Using symptom-based case predictions to identify host genetic factors that contribute to COVID-19 susceptibility

Epidemiological and genetic studies on COVID-19 are currently hindered by inconsistent and limited testing policies to confirm SARS-CoV-2 infection. Recently, it was shown that it is possible to predict COVID-19 cases using cross-sectional self-reported disease-related symptoms. Here, we demonstrate that this COVID-19 prediction model has reasonable and consistent performance across multiple independent cohorts and that our attempt to improve upon this model did not result in improved predictions. Using the existing COVID-19 prediction model, we then conducted a GWAS on the predicted phenotype using a total of 1,865 predicted cases and 29,174 controls. While we did not find any common, large-effect variants that reached genome-wide significance, we do observe suggestive genetic associations at two SNPs (rs11844522, p = 1.9x10-7; rs5798227, p = 2.2x10-7). Explorative analyses furthermore suggest that genetic variants associated with other viral infectious diseases do not overlap with COVID-19 susceptibility and that severity of COVID-19 may have a different genetic architecture compared to COVID-19 susceptibility. This study represents a first effort that uses a symptom-based predicted phenotype as a proxy for COVID-19 in our pursuit of understanding the genetic susceptibility of the disease. We conclude that the inclusion of symptom-based predicted cases could be a useful strategy in a scenario of limited testing, either during the current COVID-19 pandemic or any future viral outbreak

Exome-wide association study to identify rare variants influencing COVID-19 outcomes : Results from the Host Genetics Initiative

Publisher Copyright: Copyright: © 2022 Butler-Laporte 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.Host genetics is a key determinant of COVID-19 outcomes. Previously, the COVID-19 Host Genetics Initiative genome-wide association study used common variants to identify multiple loci associated with COVID-19 outcomes. However, variants with the largest impact on COVID-19 outcomes are expected to be rare in the population. Hence, studying rare variants may provide additional insights into disease susceptibility and pathogenesis, thereby informing therapeutics development. Here, we combined whole-exome and whole-genome sequencing from 21 cohorts across 12 countries and performed rare variant exome-wide burden analyses for COVID-19 outcomes. In an analysis of 5,085 severe disease cases and 571,737 controls, we observed that carrying a rare deleterious variant in the SARS-CoV-2 sensor toll-like receptor TLR7 (on chromosome X) was associated with a 5.3-fold increase in severe disease (95% CI: 2.75–10.05, p = 5.41x10-7). This association was consistent across sexes. These results further support TLR7 as a genetic determinant of severe disease and suggest that larger studies on rare variants influencing COVID-19 outcomes could provide additional insights.Peer reviewe

Modeling tumor cell adaptations to hypoxia in multicellular tumor spheroids

Abstract Under hypoxic conditions, tumor cells undergo a series of adaptations that promote evolution of a more aggressive tumor phenotype including the activation of DNA damage repair proteins, altered metabolism, and decreased proliferation. Together these changes mitigate the negative impact of oxygen deprivation and allow preservation of genomic integrity and proliferative capacity, thus contributing to tumor growth and metastasis. As a result the presence of a hypoxic microenvironment is considered a negative clinical feature of many solid tumors. Hypoxic niches in tumors also represent a therapeutically privileged environment in which chemo- and radiation therapy is less effective. Although the negative impact of tumor hypoxia has been well established, the precise effect of oxygen deprivation on tumor cell behavior, and the molecular signals that allow a tumor cell to survive in vivo are poorly understood. Multicellular tumor spheroids (MCTS) have been used as an in vitro model for the avascular tumor niche, capable of more accurately recreating tumor genomic profiles and predicting therapeutic response. However, relatively few studies have used MCTS to study the molecular mechanisms driving tumor cell adaptations within the hypoxic tumor environment. Here we will review what is known about cell proliferation, DNA damage repair, and metabolic pathways as modeled in MCTS in comparison to observations made in solid tumors. A more precise definition of the cell populations present within 3D tumor models in vitro could better inform our understanding of the heterogeneity within tumors as well as provide a more representative platform for the testing of therapeutic strategies

Linking hypoxia, DNA damage and proliferation in multicellular tumor spheroids

Abstract Background Multicellular Tumor Spheroids are frequently used to mimic the regionalization of proliferation and the hypoxic environment within avascular tumors. Here we exploit these features to study the activation of DNA damage repair pathways and their correlation to developing hypoxia. Methods Activation of DNA damage repair markers, proliferation, cell death, glycogen accumulation and developing hypoxia were investigated using immunofluorescence, immuno-histochemistry, EdU incorporation, Western blots, COMET assays, and pharmacological agents in A673 Ewing sarcoma spheroids and monolayer cultures. Results DNA damage marker γ-H2AX is observed in the hypoxic, peri-necrotic region of growing spheroids. While most proliferating cells are seen on the spheroid surface, there are also a few Ki-67 positive cells in the hypoxic zone. The hypoxia-induced phosphorylation of H2AX to form γ-H2AX in spheroids is attenuated by the ATM inhibitor KU55933, but not the ATR inhibitor VE-821. Conclusion Tumor spheroids mimic tumor microenvironments such as the anoxic, hypoxic and oxic niches within solid tumors, as well as populations of cells that are viable, proliferating, and undergoing DNA damage repair processes under these different micro-environmental conditions. ATM, but not ATR, is the primary kinase responsible for γ-H2AX formation in the hypoxic core of A673 spheroids. Spheroids could offer unique advantages in testing therapeutics designed to target malignant cells that evade conventional treatment strategies by adapting to the hypoxic tumor microenvironment

Nanomedicine for intracellular therapy

Intracellular pathogens like Salmonella evade host phagocytic killing by various mechanisms. Classical antimicrobial therapy requires multiple dosages and frequent administration of drugs for a long duration. Intracellular delivery of antimicrobials using nanoparticle may effectively devise therapies for bacterial infections. This review will address the mechanisms used by Salmonella to avoid host pathogenic killing, reasons for therapeutic failure and advances in nanoparticle drug delivery technology for efficient intracellular bacterial clearance