Evidence map›Paper›PMID 24164540›Full record

ArticleImmunology2014

CD49a promotes T-cell-mediated hepatitis by driving T helper 1 cytokine and interleukin-17 production.

Yonglin Chen, Hui Peng, Yongyan Chen, Haiming Wei, Rui Sun, Zhigang Tian

Open access · greenAbstract read
In one paragraph

Article in Immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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  5. 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

6 authors at 1 institution in 1 country.

Yonglin ChenDepartment of Immunology, School of Life Sciences, University of Science and Technology of China, Hefei, Anhui, China.
Hui Peng
Yongyan Chen
Haiming Wei
Rui Sun
Zhigang Tian
University of Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is becoming increasingly clear that the T-cell-mediated immune response is important in many diseases. In this study, we used concanavalin A (Con A) -induced hepatitis to investigate the role of CD49a in the molecular and cellular mechanism of the T-cell-mediated immune response. We found that CD49a(-/-) mice had significantly reduced levels of serum alanine aminotransferase and were protected from Con A-induced hepatitis. CD49a deficiency led to decreased production of interferon-γ (IFN-γ) and interleukin-17A (IL-17A) after Con A injection. Furthermore, we found that hepatic CD4(+) T cells and invariant natural killer T cells up-regulated CD49a expression, along with enhanced activation after Con A injection, leading to production of inflammatory cytokines by these T cells. Blockade of CD49a in vivo ameliorated Con A-induced hepatitis with reduced production of IFN-γ and IL-17A. Hence, CD49a promoted Con A-induced hepatitis through enhancing inflammatory cytokine production (IFN-γ and IL-17A) by CD4(+) T and invariant natural killer T cells. The protective effect of CD49a blockade antibody suggested a new target therapeutic molecule for intervention of T-cell-mediated liver injury.

Indexed as

Immunity, CellularAlanine TransaminaseAnimalsBiomarkersCells, CulturedChemical and Drug Induced Liver InjuryConcanavalin ADisease Models, AnimalInflammation MediatorsIntegrin alpha1Interferon-gammaInterleukin-17Lymphocyte ActivationMaleMiceMice, Inbred C57BLAlanine TransaminaseBiomarkersConcanavalin AIl17a protein, mouseInflammation MediatorsIntegrin alpha1Interferon-gammaInterleukin-17CD49ainterferon-γinterleukin-17AT-cell-mediated hepatitis

Identifiers

PMID24164540
PMCPMC3930377
OpenAlexW2004748100

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.