Network Pharmacology and Experimental Verifications to Discover Scutellaria baicalensis Georgi's Effects on Joint Inflammation, Destruction, and Pain in Osteoarthritis.
Hee-Geun JoChae-Yun BaekHo Sueb SongDong-Hun LeePublished in: International journal of molecular sciences (2024)
Osteoarthritis is the most common type of arthritis, characterized by joint pain and a decline in physiological function. Scutellaria baicalensis Georgi (SB) is potentially effective against osteoarthritis because of its wide range of anti-inflammatory pharmacological activities. This study aimed to identify the mode of action of SB against osteoarthritis using network pharmacology prediction and experimental verification. Networks were constructed to key compounds, hub targets, and pathways essential for SB's effectiveness against osteoarthritis. Additionally, in vivo and in vitro tests were performed, including investigations on weight bearing in hind limbs, the acetic acid-induced writhing response, lipopolysaccharide-stimulated RAW264.7 cells, and serum cytokine responses. We identified 15 active compounds and 14 hub targets, supporting the anti-osteoarthritis effects of SB. The Kyoto Encyclopedia of Genes and Genomes pathway analysis indicated that fluid shear stress, atherosclerosis, phosphatidylinositol 3-kinase-Akt signaling, and cellular senescence pathways were important. SB showed substantial anti-inflammatory, analgesic, and joint tissue-protective effects against osteoarthritis. Our study shows that SB has the potential value to be further investigated as a candidate material for the treatment of osteoarthritis in the future.
Keyphrases
- rheumatoid arthritis
- knee osteoarthritis
- anti inflammatory
- chronic pain
- neuropathic pain
- induced apoptosis
- signaling pathway
- pain management
- cell proliferation
- type diabetes
- dna damage
- dna methylation
- weight loss
- inflammatory response
- endothelial cells
- toll like receptor
- risk assessment
- physical activity
- high resolution
- genome wide
- gene expression
- immune response
- network analysis
- combination therapy
- endoplasmic reticulum stress
- mass spectrometry