Objective: To systematically characterize the developmental trajectory and interdisciplinary integration of intelligent diagnosis in traditional Chinese medicine (TCM) through quantitative topic evolution analysis, we addressed the fragmentation of existing research and clarified the long-term research structure and evolutionary patterns of the field. Methods: A topic evolution analysis was performed on Chinese-language literature pertaining to intelligent diagnosis in TCM. Publications were retrieved from the China National Knowledge Infrastructure (CNKI), Wanfang Data, and China Science and Technology Journal Database (VIP), covering the period from database inception to July 3, 2025. A hybrid segmentation approach, based on cumulative publication growth trends and inflection point detection, was applied to divide the research timeline into distinct stages. Subsequently, the latent Dirichlet allocation (LDA) model was used to extract research topics, followed by alignment and evolutionary analysis of topics across different stages. Results: A total of 3 919 publications published between 2003 and 2025 were included, and the research trajectory was divided into five stages based on data-driven breakpoint detection. The field exhibited a clear evolutionary shift from early rule-based systems and tongue-pulse image and signal analysis (2006 – 2010), to machine-learning-based syndrome and prescription modeling (2011 – 2015), followed by deep-learning-driven pattern recognition and formula association (2016 – 2020). Since 2021, research has increasingly emphasized knowledge-graph construction, multimodal integration, and intelligent clinical decision-support systems, with recent studies (2024 – 2025) showing the emergence of large language models and agent-based diagnostic frameworks. Topic evolution analysis further revealed sustained cross-stage continuity in syndrome modeling and prescription association analysis, alongside the progressive consolidation of integrated intelligent diagnostic platforms. Conclusion By identifying key technological transitions and persistent core research themes, our findings offer a structured reference framework for the design of intelligent diagnostic systems, the construction of knowledge-driven clinical decision-support tools, and the alignment of AI models with TCM diagnostic logic. Importantly, the stage-based evolutionary insights derived from this analysis can inform future methodological choices, improve model interpretability and clinical applicability, and support the translation of intelligent TCM diagnosis from experimental research to real-world clinical practice.

AIM: To develop a novel gene-delivery therapeutic based on CRISPR/Cas9 genome editing technology capable of specifically targeting and knocking out the VEGFA gene, thereby achieving sustained suppression of VEGFA expression in retinal pigment epithelial(RPE)cells and providing a new strategy for gene therapy in retinal neovascular diseases.METHODS:Single guide RNAs targeting the human VEGFA gene for knockout were designed, and corresponding recombinant plasmids were constructed. A novel polymer(PTEE)was used to encapsulate the plasmids to prepare a PTEE-loaded anti-VEGFA plasmid(PLAP)gene delivery system. PTEE materials at concentrations of 0.1, 0.2, 0.4, 0.8, and 1.6 μg/μL were co-incubated with ARPE-19 cells, and the biocompatibility of PTEE was evaluated using the cell counting kit-8(CCK-8)assay. Recombinant plasmids expressing green fluorescent protein(GFP)were constructed. Lipofectamine 3000 and jetOPTIMUS®DNA transfection reagents were used as control groups, and PTEE nanomaterials were used as the experimental group to encapsulate the plasmids. When the cell confluence reached 80%, the formulations were transfected into ARPE-19 and 293T cells. GFP expression was observed under light microscopy, and the transfection efficiencies of each group were compared. ARPE-19 cells were induced under hypoxia, and PLAP was transfected into the cells. The expression level of VEGFA was detected by enzyme-linked immunosorbent assay(ELISA)to evaluate the efficacy of this novel gene delivery system.RESULTS: After co-incubation of ARPE-19 cells with different concentrations of PTEE for 24 h and 48 h, no significant effect on cell viability was observed in any group. The transfection efficiency of PLAP in ARPE-19 cells was higher than that in the Lipo3000 and jetOPTIMUS groups, with statistically significant differences(P<0.01). Hypoxia for 6 h significantly induced the upregulation of VEGFA mRNA expression in ARPE-19 cells, and under hypoxic conditions, the PTEE group exhibited a significant inhibitory effect on VEGFA expression(P<0.01).CONCLUSION:PLAP exhibits favorable biocompatibility and prominent VEGFA inhibitory effects in vitro, making it a potential candidate drug for gene therapy of retinal neovascular diseases.

AIM:To elucidate the mechanism by which Polygonatum sibiricum polysaccharides(PSP)miti-gate high-sugar diet-induced neuroinflammation through the gut microbiota-serum metabolome axis.METHODS:Fifty male ICR mice were divided into 5 groups:control group,model group,low-dose(250 mg/kg)PSP group,high-dose(500 mg/kg)PSP group,and donepezil hydrochloride(3 mg/kg)group.The neuroinflammation model was established through administration of high-sugar chow and 10%sucrose water for 12 weeks.Cognitive function assessment was per-formed utilizing the Morris water maze.Hippocampal histopathology was examined by hematoxylin-eosin(HE)staining,activated microglia were assessed via immunofluorescence,and neuronal apoptosis was evaluated by TUNEL assay.Serum and hippocampal levels of interleukin-6(IL-6),IL-1β,tumor necrosis factor-α(TNF-α)and nitric oxide(NO)were quantified using ELISA and Western blot.Gut microbiota diversity and serum untargeted metabolomics analyses were car-ried out employing 16S rRNA sequencing and LC-MS/GC-MS,respectively.Differential metabolites were screened,and key metabolic pathways were enriched using MetaboAnalyst 6.0.Spearman correlation analysis established relationships between gut microbiota,metabolites,and inflammatory factors.RESULTS:Model mice demonstrated increased escape latency(P<0.05 or P<0.01)and decreased platform crossings(P<0.01)compared with controls,which were reversed by PSP treatment(P<0.05 or P<0.01).Treatment with PSP substantially reduced IL-6,IL-1β,TNF-α and NO levels in se-rum and hippocampus(P<0.05 or P<0.01),diminished inflammatory infiltration,inhibited microglial activation,and re-duced neuronal damage.Gut microbiota analysis demonstrated that PSP increased Lactobacillus and Bacteroides abun-dance while reducing Alistipes(P<0.05).Metabolomics identified 15 differential metabolites(including betaine,kyotor-phin and ε-caprolactam)and highlighted the significance of alanine,aspartate and glutamate metabolism pathways.Spear-man analysis revealed that abundance of Alistipes and Bacteroides were positively correlated with IL-1β(P<0.05),while abundance of Lactobacillus was negatively correlated with inflammatory factors(P<0.05 or P<0.01).Key metabolites(be-taine,kyotorphin,ε-caprolactam,trans-cinnamate,cis-zeatin and galactitol)showed strong associations with inflamma-tion factors(P<0.05 or P<0.01).CONCLUSION:Treatment with PSP attenuates neuroinflammation through modula-tion of gut microbiota(Lactobacillus,Bacteroides and Alistipes),regulation of metabolites(betaine,kyotorphin and so on),and targeting amino acid metabolism pathways.

Objective To explore the role of postdoctoral talent cultivation in high-quality development of public hospi-tals.Methods The data of 165 postdoctoral fellows were analyzed from Zhongshan Ophthalmology Center,Sun Yat-sen Univer-sity over the past decade.The analysis involved examining the entire management process from recruitment to completion,inclu-ding the improvement of relevant systems,evaluation standards,implementation of hierarchical management,mentor-student in-teractions,and academic exchanges,as well as studying the quality enhancement of the postdoctoral talent pool,research output,and employment analysis.Results The standardized management of whole postdoctoral cultivation process and the continuous improvement of systems significantly enhanced the achievements of postdoctoral fellows in research,publications,and commer-cialization of the scientific and research findings.For instance,from 2018 to 2022,the number of National Science Foundation-funded programs that the postdoctoral fellows obtained accounted for 26.7％of the total number,while the number of provincial and ministerial funded programs accounted for 73.3％.In 2020,the proportion of postdoctoral researchers who obtained the Na-tional Natural Science Foundation of China's Youth Program was 80％of the total.In 2021,the proportion of postdoctoral fellows who published papers with an impact factor of above 10 as the first author or co-first author was 45.83％.Conclusion The training of high-level medical postdoctoral talents is crucial for high-quality development of public hospitals,improving interdisci-plinary adaptability of postdoctoral fellows and collaborative mentorship awareness.

AIM:To elucidate the mechanism by which Polygonatum sibiricum polysaccharides(PSP)miti-gate high-sugar diet-induced neuroinflammation through the gut microbiota-serum metabolome axis.METHODS:Fifty male ICR mice were divided into 5 groups:control group,model group,low-dose(250 mg/kg)PSP group,high-dose(500 mg/kg)PSP group,and donepezil hydrochloride(3 mg/kg)group.The neuroinflammation model was established through administration of high-sugar chow and 10%sucrose water for 12 weeks.Cognitive function assessment was per-formed utilizing the Morris water maze.Hippocampal histopathology was examined by hematoxylin-eosin(HE)staining,activated microglia were assessed via immunofluorescence,and neuronal apoptosis was evaluated by TUNEL assay.Serum and hippocampal levels of interleukin-6(IL-6),IL-1β,tumor necrosis factor-α(TNF-α)and nitric oxide(NO)were quantified using ELISA and Western blot.Gut microbiota diversity and serum untargeted metabolomics analyses were car-ried out employing 16S rRNA sequencing and LC-MS/GC-MS,respectively.Differential metabolites were screened,and key metabolic pathways were enriched using MetaboAnalyst 6.0.Spearman correlation analysis established relationships between gut microbiota,metabolites,and inflammatory factors.RESULTS:Model mice demonstrated increased escape latency(P<0.05 or P<0.01)and decreased platform crossings(P<0.01)compared with controls,which were reversed by PSP treatment(P<0.05 or P<0.01).Treatment with PSP substantially reduced IL-6,IL-1β,TNF-α and NO levels in se-rum and hippocampus(P<0.05 or P<0.01),diminished inflammatory infiltration,inhibited microglial activation,and re-duced neuronal damage.Gut microbiota analysis demonstrated that PSP increased Lactobacillus and Bacteroides abun-dance while reducing Alistipes(P<0.05).Metabolomics identified 15 differential metabolites(including betaine,kyotor-phin and ε-caprolactam)and highlighted the significance of alanine,aspartate and glutamate metabolism pathways.Spear-man analysis revealed that abundance of Alistipes and Bacteroides were positively correlated with IL-1β(P<0.05),while abundance of Lactobacillus was negatively correlated with inflammatory factors(P<0.05 or P<0.01).Key metabolites(be-taine,kyotorphin,ε-caprolactam,trans-cinnamate,cis-zeatin and galactitol)showed strong associations with inflamma-tion factors(P<0.05 or P<0.01).CONCLUSION:Treatment with PSP attenuates neuroinflammation through modula-tion of gut microbiota(Lactobacillus,Bacteroides and Alistipes),regulation of metabolites(betaine,kyotorphin and so on),and targeting amino acid metabolism pathways.

Objective To explore the role of postdoctoral talent cultivation in high-quality development of public hospi-tals.Methods The data of 165 postdoctoral fellows were analyzed from Zhongshan Ophthalmology Center,Sun Yat-sen Univer-sity over the past decade.The analysis involved examining the entire management process from recruitment to completion,inclu-ding the improvement of relevant systems,evaluation standards,implementation of hierarchical management,mentor-student in-teractions,and academic exchanges,as well as studying the quality enhancement of the postdoctoral talent pool,research output,and employment analysis.Results The standardized management of whole postdoctoral cultivation process and the continuous improvement of systems significantly enhanced the achievements of postdoctoral fellows in research,publications,and commer-cialization of the scientific and research findings.For instance,from 2018 to 2022,the number of National Science Foundation-funded programs that the postdoctoral fellows obtained accounted for 26.7％of the total number,while the number of provincial and ministerial funded programs accounted for 73.3％.In 2020,the proportion of postdoctoral researchers who obtained the Na-tional Natural Science Foundation of China's Youth Program was 80％of the total.In 2021,the proportion of postdoctoral fellows who published papers with an impact factor of above 10 as the first author or co-first author was 45.83％.Conclusion The training of high-level medical postdoctoral talents is crucial for high-quality development of public hospitals,improving interdisci-plinary adaptability of postdoctoral fellows and collaborative mentorship awareness.

Objective: To investigate the situation of road traffic injuries (RTIs) among middle school students in Shaoxing City, Zhejiang Province, so as to provide the basis for implementation of interventions against RTIs among students. Methods: From 2021 to 2023, a multi-stage stratified cluster sampling method was used to select 82 junior high school classes and 89 senior high school classes in Shaoxing City as the survey population. Data on basic information, commuting travel, road safety behaviors and road safety knowledge awareness were collected through questionnaires, and the prevalence of RTIs in the past year was analyzed. Results: A total of 6 287 middle school students were surveyed, and 971 cases of RTIs were reported, with a reporting rate of 15.44%. The reporting rate of RTIs was higher in males than in females (17.68% vs. 13.34%, P<0.05). The reporting rate of RTIs was higher in high school students than in junior high school students (17.70% vs. 12.66%, P<0.05). The students who mainly walked to school (18.00%), walked 5 days a week (17.82%) and traveled with classmates (17.58%) had higher reporting rates of RTIs. Among those who walked for ≥20 minutes, the reporting rate of RTIs was higher in males than in females (P<0.05). Among different road safety behaviors, the reporting rate of RTIs was higher in males than in females who used electronic devices (P<0.05). The reporting rates of RTIs were relatively high among students who played for ≥10 minutes on the way (32.92%), crossed traffic lights directly when being late for school (41.54%) and crossed traffic barriers directly (30.67%). The reporting rate of RTIs among middle school students decreased with the increase of road safety knowledge scores (P<0.05). Conclusions Male students, high school students, students with road risky behaviors and with low awareness of road safety knowledge have higher reporting rates of RTIs. It is necessary to strengthen road safety knowledge education for students.

Under the "patient-centered" drug regulation concept,the inclusion of patient dimensions in real-world evidence becomes increasingly important. Patient experience data can complement and interpret existing data,generate evidence directly from patients,and achieve patient participation in drug development. Data types include patient-reported outcomes and free-text data,which can be collected autonomously or obtained from databases. Application scenarios involve new drug registration,safety evaluation,and additional indications. In China,applying patient experience data to real-world study mainly faces the following challenges:lack of conditions,standards,and motivation to collect high-quality data,a single type of data,and the difficulty of balancing data security with freedom,etc. It is recommended to issue special guidelines,establish a measurement tool certification process,expand data collection channels,explore data source integration methods,optimize the informed consent mechanism,and establish an evidence synergy mechanism to promote the practical application of the "patient-centered" concept in real-world study of drugs.

Background The tobacco epidemic as one of the most serious public health problems in the world contributes great harm to human health. It is urgent to develop tobacco control strategy. Civil servants' behaviors as a role model for society have a great influence on the rest of society. Thus, it is important to promote tobacco control program on helping civil servants to quit smoking. Objective To understand the smoking and second-hand smoking exposures status, the awareness of knowledge of tobacco hazards, and the attitudes to tobacco control policies of civil servants in Minhang District, Shanghai. Furthermore, to explore the related strategies and measures for tobacco control, to provide a basis for the development and revision of relevant intervention measures and policies. Methods A total of 20 government agencies with newly installed smoking-free programs from 10 subdistricts and towns in Minhang District, including Xinzhuang, Wujing, Maqiao, Qibao, Meilong, Hongqiao, Zhuanqiao, Jiangchuan, Gumei, and Xinhong were selected as study sites.A questionnaire survey was conducted to investigate all civil servants (n=801) of selected agencies. The questionnaire included general characteristics, smoking and second-hand smoking exposure status, knowledge of tobacco hazard, and attitudes to tobacco control policies. Results A total of 794 civil servants returned valid questionnaires. The awareness rate of tobacco hazards in the smoking group was lower than that in the non-smoking group (P<0.05). Relatively high smoking rates were reported in those being male (17.08%), age ≥51 years old (25.61%), divorced or widowed (12.50%), technical secondary school or below education level (22.81%), having more than 10 years of working years (11.57%), being willing to dissuade indoor smoking (24.54%), having no punishment or warning measures for violation of smoking regulations in workplaces (18.37%), and having no dedicated smoking spot at home (15.38%). The results of multiple logistic regression analysis showed that age 31-40 years old (OR=3.446, 95%CI: 1.236-9.609) and to avoid confronting indoor smoking (OR=3.686, 95%CI: 1.041-13.049) were risk factors for smoking in civil servants. Conclusion Civil servants aged 31-40 years old who deliberately avoid confronting indoor smoking behaviors are the key intervention population of smoking control in Minhang District, Shanghai.

Objective:To explore the value of the Chinese version of the test of everyday attention (TEA) for diagnosing attention deficit after brain injury, and to determine the best cut-off value for each subtest.Methods:A total of 117 healthy adults and 33 brain-injured patients were evaluated using the TEA (Chinese version). The original scores of each sub-test were obtained and statistically compared between the control group and the brain injury group. Receiver operating characteristics (ROC) curves were used to determine the optimal cutoff values in each subtest for diagnosing attention deficits.Results:Significant differences were found between the two groups. Except for the elevator counting test, the area under the ROC curves of all the other subtests (Map Search, Elevator Counting with Distraction, Visual Elevator, Elevator Counting with Reversal, Telephone Search, Telephone Search while Counting and lottery) were between 0.795 and 0.955. The average sensitivities were in the range 74.1-97.0% and the specificities were 58.8% to 94.1%. Maximum Youden indices were used to determine optimal diagnostic cut-off values for each subtest.Conclusions:The TEA (Chinese version) has good clinical applicability. It can be used to diagnose and differentiate different types of attention deficits.