Evidence map›Paper›PMID 39772187›Full record

ArticleViruses2024

Genomic Evolution of the SARS-CoV-2 Omicron Variant in Córdoba, Argentina (2021-2022): Analysis of Uncommon and Prevalent Spike Mutations.

Nadia B Olivero, Victoria E Zappia, Pablo Gargantini, Candela Human-Gonzalez, Luciana Raya-Plasencia, Judith Marquez, Lucia Ortiz-Batsche, Mirelys Hernandez-Morfa, Paulo R Cortes, Danilo Ceschin and 3 more

Abstract read
In one paragraph

Article in Viruses, 2024. 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
–field-weighted citation impact
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.

  1. A comprehensive analysis of the SARS-CoV-2 omicron variant in Tocantins State, Brazil, and tracing the spread of the XBB.1.18.1 lineage.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
    Article
  2. Article
  3. 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

13 authors.

Nadia B OliveroCentro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI)-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Córdoba X5000HUA, Argentina.
Victoria E ZappiaCentro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI)-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Córdoba X5000HUA, Argentina.
Pablo GargantiniClínica Universitaria Reina Fabiola, Universidad Católica de Córdoba, Córdoba X5000HUA, Argentina.ORCID 0000-0001-5884-8387
Candela Human-GonzalezCentro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI)-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Córdoba X5000HUA, Argentina.
Luciana Raya-PlasenciaCentro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI)-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Córdoba X5000HUA, Argentina.
Judith MarquezClínica Universitaria Reina Fabiola, Universidad Católica de Córdoba, Córdoba X5000HUA, Argentina.
Lucia Ortiz-BatscheDepartment of Population Health, College of Veterinary Medicine, University of Georgia, Athens 30692, GA, USA.
Mirelys Hernandez-MorfaCentro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI)-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Córdoba X5000HUA, Argentina.
Paulo R CortesCentro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI)-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Córdoba X5000HUA, Argentina.
Danilo CeschinInstituto Universitario de Ciencias Biomedicas de Córdoba (IUCBC), Centro de Investigacion en Medicina Traslacional "Severo R. Amuchastegui" (CIMETSA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Córdoba X5000HUA, Argentina.
Mariana Nuñez-FernandezCentro de Química Aplicada, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba X5000HUA, Argentina.
Daniel R PerezDepartment of Population Health, College of Veterinary Medicine, University of Georgia, Athens 30692, GA, USA.ORCID 0000-0002-6569-5689
José EcheniqueCentro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI)-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Córdoba X5000HUA, Argentina.ORCID 0000-0003-2638-0577

Funding

National Agency of Scientific and Technological Promotion (ANPCYT) IP COVID-19 240; FONCYT PICT 2018 #2046National Institute of Allergy and Infectious Diseases Options 20E and 15B HHSN272201400008CScientific and Technological Secretary of the National University of Cordoba (SECYT-UNC) 126-2020
6 · The paper itself

Abstract

Understanding the evolutionary patterns and geographic spread of SARS-CoV-2 variants, particularly Omicron, is essential for effective public health responses. This study focused on the genomic analysis of the Omicron variant in Cordoba, Argentina from 2021 to 2022. Phylogenetic analysis revealed the dominant presence of BA.1 and BA.2 lineages, with BA.5 emerging earlier than BA.4, aligning with observations from other regions. Haplotype network analysis showed significant genetic divergence within Omicron samples, forming distinct clusters. In comparison to global datasets, we identified mutations in the Omicron genomes (A27S, Y145D, and L212I) situated within the NTD region of the Spike protein. These mutations, while not widespread globally, showed higher prevalence in our region. Of particular interest were the Y145D and L212I substitutions, previously unreported in Argentina. In silico analysis revealed that both mutations impact the binding affinity of T-cell epitopes to HLA type I and II alleles. Notably, these alleles are among the most common in the Argentinian population, with some associated with protection against and others with susceptibility to SARS-CoV-2 infection. These findings strongly suggest that these prevalent mutations likely influence the immunogenicity of the Spike protein and contribute to immune evasion mechanisms. This study provides valuable insights into the genomic dynamics of the Omicron variant in Cordoba, Argentina and highlights unique mutations with potential implications for COVID-19 vaccines.

Indexed as

COVID-19Evolution, MolecularGenome, ViralMutationPhylogenySARS-CoV-2Spike Glycoprotein, CoronavirusArgentinaEpitopes, T-LymphocyteGenomicsHumansEpitopes, T-LymphocyteSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2ArgentinaCordobaepidemiologyHLA allelesOmicronSARS-CoV-2T-cell epitopes

Identifiers

PMID39772187
PMCPMC11680156

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.