Evidence map›Paper›PMID 37488638›Full record

ArticleGenome medicine2023

Systematic genomic analysis of SARS-CoV-2 co-infections throughout the pandemic and segregation of the strains involved.

Daniel Peñas-Utrilla, Laura Pérez-Lago, Andrea Molero-Salinas, Agustín Estévez, Amadeo Sanz, Marta Herranz, Carolina Martínez-Laperche, Cristina Andrés-Zayas, Cristina Veintimilla, Pilar Catalán and 4 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. COVID-19: On the threshold of the fifth year. The situation in Spain.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2024
    Review
  4. Article
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

14 authors at 4 institutions in 1 country.

Daniel Peñas-UtrillaServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, C/Dr. Esquerdo 46, Madrid, 28007, Spain.ORCID 0000-0002-4454-4638
Laura Pérez-LagoServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, C/Dr. Esquerdo 46, Madrid, 28007, Spain. lperezg00@gmail.com.ORCID 0000-0001-5249-7619
Andrea Molero-SalinasServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, C/Dr. Esquerdo 46, Madrid, 28007, Spain.
Agustín EstévezServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, C/Dr. Esquerdo 46, Madrid, 28007, Spain.
Amadeo SanzServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, C/Dr. Esquerdo 46, Madrid, 28007, Spain.
Marta HerranzServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, C/Dr. Esquerdo 46, Madrid, 28007, Spain.
Carolina Martínez-LapercheInstituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.
Cristina Andrés-ZayasInstituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.
Cristina VeintimillaServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, C/Dr. Esquerdo 46, Madrid, 28007, Spain.
Pilar CatalánServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, C/Dr. Esquerdo 46, Madrid, 28007, Spain.
Roberto AlonsoServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, C/Dr. Esquerdo 46, Madrid, 28007, Spain.
Patricia MuñozServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, C/Dr. Esquerdo 46, Madrid, 28007, Spain.
Darío García de ViedmaServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, C/Dr. Esquerdo 46, Madrid, 28007, Spain. dgviedma2@gmail.com.ORCID 0000-0003-3647-7110
Gregorio Marañón Microbiology-ID COVID 19 Study Group
Hospital General Universitario Gregorio Marañón · ESInstituto de Salud Carlos III · ESUniversidad Complutense de Madrid · ESUniversidad de Alcalá · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSARS-CoV-2 recombinants involving the divergent Delta and Omicron lineages have been described, and one of them, "Kraken" (XBB.1.5), has recently been a matter of concern. Recombination requires the coexistence of two SARS-CoV-2 strains in the same individual. Only a limited number of studies have focused on the identification of co-infections and are restricted to co-infections involving the Delta/Omicron lineages.

methodsWe performed a systematic identification of SARS-CoV-2 co-infections throughout the pandemic (7609 different patients sequenced), not biassed towards the involvement of highly divergent lineages. Through a comprehensive set of validations based on the distribution of allelic frequencies, phylogenetic consistency, re-sequencing, host genetic analysis and contextual epidemiological analysis, these co-infections were robustly assigned.

resultsFourteen (0.18%) co-infections with ≥ 8 heterozygous calls (8-85 HZs) were identified. Co-infections were identified throughout the pandemic and involved an equal proportion of strains from different lineages/sublineages (including pre-Alpha variants, Delta and Omicron) or strains from the same lineage. Co-infected cases were mainly unvaccinated, with mild or asymptomatic clinical presentation, and most were at risk of overexposure associated with the healthcare environment. Strain segregation enabled integration of sequences to clarify nosocomial outbreaks where analysis had been impaired due to co-infection.

conclusionsCo-infection cases were identified throughout the pandemic, not just in the time periods when highly divergent lineages were co-circulating. Co-infections involving different lineages or strains from the same lineage were occurring in the same proportion. Most cases were mild, did not require medical assistance and were not vaccinated, and a large proportion were associated with the hospital environment.

Indexed as

CoinfectionCOVID-19GenomicsHumansPandemicsPhylogenySARS-CoV-2Co-infectionsSARS-CoV-2SegregationWGS

Identifiers

PMID37488638
PMCPMC10367318
OpenAlexW4385198630

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.