activity compared to controls while no differences were observed for CH50 and AH50 levels that measure the activity of classical and alternative complement pathways, respectively. Finally, integrative analyses of genome-wide association study and expression quantitative loci traits data showed a correlation between polymorphisms associated with asymptomatic COVID-19 and decreased expression of MASP1, COLEC11 and COLEC10 genes in lung tissue. Conclusion(s): This study suggests that rare genetic variants can protect from severe COVID-19 by mitigating the activation of lectin pathway and prothrombin activity.
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Background/Objectives: Validated association between COVID-19 and the most obvious candidate genes, e.g. HLA, is still missing. A weak association with class I HLA-C*04:01 was found for infection in Sardinians and for severity in another mixed population. Auto-antibodies to interferon type I have been implicated in the severity of COVID-19 in two studies. Method(s): The binding affinity between HLA molecules and SARS-CoV-2 spike protein and IFNalpha subunits was evaluated in silico. The presence of antibodies against one or more of the 12 IFNalpha subunits was evaluated in 160 hospitalized COVID-19 patients. The 10 most frequent haplotypes in the Italian population were tested in 1.997 SARS-CoV-2 infected patients (hospitalized versus not hospitalized). Result(s): The presence of auto-antibodies against at least one IFNalpha subunit was detected in 26% of patients. The haplotype A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01 was found to predispose to severity (p = 0.0018;p = 0.07 after Bonferroni correction) in patients <50 years. The haplotype includes alleles able to bind spike with low affinity (i.e. C*04:01 and DRB1*11:04) and IFNalpha with high affinity (i.e. DRB1*11:04). Conclusion(s): One of the 10 most frequent ancestral haplotype of the Italian population predisposes to severity likely reducing both innate immunity through IFNalpha auto-antibodies induction and adaptive immunity through weaker spike protein presentation.
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SUMMARY. Different genetic and immunological factors can affect the severity of Coronavirus disease 19. Angiotensin-converting enzyme 2 is a human receptor for Severe Acute Respiratory Syndrome Coro-navirus-2, and the successful interaction between the spike protein of the novel virus and Angiotensin-converting enzyme 2 is responsible for the initial and complete infection. The study aimed to evaluate the correlation between Single Nucleotide Polymorphisms of Angiotensin converting-enzyme 2, with disease severity of Coronavirus disease 19 in AL-Najaf province. The allele Specific-polymerase Chain reaction method was used for investigating Single Nucleotide polymorphisms of Angiotensin converting-enzyme 2 rs4646116 A/G in different states of Coronavirus disease 19 (COVID-19). The wild genotypes (GG) for ACE2 rs4646116 gene recorded a highly significant association p = 0.0009, and a high ratio in the control group (90%) in comparison with moderate cases of COVID-19 (60%). While the heterozygote genotype (GA) of the same gene showed a significant (p-value = 0.0144) and high ratio in moderate cases (30%) in comparison with the control group (10%). Conclusion(s): the wild genotype (GG) for Angiotensin convert-ing-enzyme 2 rs4646116 gene may be associated with more protection from infection with COVID-19. While the polymorphism heterozygote genotype (GA) for the same gene may be associated with more susceptibility to infection with COVID-19.Copyright © 2023, Colegio de Farmaceuticos de la Provincia de Buenos Aires. All rights reserved.
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OBJECTIVES: Previous studies identified a number of diseases were associated with 2019 coronavirus disease (COVID-19). However, the associations between these diseases related viral infections and COVID-19 remains unknown now. METHODS: In this study, we utilized single nucleotide polymorphisms (SNPs) related to COVID-19 from genome-wide association study (GWAS) and individual-level genotype data from the UK biobank to calculate polygenic risk scores (PRS) of 487,409 subjects for eight COVID-19 clinical phenotypes. Then, multiple logistic regression models were established to assess the correlation between serological measurements (positive/negative) of 25 viruses and the PRS of eight COVID-19 clinical phenotypes. And we performed stratified analyses by age and gender. RESULTS: In whole population, we identified 12 viruses associated with the PRS of COVID-19 clinical phenotypes, such as VZV seropositivity for Varicella Zoster Virus (Unscreened/Exposed_Negative: ß = 0.1361, P = 0.0142; Hospitalized/Unscreened: ß = 0.1167, P = 0.0385) and MCV seropositivity for Merkel Cell Polyomavirus (Unscreened/Exposed_Negative: ß = -0.0614, P = 0.0478). After age stratification, we identified seven viruses associated with the PRS of eight COVID-19 clinical phenotypes. After gender stratification, we identified five viruses associated with the PRS of eight COVID-19 clinical phenotypes in the women group. CONCLUSION: Our study findings suggest that the genetic susceptibility to different COVID-19 clinical phenotypes is associated with the infection status of various common viruses.
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Intro: The COVID-19 pandemic remains a public health problem threatening national and global health security. Early during the pandemic, countries and governments including Lebanon declared states of emergency and imposed strict public health measures including national lockdowns and nonpharmaceutical interventions (NPIs) to reduce the spread of the virus. Lebanon has been struggling with plethora of challenges at the social, economic, financial, political and healthcare levels before the start of the pandemic in the country in February 2020. Method(s): The aim of this study is to advance the evolution of the COVID-19 epidemiology in Lebanon pre- and post-vaccination as well as the gaps and challenges affecting recovery and response. We will present the evolution of total number of cases, PCR positivity rates, case-fatality rates an hospitalizations. Finding(s): We present the evolution of the clinical and melocular epidemiology of COVID-19 in Lebanon, national response prior and following the introduction of COVID-19 vaccines and the impact of the latter on the course of the pandemic in Lebanon, national challenges and successes as well as the need to reimagine a national health strategy. The COVID-19 pandemic revealed the vulnerability, gaps and needs of the Lebanese health infrastructure including epidemiologic surveillance, genomic surveillance, integrated and concerted data sharing, diagnostic capacity, community mobilization and risk communication. Conclusion(s): The COVID-19 pandemic has been an eye opener about the need to invest in systemic and equal improvement in national health strategies. This is key to prevent future pandemics and to protect global health security. National and international coordinated strategies for emergency preparedness, response and recovery are critically needed in order to support the continuous monitoring of potential threats. The national commitment to these important inherent components of a rapid response requires investment in human and technical expertise to reduce inequality in access to information and care.Copyright © 2023
ABSTRACT
The incidence of new coronavirus infection (COVID-19) varies significantly between countries and continents. Until now, there has been no clear explanation for this observation. Epidemiological studies have demonstrated a large difference in infection and mortality rates between men and women. This may be due to the gender difference in the polymorphism of genes linked to the X chromosome, which play an important role in the immune response. In addition, there is a different degree of severity of the disease: from an asymptomatic course and mild symptoms to a life-threatening condition requiring hospitalization in the intensive care unit and artificial lung ventilation. Several factors are associated with the severity of COVID-19, such as elderly age, multiple comorbid diseases, smoking, hypercholesterolemia, etc. However, we observe that severe disease is also observed in patients who do not have the above risk factors. In recent months, severe forms of COVID-19 have been reported in children, including early infancy. In this connection, it is relevant, in our opinion, to focus the problem on genetic factors, such as the carriage of single-nucleotide polymorphisms, which can affect susceptibility to infection and variability in the severity of the disease.Copyright © 2022 Sorbtsionnye i Khromatograficheskie Protsessy. All rights reserved.