Evidence mapPaperPMID 41878449Full record

ArticleFrontiers in immunology2026

Identification of PANoptosis hub genes driving immune activation and tubulointerstitial injury in diabetic kidney disease by integrative bioinformatics and machine learning.

Yintong Chen, Feifei Yuan, Shengyuan Li, Lerong Liu, Xuankun Peng, Xiangrong Zeng, Siyong Chen, Nianping Liu, Tongfeng Zhao

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Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

9 authors.

Yintong ChenDepartment of Geriatric Endocrinology, Guangdong Geriatrics Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Feifei YuanDivision of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Shengyuan LiDepartment of Geriatric Endocrinology, Guangdong Geriatrics Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Lerong LiuDepartment of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xuankun PengDepartment of Geriatric Endocrinology, Guangdong Geriatrics Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Xiangrong ZengDepartment of Geriatric Endocrinology, Guangdong Geriatrics Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Siyong ChenDepartment of Geriatric Endocrinology, Guangdong Geriatrics Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Nianping LiuThe First Affiliated Hospital of University of Science and Technology of China (USTC), School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Tongfeng ZhaoDepartment of Geriatric Endocrinology, Guangdong Geriatrics Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetic kidney disease (DKD) is characterized by chronic inflammation and immune dysregulation. Multiple programmed cell death pathways contribute to tubulointerstitial injury, but their perturbations, crosstalk, and integrative impact in DKD remain unclear. PANoptosis-a coordinated program integrating pyroptosis, apoptosis, and necroptosis-has emerged as a key mechanism in inflammatory disorders, yet its role in DKD is not defined. Methods: We integrated multiple renal tubulointerstitial transcriptomic datasets from DKD and control cohorts to identify differentially expressed genes, followed by functional enrichment analysis. PANoptosis-related gene sets were curated from MSigDB, and pathway crosstalk was evaluated using independent single-cell RNA-seq datasets. Hub genes were prioritized by combining weighted gene co-expression network analysis (WGCNA) with five machine-learning algorithms, and a PANoptosis-related risk score (PRS) was constructed and correlated with clinical parameters and immune infiltration. miRNA-mRNA and transcription factor-hub gene regulatory networks were inferred using ENCORI and hTFtarget, respectively. Druggability of hub genes was assessed using DrugnomeAI, and candidate compounds were retrieved from DGIdb. Key findings were validated in diabetic mouse models. Results: Apoptosis, pyroptosis, necroptosis and the integrated PANoptosis program were markedly activated in DKD. At the single-cell level, these pathways were frequently co-activated within tubular and interstitial cell types, with extensive molecular overlap. Six PANoptosis-related hub genes ( Conclusion: This study delineates extensive perturbations and crosstalk among apoptosis, pyroptosis and necroptosis in DKD, positioning PANoptosis as a unifying driver of tubulointerstitial injury. The six PANoptosis hub genes and their derived PRS show strong diagnostic potential, while integrated regulatory and druggability analyses nominate

Indexed as

Computational BiologyDiabetic NephropathiesMachine LearningNecroptosisAnimalsApoptosisGene Expression ProfilingGene Regulatory NetworksHumansMicePyroptosisTranscriptomediabetic kidney diseaseDrugnomeAIimmune infiltrationmachine learningPANoptosistubules and tubulointerstitium

Identifiers

PMID41878449
PMCPMC13006297

What Socratic holds

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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 Socratic graph.