Establishing disease biomarkers has been a long-sought after goal to improve Osteoarthritis (OA) diagnosis, prognosis, clinical and pharmaceutical interventions. Given the role of the synovium in contributing to OA, a meta-analysis was performed to determine significant synovial biomarkers in human OA tissue, compared to non-OA patients. Outcomes will direct future research on marker panels for OA disease modelling in vitro/in vivo, aiding clinical research into OA disease targets.

A PRISMA compliant search of databases was performed to identify potential biomarker studies analysing human, OA, synovial samples compared to non-OA/healthy participants. The Risk of Bias In Non-Randomised Studies of Interventions (ROBINS-I) tool assessed methodological quality, with outcome analysed by Grading of Recommendations Assessment, Development and Evaluation (GRADE). Meta-analyses were conducted for individual biomarkers using fixed or random effect models, as appropriate. Where three or more studies included a specific biomarker, Forest Plot comparisons were generated.

3230 studies were screened, resulting in 34 studies encompassing 25 potential biomarkers (1581 OA patients and 695 controls). Significant outcomes were identified for thirteen comparisons. Eleven favoured OA (IL-6, IL-10, IL-13, IP-10, IL-8, CCL4, CCL5, PIICP, TIMP1, Leptin and VEGF), two favoured non-OA controls (BMP-2 and HA). Notably, PIICP showed the largest effect (SMD 6.11 [3.50, 8.72], p <0.00001, I² 99%), and TIMP1 resulted critically important (0.95 [0.65, 1.25], p <0.00001, I² 82%). Leptin and CCL4 showed lower effects (SMD 0.81 [0.33, 1.28], p =0.0009; 0.59 [0.32, 0.86], p <0.0001, respectively).

Thirteen significant synovial biomarkers showed links with OA bioprocesses including collagen turnover, inflammatory mediators and ECM components. Limitations arose due to bias risk from incomplete or missing data, publication bias of inconclusive results, and confounding factors from patient criteria. These findings suggest markers of potential clinical viability for OA diagnosis and prognosis that could be correlated with specific disease stages.

The development of a representative human, in vitro OA model could deepen understanding of disease mechanisms. Our research aimed to reprogram healthy and OA-derived synoviocytes to induced pluripotent stem cells (iPSCs), thereby generating a novel OA in vitro model. Comparison between the two models shall enable research into underlying processes with potential for clinical translation.

A meta-analysis of OA synovial biomarkers was conducted, identifying up to thirteen relevant pathophysiology-related factors, including, amongst others, IL-13, IL-10, IL-6, PIICP, and HA, with PIICP demonstrating the largest effect (SMD 6.11 [3.50, 8.72], p <0.00001). With these findings in mind, human fibroblast-like synoviocytes (HFLS) from healthy and OA patients were transduced using Sendai viral reprogramming. Two clones for each of the resulting iPSC lines were expanded and preliminarily analysed in triplicate by ICC and RT-qPCR for pluripotency characteristics.

Healthy HFLS-derived and OA-HFLS-derived iPSC (UoS-B and UoS-C lines, respectively) were generated, indicating successful reprogramming. Morphological observations demonstrated typical iPSC appearance, and ICC confirmed presence of pluripotency markers Tra-1-60, Oct3/4 and Nanog. Expression of Oct3/4, Nanog and Sox2 were confirmed by RT-qPCR with OA-iPSC lines expressing higher levels of all markers compared to non-OA iPSC. In particular, expression of Oct3/4 and Sox2 was 3.5 fold and 4.6 fold higher (p <0.001) in OA-iPSCs (UoS-C) vs. non-OA iPSCs (UoS-B), respectively. Sendai virus clearance was confirmed by passage 4.

The successfully obtained OA and non-OA iPSCs can be differentiated towards mesenchymal lineages, including chondrocyte and bone progenitor cells, enabling phenotypic comparison and biomarker analysis as identified in meta-analysis. Cell bank dissemination of these cell lines could deepen further in vitro OA research, with potential impact for clinical translation via the identification of novel cellular and molecular targets.

Background

Microfracture (MF) and Autologous Chondrocyte Implantation (ACI) are used to repair symptomatic condylar cartilage defects (grade II-IV Outerbridge). Superiority of ACI to MF is still debated. The aim of the study was to conduct a systematic literature review, compare superiority of ACI versus MF in a meta-analysis and investigate the correlation between patient age and outcome of both treatments.