Abstract

Background: Rheumatoid arthritis (RA) is a kind of chronic autoimmune disease with several tissues damaged. Shuji tablet (SJT) is a prescription approved for treating lumbago and leg pain in the clinic. However, the efficacy of SJT against RA is still unknown. This study aims to evaluate the therapeutic effect of SJT on adjuvant-induced arthritis (AIA) rats and explore the mechanism via a network pharmacological approach.Methods: AIA rats were treated with SJT for 30 days at the dosages of 3.6, 1.8, and 0.9 g/kg, respectively, and the anti-RA effect was determined by measuring paw swelling, systemic symptoms score, arthritis index, and histopathological change. ELISA assay was used to evaluate the level of inflammatory cytokines in serum. The mechanism exploration and target prediction of SJT against RA were performed via a network pharmacological approach.Results: SJT showed excellent alleviation on AIA rats, with evidence of reducing paws swelling, decreasing systemic symptoms score, and arthritis index. Furthermore, SJT significantly reduced the serum cytokines of IL-6, IL-1β, TNF-α in AIA rats. Histopathological examination showed SJT remarkably reduced synovial hyperplasia, cartilage damage, and inflammatory infiltration in the secondary-side paws. According to network pharmacological analysis, 208 candidate compounds and 445 potential targets of SJT were identified, and 4465 RA therapy-related targets were searched out. Subsequently, 292 target genes of SJT were speculated to be associated with RA treatment, among which the top 5 “response values” targets were STAT3, AKT1, JUN, HSP90AA1, TNF. GO and KEGG enrichment analysis suggested that 45 signaling pathways were associating with SJT treating RA. The top 10 signaling pathways were PI3K-Akt, MAPK, AGE-RAGE pathway in diabetic complications, Ras, HIF-1, TNF, Chemokine, IL-17, FoxO, and Rap1.Conclusion: Our experimental study showed that SJT significantly alleviated rheumatoid arthritis of AIA rats. Network pharmacology showed that the key targets of SJT against RA probably were STAT3, AKT1, JUN, HSP90AA1, TNF, and the potential mechanism was associated with modulation on the signaling pathways of PI3K-Akt, MAPK, Ras, AGE-RAGE, HIF-1, TNF, chemokine, IL-17, FoxO, Rap 1. Our study strongly provides evidence for Shuji tablet in RA therapy and would enlarge its application in the clinic.

Highlights

  • Rheumatoid arthritis (RA) is a systemic disease with several tissues damaged, such as synovial membrane, cartilage, and bone

  • The results showed that complete Freund’s adjuvant (CFA) induced high levels of tumor necrosis factor (TNF)-α, IL-1β, and IL-6, while Shuji tablet (SJT) (3.6, 1.8, 0.9 g/kg) treatment remarkably reduced the high levels of these cytokines, suggesting that SJT significantly alleviated the inflammation response in adjuvant-induced arthritis (AIA) rats (Figure 5)

  • We evaluated the anti-RA effect of SJT on AIA rats, and the results showed that SJT could dose-dependently and timedependently ameliorate arthritis symptoms, whole-body multiple biological processes, -mechanisms, and -targets

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Summary

Introduction

Rheumatoid arthritis (RA) is a systemic disease with several tissues damaged, such as synovial membrane, cartilage, and bone. Scientists worldwide are seeking effective remedies to treat RA, including developing new drugs and employing traditional ethnologic therapies. Series of anti-RA drugs used in the clinic, such as methotrexate, inhibitors of Janus kinase (JAK), and tumor necrosis factor (TNF), would induce nonnegligible side-effects such as cytopenia, transaminase elevation, cardiovascular disease (CV), and gastrointestinal (GI) events (Walsem et al, 2015; Burmester et al, 2017; Chatzidionysiou et al, 2017). It is urgently demanded to develop other new drugs with more efficacy and fewer side effects in RA therapy. Rheumatoid arthritis (RA) is a kind of chronic autoimmune disease with several tissues damaged. This study aims to evaluate the therapeutic effect of SJT on adjuvant-induced arthritis (AIA) rats and explore the mechanism via a network pharmacological approach

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