Distinct Degenerative Phenotype of Articular Cartilage from Knees with Meniscus Tear Compared to Knees with Osteoarthritis
Overview
Rheumatology
Authors
Affiliations
Objective: To compare the transcriptome of articular cartilage from knees with meniscus tears to knees with end-stage osteoarthritis (OA).
Design: Articular cartilage was collected from the non-weight bearing medial intercondylar notch of knees undergoing arthroscopic partial meniscectomy (APM; N = 10, 49.7 ± 10.8 years, 50% females) for isolated medial meniscus tears and knees undergoing total knee arthroplasty (TKA; N = 10, 66.0 ± 7.6 years, 70% females) due to end-stage OA. Ribonucleic acid (RNA) preparation was subjected to SurePrint G3 human 8 × 60K RNA microarrays to probe differentially expressed transcripts followed by computational exploration of underlying biological processes. Real-time polymerase chain reaction amplification was performed on selected transcripts to validate microarray data.
Results: We observed that 81 transcripts were significantly differentially expressed (45 elevated, 36 repressed) between APM and TKA samples (≥ 2 fold) at a false discovery rate of ≤ 0.05. Among these, CFD, CSN1S1, TSPAN11, CSF1R and CD14 were elevated in the TKA group, while CHI3L2, HILPDA, COL3A1, COL27A1 and FGF2 were highly expressed in APM group. A few long intergenic non-coding RNAs (lincRNAs), small nuclear RNAs (snoRNAs) and antisense RNAs were also differentially expressed between the two groups. Transcripts up-regulated in TKA cartilage were enriched for protein localization and activation, chemical stimulus, immune response, and toll-like receptor signaling pathway. Transcripts up-regulated in APM cartilage were enriched for mesenchymal cell apoptosis, epithelial morphogenesis, canonical glycolysis, extracellular matrix organization, cartilage development, and glucose catabolic process.
Conclusions: This study suggests that APM and TKA cartilage express distinct sets of OA transcripts. The gene profile in cartilage from TKA knees represents an end-stage OA whereas in APM knees it is clearly earlier in the degenerative process.
CRISPR-GEM: A Novel Machine Learning Model for CRISPR Genetic Target Discovery and Evaluation.
Graham J, Zhang Y, He L, Gonzalez-Fernandez T ACS Synth Biol. 2024; 13(10):3413-3429.
PMID: 39375864 PMC: 11494708. DOI: 10.1021/acssynbio.4c00473.
Rai M, Duan X, Yan M, Brophy R, Cai L FASEB J. 2024; 38(16):e23862.
PMID: 39162681 PMC: 11346584. DOI: 10.1096/fj.202302615RR.
CRISPR-GEM: A Novel Machine Learning Model for CRISPR Genetic Target Discovery and Evaluation.
Graham J, Zhang Y, He L, Gonzalez-Fernandez T bioRxiv. 2024; .
PMID: 39005295 PMC: 11244939. DOI: 10.1101/2024.07.01.601587.
Du X, Fan R, Kong J Front Med (Lausanne). 2024; 11:1395375.
PMID: 38841568 PMC: 11150680. DOI: 10.3389/fmed.2024.1395375.
Zhang Z, Dong L, Tao H, Dong Y, Xiang W, Tao F BMC Genomics. 2024; 25(1):293.
PMID: 38504181 PMC: 10949708. DOI: 10.1186/s12864-024-10181-w.