Evidence map›Paper›PMID 42483202›Full record

ArticleFrontiers in immunology2026

Transcriptomic profiling of autoimmune hepatitis identifies TRAT1 as an

Jiapeng Gao, Lixia Huo, Jianfeng Zhong, Jiexun Cai, Jing Yu, Jingwen Li, Junbo Jiang, Chuanzi Hong, Yunliang Yao, Min Feng

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Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Jiapeng Gao *First Affiliated Hospital, Huzhou Normal University, Huzhou, China.
Lixia Huo *First Affiliated Hospital, Huzhou Normal University, Huzhou, China.
Jianfeng Zhong *Huzhou Central Hospital, The Affiliated Central Hospital of Huzhou Normal University, Huzhou, China.
Jiexun CaiSchool of Medicine & Nursing, Huzhou Normal University, Huzhou, China.
Jing YuFirst Affiliated Hospital, Huzhou Normal University, Huzhou, China.
Jingwen LiSchool of Medicine & Nursing, Huzhou Normal University, Huzhou, China.
Junbo JiangSchool of Medicine & Nursing, Huzhou Normal University, Huzhou, China.
Chuanzi HongSchool of Medicine & Nursing, Huzhou Normal University, Huzhou, China.
Yunliang YaoFirst Affiliated Hospital, Huzhou Normal University, Huzhou, China.
Min FengFirst Affiliated Hospital, Huzhou Normal University, Huzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: T cell receptor-associated transmembrane adaptor 1 (TRAT1) is a well-characterized regulator of T-cell signaling, yet its functional roles in innate lymphocytes remain largely undefined. This study aimed to identify autoimmune hepatitis (AIH)-associated immune targets and perform an exploratory functional characterization of TRAT1 in NK-cell models. Methods: We performed transcriptomic analysis on liver tissues from AIH patients and disease controls to prioritize candidate genes. Public datasets and a Concanavalin A (ConA)-induced acute immune-mediated hepatitis murine model were used for contextualization and experimental support for Trat1 expression and immune cell dynamics. The functional role of TRAT1 in NK cells was assessed using NK92-MI cells and primary human NK cells with siRNA-mediated TRAT1 knockdown (KD). TRAT1 expression kinetics and cytotoxicity were examined in both systems, whereas proliferation, effector molecule production, surface receptor expression, calcium flux, and mitogen-activated protein kinase (MAPK) signaling were further analyzed in NK92-MI cells. Results: TRAT1 was prioritized as an AIH-enriched immune-related candidate gene in this discovery cohort. In the ConA-induced acute immune-mediated hepatitis model, Conclusion: Through an exploratory transcriptomic discovery approach, this study suggests that TRAT1 acts as an

Indexed as

Adaptor Proteins, Signal TransducingHepatitis, AutoimmuneKiller Cells, NaturalTranscriptomeAnimalsCell LineDisease Models, AnimalFemaleGene Expression ProfilingHumansMaleMiceAdaptor Proteins, Signal TransducingAIH (autoimmune hepatitis)negative regulatorNK cellPLCγ/Ca2+ pathwayTRAT1

Identifiers

PMID42483202
PMCPMC13384938

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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.