Dataset Information

Unveiling the Mechanisms of Mechanical Loading-Induced Knee Osteoarthritis Through Transcriptomics

ABSTRACT: Aims：To establish a novel model of mechanical loading-induced knee osteoarthritis (KOA) and explore its regulatory mechanisms through transcriptomics. Methods：Knee joints of Sprague-Dawley (SD) rats were mechanically loaded with 13 N, 20 N and 27 N for 2 or 4 weeks to construct mechanically-induced KOA model. Immunohistochemistry (IHC), quantitative real-time polymerase chain reaction (qRT-PCR), Western blot, Safranin O/fast green staining, enzyme-linked immunosorbent assay (ELISA), micro-computed tomography (Micro-CT) and behavioral analysis were used to evaluate damage on the right knee joint. Transcriptomic analysis combined with validation experiments were performed to explore the regulatory mechanism of excessive mechanical loading on KOA development. Results：A vertical load of 27 N resulted in calf fractures, whereas a 13 N load did not cause remarkable pathological alteration in the knee joint. Notably, applying compression at a load of 20 N for 4 weeks (w) significantly promoted the levels of pro-inflammatory factors IL-6, IL-β and TNF-α in serum and joint fluids and markedly minimized the levels of anti-inflammatory factors IL-10 and TGF-β. Immunohistochemistry, qRT-PCR and Western blot analyses suggested that the 20 N load reduced the expression of anabolism markers (ACAN and COL2A1) and escalated the expression of catabolism markers (MMP13 and ADAMTS4). KEGG analysis and validation results showed that the PIEZ1 channel, Ca2+ signaling pathway, PI3K-AKT signaling pathway and NF-κB signaling pathway were significantly activated in the 20N-4 w group. Conclusion：Continuous loading with 20 N for 4 weeks can induce significant OA-like damage to the cartilage of the right knee in rats, which might be induced through the piezo1-Ca2+/PI3K-AKT/ NF-κB signaling pathway.

ORGANISM(S): Rattus norvegicus

PROVIDER: GSE276365 | GEO | 2024/09/05

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Rheumatoid arthritis (RA) fibroblast‐like synoviocytes (FLS) derived from hip and knee have distinctive DNA methylation and transcriptome patterns in interleukin (IL)‐6 signaling and Janus kinase (JAK)–signal transducers and activators of transcription (STAT) pathways. To determine the functional effects of these joint‐specific signatures, we evaluated how RA hip and knee FLS differ in their response to IL‐6.Hip or knee RA FLS were obtained after arthroplasty. Previously published datasets on epigenetic landscape of FLS were mined to identify joint‐specific IL‐6–related epigenomic differences. RNA sequencing was performed on five RA hip and five knee FLS treated with or without IL‐6. Differential gene expression was determined using edgeR software. STAT3 phosphorylation was measured using bead assays. Sensitivity to tofacitinib was evaluated by measuring CCL2 inhibition using quantitative polymerase chain reaction. Assay for Transposase‐Accessible Chromatin sequencing and histone chromatin immunoprecipitation sequencing datasets from RA FLS were analyzed to identify epigenomic differences between hip and knee. Differential chromatin accessibility was associated with IL‐6, IL‐6R, and JAK1 genes. H3K27ac was also differentially marked at other JAK‐STAT–related genes, including STAT3‐STAT5A region. Principal component analysis of RNA sequencing data confirmed segregation between RA hip and knee FLS under basal conditions, that persisted following IL‐6 treatment. STAT3 phosphorylation after IL‐6 was significantly higher in knee than hip FLS and was highly correlated with JAK1 protein levels. Knee FLS were less sensitive to the JAK inhibitor tofacitinib than hip FLS. RA hip and knee FLS have distinct transcriptomes, epigenetic marks, and STAT3 activation patterns in the IL‐6 pathway. These joint‐specific differences might contribute to a differential clinical response in individual joints to targeted therapies such as JAK inhibitors.

Project description:OBJECTIVE: To observe the clinical efficacy and safety of Yiqi Yangxue formula (YQYXF) on knee osteoarthritis (KOA), and to explore the underlying therapeutic mechanism of YQYXF through endogenous differential metabolites and their related metabolic pathways.METHODS: A total of 61 KOA patients were recruited and divided into the treatment group (YQYXF, 30 cases) and the control group (celecoxib, Cxb, 31 cases). Effects of these two drugs on joint pain, swelling, erythrocyte sedimentation rate (ESR) and c-reactive protein (CRP) were observed, and their safety and adverse reactions were investigated. In animal experiments, 63 SD rats were randomly divided into normal control (NC) group, sham operation (sham) group, model (KOA) group, Cxb group, as well as low-dose (YL), medium-dose (YM), and high-dose groups of YQYXF (YH). The KOA rat model was established using a modified Hulth method. Ultra-high-performance liquid chromatography/Q Exactive HF-X Hybrid Quadrupole-Orbitrap Mass (UHPLC-QE-MS)-based metabolomics technology was used to analyze the changes of metabolites in plasma samples of rats. Comprehensive (VIP) > 1 and t-test p < 0.05 conditions were used to screen the disease biomarkers of KOA, and the underlying mechanisms of YQYXF were explored through metabolic pathway enrichment analysis. The related markers of YQYXF were further verified by ELISA (enzyme-linked immunosorbent assay).RESULTS: YQYXF can improve joint pain, swelling, range of motion, joint function, Michel Lequesen index of severity for osteoarthritis (ISOA) score, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score, ESR, and CRP. No apparent adverse reactions were reported. In addition, YQYXF can improve cartilage damage in KOA rats, reverse the abnormal changes of 16 different metabolites, and exert an anti-KOA effect mainly through five metabolic pathways. The levels of reactive oxygen species (ROS) and glutathione (GSH) were significantly decreased after the treatment of YQYXF.CONCLUSION: YQYXF can significantly improve the clinical symptoms of KOA patients without obvious adverse reactions. It mainly improved KOA through modulating lipid metabolism-related biomarkers, reducing lipid peroxidation and oxidative stress.

Dataset Information

Unveiling the Mechanisms of Mechanical Loading-Induced Knee Osteoarthritis Through Transcriptomics

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure