Objective: To develop QingNangTCM, a specialized large language model (LLM) tailored for expert-level traditional Chinese medicine (TCM) question-answering and clinical reasoning, addressing the scarcity of domain-specific corpora and specialized alignment. Methods: We constructed QnTCM_Dataset, a corpus of 100 000 entries, by integrating data from ShenNong_TCM_Dataset and SymMap v2.0, and synthesizing additional samples via retrieval-augmented generation (RAG) and persona-driven generation. The dataset comprehensively covers diagnostic inquiries, prescriptions, and herbal knowledge. Utilizing P-Tuning v2, we fine-tuned the GLM-4-9B-Chat backbone to develop QingNangTCM. A multi-dimensional evaluation framework, assessing accuracy, coverage, consistency, safety, professionalism, and fluency, was established using metrics such as bilingual evaluation understudy (BLEU), recall-oriented understudy for gisting evaluation (ROUGE), metric for evaluation of translation with explicit ordering (METEOR), and LLM-as-a-Judge with expert review. Qualitative analysis was conducted across four simulated clinical scenarios: symptom analysis, disease treatment, herb inquiry, and failure cases. Baseline models included GLM-4-9B-Chat, DeepSeek-V2, HuatuoGPT-II (7B), and GLM-4-9B-Chat (freeze-tuning). Results: QingNangTCM achieved the highest scores in BLEU-1/2/3/4 (0.425/0.298/0.137/0.064), ROUGE-1/2 (0.368/0.157), and METEOR (0.218), demonstrating a balanced and superior normalized performance profile of 0.900 across the dimensions of accuracy, coverage, and consistency. Although its ROUGE-L score (0.299) was lower than that of HuatuoGPT-II (7B) (0.351), it significantly outperformed domain-specific models in expert-validated win rates for professionalism (86%) and safety (73%). Qualitative analysis confirmed that the model strictly adheres to the “symptom-syndrome-pathogenesis-treatment” reasoning chain, though occasional misclassifications and hallucinations persisted when dealing with rare medicinal materials and uncommon syndromes. Conclusion Combining domain-specific corpus construction with parameter-efficient prompt tuning enhances the reasoning behavior and domain adaptation of LLMs for TCM-related tasks. This work provides a technical framework for the digital organization and intelligent utilization of TCM knowledge, with potential value for supporting diagnostic reasoning and medical education.

Electroencephalogram(EEG)refers to the electrical activity generated by neuronal discharges in the human brain,conventionallyrecorded on the scalp of the brain.EEG technology enables the non-invasive detection of electrophysiological activity in neuronal populations within the cerebral cortex,capturing millisecond-level changes in brain potentials with high temporal resolution.In recent years,lots of international researchers have leveraged EEG technology to investigate smoking addiction and further explore the millisecond-level electrophysiological changes in the brains of smokers.This review synthesizes recent advances in resting-state EEG and task-evoked event-related potential research among smokers,summarizing the electrophysiological activity changes associated with smoking addiction.Future researches will employ both longitudinal tracking and machine learning algorithms to further reveal the relationship between EEG signatures and smoking behaviors,thereby providing a scientific foundation for early intervention and treatment strategies targeting smoking addiction.

BACKGROUND:The imbalance between proliferation and apoptosis of chondrocytes plays an important role in the occurrence and development of osteoarthritis. Previous studies have found that hsa-miR-3202 is involved in regulating the proliferation and apoptosis of various cells. However,no studies have explored the correlation between hsa-miR-3202 and osteoarthritis.OBJECTIVE:To investigate the expression of hsa-miR-3202 in osteoarthritic chondrocytes and its effect on the proliferation and apoptosis of chondrocytes. METHODS:(1) MicroRNAs differentially expressed in osteoarthritic chondrocytes were screened by biogenic analysis. Based on the current research situation at home and abroad,hsa-miR-3202 was selected for follow-up studies,and its target genes were predicted by gene ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment. (2) Human normal chondrocyte cell lines C28/I2 in logarithmic growth phase were selected and randomly divided into four groups for culture:in normal group,cells were cultured in normal medium for 24 hours,the medium was then changed to normal medium for another 6 hours of culture,and changed to normal medium for subsequent culture;in lipopolysaccharide group,cells were cultured in lipopolysaccharide-containing medium for 24 hours,the medium was then changed to normal medium for another 6 hours,and changed to normal medium for subsequent culture;in lipopolysaccharide+NC group,cells were cultured in lipopolysaccharide-containing medium for 24 hours,and then transfected with has-miR-3202 mimics control for 6 hours,and the medium was change to normal medium for subsequent culture;in lipopolysaccharide+hsa-miR-3202 mimics group,cells were cultured in lipopolysaccharide-containing medium for 24 hours and then transfected with has-miR-3202 mimics for 6 hours,and the medium was changed to normal medium for subsequent culture. After further 48 hours of culture,the expression level of hsa-miR-3202 was detected by fluorescence quantitative PCR and cell apoptosis was detected by flow cytometry. After further culture of 0-72 hours,cell proliferation activity was detected by cell counting kit-8. RESULTS AND CONCLUSION:Bioinformatics analysis results indicated that hsa-miR-3202 was significantly down-regulated in osteoarthritic chondrocytes. GO functional enrichment and KEGG pathway enrichment showed that the function of hsa-miR-3202 target gene was closely related to cell growth and apoptosis. The results of in vitro cell experiments showed that compared with the normal group,the expression level of hsa-miR-3202 and proliferation ability of chondrocytes were significantly decreased in the lipopolysaccharide group (P<0.05),while the apoptotic rate was significantly increased (P<0.05). Compared with the lipopolysaccharide group,the expression level of hsa-miR-3202 and proliferation ability of chondrocytes were significantly increased in the lipopolysaccharide+hsa-miR-3202 mimics group (P<0.05),while the apoptotic rate was significantly decreased (P<0.05). To conclude,the expression of hsa-miR-3202 is down-regulated in osteoarthritic chondrocytes to inhibit cell proliferation and promote cell apoptosis,thus affecting the occurrence and development of osteoarthritis.

Objective:To establish and validate a prediction model based on least absolute shrinkage and selection operator（LASSO）regression and classification and regression tree（CART）algorithm for acute kidney injury（AKI）in PICU.Methods:The prospective derivation cohort consisted of 350 critically ill children admitted to the PICU of Children′s Hospital of Soochow University from September 2020 to January 2021.The external data set consisting of 866 critically ill children admitted to the PICU of Children′s Hospital of Soochow University from February 2021 to February 2022 was employed for the external validation.Clinical data was obtained from the electronic medical record system，including demographic characteristics，laboratory data and the pediatric risk of mortality Ⅲ（PRISM Ⅲ）score.The variables associated with AKI were identified using LASSO regression.Subsequently，a decision tree prediction model was built using the CART algorithm.The predictive value of decision tree prediction model was evaluated using the receiver operating characteristic（ROC）curve，calibration curve，and decision curve analysis.Results:Among the 350 children in the derivation cohort，107（30.6%）developed AKI during the PICU stay；and of 866 children in the external validation cohort，165（19.1%）developed AKI during the PICU stay.The LASSO regression screened 16 candidate variables for further analysis，and the decision tree model ultimately identified 4 variables more closely associated with AKI，including fold change in serum creatinine from baseline，urine volume，PRISM Ⅲ，and C-reactive protein.The decision tree model exhibited high accuracy with AUC of 0.92，0.88，and 0.86 in the training，internal validation，and external validation cohorts，respectively.The model demonstrated good calibration and clinical applicability based on the calibration curve and decision curve analysis.Conclusion:The decision tree model based on the 4 identified clinical indicators，including fold change in serum creatinine from baseline，urine volume，PRISM Ⅲ，and C-reactive protein，is effective for the early prediction of AKI.

Objective:To identify different subtypes of patients with preeclampsia(PE)through clinical liver function index data-driven the cluster analysis,to explore the correlation between liver function of different sub-types and pregnancy complications.Methods:From January 2012 to December 2022,the general data of 2230 sin-gleton pregnant women with PE who underwent prenatal examination and delivered in Fujian Maternity and Child Health Hospital were collected.Using 13 liver function indexes before delivery as baseline variables,all included subjects were classified into subtypes by cluster method.The clinical characteristics of different subtypes of PE patients were compared.Single-factor Logistic regression was used to analyze the risk of pregnancy complications among subtypes.Results:PE patients were divided into 3 subgroups that represented different characteristics of patients' liver function.The first subtype(n=1065)exhibited abnormal liver enzymology index characterized by in-creased alkaline phosphatase(ALP)level.The second subtype(n=648)showed abnormal bilirubin metabolism index with the highest levels of total bilirubin(TBIL),direct(DBIL)and indirect bilirubin(IBIL).The third subtype(n=517)had abnormal liver enzymology indexes with elevated alanine aminotransferase(ALT)and aspartate aminotransferase(AST)levels,abnormal bile acid detection indexes with elevated total bile acid(TBA)levels,and abnormal liver synthesis function indexes with decreased total protein(TP),albumin(ALB),and globulin lev-els(GLB).Significant differences were observed among the three subtypes in age,severe PE,anemia,cardiac dysfunction,and renal dysfunction(P＜0.05).Single-factor Logistic regression demonstrated that the third sub-type had significantly higher risks of intrahepatic cholestasis of pregnancy,fetal growth restriction,premature rup-ture of membranes,and preterm birth compared to the first and second subtypes(P＜0.05),as well as a higher risk of placental abruption than the second subtype(P＜0.05).The first subtype had higher risks of placental ab-ruption and fetal growth restriction than the second subtype(P＜0.05).Conclusions:Cluster analysis could be used to subclassify PE patients by liver function characteristics,so as to identify the occurrence of pregnancy complications.The results had significance for understanding the heterogeneity of PE and promoting individualized management.

Objective: To explore the associations of moderate to vigorous intensity physical activity (MVPA) and sedentary behavior (SB) among primary and secondary school students and their parents, so as to provide a scientific basis for formulating targeted physical activity promotion strategies for children and adolescents. Methods: From 2021 to 2022, basic information and 24 h movement behaviors of 2 484 pairs of students and their parents were collected from five primary and secondary schools in Haizhu District, Guangzhou City, with a convenient sampling combining with cluster sampling method. Component regression models were constructed to analyze the relationship between parental MVPA, SB and primary and secondary school students MVPA and SB, and a component isochronous substitution model was used to explore the effects of mutual substitution between parental MVPA, residual components (time use components other than SB during the 24 h period), and SB on the behavioral activities of MVPA and SB in primary and secondary school students. Results: Parental MVPA and SB of students in grade 1 to 3 were positively correlated with both students MVPA and SB ( β=0.06, 0.12, P <0.01). The component isochronous substitution model showed that substituting 10 and 20 minutes of MVPA for SB by parents in grade 1 to 3 was associated with an increase in MVPA of students, and substituting 10 and 20 minutes of residual ingredients for SB was associated with a decrease in SB of students, with mean changes of 0.8 (95% CI =0.4-1.2) and 1.4 (95% CI =0.7-2.2) and -1.4 (95% CI =-1.7 to -1.1) and -2.9 (95% CI =-3.4 to -2.3)( P <0.05). No statistically significant associations were observed between parents of students in grades 4 to 6 and 7 to 9 and students physical activity and sedentary behaviour ( P >0.05). Conclusions Parents of students in grades 1 to 3 increases MVPA and decrease SB are beneficial to increase MVPA and decrease SB of students. Parents could promote physical activity among primary and secondary school students, and the intervention gateway should be advanced, with the low grades as the optimal intervention period.

BACKGROUND:The imbalance between proliferation and apoptosis of chondrocytes plays an important role in the occurrence and development of osteoarthritis. Previous studies have found that hsa-miR-3202 is involved in regulating the proliferation and apoptosis of various cells. However,no studies have explored the correlation between hsa-miR-3202 and osteoarthritis.OBJECTIVE:To investigate the expression of hsa-miR-3202 in osteoarthritic chondrocytes and its effect on the proliferation and apoptosis of chondrocytes. METHODS:(1) MicroRNAs differentially expressed in osteoarthritic chondrocytes were screened by biogenic analysis. Based on the current research situation at home and abroad,hsa-miR-3202 was selected for follow-up studies,and its target genes were predicted by gene ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment. (2) Human normal chondrocyte cell lines C28/I2 in logarithmic growth phase were selected and randomly divided into four groups for culture:in normal group,cells were cultured in normal medium for 24 hours,the medium was then changed to normal medium for another 6 hours of culture,and changed to normal medium for subsequent culture;in lipopolysaccharide group,cells were cultured in lipopolysaccharide-containing medium for 24 hours,the medium was then changed to normal medium for another 6 hours,and changed to normal medium for subsequent culture;in lipopolysaccharide+NC group,cells were cultured in lipopolysaccharide-containing medium for 24 hours,and then transfected with has-miR-3202 mimics control for 6 hours,and the medium was change to normal medium for subsequent culture;in lipopolysaccharide+hsa-miR-3202 mimics group,cells were cultured in lipopolysaccharide-containing medium for 24 hours and then transfected with has-miR-3202 mimics for 6 hours,and the medium was changed to normal medium for subsequent culture. After further 48 hours of culture,the expression level of hsa-miR-3202 was detected by fluorescence quantitative PCR and cell apoptosis was detected by flow cytometry. After further culture of 0-72 hours,cell proliferation activity was detected by cell counting kit-8. RESULTS AND CONCLUSION:Bioinformatics analysis results indicated that hsa-miR-3202 was significantly down-regulated in osteoarthritic chondrocytes. GO functional enrichment and KEGG pathway enrichment showed that the function of hsa-miR-3202 target gene was closely related to cell growth and apoptosis. The results of in vitro cell experiments showed that compared with the normal group,the expression level of hsa-miR-3202 and proliferation ability of chondrocytes were significantly decreased in the lipopolysaccharide group (P<0.05),while the apoptotic rate was significantly increased (P<0.05). Compared with the lipopolysaccharide group,the expression level of hsa-miR-3202 and proliferation ability of chondrocytes were significantly increased in the lipopolysaccharide+hsa-miR-3202 mimics group (P<0.05),while the apoptotic rate was significantly decreased (P<0.05). To conclude,the expression of hsa-miR-3202 is down-regulated in osteoarthritic chondrocytes to inhibit cell proliferation and promote cell apoptosis,thus affecting the occurrence and development of osteoarthritis.

Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System（BRICS）during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute（CLSI）. Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus（ n=1 544，35.2%），coagulase-negative Staphylococci（ n=1 441，32.9%）， Enterococcus faecium（ n=574，13.1%）， Enterococcus faecalis（ n=385，8.8%），and α-hemolytic Streptococci（ n=187，4.3%）. The prevalence of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococci（MRCNS）was 26.2%（405/1 544）and 69.8%（1 006/1 441），respectively. Notably，all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility（>97.0%）to cephalobiol，rifampicin，trimethoprim-sulfamethoxazole，linezolid，minocycline，tigecycline，and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium（resistance to vancomycin and teicoplanin：both 1.7%）compared to Enterococcus faecalis（both 0.3%）. The detection rates of MRSA and MRCNS exhibited significant regional variations across the country（ χ2=17.674 and 148.650，respectively，both P<0.001）. No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA（ χ2=14.111， P<0.001）and MRCNS（ χ2=4.828， P=0.028）in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA（ χ2=18.986， P<0.001）and MRCNS（ χ2=4.477， P=0.034）in less developed regions（per capita GDP

Objective:To report the results of bacterial resistant investigation collaborative system（BRICS）on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023，and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 were used to analyze the data.Results:During the study period，11 492 strains of Gram-negative bacteria were collected from 60 hospitals，of which 10 098（87.9%）were Enterobacterales and 1 394（12.1%）were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli（50.0%）， Klebsiella pneumoniae（26.1%）， Pseudomonas aeruginosa（5.1%）， Acinetobacter baumannii complex（5.0%）and Enterobacter cloacae complex（4.1%）. The ESBL-producing rates in Escherichia coli， Klebsiella pneumoniae and Proteus mirablilis were 46.8%（2 685/5 741），18.3%（549/2 999）and 44.0%（77/175），respectively. The prevalence of carbapenem-resistant Escherichia coli（CREC）and carbapenem-resistant Klebsiella pneumoniae（CRKP）were 1.3%（76/5 741）and 15.0%（450/2 999）；32.9%（25/76）and 78.0%（351/450）of CREC and CRKP were sensitive to ceftazidime/avibactam combination，respectively. 94.7%（72/76）and 90.2%（406/450）of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore，57.9%（44/76）and 79.1%（356/450）were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex was 64.6%（370/573），while more than 80.0% of CRAB complex was sensitive to tigecycline，eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CRPA）was 17.0%（99/581）. There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China，with statistically significant differences in the prevalence of CREC，CRKP，CRPA and CRAB complex（ χ2=10.6，28.6，10.8 and 19.3， P<0.05）. The prevalence of ESBL-producing Escherichia coli， CREC，CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals（ χ2=12.5，9.8，12.7 and 57.8，all P<0.01）. Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China，and Escherichia coli is ranked in the top，while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend，CREC infecton maintains a low prevalence level，and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.

Iron is involved in several activities in the brain, including energy metabolism, neurotransmitter transmission, and myelination. Disorder of peripheral iron metabolism and excessive iron accumulation in the brain can reduce cognitive and behavioral ability through pathological mechanisms such as inflammatory response and abnormal protein expression, leading to cognitive disorders. Quantitative susceptibility mapping (QSM), as a new non-invasive magnetic resonance technique, can quantitatively measure brain iron deposition, clarify the relationship between cognitive disorders and iron homeostasis imbalance, and provide a basis for clinical diagnosis and treatment of the diseases. This article reviews the latest research progress of QSM in brain iron deposition associated with cognitive disorders.