1.Analysis of the efficacy of traditional Chinese medicine for diabetic retinopathy based on evidence body quality assessment
Juan LING ; Zhuolin XIE ; Xiangxia LUO ; Wanying GUO ; Jiajin LI ; Jun ZHOU ; Xufei LUO
China Pharmacy 2025;36(7):863-866
		                        		
		                        			
		                        			OBJECTIVE To evaluate the quality of evidence in the systematic evaluation/meta-analysis of traditional Chinese medicine (TCM) for diabetes retinopathy (DR) based on the GRADE system. METHODS Chinese and English databases were searched to obtain the relevant studies of systematic evaluation/meta-analysis of traditional Chinese medicine in the treatment of DR. The search time was from the establishment of each database to January 13th, 2024. According to the inclusion and exclusion criteria, literature screening was conducted. After extracting relevant information from the included literature, the GRADE system was used to evaluate the quality level of the evidence body in the included studies, and the evidence of the outcome indicators was integrated and summarized. RESULTS A total of 51 studies were ultimately included, encompassing 135 outcome indexes. Among these, 19 indicators (14.1%) were of high quality, 87 (64.4%) were of medium quality, 26 (19.3%) were of low quality, and 3 (2.2%) were of very low quality. Overall, the evidence quality of the outcome indicators in the included studies was medium to low quality. The integrated results of evidence on the efficacy of outcome indexes showed that compared with conventional Western medicine, calcium dobesilate or placebo, TCM had significant advantages in improving overall efficacy, reducing bleeding spot area, reducing macular foveal thickness, and increasing visual improvement rate. In addition,the combination of TCM and conventional Western medicine or calcium dobesilate was significantly more effective than using conventional Western medicine or calcium dobesilate alone. CONCLUSIONS The overall quality of the evidence in the systematic evaluation/meta-analysis study on the treatment of DR with TCM is medium to low quality. Based on existing research findings, TCM demonstrates good clinical efficacy in the treatment of DR.
		                        		
		                        		
		                        		
		                        	
2.No difference in polyspermia index between older men(≥40 years) and younger men: a propensity score matching study
Guangyao LI ; Qiao ZHOU ; Hui JI ; Juan JI ; Xiufeng LING
Journal of Modern Urology 2024;29(11):951-955
		                        		
		                        			
		                        			[Objective] To investigate the effects of advanced male age on the incidence of polyspermy fertilization. [Methods] The study involved data of 4210 in vitro fertilization (IVF) cycles treated in our center during Jan.2016 and Sep.2022, including 4053 patients younger than 40 years and 157 patients above 40 years.After propensity score matching, 152 patients in the advance group and 421 in the young group were recruited.The baseline data and the difference in polyspermy fertilization rate were compared between the two groups. [Results] After propensity score matching, there were no significant differences between the two groups in terms of female age, infertility type, infertility years, infertility factors, female body mass index (BMI), male BMI, semen volume, semen pH value, sperm concentration, sperm motility, progressive motility rate, percentage of normal sperm morphology, number of fertilized eggs and number of MⅡ eggs (P>0.05). Among the 573 fresh IVF cycles, the rate of 3 PN cycles was 35.5%, and the incidence of polyspermy fertilization was 6.5%.There were no significant differences in the number of polyspermy fertilized eggs, transferable embryos, high-quality embryos, and blastocysts between the two groups. [Conclusion] Advanced male age has no significant effect on the incidence of polyspermy fertilization.
		                        		
		                        		
		                        		
		                        	
3.Pafolacianine,optical imaging agents for intraoperative tumor detection
Zhao WANG ; Chao-Yang CHEN ; Ran WEI ; Xuan-Ling ZHANG ; Xiao-Juan HU ; Ying ZHOU
The Chinese Journal of Clinical Pharmacology 2024;40(11):1658-1660
		                        		
		                        			
		                        			Pafolacianine is a fluorescent agent that specifically targets folate receptors,employed in the treatment of adult ovarian cancer patients to support the detection of malignant growths during surgical interventions.Pafolacianine binds to cancer cells expressing folate receptors,accumulating within folate-receptor-positive tumor tissue through receptor-mediated endocytosis.It can be excited by near-infrared fluorescence imaging,facilitating the surgical removal of tumors during procedures.This article gives an introduction to the mechanism of action,pharmacokinetics,clinical studies,and safety aspects of Pafolacianine.
		                        		
		                        		
		                        		
		                        	
4.Piflufolastat F 18 for PSMA PET imaging in prostate cancer
Jing-Tian SHI ; Ting YANG ; Chao-Yang CHEN ; Ran WEI ; Xuan-Ling ZHANG ; Xiao-Juan HU ; Ying ZHOU
The Chinese Journal of Clinical Pharmacology 2024;40(12):1835-1838
		                        		
		                        			
		                        			On May 27,2021,the U.S.Food and Drug Administration(FDA)officially approved Lantheus'PYLARIFY?(Piflufolastat F 18,18 F-labeled imaging agent),which can be used for positron emission computed tomography(PET)of prostate-specific membrane antigen(PSMA)-positive lesions in prostate cancer patients to accurately identify prostate cancer with suspected metastasis or recurrence.Piflufolastat F 18 is approved by FDA for two indications.The first is the initial staging for suspected metastatic lesions in men with newly diagnosed prostate cancer.The second is restaging,with the goal of identifying lesions in the setting of biochem ical recurrence.
		                        		
		                        		
		                        		
		                        	
5.Diabetes Promotes Myocardial Fibrosis via AMPK/EZH2/PPAR-γ Signaling Pathway
Shan-Shan LI ; Lu PAN ; Zhen-Ye ZHANG ; Meng-Dan ZHOU ; Xu-Fei CHEN ; Ling-Ling QIAN ; Min DAI ; Juan LU ; Zhi-Ming YU ; Shipeng DANG ; Ru-Xing WANG
Diabetes & Metabolism Journal 2024;48(4):716-729
		                        		
		                        			 Background:
		                        			Diabetes-induced cardiac fibrosis is one of the main mechanisms of diabetic cardiomyopathy. As a common histone methyltransferase, enhancer of zeste homolog 2 (EZH2) has been implicated in fibrosis progression in multiple organs. However, the mechanism of EZH2 in diabetic myocardial fibrosis has not been clarified. 
		                        		
		                        			Methods:
		                        			In the current study, rat and mouse diabetic model were established, the left ventricular function of rat and mouse were evaluated by echocardiography and the fibrosis of rat ventricle was evaluated by Masson staining. Primary rat ventricular fibroblasts were cultured and stimulated with high glucose (HG) in vitro. The expression of histone H3 lysine 27 (H3K27) trimethylation, EZH2, and myocardial fibrosis proteins were assayed. 
		                        		
		                        			Results:
		                        			In STZ-induced diabetic ventricular tissues and HG-induced primary ventricular fibroblasts in vitro, H3K27 trimethylation was increased and the phosphorylation of EZH2 was reduced. Inhibition of EZH2 with GSK126 suppressed the activation, differentiation, and migration of cardiac fibroblasts as well as the overexpression of the fibrotic proteins induced by HG. Mechanical study demonstrated that HG reduced phosphorylation of EZH2 on Thr311 by inactivating AMP-activated protein kinase (AMPK), which transcriptionally inhibited peroxisome proliferator-activated receptor γ (PPAR-γ) expression to promote the fibroblasts activation and differentiation. 
		                        		
		                        			Conclusion
		                        			Our data revealed an AMPK/EZH2/PPAR-γ signal pathway is involved in HG-induced cardiac fibrosis. 
		                        		
		                        		
		                        		
		                        	
6.The PK bioanalysis method study of c-Met antibody-drug conjugate (RC108) in cynomolgus monkey
Hong-yu ZHOU ; Shu-juan WANG ; Zhi-hao LIU ; Ke MA ; Ling WANG ; Jing JIANG
Acta Pharmaceutica Sinica 2023;58(6):1663-1668
		                        		
		                        			
		                        			 Antibody-drug conjugate (ADC) has the characteristics of low toxicity and high efficiency, and plays an important role in cancer treatment. However, due to the complexity of its structure, it brings difficulties in pharmacokinetic (PK) bioanalysis. This study established an analytical method for the detection of ADC (RC108) in cynomolgus monkey plasma by ligand-binding assay (LBA) and liquid chromatography tandem mass spectrometry (LC-MS/MS), which was used to analyze and quantify the total antibody, bound antibody and free drug in cynomolgus monkey plasma. Based on the LBA method, rabbit anti-RC108 Fab and mouse anti-MMAE (monomethyl auristatin E) mAb were pre-coated in 96-well plates as the total antibody and antibody binding reagents, respectively. The samples to be tested were added, and then the detection reagents were added in turn. Goat anti-human IgG (H+L)-HRP, chromogenic solution tetramethylbenzidine (TMB), H2SO4 terminate the reaction, read data at 450 nm/630 nm wavelength of microplate reader; LC-MS/MS analysis method quantifies MMAE concentration, and refer to relevant regulations for methodological validation. The analytical method for quantifying total antibody, bound antibody and free drug of RC108 drug obtained good accuracy and precision, and the selectivity, dilution linearity, hook effect, parallelism and stability were verified. Meet the requirements of biological analysis. Finally, a bioanalytical method for the determination of the concentration of the test substance RC108 (total antibody, conjugated antibody, free MMAE) in cynomolgus monkey plasma with high sensitivity and high throughput was established by LBA and LC-MS/MS method. Subsequent non-clinical research on PK research in cynomolgus monkeys will provide technical support. 
		                        		
		                        		
		                        		
		                        	
7.Predictive Effects of Different Insulin Resistance Indexes on Diabetes Risk in Hypertensive Population.
Tao WANG ; Chao YU ; Guo-Tao YU ; Wei ZHOU ; Ling-Juan ZHU ; Xiao HUANG ; Hui-Hui BAO ; Xiao-Shu CHENG
Acta Academiae Medicinae Sinicae 2023;45(2):206-212
		                        		
		                        			
		                        			Objective To explore the roles of different insulin resistance indexes[triglyceride-glucose (TyG),triglyceride (TG)/high-density lipoprotein cholesterol (HDL-C),and metabolic score for insulin resistance (METS-IR)]and combinations of two indexes in predicting diabetes risk in hypertensive population. Methods The survey of hypertension was conducted for the residents in Wuyuan county,Jiangxi province from March to August in 2018.The basic information of hypertensive residents was collected by interview.Blood was drawn on an empty stomach in the morning and physical measurements were carried out.Logistic regression model was employed to analyze the relationship between different insulin resistance indexes and diabetes,and the area under the receiver operating characteristic curve was used for evaluating the predictive effects of each index on diabetes risk. Results A total of 14 222 hypertensive patients with an average age of (63.8±9.4) years old were included in this study,including 2616 diabetic patients.The diabetic hypertensive population had higher TyG (t=50.323,P<0.001),TG/HDL-C (Z=17.325,P<0.001),and METS-IR (t=28.839,P<0.001) than the non-diabetic hypertensive population.Multivariate analysis showed that each insulin resistance index was positively correlated with diabetes risk.The area under curve of each insulin index was in a descending order of TyG (0.770)> METS-IR (0.673)> TG/HDL-C (0.620).The difference in the area under curve between two indexes was statistically significant[TyG vs.TG/HDL-C (Z=42.325,P<0.001);TyG vs.METS-IR(Z=17.517,P<0.001);METS-IR vs.TG/HDL-C (Z=10.502,P<0.001)]. Conclusions Elevated insulin resistance indexes can increase the risk of diabetes.TyG and the combination of indexes outperform TG/HDL-C and METS-IR in the prediction of diabetes.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Aged
		                        			;
		                        		
		                        			Insulin Resistance
		                        			;
		                        		
		                        			Blood Glucose/metabolism*
		                        			;
		                        		
		                        			Biomarkers
		                        			;
		                        		
		                        			Diabetes Mellitus
		                        			;
		                        		
		                        			Hypertension
		                        			;
		                        		
		                        			Glucose
		                        			;
		                        		
		                        			Triglycerides
		                        			;
		                        		
		                        			Cholesterol, HDL
		                        			
		                        		
		                        	
8.Associations Between Insulin Resistance Indexes and Hyperuricemia in Hypertensive Population.
Fang XIONG ; Chao YU ; Ling-Juan ZHU ; Tao WANG ; Wei ZHOU ; Hui-Hui BAO ; Xiao-Shu CHENG
Acta Academiae Medicinae Sinicae 2023;45(3):390-398
		                        		
		                        			
		                        			Objective To explore the relationship between insulin resistance (IR) indexes and hyperuricemia (HUA) among the people with hypertension. Methods From July to August in 2018,hypertension screening was carried out in Wuyuan county,Jiangxi province,and the data were collected through questionnaire survey,physical measurement,and biochemical test.Logistic regression was performed to analyze the relationship between HUA and IR indexes including metabolic score for IR (METS-IR),triglyceride-glucose (TyG) index,TyG-body mass index (BMI),TyG-waist circumference (WC),visceral adiposity index (VAI),triglyceride (TG)/high-density lipoprotein cholesterol (HDL-C),and lipid accumulation product (LAP).The penalty spline method was used for the curve fitting between IR indexes and HUA.The area under the receiver operating characteristic curve (AUC) was employed to reveal the correlation between each index and HUA. Results The 14 220 hypertension patients included 6 713 males and 7 507 females,with the average age of (63.8±9.4) years old,the average uric acid level of (418.9±120.6) mmol/L,and the HUA detection rate of 44.4%.The HUA group had higher proportions of males,current drinking,current smoking,diabetes,and using antihypertensive drugs,older age,higher diastolic blood pressure,WC,BMI,homocysteine,total cholesterol,TG,low-density lipoprotein cholesterol,blood urea nitrogen,creatinine,aspartate aminotransferase,alanine aminotransferase,total protein,albumin,total bilirubin,direct bilirubin, METS-IR, TyG, TyG-BMI, TyG-WC, VAI, TG/HDL-C, and LAP, and lower systolic blood pressure and HDL-C than the normal uric acid group (all P<0.05).Multivariate Logistic regression showed that METS-IR (OR=1.049,95%CI=1.038-1.060, P<0.001), TyG (OR=1.639,95%CI=1.496-1.797, P<0.001), TyG-BMI (OR=1.008,95%CI=1.006-1.010, P<0.001), TyG-WC (OR=1.003,95%CI=1.002-1.004, P<0.001), lnVAI (OR=1.850, 95%CI=1.735-1.973, P<0.001), ln(TG/HDL-C) (OR=1.862,95%CI=1.692-2.048, P<0.001),and lnLAP (OR=1.503,95%CI=1.401-1.613,P<0.001) were associated with the risk of HUA.Curve fitting indicated that METS-IR,TyG,TYG-BMI,TYG-WC,lnVAI,ln(TG/HDL-C),and lnLAP were positively correlated with HUA (all P<0.001),and the AUC of TyG index was higher than that of other IR indexes (all P<0.05). Conclusion Increased IR indexes,especially TyG,were associated with the risk of HUA among people with hypertension.
		                        		
		                        		
		                        		
		                        			Male
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Aged
		                        			;
		                        		
		                        			Insulin Resistance
		                        			;
		                        		
		                        			Hyperuricemia
		                        			;
		                        		
		                        			Uric Acid
		                        			;
		                        		
		                        			Hypertension/complications*
		                        			;
		                        		
		                        			Glucose
		                        			;
		                        		
		                        			Obesity, Abdominal/epidemiology*
		                        			;
		                        		
		                        			Triglycerides
		                        			;
		                        		
		                        			Bilirubin
		                        			;
		                        		
		                        			Cholesterol
		                        			;
		                        		
		                        			Blood Glucose/metabolism*
		                        			
		                        		
		                        	
9.Mining and identification of members of MYB transcription factor family in Lonicera macranthoides.
Juan ZENG ; Yu-Qing LONG ; Xue-Sen FU ; Ling WANG ; Zi-Xuan LIU ; Ri-Bao ZHOU ; Xiang-Dan LIU
China Journal of Chinese Materia Medica 2023;48(8):2103-2115
		                        		
		                        			
		                        			As a large family of transcription factors, the MYB family plays a vital role in regulating flower development. We studied the MYB family members in Lonicera macranthoides for the first time and identified three sequences of 1R-MYB, 47 sequences of R2R3-MYB, two sequences of 3R-MYB, and one sequence of 4R-MYB from the transcriptome data. Further, their physicochemical properties, conserved domains, phylogenetic relationship, protein structure, functional information, and expression were analyzed. The results show that the 53 MYB transcription factors had different conserved motifs, physicochemical properties, structures, and functions in wild type and 'Xianglei' cultivar of L. macranthoides, indicating their conservation and diversity in evolution. The transcript level of LmMYB was significantly different between the wild type and 'Xianglei' cultivar as well as between flowers and leaves, and some genes were specifically expressed. Forty-three out of 53 LmMYB sequences were expressed in both flowers and leaves, and 9 of the LmMYB members showed significantly different transcript levels between the wild type and 'Xianglei' cultivar, which were up-regulated in the wild type. The results provide a theoretical basis for further studying the specific functional mechanism of the MYB family.
		                        		
		                        		
		                        		
		                        			Transcription Factors/metabolism*
		                        			;
		                        		
		                        			Lonicera/metabolism*
		                        			;
		                        		
		                        			Phylogeny
		                        			;
		                        		
		                        			Plant Proteins/metabolism*
		                        			;
		                        		
		                        			Gene Expression Regulation, Plant
		                        			
		                        		
		                        	
10.Mechanism of Marsdenia tenacissima against ovarian cancer based on network pharmacology and experimental verification.
Yu-Jie HU ; Lan-Yi WEI ; Juan ZHAO ; Qin-Fang ZHU ; Zhao-Yang MENG ; Jing-Jing MENG ; Jun-Jun CHEN ; Ling-Yan XU ; Yang-Yun ZHOU ; Yong-Long HAN
China Journal of Chinese Materia Medica 2023;48(8):2222-2232
		                        		
		                        			
		                        			The present study aimed to explore the main active components and underlying mechanisms of Marsdenia tenacissima in the treatment of ovarian cancer(OC) through network pharmacology, molecular docking, and in vitro cell experiments. The active components of M. tenacissima were obtained from the literature search, and their potential targets were obtained from SwissTargetPrediction. The OC-related targets were retrieved from Therapeutic Target Database(TTD), Online Mendelian Inheritance in Man(OMIM), GeneCards, and PharmGKB. The common targets of the drug and the disease were screened out by Venn diagram. Cytoscape was used to construct an "active component-target-disease" network, and the core components were screened out according to the node degree. The protein-protein interaction(PPI) network of the common targets was constructed by STRING and Cytoscape, and the core targets were screened out according to the node degree. GO and KEGG enrichment analyses of potential therapeutic targets were carried out with DAVID database. Molecular docking was used to determine the binding activity of some active components to key targets by AutoDock. Finally, the anti-OC activity of M. tenacissima extract was verified based on SKOV3 cells in vitro. The PI3K/AKT signaling pathway was selected for in vitro experimental verification according to the results of GO function and KEGG pathway analyses. Network pharmacology results showed that 39 active components, such as kaempferol, 11α-O-benzoyl-12β-O-acetyltenacigenin B, and drevogenin Q, were screened out, involving 25 core targets such as AKT1, VEGFA, and EGFR, and the PI3K-AKT signaling pathway was the main pathway of target protein enrichment. The results of molecular docking also showed that the top ten core components showed good binding affinity to the top ten core targets. The results of in vitro experiments showed that M. tenacissima extract could significantly inhibit the proliferation of OC cells, induce apoptosis of OC cells through the mitochondrial pathway, and down-regulate the expression of proteins related to the PI3K/AKT signaling pathway. This study shows that M. tenacissima has the characteristics of multi-component, multi-target, and multi-pathway synergistic effect in the treatment of OC, which provides a theoretical basis for in-depth research on the material basis, mechanism, and clinical application.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Marsdenia
		                        			;
		                        		
		                        			Molecular Docking Simulation
		                        			;
		                        		
		                        			Network Pharmacology
		                        			;
		                        		
		                        			Phosphatidylinositol 3-Kinases
		                        			;
		                        		
		                        			Proto-Oncogene Proteins c-akt
		                        			;
		                        		
		                        			Ovarian Neoplasms/genetics*
		                        			;
		                        		
		                        			Databases, Genetic
		                        			;
		                        		
		                        			Plant Extracts
		                        			;
		                        		
		                        			Drugs, Chinese Herbal/pharmacology*
		                        			
		                        		
		                        	
            
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