Evidence map›Paper›PMID 36433939›Full record

ArticleNature communications2022

Immune phenotypes that are associated with subsequent COVID-19 severity inferred from post-recovery samples.

Thomas Liechti, Yaser Iftikhar, Massimo Mangino, Margaret Beddall, Charles W Goss, Jane A O'Halloran, Philip A Mudd, Mario Roederer

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. T Regulatory Cell Subsets Do Not Restore for One Year After Acute COVID-19.International journal of molecular sciences · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Thomas LiechtiImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Maryland, 20892, USA. liechti.thom@gmail.com.ORCID 0000-0001-8738-6679
Yaser IftikharImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Maryland, 20892, USA.
Massimo ManginoDepartment of Twin Research & Genetic Epidemiology, King's College of London, London, UK.ORCID 0000-0002-2167-7470
Margaret BeddallImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Maryland, 20892, USA.
Charles W GossDivision of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA.
Jane A O'HalloranDivision of Infectious Diseases, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0001-8265-9471
Philip A MuddDepartment of Emergency Medicine, Washington University School of Medicine, St. Louis, MO, 63110, USA.ORCID 0000-0002-3860-5473
Mario RoedererImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Maryland, 20892, USA. roederer@nih.gov.ORCID 0000-0001-7448-7040
Washington University in St. Louis · USImmune Regulation (United Kingdom) · GBKing's College London · GBOffice of the Director · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
NCATS NIH HHS UL1 TR002345NCI NIH HHS P30 CA091842
6 · The paper itself

Abstract

Severe COVID-19 causes profound immune perturbations, but pre-infection immune signatures contributing to severe COVID-19 remain unknown. Genome-wide association studies (GWAS) identified strong associations between severe disease and several chemokine receptors and molecules from the type I interferon pathway. Here, we define immune signatures associated with severe COVID-19 using high-dimensional flow cytometry. We measure the cells of the peripheral immune system from individuals who recovered from mild, moderate, severe or critical COVID-19 and focused only on those immune signatures returning to steady-state. Individuals that suffered from severe COVID-19 show reduced frequencies of T cell, mucosal-associated invariant T cell (MAIT) and dendritic cell (DC) subsets and altered chemokine receptor expression on several subsets, such as reduced levels of CCR1 and CCR2 on monocyte subsets. Furthermore, we find reduced frequencies of type I interferon-producing plasmacytoid DCs and altered IFNAR2 expression on several myeloid cells in individuals recovered from severe COVID-19. Thus, these data identify potential immune mechanisms contributing to severe COVID-19.

Indexed as

COVID-19Interferon Type IDendritic CellsGenome-Wide Association StudyHumansPhenotypeReceptors, ChemokineInterferon Type IReceptors, Chemokine

Identifiers

PMID36433939
PMCPMC9700777
OpenAlexW4310060189

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.