ArticleFrontiers in medicine2024
Exploring the therapeutic potential of "Tianyu" medicine pair in rheumatoid arthritis: an integrated study combining LC-MS/MS, bioinformatics, network pharmacology, and experimental validation.
Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The "Tianyu" Formulation Alleviates Rheumatoid Arthritis by Modulating the NLRP3/Caspase-1/GSDMD-Mediated Pyroptosis Pathway.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Revealing the Pharmacological Mechanism of Tibetan Medicine Wugeng San in Treating Rheumatoid Arthritis Through an Integrated Strategy of Chemical Composition Analysis, Network Pharmacology, Machine Learning, and In Vivo Experiments.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Mitochondrial Hub Genes in Rheumatoid Arthritis Identified by Machine Learning and Mendelian Randomization with Experimental Validation.Journal of inflammation research · 2026Article
- Salidroside: A Potential Drug Candidate to Treat Rheumatoid Arthritis.Molecules (Basel, Switzerland) · 2025Review
- Current application, possibilities, and challenges of artificial intelligence in the management of rheumatoid arthritis, axial spondyloarthritis, and psoriatic arthritis.Therapeutic advances in musculoskeletal disease · 2025Review
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8 authors.
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Abstract
Background: Rheumatoid arthritis (RA) is a widespread chronic autoimmune disease that primarily causes joint inflammation and damage. In advanced stages, RA can result in joint deformities and loss of function, severely impacting patients' quality of life. The "Tianyu" pair (TYP) is a traditional Chinese medicine formulation developed from clinical experience and has shown some effectiveness in treating RA. However, its role in the complex biological mechanisms underlying RA remains unclear and warrants further investigation. Methods: We obtained gene sequencing data of synovial tissues from both RA patients and healthy individuals using two gene microarrays, GSE77298 and GSE55235, from the GEO database. Through an integrated approach involving bioinformatics, machine learning, and network pharmacology, we identified the core molecular targets of the "Tianyu" medicine pair (TYP) for RA treatment. Liquid chromatography-mass spectrometry was then employed to analyze the chemical components of TYP. To validate our findings, we conducted animal experiments with Wistar rats, comparing histopathological and key gene expression changes before and after TYP treatment. Results: Our data analysis suggests that the onset of RA may be associated with inflammation-related immune cells involved in both adaptive and innate immune responses. Potential key targets for TYP treatment in RA include AKR1B10, MMP13, FABP4, NCF1, SPP1, COL1A1, and RASGRP1. Among the components of TYP, Kaempferol, Quercetin, and Salidroside were identified as key, with MMP13 and NCF1 showing the strongest binding affinity to these compounds. Animal experiments confirmed the findings from bioinformatics and network pharmacology, validating the key targets and therapeutic effects of TYP in treating RA. Conclusion: Our study reveals that TYP has potential clinical value in the treatment of rheumatoid arthritis. This research enhances our understanding of RA's pathogenesis and provides insight into potential therapeutic mechanisms.
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