Evidence map›Paper›PMID 32576386›Full record

ReviewTrends in pharmacological sciences2020

Deciphering the TCR Repertoire to Solve the COVID-19 Mystery.

Lucas Gutierrez, John Beckford, Houda Alachkar

Abstract readReview
In one paragraph

Review in Trends in pharmacological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. T-cell receptor repertoires as potential diagnostic markers for patients with COVID-19.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
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  9. Defining T cell receptor repertoires using nanovial-based binding and functional screening.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  10. The molecular mechanisms of CD8Frontiers in immunology · 2024
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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

3 authors.

Lucas GutierrezDepartment of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA 90089-9121, USA.
John BeckfordDepartment of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA 90089-9121, USA.
Houda AlachkarDepartment of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA 90089-9121, USA. Electronic address: alachkar@usc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected several millions and killed more than quarter of a million worldwide to date. Important questions have remained unanswered: why some patients develop severe disease, while others do not; and what roles do genetic variabilities play in the individual immune response to this viral infection. Here, we discuss the critical role T cells play in the orchestration of the antiviral response underlying the pathogenesis of the disease, COVID-19. We highlight the scientific rationale for comprehensive and longitudinal TCR analyses in COVID-19 and reason that analyzing TCR repertoire in COVID-19 patients would reveal important findings that may explain the outcome disparity observed in these patients. Finally, we provide a framework describing the different strategies, the advantages, and the challenges involved in obtaining useful TCR repertoire data to advance our fight against COVID-19.

Indexed as

AnimalsBetacoronavirusCoronavirus InfectionsCOVID-19HumansPandemicsPneumonia, ViralReceptors, Antigen, T-CellSARS-CoV-2T-LymphocytesReceptors, Antigen, T-CellCOVID-19SARS-CoV-2T cell receptorsTCR repertoireTCR-seq

Identifiers

PMID32576386
PMCPMC7305739

What OpenQuestion 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 OpenQuestion graph.