Background: and Purpose Vertebrobasilar fusiform aneurysms (VBFAs) carry substantial morbidity and mortality, but optimal management for unruptured VBFAs remains unclear. We compared the safety and efficacy of conservative management (CM), stent-assisted coiling (SAC), and flow diverters (FDs) in patients with unruptured VBFAs, focusing on long-term prognosis. Methods: This study included data from a nationwide Chinese cohort of patients with vertebrobasilar dissecting aneurysms. Inverse probability of treatment weighting (IPTW) balanced confounders across groups. The primary outcome was poor prognosis (modified Rankin Scale score >2). Secondary outcomes included aneurysm rupture, ischemic stroke, compression symptoms, and VBFA-related deaths. Logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup and sensitivity analyses were performed. Results: Among 1,115 patients with unruptured VBFAs, 838 (median age, 54 years; 655 men) were included. After IPTW, baseline characteristics were balanced. Median follow-up was 54 months. FD was associated with a lower risk of poor prognosis than CM (OR, 0.48 [95% CI, 0.30 to 0.77]; p=0.002), with no difference between CM and SAC. FD also reduced aneurysm rupture (OR, 0.20 [95% CI, 0.07 to 0.60]; p=0.004) and compression symptoms (OR, 0.30 [95% CI, 0.13 to 0.68]; p=0.004) versus CM. Time-to-event analyses further revealed significant differences in vertebral artery lesions and Type I–II VBFAs, whereas no significant differences were observed in basilar or vertebrobasilar junction lesions or in Type III–IV VBFAs. Conclusions Compared with CM, FD was associated with improved long-term outcomes in unruptured VBFAs, particularly in vertebral artery lesions and Type I–II VBFAs, although residual confounding cannot be excluded.

ObjectiveTo investigate the effectiveness and safety of coblopasvir hydrochloride combined with sofosbuvir （CLP/SOF） in the treatment of patients with chronic hepatitis C （CHC） and those with genotype 3b in terms of virologic response rate， changes in liver and renal function parameters， and adverse events， and to provide a reference for clinical diagnosis and treatment. MethodsThe patients with CHC who were admitted to Maanshan Fourth People’s Hospital from March 1， 2023 to July 31， 2024 were enrolled and treated with CLP/SOF for a course of 12 weeks. Follow-up assessments were conducted at weeks 4， 8， and 12 of treatment and at 12 weeks after the end of treatment， and related data were collected， including HCV RNA， routine blood test results， and liver and renal function parameters. Sustained virologic response at 12 weeks after treatment （SVR12） and safety profile were evaluated. The Friedman test was used for comparison of liver and renal function parameters， routine blood test results， and liver fibrosis score at different time points. ResultsA total of 107 CHC patients treated with CLP/SOF were enrolled， with an age of 22 — 92 years， and there were 55 male patients. The predominant genotypes were 1b （46.73%） and 3b （28.97%）. Comorbidities mainly included liver cirrhosis （15 patients）， fatty liver disease （27 patients）， syphilis （15 patients）， HBV infection （8 patients）， and HIV infection （2 patients）. The overall SVR12 rate was 100% （107/107）， with an SVR12 rate of 100% for subgroups with different genotypes and those with liver cirrhosis， fatty liver disease， syphilis， HBV infection， or HIV infection. The patients with HCV genotype 3b comorbid with liver cirrhosis， fatty liver disease， syphilis， HBV infection， hypertension or diabetes also achieved an SVR12 rate of 100%. After CLP/SOF treatment， the patients showed significant reductions in the levels of the liver function parameters alanine aminotransferase， aspartate aminotransferase， total bilirubin， and hemoglobin （all P<0.001） and significant reductions in the liver fibrosis scores fibrosis-4 and aspartate aminotransferase-to-platelet ratio index （both P<0.001）. The median creatinine level was 66 μmol/L before treatment， which decreased to 52 μmol/L at week 12 of treatment （P<0.001）. No adverse events were reported. ConclusionPatients with CHC achieve a high SVR12 rate and significant improvements in liver function parameters and liver fibrosis markers after treatment with the CLP/SOF regimen， and this regimen has no significant impact on renal function and shows a favorable safety profile. Therefore， it holds promise for clinical application.

This study identified blood-entering components of Anshen Dropping Pills and explored their anti-insomnia effects and mechanisms. The main blood-entering components of Anshen Dropping Pills were detected and identified by UPLC-Q-TOF-MS/MS. The rationality of the formula was assessed by using enrichment analysis based on the relationship between drugs and symptoms, and core targets of its active components were selected as the the potential anti-insomnia targets of Anshen Dropping Pills through network pharmacology analysis. Furthermore, protein-protein interaction(PPI) network, Gene Ontology(GO) enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis were performed on the core targets. An active component-core target network for Anshen Dropping Pills was constructed. Finally, the effects of low-, medium-, and high-dose groups of Anshen Dropping Pills on sleep episodes, sleep duration, and sleep latency in mice were measured by supraliminal and subliminal pentobarbital sodium experiments. Moreover, total scores of the Pittsburgh sleep quality index(PSQI) scale was used to evaluate the changes before and after the treatment with Anshen Dropping Pills in a clinical study. The enrichment analysis based on the relationship between drugs and symptoms verified the rationality of the Anshen Dropping Pills formula, and nine blood-entering components of Anshen Dropping Pills were identified by UPLC-Q-TOF-MS/MS. The network proximity revealed a significant correlation between eight components and insomnia, including magnoflorine, liquiritin, spinosin, quercitrin, jujuboside A, ginsenoside Rb_3, glycyrrhizic acid, and glycyrrhetinic acid. Network pharmacology analysis indicated that the major anti-insomnia pathways of Anshen Dropping Pills involved substance and energy metabolism, neuroprotection, immune system regulation, and endocrine regulation. Seven core genes related to insomnia were identified: APOE, ALB, BDNF, PPARG, INS, TP53, and TNF. In summary, Anshen Dropping Pills could increase sleep episodes, prolong sleep duration, and reduce sleep latency in mice. Clinical study results demonstrated that Anshen Dropping Pills could decrease total scores of PSQI scale. This study reveals the pharmacodynamic basis and potential multi-component, multi-target, and multi-pathway effects of Anshen Dropping Pills, suggesting that its anti-insomnia mechanisms may be associated with the regulation of insomnia-related signaling pathways. These findings offer a theoretical foundation for the clinical application of Anshen Dropping Pills.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Tandem Mass Spectrometry/methods* ; Sleep Initiation and Maintenance Disorders/metabolism* ; Mice ; Network Pharmacology ; Male ; Chromatography, High Pressure Liquid ; Humans ; Protein Interaction Maps/drug effects* ; Sleep/drug effects* ; Female ; Adult

Based on ultra-performance liquid chromatography-quadrupole-electrostatic field Orbitrap high-resolution mass spectrometry(UPLC-Q-Orbitrap HRMS) technology and molecular docking, the bitter-tasting substances(hereafter referred to as "bitter substances") in Cistanche deserticola extract were investigated, and the bitter taste and efficacy relationship was explored to lay the foundation for future research on de-bittering and taste correction. Firstly, UPLC-Q-Orbitrap HRMS was used for the qualitative analysis of the constituents of C. deserticola, and 69 chemical components were identified. These chemical components were then subjected to molecular docking with the bitter taste receptor, leading to the screening of 20 bitter substances, including 6 phenylethanol glycosides, 5 flavonoids, 3 phenolic acids, 2 cycloalkenyl ether terpenes, 2 alkaloids, and 2 other components. Nine batches of fresh C. deserticola samples were collected from the same origin but harvested at different months. These samples were divided into groups based on harvest month and plant part. The bitterness was quantified using an electronic tongue, and the content of six potential bitter-active compounds(pineconotyloside, trichothecene glycoside, tubulin A, iso-trichothecene glycoside, jinshihuaoside, and jingnipinoside) was determined by high-performance liquid chromatography(HPLC). The total content of phenylethanol glycosides, polysaccharides, alkaloids, flavonoids, and phenolic acids was determined using UV-visible spectrophotometry. Chemometric analyses were then conducted, including Pearson's correlation analysis, gray correlation analysis, and orthogonal partial least squares discriminant analysis(OPLS-DA), to identify the bitter components in C. deserticola. The results were consistent with the molecular docking findings, and the two methods mutually supported each other. Finally, network pharmacological predictions and analyses were performed to explore the relationship between the targets of bitter substances and their efficacy. The results indicated that key targets of the bitter substances included EGFR, PIK3CB, and PTK2. These substances may exert their bitter effects by acting on relevant disease targets, confirming that the bitter substances in C. deserticola are the material basis of its bitter taste efficacy. In conclusion, this study suggests that the phenylethanol glycosides, primarily pineconotyloside, mauritiana glycoside, and gibberellin, are the material basis for the "bitter taste" of C. deserticola. The molecular docking technique plays a guiding role in the screening of bitter substances in traditional Chinese medicine(TCM). The bitter substances in C. deserticola not only contribute to its bitter taste but also support the concept of the "taste-efficacy" relationship in TCM, providing valuable insights and references for future research in this area.
Molecular Docking Simulation ; Taste ; Chromatography, High Pressure Liquid ; Cistanche/chemistry* ; Drugs, Chinese Herbal/chemistry* ; Humans ; Mass Spectrometry

Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires

Fangcang shelter hospitals are modular, rapidly deployable facilities that play a vital role in pandemic response by providing centralized isolation and basic medical care for large patient populations. Artificial intelligence (AI) has the potential to transform Fangcang shelter hospitals into intelligent, responsive systems that are capable of significantly improving emergency preparedness, operational efficiency, and patient outcomes. Key application areas include site selection and design optimization, clinical decision support, AI-assisted clinical documentation and patient engagement, intelligent robotics, and operational management. However, realizing AI's full potential requires overcoming several challenges, including limited data accessibility, privacy and governance concerns, inadequate algorithmic adaptability in dynamic emergency settings, insufficient transparency and accountability in AI-driven decisions, fragmented system architectures due to proprietary formats, high costs disproportionate to the temporary nature of Fangcang shelter hospitals, and hardware reliability in austere environments. Addressing these challenges demands standardized data-sharing frameworks, development of explainable and robust AI algorithms, clear ethical and legal oversight, interoperable modular system designs, and active collaboration among multidisciplinary stakeholders.
Artificial Intelligence ; Humans ; Emergency Shelter ; China ; Hospitals ; COVID-19

OBJECTIVE: To explore the clinical characteristics, therapeutic responses and prognostic features of E2A-PBX1 fusion gene for childhood acute lymphoblastic leukemia (ALL). METHODS: A total of 837 pediatric patients with ALL who were initially diagnosed in our hospital from July 2010 to November 2017 were retrospectively analyzed, 48 children with positive E2A-PBX1 fusion gene were detected by the real-time quantitative PCR techniques and their data were retrospectively collected for analysis. RESULTS: Among 48 cases with positive E2A-PBX1 fusion gene, there were 26 males and 22 females, with onset ages ranging from 9 months to 13 years old. There were 2 cases (4.2%) in the low-risk group, 32 cases (66.7%) in the intermediate-risk group, and 14 cases (29.1%) in the high-risk group at initial diagnosis. The white blood cell (WBC) counts of 25 cases (53.2%) at initial diagnosis were <50×10⁹/L, 11 cases (23.4%) were (50-100)×10⁹/L, and 11 cases (23.4%) ≥100×10⁹/L. The main immunophenotype was common-B ALL (44 cases, 91.7%). Other leukemia fusion genes such as BCR-ABL1, MLL-AF4, and TEL-AML1 were not observed in this cohort of patients. All patients received the treatment of NPCLC-ALL2008 protocol, and 5 cases (10.4%) occurred poor prednisone response. All the 48 cases achieved complete remission (CR) after the induction treatments. The last follow-up date was April 30, 2023. A total of 5 children relapsed, including 1 case with intermediate risk and 4 cases with high risk. The recurrence rate in the high-risk group was significantly higher than that in the intermediate- and low-risk groups (both P < 0.05). Most relapsed children had elevated WBC counts at initial diagnosis. Among them, WBC counts ≥100×10⁹/L was observed in 4 cases. The recurrence rate among children with WBC counts ≥100×10⁹/L was significantly higher than that with WBC counts <100×10⁹/L (P < 0.01). Four deaths occurred in this cohort, of which 3 died of leukemia recurrence. The 10-year event-free survival rate and 10-year overall survival rate of the 48 children with positive E2A-PBX1 fusion gene were 87.5%±4.8% and 91.7%±4.0%, respectively. CONCLUSION In ALL children with positive E2A-PBX1 fusion gene, those with elevated WBC counts and high risk stratification at initial diagnosis are more likely to experience recurrence. Recurrence is the main cause of death in this group. It is suggested that such kind of children receive more intensive chemotherapy or undergo hematopoietic stem cell transplantation as early as possible to further improve prognosis.
Humans ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/diagnosis* ; Oncogene Proteins, Fusion/genetics* ; Prognosis ; Child ; Male ; Female ; Child, Preschool ; Adolescent ; Retrospective Studies ; Infant ; Homeodomain Proteins

The anti-counterfeiting application of three-color fluorescent carbon dots(CDs)in high-quality inkjet printing was studied.Blue,green and red fluorescent CDs were synthesized by solvothermal method using three kinds of isomers of phenylenediamine as precursor,and ethanol-glycerol mixture as solvent.The morphology,composition,structure,and optical properties were characterized.Blue,green and red fluorescent inks were then prepared by diluting CDs with water.The dilution ratio,excitation light source and filtering method were also optimized.The optimal dilution ratio of blue,green and red fluorescent ink was 5,5 and 20,respectively.Under 365,415 and 450 nm light excitation,bright blue,green and red fluorescence from above inks could be observed by using a blue,green and red filter,respectively.These fluorescent inks were finally used for high-quality inkjet printing through monochrome printing mode and polychrome printing mode.In addition,the sensitivity and contrast of printing were quantitatively investigated.The series of three-color fluorescent inks possessed great prospects in ordinary and invisible fluorescent anti-counterfeiting application.

Objective:To develop a treatment-related quality of life scale for Chinese patients with multiple myeloma (MM) and to test its reliability and validity.Methods:The initial scale was constructed through a literature search, Delphi expert correspondence, and cognitive testing. This study conducted a preliminary survey of 379 patients with MM and a formal survey of 865 patients from the hematology departments of 155 hospitals nationwide from February 2024 to March 2024. The final scale was obtained after conducting item analysis and reliability and validity tests on the initial scale.Results:The constructed scale contains 36 items covering six domains: physiological, psychological, social, treatment side effects, general health, and others. In the preliminary survey, the Cronbach’s alpha coefficient of each item ranged from 0.597 to 0.939, and the test-retest reliability was 0.747 ( P<0.001). Exploratory factor analysis extracted eight common factors with a cumulative variance contribution of 60.058%. In the formal survey, the Cronbach’s alpha coefficient of each item ranged from 0.484 to 0.930, and the test-retest reliability was 0.835 ( P<0.001). Confirmatory factor analysis revealed a comparative fit index of 0.750, a root-mean-square error of approximation of 0.090, and a root-mean-square residual of 0.067. Conclusion:The treatment-related quality of life scale for Chinese patients with MM designed in this study exhibited good reliability and validity, reflecting the impact of treatment on the quality of life of patients. This scale can provide a reference to clinicians for assessing the disease status of patients.

In recent years, the deep integration of artificial intelligence (AI) into medical education has created new opportunities for teaching Biochemistry and Molecular Biology, while also offering innovative solutions to the pedagogical challenges associated with protein structure and function. Focusing on the case of anaplastic lymphoma kinase (ALK) gene mutations in non-small-cell lung cancer (NSCLC), this study integrates AI into case-based learning (CBL) to develop an AI-CBL hybrid teaching model. This model features an intelligent case-generation system that dynamically constructs ALK mutation scenarios using real-world clinical data, closely linking molecular biology concepts with clinical applications. It incorporates AI-powered protein structure prediction tools to accurately visualize the three-dimensional structures of both wild-type and mutant ALK proteins, dynamically simulating functional abnormalities resulting from conformational changes. Additionally, a virtual simulation platform replicates the ALK gene detection workflow, bridging theoretical knowledge with practical skills. As a result, a multidimensional teaching system is established—driven by clinical cases and integrating molecular structural analysis with experimental validation. Teaching outcomes indicate that the three-dimensional visualization, dynamic interactivity, and intelligent analytical capabilities provided by AI significantly enhance students’ understanding of molecular mechanisms, classroom engagement, and capacity for innovative research. This model establishes a coherent training pathway linking “fundamental theory-scientific research thinking-clinical practice”, offering an effective approach to addressing teaching challenges and advancing the intelligent transformation of medical education.