Objective To clarify the current development status and research hotspots in the field of experimental drug management in China through data mining by bibliometric. Methods Key words such as “experiment”, “drug”, and “management” were used to search the Chinese literature in China National Knowledge Infrastructure （CNKI）. The title, author name, author affiliation, Chinese abstract, Chinese keywords, publication period, journal name, and other content of the literature were extracted from the literature. Cluster analysis was performed by CNKI literature visualization analysis system, CiteSpace and other software, and a network knowledge map was drawn. Results The literature in the field of experimental drug management in China was first published in 1994, and a total of 140 articles were published until 2022. Among them, 20 articles were supported by relevant funds, and the keyword co-occurrence frequency was highest among “subjects”. The most frequently published medium was the Chinese Pharmacological Yearbook. Conclusion At present, the quantity and quality of literature in the field of experimental drug management in China were relatively small, and the cooperation and communication among authors were not close. The funding from various fund projects in this field was also lacking. These factors led to a lower overall development level and slower development speed in this field.

Objective: To explore whether infected granulation tissue in tooth extraction sockets and maxillary sinus pus share a common microbial profile at the subspecies-strain level in patients with odontogenic maxillary sinusitis (OMS), providing evidence for infection origin tracing and precise antimicrobial therapy in OMS. Methods: This study was reviewed and approved by the institutional ethics committee. Nine consecutive OMS patients who underwent synchronous endoscopic sinus surgery and tooth extraction from October 2020 to August 2022 were prospectively enrolled. Under general anesthesia, paired specimens were collected from infected extraction-socket granulation tissue and maxillary sinus pus. Bacterial DNA was extracted, and the full-length 16S rRNA gene was sequenced on the Illumina MiSeq platform. Amplicon sequence variants (ASVs) were generated using the DADA2 algorithm and taxonomically annotated to the subspecies level against the Human Oral Microbiome Database. The detection rate of shared ASVs between the two sites and their relative abundance in sinus pus were compared. Functional profiles were predicted using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States 2 (PICRUSt2). Results: Shared ASVs were identified in seven of the nine patients. Fusobacterium, Parvimonas, Porphyromonas, and Prevotella were the most prevalent genera. Porphyromonas gingivalis and Fusobacterium nucleatum were co-detected in multiple patients, with relative abundances exceeding 5% in sinus pus of several cases. Identical ASVs of F. nucleatum or Porphyromonas spp. were detected in six patients; the ASVs corresponding to F. nucleatum subsp. nucleatum and Porphyromonas endodontalis were significantly more abundant in sinus pus than in extraction-socket granulation tissue. PICRUSt2 functional profiling revealed that the proportion of socket-derived microbes in sinus pus was strongly correlated with 10 pathways, including ferroptosis, adipocytokine signaling, and apoptosis, et al. Except for biotin metabolism, the remaining pathways showed weak correlation with the proportion of extraction socket-derived ASVs in the extraction-socket granulation tissue and maxillary sinus pus. Removing F. nucleatum ASVs markedly attenuated these associations Conclusion At the subspecies-strain level, this study confirmed the presence of a shared microbial profile between infected extraction-socket granulation tissue and maxillary sinus pus in patients with odontogenic maxillary sinusitis. The co-detected subspecies-strains with high relative abundance in maxillary sinus pus included Fusobacterium nucleatum subsp. nucleatum and Porphyromonas endodontalis, thus providing strain-level microbiological evidence for infection source tracing in OMS.

Objective With the widespread of transcatheter aortic valve replacement(TAVR)in patients with severe symptomatic aortic stenosis(AS),the life-cycle management has become a major determinant of prognosis.Methods A total of 408 AS patients who underwent successfully TAVR from June 2021 to August 2023 were consecutively enrolled in Hospital Valve Intervention Center.Patients were assigned to the Usual Care(UC)group between June 2021 and October 2022,while patients were assigned to the Heart Multi-parameter Monitoring(HMM)group between November 2022 and August 2023.The primary endpoint was defined as composite endpoint within 6 months post-TAVR,including all-cause death,cardiovascular death,stroke/transient ischemic attack,conduction block,myocardial infarction,heart failure rehospitalization,and major bleeding events.Secondary endpoints were the time interval(in hours)from event occurrence to medical consultation or advice and patient satisfaction.Statistical analysis was performed using Kaplan-Meier and multivariable Cox proportional hazards models.Results The incidence of primary endpoint in HMM group was significantly lower than that in UC group(8.9％vs.17.7％,P=0.016),the driving event was the rate of diagnosis and recognition of conduction block.The average time intervals from event occurrence to receiving medical advice were 3.02 h in HHM group vs.97.09 h in UC group(P＜0.001).Using cardiac monitoring devices and smart healthcare platforms provided significant improving in patients long-term management(HR 0.439,95％CI 0.244-0.790,P=0.006).Conclusions The utilization of cardiac monitoring devices and smart healthcare platforms effectively alerted clinical events and improved postoperative quality of life during long-term management post TAVR.

Coronary perforation is when a contrast agent or blood flows outside a blood vessel through a tear in a coronary artery.In this case,we reported a case of percutaneous coronary intervention for coronary calcified lesions,which led to iatrogenic coronary perforation and cardiac tamponade after the use of Shockwave balloon to treat intracoronary calcified nodules,and the management of PCI-related CAP was systematically reviewed through the literature.

As a novel neuromodulation technology,the application of deep brain stimulation(DBS)in treatment-resistant psychiatric disorders has received widespread attention in recent years.Based on the current research frontiers,this review puts forward several unique and insightful issues of DBS in psychiatric disorders,including therapeutic targets,stimulation modes,closed-loop modulation,and long-term efficacy in order to provide suggestions and perspectives for future research directions.

Epstein-Barr virus (EBV) associated post-transplant lymphoproliferative disorders (PTLD) are one of the most severe complications after hematopoietic stem cell transplantation (HSCT). This study includes 31 cases of aplastic anemia (AA) patients who developed PTLD after haploidentical transplantation, summarizing their clinical characteristics and categorizing them into either rituximab monotherapy group or combination therapy group based on whether their condition improved by 1 log after a single dose of rituximab. The incidence of PTLD after HSCT in children with AA was 10.16%, and the incidence of PTLD in patients with age >10 years was significantly increased ( χ2=11.336, P=0.010). Of the 31 patients, 27 were clinically diagnosed and 4 were pathologically confirmed. Finally, 15 patients were classified into the rituximab treatment group and 15 patients into the combination treatment groups. Finally three patients died, and the 2-year overall survival rate was (89.7±5.6) %. Standard pre-treatment protocols and EBV reactivation are risk factors affecting the prognosis of PTLD. There was no statistically significant difference in the impact of the two treatment schemes on prognosis.

Targeted radiation therapy using radionuclides is a favored approach for treating tumors.This procedure involves the delivery of drugs to the lesion site via carriers or interventional methods,followed by the emission of radiation energy that selectively irradiates the lesion tissue.This approach minimizes damage to normal tissue and achieves the desired therapeutic effect.Factors such as the type of therapeutic radionuclide,radiation energy,physical half-life,method of preparation,and toxicity determine their clinical application.In this paper,the characteristics and clinical application of therapeutic radionuclides were reviewed to providing reference for the clinical application of targeted therapeutic radionuclides.

Animals ; Callithrix ; Sex Factors ; Vocalization, Animal ; Sex Characteristics

Objective: To determine the heterogeneity for caries prevention service preferences among children in Anhui Province, so as to provide reference for the promotion and popularization of caries prevention services for school age children. Methods: Based on a discrete selection experiment, a face to face questionnaire survey was administered using a multi stage sampling method among 785 parents with children 3-12 years of age who were hospitalized in the stomatology clinics of 7 prefectures and cities in Anhui Province from October 2021 to October 2022. A mixed Logit model was used to evaluate caries prevention service preferences for children. Results: Four discrete choice experiment attributes included in the study were statistically significant for choice preference ( P <0.05). Compared with the control group, parents with a high school education or above preferred caries prevention services with 70%-<80% preventive effectiveness, 2-<5 and <2 km from the service point, and a high service cost ( β =0.38, 1.66, 1.64, 0.00); female parents preferred preventive services with 70%-<80% preventive effectiveness and a high service cost ( β =0.35, 0.01 ); parents of children <7 years of age preferred services with 70%-<80% preventive effectiveness ( β =0.75); parents of children with oral health preferred preventive services during winter and summer vacations ( β =-0.28); parents of children with caries preferred preventive services with a high cost per denticle ( β =0.00)( P <0.05). Conclusions Parents with different education levels, gender, child age, and oral health status have heterogeneity in dental caries prevention service preferences. The provision of targeted and precise services can improve the participation and coverage of caries prevention services for school age children.

Objective To construct machine learning models that can be used to predict AUC fold change(FC)using a database of existing pharmacokinetic(PK)and drug-drug interaction(DDI)information,which can be used to explore the possibility of predicting existing drug interactions and to provide certain rational recommendations for clinical drug use.Methods PK data of DDIs and AUC fold change data were extracted from FDA-approved drug labels.Peptide and pharmacodynamic(PD)information related to drug interactions were retrieved through DrugBank,and PPDT identification of relevant peptide IDs was performed using Protein Resource(UniProt),and a matrix normalization code was used to generate multidimensional vector data that were easy to analysis.The effect of PPDT on the AUC,and the resulting multiplicity change was used as the dependent variable for machine learning model construction.The model with the smallest root mean square error(RMES)value was used for model construction to train a bagged decision tree(Bagged)prediction model.The models were tested using the trained models for some of the drug tests.The models were evaluated by reviewing the available literature findings on detection of drug interaction pairs and analyzing and comparing the predicted values.Results A total of 16 pairs of model drug pairs were tested for the effects of 16 drugs on tacrolimus,and it was found that the accuracy of the prediction of the presence or absence of drug interactions was 81.25％;the prediction results were classified according to the FDA standard classification of the strong and weak for the strength of drug interactions,and the results showed that the prediction of the strength of drug interactions,with a large deviation from the larger prediction was less.Conclusion The evaluation of the model to predict the presence or absence of drug interactions was general;however,after classifying the strengths and weaknesses of drug interactions,the prediction of drug interactions was better,and the prediction results indicated that the model prediction performance has a certain reference value for potential DDI assessment before clinical trials.