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 understand the status and related factors of knowledge, attitude and practice (KAP) on vision health among young children s parents in Bao an District, Shenzhen, so as to provide reference for further controlling myopia and promoting children s visual health. Methods: From May 16th to 26th, 2024, a stratified cluster random sampling method was used to conduct an online questionnaire survey on 7 666 parents of kindergarten children across 41 kindergartens in a street of Bao an District, Shenzhen. The t-test, variance analysis and multiple linear regression analysis were used to analyze the related factors of KAP on vision health among children s parents. Results: The pass rates of parental vision KAP and overall assessment were 25.10%, 98.49 %, 71.18% and 58.26%, respectively. The results of the multiple linear regression analysis showed that only fathers with myopia, only mothers with myopia, both parents with myopia, children in the bottom classes, middle classes, senior classes, and pre school had higher standardized scores for KAP on vision health among parents ( β=0.08, 0.11, 0.16, 0.17, 0.16, 0.16, 0.05, P <0.05), compared to both parents without myopia and children in daycare classes. Parents of young children with myopia, and who didn t know their children s visual acuity and their own visual acuity had a lower KAP standardized scores ( β=-0.02, -0.04, -0.05 , P< 0.05). Conclusions Young children s parents in Bao an District hold a positive attitude towards vision health, but are lack of knowledge and practice. It is imperative to transmit accurate information and concepts about children s vision health to parents in a targeted manner. In particular, knowledge and guidance should be strengthened for children s parents.

ObjectiveTo explore the mechanisms associated with Mahoniae Caulis alkaloids （MA） in ameliorating depression by network pharmacology， molecular docking， and animal experiments. MethodsThe component targets of MA were obtained through Swiss Target Prediction and TCMIP database. The depression targets were collected through TCMIP， Genecards， HPO， DrugBank and OMIM database. The depression targets were collected through TCMIP， Genecards， HPO， DrugBank and OMIM database. Protein-protein interaction （PPI） network was constructed by protein interaction analysis （STRING） database. Gene ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） analyses were performed through Bioinformatics （DAVID） database. The docking of components and targets was performed by AGFR. The mouse model of depression was established by intraperitoneal injection of corticosterone （CORT） once a day for 35 consecutive days. Sixty mice were randomly allocated into control （0.9% normal saline）， model （CORT， 20 mg·kg^-1）， positive control （fluoxetine hydrochloride， 3.6 mg·kg^-1）， and MA （10， 5， and 2.5 mg·kg^-1） groups. Each group was administrated with corresponding medicine or normal saline once a day for 28 consecutive days. The depression-like behavior of mice was observed. The pathological changes of prefrontal cortex in mice were observed by hematoxylin-eosin staining. Terminal deoxynucleotidyl dUTP transferase nick end labeling （TUNEL） was employed to observe the apoptosis of neurons in the prefrontal cortex. Enzyme-linked immunosorbent assay was employed to assess the serum levels of brain-derived neurotrophic factor （BDNF）， dopamine （DA）， 5-hydroxytryptamine （5-HT）， and norepinephrine （NE） in mice. The mRNA levels of cyclic adenosine monophosphate （cAMP） pathway-related factors and inflammatory factors were determined by Real-time PCR. Western blot was employed to determine the expression of cAMP pathway-related factors and connexin 43 （Cx43）. ResultsA total of 434 component targets and 545 depression targets were obtained， including 84 common targets， among which 10 core targets were screened out. GO analysis predicted 34 biological processes， 15 cell components， and 11 molecular functions. The KEGG pathways were mainly related to gap junction and cAMP signaling pathway. The core components had good binding affinity with the core targets. The results of animal experiments showed that compared with the control group， CORT prolonged the immobility time of mice in forced swimming and tail suspension tests （P<0.01）， lowered the serum levels of NE， BDNF， and 5-HT （P<0.05）， up-regulated the mRNA levels of nuclear factor-κB （NF-κB） and interleukin-6 （IL-6） in the brain tissue （P<0.05）， and down-regulated the mRNA levels of cyclic adenosine monophosphate effector binding protein （CREB） and BDNF （P<0.05） and the protein levels of protein kinase （PRKACA）， phosphorylation （p）-CREB/CREB， BDNF， and Cx43 （P<0.05） in the brain tissue. Compared with the model group， high-dose MA reduced the immobility time of mice in forced swimming （P<0.05） and tail suspension （P<0.01） tests， raised the serum levels of NE， BDNF， and 5-HT （P<0.01）， down-regulated the mRNA level of NF-κB （P<0.01）， and up-regulated the mRNA level of BDNF （P<0.01） and protein levels of PRKACA， p-CREB/CREB， BDNF， and Cx43 （P<0.05）. ConclusionMA alleviates the CORT-induced depressive behavior of mice. It may play an antidepressant role by regulating cAMP signaling pathway and gap junction pathway， improving synaptic plasticity and gap junction function， and reducing neuroinflammation.

ObjectiveTo explore the mechanisms associated with Mahoniae Caulis alkaloids （MA） in ameliorating depression by network pharmacology， molecular docking， and animal experiments. MethodsThe component targets of MA were obtained through Swiss Target Prediction and TCMIP database. The depression targets were collected through TCMIP， Genecards， HPO， DrugBank and OMIM database. The depression targets were collected through TCMIP， Genecards， HPO， DrugBank and OMIM database. Protein-protein interaction （PPI） network was constructed by protein interaction analysis （STRING） database. Gene ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） analyses were performed through Bioinformatics （DAVID） database. The docking of components and targets was performed by AGFR. The mouse model of depression was established by intraperitoneal injection of corticosterone （CORT） once a day for 35 consecutive days. Sixty mice were randomly allocated into control （0.9% normal saline）， model （CORT， 20 mg·kg^-1）， positive control （fluoxetine hydrochloride， 3.6 mg·kg^-1）， and MA （10， 5， and 2.5 mg·kg^-1） groups. Each group was administrated with corresponding medicine or normal saline once a day for 28 consecutive days. The depression-like behavior of mice was observed. The pathological changes of prefrontal cortex in mice were observed by hematoxylin-eosin staining. Terminal deoxynucleotidyl dUTP transferase nick end labeling （TUNEL） was employed to observe the apoptosis of neurons in the prefrontal cortex. Enzyme-linked immunosorbent assay was employed to assess the serum levels of brain-derived neurotrophic factor （BDNF）， dopamine （DA）， 5-hydroxytryptamine （5-HT）， and norepinephrine （NE） in mice. The mRNA levels of cyclic adenosine monophosphate （cAMP） pathway-related factors and inflammatory factors were determined by Real-time PCR. Western blot was employed to determine the expression of cAMP pathway-related factors and connexin 43 （Cx43）. ResultsA total of 434 component targets and 545 depression targets were obtained， including 84 common targets， among which 10 core targets were screened out. GO analysis predicted 34 biological processes， 15 cell components， and 11 molecular functions. The KEGG pathways were mainly related to gap junction and cAMP signaling pathway. The core components had good binding affinity with the core targets. The results of animal experiments showed that compared with the control group， CORT prolonged the immobility time of mice in forced swimming and tail suspension tests （P<0.01）， lowered the serum levels of NE， BDNF， and 5-HT （P<0.05）， up-regulated the mRNA levels of nuclear factor-κB （NF-κB） and interleukin-6 （IL-6） in the brain tissue （P<0.05）， and down-regulated the mRNA levels of cyclic adenosine monophosphate effector binding protein （CREB） and BDNF （P<0.05） and the protein levels of protein kinase （PRKACA）， phosphorylation （p）-CREB/CREB， BDNF， and Cx43 （P<0.05） in the brain tissue. Compared with the model group， high-dose MA reduced the immobility time of mice in forced swimming （P<0.05） and tail suspension （P<0.01） tests， raised the serum levels of NE， BDNF， and 5-HT （P<0.01）， down-regulated the mRNA level of NF-κB （P<0.01）， and up-regulated the mRNA level of BDNF （P<0.01） and protein levels of PRKACA， p-CREB/CREB， BDNF， and Cx43 （P<0.05）. ConclusionMA alleviates the CORT-induced depressive behavior of mice. It may play an antidepressant role by regulating cAMP signaling pathway and gap junction pathway， improving synaptic plasticity and gap junction function， and reducing neuroinflammation.

ObjectiveTo observe the clinical effectiveness and potential mechanism of combined tongue three-needle acupuncture and acupoint application on Lianquan （CV 23） for patients with dysphagia after ischemic stroke. MethodsA prospective study was conducted on 160 patients with post-stroke dysphagia， who were randomly divided into a treatment group and a control group， with 80 cases in each group. The control group received conventional rehabilitation training， while the treatment group received tongue three-needle acupuncture combined with acupoint application on Lianquan （CV 23） on the basis of conventional rehabilitation training， for 4 weeks in both groups. We compared the clinical effectivenss of both groups after treatment， and assessed the swallowing function including videofluoroscopic swallowing study （VFSS）， standardized swallowing assessment （SSA） and functional oral intake scale （FIOS）， swallowing contrast test including hyoid maximum displacement （HmaxD）， pharyngeal transit time （PTT）， and upper esophageal sphincter （UES） opening， surface electromyography （sEMG） test including maximum amplitude and swallowing duration as well as swallowing quality of life questionnaire （SWAL-QOL） score of the patients in both groups before treatment， after 2 weeks and 4 weeks of treatment， respectively. ResultsThe total effective rate in treatment group was 82.50% （66/80）， significantly higher than 66.25% （53/80） in control group （P＜0.05）. The VFSS， and FOIS scores， UES opening rate and HmaxD， sEMG maximal amplitude values， and SWAL-QOL scores were increased in both groups after 2 weeks and 4 weeks of treatment compared with the values before treatment （P＜0.05）， while SSA scores， PTT， and swallowing duration were decreased compared within group before treatment （P＜0.05）. VFSS and FOIS scores， UES opening rate and HmaxD， sEMG maximal amplitude values， and SWAL-QOL scores after 2 and 4 weeks of treatment in the treatment group were higher （P＜0.05）， while SSA scores， PTT， and swallowing duration were lower （P＜0.05） than those in the control group at the same time. ConclusionCombined tongue three-needle acupuncture and acupoint application on Lianquan （CV 23） for patients with dysphagia after ischemic stroke can significantly improve swallowing activities， and its mechanism of action may be related to the improvement of the contraction ability and coordination of swallowing-related muscle groups.

Objective: To explore the association between maternal lipid levels during pregnancy and the risk of overweight and obesity in offspring at 3 years of age, providing scientific evidences for the prevention and control of childhood obesity. Methods: A total of 2 432 mother-child pairs with maternal lipid tests during pregnancy and offspring s physical growth data at 3 years of age were included from the Borin in Guangzhou Cohort Study up to September 2021. Lipid indicators, including high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol(LDL-C), triglycerides (TG), and total cholesterol (TC), were measured at 13-19 +6 weeks (mid pregnancy) and 32-39 +6 weeks (late pregnancy). Children s body mass index (BMI) Z score were calculated according to the World Health Organization s growth standards for children under 5 years old. The lipid Z score were divided into four quartiles: Q 1, Q 2, Q 3 and Q 4. Linear regression was used to analyze the relationship between maternal lipid levels during pregnancy and offspring’s BMI Z score at 3 years of age. Poisson regression with a robust error variance was employed to evaluate the association between maternal lipid levels during pregnancy and the at risk of overweight and obesity in offspring at 3 years of age, after adjusting for maternal age at conception, education level, parity, pre pregnancy BMI and gestational diabetes mellitus. Results: There was a statistically significnt difference in the detection rate of overweight and obesity risk among children with different mothers s pre pregnancy BMI ( χ 2=22.85, P <0.05). Linear regression analysis showed that TG levels in late pregnancy were positively related to BMI Z score ( β=0.10, 95%CI=0.02-0.18, P <0.05). Poisson regression with a robust error variance indicated that, compared with the Q 1 group of TC, the Q 4 group of TC in mid pregnancy was associated with an increased risk of overweight and obesity in offspring at 3 years of age ( RR=1.59, 95%CI =1.04-2.44); compared with the Q 1 group of TG, the Q 4 group of TG during late pregnancy increased the risk of overweight and obesity in offspring at 3 years of age ( RR=1.79, 95%CI =1.02-3.12) (both P <0.05). Conclusions Maternal serum TC level during mid pregnancy can increase the risk of overweight and obesity in offspring at 3 years of age. Maternal serum TG levels during late pregnancy is positively correlated with BMI and the risk of overweight and obesity in offspring at 3 years of age.

Objective To construct a nomogram prediction model for the risk of mild cognitive impair-ment (MCI) in elderly people aged ≥ 60-year-old.Methods A total of 502 elderly permanent residents in Guangxi were selected as the research subjects by the multi-stage stratified random sampling method,and the general situation questionnaire and the Beijing edition of MoCA-BJ scale were used to investigate the elderly people,and their anthropometric indicators were collected.The minimum absolute shrinkage rate and selection operator (LASSO) regression were used to screen the characteristic variables.The MCI risk nomogram pre-diction model was constructed.The receiver operating characteristic (ROC) curve and calibration curve were adopted to conduct the fitting effect test on the prediction model.Results Among the 502 elderly people,244 cases (46.04％) had the normal cognition and 258 cases (48.68％) had MCI.The logistic regression analysis showed that the age,education background,month income,children support,calf circumference,BMI and body fat index were the influencing factors of MCI in the elderly people,and the nomogram prediction model of the MCI risk in the elderly people was constructed by these seven variables.The area under the ROC curve (AUC) of the model was 0.790 (95％CI:0.750-0.829),the sensitivity was 0.64,the specificity was 0.62,the C-index index was 0.790,and the model fitting x2=8.111,P=0.454,the predictive value was basically consistent with the actual value.Conclusion The nomogram prediction model of MCI risk in the elderly peo-ple is successfully constructed with good predictive effect.

Objective To compare the efficiency of nomogram and different machine learning algo-rithms for constructing the dental caries predictive models for middle-aged and elderly people.Methods The multi-stage stratified random sampling method was used to select 510 middle-aged and elderly people from Nanning City,Guigang City and Chongzuo City as the research subjects for conducting the questionnaire sur-vey and oral cavity examination.The univariate analysis and Lasso regression were used to screen the related variables,and the multivariate logistic regression analysis was used to determine the final independent influen-cing factors.Based on the salient features,the nomogram predictive model was established,and the seven ma-chine learning algorithms,including linear discriminant analysis (LDA),partial least squares (PLS),range Doppler algorithm (RDA),generalized linear models (GLM),random forest (RF),support vector machine (SVM) kernel function (SVM-Radial),and SVM linear kernel function (SVM-Linear),were used to construct the seven kinds of dental caries risk predictive models.The area under the receiver operating characteristic (ROC) curve (AUC) was adopted to evaluate the predictive performance of various models and the predictive performance of models constructed using different variable screening methods.Results The detection rate of dental caries in middle-aged and elderly people was 71.18％.After feature screening,the five predictive factors were ultimately retained,which were the age (OR=0.945,95％CI:0.917-0.973),brushing frequency (OR=0.688,95％CI:0.475-0.997),whether having teeth cleaning in the past one year (OR=0.303,95％CI:0.103-0.890),number of remaining teeth (OR=1.062,95％CI:1.038-1.087) and oral health assess-ment tool (OHAT) score (OR=1.363,95％CI:1.234-1.505).The results of comparison of various models showed that the predictive model constructed by the RF algorithm performed the best,the median of AUC was 0.747,followed by the nomogram,and the median of AUC was 0.733.The median of AUCs in the predic-tion model constructed by single factor+Lasso+multivariate logistic (Lasso+logistic) screening independent variables were higher than those constructed by RF algorithm screening independent variables.ConclusionBased on Lasso+logistic screening variables,RF provide more reliable predictive efficiency in predicting dental caries in middle-aged and elderly people than nomogram and the other machine learning algorithms.

Objective:To explore the clinical phenotype and genetic characteristics of a child with Hypotrichosis 14.Methods:A child who had presented at the Henan Provincial People′s Hospital on May 4, 2020 due to hair thinning was selected as the study subject. Clinical data of the child was collected. Peripheral venous blood samples were collected from the child and her parents. Genomic DNA was extracted and subjected to whole exome sequencing. Candidate variants were validated by Sanger sequencing and bioinformatic analysis.Results:The child, a 5-year-old female, had presented with thin, soft lanugo-like hair which was easy to fall off. The child was found to harbor compound heterozygous missense variants of the LSS gene, namely c. 1609G>A (p.V537M) in exon 17 and c. 802T>G (p.F268V) in exon 8, which were respectively inherited from her father and mother. Both variant sites were highly conserved, though based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), both variants were rated as variants of unknown significance (PM2_Supporting+ PP3+ PP4). Conclusion:The c. 1609G>A (p.V537M) and c. 802T>G (p.F268V) compound heterozygous variants of the LSS gene probably underlay the clinical phenotype in this patient.

Objective To explore the key targets and signaling pathways in the therapeutic mechanism of Semiliquidambar cathayensis Chang(SC)root against pancreatic cancer network pharmacology and molecular docking studies and cell experiments.Methods The targets of SC and pancreatic cancer were predicted using the network pharmacological database,the protein-protein interaction network was constructed,and pathways,functional enrichment and molecular docking analyses were performed.CCK-8 assay was used to test the inhibitory effect of the aqueous extract of SC root on 8 cancer cell lines,and its effects on invasion,migration,proliferation,and apoptosis of pancreatic cancer cells were evaluated.Western blotting was performed to verify the results of network pharmacology analysis.Results We identified a total of 18 active components in SC,which regulated 21 potential key targets in pancreatic cancer.GO and KEGG pathway enrichment analyses showed that these targets were involved mainly in the biological processes including protein phosphorylation,signal transduction,and apoptosis and participated in cancer signaling and PI3K-Akt signaling pathways.Among the 8 cancer cell lines,The aqueous extract of SC root produced the most obvious inhibitory effect in pancreatic cancer cells,and significantly inhibited the invasion,migration,and proliferation and promoted apoptosis of pancreatic cancer Panc-1 cells(P<0.05).Western blotting confirmed that SC significantly inhibited the phosphorylation levels of PI3K and AKT in Panc-1 cells(P<0.001).Conclusion The therapeutic effect of SC root against pancreatic cancer effects is mediated by its multiple components that act on different targets and pathways including the PI3K-Akt pathway.