Evidence map›Paper›PMID 42683003›Full record

ReviewFrontiers in cell and developmental biology2026

TXNL1 in redox and protein quality control: mechanisms and disease relevance.

Shanshan Wu, Deyuan Li, Dongqiong Xiao

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Shanshan WuDepartment of Emergency/Key Laboratory of Birth Defects and Related Diseases of Women and Children (Ministry of Education), West China Second University Hospital, Sichuan University, Chengdu, China.
Deyuan LiDepartment of Emergency/Key Laboratory of Birth Defects and Related Diseases of Women and Children (Ministry of Education), West China Second University Hospital, Sichuan University, Chengdu, China.
Dongqiong XiaoDepartment of Emergency/Key Laboratory of Birth Defects and Related Diseases of Women and Children (Ministry of Education), West China Second University Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

TXNL1 (thioredoxin-like protein 1), a member of the thioredoxin superfamily, integrates thioredoxin oxidoreductase activity with molecular chaperone function. Through its N-terminal TRX domain and C-terminal PITH domain, TXNL1 not only helps maintain cellular redox homeostasis but also prevents toxic aggregation of oxidatively damaged proteins. Consequently, TXNL1 acts as a critical buffer in the cellular defense against oxidative stress and in protein quality control. TXNL1 is widely expressed across diverse tissues, and its dysregulation is closely associated with multiple pathological conditions, including chemotherapy resistance in gastric cancer, poor prognosis in colorectal cancer, arsenic-induced malignant transformation of bronchial epithelial cells, and ischemic as well as traumatic injuries of the central nervous system. TXNL1 undergoes degradation through both canonical ubiquitin-dependent and ubiquitin-independent mechanisms. This review summarizes the discovery, molecular architecture, expression patterns, physiological functions, and disease-related research progress of TXNL1, and discusses its potential clinical applications as a biomarker and therapeutic target.

Indexed as

chaperone functionoxidative stressprotein degradationredoxTXNL1 (thioredoxin-like protein 1)

Identifiers

PMID42683003
PMCPMC13531033

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.