Evidence map›Paper›PMID 38746751›Full record

ArticleFrontiers in microbiology2024

Genomic surveillance and serological profile of SARS-CoV-2 variants circulating in Macaé and nearby cities, southeastern Brazil.

Amanda Cristina Veiga Fernandes da Silva, Carina Azevedo Oliveira Silva, Graziele Fonseca de Sousa, Viktoria Aparecida Gomes Silva Coelho, Lucas Tavares da Cunha, Artur Nunes Paes, Allan Pierre Bonetti Pozzobon, Daniele das Graças Dos Santos, Raphael Mello Carpes, Evenilton Pessoa Costa and 4 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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.

Amanda Cristina Veiga Fernandes da SilvaLaboratório Integrado de Doenças Emergentes e Negligenciadas, Instituto de Biodiversidade e Sustentabilidade (NUPEM) - Universidade Federal do Rio de Janeiro (UFRJ), Macaé, Brazil.
Carina Azevedo Oliveira SilvaLaboratório Integrado de Doenças Emergentes e Negligenciadas, Instituto de Biodiversidade e Sustentabilidade (NUPEM) - Universidade Federal do Rio de Janeiro (UFRJ), Macaé, Brazil.
Graziele Fonseca de SousaLaboratório Integrado de Doenças Emergentes e Negligenciadas, Instituto de Biodiversidade e Sustentabilidade (NUPEM) - Universidade Federal do Rio de Janeiro (UFRJ), Macaé, Brazil.
Viktoria Aparecida Gomes Silva CoelhoLaboratório Integrado de Doenças Emergentes e Negligenciadas, Instituto de Biodiversidade e Sustentabilidade (NUPEM) - Universidade Federal do Rio de Janeiro (UFRJ), Macaé, Brazil.
Lucas Tavares da CunhaLaboratório Integrado de Doenças Emergentes e Negligenciadas, Instituto de Biodiversidade e Sustentabilidade (NUPEM) - Universidade Federal do Rio de Janeiro (UFRJ), Macaé, Brazil.
Artur Nunes PaesLaboratório Integrado de Doenças Emergentes e Negligenciadas, Instituto de Biodiversidade e Sustentabilidade (NUPEM) - Universidade Federal do Rio de Janeiro (UFRJ), Macaé, Brazil.
Allan Pierre Bonetti PozzobonLaboratório Integrado de Doenças Emergentes e Negligenciadas, Instituto de Biodiversidade e Sustentabilidade (NUPEM) - Universidade Federal do Rio de Janeiro (UFRJ), Macaé, Brazil.
Daniele das Graças Dos SantosLaboratório Integrado de Doenças Emergentes e Negligenciadas, Instituto de Biodiversidade e Sustentabilidade (NUPEM) - Universidade Federal do Rio de Janeiro (UFRJ), Macaé, Brazil.
Raphael Mello CarpesLaboratório Integrado de Doenças Emergentes e Negligenciadas, Instituto de Biodiversidade e Sustentabilidade (NUPEM) - Universidade Federal do Rio de Janeiro (UFRJ), Macaé, Brazil.
Evenilton Pessoa CostaLaboratório Integrado de Doenças Emergentes e Negligenciadas, Instituto de Biodiversidade e Sustentabilidade (NUPEM) - Universidade Federal do Rio de Janeiro (UFRJ), Macaé, Brazil.
Cintia Monteiro-de-BarrosLaboratório Integrado de Doenças Emergentes e Negligenciadas, Instituto de Biodiversidade e Sustentabilidade (NUPEM) - Universidade Federal do Rio de Janeiro (UFRJ), Macaé, Brazil.
José Luciano Nepomuceno-SilvaLaboratório Integrado de Doenças Emergentes e Negligenciadas, Instituto de Biodiversidade e Sustentabilidade (NUPEM) - Universidade Federal do Rio de Janeiro (UFRJ), Macaé, Brazil.
Raquel de Souza GestinariLaboratório Integrado de Doenças Emergentes e Negligenciadas, Instituto de Biodiversidade e Sustentabilidade (NUPEM) - Universidade Federal do Rio de Janeiro (UFRJ), Macaé, Brazil.
Flávia Borges MuryLaboratório Integrado de Doenças Emergentes e Negligenciadas, Instituto de Biodiversidade e Sustentabilidade (NUPEM) - Universidade Federal do Rio de Janeiro (UFRJ), Macaé, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: A characteristic of the COVID-19 pandemic has been the sequential emergence and global dissemination of SARS-CoV-2 variants, noted for their enhanced transmission efficiency. These variants with mutations in the Spike glycoprotein (S-glycoprotein), which interacts with ACE2 receptors in human cells is critical for infection, affects the transmissibility of the virus, which is a matter of great concern for public health. Objective: This research analyses the effects these variants on a cohort of vaccinated and naturally infected individuals from the cities of Macaé-RJ, Rio das Ostras-RJ, and Campos dos Goytacazes-RJ, Brazil, from March 2021 to March 2023. Methods: This investigation encompasses the Alpha (B.1.1.7), Gamma (P.1), Delta (B.1.617.2, B.1.671.3), and Omicron (BQ.1, BQ.1.1 sublines, and BF.7) variants, focusing on their genomic surveillance and implications for the disease's epidemiology. The experimental analysis included a control group (vaccinated and uninfected subjects), and an infected group (post-vaccinated subjects). Samples from nasopharyngeal swabs underwent viral detection via RT-qPCR for diagnosis confirmation. RNase H-dependent RT-qPCR (rhAmp-PCR) and third-generation sequencing were used to detect SARS-CoV-2 variants. Anti-S-glycoprotein immunoglobulins were also evaluated for vaccinated infected and noninfected volunteers. Symptoms from infected individuals were compiled in order to reveal patterns of clinical signs associated with viral infection. Results: The study included 289 participants, with infections identified by Gamma ( Conclusion: This comprehensive study enables monitoring of predominant variants and their correlation with clinical cases, providing valuable insights for public health. Our research group continues to survey circulating variants, contributing to the global understanding of the pandemic.

Indexed as

COVID-19genomic surveillanceSARS-CoV-2serologyvariants

Identifiers

PMID38746751
PMCPMC11091293

What Socratic 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 Socratic graph.