Evidence map›Paper›PMID 35436751›Full record

ArticleImmunobiology2022

Assessment of changes in immune status linked to COVID-19 convalescent and its clinical severity in patients and uninfected exposed relatives.

Bárbara Torres Rives, Yaíma Zúñiga Rosales, Minerva Mataran Valdés, Hilda Roblejo Balbuena, Goitybell Martínez Téllez, Jacqueline Rodríguez Pérez, Lilia Caridad Marín Padrón, Cira Rodríguez Pelier, Francisco Sotomayor Lugo, Anet Valdés Zayas and 5 more

Open access · greenAbstract read
In one paragraph

Article in Immunobiology, 2022. 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
0.3field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 3 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

15 authors at 3 institutions in 1 country.

Bárbara Torres RivesNational Center of Medical Genetics, 146 Ave No 3102, Havana 11300, Cuba. Electronic address: barbaratorresrives@gmail.com.
Yaíma Zúñiga RosalesNational Center of Medical Genetics, 146 Ave No 3102, Havana 11300, Cuba.
Minerva Mataran ValdésNational Center of Medical Genetics, 146 Ave No 3102, Havana 11300, Cuba.
Hilda Roblejo BalbuenaNational Center of Medical Genetics, 146 Ave No 3102, Havana 11300, Cuba.
Goitybell Martínez TéllezNational Center of Medical Genetics, 146 Ave No 3102, Havana 11300, Cuba.
Jacqueline Rodríguez PérezNational Center of Medical Genetics, 146 Ave No 3102, Havana 11300, Cuba.
Lilia Caridad Marín PadrónNational Center of Medical Genetics, 146 Ave No 3102, Havana 11300, Cuba.
Cira Rodríguez PelierNational Center of Medical Genetics, 146 Ave No 3102, Havana 11300, Cuba.
Francisco Sotomayor LugoNational Center of Medical Genetics, 146 Ave No 3102, Havana 11300, Cuba.
Anet Valdés ZayasMolecular Immunology Center. Havana, Cuba.
Tania Carmenate PortillaMolecular Immunology Center. Havana, Cuba.
Belinda Sánchez RamírezMolecular Immunology Center. Havana, Cuba.
Luis Carlos Silva AycaguerNational School of Public Health. Havana, Cuba.
José Angel Portal MirandaMinistry of Public Health, Havana, Cuba.
Beatriz Marcheco TeruelNational Center of Medical Genetics, 146 Ave No 3102, Havana 11300, Cuba.
Cuban Neuroscience Center · CUCenter of Molecular Immunology (Cuba) · CUMinisterio de Salud Pública · CU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe immune response during and after SARS-CoV-2 infection can be complex and heterogeneous, and it can be affected by the severity of the disease. It can also contribute to an unfavorable evolution and bring about short and long term effects. The aim of this study was to characterize the lymphocyte composition according to the severity of COVID-19, as well as its degree of relationship to the specific humoral response to SARS-CoV-2 in convalescents up to 106 days after the infection and in their exposed relatives.

methodsAn applied research was carried out with a cross-section analytical design, from March 11 to June 11, 2020 in Cuba. The sample consisted of 251 convalescents from COVID-19 over 18 years of age and 88 exposed controls who did not become ill. The B and T cell subpopulations, including memory T cells, as well as the relationship with the humoral immune response against SARS-CoV-2, were identified by flow cytometry and enzyme immunoassay.

resultsConvalescent patients, who evolved with severe forms, showed a decrease in frequency and a greater proportion of individuals with values ​​lower than the minimum normal range of B cells, CD3 + CD4 + cells and the CD4 + / CD8 + ratio, as well as a higher frequency and a greater proportion of individuals with values ​​above the normal maximum range of CD3 + CD8 + and NK cells. Convalescent patients with severe forms of COVID-19 that exhibited IgG / RBD titers ≥ 1/200 had a lower frequency of TEMRA CD8 + cells (p = 0.0128) and TEMRA CD4 + (p = 0.0068). IgG / RBD titers were positively correlated with the relative frequency of CD4 + CM T memory cells (r = 0.4352, p = 0.0018).

conclusionsThe identified alterations of B and T lymphocytes suggest that convalescent patients with the severe disease could be vulnerable to infectious, autoimmune or autotinflammatory processes; therefore, these individuals need medical follow-up after recovering from the acute disease. Furthermore, the role of T cells CD4 + CM in the production of antibodies against SARS-CoV-2 is confirmed, and it is noted that the defect of memory T cells CD8 + TEMRA could contribute to the development of severe forms of COVID-19.

Indexed as

COVID-19AdolescentAdultAntibodies, ViralCD8-Positive T-LymphocytesHumansImmunoglobulin GSARS-CoV-2Antibodies, ViralImmunoglobulin GCOVID-19Immune responseSeverity

Identifiers

PMID35436751
PMCPMC9004226
OpenAlexW4223563259

What Socratic holds

Textmetadata
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.