Metabolic-associated fatty liver disease (MAFLD) and osteoporosis (OP) are two very common metabolic diseases. A growing body of experimental evidence supports a pathophysiological link between MAFLD and OP. MAFLD is often associated with the development of OP. Rutaecarpine (RUT) is one of the main active components of Chinese medicine Euodiae Fructus. Our previous studies have demonstrated that RUT has lipid-lowering, anti-inflammatory and anti-atherosclerotic effects, and can improve the OP of rats. However, whether RUT can improve both fatty liver and OP symptoms of MAFLD mice at the same time remains to be investigated. In this study, we used C57BL/6 mice fed a high-fat diet (HFD) for 4 months to construct a MAFLD model, and gave the mice a low dose (5 mg·kg^-1) and a high dose (15 mg·kg^-1) of RUT by gavage for 4 weeks. The effects of RUT on liver steatosis and bone metabolism were then evaluated at the end of the experiment [this experiment was approved by the Experimental Animal Ethics Committee of Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences (approval number: IMB-20190124D₃03)]. The results showed that RUT treatment significantly reduced hepatic steatosis and lipid accumulation, and significantly reduced bone loss and promoted bone formation. In summary, this study shows that RUT has an effect of improving fatty liver and OP in MAFLD mice.

ObjectiveThis study aims to develop and validate a novel multimodal predictive model， termed criss-cross network（CCNet）-directed graph neural network（DGNN）（CGN）， for accurate assessment of pulmonary nodule progression in high-risk individuals for lung cancer， by integrating longitudinal chest computed tomography（CT） imaging with both traditional Chinese and western clinical evaluation data. MethodsA cohort of 4 432 patients with pulmonary nodules was retrospectively analyzed. A twin CCNet was employed to extract spatiotemporal representations from paired sequential CT scans. Structured clinical assessment and imaging-derived features were encoded via a multilayer perceptron， and a similarity-based alignment strategy was adopted to harmonize multimodal imaging features across temporal dimensions. Subsequently， a DGNN was constructed to integrate heterogeneous features， where nodes represented modality-specific embeddings and edges denoted inter-modal information flow. Finally， model optimization was performed using a joint loss function combining cross-entropy and cosine similarity loss， facilitating robust classification of nodule progression status. ResultsThe proposed CGN model demonstrated superior predictive performance on the held-out test set， achieving an area under the receiver operating characteristic curve（AUC） of 0.830， accuracy of 0.843， sensitivity of 0.657， specificity of 0.712， Cohen's Kappa of 0.417， and F₁ score of 0.544. Compared with unimodal baselines， the CGN model yielded a 36%-48% relative improvement in AUC. Ablation studies revealed a 2%-22% increase in AUC when compared to simplified architectures lacking key components， substantiating the efficacy of the proposed multimodal fusion strategy and modular design. Incorporation of traditional Chinese medicine （TCM）-specific symptomatology led to an additional 5% improvement in AUC， underscoring the complementary value of integrating TCM and western clinical data. Through gradient-weighted activation mapping visualization analysis， it was found that the model's attention predominantly focused on nodule regions and effectively captured dynamic associations between clinical data and imaging-derived features. ConclusionThe CGN model， by synergistically combining cross-attention encoding with directed graph-based feature integration， enables effective alignment and fusion of heterogeneous multimodal data. The incorporation of both TCM and western clinical information facilitates complementary feature enrichment， thereby enhancing predictive accuracy for pulmonary nodule progression. This approach holds significant potential for supporting intelligent risk stratification and personalized surveillance strategies in lung cancer prevention.

Objective To investigate the risk factors of myocardial injury secondary to acute organophos-phorus pesticide poisoning(AOPP)and the predictive efficacy of serum Furin and soluble tumor necrosis fac-tor-like weak inducer of apoptosis(sTWEAK).Methods A total of 146 AOPP patients admitted to this hos-pital from February 2021 to February 2023 were selected as the research objects.Three days after admission,they were divided into non-myocardial injury group(84 cases)and myocardial injury group(62 cases)accord-ing to whether they had secondary toxic heart disease.The clinical data of all patients were collected.Univari-ate and multivariate Logistic regression analysis were used to explore the risk factors of secondary myocardial injury in AOPP patients.The serum Furin and sTWEAK levels of all patients were detected by enzyme-linked immunosorbent assay.The receiver operating characteristic(ROC)curve was used to evaluate the predictive value of serum Furin and sTWEAK for secondary myocardial injury in AOPP patients.Results Myocardial injury occurred in 62 of 146 AOPP patients,with an incidence of 42.47％.Univariate analysis showed that there were no statistically significant differences in gender,time from medication to admission,and pesticide type between the two groups(P＞0.05).Compared with the non-myocardial injury group,the myocardial in-jury group had significantly higher levels of tropomin Ⅰ and creatine kinase isoenzyme and a significantly high-er proportion of patients with age ≥60 years,severe poisoning,and acute physiology and chronic health evalu-ation(APACHE)Ⅱ score ≥20(P＜0.05).The serum levels of Furin and sTWEAK in the myocardial injury group were higher than those in the non-myocardial injury group(P＜0.05).The area under curve(AUC)of serum Furin and sTWEAK in predicting secondary myocardial injury in AOPP patients was 0.813 and 0.744,respectively.The AUC of combined prediction of the two was 0.896,which was higher than that of each index alone.Multivariate Logistic regression analysis showed that severe poisoning degree(OR=2.054,95％CI 1.256-3.360),APACHE Ⅱ score ≥20 points(OR=2.323,95％CI 1.334-4.046),serum Furin≥129.48 ng/L(OR=3.380,95％CI 1.689-6.766),serum sTWEAK≥845.86 ng/L(OR=4.988,95％CI 2.057-12.097)were risk factors for secondary myocardial injury in AOPP patients(P＜0.05).Conclusion Seconda-ry myocardial injury in AOPP patients is related to the degree of poisoning and APACHE Ⅱ score,and the ser-um Furin and sTWEAK levels increase in patients with secondary myocardial injury in AOPP,which have im-portant clinical significance in predicting patients with secondary myocardial injury in AOPP.

Aim To investigate the dynamic changes of neuronal cells at different time points following acute cerebral ischemia-reperfusion injury by establishing a model of brain ischemia-reperfusion injury.Methods Thirty male Sprague-Dawley(SD)rats were ran-domly divided into six groups:sham group and cere-bral ischemia-reperfusion injury(IR)groups at differ-ent time points.Focal cerebral ischemia-reperfusion injury model was established using the middle cerebral artery occlusion(MCAO)technique.The Longa sco-ring method was used to assess neurobehavioral scores in rats.After successful model preparation,routine paraffin sections were made,and TUNEL staining and immunohistochemistry staining with NeuN antibody were performed to observe cell apoptosis and neuronal cell survival,respectively.Immunohistochemistry stai-ning was also performed to investigate the changes in glial fibrillary acidic protein(GFAP)as a marker for astrocytes,ionized calcium-binding adapter molecule 1(IBA-1)as a marker for microglia,and CD31 as a marker for endothelial cells at different time points.Results No significant changes were observed in neu-ronal cells of the sham group at different time points.In the cerebral ischemia-reperfusion injury groups,cell apoptosis was activated at IR3h and increased in quan-tity with morphological damage as time progressed.Ne-uN+neurons showed signs of ischemic injury after IR3h,with abnormal cell morphology.From 12 h,Ne-uN+neurons decreased in a time-dependent manner and reached their peak severity at 24 h.GFAP+astro-cytes decreased significantly after IR3h,while poorly labeled GFAP+astrocytes increased at IR 6 h and al-most disappeared in the infarcted area at 24 h and 48 h.The number of IBA-1+microglia-positive cells de-creased at IR3h,and their volume increased at IR6h.Microglial cell death was observed in the infarcted area at IR12h.CD31+endothelial cells around the infarc-ted cortex and striatum increased significantly after IR3h and persisted until 48 h.Conclusions After cerebral ischemia-reperfusion injury,the number of ap-optotic cells increases with the prolongation of time,and NeuN+neurons exhibit the most severe damage at 24 h.GFAP+astrocytes and microglial cells gradually die over time.The number of CD31+endothelial cells increases significantly around the infarcted cortex and striatum after 3 h of reperfusion and persists until 48 h.

Objective To examine the changing antimicrobial resistance profile of Enterobacter spp.isolates in 53 hospitals across China from 2015 t0 2021.Methods The clinical isolates of Enterobacter spp.were collected from 53 hospitals across China during 2015-2021 and tested for antimicrobial susceptibility using Kirby-Bauer method or automated testing systems according to the CHINET unified protocol.The results were interpreted according to the breakpoints issued by the Clinical & Laboratory Standards Institute(CLSI)in 2021(M100 31st edition)and analyzed with WHONET 5.6 software.Results A total of 37 966 Enterobacter strains were isolated from 2015 to 2021.The proportion of Enterobacter isolates among all clinical isolates showed a fluctuating trend over the 7-year period,overall 2.5％in all clinical isolates amd 5.7％in Enterobacterale strains.The most frequently isolated Enterobacter species was Enterobacter cloacae,accounting for 93.7％(35 571/37 966).The strains were mainly isolated from respiratory specimens(44.4±4.6)％,followed by secretions/pus(16.4±2.3)％and urine(16.0±0.9)％.The strains from respiratory samples decreased slightly,while those from sterile body fluids increased over the 7-year period.The Enterobacter strains were mainly isolated from inpatients(92.9％),and only(7.1±0.8)％of the strains were isolated from outpatients and emergency patients.The patients in surgical wards contributed the highest number of isolates(24.4±2.9)％compared to the inpatients in any other departement.Overall,≤ 7.9％of the E.cloacae strains were resistant to amikacin,tigecycline,polymyxin B,imipenem or meropenem,while ≤5.6％of the Enterobacter asburiae strains were resistant to these antimicrobial agents.E.asburiae showed higher resistance rate to polymyxin B than E.cloacae(19.7％vs 3.9％).Overall,≤8.1％of the Enterobacter gergoviae strains were resistant to tigecycline,amikacin,meropenem,or imipenem,while 10.5％of these strains were resistant to polycolistin B.The overall prevalence of carbapenem-resistant Enterobacter was 10.0％over the 7-year period,but showing an upward trend.The resistance profiles of Enterobacter isolates varied with the department from which they were isolated and whether the patient is an adult or a child.The prevalence of carbapenem-resistant E.cloacae was the highest in the E.cloacae isolates from ICU patients.Conclusions The results of the CHINET Antimicrobial Resistance Surveillance Program indicate that the proportion of Enterobacter strains in all clinical isolates fluctuates slightly over the 7-year period from 2015 to 2021.The Enterobacter strains showed increasing resistance to multiple antimicrobial drugs,especially carbapenems over the 7-year period.

A triplex RT-qPCR assay with human genes as internal references was established for detection of the Dengue and Zika viruses(DENV and ZIKV,respectively).The conserved regions of the four serotypes of DENV,along with the NS1 gene of ZIKV and the human β-actin gene,which is stably ex-pressed in various human tissues,were targeted by three sets of specific primers and probes.Standard plasmids for four se-rotypes of DENV,ZIKV,and β-actin were constructed as pos-itive controls.Optimal reaction conditions were determined through an L9(34)orthogonal experiment.The specificity,sensitivity,and coverage of the assay were verified and evalua-ted clinically,and the consistency was evaluated against a com-mercial kit for detection of DENV.The triplex RT-qPCR assay established exhibited no non-specific cross reactions with 12 similar arboviruses.The detection sensitivity for DENV and ZIKV were 2.99 and 2.18 copies/μL,respectively,and the intra-group and inter-group repeatability coefficients of variation were within 1.5％.As compared to the commercial kit,the proposed assay obtained positive results for 13 epidemic strains of DENV.Bland-Altman consistency analysis confirmed that the consistency of the detection results of clinical positive samples between the commercial kit and the proposed assay was 92.59％.The highly specific and sensitive triplex RT-qPCR assay with internal references is an effective tool for early and rapid differential identification of DENV and ZIKV.

Objective:To investigate the effect of progression of disease within 24 months(POD24)on overall survival(OS)in patients with mantle cell lymphoma(MCL),and compare the clinical characteristics between POD24 and non-POD24 patients.Methods:A retrospective analysis was performed on 50 MCL patients with treatment indications and regular treatment who were admitted to the Affiliated Hospital of Xuzhou Medical University from January 2010 to August 2020.According to the occurrence of POD24,the patients were grouped for prognostic evaluation and clinical characteristics comparison.Results:Univariate Cox regression analysis showed that POD24,PLT,albumin,MIPI score,ECOG PS score,LDH were the factors influencing OS in newly diagnosed MCL patients(all P＜0.05).The results of multivariate Cox regression analysis showed that POD24[HR=16.797(95％CI:3.671-76.861),P＜0.001],albumin＜40 g/L[HR=3.238(95％CI:1.095-9.572),P=0.034]and ECOG PS score≥2[HR=4.005(95％CI:1.033-15.521),P=0.045]were independent risk factors influencing OS in MCL patients.The incidence of PLT＜100 × 109/L(33.3％vs 5.9％,P=0.033)and ECOG PS score≥2(45.5％vs 5.9％,P=0.040)were significantly higher in POD24 patients than those in non-POD24 patients.Conclusion:POD24 is an independent poor prognostic factor affecting the OS of MCL patients,and the patients with PLT＜100 × 109/L and ECOG PS score ≥2 at diagnosis have a higher probability of POD24.