BACKGROUND:The development of artificial intelligence in the medical field is rapidly advancing,with increasing research on its applications in the field of bone trauma.Through bibliometric analysis,this paper analyzed the research hotspots of artificial intelligence in the field of bone trauma in recent years,and predicted the future research trend. OBJECTIVE:To summarize the development history,research status,hot spots,and future development trends of artificial intelligence technology in the field of bone trauma to provide new insights for future research. METHODS:This study selected relevant literature from the Web of Science core database,covering the period from the inception to August 2023,and retrieved 420 articles related to the application of artificial intelligence,machine learning,and deep learning in the field of bone trauma.After manual screening,202 articles related to this article were exported,and Citespace software was used for visual analysis of cooperation of countries,institutions,cited journals,citation analysis,keyword co-occurrence,and other aspects. RESULTS AND CONCLUSION:(1)The overall number of publications from the 202 selected articles showed an upward trend,indicating significant research potential for future studies.The country with the highest centrality and the highest publication volume was the United States.The University of California(USA)was the most prolific research institution.(2)The top five most commonly used keywords in bone trauma research using artificial intelligence were deep learning,artificial intelligence,bone density,machine learning,and diagnosis.The keyword with the highest centrality was bone density,and the keyword with the highest frequency was deep learning.(3)The top 10 most cited reference papers provided comprehensive insights into the feasibility of applying artificial intelligence techniques to the diagnosis of bone trauma from various perspectives.Among them,eight papers focused on bone and joint injuries and deep convolutional neural networks.One paper discussed the use of deep learning in detecting osteoporosis in CT scans to prevent fragility fractures,while another paper explored the correlation between the application of artificial intelligence in identifying changes in skin texture and the recognition of bone characteristics.(4)In the future,the research hotspots of artificial intelligence will mainly focus on the specific study of fractures caused by bone and joint trauma and osteoporosis.The research trend mainly focuses on improving the performance of artificial intelligence algorithms,using new artificial intelligence technologies to accurately classify and quickly and efficiently diagnose bone injuries,especially for the diagnosis of complex and hidden fractures.By establishing finite element analysis models,more standardized evaluations of bone injuries can be achieved.

BACKGROUND: Several studies have demonstrated the occurrence of secondary tumors as a rare but significant complication of chimeric antigen receptor T (CAR-T) cell therapy, underscoring the need for a detailed investigation. Given the limited variety of secondary tumor types reported to date, a comprehensive characterization of the various secondary tumors arising after CAR-T therapy is essential to understand the associated risks and to define the role of the immune microenvironment in malignant transformation. This study aims to characterize the immune microenvironment of a newly identified secondary tumor post-CAR-T therapy, to clarify its pathogenesis and potential therapeutic targets. METHODS: In this study, the bone marrow (BM) samples were collected by aspiration from the primary and secondary tumors before and after CD19 CAR-T treatment. The CD45 + BM cells were enriched with human CD45 microbeads. The CD45 + cells were then sent for 10× genomics single-cell RNA sequencing (scRNA-seq) to identify cell populations. The Cell Ranger pipeline and CellChat were used for detailed analysis. RESULTS: In this study, a rare type of secondary chronic myelomonocytic leukemia (CMML) were reported in a patient with diffuse large B-cell lymphoma (DLBCL) who had previously received CD19 CAR-T therapy. The scRNA-seq analysis revealed increased inflammatory cytokines, chemokines, and an immunosuppressive state of monocytes/macrophages, which may impair cytotoxic activity in both T and natural killer (NK) cells in secondary CMML before treatment. In contrast, their cytotoxicity was restored in secondary CMML after treatment. CONCLUSIONS This finding delineates a previously unrecognized type of secondary tumor, CMML, after CAR-T therapy and provide a framework for defining the immune microenvironment of secondary tumor occurrence after CAR-T therapy. In addition, the results provide a rationale for targeting macrophages to improve treatment strategies for CMML treatment.
Humans ; Lymphoma, Large B-Cell, Diffuse/therapy* ; Tumor Microenvironment/genetics* ; Antigens, CD19/metabolism* ; Leukemia, Myelomonocytic, Chronic/genetics* ; Immunotherapy, Adoptive/adverse effects* ; Male ; Single-Cell Analysis/methods* ; Female ; Sequence Analysis, RNA/methods* ; Receptors, Chimeric Antigen ; Middle Aged

OBJECTIVE: This study aims to analyze the influence factors of lower urinary tract symptoms (LUTS) in patients receiving radical prostatectomy for prostate cancer, and to explore effective nursing strategy in order to provide a theoretical basis for improving the postoperative quality of life of patients. METHODS: A retrospective study was conducted on 103 elderly male patients who underwent radical prostatectomy for prostate cancer in the Department of Urology at General Hospital of Eastern Theater Command from August 2022 to August 2024. The patients were categorized into two groups based on whether LUTS occurred. Demographic and clinical characteristics, perioperative parameters, follow-up data, and participation in pelvic floor muscle training were analyzed to identify risk factors associated with postoperative LUTS. RESULTS: The incidence of postoperative LUTS in the patients with LUTS before the operation was significantly higher than that in the patients without LUTS before the operation (68.42% vs 32.61%, P=0.001). Additionally, the use of larger catheters (22F) was closely associated with an increased incidence of postoperative LUTS(P<0.01). Pelvic floor exercises demonstrated a significant protective effect, with patients who engaged in pelvic floor exercises exhibiting a lower incidence of postoperative LUTS (38.60% vs 60.87%, P=0.040). Regression analysis further revealed that pelvic floor exercises was the protective factor for postoperative LUTS (OR=0.215, 95%CI: 0.091－0.508, P<0.01). CONCLUSION Preoperative LUTS and catheter size are significant risk factors for the occurrence of postoperative LUTS following radical prostatectomy. Pelvic floor muscle exercise after surgery has a protective effect. Postoperative personalized nursing interventions are necessary for different patients to achieve optimal recovery outcomes.
Humans ; Male ; Prostatectomy/adverse effects* ; Retrospective Studies ; Lower Urinary Tract Symptoms/nursing* ; Aged ; Risk Factors ; Quality of Life ; Pelvic Floor ; Prostatic Neoplasms/surgery* ; Postoperative Complications/prevention & control* ; Exercise Therapy ; Middle Aged

The dysfunction of the lysosome and autophagy-lysosome system serves as a driving force for neurodegenerative diseases, metabolic disorders, inflammatory conditions, and other related diseases, closely influencing their onset and progression. Therefore, restoring the function of the lysosome or autophagy-lysosome system has become an increasingly crucial therapeutic strategy in disease management. In this review, we will introduce the lysosomal biogenesis, structure, and function, as well as the biological process of the autophagy-lysosome system. Various diseases closely associated with lysosomal/autophagic dysfunction are also reviewed, emphasizing the significance of targeting the function of the lysosome or autophagy-lysosome system in disease treatment. Finally, we focus on engineered nanomaterials that have the capabilities to restore the function of the lysosome or autophagy-lysosome system, and summarize different strategies and methods for achieving this goal. This review aims to elucidate the latest progress in the field of nanomedicine for lysosomal/autophagic defect-related diseases and inspire the development of innovative and clinically valuable nanomedicines.
Humans ; Lysosomes/physiology* ; Autophagy/physiology* ; Nanomedicine/methods* ; Neurodegenerative Diseases/therapy* ; Animals ; Nanostructures ; Lysosomal Storage Diseases/therapy*

Acupuncture is an ancient treatment method used in traditional Chinese medicine and has been popularized worldwide. Over the past decade, there has been an increase in the amount of acupuncture research, mostly comprised of randomized controlled trials (RCTs) that aimed to answer the question on the efficacy of acupuncture. However, poor methodology and low replicability in these acupuncture RCTs have resulted in uncertainty about the efficacy of acupuncture. In this review, current advancements and challenges in acupuncture RCTs, regarding the methodological aspects of randomization, blinding, sham acupuncture and quality of reporting, were discussed. While there have been advancements in various aspects, current acupuncture RCTs still face pressing issues such as inadequate randomization and blinding, unviable sham acupuncture controls, and poor reporting quality. Given these limitations, this review seeks to identify the methodological problems that are responsible for these problems and to suggest solutions that could help to overcome them so as to improve the quality of future studies evaluating the efficacy of acupuncture. Please cite this article as: Seetoh WS, Lim RQR, Xu RB, Sun MX, Zhang P, Wang MN. Advancements and challenges of acupuncture randomized controlled trials. J Integr Med. 2025; 23(4): 333-343.
Acupuncture Therapy ; Humans ; Randomized Controlled Trials as Topic/methods* ; Research Design

Objective To investigate the effects of dexmedetomidine(Dex)on osteoporosis(OP)rats and possible mechanisms.Methods The rats were divided into sham operation group,osteoporosis model group(OP,replica-ting the OP rat model with bilateral ovariectomies),Dex-L,M,and H(Dex low,medium,and high dose treat-ments)groups and Dex-H+XAV-939 group(Wnt/β-catenin pathway inhibitor).Micro-CT was applied to meas-ure bone mineral density(BMD)and bone microstructure of rat femurs.The three-point bending experiment was applied to analyze the biomechanics of the femur(maximum load,fracture deflection,elastic modulus).HE stai-ning was applied to observe pathological changes in the femur of rats.ELISA method was applied to evaluate bone metabolism indicators such as alkaline phosphatase(ALP),typeⅠ procollagen amino-terminal peptide(PINP)and typeⅠcollagen cross-linked C-telopeptide(CTX-Ⅰ).The expression of Runx2 and Wnt3a was examined by Immunohistochemistry.Western blot was applied to detect the protein expression of Runx2 and Wnt3a/β-catenin pathway in femoral tissue.Results Compared to the Sham group,the bone volume and number of trabeculae in OP group were obviously reduced,the maximum load,fracture deflection,elastic modulus,BMD,Tb.Th,Tb.N,BV/TV,ALP,PINP,Runx2,Wnt3a,β-catenin expression decreased,CTX-Ⅰ increased(P＜0.05).Compared to the OP group,the bone trabecular structure in the Dex-L,M,and H groups was restored,the maxi-mum load,fracture deflection,elastic modulus,BMD,Tb.Th,Tb.N,BV/TV,ALP,PINP,Runx2,Wnt3a,β-catenin expression all increased but CTX-Ⅰ decreased(P＜0.05).Compared to the Dex-H group,the bone trabecular injury in the Dex-H+XAV-939 group showed a more severe damage.The maximum load,fracture de-flection,elastic modulus,BMD,Tb.Th,Tb.N,BV/TV,ALP,PINP,Runx2,Wnt3a,β-catenin expression decreased while CTX-Ⅰ increased(P＜0.05).Conclusions Dex may antagonize OP effects by improving bone density,biomechanical properties and microstructure.The underlying mechanism might be related to the activation of the Wnt/β-catenin signaling pathway.

The study was designed to investigate the peripheral anti-inflammatory effect of nicotinamide riboside(NR)in experimental autoimmune encephalomyelitis(EAE)mice and its mechanisms.Female C57BL/6 mice were induced by MOG35-55 to prepare EAE model,which then randomly divided into EAE model group and NR treatment group.Mice in EAE model group were given normal saline at a dose of 200 μl/d and mice in NR treatment group were given NR at a dose of 500 mg/kg(200 μl/d)by intragastric administration.Clinical score and body weight of mice in each group were observed and recorded.After mice were sacrificed on the 28th day after immunization,frozen sections of spleen and spinal cord were prepared and proteins of spinal cord were extracted.HE staining was used to detect peripheral inflammatory cells infiltrating spinal cord;immunofluorescence staining was used to detect the number of CD4+T cells and CD68+macrophages in spinal cord of mice;Western blot was used to detect the expression of IFN-γ and IL-1β in spinal cord of mice;immunofluorescence staining was used to detect the number of ROCK-Ⅰ+cells,TLR4+cells,p-NF-κB+cells,TNF-α+cells,IL-1β+cells,IFN-γ+cells,IL-6+cells,IL-10+cells,IL-17+cells,iNOS+cells and Arg-1+cells in spleen of mice.Data showed that compared with EAE model group,NR significantly delayed the onset time of EAE mice(P<0.05),decreased clinical score(P<0.05 or P<0.01),alleviated weight loss,prevented peripheral inflammatory cells from infiltrating spinal cord,decreased the number of CD4+T cells and CD68+macrophages in spinal cord(P<0.01),down-regulated the expression of IFN-γ and IL-1β of spinal cord(P<0.05),inhibited the expression of ROCK-Ⅰ,TLR4 and p-NF-κB in spleen of mice(P<0.01),reduced the secretion of IFN-γ,iNOS,IL-6 and other pro-inflammatory factors in spleen(P<0.05 or P<0.01),and increased the secretion of anti-inflammatory factors Arg-1 and IL-10 in spleen(P<0.05 or P<0.01).In conclusion,NR can effectively alleviate the clinical symptoms of EAE mice and significantly reduce inflammatory response of peripheral and central nervous system,and its mechanism may be related to the inhibition of Rho/ROCK signaling pathway and TLR4/NF-κB signaling pathway in spleen of EAE mice.

Objective:To investigate the status quo of educational and teaching research in community bases for general practice standardized residency training in China.Methods:The studies related to education research in community bases for general practice standardized residency training were searched from Chinese Journal Full Text Database (CNKI), Wanfang Database and China Science and Technology Journal Database (VIP) from inception to November 30, 2023. The keywords of "standardized training of general practitioner residents" or "general practice standardized training" or "general practitioner standardized training" or "general practice training" and "community-based teaching " or "community training" "community base" or "community teaching" were used for search, and affiliations of authors should contain"community health service center". The literature was read and summarized using Endnote and Excel software.Results:A total of 171 articles were retrieved that met the criteria, and 130 articles were finally selected for analysis according to the quality review criteria of the literature. The authors of articles were distributed in 78 institutions of 17 provinces or regions, with 9 provinces or regions having a total of 123 articles (94.6%) with 2 published articles or more, of which the highest number was found in Beijing and Shanghai. Seventeen institutions published 2 or more articles with a total of 69 articles (53.1%), including 67 articles (51.5%) were co-authored by 2 units. The ranking top ten institutions in terms of the number of articles published were 5 community health service centers in Beijing, 4 in Shanghai (co-authored with Shanghai Zhongshan Hospital). There were 46 articles (35.4%) published in core journals and 55 articles (42.3%) with fund-supported projects. The studies presented teaching methods, teaching and training contents, teaching evaluation and effects, teacher training, teaching base construction and information technology application.Conclusion:The educational and teaching research in community bases for general practice standardized training in China has gradually received attention, the researches were mainly carried out by community medical institutions, but the overall quality of research needs to be further improved.

OBJECTIVE To construct a risk prediction model for bloodstream infection （BSI） induced by carbapenem-resistant Klebsiella pneumoniae （CRKP）. METHODS Retrospective analysis was conducted for clinical data from 253 patients with BSI induced by K. pneumoniae in the First Hospital of Qinhuangdao from January 2019 to June 2022. Patients admitted from January 2019 to December 2021 were selected as the model group （n＝223）， and patients admitted from January 2022 to June 2022 were selected as the validation group （n＝30）. The model group was divided into the CRKP subgroup （n＝56） and the carbapenem- sensitive K. pneumoniae （CSKP） subgroup （n＝167） based on whether CRKP was detected or not. The univariate and multivariate Logistic analyses were performed on basic information such as gender， age and comorbid underlying diseases in two subgroups of patients； independent risk factors were screened for CRKP-induced BSI， and a risk prediction model was constructed. The established model was verified with patients in the validation group as the target. RESULTS Admissioning to intensive care unit （ICU）， use of immunosuppressants， empirical use of carbapenems and empirical use of antibiotics against Gram-positive coccus were independent risk factors of CRKP-induced BSI （ORs were 3.749， 3.074， 2.909， 9.419， 95%CIs were 1.639-8.572， 1.292- 7.312， 1.180-7.717， 2.877-30.840， P＜0.05）. Based on this， a risk prediction model was established with a P value of 0.365. The AUC of the receiver operating characteristic （ROC） curve of the model was 0.848 [95%CI （0.779， 0.916）， P＜0.001]， and the critical score was 6.5. In the validation group， the overall accuracy of the prediction under the model was 86.67%， and the AUC of ROC curve was 0.926 [95%CI （0.809， 1.000]， P＜0.001]. CONCLUSIONS Admission to ICU， use of immunosuppressants， empirical use of carbapenems and empirical use of antibiotics against Gram-positive coccus are independent risk factors of CRKP- induced BSI. The CRKP-induced BSI risk prediction model based on the above factors has good prediction accuracy.