Objective To analyze the clinical and therapeutic characteristics of Epstein-Barr virus (EBV)-negative posttransplant lymphoproliferative disease (PTLD) with diffuse large B-cell lymphoma (DLBCL) in the context of specific cases and literature. Methods A case of EBV-negative DLBCL (GCB type) after kidney transplantation is reported. The patient was a 45-year-old male who underwent living-related kidney transplantation in 2016 and has been receiving triple immunosuppressive therapy with tacrolimus, mycophenolate mofetil and methylprednisolone since then. In 2024, the patient presented with intermittent fever, night sweats and gastrointestinal symptoms. The diagnosis was confirmed by endoscopic pathology, immunohistochemical staining and positron emission tomography/computed tomography. The R-CDOP regimen (rituximab + cyclophosphamide + liposomal doxorubicin + vincristine + dexamethasone) was used for treatment. Results The patient was diagnosed with EBV-negative DLBCL (GCB type, Ann Arbor stage Ⅳ B). After 4 cycles of R-CDOP chemotherapy, the efficacy assessment was partial remission, and the transplant kidney function remained stable. Conclusions For EBV-negative PTLD after kidney transplantation, it is necessary to break through the "virus-dependent" diagnostic thinking. In clinical practice, the focus should be on protecting the transplant kidney, and individualized treatment plans should be developed for patients.

Objective: To compare the transcriptomic profiles between three distinct metabolic dysfunction⁃associat⁃mal murine model that more closely resembles human MASH progression . Methods: Forty 8 ⁃week⁃old male C57BL/6J mice were randomly assigned to either a control group fed normal chow diet ( NCD) or one of three MASH model groups receiving high⁃fat high⁃cholesterol diet (HFHCD) , choline⁃deficient high⁃fat diet (CDHFD) ,from three randomly selected mice per group were collected for mRNA sequencing ( mRNA⁃seq) analysis . Mean⁃bases . Overlap of functional profiles was analyzed by gene set enrichment analysis (GSEA) profiles to compare the mouse transcriptome with that of human patients at different stages of the disease . Additionally , Pearson ′s correla⁃tion analysis was used to explore the correlation between gene expression of murine models and human MASH . Results: Seven commonly up⁃regulated genes (Col1a1 , Smoc2 , Col6a1 , Gpx3 , Col16a1 , Spp1 and Crtap) were de⁃ways involving steatosis , hepatocellular injury and fibrosis were detected in the three MASH models at the pathway level . HFHCD and MCD might share more common traits . In comparing gene expression and pathway profiles be⁃tween different murine models and patients with different stages of MASH , all three murine MASH models showed a closer resemblance to the human progressive stages of MASH . Notably , the transcriptomic features of the CDHFD model were more consistent with those of human MASH . Conclusion There are certain similarities and differences among the transcriptional profiles of the three MASH models . The MASH models are more similar to the advanced stage of MASH in human patients . Compared to the other two models , the CDHFD model ′ s transcriptome profile more closely resembles human MASH .

Drug repurposing offers a promising alternative to traditional drug development and significantly re-duces costs and timelines by identifying new therapeutic uses for existing drugs.However,the current approaches often rely on limited data sources and simplistic hypotheses,which restrict their ability to capture the multi-faceted nature of biological systems.This study introduces adaptive multi-view learning(AMVL),a novel methodology that integrates chemical-induced transcriptional profiles(CTPs),knowledge graph(KG)embeddings,and large language model(LLM)representations,to enhance drug repurposing predictions.AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning(MVL),matrix factorization,and ensemble optimization techniques to integrate heterogeneous multi-source data.Comprehensive evaluations on benchmark datasets(Fdata-set,Cdataset,and Ydataset)and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art(SOTA)methods,achieving superior accuracy in predicting drug-disease associations across multiple metrics.Literature-based validation further confirmed the model's predictive capabilities,with seven out of the top ten predictions corroborated by post-2011 evidence.To promote transparency and reproducibility,all data and codes used in this study were open-sourced,providing resources for pro-cessing CTPs,KG,and LLM-based similarity calculations,along with the complete AMVL algorithm and benchmarking procedures.By unifying diverse data modalities,AMVL offers a robust and scalable so-lution for accelerating drug discovery,fostering advancements in translational medicine and integrating multi-omics data.We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.

Guidelines for Digital Ancient Books of TCM Indexing(T/CIATCM 119-2024)is based on the theoretical knowledge,disciplinary methods,and practical applications of TCM classical cataloging.Taking digital ancient books of TCM as the object,it systematically reveals the content of TCM knowledge,which is an essential indexing processing standard for building an intelligent retrieval system for TCM ancient books,and can provide support for the deep development and innovative utilization of TCM knowledge.It can not only promote the co-construction and sharing of ancient book resources in the TCM industry,but also promote the standardization construction and application of TCM information.This standard specifies the principles,methods,and examples of free indexing of digital ancient books of TCM based on their original content.It is applicable to the indexing and processing of digital ancient books of TCM for TCM professional libraries and related institutions,and to the data processing and construction of various types of TCM ancient book databases.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To summarize the clinical features and prognosis of children suffered from malignant solid tumors of head and neck.Methods The clinical data of children with primary malignant solid tumors located in the head and neck was retrospectively analyzed from January 2007 to December 2021 in the Department of Oncology,Beijing Children's Hospital,Capital Medical University,and the clinical features,prognostic factors were summarized.Results A total of 234 children with malignant solid tumors of head and neck were included,with a male to female ratio of 1∶0.7,aged from 3 months to 17 years and 6 months(median age 51 months).173 cases(73.9％)were treated with local painless masses.Other symptoms included snoring and facial paralysis.The proportion of rhabdomyosarcoma(RMS)was the highest(145 cases,62.0％),followed by neuroblastoma(NB)(25 cases,10.7％),Ewing sarcoma(19 cases,8.1％),etc.A total of 47 cases(20.1％)had distant metastasis.The patients received surgery,chemotherapy and radiotherapy under the mode of multidisciplinary treatment(MDT).The 3-year and 5-year overall survival(OS)were 80.8％and 75.8％,respectively,and the 3-year and 5-year progression free survival(PFS)were 64.0％and 58.9％,respectively.Tumor survivors had abnormal appearance or facial motor function(49 cases,41.2％),developmental problems or abnormal tooth loss(18 cases,15.1％),and other long-term complications that may be related to the tumor or treatment.Conclusion There are various pathologic types of pediatric head and neck malignant solid tumors,RMS and NB are the most common.Local painless mass was the most common complaint.Distant metastasis is an independent risk factor for the prognosis of head and neck malignant solid tumors.Under the MDT model,the prognosis of malignant solid tumors of the head and neck in our center was generally good.In the treatment of the tumors,the side effects and sequelae should be controlled as small as possible under the premise of long-term survival.

Objective To compare the ability of single-phase,dual-phase,and triphasic models in forecasting postoperative pancreatic fistula(POPF)after pancreaticoduodenectomy(PD)using radiomics based on triphasic enhanced CT.Methods A total of 181 patients who underwent multi-phase enhanced CT prior to PD were retrospectively selected,and the collection phase included non-contrast,arterial phase(AP),and equilibrium phase(EP).3D Slicer software was utilized to segment the region of interest(ROI)for the postoperative pancreatic remnant on each phase.Radiomics feature extraction was performed using R software,followed by feature selection through least absolute shrinkage and selection operator(LASSO)regression with five-fold cross-validation to prevent model overfitting.The effective features selected were combined in a weighted linear manner to obtain a Radiomics score(Radscore).The patients were divided into training set and test set in a 7︰3 ratio.Logistic regression was employed to construct seven POPF prediction models(three single-phase,three dual-phase,and one triphasic models)based on different phase combinations.The diagnostic performance of the models was evaluated using the area under the curve(AUC)of receiver operating characteristic(ROC)curve,accuracy(ACC),sensitivity(SEN),and specificity(SPE).The DeLong test was applied to compare the differences in AUC among different models.Results After LASSO regression,24 effective features associated with POPF were selected from different phases.In the test set,the triphasic model exhibited the highest AUC and ACC(AUC=0.76,ACC=0.808).The calibration curve demonstrated the strongest agreement between the estimated probabilities and observed probabilities for the triphasic model.The decision curve analysis(DCA)curve indicated that the triphasic model had the largest threshold range with a higher net benefit.Conclusion Compared with single-phase and dual-phase models,the triphasic model based on enhanced CT provides better prediction of POPF after PD,aiding clinical decision-making and improve prognosis.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

OBJECTIVE:To systematically evaluate the clinical effectiveness of rehabilitation robots in treating lower limb motor dysfunction in patients with cerebral palsy,and to compare the differences in therapeutic effects among different robots.METHODS:PubMed,Web of Science,Embase,Cochrane Library,CNKI,CBM,VIP and WanFang databases were searched to collect randomized controlled trials on rehabilitation robotics for the treatment of motor dysfunction in patients with cerebral palsy,published from database inception to April 10,2024.The main outcome indicators included muscle strength,muscle tension,balance function,step speed,step frequency,step length,walking endurance,lower limb motor function,and activities of daily living.The above indicators were coded according to the International Classification of Functioning,Disability and Health.Meta-analysis was performed to evaluate the clinical efficacy and compare the therapeutic efficacy of different rehabilitation robots.Literature search and screening were performed by two researchers,and the quality of the included literature was evaluated using the Cochrane 5.1.0 risk of bias assessment tool.Meta-analysis was performed using RevMan 5.4 software and Stata 16.0 software.RESULTS:(1)Fifteen articles were finally included,involving 512 patients with 260 in the experimental group and 252 in the control group.(2)The Meta-analysis results showed that rehabilitation robots could improve body structure and function[standardized mean difference=0.41,95%confidence interval(CI):0.24-0.58,P<0.05],activities(standardized mean difference=0.53,95%CI:0.41-0.65,P<0.05)and participation ability(mean difference=7.86,95%CI:1.54-14.18,P<0.05).In particular,the rehabilitation robot improved lower limb muscle strength,balance function,step speed,walking endurance,lower limb gross motor function,and activities of daily living in patients with cerebral palsy,but showed insignificant effects on step frequency,step length,and muscle tension.(3)The network Meta-analysis results showed that:step speed:Innowalkpro>Gait Trainer>Lokomat>3DCalt;6-minute walk test score:Gait Trainer>Lokomat>Lokohelp>Innowalkro;Gross Motor Function Measure-88D score:Lokohelp>Lokomat>KidGo>Innowalkpro>3DCalt;Gross Motor Function Measure-88E score:Lokomat>Lokohelp>KidGo>3DCalt>Innowalkpro.CONCLUSION:Based on the International Classification of Functioning,Disability,and Health,rehabilitation robot training can improve the lower limb motor function and activities of daily living in patients with cerebral palsy.The Innowalkpro robot was more effective in improving step speed;the Gait trainer robot was more effective in improving 6-minute walk test scores;the Lokohelp robot was more effective in improving Gross Motor Function Measure-88D zone scores;and the Lokomat robot was more effective in improving Gross Motor Function Measure-88E zone scores.

Objective:To analyze the clinical characteristics of children with head and neck rhabdomyosarcoma (RMS) and to summarize the mid-long term efficacy of Beijing Children′s Hospital Rhabdomyosarcoma 2006 (BCH-RMS-2006) regimen and China Children′s Cancer Group Rhabdomyosarcoma 2016 (CCCG-RMS-2016) regimen.Methods:A retrospective cohort study. Clinical data of 137 children with newly diagnosed head and neck RMS at Beijing Children′s Hospital, Capital Medical University from March 2013 to December 2021 were collected. Clinical characteristic of patients at disease onset and the therapeutic effects of patients treated with the BCH-RMS-2006 and CCCG-RMS-2016 regimens were compared. The treatments and outcomes of patients with recurrence were also summarized. Survival analysis was performed by Kaplan-Meier method, and Log-Rank test was used for comparison of survival rates between groups.Results:Among 137 patients, there were 80 males (58.4%) and 57 females (41.6%), the age of disease onset was 59 (34, 97) months. The primary site in the orbital, non-orbital non-parameningeal, and parameningeal area were 10 (7.3%), 47 (34.3%), and 80 (58.4%), respectively. Of all patients, 32 cases (23.4%) were treated with the BCH-RMS-2006 regimen and 105 (76.6%) cases were treated with the CCCG-RMS-2016 regimen. The follow-up time for the whole patients was 46 (20, 72) months, and the 5-year progression free survival (PFS) and overall survival (OS) rates for the whole children were (60.4±4.4)% and (69.3±4.0)%, respectively. The 5-year OS rate was higher in the CCCG-RMS-2016 group than in BCH-RMS-2006 group ((73.0±4.5)% vs. (56.6±4.4)%, χ2=4.57, P=0.029). For the parameningeal group, the 5-year OS rate was higher in the CCCG-RMS-2016 group (61 cases) than in BCH-RMS-2006 group (19 cases) ((57.3±7.6)% vs. (32.7±11.8)%, χ2=4.64, P=0.031). For the group with meningeal invasion risk factors, the 5-year OS rate was higher in the CCCG-RMS-2016 group (54 cases) than in BCH-RMS-2006 group (15 cases) ((57.7±7.7)% vs. (30.0±12.3)%, χ2=4.76, P=0.029). Among the 10 cases of orbital RMS, there was no recurrence. In the non-orbital non-parameningeal RMS group (47 cases), there were 13 (27.6%) recurrences, after re-treatment, 7 cases survived. In the parameningeal RMS group (80 cases), there were 40 (50.0%) recurrences, with only 7 cases surviving after re-treatment. Conclusions:The overall prognosis for patients with orbital and non-orbital non-parameningeal RMS is good. However, children with parameningeal RMS have a high recurrence rate, and the effectiveness of re-treatment after recurrence is poor. Compared with the BCH-RMS-2006 regimen, the CCCG-RMS-2016 regimen can improve the treatment efficacy of RMS in the meningeal region.