Evidence map›Paper›PMID 36065205›Full record

ReviewCurrent research in immunology2022

T cell immunity is key to the pandemic endgame: How to measure and monitor it.

Megan Schwarz, Slim Mzoughi, Daniel Lozano-Ojalvo, Anthony T Tan, Antonio Bertoletti, Ernesto Guccione

Open access · goldAbstract readReview
In one paragraph

Review in Current research in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 7% 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, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  12. Quantification of heterogeneity in human 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

6 authors at 2 institutions in 2 countries.

Megan SchwarzDepartment of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, NY, USA.
Slim MzoughiDepartment of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, NY, USA.
Daniel Lozano-OjalvoPrecision Immunology Institute, Icahn School of Medicine at Mount Sinai, NY, USA.
Anthony T TanProgramme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore.
Antonio BertolettiProgramme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore.
Ernesto GuccioneDepartment of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, NY, USA.
Icahn School of Medicine at Mount Sinai · USDuke-NUS Medical School · SG

Funding

THE TISCH CANCER INSTITUTE - CANCER CENTER SUPPORT GRANTP30CA196521 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Deanna L Benson · 2015 to 2026
$35.4M
TRAINING PROGRAM IN CANCER THERAPYT32CA078207 · NCI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI James J Manfredi · 1999 to 2026
$11.6M
NCI NIH HHS P30 CA196521NCI NIH HHS T32 CA078207
6 · The paper itself

Abstract

As vaccine deployment improves the healthcare emergency status caused by the SARS-CoV-2 pandemic, we need reliable tools to evaluate the duration of protective immunity at a global scale. Seminal studies have demonstrated that while neutralizing antibodies can protect us from viral infection, T cell-mediated cellular immunity provides long-term protection from severe COVID-19, even in the case of emerging new variants of concern (VOC). Indeed, the emergence of VOCs, able to substantially escape antibodies generated by current vaccines, has made the analysis of correlates of humoral protection against infection obsolete. The focus should now shift towards immunological correlates of protection from disease based on quantification of cellular immunity. Despite this evidence, an assessment of T cell responses is still overlooked. This is largely due to technical challenges and lack of validated diagnostic tests. Here, we review the current state of the art of available tests to distinguish between SARS-CoV-2 antigen-specific Tcells and non-antigen specific T-cells. These assays range from the analysis of the T cell-receptor (TCR) diversity (i.e. Immunoseq and MHC tetramer staining) to the detection of functional T cell activation (i.e. ICS, AIM, Elispot, ELLA, dqTACT, etc.) either from purified Peripheral Blood Mononuclear Cells (PBMCs) or whole blood. We discuss advantages and disadvantages of each assay, proposing their ideal use for different scopes. Finally, we argue how it is paramount to deploy cheap, standardized, and scalable assays to measure T cell functionality to fill this critical diagnostic gap and manage these next years of the pandemic.

Indexed as

Cellular immunityqPCRSARS-CoV-2T-cells

Identifiers

PMID36065205
PMCPMC9434079
OpenAlexW4294081531

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.