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1.
ssrn; 2021.
Preprint in English | PREPRINT-SSRN | ID: ppzbmed-10.2139.ssrn.3960674

ABSTRACT

Background: Understanding the cause of sex disparities in COVID-19 outcomes is a major challenge. We investigate sex hormone levels and their association with outcomes in COVID-19 patients, stratified by sex and age.Methods: This observational, retrospective, cohort study included 138 patients aged 18 years or older with COVID-19, hospitalized in Italy between February 1 and May 30, 2020. The association between sex hormones (testosterone, estradiol, progesterone, dehydroepiandrosterone) and outcomes (ARDS, severe COVID-19, in-hospital mortality) was explored in 120 patients aged 50 years and over. STROBE checklist was followed.Findings: The median age was 73·5 years [IQR 61, 82]; 55·8% were male. In older males, testosterone was lower if ARDS and severe COVID-19 were reported than if not (3·6 vs. 5·3 nmol/L, p =0·0378 and 3·7 vs. 8·5 nmol/L, p =0·0011, respectively). Deceased males had lower testosterone (2·4 vs. 4·8 nmol/L, p =0·0536) and higher estradiol than survivors (40 vs. 24 pg/mL, p = 0·0006). Testosterone was negatively associated with ARDS (OR 0·849 [95% CI 0·734, 0·982]), severe COVID-19 (OR 0·691 [95% CI 0·546, 0·874]), and in-hospital mortality (OR 0·742 [95% CI 0·566, 0·972]), regardless of potential confounders, though confirmed only in the regression model on males. Higher estradiol was associated with a higher probability of death (OR 1·051 [95% CI 1·018, 1.084]), confirmed in both sex models. Interpretation: In males, higher testosterone seems to be protective against any considered outcome. Higher estradiol was associated with a higher probability of death in both sexes.Funding Information: The research was funded by Italian Ministry of Health “Fondi Ricerca Corrente, Project L1P5” for IRCCS Sacro Cuore Don Calabria Hospital.Declaration of Interests: We declare there is no conflict of interest.Ethics Approval Statement: Ethical approval for data collection was obtained in accordance with local regulations at each participating site. The study protocol received ethical approval and consent from the competent Ethics Committee (Comitato Etico per la sperimentazione Clinica delle Province di Verona e Rovigo) on September 1st, 2020 (protocol #46555).


Subject(s)
COVID-19 , Cross Infection
2.
Frauke Degenhardt; David Ellinghaus; Simonas Juzenas; Jon Lerga-Jaso; Mareike Wendorff; Douglas Maya-Miles; Florian Uellendahl-Werth; Hesham ElAbd; Malte C. Ruehlemann; Jatin Arora; Onur oezer; Ole Bernt Lenning; Ronny Myhre; May Sissel Vadla; Eike Matthias Wacker; Lars Wienbrandt; Aaron Blandino Ortiz; Adolfo de Salazar; Adolfo Garrido Chercoles; Adriana Palom; Agustin Ruiz; Alberto Mantovani; Alberto Zanella; Aleksander Rygh Holten; Alena Mayer; Alessandra Bandera; Alessandro Cherubini; Alessandro Protti; Alessio Aghemo; Alessio Gerussi; Alexander Popov; Alfredo Ramirez; Alice Braun; Almut Nebel; Ana Barreira; Ana Lleo; Ana Teles; Anders Benjamin Kildal; Andrea Biondi; Andrea Ganna; Andrea Gori; Andreas Glueck; Andreas Lind; Anke Hinney; Anna Carreras Nolla; Anna Ludovica Fracanzani; Annalisa Cavallero; Anne Ma Dyrhol-Riise; Antonella Ruello; Antonio Julia; Antonio Muscatello; Antonio Pesenti; Antonio Voza; Ariadna Rando-Segura; Aurora Solier; Beatriz Cortes; Beatriz Mateos; Beatriz Nafria-Jimenez; Benedikt Schaefer; Bjoern Jensen; Carla Bellinghausen; Carlo Maj; Carlos Ferrando; Carmen de la Horrra; Carmen Quereda; Carsten Skurk; Charlotte Thibeault; Chiara Scollo; Christian Herr; Christoph D. Spinner; Christoph Lange; Cinzia Hu; Clara Lehmann; Claudio Cappadona; Clinton Azuure; - COVICAT study group; - Covid-19 Aachen Study (COVAS); Cristiana Bianco; Cristina Sancho; Dag Arne Lihaug Hoff; Daniela Galimberti; Daniele Prati; David Haschka; David Jimenez; David Pestana; David Toapanta; Elena Azzolini; Elio Scarpini; Elisa T. Helbig; Eloisa Urrechaga; Elvezia Maria Paraboschi; Emanuele Pontali; Enric Reverter; Enrique J. Calderon; Enrique Navas; Erik Solligard; Ernesto Contro; Eunate Arana; Federico Garcia; Felix Garcia Sanchez; Ferruccio Ceriotti; Filippo Martinelli-Boneschi; Flora Peyvandi; Florian Kurth; Francesco Blasi; Francesco Malvestiti; Francisco J. Medrano; Francisco Mesonero; Francisco Rodriguez-Frias; Frank Hanses; Fredrik Mueller; Giacomo Bellani; Giacomo Grasselli; Gianni Pezzoli; Giorgio Costantino; Giovanni Albano; Giuseppe Bellelli; Giuseppe Citerio; Giuseppe Foti; Giuseppe Lamorte; Holger Neb; Ilaria My; Ingo Kurth; Isabel Hernandez; Isabell Pink; Itziar de Rojas; Ivan Galvan-Femenia; Jan C. Holter; Jan Egil Egil Afset; Jan Heyckendorf; Jan Damas; Jan Kristian Rybniker; Janine Altmueller; Javier Ampuero; Jesus M. Banales; Joan Ramon Badia; Joaquin Dopazo; Jochen Schneider; Jonas Bergan; Jordi Barretina; Joern Walter; Jose Hernandez Quero; Josune Goikoetxea; Juan Delgado; Juan M. Guerrero; Julia Fazaal; Julia Kraft; Julia Schroeder; Kari Risnes; Karina Banasik; Karl Erik Mueller; Karoline I. Gaede; Koldo Garcia-Etxebarria; Kristian Tonby; Lars Heggelund; Laura Izquierdo-Sanchez; Laura Rachele Bettini; Lauro Sumoy; Leif Erik Sander; Lena J. Lippert; Leonardo Terranova; Lindokuhle Nkambule; Lisa Knopp; Lise Tuset Gustad; Lucia Garbarino; Luigi Santoro; Luis Tellez; Luisa Roade; Mahnoosh Ostadreza; Maider Intxausti; Manolis Kogevinas; Mar Riveiro-Barciela; Marc M. Berger; Mari E.K. Niemi; Maria A. Gutierrez-Stampa; Maria Grazia Valsecchi; Maria Hernandez-Tejero; Maria J.G.T. Vehreschild; Maria Manunta; Mariella D'Angio; Marina Cazzaniga; Marit M. Grimsrud; Markus Cornberg; Markus M. Noethen; Marta Marquie; Massimo Castoldi; Mattia Cordioli; Maurizio Cecconi; Mauro D'Amato; Max Augustin; Melissa Tomasi; Merce Boada; Michael Dreher; Michael J. Seilmaier; Michael Joannidis; Michael Wittig; Michela Mazzocco; Miguel Rodriguez-Gandia; Natale Imaz Ayo; Natalia Blay; Natalia Chueca; Nicola Montano; Nicole Ludwig; Nikolaus Marx; Nilda Martinez; - Norwegian SARS-CoV-2 Study group; Oliver A. Cornely; Oliver Witzke; Orazio Palmieri; - Pa COVID-19 Study Group; Paola Faverio; Paolo Bonfanti; Paolo Tentorio; Pedro Castro; Pedro M. Rodrigues; Pedro Pablo Espana; Per Hoffmann; Philip Rosenstiel; Philipp Schommers; Phillip Suwalski; Raul de Pablo; Ricard Ferrer; Robert Bals; Roberta Gualtierotti; Rocio Gallego-Duran; Rosa Nieto; Rossana Carpani; Ruben Morilla; Salvatore Badalamenti; Sammra Haider; Sandra Ciesek; Sandra May; Sara Bombace; Sara Marsal; Sara Pigazzini; Sebastian Klein; Selina Rolker; Serena Pelusi; Sibylle Wilfling; Silvano Bosari; Soren Brunak; Soumya Raychaudhuri; Stefan Schreiber; Stefanie Heilmann-Heimbach; Stefano Aliberti; Stephan Ripke; Susanne Dudman; - The Humanitas COVID-19 Task Forse; - The Humanitas Gavazzeni COVID-19 Task Force; Thomas Bahmer; Thomas Eggermann; Thomas Illig; Thorsten Brenner; Torsten Feldt; Trine Folseraas; Trinidad Gonzalez Cejudo; Ulf Landmesser; Ulrike Protzer; Ute Hehr; Valeria Rimoldi; Vegard Skogen; Verena Keitel; Verena Kopfnagel; Vicente Friaza; Victor Andrade; Victor Moreno; Wolfgang Poller; Xavier Farre; Xiaomin Wang; Yascha Khodamoradi; Zehra Karadeniz; Anna Latiano; Siegfried Goerg; Petra Bacher; Philipp Koehler; Florian Tran; Heinz Zoller; Eva C. Schulte; Bettina Heidecker; Kerstin U. Ludwig; Javier Fernandez; Manuel Romero-Gomez; Agustin Albillos; Pietro Invernizzi; Maria Buti; Stefano Duga; Luis Bujanda; Johannes R. Hov; Tobias L. Lenz; Rosanna Asselta; Rafael de Cid; Luca Valenti; Tom H. Karlsen; Mario Caceres; Andre Franke.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.07.21.21260624

ABSTRACT

Due to the highly variable clinical phenotype of Coronavirus disease 2019 (COVID-19), deepening the host genetic contribution to severe COVID-19 may further improve our understanding about underlying disease mechanisms. Here, we describe an extended GWAS meta-analysis of 3,260 COVID-19 patients with respiratory failure and 12,483 population controls from Italy, Spain, Norway and Germany, as well as hypothesis-driven targeted analysis of the human leukocyte antigen (HLA) region and chromosome Y haplotypes. We include detailed stratified analyses based on age, sex and disease severity. In addition to already established risk loci, our data identify and replicate two genome-wide significant loci at 17q21.31 and 19q13.33 associated with severe COVID-19 with respiratory failure. These associations implicate a highly pleiotropic ~0.9-Mb 17q21.31 inversion polymorphism, which affects lung function and immune and blood cell counts, and the NAPSA gene, involved in lung surfactant protein production, in COVID-19 pathogenesis.


Subject(s)
COVID-19 , Respiratory Insufficiency
3.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.07.31.20165647

ABSTRACT

T cells are involved in the early identification and clearance of viral infections and also support the development of antibodies by B cells. This central role for T cells makes them a desirable target for assessing the immune response to SARS-CoV-2 infection. Here, we combined two high-throughput immune profiling methods to create a quantitative picture of the T-cell response to SARS-CoV-2. First, at the individual level, we deeply characterized 3 acutely infected and 58 recovered COVID-19 subjects by experimentally mapping their CD8 T-cell response through antigen stimulation to 545 Human Leukocyte Antigen (HLA) class I presented viral peptides (class II data in a forthcoming study). Then, at the population level, we performed T-cell repertoire sequencing on 1,015 samples (from 827 COVID-19 subjects) as well as 3,500 controls to identify shared "public" T-cell receptors (TCRs) associated with SARS-CoV-2 infection from both CD8 and CD4 T cells. Collectively, our data reveal that CD8 T-cell responses are often driven by a few immunodominant, HLA-restricted epitopes. As expected, the T-cell response to SARS-CoV-2 peaks about one to two weeks after infection and is detectable for several months after recovery. As an application of these data, we trained a classifier to diagnose SARS-CoV-2 infection based solely on TCR sequencing from blood samples, and observed, at 99.8% specificity, high early sensitivity soon after diagnosis (Day 3-7 = 83.8% [95% CI = 77.6-89.4]; Day 8-14 = 92.4% [87.6-96.6]) as well as lasting sensitivity after recovery (Day 29+/convalescent = 96.7% [93.0-99.2]). These results demonstrate an approach to reliably assess the adaptive immune response both soon after viral antigenic exposure (before antibodies are typically detectable) as well as at later time points. This blood-based molecular approach to characterizing the cellular immune response has applications in vaccine development as well as clinical diagnostics and monitoring.


Subject(s)
Acute Disease , Virus Diseases , COVID-19
4.
David Ellinghaus; Frauke Degenhardt; Luis Bujanda; Maria Buti; Agustin Albillos; Pietro Invernizzi; Javier Fernandez; Daniele Prati; Guido Baselli; Rosanna Asselta; Marit Maehle Grimsrud; Chiara Milani; Fatima Aziz; Jan Kassens; Sandra May; Mareike Wendorff; Lars Wienbrandt; Florian Uellendahl-Werth; Tenghao Zheng; Xiaoli Yi; Raul de Pablo; Adolfo Garrido Chercoles; Adriana Palom; Alba-Estela Garcia-Fernandez; Francisco Rodriguez-Frias; Alberto Zanella; Alessandra Bandera; Alessandro Protti; Alessio Aghemo; Ana Lleo de Nalda; Andrea Biondi; Andrea Caballero-Garralda; Andrea Gori; Anja Tanck; Anna Latiano; Anna Ludovica Fracanzani; Anna Peschuck; Antonio Julia; Antonio Pesenti; Antonio Voza; David Jimenez; Beatriz Mateos; Beatriz Nafria Jimenez; Carmen Quereda; Claudio Angelini; Cristina Cea; Aurora Solier; David Pestana; Elena Sandoval; Elvezia Maria Paraboschi; Enrique Navas; Ferruccio Ceriotti; Filippo Martinelli-Boneschi; Flora Peyvandi; Francesco Blasi; Luis Tellez; Albert Blanco-Grau; Giacomo Grasselli; Giorgio Costantino; Giulia Cardamone; Giuseppe Foti; Serena Aneli; Hayato Kurihara; Hesham ElAbd; Ilaria My; Javier Martin; Jeanette Erdmann; Jose Ferrusquia-Acosta; Koldo Garcia-Etxebarria; Laura Izquierdo-Sanchez; Laura Rachele Bettini; Leonardo Terranova; Leticia Moreira; Luigi Santoro; Luigia Scudeller; Francisco Mesonero; Luisa Roade; Marco Schaefer; Maria Carrabba; Maria del Mar Riveiro Barciela; Maria Eloina Figuera Basso; Maria Grazia Valsecchi; Maria Hernandez-Tejero; Marialbert Acosta-Herrera; Mariella D'Angio; Marina Baldini; Marina Cazzaniga; Martin Schulzky; Maurizio Cecconi; Michael Wittig; Michele Ciccarelli; Miguel Rodriguez-Gandia; Monica Bocciolone; Monica Miozzo; Nicole Braun; Nilda Martinez; Orazio Palmieri; Paola Faverio; Paoletta Preatoni; Paolo Bonfanti; Paolo Omodei; Paolo Tentorio; Pedro Castro; Pedro M. Rodrigues; Aaron Blandino Ortiz; Ricardo Ferrer Roca; Roberta Gualtierotti; Rosa Nieto; Salvatore Badalamenti; Sara Marsal; Giuseppe Matullo; Serena Pelusi; Valter Monzani; Tanja Wesse; Tomas Pumarola; Valeria Rimoldi; Silvano Bosari; Wolfgang Albrecht; Wolfgang Peter; Manuel Romero Gomez; Mauro D'Amato; Stefano Duga; Jesus M. Banales; Johannes Roksund Hov; Trine Folseraas; Luca Valenti; Andre Franke; Tom Hemming Karlsen.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.05.31.20114991

ABSTRACT

Background. Respiratory failure is a key feature of severe Covid-19 and a critical driver of mortality, but for reasons poorly defined affects less than 10% of SARS-CoV-2 infected patients. Methods. We included 1,980 patients with Covid-19 respiratory failure at seven centers in the Italian and Spanish epicenters of the SARS-CoV-2 pandemic in Europe (Milan, Monza, Madrid, San Sebastian and Barcelona) for a genome-wide association analysis. After quality control and exclusion of population outliers, 835 patients and 1,255 population-derived controls from Italy, and 775 patients and 950 controls from Spain were included in the final analysis. In total we analyzed 8,582,968 single-nucleotide polymorphisms (SNPs) and conducted a meta-analysis of both case-control panels. Results. We detected cross-replicating associations with rs11385942 at chromosome 3p21.31 and rs657152 at 9q34, which were genome-wide significant (P<5x10-8) in the meta-analysis of both study panels, odds ratio [OR], 1.77; 95% confidence interval [CI], 1.48 to 2.11; P=1.14x10-10 and OR 1.32 (95% CI, 1.20 to 1.47; P=4.95x10-8), respectively. Among six genes at 3p21.31, SLC6A20 encodes a known interaction partner with angiotensin converting enzyme 2 (ACE2). The association signal at 9q34 was located at the ABO blood group locus and a blood-group-specific analysis showed higher risk for A-positive individuals (OR=1.45, 95% CI, 1.20 to 1.75, P=1.48x10-4) and a protective effect for blood group O (OR=0.65, 95% CI, 0.53 to 0.79, P=1.06x10-5). Conclusions. We herein report the first robust genetic susceptibility loci for the development of respiratory failure in Covid-19. Identified variants may help guide targeted exploration of severe Covid-19 pathophysiology.


Subject(s)
Severe Acute Respiratory Syndrome , COVID-19 , Respiratory Insufficiency
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