Evidence map›Paper›PMID 38343546›Full record

ArticleFrontiers in immunology2024

Integrated analysis reveals crosstalk between pyroptosis and immune regulation in renal fibrosis.

Fengxia Bai, Longchao Han, Jifeng Yang, Yuxiu Liu, Xiangmeng Li, Yaqin Wang, Ruijian Jiang, Zhaomu Zeng, Yan Gao, Haisong Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

9 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. T-Cell Remodeling in Renal Fibrosis: From Acute Injury to Chronic Kidney Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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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

10 authors at 4 institutions in 1 country.

Fengxia Bai *School of Clinical Medicine, Hebei University, Affiliated Hospital of Hebei University, Baoding, China.
Longchao Han *Department of Gastrointestinal Oncology, Affiliated Xingtai People's Hospital of Hebei Medical University, Xingtai, China.
Jifeng Yang *School of Clinical Medicine, Hebei University, Affiliated Hospital of Hebei University, Baoding, China.
Yuxiu LiuSchool of Clinical Medicine, Hebei University, Affiliated Hospital of Hebei University, Baoding, China.
Xiangmeng LiSchool of Clinical Medicine, Hebei University, Affiliated Hospital of Hebei University, Baoding, China.
Yaqin WangDepartment of Critical Care Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Ruijian JiangSchool of Clinical Medicine, Hebei University, Affiliated Hospital of Hebei University, Baoding, China.
Zhaomu ZengDepartment of Neurosurgery, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Yan GaoSchool of Clinical Medicine, Hebei University, Affiliated Hospital of Hebei University, Baoding, China.
Haisong ZhangSchool of Clinical Medicine, Hebei University, Affiliated Hospital of Hebei University, Baoding, China.
Affiliated Hospital of Hebei University · CNFirst Affiliated Hospital of Jiangxi Medical College · CNHebei Medical University · CNXingtai People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The pathogenesis of renal fibrosis (RF) involves intricate interactions between profibrotic processes and immune responses. This study aimed to explore the potential involvement of the pyroptosis signaling pathway in immune microenvironment regulation within the context of RF. Through comprehensive bioinformatics analysis and experimental validation, we investigated the influence of pyroptosis on the immune landscape in RF. Methods: We obtained RNA-seq datasets from Gene Expression Omnibus (GEO) databases and identified Pyroptosis-Associated Regulators (PARs) through literature reviews. Systematic evaluation of alterations in 27 PARs was performed in RF and normal kidney samples, followed by relevant functional analyses. Unsupervised cluster analysis revealed distinct pyroptosis modification patterns. Using single-sample gene set enrichment analysis (ssGSEA), we examined the correlation between pyroptosis and immune infiltration. Hub regulators were identified Results: Our comprehensive analysis revealed altered expression of 19 PARs in RF samples compared to normal samples. Five hub regulators, namely PYCARD, CASP1, AIM2, NOD2, and CASP9, exhibited potential as biomarkers for RF. Based on these regulators, a classifier capable of distinguishing normal samples from RF samples was developed. Furthermore, we identified correlations between immune features and PARs expression, with PYCARD positively associated with regulatory T cells abundance in fibrotic tissues. Unsupervised clustering of RF samples yielded two distinct subtypes (Subtype A and Subtype B), with Subtype B characterized by active immune responses against RF. Subsequent WGCNA analysis identified PYCARD, CASP1, and NOD2 as hub PARs in the pyroptosis modification patterns. Single-cell level validation confirmed PYCARD expression in myofibroblasts, implicating its significance in the stress response of myofibroblasts to injury. Conclusions: Our findings suggest that pyroptosis plays a pivotal role in orchestrating the immune microenvironment of RF. This study provides valuable insights into the pathogenesis of RF and highlights potential targets for future therapeutic interventions.

Indexed as

Computational BiologyPyroptosisAnimalsCaspase 1Cluster AnalysisCross ReactionsMiceCaspase 1immune regulationmyofibroblastsPYCARDpyroptosisregulatory T cells (Tregs)renal fibrosis

Identifiers

PMID38343546
PMCPMC10853448
OpenAlexW4391261390

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.