Evidence map›Paper›PMID 34451952›Full record

ArticleVaccines2021

A Glimpse into the Diverse Cellular Immunity against SARS-CoV-2.

Cheng-Wei Chang, Yuchen Liu, Cheng Jiao, Hongwei Liu, Jie Gong, Xiaochuan Chen, Lung-Ji Chang

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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

7 authors at 3 institutions in 2 countries.

Cheng-Wei ChangShenzhen Geno-Immune Medical Institute, Shenzhen 518000, China.
Yuchen LiuShenzhen Geno-Immune Medical Institute, Shenzhen 518000, China.
Cheng JiaoShenzhen Geno-Immune Medical Institute, Shenzhen 518000, China.
Hongwei LiuSchool of Medicine, University of Electronic Science and Technology of China, Chengdu 610054, China.
Jie GongSchool of Medicine, University of Electronic Science and Technology of China, Chengdu 610054, China.
Xiaochuan ChenShenzhen Geno-Immune Medical Institute, Shenzhen 518000, China.
Lung-Ji ChangShenzhen Geno-Immune Medical Institute, Shenzhen 518000, China.ORCID 0000-0003-2395-5216
Shenzhen Genoimmune Medical Institute · CNUniversity of Electronic Science and Technology of China · CNSound Shore Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific cellular immune response has been shown to play a critical role in preventing severe illness or death in patients infected with SARS-CoV-2 or its variants. Given the multiple T-cell epitopes shared by wild-type virus and its variants, we hypothesized that vaccines that target multiple T-cell epitopes of SARS-CoV-2 may provide a "universal protection" against the wild-type virus as well as its variants, even the heavily mutated ones. To test this, we assessed SARS-CoV-2-specific T-cell precursors in healthy individuals using overlapping peptide pools of SARS-CoV-2 structural and functional proteins, including spike (S), membrane (M), envelope (E), nucleocapsid (N), and protease (P) proteins as target antigens. Diverse T-cell precursor frequencies specific to these viral antigens were detected in healthy individuals, including high, medium, low, and no responders. This was further confirmed by efficient induction of anti-SARS-CoV-2 T-cell immune responses using

Indexed as

cellular immunityCOVID-19SARS-CoV-2vaccine

Identifiers

PMID34451952
PMCPMC8402358
OpenAlexW3183867848

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.