ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.

In the past few decades, microbubbles were widely used as ultrasound contrast agents in the field of tumor imaging. With the development of research, ultrasound targeted microbubble destruction technology combined with drug-loaded microbubbles can achieve precise drug release and play a therapeutic role. As a micron-scale carrier, microbubbles are difficult to penetrate the endothelial cell space of tumors, and nano-scale drug delivery system—nanobubbles came into being. The structure of the two is similar, but the difference in size highlights the unique advantages of nanobubbles in drug delivery. Based on the classification principle of shell materials, this review summarized micro/nanobubbles used for ultrasound diagnosis or treatment and discussed the possible development directions, providing references for the subsequent development.

Objective To noninvasively predict isocitrate dehydrogenase(IDH)status of glioma via combining imaging and clini-cal features before surgery,so as to provide basis for individualized clinical treatment decision.Methods A total of 47 patients with glioma confirmed by pathological and molecular genetic tests were included,including 20 with IDH mutant type and 27 with IDH wild type.After diffusion tensor imaging(DTI)scanning,fractional anisotropy(FA)and mean diffusivity(MD)values of tumor paren-chyma were calculated.Combining DTI parameters with MRI morphological features of tumor,blood neutrophil/lymphocyte ratio(NLR)and patient's age,binary logistic regression model was established to effectively predict IDH status of glioma patients before surgery.Results There were significant differences in FAmean/FANAWM,MDmin,NLR,tumor location and age between IDH mutant type and IDH wild type groups(P<0.05).The binary logistic regression model concluding,FAmean/FANAWM,MDmin,cystic degeneration,NLR and age,predicted IDH status of glioma with area under the curve(AUC)of 0.961 and 95%confidence interval(CI)of 0.914-1.00.Conclusion The regression model established via combining DTI,MRI morphological features and blood NLR has great performance in classifying IDH status of glioma,and can help predict IDH status noninvasively before surgery,so as to assist clinical individualized treatment.

Transcatheter aortic valve replacement(TAVR)has become one of the effective methods for treating patients with aortic valve disease.With the continuous maturity of technology,innovation of instruments and increasing experience,the indications for TAVR has been expanded.Following international trends,the number of TAVR in China has steadily increased with each passing year.In 2023,the long-term follow-up results of TAVR in low-risk AS patients further confirm the long-term benefits of TAVR.The relevant research on TAVR for patients with aortic regurgitation and patients with bicuspid aortic stenosis provide evidence support for the expansion of TAVR indications.At the same time,the development of valve devices and new technological innovations are emerging in an endless stream,and the new concept of full life cycle management is increasingly being valued.Especially in China,the development of local devices is progressing rapidly,and multiple devices have entered the clinical research stage.The clinical manifestations and research results are worth pursuing.

Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.

With the rapid development of information technology， research on ancient TCM books has shifted from the traditional collation and digitization into intelligent knowledge service， thereby achieving the deep integration of ancient TCM books collation and clinical needs. Based on the clinical problem and knowledge element theory， we implemented in-depth indexing and knowledge mining for 600 kinds of ancient TCM books， built a knowledge sharing service platform for ancient TCM books by integrating database， cloud platform， knowledge graph and other technologies， and carried out the thematic literature research and developed databases for four major diseases including stroke， heart failure， liver cirrhosis， and diabetes. The digital intelligence products have been applied in hundreds of hospitals for evaluation and feedback. Finally， through "digital processing plus intelligent application"， the two-way interaction between ancient TCM books and current clinical practice is realized， and the path and paradigm of ancient TCM books knowledge serving the modern prevention and control of major diseases is formed， providing reference for the innovative utilization of ancient TCM books.

Objective To analyze the current research status and hotspot issues of performance assessment in tertia-ry public hospitals in China,providing reference for subsequent research and practice.Methods Using"performance assessment of tertiary public hospitals"as the main keyword,a total of 520 articles were retrieved from the CNKI ac-ademic journal database from January 30,2019,to January 30,2024.After further screening of literature based on the inclusion and exclusion criteria,a total of 364 eligible articles were obtained.Visual analysis was conducted using the VOSviewer tool.Results The number of publications increased annually from 2019 to 2021,with a decline ob-served in 2022-2023."Chinese Journal of Health"published the most articles on performance assessment in tertiary public hospitals.Research institutions mainly focused on universities,health administrative departments,and hospi-tals.The hotspot clusters of research included performance assessment,public hospitals,target management,high-quality development,tertiary hospitals,and operational efficiency.Conclusion Performance assessment in tertia-ry public hospitals has received widespread attention,with rich connotations and obvious guiding effects,but further research is needed to deepen and explore related topics.

Objective To analyze the current research status and hotspot issues of performance assessment in tertia-ry public hospitals in China,providing reference for subsequent research and practice.Methods Using"performance assessment of tertiary public hospitals"as the main keyword,a total of 520 articles were retrieved from the CNKI ac-ademic journal database from January 30,2019,to January 30,2024.After further screening of literature based on the inclusion and exclusion criteria,a total of 364 eligible articles were obtained.Visual analysis was conducted using the VOSviewer tool.Results The number of publications increased annually from 2019 to 2021,with a decline ob-served in 2022-2023."Chinese Journal of Health"published the most articles on performance assessment in tertiary public hospitals.Research institutions mainly focused on universities,health administrative departments,and hospi-tals.The hotspot clusters of research included performance assessment,public hospitals,target management,high-quality development,tertiary hospitals,and operational efficiency.Conclusion Performance assessment in tertia-ry public hospitals has received widespread attention,with rich connotations and obvious guiding effects,but further research is needed to deepen and explore related topics.

Objective To analyze the current research status and hotspot issues of performance assessment in tertia-ry public hospitals in China,providing reference for subsequent research and practice.Methods Using"performance assessment of tertiary public hospitals"as the main keyword,a total of 520 articles were retrieved from the CNKI ac-ademic journal database from January 30,2019,to January 30,2024.After further screening of literature based on the inclusion and exclusion criteria,a total of 364 eligible articles were obtained.Visual analysis was conducted using the VOSviewer tool.Results The number of publications increased annually from 2019 to 2021,with a decline ob-served in 2022-2023."Chinese Journal of Health"published the most articles on performance assessment in tertiary public hospitals.Research institutions mainly focused on universities,health administrative departments,and hospi-tals.The hotspot clusters of research included performance assessment,public hospitals,target management,high-quality development,tertiary hospitals,and operational efficiency.Conclusion Performance assessment in tertia-ry public hospitals has received widespread attention,with rich connotations and obvious guiding effects,but further research is needed to deepen and explore related topics.

Objective To analyze the current research status and hotspot issues of performance assessment in tertia-ry public hospitals in China,providing reference for subsequent research and practice.Methods Using"performance assessment of tertiary public hospitals"as the main keyword,a total of 520 articles were retrieved from the CNKI ac-ademic journal database from January 30,2019,to January 30,2024.After further screening of literature based on the inclusion and exclusion criteria,a total of 364 eligible articles were obtained.Visual analysis was conducted using the VOSviewer tool.Results The number of publications increased annually from 2019 to 2021,with a decline ob-served in 2022-2023."Chinese Journal of Health"published the most articles on performance assessment in tertiary public hospitals.Research institutions mainly focused on universities,health administrative departments,and hospi-tals.The hotspot clusters of research included performance assessment,public hospitals,target management,high-quality development,tertiary hospitals,and operational efficiency.Conclusion Performance assessment in tertia-ry public hospitals has received widespread attention,with rich connotations and obvious guiding effects,but further research is needed to deepen and explore related topics.