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Machine Learning Identifies Key Cells and Therapeutic Targets in Intervertebral Disc Degeneration: SASP-Driven Matrix Catabolism, Inflammation Amplification, and Metabolic Collapse

Crossref DOI link: https://doi.org/10.1007/s10753-025-02429-8

Published Online: 2026-01-07

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kang, Yi

Li, Manglai

Hu, Baoyang

Lv, Yigang

Du, Jiawei

Zhang, Di

Zhou, Hengxing

Feng, Shiqing
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (81972073)

Tianjin Key Medical Discipline (Specialty) Construct Project (TJYXZDXK-027A)

Academician Expert International Innovation Summit Forum (22JRRCRC00010)
License Information

Text and Data Mining valid from 2026-01-07

Accepted Manuscript valid from 2026-01-07
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Article History

Received: 13 July 2025

Revised: 25 July 2025

Accepted: 28 July 2025

First Online: 7 January 2026

Declarations

:

: All authors declare no conflict of interest. This study did not involve human subjects. All animal procedures were approved by the Animal Ethics Committee of Tianjin Medical University General Hospital (Approval No. IRB2024-DW-71) and strictly adhered to: ARRIVE guidelines (Animal Research: Reporting of In Vivo Experiments), Institutional animal welfare standards.

: Not applicable.

: The authors declare no competing interests.

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