Pathological pathway analysis in an experimental rheumatoid arthritis model and the tissue repair effect of acupuncture at ST36.

Rheumatoid arthritis (RA) is an autoimmune disease that generally affects the joints. In the face of inflammation-induced cartilage and bone damage, RA treatment remains insufficient. While research evidence indicates that acupuncture can exert anti-inflammatory and analgesic effects, improve the joint function of RA patients, and delay the disease, data on whether it can promote RA repair are lacking. Findings from the present work demonstrated that both the antigen-induced arthritis (AIA) and collagen-induced arthritis (CIA) models can simulate joint swelling of RA. The AIA model was more stable than the CIA model, with a higher incidence of successful arthritis modeling. Moreover, the AIA mice model could simulate the signal molecules and related pathological processes of the autoimmune response in RA, as well as major pathways related to RA and antigen immune response mechanisms. Manual acupuncture (MA) at Zusanli (ST36) significantly improved paw redness and swelling, pain, and inflammatory cell infiltration in the joints in AIA mice. The therapeutic effect of MA on AIA is achieved primarily through the regulation of steroid hormone biosynthesis, cell metabolism, and tissue repair processes. MA at ST36 can increase the gene contents of tissue repair growth factors, including PEG3, GADD45A, GDF5, FGF5, SOX2, and ATP6V1C2 in the inflammatory side joints of AIA mice, as well as the gene expression of the anti-inflammatory cytokine IL-10. In conclusion, acupuncture may alleviate RA in the joints via modulating the tissue healing process.

Prognostic value of soluble urokinase-type plasminogen activator receptor in coronary artery disease: A meta-analysis.

BACKGROUND: A potential inflammatory biomarker, soluble urokinase-type plasminogen activator receptor (suPAR) has been utilized to assist the prognostic assessment of coronary artery disease (CAD) patients; however, outcomes have been inconsistent. The prognostic relevance of suPAR as a predictor of CAD patient adverse outcomes was therefore examined. METHODS: Research articles published as of 1 January 2022 were retrieved from PubMed, Embase, the Web of Science and the Cochrane Library. All-cause mortality, cardiovascular mortality and other major cardiovascular events (nonfatal myocardial infarction, heart failure or stroke) were analysed as a subset of relevant studies' results. We calculated hazard ratios (HRs) and 95% confidence intervals (CIs) for each study. The broad EQUATOR guidelines were conformed. Risk of bias was assessed with ROBINS-I tool. RESULTS: In total, this analysis included nine studies including 14,738 CAD patients. All included studies made a correction for certain potential confounders. However, risk of bias ranged from moderate to critical. When the ROBINS-I tool was used. Patients with CAD that exhibited increased suPAR levels had a substantially higher risk of all-cause mortality (HR = 2.24; 95% CI 1.97-2.55) or cardiovascular mortality (HR = 2.02; 95% CI 1.58-2.58), but not of developing other major cardiovascular events (HR = 1.63; 95% CI 0.86-3.11). Considerable heterogeneity across studies was observed in our meta-analyses, but no significant publication bias was detected. CONCLUSION: In patients with coronary disease, suPAR may have prognostic value for both all-cause and cardiovascular mortality but not for other major cardiovascular events.