ArticleScientific reports2019
Multi-tissue network analysis for drug prioritization in knee osteoarthritis.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 22 citations in OpenAlex.
- A multiscale modeling approach to study the role of mechanics and inflammation in the pathophysiology of articular cartilage.Computers in biology and medicine · 2026Article
- Repopulated spinal cord microglia exhibit a unique transcriptome and contribute to pain resolution.Cell reports · 2024Article
- Multiple reaction monitoring assays for large-scale quantitation of proteins from 20 mouse organs and tissues.Communications biology · 2024Article
- Network-based modelling of mechano-inflammatory chondrocyte regulation in early osteoarthritis.Frontiers in bioengineering and biotechnology · 2023Article
- Article
- Identification of the hub genes in gastric cancer through weighted gene co-expression network analysis.PeerJ · 2021Article
- Co-expression analysis of pancreatic cancer proteome reveals biology and prognostic biomarkers.Cellular oncology (Dordrecht, Netherlands) · 2020Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Knee osteoarthritis (OA) is a joint disease that affects several tissues: cartilage, synovium, meniscus and subchondral bone. The pathophysiology of this complex disease is still not completely understood and existing pharmaceutical strategies are limited to pain relief treatments. Therefore, a computational method was developed considering the diverse mechanisms and the multi-tissue nature of OA in order to suggest pharmaceutical compounds. Specifically, weighted gene co-expression network analysis (WGCNA) was utilized to identify gene modules that were preserved across four joint tissues. The driver genes of these modules were selected as an input for a network-based drug discovery approach. WGCNA identified two preserved modules that described functions related to extracellular matrix physiology and immune system responses. Compounds that affected various anti-inflammatory pathways and drugs targeted at coagulation pathways were suggested. 9 out of the top 10 compounds had a proven association with OA and significantly outperformed randomized approaches not including WGCNA. The method presented herein is a viable strategy to identify overlapping molecular mechanisms in multi-tissue diseases such as OA and employ this information for drug discovery and compound prioritization.
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