Xinfeng capsule for the treatment of rheumatoid arthritis patients with decreased pulmonary function--a randomized controlled clinical trial

The interplay between rheumatic diseases and pulmonary health

Patients with rheumatic diseases (RDs) are prone to a number of comorbidities, particularly those affecting the respiratory system due to inflammatory and autoimmune mechanisms. Rheumatoid arthritis (RA), systemic sclerosis (SSc), and inflammatory idiopathic myopathies (IIMs) often present with progressive interstitial lung disease (ILD). The prevalence of ILD varies among patients with RDs, with 11% in RA, 47% in SSc, and 41% in IIMs. Some diagnostic markers, including KL-6, cytokines TNF-α and IL-6, and autoantibodies (anti-CCP), play a crucial role in assessing and predicting the course of pulmonary involvement in RDs. Lung fibrosis is a progressive disorder in SSc and RA, limiting the effiency of therapeutic interventions. Re-evaluating treatment approaches with disease-modifying anti-rheumatic drugs (DMARDs) is crucial for understanding their impact on the risk of lung affections. Despite initial concerns surrounding methotrexate, recent evidence points to its benefits in RA-associated interstitial lung disease (RA-ILD). Recognizing the intricate relationship between autoimmune RDs and lung affections is crucial for formulating effective treatment strategies. Emphasis is placed on collaborative efforts of rheumatologists and pulmonologists for early diagnosis, comprehensive care, and optimal patient outcomes in RA-ILD.

Xinfeng capsule inhibits inflammation and oxidative stress in rheumatoid arthritis by up-regulating LINC00638 and activating Nrf2/HO-1 pathway

ETHNOPHARMACOLOGICAL RELEVANCE

Xinfeng capsule is a traditional Chinese medicine compound, which has been clinically used for more than 20 years in the treatment of rheumatoid arthritis (RA), ankylosing spondylitis, osteoarthritis and its extracurricular lesions. However, the molecular role of XFC in the treatment of RA remains unclear.

OBJECTIVE

This study aims to explore the efficacy and potential mechanism of XFC through retrospective data mining analysis, animal experiments and cell experiments.

METHODS

The effect of XFC on clinical laboratory indexes of RA patients was observed using data mining techniques combined with association rule analysis and a random walk model. Afterwards, a rat model of adjuvant arthritis (AA) was established with Freund's complete adjuvant, followed by the observation of pathological changes in synovial tissues and the ultrastructure of synoviocytes. A RA cell model was constructed by inducing fibroblast-like synoviocytes (FLSs) with tumor necrosis factor-alpha (TNF-α) to assess the effects of XFC-containing serum on inflammation and oxidative stress through long non-coding RNA LINC00638.

RESULTS

In retrospective data mining, XFC effectively reduced immune inflammation and increase the level of antioxidant enzymes in RA patients. Subsequently, animal experiments showed that XFC significantly repressed immune inflammation, oxidative stress, synovial hyperplasia, and cartilage destruction, while improving the ultrastructure of synoviocytes in AA rats. XFC-containing serum diminished the proliferation of TNF-α-induced RA-FLSs, increased LINC00638 expression (P＜0.01), decreased interleukin-6 (IL-6), IL-17, reactive oxygen species (ROS) and reactive nitrogen species (RNS) levels (P＜0.01), and increased the protein expression of nuclear factor erythrocyte 2-related factor 2 (Nrf2), heme oxygenase 1 (HO-1), and superoxide dismutase 2 (SOD2) (P＜0.01). Furthermore, rescue experiments manifested that XFC-containing serum reversed the effects of silencing LINC00638 on inflammation and oxidative stress in RA-FLSs.

CONCLUSION

XFC inhibits inflammation and oxidative stress in RA by up-regulating LINC00638 and activating Nrf2/HO-1 pathway.

Traditional Chinese Medicine Is Associated with Reduced Risk of Readmission in Rheumatoid Arthritis Patients with Anemia: A Retrospective Cohort Study

Objective

This study aimed to analyze the effect of traditional Chinese medicine (TCM) on the risk of readmission for rheumatoid arthritis (RA) patients with anemia.

Methods

In this study, 893 hospitalized RA patients were followed up by telephone. A retrospective cohort study was conducted using propensity score matching (PSM). The Cox proportional hazards model was used to assess the influence of various factors on the risk of readmission for RA patients with anemia. The Kaplan–Meier survival curve was utilized to analyze the effect of TCM intervention time on readmission.

Results

The incidence of anemia was 58.08% (471/811) in RA patients. After 1 : 1 PSM, 328 RA patients with anemia and 328 RA patients without anemia were finally included in our study. The readmission rate of anemia patients was higher than that of patients without anemia (P < 0.01). The readmission rate of RA patients with anemia was obviously lower in the TCM group than in the non-TCM group (P < 0.01). The Cox proportional hazards model showed TCM as an independent protective factor as it decreased the risk of readmission by 50% (HR = 0.50, 95% CI = 0.27–0.94, P=0.03) in RA patients with anemia. In addition, the risk of readmission was dramatically diminished in the high-exposure subgroup (TCM > 12 months) compared with the low-exposure subgroup (TCM ≤ 12 months) (log-rank P=0.016).

Conclusion

TCM, as a protective factor, is associated with a reduced risk of readmission in RA patients with anemia.

Exploring the Mechanism of Action of Xinfeng Capsule in Treating Hypercoagulable State of Rheumatoid Arthritis Based on Data Mining and Network Pharmacology

Objective: To explore the effect of Xinfeng Capsule (XFC) on hypercoagulable state in patients with rheumatoid arthritis (RA) using data mining and network pharmacology. Methods: The data were collected of 524 inpatients with RA who were treated with XFC in the Department of Rheumatology and Immunology of the First Affiliated Hospital of Anhui University of traditional Chinese medicine (TCM) before October 2021. The changes of C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), rheumatoid factor (RF), complement component 3 (C3), C4, platelet (PLT), fibrinogen (FBG), thrombin time (TT), prothrombin time (PT), and activated partial thromboplastin time (APTT) were observed before and after the treatment. By implementing the Apriori module, the association rules between XFC and immune-inflammation indexes and coagulation indexes were analyzed. XFC and disease targets were obtained through traditional chinese medicine systems pharmacology database and analysis platform, Genecards, OMIM, and other databases. The cross targets and core targets were screened, and the network diagram of TCM—active ingredients—potential targets was constructed using Cytoscape3.7.2 software. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed through Database for Annotation, Visualization and Integrated Discovery (DAVID) database. AutoDock Vina software was used for molecular docking between active ingredients and core targets. The docking results were visualized using PyMOL2.3.0 software. Results: (1) Data mining results showed that the inflammation and coagulation indexes of RA patients were significantly improved after XFC treatment, and there was a strong correlation between XFC and the improvement of CRP, ESR, RF, C3, C4, PLT, FBG, TT, PT, and APTT. (2) Network pharmacology results showed that prostaglandin-endoperoxide synthase 2 (PTGS2), CASP3, tumor necrosis factor (TNF), AKT1, and JUN, the main targets of XFC in the treatment of RA, were closely related to apoptosis and were mainly involved in interleukin 17 (IL-17), TNF, and nuclear factor-κB (NF-κb), and other apoptotic and inflammatory signaling pathways. (3) Molecular docking results showed that the active components of XFC, β- sitosterol, and stigmasterol, had good docking with TNF and PTGS2, which might be the key active components of XFC in the treatment of RA-related hypercoagulable state. Conclusion: XFC can improve the hypercoagulable state of patients with RA by promoting cell apoptosis and improving immune inflammatory response.

Effect of astragalosides on long non-coding RNA expression profiles in rats with adjuvant-induced arthritis

Rheumatoid arthritis (RA) is an autoimmune disease of unknown etiology, which occurs in ~1.0% of the general population. Increasing studies have suggested that long non-coding RNAs (lncRNAs) may serve important roles in various biological processes and may be associated with the pathogenesis of different types of disease, including RA. Astragalosides (AST) has been used as a traditional Chinese medicine for the treatment of RA. However, the mechanism underlying its therapeutic effect has remained unclear to date. Thus, there is an urgent need to elucidate the possible mechanism of AST in the treatment of RA from the perspective of lncRNAs. In the present study, the lncRNAs and mRNAs of a vehicle group, animal model group and AST treatment (control) group were determined by Arraystar Rat lncRNA/mRNA microarray. The differentially expressed genes with a fold change >1.5 and P<0.05 were selected and analyzed. Gene Ontology (GO) and pathway analysis was performed using the Database for Annotation, Visualization and Integration Discovery, and the coding-non-coding gene co-expression network was drawn based on the correlation analysis between the differentially expressed lncRNAs and mRNAs. Based on node degree and the correlation between bioinformatics analysis and RA, the critical differentially expressed lncRNAs were selected, analyzed and verified by reverse transcription-quantitative PCR (RT-qPCR) analysis. The results showed that, following AST treatment, up to 75 lncRNAs and 247 mRNAs were found to be differentially expressed among the three groups. GO and pathway analysis manifested that 135 GO terms and 17 pathways were enriched by differentially expressed genes. Four lncRNAs (MRAK012530, MRAK132628, MRAK003448 and XR_006457) were selected as the critical lncRNAs and their trend in expression showed consistency between the RT-qPCR and microarray data. In conclusion, AST had a regulatory effect on differentially expressed lncRNAs during the development of RA, and four lncRNAs could be selected as critical therapeutic targets of AST.