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Shorter androgen receptor polyQ alleles protect against life-threatening COVID-19 disease in males.
Margherita Baldassarri; Nicola Picchiotti; Francesca Fava; Chiara Fallerini; Elisa Benetti; Sergio Daga; Floriana Valentino; Gabriella Doddato; Simone Furini; Annarita Giliberti; Rossella Tita; Sara Amitrano; Mirella Bruttini; Susanna Croci; Ilaria Meloni; Anna Maria Pinto; Chiara Gabbi; Francesca Sciarra; Mary Anna Venneri; Marco Gori; Maurizio Sanarico; Francis P Crawley; Uberto Pagotto; Flaminia Fanelli; Marco Mezzullo; Elena Dominguez-Garrido; Laura Planas-Serra; Agatha Schluter; Roger Colobran; Pere Soler-Palacin; Pablo Lapunzina; Jair Tenorio; - Spanish Covid HGE; Aurora Pujol; Maria Grazia Castagna; Marco Marcelli; Andrea M Isidori; - GEN-COVID Multicenter Study; Alessandra Renieri; Elisa Frullanti; Francesca Mari.
Afiliação
  • Margherita Baldassarri; Medical Genetics, University of Siena, Italy; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
  • Nicola Picchiotti; University of Siena, DIISM-SAILAB, Siena, Italy; Department of Mathematics, University of Pavia, Pavia, Italy
  • Francesca Fava; Medical Genetics, University of Siena, Italy; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy; Genetica
  • Chiara Fallerini; Medical Genetics, University of Siena, Italy; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
  • Elisa Benetti; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
  • Sergio Daga; Medical Genetics, University of Siena, Italy; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
  • Floriana Valentino; Medical Genetics, University of Siena, Italy; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
  • Gabriella Doddato; Medical Genetics, University of Siena, Italy; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
  • Simone Furini; 2) Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
  • Annarita Giliberti; Medical Genetics, University of Siena, Italy; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
  • Rossella Tita; Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Italy
  • Sara Amitrano; Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Italy
  • Mirella Bruttini; Medical Genetics, University of Siena, Italy; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy; Genetica
  • Susanna Croci; Medical Genetics, University of Siena, Italy; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
  • Ilaria Meloni; Medical Genetics, University of Siena, Italy; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
  • Anna Maria Pinto; Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Italy
  • Chiara Gabbi; Independent Medical Scientist, Milan, Italy
  • Francesca Sciarra; Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
  • Mary Anna Venneri; Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
  • Marco Gori; University of Siena, DIISM-SAILAB, Siena, Italy; Universite Cote d Azur, Inria, CNRS, I3S, Maasai
  • Maurizio Sanarico; Independent Data Scientist, Milan, Italy
  • Francis P Crawley; Good Clinical Practice Alliance-Europe (GCPA) and Strategic Initiative for Developing Capacity in Ethical Review-Europe (SIDCER), Leuven, Belgium
  • Uberto Pagotto; Unit of Endocrinology and Prevention and Care of Diabetes, Center for Applied
  • Flaminia Fanelli; Unit of Endocrinology and Prevention and Care of Diabetes, Center for Applied
  • Marco Mezzullo; Unit of Endocrinology and Prevention and Care of Diabetes, Center for Applied
  • Elena Dominguez-Garrido; Molecular Diagnostic Unit, Fundacion Rioja Salud, Logrono, La Rioja, Spain
  • Laura Planas-Serra; Neurometabolic Diseases Laboratory, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain; CIBERER, Centro de Investigacion Biomedica en Red de En
  • Agatha Schluter; Neurometabolic Diseases Laboratory, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain; CIBERER, Centro de Investigacion Biomedica en Red de En
  • Roger Colobran; Immunology Division, Genetics Department. Hospital Universitari Vall d Hebron. Vall d Hebron Research Institute. Vall d Hebron Barcelona Hospital Campus. Unive
  • Pere Soler-Palacin; Immunology Division, Genetics Department. Hospital Universitari Vall d Hebron. Vall d Hebron Research Institute. Vall d Hebron Barcelona Hospital Campus. Unive
  • Pablo Lapunzina; CIBERER, Centro de Investigacion Biomedica en Red de Enfermedades Raras, ISCIII, Melchor Fernandez Almagro, 3, 28029 Madrid, Spain; Institute of Medical and Mol
  • Jair Tenorio; CIBERER, Centro de Investigacion Biomedica en Red de Enfermedades Raras, ISCIII, Melchor Fernandez Almagro, 3, 28029 Madrid, Spain; Institute of Medical and Mol
  • - Spanish Covid HGE;
  • Aurora Pujol; Neurometabolic Diseases Laboratory, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain CIBERER, Centro de Investigacion Biomedica en Red de Enf
  • Maria Grazia Castagna; Department of Medical, Surgical and Neurological Sciences, University of Siena, Italy
  • Marco Marcelli; Department of Medicine, Baylor College of Medicine, Houston TX, USA
  • Andrea M Isidori; Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
  • - GEN-COVID Multicenter Study;
  • Alessandra Renieri; Medical Genetics, University of Siena, Italy; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy; Genetic
  • Elisa Frullanti; Medical Genetics, University of Siena, Italy; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
  • Francesca Mari; Medical Genetics, University of Siena, Italy; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy; Genetica
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20225680
ABSTRACT
BackgroundCOVID-19 presentation ranges from asymptomatic to fatal. The variability in severity may be due in part to impaired Interferon type I response due to specific mutations in the host genome or to autoantibodies, explaining about 15% of the cases when combined. Exploring the host genome is thus warranted to further elucidate disease variability. MethodsWe developed a synthetic approach to genetic data representation using machine learning methods to investigate complementary genetic variability in COVID-19 infected patients that may explain disease severity, due to poly-amino acids repeat polymorphisms. Using host whole-exome sequencing data, we compared extreme phenotypic presentations (338 severe versus 300 asymptomatic cases) of the entire (men and women) Italian GEN-COVID cohort of 1178 subjects infected with SARS-CoV-2. We then applied the LASSO Logistic Regression model on Boolean gene-based representation of the poly-amino acids variability. FindingsShorter polyQ alleles ([≤]22) in the androgen receptor (AR) conferred protection against a more severe outcome in COVID-19 infection. In the subgroup of males with age <60 years, testosterone was higher in subjects with AR long-polyQ ([≥]23), possibly indicating receptor resistance (p=0.004 Mann-Whitney U test). Inappropriately low testosterone levels for the long-polyQ alleles predicted the need for intensive care in COVID-19 infected men. In agreement with the known anti-inflammatory action of testosterone, patients with long-polyQ ([≥]23) and age>60 years had increased levels of C Reactive Protein (p=0.018). InterpretationOur results may contribute to design reliable clinical and public health measures and provide a rationale to test testosterone treatment as adjuvant therapy in symptomatic COVID-19 men expressing AR polyQ longer than 23 repeats. FundingMIUR project "Dipartimenti di Eccellenza 2018-2020" to Department of Medical Biotechnologies University of Siena, Italy (Italian D.L. n.18 March 17, 2020). Private donors for COVID research and charity funds from Intesa San Paolo. BoxesO_ST_ABSEvidence before this studyC_ST_ABSWe searched on Medline, EMBASE, and Pubmed for articles published from January 2020 to August 2020 using various combinations of the search terms "sex-difference", "gender" AND SARS-Cov-2, or COVID. Epidemiological studies indicate that men and women are similarly infected by COVID-19, but the outcome is less favorable in men, independently of age. Several studies also showed that patients with hypogonadism tend to be more severely affected. A prompt intervention directed toward the most fragile subjects with SARS-Cov2 infection is currently the only strategy to reduce mortality. glucocorticoid treatment has been found cost-effective in improving the outcome of severe cases. Clinical algorithms have been proposed, but little is known on the ability of genetic profiling to predict outcome and disclose novel therapeutic strategies. Added-value of this studyIn a cohort of 1178 men and women with COVID-19, we used a supervised machine learning approach on a synthetic representation of the uncovered variability of the human genome due to poly-amino acid repeats. Comparing the genotype of patients with extreme manifestations (severe vs. asymptomatic), we found that the poly-glutamine repeat of the androgen receptor (AR) gene is relevant for COVID-19 disease and defective AR signaling identifies an association between male sex, testosterone exposure, and COVID-19 outcome. Failure of the endocrine feedback to overcome AR signaling defect by increasing testosterone levels during the infection leads to the fact that polyQ becomes dominant to T levels for the clinical outcome. Implications of all the available evidenceWe identify the first genetic polymorphism predisposing some men to develop a more severe disease irrespectively of age. Based on this, we suggest that sizing the AR poly-glutamine repeat has important implications in the diagnostic pipeline of patients affected by life-threatening COVID-19 infection. Most importantly, our studies open to the potential of using testosterone as adjuvant therapy for severe COVID-19 patients having defective androgen signaling, defined by this study as [≥]23 PolyQ repeats and inappropriate levels of circulating androgens.
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Cohort_studies / Estudo observacional / Estudo prognóstico / Review Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Cohort_studies / Estudo observacional / Estudo prognóstico / Review Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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