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 retrospectively analyze the drug resistance characteristics of the patients with multidrug-resistant organisms(MDROs)infections who were hospitalized from 2022 to 2023 and observe the effect of multi-disciplinary teamwork(MDT)mode so as to provide scientific bases for prevention and control of MDROs infec-tions and hospital-associated infections.METHODS A total of 639 patients with MDROs infection who were hospi-talized in Jianyang People's Hospital from Jan.2022 to Dec.2023 were recruited as the research subjects.The clinical data were collected from the patients,the drug resistance characteristics of bacteria were analyzed.The effects of MDT and pharmacological supervision on treatment of the patients with MDROs infection were observed and compared.RESULTS The methicillin-resistant Staphylococcus aureus(MRSA)(359 strains,56.18％)was dominant among the pathogens isolated from the 639 patients with MDROs infections,followed by the carbapen-em-resistant Klebsiella pneumoniae(CRKP)(96 strains,15.02％)and carbapenem-resistant Acinetobacter bau-mannii(82 strains,12.83％).Of the patients with MDROs infection,150(23.47％)were from critical care medicine department,94(14.71％)from pediatrics department,and 82(12.83％)from general surgery de-partment.The result of drug susceptibility test showed that the S.aureus strains were susceptible to linezolid,daptomycin,vancomycin and tigecycline;most of the gram-negative bacteria were susceptible to carbapenems,while the A.baumannii strains were highly resistant to the commonly used antibiotics.The total isolation rate of MDROs and the case-time infection rate of MDROs infections were 14.32％and 0.05％,respectively,after MDT and pharmacological supervision were carried out,lower than those before carried out;the effective treatment rate of the patients with MDROs was 76.47％after MDT and pharmacological supervision were carried out,higher than that before they were carried out,and there were significant differences(all P＜0.05).CONCLUSION MDT and pharmacological supervision may improve the curative effect of the patients with MDROs infection and reduce the isolation rate of MDROs as well as the incidence of hospital-associated infections.

This study was aimed at establishing a method of ultra-fast quantitative PCR for Brucella detection.We used an exogenous recombinant plasmid as the internal reference and targeted the T4SS secretion system,an important Brucella viru-lence factor,to design specific primers and probes.The sensitivity,specificity,and repeatability of this method were evaluated,and a standard curve was constructed.The coincidence rate of detection findings with this method versus quantitative PCR was determined.This method markedly decreased the detection time to only 10 minutes.The standard curve demonstrated a good linear relationship(Y=-3.410 7x+38.357,R2=0.998 5)with a low minimum detection limit of 10 copies/μL.The method exhibited good specificity and did not specifically amplify several common clinical bacteria other than Brucella.The de-tection of three concentrations of positive plasmids yielded coefficients of variation(CVs)of 0.20％to 0.91％,thus demonstra-ting the method's excellent repeatability.Furthermore,140 clinical samples were analyzed concurrently with the fluorescence PCR method,which yielded a 100％compliance rate and consistent results.Our findings indicated that the Brucella ultra-fast quantitative PCR was ultrafast;had high sensitivity,high specificity,and good specificity;and can be used for the clinical de-tection of Brucella and emergency investigation of epidemics.Therefore,this method is valuable for the early diagnosis of Bru-cella.

Objective:To explore the application effect of integrated traditional Chinese and Western medicine nursing based on"whole course case management mode"in patients with coronary heart disease(CHD)after percutaneous coronary inter-vention(PCI).Methods:This randomized controlled study enrolled 98 CHD patients who underwent PCI for the first time at Jiangsu Province Hospital of Chinese Medicine between February 2022 and May 2023.The patients were divided into in-tervention group(n=49)and control group(n=49).The patients in intervention group received whole course case man-agement model-based integrated traditional Chinese and Western medicine nursing plan,while those in the control group received routine nursing care after PCI.Scores of Morisky Medication Adherence Scale(MMAS-8),Cardiovascular Health Score(CHS),China questionnaire of quality of life in patients with cardiovascular diseases(CQQC)and incidence of adverse cardiac events were compared between two groups after 6 and 12 months.Results:Compared with patients in control group after intervention,those in intervention group had significant higher scores of MMAS-8[6 months:(6.63±0.83)points vs.(5.96±0.95)points,12 months:(6.85±0.96)points vs.(5.84±0.91)points],CHS[(8.10±1.37)points vs.(7.45±1.28)points],CQQC[(92.73±7.44)points vs.(88.16±2.88)points],and significant lower incidence of adverse cardiac events(14.29％vs.36.73％)(P＜0.05 or＜0.01).Conclusion:The integrated traditional Chinese and Western medicine nursing intervention plan based on the whole course case management model could effectively improve medication compliance,strengthen cardiovascular health behavior,reduce the incidence of adverse cardiac events,and improve quality of life in CHD patients after PCI.

Objective:To establish three machine learning prediction models based on CT imaging characteristics of papillary thyroid carcinoma (PTC) , and use SHAP (shapley additive explanations) analysis to investigate the contribution of each CT image features in the best model.Methods:CT imaging features in 426 cases of 440 PTCs confirmed pathologically from Jan. 2016 to Jan. 2021 at the affiliated Hangzhou First People’s Hospital of Westlake University Medical School were retrospectively analyzed. compared with 467 cases of 528 nodular goiter (NG) , evaluating the distribution of four CT characteristics: cookie bite sign, enhanced range of narrowing/blur (ERNB) , microcalcifications, and irregular shape. We split the data into 8∶2 ratio for training and testing sets, then constructed three machine learning models using XGBoost, RF, and SVM. Based on AUC, accuracy, F1 score, and other metrics, we selected the best model. Lastly, we used SHAP values to assess each CT feature’s contribution and positive/negative effects on the model.Results:Among 440 PTC and 528 NG nodules, CT features like cookie bite sign, ERNB, microcalcifications, and irregular shape occurred in 326 and 30 ( χ 2=483.05, P<0.001) , 363 and 106 ( χ 2=374.45, P<0.001) , 158 and 53 ( χ 2=94.24, P<0.001) , and 354 and 52 ( χ 2=491.34, P<0.001) nodules, respectively. The machine learning models built using XGBoost, RF, and SVM had AUC, accuracy, and F1 scores ranging from 0.884~0.925, 0.867~0.873, and 0.844~0.854 respectively on the training set. On the test set, the scores ranged from 0.869~0.923, 0.845~0.871, and 0.803~0.845. Among them, the XGBoost model demonstrated the highest diagnostic performance on the test set. Among the four CT features, irregular shape had the highest absolute SHAP value, positively contributing to PTC diagnosis. Conclusion:XGBoost model showed the highest PTC diagnostic performance. Irregular shape had the greatest positive impact on PTC diagnosis.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To explore the application effect of integrated traditional Chinese and Western medicine nursing based on"whole course case management mode"in patients with coronary heart disease(CHD)after percutaneous coronary inter-vention(PCI).Methods:This randomized controlled study enrolled 98 CHD patients who underwent PCI for the first time at Jiangsu Province Hospital of Chinese Medicine between February 2022 and May 2023.The patients were divided into in-tervention group(n=49)and control group(n=49).The patients in intervention group received whole course case man-agement model-based integrated traditional Chinese and Western medicine nursing plan,while those in the control group received routine nursing care after PCI.Scores of Morisky Medication Adherence Scale(MMAS-8),Cardiovascular Health Score(CHS),China questionnaire of quality of life in patients with cardiovascular diseases(CQQC)and incidence of adverse cardiac events were compared between two groups after 6 and 12 months.Results:Compared with patients in control group after intervention,those in intervention group had significant higher scores of MMAS-8[6 months:(6.63±0.83)points vs.(5.96±0.95)points,12 months:(6.85±0.96)points vs.(5.84±0.91)points],CHS[(8.10±1.37)points vs.(7.45±1.28)points],CQQC[(92.73±7.44)points vs.(88.16±2.88)points],and significant lower incidence of adverse cardiac events(14.29％vs.36.73％)(P＜0.05 or＜0.01).Conclusion:The integrated traditional Chinese and Western medicine nursing intervention plan based on the whole course case management model could effectively improve medication compliance,strengthen cardiovascular health behavior,reduce the incidence of adverse cardiac events,and improve quality of life in CHD patients after PCI.

Objective To investigate the effect of ring finger protein 130(RNF130)on myocardial ischemia-reperfusion injury(MI/RI)and its potential mechanism.Methods Male C57BL/6J mice were divided into four groups(n=6):Sham,MI/RI,MI/RI+Vector,and MI/RI+RNF130 overexpression(MI/RI+RNF130OE).Cardiac function was evaluated by echocardiography 24 hours after ischemia-reperfusion.Pathological changes,oxidative damage,and apoptosis in myocardial tissues were observed via IHC,DHE,and TUNEL staining.Protein expression was detected using Western blot,immunofluorescence,and immunohistochemistry.Proteomic analysis was performed to identify downstream proteins regulated by RNF130,and protein-protein interactions were validated by immunoprecipitation(IP)assay.Results Compared with the MI/RI+Vector group,RNF130 overexpression significantly improved cardiac function,as indicated by increased left ventricular ejection fraction(EF)and fractional shortening(FS),reduced myocardial infarction area,and decreased expression of NOX-2 and BAX proteins(P＜0.05).DHE and TUNEL staining showed that RNF130 overexpression alleviated myocardial oxidative damage and apoptosis(P＜0.05).Proteomic analysis and IP assays revealed a significant interaction between RNF130 and PARP1,with PARP1 expression inversely correlated with RNF130.Conclusions RNF130 may mitigate MI/RI injury by regulating the PARP1 ubiquitination pathway,providing a new target for therapeutic intervention.

Objective:To establish three machine learning prediction models based on CT imaging characteristics of papillary thyroid carcinoma (PTC) , and use SHAP (shapley additive explanations) analysis to investigate the contribution of each CT image features in the best model.Methods:CT imaging features in 426 cases of 440 PTCs confirmed pathologically from Jan. 2016 to Jan. 2021 at the affiliated Hangzhou First People’s Hospital of Westlake University Medical School were retrospectively analyzed. compared with 467 cases of 528 nodular goiter (NG) , evaluating the distribution of four CT characteristics: cookie bite sign, enhanced range of narrowing/blur (ERNB) , microcalcifications, and irregular shape. We split the data into 8∶2 ratio for training and testing sets, then constructed three machine learning models using XGBoost, RF, and SVM. Based on AUC, accuracy, F1 score, and other metrics, we selected the best model. Lastly, we used SHAP values to assess each CT feature’s contribution and positive/negative effects on the model.Results:Among 440 PTC and 528 NG nodules, CT features like cookie bite sign, ERNB, microcalcifications, and irregular shape occurred in 326 and 30 ( χ 2=483.05, P<0.001) , 363 and 106 ( χ 2=374.45, P<0.001) , 158 and 53 ( χ 2=94.24, P<0.001) , and 354 and 52 ( χ 2=491.34, P<0.001) nodules, respectively. The machine learning models built using XGBoost, RF, and SVM had AUC, accuracy, and F1 scores ranging from 0.884~0.925, 0.867~0.873, and 0.844~0.854 respectively on the training set. On the test set, the scores ranged from 0.869~0.923, 0.845~0.871, and 0.803~0.845. Among them, the XGBoost model demonstrated the highest diagnostic performance on the test set. Among the four CT features, irregular shape had the highest absolute SHAP value, positively contributing to PTC diagnosis. Conclusion:XGBoost model showed the highest PTC diagnostic performance. Irregular shape had the greatest positive impact on PTC diagnosis.

Objective To explore the association between the growth condition of mandibular third molars(M3)and the parameters of mandibular dental arch through a retrospective cross-sectional study on M3 in adults,and to provide a basis for the selection of clini-cal treatment of M3.Methods A total of 221 adult patients were randomly selected for our study.Dolphin software was used to analyze the CBCT of all the patients.Parameters of the mandibular dentition including the entire dental crowding(EDC)were recorded.Then the association between M3 growth condition and these parameters was analyzed.Results The mesio-impacted angle of M3 was posi-tively correlated with EDC(P＜0.05),and negatively correlated with the retromolar space(RMS,P＜0.0 1).It was worth noting that me-dian mesio-impacted M3 significantly increased EDC(P＜0.01),and the erupting M3 in the vertical orthotopic position significantly in-creased RMS(P＜0.01).Conclusion For patients with median mesio-impacted M3 or insufficient RMS,preventive removal of M3 may be considered clinically,which may help to reduce crowding and prevent relapse after orthodontic treatment.