ObjectiveTo investigate the association between noninvasive liver fibrosis markers and carotid plaque （CP） in patients with lean metabolic dysfunction-associated fatty liver disease （MAFLD）， and to provide a basis for screening high-risk populations. MethodsA total of 957 patients with lean MAFLD who underwent physical examination in Subei People’s Hospital from January 2021 to June 2023 was enrolled as the observation cohort， with the presence or absence of CP as the outcome， and fibrosis-4 （FIB-4） index and nonalcoholic fatty liver disease fibrosis score （NFS） were used to assess liver fibrosis degree. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. The multivariate logistic regression analysis， the restricted cubic spline analysis， the receiver operating characteristic curve， and the mediation effect analysis were used to investigate the association between liver fibrosis degree and CP. ResultsThe prevalence rate of CP was 36.6% in the lean MAFLD population. Compared with the non-CP group（n=607）， the CP group （n=350） had a significantly higher proportion of male patients， a significantly higher proportion of patients with smoking/diabetes/hypertension， and significantly higher levels of age， creatinine， blood urea nitrogen， triglycerides， fasting blood glucose， aspartate aminotransferase， aspartate aminotransferase/alanine aminotransferase ratio， NFS， and FIB-4 index， as well as significantly lower levels of platelet count and albumin （all P<0.05）. The multivariate logistic regression analysis showed that after adjustment for confounding factors， FIB-4 index （odds ratio［OR］=2.979， 95% confidence interval［CI］：2.141 — 4.219， P<0.001） and NFS （OR=1.747， 95%CI： 1.499 — 2.046， P<0.001） were positively correlated with CP. Both FIB-4 index and NFS had a good value in predicting CP. Hypertension had a significant indirect effect on the prevalence rate of CP through its impact on liver fibrosis markers， and its mediating effect accounted for 39.5% — 40.8% of the total effect （P<0.001）. ConclusionIn patients with lean MAFLD， NFS and FIB-4 index are significantly positively correlated with the prevalence rate of CP， and they can be used as potential epidemiological predictive indicators. Liver fibrosis markers may play a mediating role in the association between hypertension and CP. Interventions targeting hypertension and liver fibrosis markers may help to prevent and delay the progression of CP.

ObjectiveTo investigate the association of liver fibrosis scores and inflammation markers with gallstones in patients with metabolic dysfunction-associated fatty liver disease （MAFLD）， as well as the mediating role of liver fibrosis scores in the relationship between inflammation markers and gallstones. MethodsA total of 14 567 patients who received physical examination and were diagnosed with MAFLD in Subei People’s Hospital from January 2014 to June 2023 were enrolled in this study， and according to the results of abdominal color Doppler ultrasound， they were divided into gallstone group with 1 724 patients and non-gallstone group with 12 843 patients. Related clinical data were collected from all patients， including demographic data， medical history， family history， physical examination， Color Doppler ultrasound， and biochemical parameters. The biomarkers associated with metabolic disorders and insulin resistance included triglyceride-glucose index （TyG）， TyG-body mass index （BMI） index， atherogenic index of plasma （AIP）， and non-high-density lipoprotein cholesterol-to-high-density lipoprotein cholesterol ratio （NHHR）； the biomarkers associated with inflammation and nutritional status included neutrophil-to-lymphocyte ratio （NLR）， neutrophil percentage-to-albumin ratio （NPAR）， and monocyte-to-lymphocyte ratio （MLR）； the biomarkers for assessing liver fibrosis degree and liver function included albumin-bilirubin （ALBI） score， NAFLD fibrosis score （NFS）， fibrosis-4 （FIB-4） index， and aspartate aminotransferase-to-platelet ratio index （APRI）. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， while the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. Multivariate Logistic regression analysis， restricted cubic spline analysis， and mediating effect analysis were used to assess the association of liver fibrosis markers and inflammation markers with the risk of gallstones. ResultsThe prevalence rate of gallstones was 11.8% among the MAFLD patients. There were significant differences between the gallstone group and the non-gallstone group in sex， age， smoking history， diabetes， hypertension， lymphocytes， platelets， glucose， albumin， serum uric acid， alanine aminotransferase， aspartate aminotransferase， red blood cell， NLR， NPAR， MLR， NFS， FIB-4 index， and ALBI score （all P<0.05）. The multivariate Logistic regression analysis showed that NLR （odds ratio ［OR］=1.091， 95% confidence interval ［CI］： 1.028　—　1.160， P<0.05）， NPAR （OR=1.073， 95%CI： 1.042　—　1.105， P<0.05）， MLR （OR=1.142， 95%CI： 1.057　—　1.232， P<0.05）， NFS （OR=1.239， 95%CI： 1.190　—　1.291， P<0.05）， and FIB-4 index （OR=1.326， 95%CI： 1.241　—　1.417， P<0.05） were influencing factors for the prevalence rate of gallstones. The restricted cubic spline analysis showed a significant non-linear association between NFS/FIB-4 index and the risk of gallstone （non-linear P<0.05）. The mediating effect analysis further showed that the association of NLR， MLR， and NPAR with gallstones was partially mediated by NFS or FIB-4 index， with a mediating effect accounting for 36.79%、28.09%、29.67% and 18.31%、17.70、11.57%， respectively. ConclusionNFS and FIB-4 index have a non-linear association with the prevalence rate of gallstones in MAFLD patients， and they also mediate the association of NLR， NPAR， and MLR with the risk of gallstone.

ObjectiveTo investigate the present situation of input, output, outcome and impact of all registered community-based rehabilitation stations in Inner Mongolia in China, and analyze how the input predict the output, outcome and impact. MethodsFrom March 1st to April 30th, 2025, a questionnaire survey was conducted on all registered community-based rehabilitation stations in Inner Mongolia, covering four dimensions: input, output, outcome and impact. A total of 1 365 questionnaires were distributed. The input included four items: laws and policies, human resources, equipment and facilities, and rehabilitation information management. The output included two items: technical paths and benefits/effectiveness. The outcome included three items: coverage rates, rehabilitation interventions and functional results. The impact included two items: health and sustainability. Each item contained several questions, all of which were described in a positive way. Each question was scored from one to five. A lower score indicated that the situation of the community-based rehabilitation station was more in line with the content described in the question. Regression analysis was performed using the total score of each item of input dimension as independent variables, and the total scores of the output, outcome and impact dimensions as dependent variables. ResultsA total of 1 262 valid questionnaires were collected. The mean values of input, output, outcome and impact of community-based rehabilitation stations were 1.827 to 1.904, with coefficient of variation of 45.892% to 49.239%. The regression analysis showed that, rehabilitation information management, human resources, and laws and policies significantly predicted the output dimension (R² = 0.910, P < 0.001). Meanwhile, all four items in the input dimension predicted both the outcome (R² = 0.850, P < 0.001) and impact dimensions (R² = 0.833, P < 0.001). ConclusionInput, output, outcome and impact of the community-based rehabilitation stations in Inner Mongolia were generally in line with the content of the questions, although some imbalances were observed. Additionally, the input of community-based rehabilitation stations could significantly predict their output, outcome and impact.

[摘 要] 目的：探讨miR-433对结直肠癌（CRC）细胞干细胞特性及5-氟尿嘧啶（5-FU）耐药性的影响，并阐明其潜在的分子调控机制。方法： 建立5-FU耐药的HCT-116细胞株。采用RT-qPCR和WB法检测miR-433及干细胞特性标志物（SOX2、OCT4、Nanog）的表达。通过双萤光素酶报告基因实验、免疫荧光和核质分离实验验证miR-433与靶基因YAP1的关系及YAP1对其亚细胞定位的影响。通过拯救实验确认miR-433/YAP1轴的功能。利用CCK-8法检测细胞对5-FU的敏感性。结果： 与亲代HCT-116/P细胞相比，耐药的HCT-116细胞株中miR-433表达显著下调（P < 0.05），而干细胞特性标志物（SOX2、OCT4、Nanog）表达上调（P < 0.05）。过表达miR-433能够抑制干细胞标志物的表达，并直接靶向YAP1，阻碍其核定位（P < 0.05）。恢复YAP1的表达能够部分逆转miR-433对干细胞标志物的抑制作用（P < 0.05）。功能上，上调miR-433显著增强了CRC细胞对5-FU的敏感性，而此效应同样可被YAP1的重新表达所削弱（P < 0.05）。结论： miR-433通过直接靶向YAP1通路，抑制CRC细胞的干细胞特性相关分子表型，并增强其对化疗药物的敏感性。miR-433/YAP1轴可能成为克服CRC 5-FU耐药的潜在新靶点。

Bronchiolar adenoma (BA) is a rare type of lung tumor characterized by bilayered epithelial cells having a continuous basal layer and a luminal layer. It resembles mucinous adenocarcinoma (MA) on frozen section, with difficulty in distinguishing the basal layer. Immunohistochemistry is the best choice for verifying the diagnosis. This study aimed to comprehensively characterize three cases of BA-combined carcinoma using clinical, histopathological, and genetic features. BA and carcinoma sections were subjected to next-generation sequencing, respectively. It was hypothesized that while different mutation forms matched different regions, BA and lung adenocarcinoma shared the same gene mutation when they co-occurred in the same location. BA with extensive carcinoma is extremely rare and presents diagnostic challenges due to its overlap with conditions such as MA. Because of its distinctive morphological characteristics, BA may be regarded as a low-grade malignancy, particularly during a confusing evaluation. A multifaceted examination of clinical, radiological, immunohistochemical, and genetic data is necessary for an accurate diagnosis.

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.

Objective To investigate the effect of Didang Decoction-medicated serum on autophagy in high glucose(HG)-induced rat glomerular endothelial cells(RGECs)and explore the pathway that mediates its effect.Methods Primary RGECs were isolated and cultured using sequential sieving combined with collagenase digestion,followed by identification using immunofluorescence assay for factor Ⅷ.High glucose medium was used to induce RGECs to simulate a diabetic environment,and the effects of Didang Decoction-medicated serum and 3-MA(an autophagy inhibitor),either alone or in combination,on autophagy of HG-exposed cells were evaluated by observing autophagic vacuoles using monodansylcadaverine(MDC)staining.RT-qPCR and Western blotting were employed to measure mRNA and protein expression levels of Beclin-1,p62,LC3B,p-PI3K,p-Akt,and p-mTOR.Results Compared with the control cells,the HG-exposed RGECs showed significantly reduced autophagic fluorescence intensity,decreased Beclin-1 mRNA expression,increased p62 mRNA expression,downregulated Beclin-1 protein and LC3-Ⅱ/Ⅰ ratio,and upregulated p62,p-PI3K,p-Akt,and p-mTOR protein levels.Didang Decoction-medicated serum significantly enhanced autophagic fluorescence intensity in HG-exposed cells,increased Beclin-1 mRNA expression,decreased p62 mRNA expression,upregulated Beclin-1 protein,and downregulated p62,p-PI3K,p-Akt,and p-mTOR protein levels.Conclusion Didang Decoction-medicated serum enhances autophagy in HG-exposed RGECs by regulating the PI3K/Akt/mTOR signaling pathway,which sheds light on a new therapeutic strategy for diabetic nephropathy.

Numerous c-mesenchymal-epithelial transition(c-MET)inhibitors have been reported as potential anticancer agents.However,most fail to enter clinical trials owing to poor efficacy or drug resistance.To date,the scaffold-based chemical space of small-molecule c-MET inhibitors has not been analyzed.In this study,we constructed the largest c-MET dataset,which included 2,278 molecules with different struc-tures,by inhibiting the half maximal inhibitory concentration(IC50)of kinase activity.No significant differences in drug-like properties were observed between active molecules(1,228)and inactive mol-ecules(1,050),including chemical space coverage,physicochemical properties,and absorption,distri-bution,metabolism,excretion,and toxicity(ADMET)profiles.The higher chemical diversity of the active molecules was downscaled using t-distributed stochastic neighbor embedding(t-SNE)high-dimensional data.Further clustering and chemical space networks(CSNs)analyses revealed commonly used scaffolds for c-MET inhibitors,such as M5,M7,and M8.Activity cliffs and structural alerts were used to reveal"dead ends"and"safe bets"for c-MET,as well as dominant structural fragments consisting of pyr-idazinones,triazoles,and pyrazines.Finally,the decision tree model precisely indicated the key structural features required to constitute active c-MET inhibitor molecules,including at least three aromatic het-erocycles,five aromatic nitrogen atoms,and eight nitrogen-oxygen atoms.Overall,our analyses revealed potential structure-activity relationship(SAR)patterns for c-MET inhibitors,which can inform the screening of new compounds and guide future optimization efforts.

Objective:To investigate the value of breast MRI imaging features combined with serological indicators in predicting the metastatic burden of axillary lymph nodes (ALN) in breast cancer.Methods:This cross-sectional study retrospectively enrolled 146 female patients diagnosed with breast cancer at the First Affiliated Hospital of Shihezi University from January 2020 to November 2024. Patients′ pre-treatment clinical data, serological indices, breast MRI image features, and post-surgical pathologic features were analyzed. Patients were divided into low-burden (<3 metastatic lymph nodes) group and high-burden (≥3 metastatic lymph nodes) group based on pathological ALN confirmation. Group comparisons of clinical variables were analyzed using independent samples t-tests, Mann-Whitney U tests, or χ2 tests. Indicators with statistically significant differences were included in a multivariable logistic regression analysis to screen for independent influences predicting high ALN load and construct multiple logistic regression models. The performance of these models was evaluated using receiver operating characteristic curves and area under the curve (AUC), while net clinical benefit was assessed using decision curve analysis (DCA). Results:Significant differences were observed between low and high ALN burden groups in carcinoembryonic antigen levels, CA153 levels, tumor diameter, margins, enhancement characteristics, number of peritumoral thick blood vessels (TBVs), MRI-reported ALN loading status (MRI-ALN), and lymphovascular invasion status ( P<0.05). Multivariable logistic regression analysis showed that serum CA153 level ( OR=1.056, 95% CI 1.007-1.108, P=0.024), tumor margins ( OR=3.977, 95% CI 1.561-10.131, P=0.004), TBVs ( OR=3.058, 95% CI 1.217-7.684, P=0.017), and MRI-ALN ( OR=9.424, 95% CI 3.531-25.155, P<0.001) were independent risk factors predicting high ALN load in breast cancer ( P<0.05). The logistic regression model incorporating these four risk factors yielded optimal predictive performance for high ALN burden in breast cancer (AUC=0.854). DCA demonstrated optimal net clinical benefit within the threshold probability range of 13.3% to 72.7%. Conclusions:Tumor margins, TBVs, MRI-ALN, and CA153 levels are significantly associated with high ALN metastatic burden in breast cancer. Constructing a predictive model incorporating these features can significantly improve the accuracy of identifying high ALN burden.