RNA-sequencing from inflamed and normal synovial membrane after anterior cruciate ligament and/or meniscus injuries

Despite ample evidence demonstrating that anterior cruciate ligament (ACL) and meniscus tears are associated with the development of knee osteoarthritis (OA), the contributing factors remain unknown. Synovial inflammation has recently been recognized as a pivotal factor in the pathogenesis of OA. However, there is a lack of data on synovial profiles after ACL or meniscus injuries, which may contribute to posttraumatic OA (PTOA). We performed RNA-seq of 3 inflamed synovial biopsy samples vs 3 normal synovial biopsy samples following ACL and/or meniscus injuries. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and protein–protein interaction (PPI) analyses were performed to investigate mRNAs with significant differences between the inflamed and normal groups.Next, competing endogenous RNA (ceRNA) networks were constructed based on bioinformatics analyses and quantitative real-time polymerase chain reaction (RT–PCR) results. The association of the identified DEGs with the levels of infiltrating immune cells was explored using Pearson correlation analysis in R software. We aimed to provide greater insights into molecular mechanisms and biologic pathways in synovitis that could regulate post-trauma osteoarthritis progression. Overall design: Comparing lncRNAs, miRNA and mRNA expression profiling from inflamed and normal synovial tisssue following anterior cruciate ligament and/or meniscus injuries