Evidence map›Paper›PMID 40670571›Full record

ArticleScientific reports2025

Identification of CTSK as a TLR-related critical biomarker in liver cirrhosis via integrative bioinformatics and pathological characterization.

Jiaxin Wang, Ning Li, Xueyu Cang, Xuerong Liu, Ranyan Gao, Lingyi Xu, Fengchun Li, Xinyu Jiang, Hongliang Chen, Xinyu Geng and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Jiaxin Wang *Department of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Ning Li *Department of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Xueyu CangDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Xuerong LiuDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Ranyan GaoDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Lingyi XuDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Fengchun LiDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Xinyu JiangDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Hongliang ChenDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Xinyu GengDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Jihan QiDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Ram Prasad ChaulagainDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Junchong HeCollege of Health Caring Industry, Harbin Medical University (Daqing), Daqing, China.
Shizhu JinDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China. drshizhujin@hrbmu.edu.cn.

Funding

Natural Science Foundation of Heilongjiang Province LH2023H036
6 · The paper itself

Abstract

Liver cirrhosis (LC) is a common chronic disease worldwide with a poor prognosis, and its pathogenesis has not been fully elucidated. Toll-like receptors (TLRs) are crucial in LC progression. Here, we identified TLR-related genes, providing novel insights related to LC diagnosis, pathogenesis, and treatment. Data from public databases were analyzed using "limma" and WGCNA to screen candidate genes, and four hub genes (CXCL9, CXCL10, SPP1, CTSK) were selected through machine learning. These hub genes were validated through bioinformatics, quantitative real-time PCR (qRT-PCR), and immunohistochemistry (IHC). Both the hub genes and risk models demonstrated strong diagnostic potential for LC. The hub genes were enriched in various pathways and strongly correlated with immune infiltration. Subtypes characterized by different TLR signaling activity exhibited distinct immune responses. scRNA-seq analysis revealed significant differences in hub gene expression and TLR signaling activity across different cell types. ceRNA network analysis revealed interactions involving miRNAs, lncRNAs, and hub genes. Molecular docking supported the potential value of the hub genes as drug targets. In conclusion, TLR-related hub genes exhibit excellent diagnostic and therapeutic value in LC, and their dysregulation contributes to immune disorders and activation of pathogenic signaling pathways. CTSK may stimulate the TLR4-MyD88-NF-κB axis to facilitate LC progression.

Indexed as

Computational BiologyLiver CirrhosisToll-Like ReceptorsBiomarkersGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansMolecular Docking SimulationSignal TransductionBiomarkersToll-Like ReceptorsBiomarkersCTSKLiver cirrhosisToll-like receptors

Identifiers

PMID40670571
PMCPMC12267413

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.