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Genomic Characterization of SARS-CoV-2 Isolated from Patients with Distinct Disease Outcomes in Mexico.
Boukadida, Celia; Taboada, Blanca; Escalera-Zamudio, Marina; Isa, Pavel; Ramírez-González, José Ernesto; Vazquez-Perez, Joel Armando; Muñoz-Medina, José Esteban; Grajales-Muñiz, Concepción; González-Torres, Carolina; Gaytán-Cervantes, Francisco Javier; Rincón-Rubio, Alma; Matías-Florentino, Margarita; Esteban Paz-Juárez, Héctor; Sanchez-Flores, Alejandro; Mendieta-Condado, Edgar; Barrera-Badillo, Gisela; Hernández-Rivas, Lucía; López, Susana; López-Martínez, Irma; Ávila-Ríos, Santiago; Arias, Carlos F.
  • Boukadida C; Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratoriasgrid.419179.3 Ismael Cosío Villegas, Mexico City, Mexico.
  • Taboada B; Departamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
  • Escalera-Zamudio M; Department of Zoology, Oxford University, Oxford, United Kingdom.
  • Isa P; Departamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
  • Ramírez-González JE; Instituto de Diagnóstico y Referencia Epidemiológicos, Dirección General de Epidemiología, Mexico City, Mexico.
  • Vazquez-Perez JA; Instituto Nacional de Enfermedades Respiratoriasgrid.419179.3 Ismael Cosío Villegas, Mexico City, Mexico.
  • Muñoz-Medina JE; División de Laboratorios de Vigilancia e Investigación Epidemiológica, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
  • Grajales-Muñiz C; Coordinación de Control Técnico de Insumos, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
  • González-Torres C; División de Desarrollo de la Investigación, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
  • Gaytán-Cervantes FJ; División de Desarrollo de la Investigación, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
  • Rincón-Rubio A; Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratoriasgrid.419179.3 Ismael Cosío Villegas, Mexico City, Mexico.
  • Matías-Florentino M; Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratoriasgrid.419179.3 Ismael Cosío Villegas, Mexico City, Mexico.
  • Esteban Paz-Juárez H; Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratoriasgrid.419179.3 Ismael Cosío Villegas, Mexico City, Mexico.
  • Sanchez-Flores A; Unidad Universitaria de Secuenciación Masiva y Bioinformática, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
  • Mendieta-Condado E; Instituto de Diagnóstico y Referencia Epidemiológicos, Dirección General de Epidemiología, Mexico City, Mexico.
  • Barrera-Badillo G; Instituto de Diagnóstico y Referencia Epidemiológicos, Dirección General de Epidemiología, Mexico City, Mexico.
  • Hernández-Rivas L; Instituto de Diagnóstico y Referencia Epidemiológicos, Dirección General de Epidemiología, Mexico City, Mexico.
  • López S; Departamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
  • López-Martínez I; Instituto de Diagnóstico y Referencia Epidemiológicos, Dirección General de Epidemiología, Mexico City, Mexico.
  • Ávila-Ríos S; Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratoriasgrid.419179.3 Ismael Cosío Villegas, Mexico City, Mexico.
  • Arias CF; Departamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
Microbiol Spectr ; 10(1): e0124921, 2022 02 23.
Article in English | MEDLINE | ID: covidwho-1622003
ABSTRACT
The coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has shown a wide spectrum of clinical manifestations ranging from asymptomatic infections to severe disease and death. Pre-existing medical conditions and age have been mainly linked to the development of severe disease; however, the potential association of viral genetic characteristics with different clinical conditions remains unclear. SARS-CoV-2 variants with increased transmissibility were detected early in the pandemics, and several variants with potential relevance for public health are currently circulating around the world. In this study, we characterized 57 complete SARS-CoV-2 genomes during the exponential growth phase of the early epidemiological curve in Mexico, in April 2020. Patients were categorized under distinct disease severity

outcomes:

mild disease or ambulatory care, severe disease or hospitalized, and deceased. To reduce bias related to risk factors, the patients were less than 60 years old and with no diagnosed comorbidities A trait-association phylogenomic approach was used to explore genotype-phenotype associations, represented by the co-occurrence of mutations, disease severity outcome categories, and clusters of Mexican sequences. Phylogenetic results revealed a higher genomic diversity compared to the initial viruses detected during the early stage of the local epidemic. We identified a total of 90 single nucleotide variants compared to the Wuhan-Hu-1 genome, including 54 nonsynonymous mutations. We did not find evidence for the co-occurrence of mutations associated with specific disease outcomes. Therefore, in the group of patients studied, disease severity was likely mainly driven by the host genetic background and other demographic factors. IMPORTANCE The genetic association of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) with different clinical conditions remains unclear and needs further investigation. In this study, we characterized 57 complete SARS-CoV-2 genomes from patients in Mexico with distinct disease severity

outcomes:

mild disease or ambulatory care, severe disease or hospitalized, and deceased. To reduce bias related to risk factors the patients were less than 60 years old and with no diagnosed comorbidities. We did not find evidence for the co-occurrence of mutations associated with specific disease outcomes. Therefore, in the group of patients studied, disease severity was likely mainly driven by the host genetic background and other demographic factors.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Genome, Viral / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid / Variants Limits: Adult / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: Mexico Language: English Journal: Microbiol Spectr Year: 2022 Document Type: Article Affiliation country: Spectrum.01249-21

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Genome, Viral / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid / Variants Limits: Adult / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: Mexico Language: English Journal: Microbiol Spectr Year: 2022 Document Type: Article Affiliation country: Spectrum.01249-21