Evidence map›Paper›PMID 38778086›Full record

ArticleScientific reports2024

Characterization of PANoptosis-related genes in Crohn's disease by integrated bioinformatics, machine learning and experiments.

Yang Yang, Alphonse Houssou Hounye, Yiqian Chen, Zhuqing Liu, Guanzhong Shi, Ying Xiao

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Role of PANoptosis in intestinal diseases and its therapeutic implications.Journal of molecular medicine (Berlin, Germany) · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. PANoptosis: potential new targets and therapeutic prospects in digestive diseases.Apoptosis : an international journal on programmed cell death · 2025
    Review
  8. Manipulating the PANoptosome: baseless hype or a newfound hope for human immunity?Apoptosis : an international journal on programmed cell death · 2025
    Review
  9. How Cells Die in Psoriasis?International journal of molecular sciences · 2025
    Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. 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.

Yang YangDepartment of Gastroenterology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Alphonse Houssou HounyeSchool of Mathematics and Statistics, Central South University, Changsha, 410008, China.
Yiqian ChenDepartment of Gastroenterology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zhuqing LiuDepartment of Gastroenterology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Guanzhong ShiNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Ying XiaoDepartment of Gastroenterology, Xiangya Hospital, Central South University, Changsha, Hunan, China. xiaoying1113@csu.edu.cn.

Funding

National Natural Science Foundation of China No. 82300640Natural Science Foundation of Hunan Province No. S2024JJQNJJ2233
6 · The paper itself

Abstract

Currently, the biological understanding of Crohn's disease (CD) remains limited. PANoptosis is a revolutionary form of cell death reported to participate in numerous diseases, including CD. In our study, we aimed to uncover the roles of PANoptosis in CD. Differentially expressed PANoptosis-related genes (DE-PRGs) were identified by overlapping PANoptosis-related genes and differentially expressed genes between CD and normal samples in a combined microarray dataset. Three machine learning algorithms were adopted to detect hub DE-PRGs. To stratify the heterogeneity within CD patients, nonnegative matrix factorization clustering was conducted. In terms of immune landscape analysis, the "ssGSEA" method was applied. qRT-PCR was performed to examine the expression levels of the hub DE-PRGs in CD patients and colitis model mice. Ten hub DE-PRGs with satisfactory diagnostic performance were identified and validated: CD44, CIDEC, NDRG1, NUMA1, PEA15, RAG1, S100A8, S100A9, TIMP1 and XBP1. These genes displayed significant associations with certain immune cell types and CD-related genes. We also constructed gene‒microRNA, gene‒transcription factor and drug‒gene interaction networks. CD samples were classified into two PANoptosis patterns according to the expression levels of the hub DE-PRGs. Our results suggest that PANoptosis plays a nonnegligible role in CD by modulating the immune system and interacting with CD-related genes.

Indexed as

Computational BiologyCrohn DiseaseGene Regulatory NetworksMachine LearningAnimalsDisease Models, AnimalGene Expression ProfilingHumansMiceBioinformaticsCrohn’s diseaseMachine learningPANoptosisRegulatory networks

Identifiers

PMID38778086
PMCPMC11111690

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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.