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.

BACKGROUND:Cannabidiol is effective in ameliorating the body's inflammatory response,but no clear mechanistic studies have been conducted to ameliorate skeletal muscle inflammation induced by exhaustive exercise. OBJECTIVE:To explore the mechanism by which cannabidiol improves skeletal muscle inflammation during exhaustive exercise by using transcriptome sequencing technology. METHODS:Thirty-six Sprague-Dawley rats were randomly divided into six groups:blank control group,exercise coconut oil group,exercise control group,50 mg/kg cannabidiol group,60 mg/kg cannabidiol group,and 70 mg/kg cannabidiol group,with six rats in each group.Except for rats in the blank control group,rats in each group were subjected to swimming exercise for 9 days to produce the exhaustive exercise model.At the end of each swimming exercise,rats in the cannabidiol groups were given 2 mL of fat-soluble cannabidiol at different concentrations(50,60,and 70 mg/kg)by gavage;rats in the exercise coconut oil group were given the same volume of coconut oil by gavage until the end of the exercise on the 9th day;and rats in the blank control group and the exercise control group were not given any special treatment.The levels of inflammatory factors and differentially expressed genes in the skeletal muscle of rats in each group were determined using ELISA and transcriptome sequencing techniques.Differentially expressed genes obtained were subjected to KEGG analysis,and the accuracy of the sequencing data was verified by fluorescence quantitative PCR. RESULTS AND CONCLUSION:The results of ELISA showed that the contents of interleukin-6(P<0.05),tumor necrosis factor-α(P<0.01),interleukin-10 and other inflammatory factors in the exercise group increased significantly compared with the blank control group and the coconut oil group.After cannabidiol intervention,the mass concentrations of interleukin-6 and tumor necrosis factor-α showed a sequential decrease with increasing cannabidiol concentration.By comparing GO and KEGG databases,the functional properties of differentially expressed genes were analyzed,and the results showed that the differentially expressed genes were mainly involved in the tumor necrosis factor signaling pathway and the Toll-like receptor signaling pathway.RT-qPCR results showed that the trends of five randomly selected differentially expressed genes were in agreement with the transcriptome sequencing results.To conclude,cannabidiol can improve skeletal muscle inflammation caused by exhaustive exercise.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

BACKGROUND:Plasma coagulation factors have been shown to be strongly associated with chronic kidney disease in many observational studies.Nevertheless,the causal relationship between plasma coagulation factors and chronic kidney disease has not been fully revealed.OBJECTIVE:To assess and explore the association between plasma coagulation factors and chronic kidney disease risk using a two-sample Mendelian randomization approach.METHODS:Genome-wide association study data of 39 plasma coagulation factors with different ID numbers were obtained from the GWAS Catalog database and chronic kidney disease genome-wide association analysis data(ebi-a-GCST003374)were obtained from the Open Genome-Wide Association Study database(IEU Open GWAS),where the sample size of the chronic kidney disease dataset was 117 165 cases and the number of single nucleotide polymorphisms was 2 179 497.Inverse variance weighting,MR-Egger regression,weighted median,weighted mode,and simple mode were used to explore causality.Meanwhile,Cochran Q test was used to assess the variability of single nucleotide polymorphism loci.Horizontal pleiotropy of single nucleotide polymorphisms was verified by MR-Egger intercept test.Sensitivity analyses were performed using the"leave-one-out"method to determine whether the Mendelian randomization results would be confounded by a single single nucleotide polymorphism site.RESULTS AND CONCLUSION:(1)A total of four plasma coagulation factors were associated with chronic kidney disease by Mendelian randomization analysis of 39 plasma coagulation factors and chronic kidney disease.Plasma coagulation factor V(FV)level(odds ratio[OR]=0.922,95％confidence interval[CI]:0.875-0.971,P=0.002),plasma FVII level(OR=0.719,95％CI:0.521-0.991,P=0.044),plasma FXa level(OR=1.113,95％CI:1.009-1.227,P=0.032),plasma antithrombin-level(OR=0.849,95％CI:0.739-0.975,P=0.020)were significantly associated with chronic kidney disease(all P＜0.05).Horizontal pleiotropy and heterogeneity were not detected.(2)Based on the two-sample Mendelian randomization in the genetic epidemiologic method,plasma FVII level,plasma antithrombin-level,and plasma FV level of coagulation factors were protective factors for the risk of chronic kidney disease,and plasma FXa level was a risk factor of chronic kidney disease.(3)The above results confirm that there is a significant potential causal relationship between plasma coagulation factors and chronic kidney disease.Although we analyzed the data of European populations from international databases,these data analyses have a reference value for the study of chronic kidney disease and coagulation factors in China,and they also provide innovative insights into the study of the genetic epidemiology of chronic kidney disease,and they also provide a certain reference value for the in-depth study of the related databases in China,including the China Health and Retirement Longitudinal Study database.Future studies can focus on the assessment of hypocoagulability or hypercoagulability of related coagulation factors in patients with chronic kidney disease.

Objective To explore the effects of exosomes of mesenchymal stem cells(MSC-Exos)on the proliferation,apoptosis,migration and invasion of esophageal cancer ECA109 cells.Methods Human umbilical cord mesenchymal stem cells were cultured,exosomes were extracted and isolated,and identified by transmission electron microscopy.The nanoparticle size determination and protein characterization(TSG101,CD63)were measured by transmission electron microscope.There were the MSC-Exo group(MSC-Exos co-cultured with esophageal cancer ECA109 cells)and the blank control group(only esophageal cancer ECA109 cells),and cells were cultured for 0,24 and 48 h,respectively.CCK-8 proliferation test and scratch test were used to detect the proliferation and migration ability of esophageal cancer EAC109 cells in each group,respectively.After 48 h of culture,cell apoptosis and cell cycle changes were detected by flow cytometry.The protein expression levels of phosphoinositol 3-kinase phosphorylation(p-PI3K),rabbit phosphorylated protein kinase B phosphorylation(p-Akt)and β-catenin were detected by Western blot assay.Results After identification,the obtained MSC-Exos meeted the required standard.Transmission electron microscopy,particle size measurement and marker protein results confirmed that the extracted exosomes of mesenchymal stem cells meeted the identification criteria.At 0 h of cell culture,there were no significant differences in cell proliferation and migration healing rate between the two groups(P＞0.05).After 24 h culture,the cell proliferation ability was lower in the MSC-Exo group than that of the blank control group(P＜0.05).After 48 h culture,the cell proliferation and migration healing rate were lower in the MSC-Exo group than those of the blank control group(P＜0.05).The apoptosis rate of the MSC-Exo group was higher than that of the blank control group,and the proportion of G2+S phase cells was lower than that of blank control group(P＜0.05).The expression levels of p-PI3K,p-Akt and β-catenin protein were significantly lower in the MSC-Exo group than those in the blank control group(P＜0.05).Conclusion MSC-Exos can inhibit the proliferation and migration of esophageal cancer cells and promote cell apoptosis.The inhibitory effect of MSC-Exos on esophageal cancer cells may be related to inhibiting the activation of PI3K and Akt protein and the down-regulating expression of β-catenin protein.

Objective To analyze the potential biological relationship between Alzheimer disease(AD)and chronic periodontitis(CP)by bioinformatics.Methods We analyzed two datasets of AD and CP from the Gene Expression Omnibus database,and differentially expressed genes(DEGs)were identified from these datasets.Weighted gene co-expression network analysis(WGCNA)was used to identify the most relevant modules.Functional enrichment analysis of shared genes was performed,and a protein-protein interaction(PPI)network was constructed.MCODE was used to identify key modules,and machine learning was used to discover key genes.In addition,Gene Set Enrichment Analysis(GSEA)and CIBERSORT were used to investigate KLRB1-related molecular pathways and immune cell distribu-tion.Results The study identified 18 genes common to both AD and CP.MCODE analysis revealed five pivotal genes,machine learning identified 13 genes for AD,eight for CP,and KLRB1 was determined as a common gene for AD and CP.GSEA demonstrated the intricate involvement of these genes in disease-related pathways.Immunocellular analysis underscored a significant association between KLRB1 and γδT cells.Conclusion This research highlighted KLRB1 as a key gene for AD and CP,providing new insights into their molecular linkages.

Objective To investigate changes and clinical significance of serum cytokine signaling inhibitor-1(SOCS-1),soluble myeloid triggering receptor-2(sTREM-2)and ATP citrate lyase(ACLY)in patients with pulmonary Klebsiella pneumoniae infection.Methods A total of 100 patients infected with Klebsiella pneumoniae were selected as the infection group,and 70 healthy subjects in our hospital were selected as the control group.According to the pneumonia severity index(PSI)score,patients of the infection group were divided into the severe group(PSI>90,32 cases)and the mild group(PSI≤90,68 cases).The expression levels of SOCS-1,sTREM-2 and ACLY in the infection group and the control group were detected by enzyme-linked immunosorbent assay.Pearson method was used to analyze the relationship between serum levels of SOCS-1,sTREM-2,ACLY and PSI scores in the infection group.Multivariate Logistic regression analysis was performed to analyze factors affecting the disease status of patients with pulmonary Klebsiella pneumoniae infection.The diagnostic value of serum levels of SOCS-1,sTREM-2 and ACLY in patients with Klebsiella pneumoniae infection was analyzed by receiver operating characteristic curve(ROC).Results The levels of white blood cell(WBC)count,procalcitonin(PCT),C-reactive protein(CRP),serum SOCS-1,sTREM-2 and ACLY were higher in the infection group than those in the control group(P＜0.01).In infection group,serum levels of SOCS-1,sTREM-2 and ACLY were positively correlated with PSI scores(r=0.419,0.373,0.391,P＜0.05).Serum levels of SOCS-1,sTREM-2 and ACLY were higher in the severe group than those in the mild group(P＜0.01).The elevated serum SOCS-1,sTREM-2 and ACLY were risk factors for severe disease in patients with pulmonary Klebsiella pneumoniae infection(P＜0.05).The areas under the curve(AUC)of SOCS-1,sTREM-2 and ACLY alone and in combination for the diagnosis of severe pulmonary Klebsiella pneumoniae infection were 0.787,0.837,0.847 and 0.929,respectively,and the combined diagnostic efficiency was the highest.Conclusion Serum SOCS-1,sTREM-2 and ACLY are elevated in patients with pulmonary Klebsiella pneumoniae infection,and their expression levels are related to the condition of patients with pulmonary Klebsiella pneumoniae infection.The combined detection of the three is better than testing alone for severe pulmonary Klebsiella pneumoniae infection.

Objective:To analyze the changes in the phylogenetic and antigenic characteristics of the hemagglutinin (HA) gene of influenza virus A(H3N2) [A(H3N2)] during the 2022-2024 influenza seasons in Beijing.Methods:The data of influenza-like cases and A(H3N2) strains from 17 network laboratories and their corresponding sentinel hospitals were collected during the 2022-2024 influenza seasons. The HA genes were amplified and sequenced after extracting nucleic acids of the chosen virus strains. BioEdit, the nucleotide and amino acid sequence identity were conducted, and the maximum likelihood method in MEGA 5.0 software was used to construct the phylogenetic tree of HA genes. Web Logo displayed the amino acid mutation, and the N-glycosylation sites of HA online were analyzed using the NetNGlyc1.0 Server online. The Datamonkey platform was utilized to analyze the positive selection pressure sites of the HA protein.Results:The 2022-2024 influenza season includes 2022-2023 and 2023-2024. During the influenza seasons of 2022-2024, the positive rates of A(H3N2) nucleic acid were 10.35% (2 127/20 543) and 10.47% (4 386/41 876), respectively. In the 2022-2023 influenza season, there were two peaks in the A(H3N2). The comparison of HA genes between all A(H3N2) strains studied with the 2022-2024 vaccine strain (A/Darwin/9/2021) revealed that all of the strains studied have the two amino acid mutations involving 186 and 225 receptor binding sites. There were 31 amino acid substitutions in the 2022-2023 influenza season, of which 18 variant sites involved antigenic determinants. There were 35 amino acid mutations during the 2023-2024 influenza season, of which 14 were related to antigenic determinants. There were changes in the genetic evolutionary subclades of A(H3N2) strains in two influenza seasons: from 2022 to 2023, three evolutionary subclades were co-prevalent together, with the 3C.2a1b.2a.2a.3a.1 accounting for 76.67% (23/30), the 3C.2a1b.2a.1a accounting for 20.00% (6/30), the 3C.2a1b.2a.2a.1 accounting for 3.33% (1/30); from 2023 to 2024, two subclades were prevalent, with 3C.2a1b.2a.2a.3a.1 accounting for 95.12% (39/41) and 3C.2a1b.2a.2a.1 accounting for 4.88% (2/41). The glycosylation site changes of the HA protein of A(H3N2) have been enhanced from 2023 to 2024. The 145 amino acid position of the HA protein of the A(H3N2) was the positive selection site for stress selection site analysis.Conclusions:The evolutionary subclades of the HA gene of A(H3N2) in Beijing showed changes from 2022 to 2024, and the glycosylation site polymorphism of the HA protein of A(H3N2) significantly increased from 2023 to 2024. Continuous monitoring of HA mutations in the A(H3N2) is crucial, providing a basis for developing influenza prevention and control strategies, as well as new strategic support for screening influenza vaccine components, vaccine design, and discovery of drug targets.