Duration of symptoms prior to partial meniscectomy is not associated with the expression of osteoarthritis genes in the injured meniscus.
Robert H BrophyEric J SchmidtLei CaiMuhammad Farooq RaiPublished in: Journal of orthopaedic research : official publication of the Orthopaedic Research Society (2020)
While there is emerging data on how duration of symptoms prior to surgery relates to outcomes of patients undergoing arthroscopic partial meniscectomy, little is known about how duration of symptoms relates to the biology of the knee in these patients. The purpose of this study was to test the hypothesis that duration of symptoms prior to arthroscopic partial meniscectomy is associated with expression of osteoarthritis (OA)-related genes in the meniscus. We collected resected meniscus from patients (N = 76) undergoing clinically indicated arthroscopic partial meniscectomy from knees without advanced degenerative changes. RNA from 64 patients was analyzed for 28 candidate OA transcripts by real-time polymerase chain reaction (PCR). RNA was also probed for identification of novel genes by RNA microarray in 12 patients followed by validation of selected candidates by real-time PCR. The association of gene expression with duration of symptoms prior to surgery was tested. Additional screening was performed with known OA genetic risk alleles assembled from published literature and with gene transcripts differentially expressed between non-OA and OA cartilage and menisci. Our data revealed that duration of symptoms did not predict expression of OA genes in the meniscus, other than limited association with CXCL3, BMP2, and HLA-DQA1. Microarray identified new genes and pathways with unknown role(s) in meniscus injury and OA and validation of a subset of genes by real-time PCR showed expression pattern highly concordant with the microarray data. While duration of symptoms prior to arthroscopic partial meniscectomy does not significantly alter the expression of OA related genes, the association with novel genes and pathways deserves further investigation.
Keyphrases
- end stage renal disease
- knee osteoarthritis
- poor prognosis
- genome wide
- gene expression
- newly diagnosed
- ejection fraction
- chronic kidney disease
- patients undergoing
- bioinformatics analysis
- peritoneal dialysis
- prognostic factors
- sleep quality
- systematic review
- patient reported outcomes
- anterior cruciate ligament reconstruction
- physical activity
- binding protein
- type diabetes
- genome wide identification
- big data
- total knee arthroplasty
- copy number
- randomized controlled trial
- depressive symptoms
- bone marrow
- single cell