Evidence map›Paper›PMID 42803180›Full record

ArticleThe journal of gene medicine2026

Identification and Experimental Validation of PANoptosis Key Genes for Constructing a PANoptosis Risk Diagnostic Model in Intervertebral Disc Degeneration.

Kui Deng, Xia Lan, WenZhao Chen, LiuXue Du, JiangWei Chen

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Article in The journal of gene medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kui DengDepartment of Orthopedic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Xia LanDepartment of Orthopedic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
WenZhao ChenDepartment of Orthopedic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
LiuXue DuDepartment of Orthopedic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
JiangWei ChenDepartment of Orthopedic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.ORCID https://orcid.org/0009-0005-3060-6163

Funding

National Natural Science Foundation of China 82260441Natural Science Funds of Jiangxi Province 20202BAB206020
6 · The paper itself

Abstract

backgroundIntervertebral disc degeneration (IDD) represents a significant health concern globally. This study aimed to identify the PANoptosis key genes (PKGs) associated with IDD and construct a risk diagnosis model

methodsSingle-cell sequencing, machine learning algorithms, and LASSO regression were employed to identify PKGs and develop a risk model. The expression of identified PKGs was validated in human IDD clinical tissues using qRT-PCR, Western blot, and immunohistochemistry. The therapeutic effect of ACSBG1 knockdown was further evaluated in a rat IDD model by histological analysis.

resultsThe seven most representative PKGs of IDD (ACSBG1, FXYD1, APCS, CEACAM1, ERAP2, ABL1, and FZD3) were identified. Utilizing these seven PKGs, an IDD PANoptosis risk diagnosis model was constructed and validated. Immune infiltration analysis revealed a significant association between the PANoptosis risk of IDD and immune cells, particularly neutrophils. Clinical validation confirmed that ACSBG1, FXYD1, APCS, and CEACAM1 were upregulated, while ERAP2, ABL1, and FZD3 were downregulated in nucleus pulposus tissues of IDD patients. In a rat model, ACSBG1 knockdown markedly attenuated disc degeneration, preserving disc structure and increasing proteoglycan content.

conclusionThis study established an IDD PANoptosis risk diagnosis model and demonstrated that targeting ACSBG1 exerted therapeutic effects in vivo, providing new insights into the diagnosis and treatment of IDD.

Indexed as

Intervertebral Disc DegenerationAdultAnimalsBiomarkersDisease Models, AnimalFemaleGene Expression ProfilingHumansMaleMiddle AgedRatsRats, Sprague-DawleyBiomarkersexperimental validationintervertebral disc degenerationmachine learning algorithmPANoptosisrisk diagnosis model

Identifiers

PMID42803180
PMCPMC13617583

What Socratic holds

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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 Socratic graph.