Effect of Wu-Wei-Gui-Shao decoction on complete Freund's adjuvant-induced arthritis rats

Purpose: To investigate the anti-rheumatic potential of Wu-Wei-Gui-Shao decoction (WGD) and its possible mechanism of action. Methods: Adjuvant arthritis (AA) rats were established using complete Freund's adjuvant. The rats were then given different doses of WGD (100, 200, and 400 mg/kg, for 28 days). The anti-arthritic effects of WGD were evaluated. Furthermore, the in vitro anti-arthritic effects of WGD and its related mechanisms were also determined in MH7A cells. Results: WGD (100 - 400 mg/kg) exhibited significant anti-rheumatic properties after 28 days of treatment, inhibiting paw edema in AA rats, reducing arthritis score and thymus and spleen index, and inhibiting the tumor necrosis factor (TNF)-α and the interleukin (IL)-6. In addition, the results of in vitro cell experiments also confirmed that WGD reduced the release of cytokines, as well as mRNA levels of matrix metalloproteinase (MMP) -2, -3, and -9. Conclusion: These findings suggest that WGD can be further developed as a traditional Chinese medicine to treat rheumatic arthritis. Keywords: Wu-Wei-Gui-Shao decoction, Complete Freund's adjuvant, Arthritis, Molecular mechanism, Traditional Chinese Medicin

Prognostic analysis of cT1-3N1M0 breast cancer patients who have responded to neoadjuvant therapy undergoing various axillary surgery and breast surgery based on propensity score matching and competitive risk model

BackgroundSentinel lymph node biopsy (SLNB) in breast cancer patients with positive clinical axillary lymph nodes (cN1+) remains a topic of controversy. The aim of this study is to assess the influence of various axillary and breast surgery approaches on the survival of cN1+ breast cancer patients who have responded positively to neoadjuvant therapy (NAT).MethodsPatients diagnosed with pathologically confirmed invasive ductal carcinoma of breast between 2010 and 2020 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. To mitigate confounding bias, propensity score matching (PSM) analysis was employed. Prognostic factors for both overall survival (OS) and breast cancer-specific survival (BCSS) were evaluated through COX regression risk analysis. Survival curves were generated using the Kaplan-Meier method. Furthermore, cumulative incidence and independent prognostic factors were assessed using a competing risk model.ResultsThe PSM analysis matched 4,890 patients. Overall survival (OS) and BCSS were slightly worse in the axillary lymph node dissection (ALND) group (HR = 1.10, 95% CI 0.91-1.31, p = 0.322 vs. HR = 1.06, 95% CI 0.87-1.29, p = 0.545). The mastectomy (MAST) group exhibited significantly worse OS and BCSS outcomes (HR = 1.25, 95% CI 1.04-1.50, p = 0.018 vs. HR = 1.37, 95% CI 1.12-1.68, p = 0.002). The combination of different axillary and breast surgery did not significantly affect OS (p = 0.083) but did have a significant impact on BCSS (p = 0.019). Competing risk model analysis revealed no significant difference in the cumulative incidence of breast cancer-specific death (BCSD) in the axillary surgery group (Grey’s test, p = 0.232), but it showed a higher cumulative incidence of BCSD in the MAST group (Grey’s test, p = 0.001). Multivariate analysis demonstrated that age ≥ 70 years, black race, T3 stage, ER-negative expression, HER2-negative expression, and MAST were independent prognostic risk factors for both OS and BCSS (all p < 0.05).ConclusionFor cN1+ breast cancer patients who respond positive to NAT, the optimal surgical approach is combining breast-conserving surgery (BCS) with SLNB. This procedure improves quality of life and long-term survival outcomes

The Gradational Route Planning for Aircraft Stealth Penetration Based on Genetic Algorithm and Sparse A-Star Algorithm

It is established for a gradational route planning algorithm which includes two layers. The first layer makes use of genetic algorithm to obtain the global optimal path by its global optimal characteristics. The second layer makes use of A* algorithm to obtain the local optimal path by its dynamic characteristic. When flying along the global optimal path, locating the new threat and confirming its performance, the aircraft can plan the local optimal path timely by A* algorithm. It is constructed for the cost function with two goals of the range and the average detection probability, which is used as the goal function for optimal path planning. Two paths that obtained from two optimal methods are merged to construct the optimal route comprehensively considering the threats and range. The simulation result shows that the cost of new optimal route is lower than the original optimal path obtained only by the genetic algorithm.It revealed that our algorithm could obtain an optimal path when a new radar threas occured

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ABSTRACT ABSTRACT ABSTRACT ABSTRACT The coefficient of detector efficiency is an essential while we use lung counting system to assess the internal exposure dose. This paper used an anthropomorphic phantom which was made accordance with Chinese Reference Man to calibrate our system. We cooperated with China Institute for Radiation Protection to manufacture the phantom which was made of tissue equivalent materials. In the lung there are 246 club-shaped uranium sources. Each source includes is obtained. In our application, about 22 workers have been measured finally. We find in our research that the Minimum Detectable Activity (MDA) of natural uranium changes from 2.5mg to 5.9mg as the CWT varies from 16.2mm to 40.5mm for our lung counting system in 4000s detecting time by analyzing 63.3keV photo-electricity peak of gamma ray