Evidence map›Paper›PMID 35019701›Full record

ArticleMicrobiology spectrum2022

Genomic Characterization of SARS-CoV-2 Isolated from Patients with Distinct Disease Outcomes in Mexico.

Celia Boukadida, Blanca Taboada, Marina Escalera-Zamudio, Pavel Isa, José Ernesto Ramírez-González, Joel Armando Vazquez-Perez, José Esteban Muñoz-Medina, Concepción Grajales-Muñiz, Carolina González-Torres, Francisco Javier Gaytán-Cervantes and 11 more

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 38% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors at 5 institutions in 2 countries.

Celia Boukadida *Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratoriasgrid.419179.3 Ismael Cosío Villegas, Mexico City, Mexico.
Blanca Taboada *Departamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
Marina Escalera-ZamudioDepartment of Zoology, Oxford University, Oxford, United Kingdom.ORCID 0000-0002-4773-2773
Pavel IsaDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
José Ernesto Ramírez-GonzálezInstituto de Diagnóstico y Referencia Epidemiológicos, Dirección General de Epidemiología, Mexico City, Mexico.
Joel Armando Vazquez-PerezInstituto Nacional de Enfermedades Respiratoriasgrid.419179.3 Ismael Cosío Villegas, Mexico City, Mexico.
José Esteban Muñoz-MedinaDivisión de Laboratorios de Vigilancia e Investigación Epidemiológica, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
Concepción Grajales-MuñizCoordinación de Control Técnico de Insumos, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
Carolina González-TorresDivisión de Desarrollo de la Investigación, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
Francisco Javier Gaytán-CervantesDivisión de Desarrollo de la Investigación, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
Alma Rincón-RubioCentro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratoriasgrid.419179.3 Ismael Cosío Villegas, Mexico City, Mexico.
Margarita Matías-FlorentinoCentro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratoriasgrid.419179.3 Ismael Cosío Villegas, Mexico City, Mexico.
Héctor Esteban Paz-JuárezCentro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratoriasgrid.419179.3 Ismael Cosío Villegas, Mexico City, Mexico.
Alejandro Sanchez-FloresUnidad Universitaria de Secuenciación Masiva y Bioinformática, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
Edgar Mendieta-CondadoInstituto de Diagnóstico y Referencia Epidemiológicos, Dirección General de Epidemiología, Mexico City, Mexico.
Gisela Barrera-BadilloInstituto de Diagnóstico y Referencia Epidemiológicos, Dirección General de Epidemiología, Mexico City, Mexico.
Lucía Hernández-RivasInstituto de Diagnóstico y Referencia Epidemiológicos, Dirección General de Epidemiología, Mexico City, Mexico.
Susana LópezDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.ORCID 0000-0001-6336-9209
Irma López-MartínezInstituto de Diagnóstico y Referencia Epidemiológicos, Dirección General de Epidemiología, Mexico City, Mexico.
Santiago Ávila-RíosCentro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratoriasgrid.419179.3 Ismael Cosío Villegas, Mexico City, Mexico.
Carlos F AriasDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.ORCID 0000-0003-3130-4501
Instituto Nacional de Enfermedades Respiratorias · MXDireccion General de Epidemiologia · MXUniversidad Nacional Autónoma de México · MXMexican Social Security Institute · MXUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Genome, ViralAdultAge FactorsAmbulatory CareCluster AnalysisCOVID-19FemaleGenotypeHospitalizationHumansMaleMexicoMiddle AgedMutationPhenotypePhylogenydistinct clinical outcomesgenomic diversityMexicoSARS-CoV-2

Identifiers

PMID35019701
PMCPMC8754132
OpenAlexW4205944066

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.