Evidence map›Paper›PMID 41286494›Full record

ArticleScientific reports2025

Senescence-related gene signatures in Crohn's disease: integrating bulk and single-cell RNA sequencing analysis.

Xianglin Luo, Mingri Zhao, Changyong Cui, Mingming Gui, Zhi Yang, Miao Liu

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 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. 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

6 authors.

Xianglin Luo *Center for Molecular Oncology and Immunology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Mingri Zhao *Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Changyong CuiComprehensive Technology Service Center of Longkou Customs, Longkou, 265700, Shandong, China.
Mingming GuiKey Laboratory of Jianchangbang Traditional Chinese Medicine Research of Jiangxi Education Institutes, Fuzhou Medical University, Fuzhou, 344000, Jiangxi, China.
Zhi YangCenter for Molecular Oncology and Immunology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. suryangz@csu.edu.cn.
Miao LiuCenter for Molecular Oncology and Immunology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. lm148462@163.com.

Funding

This work was supported by the Fundamental Research Funds for the Central Universities of Central South University CX20240300
6 · The paper itself

Abstract

Crohn's disease (CD) is a chronic, relapsing inflammatory bowel disease (IBD). Recent studies have revealed that intestinal tissues of CD patients exhibit progeroid-like features, suggesting that cellular senescence may contribute to CD progression. However, the specific roles of senescence-related genes in CD and their impact on prognosis remain unclear. This study identified CD-associated senescence genes through differential expression analysis. Machine learning algorithms were employed to further screen for hub genes. Gene Set Enrichment Analysis (GSEA) was performed to explore the potential functions of these hub genes, and their association with immune cell infiltration was assessed using the CIBERSORT algorithm. Independent external datasets were utilized to validate the diagnostic model's robustness, with additional validation of hub gene expression through mouse models and clinical samples. Furthermore, single-cell RNA sequencing (scRNA-seq) data analysis was conducted to examine senescence heterogeneity at the single-cell level in CD patients. This study identified five senescence-associated hub genes (STAT1, S100A11, FILIP1L, F3, and HPS5) significantly correlated with CD. GSEA revealed that these genes were closely associated with tissue inflammatory responses, nutrient absorption, and energy metabolism. Immune infiltration analysis further demonstrated a strong correlation between the expression levels of these five genes and the degree of immune cell infiltration. scRNA-seq analysis indicated significant differences in senescence levels between affected and unaffected areas in CD patients. Senescence-related genes are closely associated with disease progression in CD patients.

Indexed as

Cellular SenescenceCrohn DiseaseTranscriptomeAnimalsFemaleGene Expression ProfilingHumansMaleMiceSequence Analysis, RNASingle-Cell AnalysisCrohn’s diseaseImmune infiltrationMachine learningSenescenceSingle-cell transcriptomics

Identifiers

PMID41286494
PMCPMC12749775

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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.