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 genetically investigate the protective effects of statins on breast cancer. Methods Instrumental variables for the statin target gene HMGCR and five other cholesterol-regulated genes (LDLR, PCSK9, ABCG8, APOB, and NPC1L1) were obtained from previous expression quantitative trait locus (eQTL) studies. Cholesterol-regulated genes predicted by these instrumental variables served as the exposure factors. Mendelian randomization based on pooled data (SMR) was conducted to explore the genetic effects of exposure factors on the incidence risk of all breast cancers, ER+ breast cancer, and ER-breast cancer. Instrumental variables for total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and non-high-density lipoprotein cholesterol (non-HDL-C) were derived from a previous human genome-wide association study and restricted to be chromosomally located within 100 kb of the above cholesterol regulatory genes; the instrumental variables could predict TC, LDL-C, or non-HDL-C levels under the regulation of the abovementioned cholesterol-associated genes which were used as exposure factors. Two-sample Mendelian randomization (IVW, MR-PRESSO, and MR-Egger) was used to explore the genetic effects of exposure factors on the risk of all breast cancers, ER+ breast cancer, and ER− breast cancer. Results SMR analysis reported that elevated HMGCR expression was significantly associated with the increased incidence risk of all breast cancers and ER+ breast cancer (P=0.044 and P=0.039, respectively) but not with the change in incidence risk of ER− breast cancer (P=0.190); the other five regulatory genes were not significantly correlated with the change in incidence risk of all breast cancers, ER+ breast cancer, and ER− breast cancer (all P>0.05). IVW analysis reported that under the regulation of HMGCR, elevated levels of peripheral TC, LDL-C, and non-HDL-C significantly increased the incidence risk of all breast cancers (P=1.160e-05, P=1.248e-05, and P=1.869e-05) and the incidence risk of ER+ breast cancer (P=3.181e-04, P=2.231e-04, and P=3.520e-04), but they were not associated with a change in the incidence risk of ER− breast cancer (P=0.062, P=0.133, and P=0.055). The results of MR-PRESSO and MR-Egger analyses supported the IVW results. Conclusion Statins could reduce the incidence risk of ER+ breast cancer at the genetic level, but there is no such protective effects on ER− breast cancer.

Following the release of the Technical Requirements on Quality Control and Standard Establishment of Traditional Chinese Medicine Formula Granules by the National Medical Products Administration in 2021, Chinese Pharmacopoeia Commission has promulgated 296 national drug standards so far, and most provinces have started the work of establishing provincial standards as supplements. The promulgation of standards fostered high-quality development of the industry. Since the implementation of national and provincial standards for more than three years, enterprises have gained deep understanding and hands-on experiences on the characteristics, technical requirements, production process, and quality control of traditional Chinese medicine(TCM) formula granules. Meanwhile, challenges have emerged restricting the high-quality development of this industry, including how to formulate quality control strategies for medicinal materials and decoction pieces, how to reduce manufacturing costs, and how to improve the pass rate and product stability under high standards. Based on the work experiences from standard management and process research, this article analyzed the distribution of sources, processing methods, dry extract rate ranges, process requirements for volatile oil-containing decoction pieces, control measures of safety indices, characteristics and trends of setting characteristic chromatograms or fingerprints, characteristics and trends of setting content ranges, and main differences between national standards and provincial standards. On the one hand, this article aims to present main characteristics for deeply understanding different indicators in standards and provide basic ideas for establishing quality and process control systems. On the other hand, from the perspective of industrial practice, suggestions are put forward on the important aspects that need to be focused on in the quality and process control of TCM formula granules.
Drugs, Chinese Herbal/chemistry* ; Quality Control ; Medicine, Chinese Traditional/standards* ; China ; Drug Industry/standards*

"Weibing" is a fundamental concept in traditional Chinese medicine (TCM), representing a transitional state characterized by diminished self-regulatory abilities without overt physiological or social dysfunction. This perspective delves into the biological foundations and quantifiable markers of Weibing, aiming to establish a research framework for early disease intervention. Here, we propose the "Health Quadrant Classification" system, which divides the state of human body into health, sub-health, disease-susceptible state, and disease. We suggest the disease-susceptible stage emerges as a pivotal point for TCM interventions. To understand the intrinsic dynamics of this state, we propose laboratory and clinical studies utilizing time-series experiments and stress-induced disease susceptibility models. At the molecular level, bio-omics technologies and bioinformatics approaches are highlighted for uncovering intricate changes during disease progression. Furthermore, we discuss the application of mathematical models and artificial intelligence in developing early warning systems to anticipate and avert the transition from health to disease. This approach resonates with TCM's preventive philosophy, emphasizing proactive health maintenance and disease prevention. Ultimately, our perspective underscores the significance of integrating modern scientific methodologies with TCM principles to propel Weibing research and early intervention strategies forward.

Laccases (LACs), belonging to the multicopper oxidase family, are closely associated with various biological functions including lignin synthesis and responses to biotic and abiotic stresses in plants. However, few studies have reported the laccase genes in China rose (Rosa chinensis). Prickles cause difficulties to the management and harvest of R. chinensis and have become a trait concerned in the breeding. To investigate the expression patterns of laccase genes in roses, we cloned a laccase gene from an ancient variety R. chinensis 'Old Blush' and named it RcLAC15. The expression level of RcLAC15 in prickles was significantly higher than those in roots, stems, and leaves. Fifty-eight laccase genes were identified in the genome of R. chinensis, and bioinformatics analysis revealed that RcLAC15 was a homolog of AtLAC15, predicting that RcLAC15 was a stable hydrophilic protein without transmembrane structures. The recombinant expression vector pBI121-proRcLAC15:: GUS was introduced into Arabidopsis, and GUS staining results showed that the RcLAC15 promoter specifically drove GUS gene expression at the edges of Arabidopsis leaves. In summary, RcLAC15 is a gene specifically expressed in the prickles of R. chinensis. This discovery provides a reference for exploring the biological functions of laccase genes in the prickles of R. chinensis.
Laccase/metabolism* ; Rosa/enzymology* ; Cloning, Molecular ; Gene Expression Regulation, Plant ; Plant Proteins/metabolism* ; Arabidopsis/metabolism* ; Plants, Genetically Modified/metabolism*

Objective:To compare the prognostic values of different classification by using transpulmonary pressure gradient (TPG), diastolic pressure gradient (DPG) and pulmonary vascular resistance (PVR) in patients with pulmonary hypertension due to left heart disease (PH-LHD), and investigated hemodynamic and clinical factors associated with mortality in patients with PH-LHD.Methods:This was a single-center prospective cohort study. In-hospital patients diagnosed with PH-LHD via right heart catheterization at the Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, from September 2013 to December 2019 were enrolled. Patients were divided according to TPG (cutoff value 12 mmHg; 1 mmHg=0.133 kPa), DPG (cutoff value 7 mmHg), PVR (cutoff value 3 Wood Units), and the combination of TPG and PVR. Baseline characteristic was recorded. All patients were followed up until the occurrence of endpoint event, defined as all-cause death that occurred during the follow-up period, or until April 18, 2022. Receiver operating characteristic curves were used to compare the predictive value of 3 classification methods for all-cause death in PH-LHD patients. The optimal cutoff values were calculated using Jorden index. Survival analysis was performed using Kaplan-Meier analysis, and log-rank test was used to compare the predictive efficacy of classification methods based on optimal cutoff values or guidance-recommended thresholds for the survival of PH-LHD patients. Variables showing statistical significance in the univariate analysis were incorporated into multivariate Cox regression model to analyze the independent risk factors for all-cause mortality.Results:A total of 243 patients were enrolled, aged (54.9±12.7) years old, including 169 (69.5%) males. During a median follow-up of 57 months, there were 101 (41.6%) deaths occurred. Grouping results were as follows: (1) TPG: TPG≤12 mmHg group 115 patients, TPG>12 mmHg group 128 patients; (2) DPG: DPG<7 mmHg group 193 patients, DPG≥7 mmHg group 50 patients; (3) PVR: PVR≤3 Wood Units group 108 patients, PVR>3 Wood Units group 135 patients; (4) TPG and PVR: TPG≤12 mmHg and PVR≤3 Wood Units group 89 patients, TPG>12 mmHg and PVR>3 Wood Units group 109 patients. PVR ( AUC=0. 698,95% CI:0.631-0.766) had better predictive value for all-cause mortality than TPG ( AUC=0.596, 95% CI: 0.523-0.669) and DPG ( AUC=0.526, 95% CI: 0.452-0.601) (all P<0.05). The optimal cutoff values for TPG, DPG, and PVR were13.9 mmHg, 2.8 mmHg, and 3.8 Wood Units, respectively. Kaplan-Meier analysis based on the optimal cutoff values or guidance-recommended thresholds showed that PVR and TPG were the predictors of survival ( P<0.05), while DPG did not showed significance ( P>0.05). Multivariate Cox regression analysis showed that age, PVR and log 2N-terminal pro-B-type natriuretic peptide were independent risk factors for all-cause mortality in PH-LHD patients (all P<0.05). Conclusion:Classification according to PVR was most valuable in predicting all-cause death in PH-LHD patients, while TPG showed moderate predictive ability and DPG had no predictive value.

AIM:To investigate the alleviating effect of ethyl acetate extract from Platycladus orientalis leaves(EAEPOL)on diabetic cardiomyopathy(DCM)and its mechanisms.METHODS:Healthy adult C57BL/6 mice were ran-domly divided into normal control group,DCM group,and EAEPOL group.Cardiac structure and function of the mice were assessed by echocardiography.Myocardial fibrosis was evaluated though myocardial hydroxyproline content determi-nation,myocardial Masson and Sirius red staining,and collagen type I(Col I)and collagen type Ⅲ(Col Ⅲ)immunohis-tochemistry.The degree of myocardial oxidative stress was assessed by measuring malondialdehyde(MDA),superoxide dismutase(SOD)and total antioxidative capacity(T-AOC)levels using kits,as well as detection of nuclear factor E2-re-lated factor-2(Nrf-2)and heme oxygenase-1(HO-1)expression by qRT-PCR and Western blot.Endothelial-mesenchy-mal transition(EndMT)was evaluated by detecting CD31 and α-smooth muscle actin(α-SMA)protein expression by Western blot,and cadherin 5(CDH5)and fibroblast specific protein 1(FSP1)mRNA expression by qRT-PCR,as well as α-SMA immunofluorescence staining.RESULTS:(1)Mouse echocardiography revealed that compared with normal control group,heart rate(HR)and ejection fraction(EF)were significantly reduced in DCM group(P<0.05 or P<0.01),while left ventricular anterior wall thickness at systole and diastole(LVAWs and LVAWd)and left ventricular pos-terior wall thickness at systole and diastole(LVPWs and LVPWd)were significantly increased(P<0.05).Compared with DCM group,the mice in EAEPOL group showed significant increases in HR and EF(P<0.01),and marked decreases in LVAWs,LVAWd,LVPWs and LVPWd(P<0.05).(2)Compared with normal control group,the content of hydroxypro-line in mouse myocardium,the collagen area ratio shown by Sirius red and Masson staining,and the immunohistochemical positive area ratio of Col I and Col Ⅲ in DCM group were significantly increased(P<0.01).Compared with DCM group,the above myocardial fibrosis indicators in EAEPOL group were significantly reduced(P<0.05 or P<0.01).(3)Com-pared with normal control group,the myocardial MDA content and the expression of Nrf-2 in DCM group were significantly increased,while the SOD activity,the T-AOC and the expression of HO-1 was significantly decreased(P<0.01).Com-pared with DCM group,the myocardial MDA content in EAEPOL group was significantly reduced,while the SOD activity,the T-AOC,and the HO-1 and Nrf-2 expression were significantly enhanced(P<0.05 or P<0.01).(4)Compared with normal control group,the myocardial expression of CD31 and CDH5 in DCM group was significantly reduced,the expres-sion of α-SMA and FSP1 was significantly enhanced(P<0.05 or P<0.01),and the α-SMA positive area ratio by immuno-fluorescence staining was also increased(P<0.01).Compared with DCM group,EAEPOL significantly up-regulated the expression of CD31 and CDH5 and down-regulated the expression of α-SMA and FSP1,and the α-SMA positive area ratio by immunofluorescence staining was evidently decreased(P<0.05 or P<0.01).CONCLUSION:EAEPOL may attenuate myocardial fibrosis and improve cardiac function in DCM mice by suppressing oxidative stress and alleviating EndMT.

Objective The Network Enhancement Fusion(ne-SNF)method had no denoising strategy for the networks from each omics data type,which would weaken the power of network fusion.To address this problem,we proposed an improved Network Enhancement Fusion(improved ne-SNF)model,and further applied the method to subtype identification of papillary renal cell carcinoma.Methods We conducted simulation studies to compare the performances of the improved ne-SNF method with the ne-SNF and SNF method,and applied improved ne-SNF method to integrate multi-omics data of PRCC.Cox regression model was performed to evaluate the prognostic risk of different subtypes.Differentially expressed mRNAs(DEmRNAs),miRNAs(DEmiRNAs)and differentially methylated genes(DMGs)with different subtypes were screened.KEGG pathway analysis was performed for the overlapping genes of three gene sets.Finally,the immune cell infiltration analysis was performed for patients with different subtypes.Results The improved ne-SNF method outperformed both SNF and ne-SNF approach in various simulation scenarios.In subsequent subtyping application,PRCC patients were divided into high-risk and low-risk groups,and the risk of death was 7.727 times higher in the high-risk group than in the low-risk group.A total of 3511 DEmRNAs,96 DEmiRNAs and 3426 DMGs were identified.Among them,649 overlapping genes yielded 42 KEGG pathways with statistical differences.In addition,3 immune filtrating cells showed statistical significance.Conclusion The improved ne-SNF performed better than SNF and ne-SNF,and the identified subtypes of PRCC may provide important clues and basis for treatment of PRCC patient.

Studies have shown that Humanin protein plays a neuroprotective role in the process of anti-Alzheimer's disease in a variety of ways.This review introduces the latest research progress on the neuroprotective effect of Humanin protein in Alzheimer's disease from the aspects of the discovery,structural characteristics,neuroprotective mechanism of Humanin and the structure and function of its new homologous secretory peptide Rattin.