Evidence map›Paper›PMID 35069575›Full record

ArticleFrontiers in immunology2021

Comprehensive Flow Cytometry Profiling of the Immune System in COVID-19 Convalescent Individuals.

Sergio Gil-Manso, Iria Miguens Blanco, Rocío López-Esteban, Diego Carbonell, Luis Andrés López-Fernández, Lori West, Rafael Correa-Rocha, Marjorie Pion

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
  2. Decoding Immune Cell Doublets in Humans: From Artifacts to Insights.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. CD3bioRxiv : the preprint server for biology · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Deep Phenotyping of Neurologic Postacute Sequelae of SARS-CoV-2 Infection.Neurology(R) neuroimmunology & neuroinflammation · 2023
    Observational
  17. Article
  18. Review
  19. Article
  20. Review
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

8 authors at 2 institutions in 2 countries.

Sergio Gil-MansoLaboratory of Immune-Regulation, Gregorio Marañón Health Research Institute (IiSGM), Gregorio Marañón University General Hospital, Madrid, Spain.
Iria Miguens BlancoDepartment of Emergency, Gregorio Marañón University General Hospital, Madrid, Spain.
Rocío López-EstebanLaboratory of Immune-Regulation, Gregorio Marañón Health Research Institute (IiSGM), Gregorio Marañón University General Hospital, Madrid, Spain.
Diego CarbonellLaboratory of Immune-Regulation, Gregorio Marañón Health Research Institute (IiSGM), Gregorio Marañón University General Hospital, Madrid, Spain.
Luis Andrés López-FernándezService of Pharmacy, Gregorio Marañón Health Research Institute (IiSGM), Gregorio Marañón University General Hospital, Madrid, Spain.
Lori WestDepartment of Pediatrics, Alberta Transplant Institute and Canadian Donation and Transplantation Research Program, University of Alberta, Edmonton, AB, Canada.
Rafael Correa-RochaLaboratory of Immune-Regulation, Gregorio Marañón Health Research Institute (IiSGM), Gregorio Marañón University General Hospital, Madrid, Spain.
Marjorie PionLaboratory of Immune-Regulation, Gregorio Marañón Health Research Institute (IiSGM), Gregorio Marañón University General Hospital, Madrid, Spain.
Hospital General Universitario Gregorio Marañón · ESUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 has infected more than 200 million people worldwide, with more than 4 million associated deaths. Although more than 80% of infected people develop asymptomatic or mild COVID-19, SARS-CoV-2 can induce a profound dysregulation of the immune system. Therefore, it is important to investigate whether clinically recovered individuals present immune sequelae. The potential presence of a long-term dysregulation of the immune system could constitute a risk factor for re-infection and the development of other pathologies. Here, we performed a deep analysis of the immune system in 35 COVID-19 recovered individuals previously infected with SARS-CoV-2 compared to 16 healthy donors, by flow cytometry. Samples from COVID-19 individuals were analysed from 12 days to 305 days post-infection. We observed that, 10 months post-infection, recovered COVID-19 patients presented alterations in the values of some T-cell, B-cell, and innate cell subsets compared to healthy controls. Moreover, we found in recovered COVID-19 individuals increased levels of circulating follicular helper type 1 (cTfh1), plasmablast/plasma cells, and follicular dendritic cells (foDC), which could indicate that the Tfh-B-foDC axis might be functional to produce specific immunoglobulins 10 months post-infection. The presence of this axis and the immune system alterations could constitute prognosis markers and could play an important role in potential re-infection or the presence of long-term symptoms in some individuals.

Indexed as

ConvalescenceHealth PersonnelAdultAntibodies, ViralCase-Control StudiesCohort StudiesCOVID-19Dendritic Cells, FollicularFemaleFlow CytometryHumansLymphocyte ActivationMaleMiddle AgedPlasma CellsPolymerase Chain ReactionAntibodies, ViralCOVID-19flow cytometryimmune dysregulationimmune systemunsupervised algorithms

Identifiers

PMID35069575
PMCPMC8771913
OpenAlexW4206683529

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.