ObjectiveTo investigate somatization symptoms in adolescents during frequent earthquakes in Hefei， and to explore their correlation with earthquake experiences. MethodsA cross-sectional survey was used to select 324 adolescents in Hefei as the survey objects. The self-rating scale of somatization symptoms （SSS） and the fatigue intensity scale （FIS） were used to evaluate the somatization symptoms and fatigue degree of middle school students， and multivariate Logistic regression analysis was used to explore the related factors of somatization symptoms and fatigue among middle school students. ResultsA total of 324 adolescents were included， and the overall detection rate of somatization symptoms was 6.5%， and the detection rate of moderate or above fatigue was 20.1%. The results of regression analysis showed that adolescents who were concerned about the earthquake for a longer time （≥1 h） had a higher risk of somatization symptoms （OR=5.430， 95%CI： 1.547-19.058）， and adolescents who received pre-earthquake training had a lower degree of fatigue （OR=0.535， 95%CI： 0.292-0.981） （P<0.05）. ConclusionDuring the frequent earthquakes， adolescents have more somatization symptoms and fatigue. Therefore， it is crucial to enhance health education， reduce the emphasis on event-related reports， and implement earthquake prevention and disaster reduction training to improve the physical and mental health of adolescents.

OBJECTIVE To formulate the Expert Consensus on the Implementation and Management of Drug Selection for Centralized Volume-Based Procurement in Medical Institutions of Guangxi （hereinafter referred to as the “ Consensus ”）， and to provide decision-making support and practical guidance for the drug selection and management of centralized volume-based procurement （hereinafter referred to as “centralized procurement”） drugs in medical institutions at all levels in Guangxi. METHODS A systematic review was conducted on the materials from previous batches of centralized procurement implemented in Guangxi. A comprehensive search was carried out for drug-related works and books， along with a systematic collation of guidelines on drug selection， expert consensus on centralized procurement， and policy documents. Through three rounds of specialized seminars， combined with existing evidence-based data and the practical drug selection experiences of medical institutions at various levels， this Consensus was formulated after thorough discussion and successive rounds of revision. RESULTS & CONCLUSIONS The Consensus systematically outlines the three key stages in the implementation of centralized procurement in medical institutions： procurement volume reporting， confirmation of agreed procurement volume， and procurement and usage implementation. It proposes drug selection strategies for centralized procurement bas ed on multiple dimensions， including specifications， dosage forms， packaging materials， fill volume， and manufacturing enterprises. In response to practical challenges encountered in the selection process， corresponding countermeasures are proposed， such as establishing a regularized information reserve mechanism， strengthening information technology support， and implementing categorized selection approaches. The Consensus advocates for medical institutions to construct an integrated “policy， data， and quality” decision-making system to promote full-cycle management of centralized procurement. This Consensus will provide scientific and practical guidance for medical institutions at all levels in Guangxi in the drug selection of centralized procurement， facilitating the smooth implementation and sustainable development of centralized procurement policies at the institutional level.

This paper outlines the development of artificial intelligence （AI） and its applications in traditional Chinese medicine （TCM） research， and elucidates the roles and advantages of large language models， knowledge graphs， and natural language processing in advancing syndrome identification， prescription generation， and mechanism exploration. Using spleen-stomach diseases as an example， it demonstrates the empowering effects of AI in classical literature mining， precise clinical syndrome differentiation， efficacy and safety prediction， and intelligent education， highlighting an upgraded research paradigm that evolves from data-driven and knowledge-driven approaches to intelligence-driven models. To address challenges related to privacy protection and regulatory compliance in cross-institutional data collaboration， a "trusted federated evidence-based analysis platform for TCM spleen-stomach diseases" is proposed， integrating blockchain-based smart contracts， federated learning， and secure multi-party computation. The deep integration of AI with privacy-preserving computing is reshaping research and clinical practice in TCM spleen-stomach diseases， providing feasible pathways and a technical framework for building a high-quality， trustworthy TCM big-data ecosystem and achieving precision syndrome differentiation.

Mechanical pain is one of the most common causes of clinical pain, but there remains a lack of effective treatment for debilitating mechanical and chronic forms of neuropathic pain. Recently, neurotoxin GsMTx4, a selective mechanosensitive (MS) channel inhibitor, has been found to be effective, while the underlying mechanism remains elusive. Here, with multiple rodent pain models, we demonstrated that a GsMTx4-based 17-residue peptide, which we call P10581, was able to reduce mechanical hyperalgesia and neuropathic pain. The analgesic effects of P10581 can be as strong as morphine but is not toxic in animal models. The anti-hyperalgesic effect of the peptide was resistant to naloxone (an μ-opioid receptor antagonist) and showed no side effects of morphine, including tolerance, motor impairment, and conditioned place preference. Pharmacological inhibition of TRPV4 by P10581 in a heterogeneous expression system, combined with the use of Trpv4 knockout mice indicates that TRPV4 channels may act as the potential target for the analgesic effect of P10581. Our study identified a potential drug for curing mechanical pain and exposed its mechanism.

P-glycoprotein(P-gp)is an ATP-dependent efflux transporter that is distributed in many tissues and organs.P-gp can selectively pump endogenous substrates and exogenous chemicals from the cell to the outside of the cell to maintain a stable endo-environment.However,it meanwhile restricts the entry of therapeutic drug into tissues and organs,and in particular,mediates the multidrug resistance of tumor cells to chemotherapeutic drugs.Therefore,understanding the localization of P-gp in different tissues and organs may be an important breakthrough point for disease treatment.In this paper,we mainly review the molecular structure,transport mechanism,localization,and regulation of P-gp in different tissues and organs,providing reference for the subsequent treatment of diseases.
Humans ; ATP Binding Cassette Transporter, Subfamily B, Member 1/chemistry* ; Animals ; Drug Resistance, Multiple

ObjectiveTo investigate the distribution of traditional Chinese medicine （TCM） syndromes in intrahepatic cholestasis of pregnancy （ICP） and its association with perinatal outcomes， and to provide a basis for precise treatment based on TCM syndrome differentiation. MethodsA cross-sectional study was conducted among 275 patients with ICP who were admitted to The Affiliated Hospital of Chengdu University of Traditional Chinese Medicine from April 2023 to April 2025. A hierarchical cluster analysis was used to summarize TCM syndromes. The Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between groups， and the chi-square test was used for comparison of categorical data between groups. A multivariate Logistic regression analysis was used to identify the clinical features significantly associated with TCM syndrome. ResultsThe cluster analysis identified three core TCM syndromes among the 275 patients with ICP， i.e.， liver-gallbladder damp-heat syndrome （45.8%）， syndrome of blood deficiency generating wind （30.9%）， and liver depression and spleen deficiency syndrome （23.3%）. There was a significant difference in the distribution of TCM syndromes between different groups stratified by maternal age at delivery， parity， history of ICP recurrence， gestational weeks at disease onset， total bile acid （TBA）， alanine aminotransferase （ALT）， and comorbidity with gestational diabetes mellitus （GDM） （all P<0.05）. The multivariate Logistic regression analysis showed that<34 gestational weeks at disease onset was significantly associated with all three syndromes （damp-heat： odds ratio ［OR］=3.769， P<0.001； blood deficiency： OR=4.031， P<0.001； liver stagnation： OR=3.552， P<0.001）. Liver-gallbladder damp-heat syndrome was associated with maternal age ≥35 years at disease onset （OR=2.048， P=0.014）， parity ≥2 times （OR=1.921， P=0.034）， history of ICP recurrence （OR=2.404， P=0.030）， ALT ≥200 U/L （OR=2.051， P=0.018）， comorbidity with GDM （OR=1.944， P=0.029）， and TBA ≥40 μmol/L （OR=2.542， P=0.024）. The syndrome of blood deficiency generating wind syndrome was associated with maternal age ≥35 years （OR=2.939， P=0.003）， parity ≥2 time （OR=3.222， P=0.003）， history of ICP recurrence （OR=3.809， P=0.010）， ALT ≥200 U/L （OR=2.889， P=0.006）， comorbidity with GDM （OR=3.711， P=0.001）， and comorbidity with hypertensive disorders of pregnancy （OR=4.472， P=0.011）. Liver depression and spleen deficiency syndrome was associated with TBA ≥40 μmol/L （OR=2.995， P=0.044）. The analysis of perinatal outcomes showed that there were significant differences in mode of delivery， gestational weeks at the time of delivery， postpartum blood loss， and neonatal birth weight between the three groups with different TCM syndromes （all P<0.05）. ConclusionLiver-gallbladder damp-heat syndrome， syndrome of blood deficiency generating wind， and liver depression and spleen deficiency syndrome are the main TCM syndrome types in ICP， and the distribution of TCM syndromes is closely associated with clinical factors and perinatal outcomes， which provides a basis for precise TCM syndrome differentiation and individualized treatment.

Objective To evaluate the safety and feasibility of remote robot-assisted thoracoscopic surgery utilizing 5G technology. Methods Clinical data from five patients who underwent 5G remote robot-assisted thoracoscopic surgery at the Thoracic Surgery Center of Gansu Provincial People's Hospital from May to October 2024 were retrospectively analyzed. Results Finally, five patients were included. There were 2 males and 3 females at median age of 50 (42-63) years. All five surgeries (including 1 patient of lobectomy, 3 patients of partial lung resection and 1 patient of mediastinal lesion resection) were successfully completed without conversion to thoracotomy, complications, or mortality. The median intraoperative signal delay across the patients was 39 (37-42) ms. The median psychological load score for the surgeons was 9 (3-13). The median operation time was 100 (80-122) minutes with a median intraoperative blood loss of 100 (30-200) mL. Catheter drainage lasted a median of 4 (3-5) days, and the median drainage volumes on the first, second, and third postoperative day were 200 (100-300) mL, 150 (60-220) mL, and 80 (30-180) mL, respectively. The median postoperative hospital stay was 4 (3-7) days, and the median pain scores on the third postoperative day were 3 (1-4), 3 (0-3), and 1 (0-3), respectively. Conclusion 5G remote robot-assisted thoracoscopic surgery is safe and effective, with good surgical experience, smooth operation and small intraoperative delay.

OBJECTIVE To analyze chemical components of Yao ethnic medicine Pittosporum pauciflorum， establish its fingerprint and investigate the spectrum-effect relationship of its anti-inflammatory effect. METHODS UHPLC-Q-Orbitrap-MS technology was used to analyze the chemical components of P. pauciflorum （batch S6）. The fingerprints for 10 batches of P. pauciflorum from different producing areas in Guangxi Province （batches S1-S10） were established by HPLC， and similarity assessment and chemometric pattern recognition analysis were conducted. RAW264.7 inflammatory cell model was induced by lipopolysaccharide， and the anti-inflammatory activity of P. pauciflorum was investigated. Using inhibition rates of nitric oxide （NO）， tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6） and IL-1β as efficacy indicators， grey relational analysis and partial least squares regression analysis were adopted to evaluate the spectrum-effect relationship of the anti-inflammatory effect of P. pauciflorum. RESULTS There were 60 chemical components， including flavonoids， phenolic acids， lipids， etc.， identified in P. pauciflorum. The fingerprints for 10 batches of P. pauciflorum showed 14 common peaks，with similarity values ranging from 0.883 to 0.991. Three common peaks were assigned neochlorogenic acid （peak 5）， chlorogenic acid （peak 7）， and syringaldehyde （peak 10）. The classification results of the systematic clustering analysis and the principal component analysis were basically consistent. Batches S1 to S10 of P. pauciflorum significantly reduced the levels of NO， TNF-α， IL-6 （except for batch S5） and IL-1β in the cell supernatant （P＜0.05 or P＜0.01）. Inhibition rates of above inflammatory indexes were 10.26%-39.96%， 14.96%-31.36%， 1.38%-21.27%， 18.54%-28.00%， respectively. The contents of neochlorogenic acid， syringaldehyde， as well as the components corresponding to peaks 1， 3， 9， 12 and 14，exhibited a strong correlation with the anti-inflammatory effects of P. pauciflorum. CONCLUSIONS The present study has analyzed the chemical components of P. pauciflorum and established HPLC fingerprints for 10 batches of P. pauciflorum. Each batch of medicinal herbs demonstrates certain anti- inflammatory activities， among which neochlorogenic acid， syringaldehyde， and the components corresponding to peaks 1， 3， 9， 12 and 14 are likely to be the active anti-inflammatory components.

BACKGROUND: The available evidence regarding the benefits of percutaneous coronary intervention (PCI) on patients receiving dialysis with coronary artery disease (CAD) is limited and inconsistent. This study aimed to evaluate the association between PCI and clinical outcomes as compared with medical therapy alone in patients undergoing dialysis with CAD in China. METHODS: This multicenter, retrospective study was conducted in 30 tertiary medical centers across 12 provinces in China from January 2015 to June 2021 to include patients on dialysis with CAD. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Secondary outcomes included all-cause death, the individual components of MACE, and Bleeding Academic Research Consortium criteria types 2, 3, or 5 bleeding. Multivariable Cox proportional hazard models were used to assess the association between PCI and outcomes. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for potential between-group differences. RESULTS: Of the 1146 patients on dialysis with significant CAD, 821 (71.6%) underwent PCI. After a median follow-up of 23.0 months, PCI was associated with a 43.0% significantly lower risk for MACE (33.9% [ n  = 278] vs . 43.7% [ n  = 142]; adjusted hazards ratio 0.57, 95% confidence interval 0.45-0.71), along with a slightly increased risk for bleeding outcomes that did not reach statistical significance (11.1% vs . 8.3%; adjusted hazards ratio 1.31, 95% confidence interval, 0.82-2.11). Furthermore, PCI was associated with a significant reduction in all-cause and cardiovascular mortalities. Subgroup analysis did not modify the association of PCI with patient outcomes. These primary findings were consistent across IPTW, PSM, and competing risk analyses. CONCLUSION This study indicated that PCI in patients on dialysis with CAD was significantly associated with lower MACE and mortality when comparing with those with medical therapy alone, albeit with a slightly increased risk for bleeding events that did not reach statistical significance.
Humans ; Percutaneous Coronary Intervention/methods* ; Male ; Female ; Coronary Artery Disease/drug therapy* ; Retrospective Studies ; Renal Dialysis/methods* ; Middle Aged ; Aged ; China ; Proportional Hazards Models ; Treatment Outcome