Hypertension is a major risk factor for cardiovascular diseases. Controlling blood pressure can reduce the incidence of cardiovascular events and mortality. The patients with hypertension are mainly treated with antihypertensive drugs. For the patients who can't achieve the target blood pressure with a single drug, comprehensive treatment strategies become particularly important. Chinese patent medicines are prepared by modern extraction and processing technology based on the basic theory of traditional Chinese medicine(TCM). Due to the stable antihypertensive effect, target organ protection, and synergistic effect with western medicine, Chinese patent medicines are becoming one of the effective options for the treatment of hypertension. At present, there are many systematic reviews on the treatment of hypertension with Chinese patent medicines, which makes it difficult for health policy makers and health service providers to choose the best evidence for the treatment. Umbrella review can integrate multiple systematic reviews to comprehensively assess the quality of evidence and potential bias, thereby providing high-quality evidence-based medicine basis for formulating clinical guidelines and optimizing treatment strategies. In this study, the systematic reviews/Meta-analysis of Chinese patent medicines in the treatment of essential hypertension were systematically searched. Sixty-nine articles were included for the umbrella review. Literature information was extracted, and the corrected covered area(CCA) was calculated to quantitatively evaluate the overlap degree of original studies in systematic reviews/Meta-analysis. The risk of bias in systematic reviews(ROBIS) tool and Cochrane RoB tool 2.0 were used to assess the risk of bias of the included studies. A Measure Tool to Assess Systematic Reviews 2(AMSTAR 2) was used to evaluate the methodological quality of systematic reviews/Meta-analysis. The quality of evidence was evaluated based on the Grade of Recommendations Assessment, Development and Evaluation(GRADE). The results showed that the Chinese patent medicines in the categories of treating wind, resolving stasis, and reinforcing healthy Qi were effective in lowering blood pressure. The Chinese patent medicines for resolving stasis combined with conventional treatment can lower blood pressure and the levels of low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglyceride, and total cholesterol in the treatment of hypertension complicated with coronary heart disease and hypertension complicated with left ventricular hypertrophy. Moreover, the combined therapy can recover the interventricular septal thickness, left ventricular posterior wall thickness, left ventricular mass index, left ventricular end diastolic diameter, and left ventricular ejection fraction in the case of left ventricular hypertrophy. The Chinese patent medicines for resolving stasis and for replenishing Qi and restoring pulse can be used in combination with conventional treatment for hypertension complicated with arrhythmia, which can lower blood pressure while improving the outcome indicators such as the P-wave dispersion of arrhythmia, left atrial diameter, ejection fraction, heart rate, and recurrence time. Due to the heterogeneity, the efficacy evidence obtained by the umbrella review needs to be further verified through precise clinical studies and long-term follow-up.
Hypertension/physiopathology* ; Humans ; Drugs, Chinese Herbal/therapeutic use* ; Antihypertensive Agents/therapeutic use* ; Nonprescription Drugs/therapeutic use* ; Blood Pressure/drug effects*

The chemical constituents from Cephalotaxus lanceolata were isolated and purified by using multiple chromatographic techniques, including octadecylsilane(ODS), silica gel, Sephadex LH-20 column chromatography, and semi-preparative high-performance liquid chromatography(HPLC). A total of 17 compounds obtained were identified by using spectroscopic methods such as nuclear magnetic resonance(NMR), mass spectrometry(MS), and ultraviolet(UV) combined with literature data. Compound 1 was a new alkaloid dimer, named cephalancetine E. The known compounds were determined as cephalancetine A(2), 11-hydroxycephalotaxine(3), 4-hydroxycephalotaxine(4), cephalotaxine(5), epicephalotaxine(6), cephalotaxine β-N-oxide(7), acetylcephalotaxine(8), cephalotine A(9), cephalotine B(10), 11-hydroxycephalotaxine hemiketal(11), 3-deoxy-3,11-epoxy-cephalotaxine(12), cephalotaxinone(13), isocephalotaxinone(14), 2,11-epoxy-1,2-dihydro-8-oxo-cephalotaxine(15), cephalotaxamide(16), and drupacine(17), respectively. Compounds 11, 12, and 15 were isolated from the Cephalotaxus genus for the first time. The biological activity was tested for compounds 1-17. The results reveal that compound 17 displays potent inhibitory activities against three human cancer cell lines(HepG-2, MCF-7, and SH-SY5Y).
Cephalotaxus/chemistry* ; Humans ; Cell Line, Tumor ; Drugs, Chinese Herbal/pharmacology* ; Harringtonines/pharmacology* ; Molecular Structure ; Dimerization ; Alkaloids/isolation & purification* ; Magnetic Resonance Spectroscopy

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

Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.

Ambient air pollution is increasingly being recognized as a risk factor for heart failure; however, its effects on cardiac biomarkers remain unclear. This scoping review assessed the existing evidence on the association between air pollution and cardiac biomarkers in heart failure, described the key concepts, synthesized data, and identified research gaps. Following the PRISMA-ScR guidelines, PubMed, Embase, Web of Science, and CNKI databases were searched for studies on air pollution, heart failure, and biomarkers. A total of 765 records were screened, and 81 full texts were assessed for eligibility, resulting in 15 studies. The results showed that the exposure to particulate matter was associated with elevated N-terminal pro-B-type natriuretic peptide and troponin levels. Several studies have linked particulate matter exposure to a higher cardiovascular risk and heart failure biomarkers. Inflammatory and oxidative stress markers were consistently elevated across studies, supporting the biological relevance of these associations. However, few studies have focused specifically on populations with heart failure or clinically relevant biomarkers, and the evidence for gaseous pollutants remains inconclusive. These findings highlight the need to integrate environmental risk assessment into heart failure care and inform policy efforts to reduce the pollution-related cardiovascular burden. Further research should address these gaps through improved exposure assessments and the integration of mechanistic evidence.
Heart Failure/epidemiology* ; Biomarkers/metabolism* ; Humans ; Air Pollution/adverse effects* ; Air Pollutants/adverse effects* ; Particulate Matter/adverse effects* ; Environmental Exposure ; Natriuretic Peptide, Brain/blood* ; Oxidative Stress ; Troponin/blood*

The objective of this study was to optimise the extraction process of peptide of Poecilobdella manillensis by the Box-Behnken design-response surface methodology, and to investigate its whitening and anti-aging effects. Based on single factor experiments, NaCl solution concentration, extracting time and extracting times were taken as influencing factors, and peptide yield was used as the response value. The response surface model was designed and used to obtain the optimal extraction conditions of peptides of Poecilobdella manillensis: NaCl solution concentration of 4.3%, ultrasonic time of 4 h, and ultrasonic times of 2 times (2 + 2 h), which was significant and well-fitted to the actual experiment. The tyrosinase inhibition activity of peptide of Poecilobdella manillensis was evaluated by measuring the oxidation rate of levodopa (L-DOPA) catalyzed by tyrosinase. Moreover, using Caenorhabditis elegans as a model organism, the effects of peptide of Poecilobdella manillensis on body length, locomotion, reproductive capacity, reactive oxygen species (ROS), and lipofuscin levels were determined. The results showed that peptide of Poecilobdella manillensis exhibited a significant inhibitory effect on tyrosinase, with an IC₅₀ of 0.58 mg·mL^-1, which was stronger than that of the positive control arbutin (2.24 mg·mL^-1). Compared to the control group, 0.1, 0.5 and 1.0 mg·mL^-1 peptide of Poecilobdella manillensis showed no significant differences in the body length, eggs, and body bending of Caenorhabditis elegans. However, 0.5 mg·mL^-1 peptide of Poecilobdella manillensis significantly reduced ROS levels in Caenorhabditis elegans; 0.5 and 1.0 mg·mL^-1 peptide of Poecilobdella manillensis significantly reduced lipofuscin levels in Caenorhabditis elegans. Peptide of Poecilobdella manillensis exhibits effective whitening and anti-aging activities, potentially mediated by its inhibition of tyrosinase activity and antioxidant effects.

AIM:To investigate the mechanism of hyperplasia of mammary gland(HMG)and the potential differential metabolites in rats based on the serum metabolomics assessment by liquid chromatography-mass spectrometry(LC-MS).METHODS:Twelve specific-pathogen-free(SPF)-grade female Wistar rats were randomly and equally as-signed to the normal and model groups.The model group received intramuscular injections of estradiol benzoate(0.5 mg·kg-1·d-1)for 21 d,followed by intramuscular injections of progesterone(4 mg·kg-1·d-1)for 7 d for preparing the HMG model.The body weight and nipple diameter of the rats were measured,and the histopathological changes in their mamma-ry gland were monitored.After the successful establishment of the model,rat serum was collected for LC-MS metabolomics analysis,the differential metabolites in the serum of the normal and model group rats were analyzed by principal compo-nent analysis(PCA)and partial least squares discriminant analysis(PLS-DA),and the metabolic pathway analysis of dif-ferential markers through the Kyoto Encyclopedia of Genes and Genomes(KEGG)open database was performed.RE-SULTS:Compared with the normal rats in the control group,no significant change was observed in the body weight(P>0.05),the diameter of the nipple was significantly enlarged(P<0.01),the hematoxylin-eosin(HE)staining section of the mammary gland displayed typical HMG morphology,which together indicated that the modeling was successful.The metabolic patterns of the serum samples from both groups were significantly different,and 30 potentially differential metab-olites were identified based on the variable importance in projection(VIP)≥2.0 and P<0.05,mainly including 3-dehydro-cholic acid,alcoholic acid,glycocholate-3-sulfate,glycine-deoxycholan-3-sulfate,glycine-deoxycholan-3-sulfate,3a,7b,and 12a trihydroxycholan-3-sulfate,cholic acid,and glycolic acid.Further receiver operating characteristic(ROC)analysis revealed that the area under the curve(AUC)of the 13 metabolites was>0.9,implying the possible high sensitiv-ity for the diagnosis of HMG.According to the KEGG pathway enrichment analysis,most of the differential metabolites were mainly concentrated in aldosterone synthesis and secretion,sphingomyelin metabolism,arachidonic acid metabo-lism,apoptosis and cholesterol metabolism.CONCLUSION:The pathogenesis of estrogen-and progesterone-induced HMG in rats may be related to the altered bile acids,their derivatives metabolism,and the lipid metabolism pathways.The 13 differential metabolites identified by serum metabolomics with high sensitivity may thus provide a reference for the diagnosis of HMG.

Objective To develop a prediction tool for post-endoscopic retrograde cholangiopancreatography(ER-CP)early biliary tract infection(PEEBI)in patients with choledocholithiasis,and assist clinical decision-making be-fore ERCP and early personalized intervention after ERCP.Methods An observational bidirectional cohort study was adopted to select inpatients with choledocholithiasis who underwent ERCP in a hospital.Directed acyclic graph(DAGs)and the least absolute shrinkage and selection operator(LASSO)were used to predict PEEBI based on lo-gistic regression,and the models were compared and validated internally and externally.Results From January 1,2020 to September 30,2023,a total of 2 121 patients with choledocholithiasis underwent ERCP were enrolled,of whom 77(3.6％)developed PEEBI,mostly in the first 2 days after surgery(66.2％).The major influencing fac-tors for PEEBI were non-iatrogenic patient-related factors,namely diabetes mellitus(OR=2.43,95％CI:1.14-4.85),bile duct malignancy(OR=3.95,95％CI:1.74-8.31)and duodenal papillary diverticulum(OR=4.39,95％CI:1.86-9.52).Compared with the LASSO model,the DAGs model showed higher ability(3.0％)in com-prehensive discrimination(P=0.007),as well as good differentiation performance(D=0.133,P=0.894)and cal-ibration performance(x2=5.499,P=0.703)in external validation.Conclusion The DAGs model constructed in this study has good predictive performance.With the help of this tool,targeted early preventive measures in clinical practice can be taken to reduce the occurrence of PEEBI.