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.

To investigate the risk factors for acute kidney injury (AKI) following the use of amphotericin B deoxycholate and to develop a predictive model to guide clinical monitoring and intervention.

ObjectiveThis paper aims to explore the action and molecular mechanism of modified Tongluo Tangtai Formula（MTLTT） on myelin damage in diabetic peripheral neuropathy （DPN） based on network pharmacology and in vitro experiments. MethodsThe chemical components of the MTLTT were retrieved from the Traditional Chinese Medicine Systems Pharmacology （TCMSP） database and literature， and the component targets were collected from the SwissTargetPrediction database. The targets of DPN were collected from the GeneCards， OMIM， Disgenet， and GEO databases. Gene ontology （GO） and Kyoto encyclopedia of genes and genomes （KEGG） enrichment analyses were performed using the Metascape database， and a network diagram was constructed using Cytoscape software. The binding actions of core components with glycogen synthase kinase 3 beta （GSK-3β） and β-catenin were analyzed by Autodock Vina. An in vitro DPN model was established by high glucose-induced Schwann cells and dorsal root ganglion cells （SCs/DRGs）. The ultrastructural morphological changes of SCs and DRGs were observed by scanning electron microscope（SEM）， and the expressions of myelin-associated glycoprotein （MAG） and myelin basic protein （MBP） were detected by immunofluorescence staining. The mRNA and protein expression levels of MAG， MBP， myelin protein 0 （P0）， peripheral myelin protein 22 （PMP22）， and Wnt/β-catenin signaling pathway-related protein β-catenin， GSK-3β， Wnt family member 3α （Wnt3α）， and Wnt inhibitory factor-1 （Wif-1） were detected by real-time polymerase chain reaction （Real-time PCR） and Western blot. ResultsNetwork pharmacology analysis revealed that MTLTT components may treat DPN via the Wnt signaling pathway， involving key proteins such as GSK-3β， β-catenin and Wif-1. The molecular docking results indicate that atropine， apigenin， baicalein， isoflavanone， and albiflorin have good binding activity with GSK-3β， and that all 13 core components have stable binding activity with β-catenin. Cell experiments showed that compared with the blank group， SCs and DRGs in the model group exhibited severe morphological and structural abnormalities such as disintegration， shrinkage and axonal rupture， while these abnormal changes were improved after MTLTT intervention. Immunofluorescence results indicated that the fluorescence intensity of MAG and MBP was markedly decreased in the model group relative to the blank group（P<0.01）， while MTLTT treatment obviously upregulated the expression of MAG and MBP compared with the model group （P<0.01）. Real-time PCR and Western blot assays revealed that the expression levels of myelin-related molecules MAG， MBP， P0 and PMP22 were significantly reduced in the model group （P<0.05，P<0.01）， and MTLTT remarkably increased their expression levels （P<0.05）. In the Wnt/β-catenin signaling pathway， the mRNA levels of GSK-3β， Wif-1 and Wnt3α were elevated and β-catenin mRNA expression was declined in the model group （P<0.01）. Meanwhile， the protein expressions of GSK-3β and Wif-1 were upregulated， whereas those of Wnt3α and β-catenin were downregulated （P<0.01）. Compared with the model group， MTLTT at different doses reduced the mRNA and protein levels of GSK-3β and Wif-1 to varying degrees （P<0.05）， and distinctly enhanced the protein expression of Wnt3α and β-catenin（P<0.01）. ConclusionMTLTT can alleviate high glucose-induced myelin damage. Its protective mechanism may promote myelin repair by upregulating the expression of MAG， MBP， P0 and PMP22， and the therapeutic effect is possibly associated with the activation of Wnt/β-catenin signaling pathway.

Purpose: Leptin interacts not only with leptin receptor (LEPR) but also engages with other receptors. While the pro-oncogenic effects of the adrenergic receptor β2 (ADRB2) are well-established, the role of leptin in activating ADRB2 in triple-negative breast cancer (TNBC) remains unclear. Materials and Methods: The pro-carcinogenic effects of LEPR were investigated using murine TNBC cell lines, 4T1 and EMT6, and a tumor-bearing mouse model. Expression levels of LEPR, NADPH oxidase 4 (NOX4), and ADRB2 in TNBC cells and tumor tissues were analyzed via western blot and quantitative real-time polymerase chain reaction. Changes in reactive oxygen species (ROS) levels were assessed using flow cytometry and MitoSox staining, while immunofluorescence double-staining confirmed the co-localization of LEPR and ADRB2. Results: LEPR activation promoted NOX4-derived ROS and mitochondrial ROS production, facilitating TNBC cell proliferation and migration, effects which were mitigated by the LEPR inhibitor Allo-aca. Co-expression of LEPR and ADRB2 was observed on cell membranes, and bioinformatics data revealed a positive correlation between the two receptors. Leptin activated both LEPR and ADRB2, enhancing intracellular ROS generation and promoting tumor progression, which was effectively countered by a specific ADRB2 inhibitor ICI118551. In vivo, leptin injection accelerated tumor growth and lung metastases without affecting appetite, while treatments with Allo-aca or ICI118551 mitigated these effects. Conclusion This study demonstrates that leptin stimulates the growth and metastasis of TNBC through the activation of both LEPR and ADRB2, resulting in increased ROS production. These findings highlight LEPR and ADRB2 as potential biomarkers and therapeutic targets in TNBC.

This study investigated the influence of Leptospira interrogans infection on the expression of the autophagy-related proteinsmyosin-like BCL2 interacting protein(Beclin-1),microtubule-associated proteinlight chain 3B(LC3B),and sequestosome 1(P62).C3H/HeJ mice were infected with L.interrogansserovar stain Lai for construction of an animal model of leptospirosis.Silver strain-ing was used to detect leptospires in lung,liver,and kidney tissues of L.interrogans-infected mice.Histological changes in these tis-sues were detected with hematoxylin and eosin(HE)staining.The morphology of autophagosomes and leptospires in the lung,liver,and kidney tissues of L.interrogans-infected micewere determined through transmission electron microscopy.Expression of the autophagy-related proteins Beclin-1,LC3B,and P62 in the lung,liver,and kidney tissues of L.interrogans-infected C3H/HeJ mice was measured with immunohistochemistry.In these tissues,silver straining examination revealed leptospires.These tissues also showed histopathological changes typical of leptospirosis,such as pulmonary hemorrhage,extensive hepatocyte necrosis,both glomerular and tubular necrosis,and inflammatory cell infiltration;moreover,the leptospires were surrounded by autophagosomes.Immunohistochemi-cal examination indicated elevated expression of both Beclin-1 and LC3B in the lung,liver and kidney tissues of L.interrogans-infected mice(P<0.05),whereas the P62 level was significantly diminished in every tissue sample during L.interrogans infection(P<0.05).These results indicated that autophagy is activated during L.interrogans infection in the lung,liver,and kidney tissues of C3H/HeJ mice.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

Objective To investigate the clinical features of chronic hepatitis C(CHC)patients with hepatitis C virus genotype 3(HCV GT3)infection and the risk factors for disease progression.Methods A multicenter retrospective cohort study was conducted among 1 002 CHC patients from 11 clinical centers in Northwest China from December 2017 to November 2023,and according to their genotype,they were divided into GT1,GT2,GT3,and GT6 groups.Clinical features were compared between the patients with different genotypes.The one-way analysis of variance was used for comparison of normally distributed continuous data between groups,and the Scheffe test was used for further comparison between two groups.The Kruskal-Wallis H test was used for comparison of data with skewed distribution between groups;the chi-square test or Fisher test was used for comparison of categorical data between groups.The multivariate logistic regression analysis was used to explore the influencing factors for the progression of CHC to liver cirrhosis.Results In terms of the genotype,there were 427 patients with GT1 infection,242 with GT2 infection,299 with GT3 infection(210 patients with GT3a infection,87 with GT3b infection,and 2 with unclassified genotype),and 34 with GT6 infection.The patients with GT3 infection had a significantly younger age than those with GT1 infection(51.3±0.5 years vs 53.2±0.6 years,P<0.05)or GT2 infection(51.3±0.5 years vs 53.7±0.8 years,P<0.05),and for the patients with liver cirrhosis,the patients with GT3 infection had a significantly younger age than those with GT1 infection(52.1±0.5 years vs 59.4±0.9 years,P<0.001)or GT2 infection(52.1±0.5 years vs 58.1±1.1 years,P<0.001).Among the patients with GT3 infection,male patients accounted for 77.9%and the patients with liver cirrhosis accounted for 46.2%,which were significantly higher than those among the patients with GT1,GT2 or GT6 infection(all P<0.001).At baseline,the patients with GT3 infection had significantly higher levels of alanine aminotransferase(ALT)and aspartate aminotransferase(AST)than those with GT1 or GT2 infection,significantly higher aspartate aminotransferase-to-platelet ratio index(APRI)and fibrosis-4(FIB4)than those with GT1,GT2 or GT6 infection,a significantly lower platelet count(PLT)than those with GT2 or GT6 infection,a significantly higher level of alpha-fetoprotein than those with GT2 or GT6 infection,and a significantly lower level of albumin(Alb)than those with GT6 infection(all P<0.05).There were no significant differences between the patients with GT3a infection and those with GT3b infection in age,sex,the proportion of patients with liver cirrhosis,comorbidities,HCV RNA quantification,PLT,ALT,AST,alkaline phosphatase,Alb,APRI,and FIB-4(all P>0.05).The multivariate logistic regression analysis showed that PLT≤150×109/L(odds ratio[OR]=10.72,95%confidence interval[CI]:5.76-35.86,P<0.001)and Alb≤35 g/L(OR=3.74,95%CI:1.22-11.45,P=0.021)were risk factors for liver cirrhosis.Conclusion Most CHC patients with GT3 infection are male in Northwest China,and compared with the patients with other genotypes,such patients tend to have a younger age of onset and higher degrees of liver inflammation activity and fibrosis.Low PLT and a low level of Alb are risk factors for progression to liver cirrhosis in CHC patients with GT3 infection.

Objective To establish a high-throughput HPLC method for the simultaneous determination of 11 common antibacterial agents in acyclovir eye drops and to evaluate the quality and safety of the antibacterial agents in 42 batches of national drug inspection samples.Methods Gradient elution was performed on a Kromasil 100-5-C18(4.6 mm×250 mm,5 μm)column with acetonitrile-5 mmol·L-1 ammonium acetate aqueous solution(containing 1%triethylamine,pH adjusted to 4.5 by acetic acid)as the mobile phase.The detection wavelength was 262 nm.Results Good linear relationships were obtained for 11 antibacterial agents(r≥0.999 9).The average recovery range was 98.2%-101.8%,and the RSD was 0.7%-2.7%(n=9).As revealed by the systematic analysis of 42 batches of national drug inspection samples,some batches of samples were detected with out-of-prescription antibacterial agents 4-hydroxybenzoic acid and ethylparaben,and the results were 0.02-49 μg·mL-1.This indicated that ethylparaben degradation and colinear production pollution were the two major risk sources.Conclusions The method is accurate,sensitive,and specific and can be used for the qualitative and quantitative detection of antibacterial agents in acyclovir eye drops.Besides,some products have degradation of antibacterial agents and incomplete cleaning during co-linear production.It is still essential to further reinforce product quality control.