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

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE213070 | GEO | 2022/11/18

REPOSITORIES: GEO

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Project description:Objective Animal models of post-traumatic osteoarthritis (PTOA) recapitulate the pathological changes observed in human PTOA. Here we aimed to compare the cartilage transcriptome responses of a non-surgical, mechanically induced rupture of the anterior cruciate ligament (ACL) model and the surgical destabilisation of the medial meniscus (DMM) model. Methods Skeletally mature male C57Bl6 mice were subjected to either the non-surgical, mechanical ACL rupture or surgical DMM models and transcriptome profiling performed on micro-dissected cartilage at day 7 and 42 post-procedure, respectively; in general, naïve animals served as controls. MicroRNA profiling was also performed on the ACL rupture model. Expression levels of a miRNA of interest, miR-199-5p, were inhibited in primary human articular chondrocytes (HAC) with RNA-seq and 3’UTR assays used to identify and valid potential target genes. Results The number of differentially expressed genes between the two models were comparable and highly correlative (Spearman R =0.8, P<2.2E-16). Gene ontology enrichment analysis identified similarly enriched pathways, containing anabolic terms including ‘extracellular matrix organisation’ enriched for the upregulated genes. Within the ACL rupture miRNA transcriptome, miR-199-5p family members were amongst the most abundantly, and differentially expressed, which was replicated in the DMM cartilage by qRT-PCR. Inhibition of miR-199-5p in HAC led to a comparable transcriptome response to that observed in both human OA damaged vs intact cartilage and murine DMM cartilage datasets. Several genes, including GIT1, NCEH1, SOS2 and ECE1 were all experimentally verified as targets. Conclusion For the first time, we have characterised both the mRNA and miRNA articular cartilage signature in the ACL rupture model and demonstrated highly correlative responses with the DMM PTOA model. These data support the use of the ACL rupture model as a non-invasive alternative to DMM.

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

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