Purpose: To evaluate the clinical outcomes of endovascular treatment for ruptured vertebral artery dissecting aneurysms (VADAs), with a focus on endovascular protocols tailored to different anatomical subtypes. Materials and Methods: We retrospectively analyzed 44 consecutive patients with ruptured VADAs treated from December 2014 to October 2024. Treatment strategies were guided by aneurysm location: parent artery occlusion (PAO) was used for lesions in non-dominant VAs, while stent-assisted coiling (SAC) reconstruction was used for aneurysms in dominant VAs. Patients were stratified by modified Rankin Scale (mRS) scores at 3-month follow-up (favorable: mRS 0–2; unfavorable: mRS 3–6). Results: All procedures were technically successful, including 12 single SAC, 13 overlapping SAC, and 19 with PAO (2 involving posterior inferior cerebellar artery preservation). Immediate complete occlusion was achieved in 50.0% of single SAC cases, 76.9% overlapping SAC, and 100% in the PAO group. Six (13.6%) procedure-related complications occurred, including 2 hemorrhagic and 4 ischemic events. Thirty patients (68.2%) had favorable outcomes, and the unfavorable outcomes group showed a higher incidence of ischemic events (P=0.012). An initial poor Hunt–Hess grade (≥IV) was an independent risk factor for unfavorable outcomes (odds ratio 6.35, 95% confidence interval 1.24–32.59; P=0.027). Angiographic follow-up was performed for 34 aneurysms, with complete occlusion achieved in 32 (94.1%); the remaining 2 patients were retreated. Conclusion Endovascular management is safe and effective for ruptured VADAs. Anatomical stratification—PAO for non-dominant VA lesions and SAC for dominant VA aneurysms—may help achieve favorable outcomes.

Objective To investigate the predictive value of D-dimer for in-hospital mortality and heart failure with reduced ejection fraction (HFrEF) in patients with acute myocardial infarction (AMI). Methods A total of 688 patients with AMI who were hospitalized at Zhongshan Hospital, Fudan University, from January 2020 to December 2023 were retrospectively enrolled. Demographic and clinical characteristics, laboratory findings, echocardiographic parameters, and in-hospital outcomes were collected. Patients were divided into four groups according to D-dimer quartiles, and trend tests were used to compare changes in each indicator with increasing D-dimer levels. The primary endpoints were in-hospital mortality and HFrEF. Multivariable logistic regression analysis was performed to assess the independent associations of D-dimer with in-hospital mortality and HFrEF. Receiver operating characteristic (ROC) curve analysis was used to evaluate its predictive performance. Results Differences and trend tests among four groups for age, creatinine, peak cardiac troponin T, N-terminal pro-brain natriuretic peptide (NT-proBNP), left ventricular ejection fraction, HFrEF incidence, and in-hospital mortality were statistically significant (P＜0.05). Multivariable logistic regression analysis showed that elevated D-dimer was associated with an increased risk of in-hospital mortality in patients with AMI (OR＝1.251, 95%CI 1.093–1.432, P＝0.001), and HFrEF (OR＝1.075, 95%CI 1.028–1.124, P＝0.002). ROC curve analysis showed that the area under the curve (AUC) of D-dimer for predicting in-hospital mortality and HFrEF were 0.871 and 0.716, respectively. At a cutoff value of 0.47 mg/L, the sensitivity and specificity of D-dimer in predicting HFrEF were 81.9% and 52.1%, respectively; at a cutoff value of 2.18 mg/L, the sensitivity and specificity of D-dimer in predicting in-hospital mortality were 63.6% and 93.8%, respectively. Restricted cubic spline analysis demonstrated significant non-linear associations between D-dimer and the risks of in-hospital mortality and HFrEF (P＜0.001). Conclusions Elevated D-dimer level is significantly associated with increased risks of in-hospital mortality and HFrEF in patients with AMI and shows acceptable predictive performance. As a simple and readily available laboratory biomarker, D-dimer may provide useful information for early risk stratification and clinical management in patients with AMI.

Objective To evaluate the association between self-reported neighborhood walkability environments and mortality in China.Methods The Prospective Urban Rural Epidemiology study in China(PURE-China)recruited 47 931 participants aged 35-70 from 12 provinces in China between 2005 and 2009.Neighborhood environmental indicators were collected using the Neighborhood Environment Walkability Scale(NEWS)questionnaire,with higher scores indicating better walkable environments.The primary outcomes were all-cause mortality and cardiovascular mortality,using Cox fragile model to evaluate the association between community walkability and outcomes,as well as exploring mediating pathways.Results Of 35 490 participants included in this study,60%were female,with a mean(SD)age of 51.5(9.6)years.The median follow-up was 11.7 years.This study found an association between higher community walkability score and reduced risk of all-cause mortality,with the total score(HR=0.85;95%CI,0.80-0.89),land-use mix(HR=0.84;95%CI,0.79-0.88),and crime safety(HR=0.84;95%CI,0.80-0.89)showing the most significant associations.NEWS can affect long-term adverse outcomes through lifestyle.Conclusions In the Chinese population,favorable community walkability is associated with lower all-cause mortality risk,which may support policymakers to take actions to mitigate the adverse effects of poor community en-vironments on health.

Advancements in artificial intelligence(AI)and emerging technologies are rapidly expanding the exploration of chemical space,facilitating innovative drug discovery.However,the transformation of novel compounds into safe and effective drugs remains a lengthy,high-risk,and costly process.Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development.Despite this need,no comprehensive tool currently supports systematic evaluation and efficient screening.Here,we present druglikeFilter,a deep learning-based framework designed to assess drug-likeness across four critical dimensions:1)physicochemical rule evaluated by systematic determination,2)toxicity alert investigated from multiple perspectives,3)binding affinity measured by dual-path analysis,and 4)compound synthesizability assessed by retro-route prediction.By enabling automated,multidimensional filtering of compound libraries,druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates,which can be freely accessed at https://idrblab.org/drugfilter/.

Objective:To investigate the effects and its related mechanism of placenta-derived mesenchymal stem cells(PMSCs)on the lipopolysaccharides(LPS)damaged astrocytes.Methods:Primary astrocytes were isolated from the cerebral cortex of neonatal rats.The expression of glial fibrillary acidic protein(GFAP)was identified using immu-nofluorescence staining to evaluate the purity of the primary astrocytes.PMSCs were cocultured with LPS-treated astro-cytes.The expression levels of factors related to inflammation including interleukin-1β(IL-1β),inducible nitric oxide synthase(iNOS),tumor necrosis factor-α(TNF-α),interleukin-6(IL-6),arginase-1(Arg-1),S100 calcium-bind-ing protein A10(S100A10),and TGF-β/Smad signaling pathway-related proteins such as transforming growth factor beta 1(TGF-β1),transforming growth factor beta type I receptor(TβRⅠ),transforming growth factor beta type II re-ceptor(TβRⅡ),phospho-Smad2 and phospho-Smad3(p-Smad2,p-Smad3)in astrocytes from each group were detec-ted using real time RT-PCR or Western blot techniques.Results:Astrocytes at the third passage exhibited an 80%pos-itivity rate for GFAP.After treated with 10 μg/ml LPS,the astrocytes expression levels of pro-inflammatory factors IL-1β,iNOS,IL-6,and TNF-α were significantly increased(P<0.05),while their expression levels of the anti-inflam-matory factors of Arg-1 and S100A10 were significantly decreased(P<0.05).Meanwhile,their expression levels of TGF-β/Smad signaling pathway related proteins of TGF-β1,TβRⅠ,TβRⅡ,p-Smad2 and Smad3 were increased(P<0.05).After the LPS damaged astrocytes were cocultured with PMSCs,their expression levels of pro-inflammatory factors IL-1β,iNOS,IL-6,and TNF-α were significantly decreased(P<0.05),while their expression levels of the anti-inflammatory factors of Arg-1 and S100A10 were significantly increased(P<0.05).Also,their expression levels of TGF-β/Smad signaling pathway related proteins of TGF-β1,TβRⅠ,TβRⅡ,p-Smad2,and Smad3 were decreased(P<0.05).Conclusion:PMSCs may inhibit the activation of A1 astrocytes through the TGF-β/Smad signaling path-way,by which reducing the astrocytic activation.

Objective:To investigate the impact of the size of the liver tumor diameter on the prognosis of patients with hepatitis B-related hepatocellular carcinoma (HCC)-inducing acute-on-chronic liver failure (HBV-HCC/ACLF).Method:A retrospective cohort study was conducted. Clinical data of patients with hepatitis B-related acute-on-chronic liver failure (HBV-ACLF) diagnosed according to the Asia-Pacific Association for the Study of the Liver (APASLT) guidelines who were admitted to the Fifth Medical Center of PLA General Hospital between January 2016 and January 2021 were collected. The patients were enrolled in the HBV-HCC/ACLF group (116 cases) and the HBV-ACLF group (348 cases). General information, medical history, biochemical parameters, complications, and liver cancer status were collected. Clinical data and prognoses at 28 days and 12 months of follow-up were compared between the two groups. Factors influencing mortality in the HBV-HCC/ACLF group were analyzed to determine the prognostic significance of tumor diameter. The t test, χ 2 test, and multivariate logistic regression analysis were used to analyze factors influencing mortality. Receiver operating characteristic (ROC) curves were used to assess the sensitivity and specificity of tumor diameter for 28-day prognosis, and Kaplan-Meier curves were used for survival analysis. Result:There were statistically significant differences in the 28-day mortality rate [(55.17%, 64/116) vs. (38.51%, 134/348)] and 12-month mortality rate [(78.45%, 91/116) vs. (55.75%, 194/348)] between the HBV-HCC/ACLF group and the HBV-ACLF group ( P<0.05). The area under the ROC curve analysis for HBV-HCC/ACLF patients indicated that the tumor diameter was 0.707 (95% CI: 0.615-0.788). The survival group (52 cases) and the mortality group (64 cases) were divided into the HBV-HCC/ACLF group based on 28-day mortality. Univariate analysis showed that the levels of aspartate aminotransferase (AST), alkaline phosphatase, creatinine, alpha-fetoprotein, white blood cell count, international normalized ratio, model for end-stage liver disease score, acute kidney injury (AKI), the occurrence of infections and complications, and others were all significantly higher in the mortality group compared to the survival group ( P<0.05).The mortality group had a larger tumor diameter than the survival group ( P<0.01). The incidence of portal vein tumor thrombosis and distant liver cancer metastasis was also higher in the survival group ( P<0.01). The mortality group had a higher rate of HCC-related minimally invasive treatment within three months before ACLF diagnosis than the survival group ( P<0.01). AST levels, infection, size of tumor diameter, and minimally invasive treatment within three months before onset were independent risk factors for 28-day mortality in the HBV-HCC/ACLF group. The optimal significant value for tumor diameter affecting prognosis was 3.3 cm, with a sensitivity of 67.19% and a specificity of 73.08%. Patients with liver tumor diameters >3.3 cm had significantly lower 28-day survival rates than those with a tumor diameter ≤3.3 cm [(24.56%, 14/57) vs. (64.41%, 38/59)]. Eighty case analyses had the same findings in patients who had not previously received any therapy. Conclusion:Patients with HBV-HCC/ACLF had a high 28-day mortality rate, and the size of the tumor diameter is important in determining the 28-day prognosis.

Objective:To investigate the relationship between thoracic aortic calcification (TAC) and autonomic nervous system (ANS) function in patients receiving continuous ambulatory peritoneal dialysis (CAPD).Methods:It was a cross-sectional study. The CAPD patients with dialysis duration >6 months between January and December 2022 were retrospectively enrolled. The baseline clinical data, heart rate variability (HRV) data such as standard deviation of all normal to normal intervals (SDNN), root mean square of successive differences between adjacent normal-to-normal intervals (RMSSD), high frequency (HF), very low frequency (VLF), low frequency (LF), LF/HF, acceleration capacity (AC) and deceleration capacity (DC), and skin sympathetic nerve activity (SKNA) were collected. TAC was defined as TAC score (TACS) >100 AU. The patients were divided into TACS >100 AU group and TACS≤100 AU group based on whether the thoracic aorta was calcified. The differences of those data between the two groups were compared. Logistic regression model was used to analyze the related factors of TAC. Spearman correlation analysis method was used to analyze the correlation between peripheral blood neuropeptide Y, ANS parameters, average amplitude SKNA (aSKNA) and TACS.　Cox regression model was used to analyze the risk factors of all-cause mortality in patients with CAPD.Results:The study included 106 CAPD patients with 50 males (47.2%), age of (46.04±11.10) years and dialysis duration of (41.55±30.52) months. TACS>100 AU group exhibited significantly lower heart rate ( t=2.015, P=0.046), DC ( t=2.131, P=0.035), LF/HF ( Z=3.332, P<0.001) and ln(LF/HF) ( t=3.326, P=0.001), and higher AC ( t=-2.392, P=0.019) than TACS≤100 AU group. Multivariate logistic regression analysis results showed that after adjusting for age and eosinophil count, lnVLF ( OR=0.66, 95% CI 0.45-0.98, P=0.038), lnLF ( OR=0.69, 95% CI 0.49-0.97, P=0.032), DC ( OR=0.79, 95% CI 0.64-0.99, P=0.039) and AC ( OR=1.32, 95% CI 1.04-1.68, P=0.021) were independently correlated with the risk of TAC. Spearman correlation analysis showed that neuropeptide Y level in peripheral blood was correlated with aSKNA ( r=0.23, P=0.017), lnSDNN ( r=-0.20, P=0.036) and TACS ( r=0.19, P=0.048). During the follow-up period of (25.8±4.2) months, 5 patients (4.72%) died, including 1 patient in the TACS≤100 AU group and 4 patients in the TACS>100 AU group. Compared with the survival group, the death group had higher TACS ( Z=-2.262, P=0.024) and lower LF/HF ( Z=-2.750, P=0.006). Cox regression analysis results showed that increased ln(LF/HF) was an independent influencing factor for all-cause mortality in CAPD patients ( HR=0.22, 95% CI 0.05-0.83, P=0.026). Conclusions:HRV parameters (lnVLF, lnLF, AC and DC) of CAPD patients are independently associated with TAC. The dysfunction of ANS in CAPD patients (especially the decreased vagus nerve activity) may promote TAC.

OBJECTIVES: The application of photodynamic therapy in solid tumors has attracted increasing attention in recent years, and the efficiency of photosensitizers is a crucial determinant of therapeutic efficacy. This study aims to evaluate the cytotoxic effects of a novel photosensitizer, PEG-MTPABZ-PyC, in photodynamic therapy against gastric cancer cells. METHODS: Gastric cancer MKN45 cells were treated with PEG-MTPABZ-PyC. A high-content live-cell imaging system was used to assess the cellular uptake kinetics and subcellular localization of the photosensitizer. The cytotoxic effects of PEG-MTPABZ-PyC-mediated photodynamic therapy were examined using the cell counting kit-8 (CCK-8) assay and flow cytometry, while the intrinsic cytotoxicity of the photosensitizer alone was verified by the CCK-8 assay. Intracellular reactive oxygen species (ROS) generation after photodynamic therapy was detected using 2'-7'-dichlorodihydrofluorescein diacetate (DCFH-DA). RESULTS: PEG-MTPABZ-PyC alone exhibited no cytotoxicity toward MKN45 cells, indicating excellent cytocompatibility. The compound efficiently entered cells within 6 hours and localized predominantly in lysosomes. Upon light irradiation, PEG-MTPABZ-PyC-mediated photodynamic therapy induced significant cytotoxicity compared with the control group (P<0.05) and generated abundant intracellular ROS. CONCLUSIONS The novel photosensitizer PEG-MTPABZ-PyC demonstrates potent photodynamic cytotoxicity against gastric cancer cells, showing promising potential for further development in gastric cancer photodynamic therapy.
Humans ; Stomach Neoplasms/drug therapy* ; Photochemotherapy/methods* ; Photosensitizing Agents/pharmacology* ; Cell Line, Tumor ; Polyethylene Glycols/chemistry* ; Reactive Oxygen Species/metabolism* ; Mesoporphyrins/pharmacology*

Alzheimer's disease (AD) is a common neurodegenerative disorder among the elderly, and BuChE has emerged as a potential therapeutic target. In this study, we reported the development of compound 8e, a selective reversible BuChE inhibitor (eqBuChE IC₅₀ = 0.049 μmol/L, huBuChE IC₅₀ = 0.066 μmol/L), identified through extensive virtual screening and lead optimization. Compound 8e demonstrated favorable blood-brain barrier permeability, good drug-likeness property and pronounced neuroprotective efficacy. Additionally, 8e exhibited significant therapeutic effects in zebrafish AD models and scopolamine-induced cognitive impairments in mice. Further, 8e significantly improved cognitive function in APP/PS1 transgenic mice. Proteomics analysis demonstrated that 8e markedly elevated the expression levels of very low-density lipoprotein receptor (VLDLR), offering valuable insights into its potential modulation of the Reelin-mediated signaling pathway. Thus, compound 8e emerges as a novel and potent BuChE inhibitor for the treatment of AD, with significant implications for further exploration into its mechanisms of action and therapeutic applications.

Advancements in artificial intelligence (AI) and emerging technologies are rapidly expanding the exploration of chemical space, facilitating innovative drug discovery. However, the transformation of novel compounds into safe and effective drugs remains a lengthy, high-risk, and costly process. Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development. Despite this need, no comprehensive tool currently supports systematic evaluation and efficient screening. Here, we present druglikeFilter, a deep learning-based framework designed to assess drug-likeness across four critical dimensions: 1) physicochemical rule evaluated by systematic determination, 2) toxicity alert investigated from multiple perspectives, 3) binding affinity measured by dual-path analysis, and 4) compound synthesizability assessed by retro-route prediction. By enabling automated, multidimensional filtering of compound libraries, druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates, which can be freely accessed at https://idrblab.org/drugfilter/.