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.

Breast cancer is a malignant tumor that occurs in the glandular epithelium of the breast, and it is one of the most common tumors that seriously affect the physical and mental health of women. With the aggravation of population aging, the incidence of breast cancer in the elderly has increased year by year in recent years. Elderly patients with breast cancer often have a variety of underlying diseases, and their prognosis is usually related to many factors such as cancer staging, cancer classification, treatment status and health status, with a significant difference in survival rate among patients. Due to the unique clinical and pathological characteristics of elderly patients with breast cancer compared to young and middle-aged patients, there are many studies on the treatment of elderly breast cancer patients in the past, and there are few reviews on the influencing factors of prognosis in elderly patients. This paper reviews the research progress of influencing factors of prognosis in elderly patients with breast cancer from the aspects of clinicopathological factors, treatment options and prognosis factors, in order to provide a reference for clinical determination of treatment options for elderly patients with breast cancer in the future.

Objective To explore the influence of the medical and health management model based on artificial intelligence (AI) on type 2 diabetes mellitus (T2DM) combined with masked hypertension (MH). Methods A total of 342 patients with T2DM admitted to the hospital from May 2021 to August 2024 were selected as research subjects, and the incidence rate of MH was counted. All patients were classified into the reference group (routine management) and the study group (AI+medical health management) according to the random number table method, with 171 cases in each group. The self-management, glycolipid metabolism and ambulatory blood pressure were compared between both groups before and after intervention. Results Among the 342 patients with T2DM, MH occurred in 34 cases, with an incidence rate of 9.94% (34/342). The self-management ability in the two groups was improved after 6 months and 12 months of intervention, and the self-management ability was higher in the study group (P<0.05). After 6 months and 12 months of intervention, the glucolipid metabolism indexes in both groups were optimized, and the improvements in the study group were greater (P<0.05). The daytime average systolic blood pressure and diastolic blood pressure, 24 h average systolic blood pressure and diastolic blood pressure were decreased in both groups after 6 months and 12 months of intervention, and the study group showed lower indexes (P<0.05). Conclusion T2DM are prone to MH. AI medical and health chronic disease management can enhance patients' self-management ability, help improve glucose and lipid metabolism, lower blood pressure, and help reduce the risk of MH.

OBJECTIVE To explore the antidepressant mechanism of Wenyang jieyu granules （WYJYG） via the NOD-like receptor thermal protein domain associated protein 3 （NLRP3）/apoptosis-associated speck-like protein containing a CARD （ASC）/Caspase-1 pathway. METHODS A rat model of depression was established by chronic unpredictable mild stress combined with single-housing for 42 consecutive days.The experiment set up blank group， model group， MCC950 （NLRP3 inflammasome inhibitor） group （10 mg/kg）， fluoxetine group （positive control，2.08 mg/kg），low-dose WYJYG（3.78 g/kg） and high-dose WYJYG group （7.56 g/kg），with 10 rats in each group. From the 22nd day of the experiment， rats in the fluoxetine group， low-dose and high-dose WYJYG groups were intragastrically administered with the corresponding drugs and intraperitoneally injected with an equal volume of normal saline. Rats in the MCC950 group were intraperitoneally injected with MCC950 at the corresponding concentration and intragastrically administered with an equal volume of distilled water. Rats in the blank group and model group were given an equal volume of distilled water by gavage and an equal volume of normal saline by intraperitoneal injection. All interventions were performed once a day for 21 consecutive days. Behavioral tests were conducted once a week. After the last administration， the contents of ASC， ionized calcium binding adaptor molecule 1 （Iba1）， interleukin-1β （IL-1β）， and IL-18 in hippocampal tissues were detected. The protein expressions of NLRP3， cluster of differentiation 68 （CD68）， Caspase-1， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein were determined， and neuronal apoptosis was observed. RESULTS After the last administration， compared with the model group， the open-field activity time was significantly prolonged （ P ＜0.05）， and the latency to feed in a novel environment was significantly shortened （ P ＜0.05） in rats of the high-dose WYJYG group. In hippocampal tissue， the contents of ASC， Iba1， IL-1β， and IL-18， as well as the protein expression levels of NLRP3， Caspase-1， and CD68， and the positive rate of neuronal apoptosis were all significantly decreased/downregulated （ P ＜0.05）. Bcl-2 protein expression was significantly upregulated （ P ＜0.05）， and the density of neuronal apoptosis-positive cells was significantly reduced （ P ＜0.05）. CONCLUSIONS WYJYG play on antidepressant role by inhibiting the NLRP3/ASC/Caspase-1 pathway， reducing microglia-mediated neuroinflammation， and inhibiting hippocampal neurons apoptosis.

ObjectiveTo analyze the clinical data of 126 patients with hepatic myelopathy （HM）， to summarize their clinical manifestations and prognostic features， and to provide a reference for clinical diagnosis and treatment. MethodsRelated clinical data were collected from 126 HM patients who attended The First Hospital of Lanzhou University from January 1， 2016 to June 30， 2025， and according to their muscle strength on admission， they were divided into grade<3 group， grade 3 group， and grade 4 group. The three groups were compared in terms of the clinical data including etiology， symptoms， clinical signs， past history， personal history， laboratory test results， imaging findings， treatment， and outcome. An analysis of variance was used for comparison of normally distributed continuous data between multiple groups， and the least significant difference t-test was used for further comparison between two groups； the Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between multiple groups， and the Bonferroni correction method was used for further comparison between two groups； the chi-square test was used for comparison of categorical data between multiple groups. ResultsAll 126 patients with HM were comorbid with liver cirrhosis， with a male/female ratio of 2.7∶1， an age of 23 — 73 years， a mean age of 53.9±9.3 years， and a median age of 54 years. The top three etiologies of liver cirrhosis were hepatitis B in 78 patients （61.9%）， hepatitis C in 9 patients （7.1%）， and alcoholic hepatitis in 8 patients （6.3%）. During the course of the disease， all 126 patients with HM showed weakness in both lower limbs， among whom 9 patients （7.1%） also had the symptoms of lower limb pain and numbness. Among the 126 patients， 3 （2.4%） had grade 0 muscle strength， 4 （3.2%） had grade 1 muscle strength， 9 （7.1%） had grade 2 muscle strength， 39 （31.0%） had grade 3 muscle strength， and 71 （56.3%） had grade 4 muscle strength. Comparison of related data between the three groups of patients with varying grades of muscle strength showed that as for comorbidities， there were significant differences between the three groups in the constituent ratios of overt hepatic encephalopathy （OHE） （χ²=6.254， P=0.044）， ascites （χ²=6.248， P=0.044）， and liver failure （χ²=7.704， P=0.029）； as for laboratory markers， there were significant differences between the three groups in red blood cell count （RBC） （F=5.334， P=0.006）， hemoglobin （HGB） （F=4.627， P=0.012）， aspartate aminotransferase （AST） （H=6.866， P=0.032）， alanine aminotransferase （H=6.444， P=0.040）， albumin （Alb） （F=6.331， P=0.002）， cholinesterase （ChE） （H=11.064， P=0.004）， total cholesterol （TC） （F=4.843， P=0.009）， prothrombin activity （PTA） （F=3.937， P=0.022） and international normalized ratio （INR） （H=6.448， P=0.040）. Compared with the grade 4 group， the grade<3 group had significantly lower levels of RBC， HGB， and ChE （all P<0.05） and a significantly higher level of AST （P<0.05）； compared with the grade 3 group， the grade<3 group had significant reductions in Alb， TC， and PTA （all P<0.05） and a significant increase in INR （P<0.05）. At discharge， 27 patients （21.4%） achieved improvement， and 99 patients （78.6%） showed no response， among whom 2 patients died. ConclusionHM has the main clinical manifestation of symmetrical spastic paraplegia of both lower limbs， and it is more common in men. The main causes of HM include hepatitis B， hepatitis C， and alcoholic hepatitis. Muscle strength in HM patients is associated with the comorbidity of OHE， ascites， or liver failure， and patients with weak muscle strength tend to have low levels of RBC， HGB， Alb， ChE， TC， and PTA and high levels of AST and INR， suggesting that the changes in these indicators may be correlated with the degree of muscle strength impairment. HM often has a poor prognosis， and there are currently no effective treatment methods.

Intervention in chronically activated microglia-mediated neuroinflammation is a novel approach to treat Alzheimer's disease (AD). The low permeability of the blood‒brain barrier (BBB) and non-selective distribution in the brain severely restrict AD drugs' disease-modifying efficacy. Here, an immunosuppressant TREM2-lowing antisense oligonucleotides (ASOs) and resveratrol co-loaded cationic liposome is developed as an immune reprogramming nanomodulator modified by acid-cleavable BBB-targeting peptide and microglia-targeting peptide (Res@TcMNP/ASO) for AD management. Res@TcMNP/ASO can enter brain endothelial cells via D-T7 peptides. Then D-T7 undergoes an acid-responsive cleavage, facilitating the escape of Res@MNP/ASO from endo/lysosomes to cross the BBB. The detached Res@MNP/ASO specifically targets M1-phenotype microglia via exposed MG1 peptides to prompt the simultaneous delivery of two drugs into activated microglia. This nanomodulator can not only restore the immune function of microglia through TREM2-lowing ASO but also mitigate the immune stimulation to microglia caused by reactive oxygen species (ROS) through resveratrol, thereby synergistically inhibiting the chronic activation of microglia to alleviate neuroinflammation in AD. Our results indicate that this combination treatment can achieve significant behavioral and cognitive improvements in late APP/PS1 mice.

Objective To observe the value of ultrasound convolutional neural network(CNN)model for assisting distinguishment of cervical lymph node lymphoma and atypical reactive hyperplasia.Methods Totally 335 cases of cervical lymph node lymphoma and 335 cases of atypical reactive hyperplasia were retrospectively enrolled,including 520 cases in development group(260 cases of lymphoma and 260 cases of atypical reactive hyperplasia)and 150 cases in validation group(75 cases of lymphoma and 75 cases of atypical reactive hyperplasia).Patients in development group were divided into training set(182 cases of lymphoma and 182 cases of atypical reactive hyperplasia)and test set(78 cases of lymphoma and 78 cases of atypical reactive hyperplasia)at the ratio of 7∶3.One target lymph node was selected for each case,and one gray-scale ultrasound image and one CDFI were included for training,testing CNN models and verifying the auxiliary efficacy of the models.Based on ultrasound images in training set,5 CNN models,including AlexNet,VGG16,ResNet18,DenseNet161 and EfficientNet-B0,were constructed and trained for distinguishing cervical lymph node lymphoma and atypical reactive hyperplasia,and the models were tested in test set to screen out the best one with the highest classification accuracy.The efficacy of the best CNN model for assisting distinguishment of cervical lymph node lymphoma and atypical reactive hyperplasia was observed.Results Among 5 CNN models,the accuracy of ResNet18 model in test set was the highest(78.21％),and ResNet18 model was regarded as the best CNN model,its sensitivity,specificity and accuracy for assisting distinguishment of cervical lymph node lymphoma and atypical reactive hyperplasia were all higher than those of independent diagnosis made by ultrasound physicians(all P＜0.01).Conclusion The constructed ResNet18 model could be used to effectively assist differentiating cervical lymph node lymphoma and atypical reactive hyperplasia.

Objective To explore the occurrence risk of enteral nutrition intolerance and analyze its influencing factors in 302 elderly critically ill patients. Methods The clinical case data of elderly critically ill patients in department of elderly cadres of the hospital were retrospectively analyzed from January 2019 to January 2024. According to the occurrence of enteral nutrition intolerance or not, they were divided into occurrence group (n=156) and non-occurrence group (n=146). The risk of nutritional intolerance in elderly critically ill patients was evaluated by feeding intolerance risk assessment form, and the influencing factors of enteral nutrition intolerance were analyzed by multivariate logistic regression analysis. Results Among the 302 elderly patients with critical illness, 53.31% (161/302) had high risk of enteral nutrition intolerance, and 51.66% (156/302) had enteral nutrition intolerance. Multivariate logistic analysis revealed that CRP level>10mg/L, APACHE-II score≥20 points, Lac≥3mmol/L and hypoalbuminemia were risk factors in elderly critically ill patients (OR=1.806, 2.977, 8.232, 3.031, P=0.011, 0.001, 0.041, 0.047), and addition of dietary fiber was a protective factor for enteral nutrition intolerance (OR=1.652, P=0.037). Conclusion The risk of enteral nutrition intolerance is high in elderly critically ill patients. Lac level, CRP level, hypoalbuminemia, and APACHE-II score of patients are independent risk factors for enteral nutrition intolerance, and addition of dietary fiber is a protective factor. It is necessary to take targeted interventions for patients according to the above factors to minimize the occurrence of enteral nutrition intolerance.

ObjectiveTo investigate the efficacy and mechanism of Polygoni Cuspidati Rhizoma et Radix （Huzhang） in treating respiratory syncytial virus（RSV） infection by regulating pulmonary surfactant lipid homeostasis through lipidomics. MethodsSixty BALB/c mice were randomly divided into the blank group， model group， positive group（ribavirin group， 46 mg·kg^-1）， and low- and high-dose Huzhang groups（0.75， 2.25 g·kg^-1）， with 12 mice in each group. Except for the blank group， all other groups were infected with RSV via intranasal instillation. The drug intervention groups were given corresponding doses of drug by gavage for 3 consecutive days， while normal saline was used in the blank and model groups. Hematoxylin-eosin（HE） staining was used to observe pathological changes in mouse lung tissue. Real-time fluorescence quantitative polymerase chain reaction（Real-time PCR） was employed to detect viral loads［RSV-nucleoprotein（N） and RSV-glycoprotein（G） mRNA］ and inflammatory factor levels［interleukin（IL）-1β and tumor necrosis factor（TNF）-α mRNA］ in the lung tissue. Mouse bronchoalveolar lavage fluid was collected to detect the levels of pulmonary surfactant lipids through ultra-high performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive Orbitrap-MS）， followed by principal component analysis and differential lipid identification. ResultsCompared with the blank group， the model group exhibited extensive inflammatory cell infiltration， congestion， and tissue damage in the lungs， and the pathological score and lung index of lung tissue significantly increased（P<0.01）， along with significantly elevated mRNA expressions of RSV-N， RSV-G， IL-1β， and TNF-α（P<0.01）. Compared with the model group， different doses of Huzhang and ribavirin significantly reduced the pathological scores of the lung tissue and lung index（P<0.01）. In addition， the mRNA levels of RSV-N， RSV-G and TNF-α in the lungs significantly decreased in the Huzhang high dose group（P<0.01）. Lipidomics analysis identified multiple significantly changed differential metabolites. Compared with the blank group， the model group showed obvious abnormal lipid metabolism， which was manifested by the elevated levels of prostaglandin（PG）， ceramide（Cer）， phosphatidylcholine（PC）， phosphatidylethanolamine（PE）， phosphatidylinositol（PI）， sphingomyelin（SM）， and the decreased levels of diglycerides（DG） and acylethanolamine（NAE）. After the intervention of low dose of Huzhang， the above lipid metabolites showed a significant reversal trend， while the intervention of high dose of Huzhang could regulate levels of PI lipids， PG lipids and PC lipids. ConclusionHuzhang can significantly reduce the viral load of lung tissue and improve lung inflammation in RSV-infected mice. The underlying mechanism may be related to the maintenance of homeostasis in pulmonary surfactant lipids such as PI and PG.

ObjectiveTo investigate the efficacy and mechanism of Polygoni Cuspidati Rhizoma et Radix （Huzhang） in treating respiratory syncytial virus（RSV） infection by regulating pulmonary surfactant lipid homeostasis through lipidomics. MethodsSixty BALB/c mice were randomly divided into the blank group， model group， positive group（ribavirin group， 46 mg·kg^-1）， and low- and high-dose Huzhang groups（0.75， 2.25 g·kg^-1）， with 12 mice in each group. Except for the blank group， all other groups were infected with RSV via intranasal instillation. The drug intervention groups were given corresponding doses of drug by gavage for 3 consecutive days， while normal saline was used in the blank and model groups. Hematoxylin-eosin（HE） staining was used to observe pathological changes in mouse lung tissue. Real-time fluorescence quantitative polymerase chain reaction（Real-time PCR） was employed to detect viral loads［RSV-nucleoprotein（N） and RSV-glycoprotein（G） mRNA］ and inflammatory factor levels［interleukin（IL）-1β and tumor necrosis factor（TNF）-α mRNA］ in the lung tissue. Mouse bronchoalveolar lavage fluid was collected to detect the levels of pulmonary surfactant lipids through ultra-high performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive Orbitrap-MS）， followed by principal component analysis and differential lipid identification. ResultsCompared with the blank group， the model group exhibited extensive inflammatory cell infiltration， congestion， and tissue damage in the lungs， and the pathological score and lung index of lung tissue significantly increased（P<0.01）， along with significantly elevated mRNA expressions of RSV-N， RSV-G， IL-1β， and TNF-α（P<0.01）. Compared with the model group， different doses of Huzhang and ribavirin significantly reduced the pathological scores of the lung tissue and lung index（P<0.01）. In addition， the mRNA levels of RSV-N， RSV-G and TNF-α in the lungs significantly decreased in the Huzhang high dose group（P<0.01）. Lipidomics analysis identified multiple significantly changed differential metabolites. Compared with the blank group， the model group showed obvious abnormal lipid metabolism， which was manifested by the elevated levels of prostaglandin（PG）， ceramide（Cer）， phosphatidylcholine（PC）， phosphatidylethanolamine（PE）， phosphatidylinositol（PI）， sphingomyelin（SM）， and the decreased levels of diglycerides（DG） and acylethanolamine（NAE）. After the intervention of low dose of Huzhang， the above lipid metabolites showed a significant reversal trend， while the intervention of high dose of Huzhang could regulate levels of PI lipids， PG lipids and PC lipids. ConclusionHuzhang can significantly reduce the viral load of lung tissue and improve lung inflammation in RSV-infected mice. The underlying mechanism may be related to the maintenance of homeostasis in pulmonary surfactant lipids such as PI and PG.