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Updated: Dec 10, 2025
Standardized Histomorphometric Evaluation of Osteoarthritis in a Surgical Mouse Model
Published on: May 6, 2020
Gene Expression Profiling Analysis to Identify Key Genes and Underlying Mechanisms in Meniscus of Osteoarthritis
Bin Wang1, Jun-Long Zhong1, Xiang-He Xu1
1Department of Orthopaedics, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai519000, Guangdong,China.
Background:
Osteoarthritis (OA) is a degenerative joint disease that seriously affects the quality of life of elderly. Regrettably, the pathological mechanism for OA has not yet been fully elucidated.
Methods:
This study is committed to distinguishing key genes and the underlying mechanisms for OA. Raw data was acquired from the Gene Expression Omnibus (GEO) database. We identified differentially expressed genes (DEGs), hub genes, and key genes through bioinformatics analysis. Subsequently, we predicted the microRNAs (miRNAs) and circular RNAs (circRNAs) associated with these key genes that may play key roles in OA using web tools. We also constructed a protein- drug network and found potentially effective drugs by analyzing the relationships between the drugs and the key genes.
Results:
The analysis revealed 360 DEGs, 24 hub genes, and 15 key genes enriched in many categories potentially related to the pathological mechanism of OA. hsa-miR-29a-3p, hsa-miR-29b-3p, and hsa-miR-29c-3p were predicted to be important miRNAs for OA, while hsa_circ_0025119, hsa_circ_0025113, hsa_circ_0009897, and hsa_circ_0002447 were predicted to be the most important circRNAs. Further studies indicated that Ocriplasmin and Collagenase clostridium histolyticum may be effective drugs for the treatment of OA. Finally, CD34 and VWF were inferred to be the most meaningful biomarkers for OA.
Conclusion:
In conclusion, we determined the underlying key genes, miRNAs, and circRNAs for OA, predicted potentially effective drugs, and identified the most meaningful biomarkers for the disease. Our findings may provide insight into the pathological mechanism of OA and guide future research.
Insights
This study identifies key genes, microRNAs (miRNAs), and circular RNAs (circRNAs) involved in osteoarthritis (OA) pathogenesis. It also predicts potential drugs and biomarkers for OA, offering insights into disease mechanisms.
Area of Science:
- Genomics and Bioinformatics
- Molecular Biology
- Biomedical Research
Background:
- Osteoarthritis (OA) is a prevalent degenerative joint disease significantly impacting elderly quality of life.
- The precise pathological mechanisms underlying OA remain incompletely understood.
Purpose of the Study:
- To identify key genes and elucidate underlying molecular mechanisms in osteoarthritis (OA).
- To predict potential therapeutic drugs and diagnostic biomarkers for OA.
Main Methods:
- Bioinformatics analysis of Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs), hub genes, and key genes.
- Prediction of microRNAs (miRNAs) and circular RNAs (circRNAs) associated with key OA genes.
- Construction of a protein-drug network to identify potential OA treatments.
Main Results:
- Identified 360 DEGs, 24 hub genes, and 15 key genes implicated in OA pathology.
- Predicted hsa-miR-29a/b/c-3p as key miRNAs and specific circRNAs (e.g., hsa_circ_0025119) as crucial in OA.
- Suggested Ocriplasmin and Collagenase clostridium histolyticum as potential OA drugs, with CD34 and VWF as significant biomarkers.
Conclusions:
- This study determined key genes, miRNAs, and circRNAs involved in OA.
- Potential therapeutic drugs and meaningful biomarkers for OA were identified.
- Findings offer insights into OA's pathological mechanisms and guide future research.
