To explore the advantages of traditional Chinese medicine （TCM） and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications （DMC）， refine key pathophysiological insights and treatment principles， and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine， hosted by the China Association of Chinese Medicine， was held in Beijing， 2024. Experts in TCM， Western medicine， and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis， diagnostic and treatment challenges， and mechanism research related to DMC， ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development， research prioritization， and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM， strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.

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.

BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95％Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2％and a specificity of 87.6％,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1％to 92％,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.

BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95％Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2％and a specificity of 87.6％,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1％to 92％,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.

Triptolide （TP）， the core active component of the traditional Chinese medicine Tripterygium wilfordii ， exhibits remarkable pharmacological activities including anti-inflammatory， immunosuppressive and anti-tumor effects， and holds broad application prospects in the treatment of major diseases such as autoimmune diseases and malignant tumors. However， TP has a narrow therapeutic window and causes multi-organ toxicities including liver， kidney and reproductive toxicities， which severely restrict its safe clinical application and new drug development. Therefore， toxicity reduction and efficacy enhancement has become a core scientific problem urgently to be solved in this field. This paper systematically reviews the four core strategies for TP toxicity reduction and efficacy enhancement， including structural modification， dosage form improvement， herbal compatibility， and external therapies of traditional Chinese medicine. Among them， structural modification optimizes the toxic and efficacy characteristics of TP from the molecular structure level， with typica l derivatives including （5 R ）-5-hydroxy triptolide， ZT01， PG490-88， etc. Dosage form modification achieves toxicity reduction and efficacy enhancement via targeted and sustained-controlled drug release of diverse delivery systems. It includes triptolide preparations such as nanoparticles， liposomes， microemulsion gels and liquid crystals， possessing favorable clinical transformation potential. The herbal compatibility and external therapies of traditional Chinese medicine conform to the holistic view of traditional Chinese medicine and have a profound clinical application foundation， but their mechanisms of action are insufficiently elucidated， and they lack unified standardized specifications and high-quality evidence-based proof. In the future， we should rely on multi-omics technology to elucidate the toxic and efficacy mechanisms， integrate technologies to optimize preparations， improve the evaluation system and promote clinical transformation.

Objective:To analyze the multidrug resistance and genomic characteristics of Monophasic variant of Salmonella enterica serovar Typhimurium (monophasic Salmonella enterica serovar Typhimurium) isolates from clinical patients and food sources in Henan province. Method:A total of 91 monophasic S.Typhimurium strains isolated from clinical and food sources in Henan from 2021 to 2023 were analyzed for antimicrobial sensitivity and underwent whole genome sequencing. Multilocus sequence typing(MLST), multidrug resistance genes and plasmid types were identified using the sequencing data. Phylogenetic tree based on core genome multilocus sequence typing (cgMLST) and single nucleotide polymorphism (SNP) sites was constructed to analyze the genetic evolutionary relationship by comparing with international popular strains in public databases. The Chi-square test was used to compare drug resistance rates. Results:No significant difference was observed in the drug resistance rates between the clinical strains and food strains in Henan [82.19%(60/73) and 11/18, χ2=2.614, P=0.106]. The overall multidrug resistance (MDR) rate was 78.02%(71/91). Most strains were resistant to ampicillin, tetracycline chloramphenicol, β-lactam and sulfonamides. Resistance genes carried by the isolates varied, as well as the drug-resistant phenotypes. MLST showed that 91 strains of S.Typhimurium belonged to ST34 and carried aminoglycoside acetyltransferase gene aac(6′)-Iaa and mobile genetic elements such as plasmids IncQ1 and IncHI2/IncHI2A. The results of cgMLST typing phylogenetic trees showed that food and clinical isolates from the same region in Henan were identified as the same cgST type and clustered in the same branch, which indicated the risk for cross-infection between animal and human. The phylogenetic tree of monophasic S.Typhimurium constructed based on SNP sites showed that the majority of monophasic S.Typhimurium strains in Henan were close to the strains from other provinces in China, other strains were close to the strains from Europe and Southeast Asia, suggesting the possibility of cross regional transmission of the strains. Pork was identified as the main food source. Conclusion:The prevalent ST type of monophasic S.Typhimurium isolated from Henan was ST34, which carried multiple antibiotic resistance genes and widespread drug resistance phenotypes. Most of the monophasic S.Typhimurium isolates in Henan showed a specific phylogenetic lineage with the foreign epidemic strains, indicating the possibility of dissemination of strains between humans and food.

Objective:To evaluate the sample preparation proficiency and storage proficiency of 11 clinical biobanks in Beijing through simulated experiments, and to establish an assessment method for the quality comparability of biological samples.Methods:An exploratory research design was adopted. In November 2023, artificial composite serum quality control materials containing six recombinant human protein markers—recombinant human alanine aminotransferase (rhALT), recombinant human aspartate aminotransferase (rhAST), recombinant human creatine kinase (rhCK), recombinant human creatine kinase-MB (rhCK-MB), recombinant human B-type natriuretic peptide (rhBNP), and recombinant human troponin I (rhTNI)—were distributed to 11 clinical biobanks in Beijing City. Sample preparation and storage followed the standardized operating procedures. Proficiency differences were assessed through statistical analysis.Results:Three-way repeated measures ANOVA revealed all six protein markers showed a declining trend over storage time in ultra-low-temperature environments ( F values 11.68-4 179.66, all P<0.01). However, neither long-term/temporary refrigerator types ( F values 0.01-1.23, all P>0.05)nor placement locations within refrigerators significantly affected the stability of these six proteins ( F valus 0.03-1.47, all P>0.05). The biases in detection results for rhALT, rhAST, rhTNI, and rhBNP at different storage time points were within the allowable bias limits for each item, supporting their use as markers for protein stability in biobank samples. All 11 institutions passed the storage proficiency assessment. In the preparation proficiency assessment, deviations were observed in post-preparation sample results, with a notably high out-of-control rate for rhCK (36.36%). Conclusion:Sample preparation proficiency can serve as a quality control metric for clinical biobanks. Future external quality assessment systems for biobanks should focus on sample preparation rather than storage processes.

Objective To study the current status of the randomized controlled trial(RCT)outcome indicators of acupuncture and moxibustion in the treatment of chronic fatigue syndrome(CFS);To provide guidance and references for clinical research and protocol design.Methods RCT of acupuncture and moxibustion for CFS were retrieved from CNKI,Wanfang Data,VIP,SinoMed,PubMed,Embase,Web of Science databases from January 1,2015 to December 9,2024.Through literature screening and data extraction,Excel 2019 was used to make a descriptive analysis of the basic characteristics,diagnostic criteria,intervention measures,classification of outcome indicators,use frequency and evaluation time points of the included studies.Origin2021 software was used to draw bubble charts for visual display.Results Totally 119 RCT were included,involving 8 445 subjects,5 diagnostic criteria of Western medicine,5 diagnostic criteria of TCM,and 6 outcome indicators,namely clinical symptoms/signs,symptoms/syndrome of TCM,physical and chemical examination,quality of life,safety evaluation,and patient satisfaction.A total of 58 outcome indicators were reported,with a cumulative frequency of 430 times.Conclusion The RCT of acupuncture and moxibustion treatment of CFS have some problems,such as incomplete baseline assessment,lack of sample size calculation basis,high risk of bias,ignorance of primary and secondary indicators in the selection of outcome indicators,numerous indicators selection and measurement points,lack of long-term follow-up,inconsistent evaluation criteria for TCM syndrome efficacy,and insufficient attention to health economics evaluation and safety outcome indicators.

Objective:To analyze the levels of thrombin generation and activated protein C resistance (APC-R) in lupus anticoagulant (LA)-positive patients, and to assess their effectiveness in predicting thrombotic risk in these patients.Methods:Retrospective case-control study. A total of 185 patients with positve LA [91 males, 94 females; age (47.59±19.14) years] in Ruijin Hospital of Shanghai Jiaotong University School of Medicine from November 1st, 2024 to March 31st, 2025 were included. Patients were stratified into thrombotic ( n=91) and non-thrombotic groups ( n=94) based on clinical diagnosis and imaging evidence of thrombosis. The basic characteristics and routine laboratory coagulation levels of LA-positive patients were analyzed. Post-test plasma samples were collected from 43 cases with positive or strongly positive LA, categorized into thrombotic ( n=23) and non-thrombotic ( n=20) groups. Additionally, plasma was collected from 80 healthy controls [40 males and 40 females, age (38.37±15.74) years]. Using simple random sampling method, plasma samples from 10 selected males and 10 selected females were mixed to make 1 group of healthy control, thus accordingly resulted in a total of 4 healthy control groups. Thrombin generation assays (TGA) were then employed to measure prothrombin generation and activated protein C resistance (APC-R) levels in the healthy control, non-thrombotic, and thrombotic groups. One-way analysis of variance was utilized to compare thrombin generation and APC-R levels across these groups. Results:Among the routine laboratory coagulation indexes, the median levels of activated partial thromboplastin time (APTT), fibrin degradation product (FDP) and protein C (PC) in thrombotic group were 30.9 (28.8, 35.5) s, 2.5 (1.3, 2.8) mg/L, and 107.0 (93.0, 127.0)%, respectively, which were significantly higher compared with the non-thrombosis group (all P<0.05). However, between the thrombotic and non-thrombotic group, no statistically significant differences were observed for the levels of prothrombin time (PT), thrombin time (TT), fibrinogen (Fg), or D-dimer (D-D) ( P>0.05). The TGA results showed that the total thrombin generation, the maximal thrombin generation and APC-R levels of patients in the thrombotic group were (1 118.72±387.34) nmol/L·min, (106.01±59.00) nmol/L and (0.33±0.22), respectively, which were significantly higher compared with those in the non-thrombotic group (all P<0.05). Conclusion:Significantly increased thrombin generation and enhanced APC-R were present in the LA-positive patients with thrombosis, indicating the important values of thrombin generation and APC-R in assessing thrombosis risk among this population.

Objective To observe the impact of brain-computer interface(BCI)robot combined with task-oriented training(TOT)on hand function and activities of daily living in stroke patients.Methods A total of 40 patients with subacute stroke who were hospitalized in the Department of Rehabilitation Medicine of Anhui No.2 Province People's Hospital from December 2022 to December 2024 were prospectively and consecutively included in this study.The stroke patients were randomly assigned to the experimental group and the control group using the random number table method,with 20 cases in each group.Baseline data were collected from all patients,including gender,age,personal history(smoking,drinking),past medical history(hypertension,diabetes),stroke type(hemorrhagic stroke,ischemic stroke),hemiplegia side(left,right),disease course,stroke location(basal ganglia,internal capsule),and admission assessment indicators(including kinesthetic and visual imagery questionnaire[KVIQ-20]score,mini-mental state examination[MMSE]score and National Institutes of Health stroke scale[NIHSS]score).Both groups of patients received conventional rehabilitation training and TOT.The experimental group then underwent BCI robot training combined with TOT on this basis.Both groups received treatments for 4 weeks,and the upper limb and hand functions of all patients were evaluated using the Fugl-Meyer upper extremity function assessment scale(FMA-UE),the wrist-hand part of the FMA-UE scale(FMA-WH),the Wolf motor function test(WMFT),and the modified Ashworth scale(MAS)before and after the treatment;the hand function related part(feeding[10 score],bathing[5 score],dressing[10 score],grooming[5 score],and toilet using[10 score])of modified Barthel index(MBI)was used to assess the patients'hand dexterity to perform daily activities.Results(1)No statistically significant differences were found in the baseline data between the two groups of patients(all P＞0.05).(2)Before treatment,the scores of FMA-UE,FMA-WH,WMFT,MAS and hand function related score of MBI in the experimental group were(18.75±7.38),(2.95±1.54),(26.90±8.69),(1.10±0.66),and(15.45±1.82)respectively,while those in the control group were(15.90±5.39),(2.25±1.12),(24.15±6.78),(1.25±0.60),and(15.65±3.12)respectively.There were no statistically significant differences in the scores of FMA-UE,FMA-WH,WMFT,MAS and hand function related score of MBI between the two groups before treatment(all P＞0.05).After 4 weeks of treatment,the scores of FMA-UE,FMA-WH,WMFT,MAS and hand function related score of MBI in the experimental group were(27.10±7.76),(5.75±2.97),(40.85±10.19),(0.73±0.57),and(21.15±2.66)respectively,while those in the control group were(21.25±5.29),(4.00±1.49),(31.85±7.60),(0.73±0.64),and(17.40±3.14)respectively.The time main effects(Ftime values were 925.061,138.138,624.635 and 405.986 respectively,all P＜0.01),group main effects(Fgroup values were 4.460,4.562,5.011 and 4.411 respectively,all P＜0.05),and the interaction effects of time and group(Ftime×group values were 44.358,7.356,52.506 and 114.128 respectively,all P＜0.05)of FMA-UE,FMA-WH,WMFT and hand function related score of MBI scores were all significant.The time main effect of MAS scores was significant(Ftime value was 59.478,P＜0.01),while the group main effect(Fgroup value was 0.162,P＞0.05),the interaction effects of time and group(Ftime×group value was 1.652,P＞0.05)were not significant.Conclusion The combined task-oriented training with BCI robots can improve the upper limb and hand functions of stroke patients,enhance their ability to perform daily activities,and the effect is superior to that of single task-oriented training.