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1.
Guillaume Butler-Laporte; Gundula Povysil; Jack Kosmicki; Elizabeth T Cirulli; Theodore Drivas; Simone Furini; Chadi Saad; Axel Schmidt; Pawel Olszewski; Urszula Korotko; Mathieu Quinodoz; Elifnaz Celik; Kousik Kundu; Klaudia Walter; Junghyung Jung; Amy D Stockwell; Laura G Sloofman; Alexander W Charney; Daniel Jordan; Noam Beckmann; Bartlomiej Przychodzen; Timothy Chang; Tess D Pottinger; Ning Shang; Fabian Brand; Francesca Fava; Francesca Mari; Karolina Chwialkowska; Magdalena Niemira; Szymon Pula; J Kenneth Baillie; Alex Stuckey; Andrea Ganna; Konrad J Karczewski; Kumar Veerapen; Mathieu Bourgey; Guillaume Bourque; Robert JM Eveleigh; Vincenzo Forgetta; David Morrison; David Langlais; Mark Lathrop; Vincent Mooser; Tomoko Nakanishi; Robert Frithiof; Michael Hultstrom; Miklos Lipcsey; Yanara Marincevic-Zuniga; Jessica Nordlund; Kelly M Schiabor Barrett; William Lee; Alexandre Bolze; Simon White; Stephen Riffle; Francisco Tanudjaja; Efren Sandoval; Iva Neveux; Shaun Dabe; Nicolas Casadei; Susanne Motameny; Manal Alaamery; Salam Massadeh; Nora Aljawini; Mansour S Almutairi; Yaseen M Arab; Saleh A Alqahtan; Fawz S Al Harthi; Amal Almutairi; Fatima Alqubaishi; Sarah Alotaibi; Albandari Binowayn; Ebtehal A Alsolm; Hadeel El Bardisy; Mohammad Fawzy; - COVID-19 Host Genetics Initiative; - DeCOI Host Genetics Group; - GEN-COVID Multicenter Study; - GenOMICC Consortium; - Japan COVID-19 Task Force; - Regeneron Genetics Center; Daniel H Geschwind; Stephanie Arteaga; Alexis Stephens; Manish J Butte; Paul C Boutros; Takafumi N Yamaguchi; Shu Tao; Stefan Eng; Timothy Sanders; Paul J Tung; Michael E Broudy; Yu Pan; Alfredo Gonzalez; Nikhil Chavan; Ruth Johnson; Bogdan Pasaniuc; Brian Yaspan; Sandra Smieszek; Carlo Rivolta; Stephanie Bibert; Pierre-Yves Bochud; Maciej Dabrowski; Pawel Zawadzki; Mateusz Sypniewski; El?bieta Kaja; Pajaree Chariyavilaskul; Voraphoj Nilaratanakul; Nattiya Hirankarn; Vorasuk Shotelersuk; Monnat Pongpanich; Chureerat Phokaew; Wanna Chetruengchai; Yosuke Kawai; Takanori Hasegawa; Tatsuhiko Naito; Ho Namkoong; Ryuya Edahiro; Akinori Kimura; Seishi Ogawa; Takanori Kanai; Koichi Fukunaga; Yukinori Okada; Seiya Imoto; Satoru Miyano; Serghei Mangul; Malak S Abedalthagafi; Hugo Zeberg; Joseph J Grzymski; Nicole L Washington; Stephan Ossowski; Kerstin U Ludwig; Eva C Schulte; Olaf Riess; Marcin Moniuszko; Miroslaw Kwasniewski; Hamdi Mbarek; Said I Ismail; Anurag Verma; David B Goldstein; Krzysztof Kiryluk; Alessandra Renieri; Manuel Ferreira; J Brent Richards.
medrxiv; 2022.
Preprint en Inglés | medRxiv | ID: ppzbmed-10.1101.2022.03.28.22273040

RESUMEN

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 5,048 severe disease cases and 571,009 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). 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.


Asunto(s)
COVID-19
2.
medrxiv; 2020.
Preprint en Inglés | medRxiv | ID: ppzbmed-10.1101.2020.08.21.20177246

RESUMEN

Epidemiological and genetic studies on COVID-19 are hindered by inconsistent and limited testing policies to confirm SARS-CoV-2 infection. Recently, it was shown that it is possible to predict potential COVID-19 cases using cross-sectional self-reported disease-related symptoms. Using a previously reported COVID-19 prediction model, we show that it is possible to conduct a GWAS on predicted COVID-19 which benefits from a larger sample size in order to gain new insights into the genetic susceptibility of the disease. Furthermore, we find suggestive evidence that genetic variants for 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. Our findings demonstrate the added value of using self-reported symptom assessments to quickly monitor novel endemic viral outbreaks in a scenario of limited testing. Should there be another outbreak of a novel infectious disease, then we recommend repeatedly collecting data of disease-related symptoms.


Asunto(s)
COVID-19 , Enfermedades Transmisibles
3.
biorxiv; 2020.
Preprint en Inglés | bioRxiv | ID: ppzbmed-10.1101.2020.08.21.262329

RESUMEN

SARS-CoV-2 infection induces a T cell response that most likely contributes to virus control in COVID-19 patients, but may also induce immunopathology. Until now, the cytotoxic T cell response has not been very well characterized in COVID-19 patients. Here, we analyzed the differentiation and cytotoxic profile of T cells in 30 cases of mild COVID-19 during acute infection. SARS-CoV-2 infection induced a cytotoxic response of CD8+ T cells, but not CD4+ T cells, characterized by the simultaneous production of granzyme A and B, as well as perforin within different effector CD8+ T cell subsets. PD-1 expressing CD8+ T cells also produced cytotoxic molecules during acute infection indicating that they were not functionally exhausted. However, in COVID-19 patients over the age of 80 years the cytotoxic T cell potential was diminished, especially in effector memory and terminally differentiated effector CD8+ cells, showing that elderly patients have impaired cellular immunity against SARS-CoV-2. Our data provides valuable information about T cell responses in COVID-19 patients that may also have important implications for vaccine development. ImportanceCytotoxic T cells are responsible for the elimination of infected cells and are key players for the control of viruses. CD8+ T cells with an effector phenotype express cytotoxic molecules and are able to perform target cell killing. COVID-19 patients with a mild disease course were analyzed for the differentiation status and cytotoxic profile of CD8+ T cells. SARS-CoV-2 infection induced a vigorous cytotoxic CD8+ T cell response. However, this cytotoxic profile of T cells was not detected in COVID-19 patients over the age of 80 years. Thus, the absence of a cytotoxic response in elderly patients might be a possible reason for the more frequent severity of COVID-19 in this age group in comparison to younger patients.


Asunto(s)
COVID-19
4.
biorxiv; 2020.
Preprint en Inglés | bioRxiv | ID: ppzbmed-10.1101.2020.08.23.255364

RESUMEN

Influenza virus and coronavirus, belonging to enveloped RNA viruses, are major causes of human respiratory diseases. The aim of this study was to investigate the broad spectrum antiviral activity of a naturally existing sulfated polysaccharide, lambda-carrageenan ({lambda}-CGN), purified from marine red algae. Cell culture-based assays revealed that the macromolecule efficiently inhibited both influenza A and B viruses, as well as currently circulating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), with EC50 values ranging from 0.3-1.4 g/ml. No toxicity to host cells was observed at concentrations up to 300 g/ml. Plaque titration and western blot analysis verified that {lambda}-CGN reduced expression of viral proteins in cell lysates and suppressed progeny virus production in culture supernatants in a dose-dependent manner. This polyanionic compound exerts antiviral activity by targeting viral attachment to cell surface receptors and preventing entry. Moreover, intranasal administration to mice during influenza A viral challenge not only alleviated infection-mediated reductions in body weight but also protected 60% of mice from virus-induced mortality. Thus, {lambda}-CGN could be a promising antiviral agent for preventing infection by several respiratory viruses.


Asunto(s)
Enfermedades Respiratorias , Efectos Colaterales y Reacciones Adversas Relacionados con Medicamentos
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