The development of a representative human, 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], 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 ( 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
A pragmatic, multicentre, parallel-group, randomised controlled trial to determine whether the intervention is superior to comparator 20 NHS HospitalsAbstract
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Aims. Circular RNA (circRNA) is involved in the regulation of articular cartilage degeneration induced by inflammatory factors or oxidative stress. In a previous study, we found that the expression of circStrn3 was significantly reduced in chondrocytes of
Aims. This study aimed to investigate the role and mechanism of meniscal cell lysate (MCL) in fibroblast-like synoviocytes (FLSs) and
Aims. This study aimed to explore the biological and clinical importance of dysregulated key genes in
Aims.
Aims. cAMP response element binding protein (CREB1) is involved in the progression of
Aims.
Aims. Pellino1 (Peli1) has been reported to regulate various inflammatory diseases. This study aims to explore the role of Peli1 in the occurrence and development of
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Aims. Extracellular matrix (ECM) is a critical determinant of tissue mechanobiology, yet remains poorly characterized in joint tissues beyond cartilage in
Aims. To evaluate inducing
Aims. Machine learning (ML), a branch of artificial intelligence that uses algorithms to learn from data and make predictions, offers a pathway towards more personalized and tailored surgical treatments. This approach is particularly relevant to prevalent joint diseases such as
Aims. Circular RNA (circRNA) S-phase cyclin A-associated protein in the endoplasmic reticulum (ER) (circSCAPER, ID: hsa_circ_0104595) has been found to be highly expressed in
Aims. Exosomes (exo) are involved in the progression of
Aims. Deciphering the genetic relationships between major depressive disorder (MDD) and