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ABSTRACT: Background
Age-related meniscus injury (MI) involves inflammaging, but biomarkers and mechanisms remain unclear.Methods
Ribonucleic acid (RNA) sequencing of meniscal tissues from 15 young (< 45 years) and 15 aging (≥ 45 years) MI patients (training dataset) identified differentially expressed inflammation-related genes (DE-IRGs). Biomarkers were screened via least absolute shrinkage and selection operator (LASSO) and support vector machines-recursive feature elimination (SVM-RFE) in the training dataset and validated through GSE191157 (testing dataset) and immunohistochemistry (IHC) staining in additional clinical specimens. Support vector machines (SVM) model and artificial neural network (ANN) model were constructed to predict the diagnostic performance of biomarkers for
SUBMITTER: Yang S
PROVIDER: S-EPMC12829109 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature