Objective To investigate the ameliorative effects and mechanisms of six types of tea(green tea,cyan tea,red tea,white tea,black tea and yellow tea)on metabolic disorders in obesity mice induced by high-fat diet(HFD).Methods Four-week-old male C57BL/6J mice were randomly divided into 8 groups with 7 mice per group.An HFD-induced obese mouse model was established,and the mice in control group maintained on standard diet followed by intragastric administration of different teas for 5 weeks.The body weight,liver weight ratio,fasting blood glucose,and lipid profile of the mice were measured to assess glucose and lipid metabolism.Serum inflammatory factors including IL-6,tumor necrosis factor-alpha(TNF-α)and oxidative stress markers[malondialdehyde(MDA)and superoxide dismutase(SOD)were measured.Additionally,liver histopathology and the expression of key glycolipid metabolism-related genes,adenosine monophosphate-activated protein kinase(AMPK)and carnitine palmitoyltransferase 1(CPT-1),were analyzed to explore underlying mechanisms.Results Cyan tea significantly suppressed weight gain,demonstrating superior weight control.White tea markedly reduced fasting blood glucose levels and decreased the area under the curve of oral glucose tolerance test(OGTT)and insulin tolerance test(ITT),indicating synergistic improvements in glucose metabolism and insulin sensitivity.Yellow tea exhibited exceptional anti-inflammatory and antioxidant effects,reducing hepatic IL-6 and MDA while enhancing SOD activity.Green tea activated the lipid oxidation pathway by upregulating AMPK/CPT-1 expression.All kinds of tea significantly attenuated hepatic lipid droplet accumulation.Conclusion All six types of tea alleviated metabolic disorders by reducing hepatic fat content in obesity mice.However,different types of tea exert their unique effects on improving metabolic disorders through differential mechanisms such as glucose metabolism regulation,lipid oxidation,and anti-inflammatory and antioxidant actions.

Objectives:To investigate the enhancement of tumor penetration and photodynamic therapy (PDT) efficacy in triple-negative breast cancer by hyaluronidase (HAase) using a novel pH-responsive IR780-loaded photosensitive micelle.Methods:The pH-responsive IR780-loaded photosensitive micelles were prepared using the nanoprecipitation method, and their morphology, size, and encapsulation efficiency were characterized. The in vitro stability and pH-responsive drug release of the micelles were also evaluated. The cytotoxicity of the micelles on triple-negative breast cancer cells (MDA-MB-231) was assessed using a cell counting kit. A nude mouse breast cancer model was established, and HAase was injected intratumorally 24 hours before intravenous injection of the photosensitive micelles. The effect of HAase on the biodistribution and tumor uptake of the micelles was detected using small animal in vivo imaging. CD31 and HIF-1α immunofluorescence staining were performed to investigate the mechanism of HAase-enhanced tumor penetration. The body weight and tumor volume of the mice were measured, and necrosis and apoptosis of tumor tissues were assessed using HE staining and TUNEL staining, respectively. Results:Transmission electron microscopy showed that the micelles had a uniform particle size of approximately 60-70 nm, with a hydrated particle size of (98.03±0.22) nm. The IR780 encapsulation efficiency was 74.15%, with a drug loading content of 2.07%. After 7 days at 4 ℃, there was no significant change in hydrated particle size ( P=0.062). The 24-hour release rates of the micelles in PBS at pH 7.4 and 6.5 were (2.41±0.21)% and (43.69±2.09)%, respectively, showing a significant difference ( P＜0.000 1). The cytotoxicity assay revealed that the cell viability in the micelles group without light exposure was significantly higer than that in the micelles group under light exposure [(97.00±5.38)% vs. (53.27±9.00)%, P=0.000 2]. The micelles were able to target and accumulate in the tumor tissue, and this accumulation increased significantly with HAase treatment. CD31 and HIF-1α immunofluorescence staining indicated that the CD31 signal was enhanced [(0.27±0.05)% vs. (4.57±0.27)%, P＜0.000 1] and the HIF-1α signal was reduced [(5.14±0.38)% vs. (0.08±0.04)%, P＜0.000 1] in the HAase-treated group compared to that in the micelle-only group. After 11 days of treatment with HAase combined with photosensitive micelles, there was no statistically significant difference in mouse body weight ( P＞0.05). However, the tumor volume inhibition rate in the HAase-micelle-mediated PDT group was significantly higher than that in the micelle-mediated PDT group [(87.66±6.37)% vs. (25.34±12.63)%, P=0.002]. Histological staining showed a significant increase in tumor cell necrosis and apoptosis in the HAase-micelle-mediated PDT group. Conclusion:HAase enhances the deep tumor penetration and targeted accumulation of pH-responsive IR780-loaded photosensitive micelles, significantly improves the efficacy of photodynamic therapy in triple-negative breast cancer.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Objectives:To investigate the enhancement of tumor penetration and photodynamic therapy (PDT) efficacy in triple-negative breast cancer by hyaluronidase (HAase) using a novel pH-responsive IR780-loaded photosensitive micelle.Methods:The pH-responsive IR780-loaded photosensitive micelles were prepared using the nanoprecipitation method, and their morphology, size, and encapsulation efficiency were characterized. The in vitro stability and pH-responsive drug release of the micelles were also evaluated. The cytotoxicity of the micelles on triple-negative breast cancer cells (MDA-MB-231) was assessed using a cell counting kit. A nude mouse breast cancer model was established, and HAase was injected intratumorally 24 hours before intravenous injection of the photosensitive micelles. The effect of HAase on the biodistribution and tumor uptake of the micelles was detected using small animal in vivo imaging. CD31 and HIF-1α immunofluorescence staining were performed to investigate the mechanism of HAase-enhanced tumor penetration. The body weight and tumor volume of the mice were measured, and necrosis and apoptosis of tumor tissues were assessed using HE staining and TUNEL staining, respectively. Results:Transmission electron microscopy showed that the micelles had a uniform particle size of approximately 60-70 nm, with a hydrated particle size of (98.03±0.22) nm. The IR780 encapsulation efficiency was 74.15%, with a drug loading content of 2.07%. After 7 days at 4 ℃, there was no significant change in hydrated particle size ( P=0.062). The 24-hour release rates of the micelles in PBS at pH 7.4 and 6.5 were (2.41±0.21)% and (43.69±2.09)%, respectively, showing a significant difference ( P＜0.000 1). The cytotoxicity assay revealed that the cell viability in the micelles group without light exposure was significantly higer than that in the micelles group under light exposure [(97.00±5.38)% vs. (53.27±9.00)%, P=0.000 2]. The micelles were able to target and accumulate in the tumor tissue, and this accumulation increased significantly with HAase treatment. CD31 and HIF-1α immunofluorescence staining indicated that the CD31 signal was enhanced [(0.27±0.05)% vs. (4.57±0.27)%, P＜0.000 1] and the HIF-1α signal was reduced [(5.14±0.38)% vs. (0.08±0.04)%, P＜0.000 1] in the HAase-treated group compared to that in the micelle-only group. After 11 days of treatment with HAase combined with photosensitive micelles, there was no statistically significant difference in mouse body weight ( P＞0.05). However, the tumor volume inhibition rate in the HAase-micelle-mediated PDT group was significantly higher than that in the micelle-mediated PDT group [(87.66±6.37)% vs. (25.34±12.63)%, P=0.002]. Histological staining showed a significant increase in tumor cell necrosis and apoptosis in the HAase-micelle-mediated PDT group. Conclusion:HAase enhances the deep tumor penetration and targeted accumulation of pH-responsive IR780-loaded photosensitive micelles, significantly improves the efficacy of photodynamic therapy in triple-negative breast cancer.

Objective:To investigate the clinical characteristics, imaging features, risk factors, and prognosis of childhood-onset Takayasu arteritis (TAK) with pulmonary artery involvement.Methods:A retrospective cohort study was conducted in 107 pediatric patients who were initially diagnosed with childhood-onset TAK at Department of Rheumatology and Immunology, Capital Center for Children′s Health, Capital Medical Universiy, from January 2010 to December 2024. Clinical data, including demographic information, imaging features, treatment regimens, and prognosis were collected. Patients were divided into with and without pulmonary artery involvement groups. Intergroup comparisons were performed. Multivariate logistic regression was used to identify risk factors for pulmonary artery involvement. Kaplan-Meier analysis with Log-Rank testing was used for survival analyze.Results:Among 107 children with TAK, 26 were male, 81 were female, with a diagnosis age of 88 (5, 137) months. Sixteen cases were in the pulmonary artery involvement group and 91 cases in the non-pulmonary artery involvement group. The pulmonary artery involvement group was predominantly female (14 cases), with a diagnosis age of 39 (4, 104) months. The pulmonary artery involvement group had higher incidence rates of fatigue,pulmonary hypertension, right heart failure,superior mesenteric artery involvement,as well as higher neutrophil counts, C-reactive protein (CRP) levels (all P<0.05). Hemoglobin was lower in the pulmonary artery involvement group ( P<0.05). Imaging findings revealed that all 16 children in the pulmonary artery involvement group showed signs of pulmonary arterial wall thickening. Other manifestations included dilation in 2 cases, stenosis in 2 cases, and occlusion in 1 case. Unilateral involvement (12 cases) was more common, and the right pulmonary artery (10 cases) was more frequently affected. Independent risk factors for pulmonary artery involvement in childhood-onset TAK patients included superior mesenteric artery involvement ( OR=5.58, 95% CI 1.41-22.10, P=0.014) and elevated CRP levels ( OR=1.02, 95% CI 1.00-1.03, P=0.027). During a follow-up of 3.9 (1.4,8.1) years, 2 patients with pulmonary artery involvement (all with pulmonary hypertension), among the survivors in the pulmonary artery involvement group, 2 cases still exhibited persistent pulmonary artery dilation, and one case had pulmonary artery occlusion; and 6 patients (6.6%) without pulmonary artery involvement died. Patients with pulmonary artery involvement had significantly lower survival rates compared to those without involvement ( P=0.024). Conclusions:Childhood-onset TAK with pulmonary artery involvement has an insidious clinical presentation, and can progress to pulmonary hypertension, pulmonary artery occlusion, and a significantly reduced survival rate. Patients with mesenteric artery involvement or elevated CRP have higher risks of pulmonary artery involvement, requiring close pulmonary vascular monitoring and early intervention to improve prognosis.

Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning ; Drugs, Chinese Herbal/standards* ; Quality Control ; Medicine, Chinese Traditional/standards* ; Humans

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

As global greenhouse gases continue rising, the urgency of more ambitious action is clearer than ever before. China is the world's biggest emitter of greenhouse gases and one of the countries affected most by climate change. The evidence about the impacts of climate change on the environment and human health may encourage China to take more decisive action to mitigate greenhouse gas emissions and adapt to climate impacts. This article aimed to review the evidence of environmental damages and health risks posed by climate change and to provide a new science-based perspective for the delivery of sustainable development goals. Over recent decades, China has experienced a strong warming pattern with a growing frequency of extreme weather events, and the impacts of climate change on China's environment and human health have been consistently observed, with increasing O ₃ air pollution, decreases in water resources and availability, land degradation, and increased risks for both communicable and non-communicable diseases. Therefore, China's climate policy should target the key factors driving climate change and scale up strategic measures to curb carbon emissions and adapt to inevitable increasing climate impacts. It provides new insights for not only China but also other countries, particularly developing and emerging economies, to ensure climate and environmental sustainability whilst pursuing economic growth.
Climate Change ; China ; Humans ; Greenhouse Gases ; Air Pollution ; Sustainable Development ; Environment