aceIdentification and Experimental Validation of PANoptosis Key Genes for Constructing a PANoptosis Risk Diagnostic Model in Intervertebral Disc Degeneration
Background Intervertebral 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 METHODS: Single-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…
Researchers used machine learning and LASSO regression on single-cell data to identify seven PANoptosis key genes and build a validated IDD risk diagnosis model, with experimental knockdown of ACSBG1 reducing degeneration in a rat model.
Evidence
- Peer-reviewedThe Journal of Gene Medicine2026-10-01
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Truvace Impact Record TRV-2026-1230, v1: “Identification and Experimental Validation of PANoptosis Key Genes for Constructing a PANoptosis Risk Diagnostic Model in Intervertebral Disc Degeneration.” Truvace, 2026-10-01. /record/TRV-2026-1230 (accessed at citation time). sha256 412dc5686048dfee…
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