Evidence map›Paper›PMID 34873598›Full record

ArticlebioRxiv : the preprint server for biology2021

SARS-CoV-2-specific T cells in unexposed adults display broad trafficking potential and cross-react with commensal antigens.

Laurent Bartolo, Sumbul Afroz, Yi-Gen Pan, Ruozhang Xu, Lea Williams, Chin-Fang Lin, Elliot S Friedman, Phyllis A Gimotty, Gary D Wu, Laura F Su

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2021. 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, 14 citations in OpenAlex.

  1. Review
  2. Spatial biology of cancer evolution.Nature reviews. Genetics · 2023
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Laurent BartoloDepartment of Medicine, Division of Rheumatology, Perelman School of Medicine, Institute for Immunology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Sumbul AfrozDepartment of Medicine, Division of Rheumatology, Perelman School of Medicine, Institute for Immunology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Yi-Gen PanDepartment of Medicine, Division of Rheumatology, Perelman School of Medicine, Institute for Immunology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Ruozhang XuDepartment of Medicine, Division of Rheumatology, Perelman School of Medicine, Institute for Immunology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Lea WilliamsDepartment of Medicine, Division of Rheumatology, Perelman School of Medicine, Institute for Immunology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Chin-Fang LinDepartment of Medicine, Division of Rheumatology, Perelman School of Medicine, Institute for Immunology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Elliot S FriedmanDivision of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Phyllis A GimottyDepartment of Biostatistics, Informatics, and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia PA 19104, USA.
Gary D WuDivision of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Laura F SuDepartment of Medicine, Division of Rheumatology, Perelman School of Medicine, Institute for Immunology, University of Pennsylvania, Philadelphia, PA 19104, USA.
University of Pennsylvania · USPhiladelphia VA Medical Center · US

Funding

Defining the impact of pre-existing memory T cells in human immunityR01AI134879 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI SU, LAURA · 2017 to 2021
$2.5M
COVID-19 Related Tissue ImmunopathologyI01BX005422 · VA · PHILADELPHIA VA MEDICAL CENTER · PI SU, LAURA · 2021 to 2023
–
BLRD VA I01 BX005422NIAID NIH HHS R01 AI134879
6 · The paper itself

Abstract

The baseline composition of T cells directly impacts later response to a pathogen, but the complexity of precursor states remains poorly defined. Here we examined the baseline state of SARS-CoV-2 specific T cells in unexposed individuals. SARS-CoV-2 specific CD4 ONE SENTENCE SUMMARY: Pre-existing immunity to SARS-CoV-2 contains a complex pool of precursor lymphocytes that include differentiated cells with broad tissue tropism and the potential to cross-react with commensal antigens.

Identifiers

PMID34873598
PMCPMC8647649
OpenAlexW3214977149

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.