Evidence map›Paper›PMID 38167915›Full record

ArticleNPJ vaccines2024

A quest for universal anti-SARS-CoV-2 T cell assay: systematic review, meta-analysis, and experimental validation.

Akshay Binayke, Aymaan Zaheer, Siddhesh Vishwakarma, Savita Singh, Priyanka Sharma, Rucha Chandwaskar, Mudita Gosain, Sreevatsan Raghavan, Deepika Rathna Murugesan, Pallavi Kshetrapal and 5 more

Abstract read
In one paragraph

Article in NPJ vaccines, 2024. 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
–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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Cancer and COVID-19: A review of immune insights and partnerships to inform public health strategy.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2026
    Review
  6. Review
  7. Article
  8. Observational
  9. Article
  10. Observational
  11. UnveilingiScience · 2025
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

15 authors.

Akshay Binayke *Immunology Core Laboratory, Translational Health Science and Technology Institute, Faridabad, India.ORCID http://orcid.org/0000-0002-9808-9036
Aymaan Zaheer *Immunology Core Laboratory, Translational Health Science and Technology Institute, Faridabad, India.
Siddhesh VishwakarmaImmunology Core Laboratory, Translational Health Science and Technology Institute, Faridabad, India.
Savita SinghTranslational Health Science and Technology Institute, Faridabad, India.
Priyanka SharmaImmunology Core Laboratory, Translational Health Science and Technology Institute, Faridabad, India.
Rucha ChandwaskarDepartment of Microbiology, AMITY University Rajasthan, Jaipur, India.
Mudita GosainTranslational Health Science and Technology Institute, Faridabad, India.
Sreevatsan RaghavanTranslational Health Science and Technology Institute, Faridabad, India.
Deepika Rathna MurugesanTranslational Health Science and Technology Institute, Faridabad, India.
Pallavi KshetrapalTranslational Health Science and Technology Institute, Faridabad, India.
Ramachandran ThiruvengadamTranslational Health Science and Technology Institute, Faridabad, India.
Shinjini BhatnagarTranslational Health Science and Technology Institute, Faridabad, India.
Anil Kumar PandeyESIC Medical College and Hospital, Faridabad, India.
Pramod Kumar GargTranslational Health Science and Technology Institute, Faridabad, India.
Amit AwasthiImmunology Core Laboratory, Translational Health Science and Technology Institute, Faridabad, India. aawasthi@thsti.res.in.ORCID http://orcid.org/0000-0002-2563-1971

Funding

Department of Biotechnology, Ministry of Science and Technology (DBT) BT/CS0010/CS/02/20
6 · The paper itself

Abstract

Measuring SARS-CoV-2-specific T cell responses is crucial to understanding an individual's immunity to COVID-19. However, high inter- and intra-assay variability make it difficult to define T cells as a correlate of protection against COVID-19. To address this, we performed systematic review and meta-analysis of 495 datasets from 94 original articles evaluating SARS-CoV-2-specific T cell responses using three assays - Activation Induced Marker (AIM), Intracellular Cytokine Staining (ICS), and Enzyme-Linked Immunospot (ELISPOT), and defined each assay's quantitative range. We validated these ranges using samples from 193 SARS-CoV-2-exposed individuals. Although IFNγ ELISPOT was the preferred assay, our experimental validation suggested that it under-represented the SARS-CoV-2-specific T cell repertoire. Our data indicate that a combination of AIM and ICS or FluoroSpot assay would better represent the frequency, polyfunctionality, and compartmentalization of the antigen-specific T cell responses. Taken together, our results contribute to defining the ranges of antigen-specific T cell assays and propose a choice of assay that can be employed to better understand the cellular immune response against viral diseases.

Identifiers

PMID38167915
PMCPMC10762233

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LicenceCC BY
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Registered trials

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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.