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 explore the application value of renin-angiotensin-aldosterone system (RAAS) indexes in the clinical diagnosis of essential hypertension.Methods:Eighty-eight patients with essential hypertension treated in the 962nd Hospital of the PLA Joint Logistics Support Force from April 2023 to May 2024 were enrolled as the observation group, and 80 normotensive healthy subjects undergoing physical examination in the same hospital during the same period were selected as the control group. RAAS-related indexes [angiotensin Ⅱ (ATⅡ), plasma renin activity (PRA), and aldosterone (ALD)] were detected in both groups. The levels of ATⅡ, PRA, ALD, and the ratio of plasma ALD to PRA (ARR) were compared between the two groups and among subgroups with different hypertension severities in the observation group. The diagnostic efficacy of each index for essential hypertension was analyzed by receiver operating characteristic (ROC) curve.Results:The levels of ALD, ATⅡ, and ARR in the observation group were significantly higher than those in the control group, while the PRA level was significantly lower (all P<0.05). Among the three subgroups in the observation group, the levels of ATⅡ, ALD, and ARR showed a significant increasing trend in grade 1, grade 2, and grade 3 hypertension subgroups, while the PRA level showed a significant decreasing trend (all P<0.05). ROC curve analysis showed that the areas under the curve (AUC) of plasma PRA, ATⅡ, ALD, and ARR for the diagnosis of essential hypertension were 0.814, 0.703, 0.687, and 0.879, respectively. The combined detection of the four indexes had an AUC of 0.918, with the highest sensitivity and accuracy. Conclusions:Changes in RAAS indexes are closely related to the occurrence and severity of essential hypertension. PRA and ARR are effective indexes for the diagnosis of essential hypertension. The combined detection of the four indexes can achieve more ideal diagnostic efficacy and improve the diagnostic satisfaction of patients.

Objective:To establish criteria for diagnosing lymph node metastasis (LNM) in newly diagnosed papillary thyroid cancer (PTC) patients based on 18F-FDG PET/MR and evaluate its diagnostic efficiency. Methods:The data of 14 patients with PTC (all females, age (38.8±13.5) years) who underwent 18F-FDG PET/MR and ultrasound sequentially 2 weeks before surgery at the First Affiliated Hospital of the Air Force Medical University from May 2021 to August 2023 were retrospectively analyzed. Visual and semi-quantitative assessments were performed on all patients step by step (Ⅱ-Ⅵ area) and neck by neck (left, right, and central area). The dimensions of all suspected lymph nodes were measured on T 2 weighted imaging (WI)-MRI and SUV max was measured on PET. Taking postoperative pathology as the reference standard, the independent risk factors for predicting LNM were determined by multivariate logistic regression analysis, and the diagnostic efficiency of each model was evaluated by ROC curve analysis. Results:A total of 21 macroscopic regions of lymph nodes(15 were malignant, 6 were benign) and 178 lymph nodes (120 were malignant, 58 were benign) were cleared by surgery. Multivariate logistic regression analysis showed that SUV max (odds ratio ( OR)=1.865, 95% CI: 1.323-2.630, P<0.001) and short diameter on MRI (SD-MRI) ( OR=1.752, 95% CI: 1.189-2.580, P=0.005) were independent predictors of LNM. The cut-off value of SD-MRI in predicting LNM was 5.7mm (AUC=0.812, Youden index (YI)=0.463). For the SD-MRI cut-off values ≥5.7 or <5.7mm, the corresponding SUV max cut-off values were 1.6 and 1.8, respectively. When " dual threshold" quantitative criteria (SD-MRI≥5.7mm + SUV max≥1.6 or SD-MRI<5.7mm + SUV max≥1.8) was used as the diagnostic criteria of 18F-FDG PET/MR, the AUC and YI could be improved to 0.909 and 0.818. Based on the regional level analysis, sensitivity, specificity, and accuracy of LNM diagnosis by ultrasound, MRI, and 18F-FDG PET/MR " dual threshold" criteria were 11/15 vs 12/15 vs 13/15, 5/6 vs 3/6 vs 5/6, 76.2%(16/21) vs 71.4%(15/21) vs 85.7%(18/21), respectively. Conclusion:Compared with the ultrasound and MRI, the 18F-FDG PET/MR " dual threshold" criteria exhibits higher sensitivity and accuracy in determining the scope of LNM clearance for PTC patients.

Objective:To explore the application value of renin-angiotensin-aldosterone system (RAAS) indexes in the clinical diagnosis of essential hypertension.Methods:Eighty-eight patients with essential hypertension treated in the 962nd Hospital of the PLA Joint Logistics Support Force from April 2023 to May 2024 were enrolled as the observation group, and 80 normotensive healthy subjects undergoing physical examination in the same hospital during the same period were selected as the control group. RAAS-related indexes [angiotensin Ⅱ (ATⅡ), plasma renin activity (PRA), and aldosterone (ALD)] were detected in both groups. The levels of ATⅡ, PRA, ALD, and the ratio of plasma ALD to PRA (ARR) were compared between the two groups and among subgroups with different hypertension severities in the observation group. The diagnostic efficacy of each index for essential hypertension was analyzed by receiver operating characteristic (ROC) curve.Results:The levels of ALD, ATⅡ, and ARR in the observation group were significantly higher than those in the control group, while the PRA level was significantly lower (all P<0.05). Among the three subgroups in the observation group, the levels of ATⅡ, ALD, and ARR showed a significant increasing trend in grade 1, grade 2, and grade 3 hypertension subgroups, while the PRA level showed a significant decreasing trend (all P<0.05). ROC curve analysis showed that the areas under the curve (AUC) of plasma PRA, ATⅡ, ALD, and ARR for the diagnosis of essential hypertension were 0.814, 0.703, 0.687, and 0.879, respectively. The combined detection of the four indexes had an AUC of 0.918, with the highest sensitivity and accuracy. Conclusions:Changes in RAAS indexes are closely related to the occurrence and severity of essential hypertension. PRA and ARR are effective indexes for the diagnosis of essential hypertension. The combined detection of the four indexes can achieve more ideal diagnostic efficacy and improve the diagnostic satisfaction of patients.

BACKGROUND:Pathological cardiac hypertrophy is a risk factor for various heart diseases,but its pathogenesis remains unclear.Circular RNAs are strongly associated with cardiac hypertrophy.However,the role of circular RNA CHACR in cardiac hypertrophy and its regulatory mechanisms have not been clarified.OBJECTIVE:To investigate the role of circular RNA CHACR in pressure overload-induced cardiac hypertrophy and the underlying mechanisms.METHODS:(1)Transverse aortic constriction was used to induce cardiac hypertrophy in vivo after in situ injection of cyclic RNA CHACR overexpressing lentivirus into the heart for 1 week.Heart mass/tibia length ratio and lung mass/tibia length ratio were calculated;cardiomyocyte surface area was measured;hypertrophic marker gene expression levels were detected;myocardial fibrosis degree was detected,and cardiac function was assessed.(2)H9c2 cardiomyocytes were treated with circular RNA CHACR overexpressing lentivirus for 72 hours,and then treated with 1 μmol/L angiotensin Ⅱ for 24 hours to induce hypertrophy of cardiomyocytes.The hypertrophy was assessed by measuring the surface area of cardiomyocytes,the expression level of hypertrophic marker genes,and the protein/DNA ratio.Oxidative stress damage was assessed by detecting reactive oxygen species levels and mitochondrial membrane potential.RESULTS AND CONCLUSION:(1)The expression level of circular RNA CHACR was significantly decreased in both in vivo and in vitro myocardial hypertrophy models(P＜0.01).(2)The overexpression of circular RNA CHACR significantly inhibited the cardiac hypertrophy induced by transverse aortic constriction,including reducing the enlarged heart volume,significantly decreasing the increased heart mass/tibia length ratio(P＜0.05),lung mass/tibia length ratio(P＜0.05),and cardiomyocyte surface area(P＜0.05),and decreasing the upregulated expression levels of hypertrophic markers atrial natriuretic peptide(P＜0.05)and brain natriuretic peptide(P＜0.05).(3)Cardiac fibrosis induced by transverse aortic constriction in mice was significantly inhibited by enforcing expression of circular RNA CHACR,as evidenced by reduced fibrotic area(P＜0.01)and decreased expression levels of the fibrosis marker gene Acta1(P＜0.05).(4)Overexpression of circular RNA CHACR significantly improved cardiac function in mice,including significantly increased ejection fraction(P＜0.05)and fractional shortening(P＜0.01).(5)Enforced expression of circular RNA CHACR significantly inhibited angiotensin Ⅱ-induced cardiomyocyte hypertrophy,including a significant reduction in cardiomyocyte surface area(P＜0.05),downregulation of atrial natriuretic peptide(P＜0.05),and brain natriuretic peptide(P＜0.05)expression levels,and a significant decrease in protein/DNA ratio(P＜0.05).(6)Overexpression of circular RNA CHACR significantly inhibited the elevation of reactive oxygen species levels(P＜0.001)and the decrease in mitochondrial membrane potential(P＜0.05)induced by angiotensin Ⅱ.These results confirm that the expression level of circular RNA CHACR is significantly decreased in cardiac hypertrophy at both in vivo and in vitro myocardial hypertrophy models,and overexpression of circular RNA CHACR significantly inhibits cardiac hypertrophy,alleviates cardiac fibrosis,improves cardiac function,and significantly attenuates angiotensin Ⅱ-induced oxidative stress damage.

Objective To explore the gender differences in the relationship between depressive symptoms and cognitive functions in patients with depression.Methods From January 2021 to June 2024,375 patients meeting the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5)criteria for depression were selected by convenience sampling from the Affiliated Psychological Hospital of Anhui Medical University.Depressive symptom severity was assessed using the 24-item Hamilton depression scale(HAMD-24),while cognitive function was evaluated using a series of neuropsychological assessment tools,including the trail making test,logical memory,figure memory,digit symbol substitution test,digit span backward,and Wisconsin card sorting test.Network analysis was performed using R software to examine the relationships between symptoms and cognitive function.Results The core symptom factors and core cognitive domains for male depressive patients are sleep disturbances(strength=1.253)and information processing speed(strength=1.605),respectively;In contrast,female patients exhiboted emotional stagnation(strength=1.322)and working memory(strength=1.289).Sleep disturbances and emotional stagnation were the bridging nodes(bridge strength=1.253 and 1.322)for male and female patients,respectively.The correlation stability(CS)coefficients for the node strength centrality in male and female patient groups were 0.514 and 0.515,respectively,both exceeding threshold of 0.25,indicating good network stability.There were no significant differences between genders in terms of global network strength(male vs.female:2.22 vs.4.87;P=0.356)and edge weight distribution(P=0.293).Conclusion The network relationships between depressive symptoms and cognitive function in depression patients show significant gender differences.Sleep disturbance and information processing speed play central roles in males,whereas emotional retardation and working memory impairment are core features in females.These findings provide a theoretical basis for developing gender-specific intervention strategies.

Objective To explore the correlation between serum circularRNA-HOMER1(circHOMER1),microRNA(miR)-23a-3p levels with clinical stages and oxidative stress in patients with diabetic retinopathy(DR).Methods From January 2023 to July 2024,75 DR patients treated in Handan Central Hospital were included as the DR group.According to the clinical staging of DR,they were divided into non proliferative DR(NPDR group,n=43)and proliferative DR(PDR group,n=32).In addition,75 patients with simple type 2 diabetes who came to Handan Central Hospital were included as non DR group.The levels of serum circHOMER1,miR-23a-3p,malondialdehyde(MDA),superoxide dismutase(SOD),and reduced glutathione(GSH)were detect-ed.Clinical data of the subjects were collected.The TargetScan website was used to predict the targeting relationship between circHOMER1 and miR-23a-3p.Pearson method was used to analyze the correlation between serum circHOMER1,miR-23a-3p and MDA,SOD,GSH.Univariate and multivariate Logistic regression were used to analyze the influencing factors of progression of DR in type 2 diabetes patients.Receiver operating characteristic(ROC)carve was used to analyze the predictive value of serum circHOMER1 and miR-23a-3p in the progression of DR in patients with type 2 diabetes.Results There was a targeted relationship between circHOMER1 and miR-23a-3p.The serum MDA(28.66±4.52ng/ml)and circHOMER1(1.24±0.16)levels in the DR group were higher than those in the non DR group(16.95±3.27ng/ml,1.02±0.11),while SOD(45.39±7.84U/L),GSH(135.82±21.23μg/mL)and miR-23a-3p(0.88±0.07)levels were lower than those in the non DR group(81.65±11.47U/L,207.44±25.95μg/mL,1.01±0.09),and differences were statistically significant(t=9.813～22.602,all P<0.001).The serum MDA(33.28±4.96ng/ml)and circHOMER1(1.36±0.20)levels in the PDR group were higher than those in the NPDR group(25.23±3.58ng/ml,1.15±0.17),while SOD(34.39±7.15U/L),GSH(113.50±20.17μg/ml)and miR-23a-3p(0.79±0.07)levels were lower than those in the NPDR group(53.27±8.44U/L,152.43±23.99μg/ml,0.94±0.08),and the differences were statistically significant(t=4.906～10.376,all P<0.001).Spearman analysis showed that serum MDA and circHOMER1 were positively correlated with the severity of DR(r=0.533,0.473,all P<0.001),while SOD,GSH,miR-23a-3p were negatively correlated with the severity of DR(r=-0.552,-0.515,-0.529,all P<0.001).Pearson analysis showed that serum circHOMER1 was negatively correlated with miR-23a-3p,SOD,GSH,and positively correlated with MDA(r=-0.475,-0.460,-0.455,0.462,all P<0.001).Serum miR-23a-3p was positively correlated with SOD and GSH,and negatively correlated with MDA(r=0.428,0.437,-0.439,all P<0.001).Logistic regression analysis showed that high MDA,low SOD,low GSH,high circHOMER1,low miR-23a-3p,high FPG and high HbA1c were the risk factors of progression of DR in type 2 diabetes patients(OR=0.214～3.556,all P<0.05).The area under curve(AUC)of serum circHOMER1 and miR-23a-3p alone and jointhy predicting the progression of DR in type 2 diabetes patients were 0.751,0.797 and 0.903 respectively.The combined prediction was higher than that of serum circHOMER1 and miR-23a-3p alone(Z=3.179,2.335,P=0.002,0.020).Conclusion Serum MDA and circHOMER1 levels are higher in DR patients,while serum SOD,GSH and miR-23a-3p levels are lower.Abnormal expression of circHOMER1 and miR-23a-3p in serum is associated with progression of DR and oxidative stress.Combined detection of circHOMER1 and miR-23a-3p in serum can predict the progression of DR in patients with type 2 diabetes.

ObjectiveTo explore the effect of respiratory training based on core stabilization training on lumbar disc herniation. MethodsFrom January, 2023 to October, 2024, 96 patients with lumbar disc herniation admitted to the First Affiliated Hospital of Bengbu Medical University were divided into control group (n = 32), core group (n = 32) and respiratory group (n = 32). All the groups underwent conventional rehabilitation therapy, with core stabilization training in the core group and respiratory training combined with core stabilization training in the respiratory group, additionally, for four weeks. Before and after training, the scores of Visual Analogue Scale, Japanese Orthopaedic Association (JOA) and Oswestry Dysfunction Index (ODI) were compared, the average electromyographic value (AEMG) and root mean square (RMS) value of the multifidus and transversus abdominis were detected by surface electromyography (sEMG); and the thickness of the multifidus and transversus abdominis were measured by musculoskeletal ultrasonography bilaterally. ResultsThe intra-group effect (F > 597.796, P < 0.001), inter-group effect (F > 16.535, P < 0.001) and interaction effect (F > 49.622, P < 0.001) were significant in the scores of VAS, JOA and ODI; which were better in the respiratory group than in the control group and the core group (P < 0.05), and were better in the core group than in the control group (P < 0.001). The intra-group effect (F > 7971.631, P < 0.001), inter-group effect (F > 177.760, P < 0.001) and interaction effect (F > 478.771, P < 0.001) were significant in the thickness of the transversus abdominis and multifidus; which were better in the respiratory group than in the control group and the core group (P < 0.001), and were better in the core group than in the control group (P < 0.001). The intra-group effect (F > 144303.007, P < 0.001), inter-group effect (F > 1495.458, P < 0.001) and interaction effect (F > 3121.361, P < 0.001) were significant in the RMS of the multifidus and transversus abdominis; which were better in the respiratory group than in the control group and the core group (P < 0.001), and were better in the core group than in the control group (P < 0.001). The intra-group effect (F > 1890.532, P < 0.001), inter-group effect (F > 607.132, P < 0.001) and interaction effect (F > 824.923, P < 0.001) were significant in the AEMG of the multifidus and transversus abdominis; which were better in the respiratory group than in the control group and core group (P < 0.001), and were better in the core group than in the control group (P < 0.001). ConclusionCore training combined with respiratory training can more effectively reduce pain and improve dysfunction by enhancing the strength and control of the core muscles， thus improving the quality of life of patients with lumbar disc herniation.

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.

Objective To analyze the basic conditions and pathological characteristics of the samples in the Human Brain Bank of Hebei Medical University,which were pathologically diagnosed as cerebral amyloid angiopathy,and to provide reference for the research of related diseases.Methods The basic data of gender,age,apolipoprotein E genotype,pathological classification of cerebral amyloid angiopathy,Alzheimer's disease-related pathological change score,comorbidities and other pathological information were analyzed.Results Up to October 2024,twenty samples were confirmed by pathological diagnosis,with a male to female ratio of 3:1 and an average age of(80.90±8.08)years.Involve three kinds of apolipoprotein E subtype,5 kinds of genotypes(ε2/ε3 xε2/ε4、ε3/ε3 xε3/ε4、ε4/ε4);There were 2 pathologic types,including 6 cases of type 1 and 14 cases of type 2.The pathological grade included 3 grades.The severity grade and subtype classification of cerebral amyloid vascular disease were correlated with the degree of pathological changes of Alzheimer's disease.Cerebral amyloid angiopathy samples could coexist with other degenerative diseases with high comorbidity.Conclusion The incidence of cerebral amyloid angiopathy is higher in the aged samples collected based on Brain Bank,which coexists with conditions such as Alzheimer's disease and microbleeds,etc.It provides more detailed pathological diagnosis basis for further scientific research sharing of samples.