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HLA-B*44 and C*01 Prevalence Correlates with Covid19 Spreading across Italy.
Correale, Pierpaolo; Mutti, Luciano; Pentimalli, Francesca; Baglio, Giovanni; Saladino, Rita Emilena; Sileri, Pierpaolo; Giordano, Antonio.
  • Correale P; Unit of Medical Oncology, Oncology Department, Grand Metropolitan Hospital 'Bianchi Melacrino Morelli', I-89124 Reggio Calabria, Italy.
  • Mutti L; Sbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology, College of Science and Technology, Temple University, Philadelphia, PA 19122, USA.
  • Pentimalli F; Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori, IRCCS, Fondazione G. Pascale, I-80131 Napoli, Italy.
  • Baglio G; Ministry of Health, I-00153 Rome, Italy.
  • Saladino RE; Tissue Typing Unit, Grand Metropolitan Hospital 'Bianchi Melacrino Morelli', I-89124 Reggio Calabria, Italy.
  • Sileri P; Università Vita Salute San Raffaele, I-20132 Milano, Italy.
  • Giordano A; Sbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology, College of Science and Technology, Temple University, Philadelphia, PA 19122, USA.
Int J Mol Sci ; 21(15)2020 Jul 23.
Article in English | MEDLINE | ID: covidwho-704878
ABSTRACT
The spread of COVID-19 is showing huge, unexplained, differences between northern and southern Italy. We hypothesized that the regional prevalence of specific class I human leukocyte antigen (HLA) alleles, which shape the anti-viral immune response, might partly underlie these differences. Through an ecological approach, we analyzed whether a set of HLA alleles (A, B, C), known to be involved in the immune response against infections, correlates with COVID-19 incidence. COVID-19 data were provided by the National Civil Protection Department, whereas HLA allele prevalence was retrieved through the Italian Bone-Marrow Donors Registry. Among all the alleles, HLA-A*25, B*08, B*44, B*1501, B*51, C*01, and C*03 showed a positive log-linear correlation with COVID-19 incidence rate fixed on 9 April 2020 in proximity of the national outbreak peak (Pearson's coefficients between 0.50 and 0.70, p-value < 0.0001), whereas HLA-B*14, B*18, and B*49 showed an inverse log-linear correlation (Pearson's coefficients between -0.47 and -0.59, p-value < 0.0001). When alleles were examined simultaneously using a multiple regression model to control for confounding factors, HLA-B*44 and C*01 were still positively and independently associated with COVID-19 a growth rate of 16% (95%CI 0.1-35%) per 1% point increase in B*44 prevalence; and of 19% (95%CI 1-41%) per 1% point increase in C*01 prevalence. Our epidemiologic analysis, despite the limits of the ecological approach, is strongly suggestive of a permissive role of HLA-C*01 and B*44 towards SARS-CoV-2 infection, which warrants further investigation in case-control studies. This study opens a new potential avenue for the identification of sub-populations at risk, which could provide Health Services with a tool to define more targeted clinical management strategies and priorities in vaccination campaigns.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / HLA-C Antigens / Coronavirus Infections / HLA-B44 Antigen Type of study: Observational study / Prognostic study Topics: Vaccines Limits: Humans Country/Region as subject: Europa Language: English Year: 2020 Document Type: Article Affiliation country: IJMS21155205

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / HLA-C Antigens / Coronavirus Infections / HLA-B44 Antigen Type of study: Observational study / Prognostic study Topics: Vaccines Limits: Humans Country/Region as subject: Europa Language: English Year: 2020 Document Type: Article Affiliation country: IJMS21155205