Vascular cognitive impairment (VCI), caused by cerebrovascular dysfunction, severely impacts the quality of life in the elderly population, yet effective therapeutic approaches remain limited. Mitophagy, a selective mitochondrial quality-control mechanism, has emerged as a critical focus in neurological disease research. Accumulating evidence indicates that mitophagy modulates oxidative stress, neuroinflammation, and neuronal apoptosis. Key signaling pathways associated with mitophagy—including PINK1/Parkin, BNIP3/Nix, FUNDC1, PI3K/Akt/mTOR, and AMPK—have been identified as potential therapeutic targets for VCI. This review summarizes the mechanistic roles of mitophagy in VCI pathogenesis and explores emerging therapeutic strategies targeting these pathways, aiming to provide novel insights for clinical intervention and advance the development of effective treatments for VCI.

OBJECTIVE To establish a quantitative analysis of multi-components by single-marker （QAMS） method for simultaneous determination of six flavonoids and two phenolic acids in Perilla frutescens leaves using scutellarin and rosmarinic acid as internal reference substances， and apply this method to determine the contents of eight components in 20 batches of P. frutescens leaves samples from different regions. METHODS Scutellarin served as the internal reference to calculate relative correction factors （RCFs） for scutellarin-7-O-diglucuronide， luteolin-7-O-diglucuronide， apigenin-7-O-diglucuronide， luteolin-7-O- β-D-glucuronide and apigenin-7-O-glucuronide. Rosmarinic acid was employed as the internal reference to determine the RCF for caffeic acid. The contents of the above flavonoids and phenolic acids were calculated with QAMS， and compared with the results of external standard method. RESULTS The eight analytes demonstrated excellent linearity within their respective concentration ranges （r≥0.999 0）. The mean recovery rates for spiked samples ranged from 95.60% to 102.15%， with relative standard deviations （RSDs） of 0.72% to 2.70% （n＝6）. The method exhibited good precision， repeatability， and stability （RSD＜2.50%， n＝6）. Variations in instruments， columns， column temperature， flow rate， and formic acid volume fraction had minimal impact on the RCFs （RSD＜3%， n＝3）. Comparison with the external standard method showed no significant differences in the content of each component across batches， except for caffeic acid in the ZS12 batch （absolute value of RE＜5%， n＝2）. The contents of six CARS-21） flavonoid components in P. frutescens leaves samples varied significantly across different geographic origins， while the content of total flavonoids showed no significant difference. In contrast， the contents of two phenolic acid components and total phenolic acid exhibited significant variation among samples from different regions. CONCLUSIONS The developed QAMS method can simultaneously determine the contents of six flavonoids and two phenolic acids in P. frutescens leaves. It is convenient for detection， highly accurate， and cost-effective. This method is suitable for the quality control of P. frutescens leaves， and the variation of flavonoid and phenolic acid content in samples from different regions provides a reference for the selection of optimal cultivation areas.

OBJECTIVE: To evaluate the clinical efficacy and safety of Yangxue Qingnao Pills (YXQNP) combined with amlodipine in treating patients with grade 1 hypertension. METHODS: This is a multicenter, randomized, double-blind, and placebo-controlled study. Adult patients with grade 1 hypertension of blood deficiency and Gan (Liver)-yang hyperactivity syndrome were randomly divided into the treatment or the control groups at a 1:1 ratio. The treatment group received YXQNP and amlodipine besylate, while the control group received YXQNP's placebo and amlodipine besylate. The treatment duration lasted for 180 days. Outcomes assessed included changes in blood pressure, Chinese medicine (CM) syndrome scores, symptoms and target organ functions before and after treatment in both groups. Additionally, adverse events, such as nausea, vomiting, rash, itching, and diarrhea, were recorded in both groups. RESULTS: A total of 662 subjects were enrolled, of whom 608 (91.8%) completed the trial (306 in the treatment and 302 in the control groups). After 180 days of treatment, the standard deviations and coefficients of variation of systolic and diastolic blood pressure levels were lower in the treatment group compared with the control group. The improvement rates of dizziness, headache, insomnia, and waist soreness were significantly higher in the treatment group compared with the control group (P<0.05). After 30 days of treatment, the overall therapeutic effects on CM clinical syndromes were significantly increased in the treatment group as compared with the control group (P<0.05). After 180 days of treatment, brachial-ankle pulse wave velocity, ankle brachial index and albumin-to-creatinine ratio were improved in both groups, with no statistically significant differences (P>0.05). No serious treatment-related adverse events occurred during the study period. CONCLUSIONS Combination therapy of YXQNP with amlodipine significantly improved symptoms such as dizziness and headache, reduced blood pressure variability, and showed a trend toward lowering urinary microalbumin in hypertensive patients. These findings suggest that this regimen has good clinical efficacy and safety. (Registration No. ChiCTR1900022470).
Humans ; Amlodipine/adverse effects* ; Drugs, Chinese Herbal/adverse effects* ; Male ; Female ; Hypertension/complications* ; Middle Aged ; Treatment Outcome ; Drug Therapy, Combination ; Adult ; Blood Pressure/drug effects* ; Double-Blind Method ; Aged ; Antihypertensive Agents/adverse effects*

OBJECTIVES: To explore the therapeutic mechanism of compound Centella asiatica formula (CCA) for alleviating Schistosoma japonicum (Sj)-induced liver fibrosis in mice. METHODS: The active components and targets of CCA were identified using the TCMSP database with cross-analysis of Sj-related liver fibrosis targets. A "drug-component-target-pathway-disease" network was constructed using Cytoscape 3.9.1. Functional enrichment analysis (GO/KEGG) was performed using DAVID. Molecular docking study was carried out to validate interactions between the core targets and the key compounds. For experimental validation of the results, 36 mice were divided into control group, Sj-infected model group, and CCA-treated groups. In the latter two groups, liver fibrosis was induced via abdominal infection with Sj cercariae for 8 weeks, followed by 8 weeks of daily treatment with CCA decoction or saline. Hepatic pathology of the mice was assessedwith HE and Masson staining, and hepatic expressions of collagen-I and collagen-III were detected using immunohistochemistry; serum IL-6 and TNF-α levels were determined with ELISA. Hepatic expressions of TLR4 and MyD88 proteins were analyzed with Western blotting. RESULTS: We identified a total of 107 bioactive CCA components and 791 targets, including 37 intersection targets linked to Sj-induced fibrosis. The core targets included TNF, TP53, JUN, MMP9, and CXCL8, involving the IL-17 signaling, lipid metabolism, TLR4/MyD88 axis, and cancer pathways. Molecular docking study confirmed strong binding affinity between quercetin (a primary CCA component) and TNF/TP53/JUN/MMP9. In Sj-infected mouse models, CCA treatment significantly attenuated hepatic inflammatory cell infiltration, reduced collagen-I and collagen-III deposition, improved tissue architecture, reduced serum IL-6 and TNF-α levels, and downregulated TLR4 and MyD88 expressions in the liver. CONCLUSIONS CCA mitigates Sj-induced liver fibrosis by targeting TNF, TP53, JUN, and MMP9 to modulate the TLR4/MyD88 pathway, thereby suppressing pro-inflammatory cytokine release, inhibiting hepatic stellate cell activation, reducing collagen deposition, and preventing granuloma formation in the liver.
Animals ; Toll-Like Receptor 4/metabolism* ; Mice ; Myeloid Differentiation Factor 88/metabolism* ; Schistosoma japonicum ; Liver Cirrhosis/parasitology* ; Schistosomiasis japonica ; Signal Transduction ; Molecular Docking Simulation ; Inflammation ; Centella/chemistry* ; Drugs, Chinese Herbal/pharmacology* ; Tumor Necrosis Factor-alpha/metabolism*

Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

This paper systematically summarizes the practical experience of the 2025 Dingri earthquake emergency medical rescue in Tibet. It analyzes the requirements for earthquake medical rescue under conditions of high-altitude hypoxia, low temperature, and low air pressure. The paper provides a detailed discussion on the strategic layout of earthquake medical rescue at the national level, local government level, and through social participation. It covers the construction of rescue organizational systems, technical systems, material support systems, and information systems. The importance of building rescue teams is emphasized. In high-altitude and cold conditions, rapid response, scientific decision-making, and multi-party collaboration are identified as key elements to enhance rescue efficiency. By optimizing rescue organizational structures, strengthening the development of new equipment, and promoting telemedicine technologies, the precision and effectiveness of medical rescue can be significantly improved, providing important references for future similar disaster rescues.

Objective To develop the application technology of finger length ratios in the selection of Muay Thai athletes,and to provide practical guidance for improving the competitive level of Muay Thai.Methods By using the method of snowball sampling and simple random sampling,413 subjects were selected in Bangkok,Thailand,including 84 male Muay Thai professional players,62 female Muay Thai professional players,137 ordinary male college students and 130 female college students.The finger length of the subjects was measured and their finger length ratios was calculated.SPSS 20.0 statistical software was used for discriminant analysis.Results The 2D∶3D,2D∶4D,2D∶5D,3D∶4D and 3D∶5D of male Muay Thai professional players were significantly lower than that in the general male Thai population,and the 2D∶4D,3D∶4D and 3D∶5D of female Muay Thai players were significantly lower than that in the general female Thai population,and the above differences were statistically significant(P＜0.05).Discriminant functions developed using both the full model and stepwise method were statistically significant,demonstrating high accuracy and stability.The correct discrimination rates were higher in the male population than that in the female population.When distinguishing between Muay Thai professional fighters and the general Thai population,the optimal 2D∶4D threshold for males is 0.951,and for females,it was 0.960.Conclusion The discriminant model of Muay Thai professional players and ordinary people based on the ratios of finger length can provide important reference for the selection of Muay Thai athletes.

Objective This research was performed to identify rodent-borne pathogens in Hekou Port,Yunnan Province.Methods Rodents were captured using cages and dissected to collect their lungs,liver,spleen,and other viscera.Eight pathogens,including Yersinia pestis,Leptospira,Bartonella,and Anaplasmataceae,were identified using polymerase chain reaction amplification.Amplified pathogen sequences from positive samples were sequenced,and BLAST homology searches were conducted using GenBank to confirm pathogen identities.A phylogenetic tree of the identified pathogens was constructed using the neighbor joining method.Results The total of 31 rodents,identified as Rattus tanezumi,R.norvegicus,and Mus musculus,were captured.Among these,R.tanezumi was the dominant species,accounting for 64.52％of the total.Two pathogens,Leptospira interrogans and Neoehrlichia mikurensis,were detected,with positivity rates of 9.68％and 29.03％,respectively.No other pathogens were detected.The overall positivity rate for rodent-borne pathogens was 35.48％.Conclusions The single 16S rRNA gene fragment is insufficient for the molecular identification of all Neoehrlichia species.Accurate species identification should be based on a combined analysis of multiple genes.The prevalence of rodent-borne pathogens in Hekou Port indicates the necessity for enhanced surveillance of rodent-borne diseases and implementation of additional prevention and control measures in border ports.