1.Effect of Cangfu Daotan Decoction on Ovarian Proteomics of Obese Polycystic Ovary Syndrome Model Rats
Hong-Ling GENG ; Yu-Yan ZENG ; Ran LIU ; Meng-Yu YAN ; Xiao-Xia HU ; Yi CHEN
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(9):2418-2426
		                        		
		                        			
		                        			Objective To analyze the therapeutic effect and mechanism of Cangfu Daotan Decoction on obese polycystic ovary syndrome(PCOS)rats.Methods Fifteen female SD rats were randomly divided into normal group,model group and Chinese medicine group,with five rats in each group.In addition to the normal group,the remaining rats were treated with Letrozole Solution by gavage combined with high-fat diet to construct an obese PCOS model.After successful modeling,the rats in the Chinese medicine group were given Cangfu Daotan Decoction by gavage for 30 days.At the end of administration,the ovarian protein expression of rats in each group was detected by non-standard proteomics quantitative technique,and the results of differential protein function,gene ontology(GO)enrichment,Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment and differential protein KEGG pathway clustering were compared.Results The functions of differential proteins between the model group and the normal group were mainly concentrated in lipid transport,metabolism and post-translational modification,and protein transcription,and the cluster analysis results of KEGG pathway enrichment and pathway enrichment were mainly concentrated in the degradation of valine,leucine and isoleucine,arginine and proline metabolism,tryptophan metabolism pathway enrichment and renin angiotensin system.The functions of differential proteins between the Chinese medicine group and the model group were concentrated in information storage and processing,especially in transformation,ribosomal structure and signal transduction mechanism,and the cluster analysis results of KEGG pathway enrichment and pathway enrichment were mainly concentrated in ribosome metabolism,drug metabolism-cytochrome P450,methyl butyrate metabolism,and vitamin B6 metabolism.The functional classification of differential proteins between Chinese medicine group and normal group was mainly in signal transduction mechanism,lipid transport and metabolism,and the clustering analysis results of KEGG pathway enrichment and pathway enrichment were mainly concentrated in ribosome,protein digestion and absorption,steroid hormone biosynthesis pathway,cell adhesion molecule,glycerol lipid metabolism and gastric acid secretion.Conclusion Cangfu Daotan Decoction may play a role in the treatment of obese PCOS by regulating branched-chain amino acid metabolism,renin-angiotensin-aldosterone system and steroid hormone synthesis pathway.
		                        		
		                        		
		                        		
		                        	
2.Development and Analysis of Standards for Drugs Under Special Management
Kuikui GENG ; Ling JIANG ; Jiancun ZHEN ; Tianlu SHI ; Wei ZHANG ; Jin LU ; Jianqing WANG ; Xiaoyang LU ; Qianzhou LYU ; Zhiqing ZHANG ; Ying CHEN ; Hong XIA ; Qin GUANG ; Hongpeng BI
Herald of Medicine 2024;43(8):1217-1221
		                        		
		                        			
		                        			Drugs under special management include narcotic drugs,psychotropic drugs,toxic drugs for medical use,radiopharmaceuticals,and pharmaceutical precursor chemicals.Supervising and guiding the clinical use of drugs under special management is one of the important responsibilities of the Pharmaceutical Management and Drug Therapy Committee(Group)of medical institutions.The standard for drugs under special management is led by the Pharmaceutical Professional Committee of the China Hospital Association,which standardizes 16 key elements of organizational management,process management,and quality control management drugs under special management in medical institutions.It can guide the standardized implementation of Pharmaceuticals under special control work in various levels and types of medical institutions.This article elaborates on the methods and contents of formulating standards for Pharmaceuticals under special management,to provide reference and inspiration for medical institutions to carry out special drug drug management and daily related work.
		                        		
		                        		
		                        		
		                        	
3.Forecasting the burden of disease from diabetes under the scenarios of specific risk factors control in China in 2030.
Yan Hong FU ; Ting Ling XU ; Zhen Zhen RAO ; Jiang Mei LIU ; Ruo Tong LI ; Min LIU ; Shi Cheng YU ; Mai Geng ZHOU ; Wen Lan DONG ; Guo Qing HU
Chinese Journal of Epidemiology 2023;44(4):581-586
		                        		
		                        			
		                        			Objective: To forecast mortality, age-standardized mortality, and probability of premature mortality from diabetes, and to simulate the impact of controlling risk factors by 2030 in China. Methods: We simulated the burden of disease from diabetes in six scenarios according to the development goals of risk factors control by the WHO and Chinese government. Based on the theory of comparative risk assessment and the estimates of the burden of disease for China from the Global Burden of Disease Study 2015, we used the proportional change model to project the number of deaths, age-standardized mortality, and probability of premature mortality from diabetes under different scenarios of risk factors control in 2030. Results: If the trends in exposures to risk factors from 1990 to 2015 continued. Mortality, age-standardized mortality, and probability of premature mortality from diabetes would increase to 32.57/100 000, 17.32/100 000, and 0.84% by 2030, respectively. During that time, mortality, age-standardized mortality and probability of premature mortality for males would all be higher than for females. If the goals of controlling risk factors were all achieved, the number of deaths from diabetes in 2030 would decrease by 62.10% compared to the predicted numbers based on the historical trends in exposure to risk factors, and the probability of premature mortality would drop to 0.29%. If only the exposure to a single risk factor were achieved by 2030, high fasting plasma glucose control would have the greatest impact on diabetes, resulting in a 56.00% reduction in deaths compared to the predicted numbers based on the historical trends, followed by high BMI (4.92%), smoking (0.65%), and low physical activity (0.53%). Conclusions: Risk factors control plays an important role in reducing the number of deaths, age-standardized mortality rate, and probability of premature mortality from diabetes. We suggest taking comprehensive measures to control relevant risk factors for certain populations and regions, to achieve the goal of reducing the burden of disease from diabetes as expected.
		                        		
		                        		
		                        		
		                        			Male
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Risk Factors
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		                        			Diabetes Mellitus/epidemiology*
		                        			;
		                        		
		                        			Mortality, Premature
		                        			;
		                        		
		                        			Smoking
		                        			;
		                        		
		                        			Cost of Illness
		                        			;
		                        		
		                        			China/epidemiology*
		                        			;
		                        		
		                        			Global Burden of Disease
		                        			
		                        		
		                        	
4.BRICS report of 2021: The distribution and antimicrobial resistance profile of clinical bacterial isolates from blood stream infections in China
Yunbo CHEN ; Jinru JI ; Zhiying LIU ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Jiliang WANG ; Hui DING ; Haifeng MAO ; Yizheng ZHOU ; Yan JIN ; Yongyun LIU ; Yan GENG ; Yuanyuan DAI ; Hong LU ; Peng ZHANG ; Ying HUANG ; Donghong HUANG ; Xinhua QIANG ; Jilu SHEN ; Hongyun XU ; Fenghong CHEN ; Guolin LIAO ; Dan LIU ; Haixin DONG ; Jiangqin SONG ; Lu WANG ; Junmin CAO ; Lixia ZHANG ; Yanhong LI ; Dijing SONG ; Zhuo LI ; Youdong YIN ; Donghua LIU ; Liang GUO ; Qiang LIU ; Baohua ZHANG ; Rong XU ; Yinqiao DONG ; Shuyan HU ; Kunpeng LIANG ; Bo QUAN ; Lin ZHENG ; Ling MENG ; Liang LUAN ; Jinhua LIANG ; Weiping LIU ; Xuefei HU ; Pengpeng TIAN ; Xiaoping YAN ; Aiyun LI ; Jian LI ; Xiusan XIA ; Xiaoyan QI ; Dengyan QIAO ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2023;16(1):33-47
		                        		
		                        			
		                        			Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical bacterial isolates from bloodstream infections in China in 2021.Methods:The clinical bacterial strains isolated from blood culture from member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS) were collected during January 2021 to December 2021. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical Laboratory Standards Institute (CLSI). WHONET 5.6 was used to analyze data.Results:During the study period, 11 013 bacterial strains were collected from 51 hospitals, of which 2 782 (25.3%) were Gram-positive bacteria and 8 231 (74.7%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (37.6%), Klebsiella pneumoniae (18.9%), Staphylococcus aureus (9.8%), coagulase-negative Staphylococci (6.3%), Pseudomonas aeruginosa (3.6%), Enterococcus faecium (3.6%), Acinetobacter baumannii (2.8%), Enterococcus faecalis (2.7%), Enterobacter cloacae (2.5%) and Klebsiella spp (2.1%). The prevalence of methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus aureus were 25.3% and 76.8%, respectively. No glycopeptide- and daptomycin-resistant Staphylococci was detected; more than 95.0% of Staphylococcus aureus were sensitive to ceftobiprole. No vancomycin-resistant Enterococci strains were detected. The rates of extended spectrum B-lactamase (ESBL)-producing isolated in Escherichia coli, Klebsiella pneumoniae and Proteus mirabilis were 49.6%, 25.5% and 39.0%, respectively. The prevalence rates of carbapenem-resistance in Escherichia coli and Klebsiella pneumoniae were 2.2% and 15.8%, respectively; 7.9% of carbapenem-resistant Klebsiella pneumoniae was resistant to ceftazidime/avibactam combination. Ceftobiprole demonstrated excellent activity against non-ESBL-producing Escherichia coli and Klebsiella pneumoniae. Aztreonam/avibactam was highly active against carbapenem-resistant Escherichia coli and Klebsiella pneumoniae. The prevalence rate of carbapenem-resistance in Acinetobacter baumannii was 60.0%, while polymyxin and tigecycline showed good activity against Acinetobacter baumannii (5.5% and 4.5%). The prevalence of carbapenem-resistance in Pseudomonas aeruginosa was 18.9%. Conclusions:The BRICS surveillance results in 2021 shows that the main pathogens of blood stream infection in China are gram-negative bacteria, in which Escherichia coli is the most common. The MRSA incidence shows a further decreasing trend in China and the overall prevalence of vancomycin-resistant Enterococci is low. The prevalence of Carbapenem-resistant Klebsiella pneumoniae is still on a high level, but the trend is downwards.
		                        		
		                        		
		                        		
		                        	
5.Xuebijing Injection Ameliorates H
Ping GENG ; Bing-Yu LING ; Hong-Liang ZHANG ; Jia-Li XIONG ; Ying WANG ; Fen YU ; Ding-Yu TAN ; Ji-Yang XU ; Hui-Hui WANG
Chinese journal of integrative medicine 2022;28(2):116-123
		                        		
		                        			OBJECTIVE:
		                        			To investigate the protective effects and underlying mechanisms of Xuebijing Injection (XBJ) on the lung endothelial barrier in hydrogen sulfide (H
		                        		
		                        			METHODS:
		                        			Sprague-Dawley rats were exposed to H
		                        		
		                        			RESULTS:
		                        			The morphological investigation showed that XBJ attenuated H
		                        		
		                        			CONCLUSIONS
		                        			XBJ ameliorated H
		                        		
		                        		
		                        		
		                        			Animals
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		                        			Claudin-5
		                        			;
		                        		
		                        			Drugs, Chinese Herbal
		                        			;
		                        		
		                        			Endothelial Cells
		                        			;
		                        		
		                        			Hydrogen Sulfide
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		                        			Phosphatidylinositol 3-Kinases
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		                        			Rats
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		                        			Rats, Sprague-Dawley
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		                        			Respiratory Distress Syndrome/drug therapy*
		                        			
		                        		
		                        	
6.Prediction on the cardio-cerebrovascular death and probability of premature death caused by common risk factors in China in 2030.
Zhen Zhen RAO ; Yan Hong FU ; Ruo Tong LI ; Ting Ling XU ; Jiang Mei LIU ; Wen Lan DONG ; Shi Cheng YU ; Guo Qing HU ; Mai Geng ZHOU
Chinese Journal of Preventive Medicine 2022;56(5):567-573
		                        		
		                        			
		                        			Objective: Predictive models were used to evaluate the impact of common risk factors on the number of cardio-cerebrovascular deaths and the probability of premature death. Methods: Using the data for China estimated by the Global Burden of Disease study 2015 (GBD 2015), we calculated the population attribution fraction (PAF) of risk factors. The proportional change model was used to estimate the number of unattributable deaths by 2030, and to predict the number of deaths, mortality, standardized mortality and probability of premature death by 2030. Results: According to the natural change trend of risk factors from 1990 to 2015, the number of deaths and mortality would reach 6.12 million and 428.53/100 000 by 2030, with an increase of 59.92% and 52.87%. By 2030, the probability of premature death from cardio-cerebrovascular diseases among Chinese aged 30-70 years old would continue to decline, from 11.43% to 11.28% for men, and from 5.79% to 4.43% for women. If the goals of all included risk factors were reached by 2030, 2 289 200 cardio-cerebrovascular deaths would be avoided. If only the exposure to a single risk factor was achieved by 2030, blood pressure, total cholesterol, and fine particulate matter exposure were the three most important factors affecting cardio-cerebrovascular deaths, which would reduce 1 332 800, 609 100 and 306 800 deaths, respectively. Among the involved risk factors, the control of blood pressure would mostly decrease the number of deaths due to ischemic heart disease and hemorrhagic stroke, about 677 300 and 391 100 deaths, accordingly. Conclusion: The control of risk factors is of great significance in reducing deaths and probability of premature death due to cardio-cerebrovascular diseases. If the control targets of all risk factors could be achieved by 2030, the burden of cardio-cerebrovascular diseases would be reduced greatly.
		                        		
		                        		
		                        		
		                        			Adult
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		                        			Aged
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		                        			Blood Pressure
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		                        			Cerebrovascular Disorders/epidemiology*
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		                        			China/epidemiology*
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		                        			Female
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		                        			Humans
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		                        			Male
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		                        			Middle Aged
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		                        			Mortality, Premature
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		                        			Risk Factors
		                        			
		                        		
		                        	
7.Prediction of disease burden caused by malignant cancer in the context of risk factor control in China, 2030.
Yan Hong FU ; Zhen Zhen RAO ; Ruo Tong LI ; Ting Ling XU ; Jiang Mei LIU ; Wen Lan DONG ; Mai Geng ZHOU ; Shi Cheng YU ; Guo Qing HU
Chinese Journal of Epidemiology 2022;43(1):37-43
		                        		
		                        			
		                        			Objective: To predict the number of deaths, standardized mortality and probability of premature mortality caused by malignant cancer in the context of risk factor control at different levels in China in 2030, and assess the possibility of achieving the target of reducing the probability of premature mortality of malignant cancer. Methods: According to the risk factor control standard for malignant cancer used both at home and abroad, the results of China from Global Burden of Disease Study 2015 were used to calculate the population attributable fraction of the risk factors. Based on the comparative risk assessment theory, the deaths of malignant cancer were classified as attributable deaths and un-attributable deaths. Proportional change model was used to predict risk factor exposure and un-attributable deaths of malignant cancer in the future, then the number of deaths, standardized mortality rate and probability of premature mortality of malignant cancer in 2030 was estimated. Data analyses were performed by using software R 3.6.1. Results: If the risk factor exposure level during 1990-2015 remains, the number of deaths, standardized mortality rate, and probability of premature mortality of malignant cancer would increase to 3.62 million, 153.96/100 000 and 8.92% by 2030, respectively. If the risk factor exposure control level meets the requirement, the probability of premature mortality from cancer in people aged 30-70 years would drop to 7.57% by 2030. Conclusions: The control of risk factor exposure will play an important role in reducing deaths, standardized mortality rate and probability of premature mortality of malignant cancer. But more efforts are needed to achieve the goals of Health China Action.
		                        		
		                        		
		                        		
		                        			Adult
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		                        			Aged
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		                        			China/epidemiology*
		                        			;
		                        		
		                        			Cost of Illness
		                        			;
		                        		
		                        			Humans
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		                        			Middle Aged
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		                        			Mortality, Premature
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		                        			Neoplasms/epidemiology*
		                        			;
		                        		
		                        			Risk Factors
		                        			
		                        		
		                        	
8.Prediction on the burden of disease of chronic obstructive pulmonary disease and simulation of the effectiveness of controlling risk factors in China by 2030.
Ruo Tong LI ; Zhen Zhen RAO ; Yan Hong FU ; Ting Ling XU ; Jiang Mei LIU ; Shi Cheng YU ; Mai Geng ZHOU ; Wen Lan DONG ; Guo Qing HU
Chinese Journal of Epidemiology 2022;43(2):201-206
		                        		
		                        			
		                        			Objective: To forecast the burden of chronic obstructive pulmonary disease (COPD) in China by 2030 and evaluate the effectiveness of controlling risk factors based on the predictive model. Methods: Based on the relationship between the death of COPD and exposure to risk factors and the theory of comparative risk assessment, we used the estimates of the Global Burden of Disease Study 2015 (GBD2015) for China, targets for controlling risk factors, and proportion change model to project the number of deaths, standardized mortality rate, and probability of premature mortality from chronic respiratory diseases by 2030 in different scenarios and to evaluate the impact of controlling the included risk factors to the disease burden of COPD in 2030. Results: If the trends in exposure to risk factors from 1990 to 2015 continued, the number of deaths and the mortality for COPD would be 1.06 million and 73.85 per 100 000 population in China by 2030, respectively, with an increase of 15.81% and 10.69% compared to those in 2015. Compared to 2015, the age-standardized mortality rate would decrease by 38.88%, and the premature mortality would reduce by 52.73% by 2030. If the smoking rate and fine particulate matter (PM2.5) concentration separately achieve their control targets by 2030, there would be 0.34 and 0.27 million deaths that could be avoided compared to the predicted numbers based on the natural trends in exposure to risk factors and the probability of premature death would reduce to 0.59% and 0.52%, respectively. If the control targets of all included risk factors were achieved by 2030, a total of 0.53 million deaths would be averted, and the probability of premature death would decrease to 0.44%. Conclusions: If the exposures to risk factors continued as showed from 1990 to 2015, the number of deaths and mortality for COPD would increase by 2030 compared to 2015, and the standardized mortality and the probability of premature death would decrease significantly, which would achieve the targets of preventing and controlling COPD. If the exposure to the included risk factors all achieved the targets by 2030, the burden of COPD would be reduced, suggesting that the control of tobacco use and air pollution should be enhanced to prevent and control COPD.
		                        		
		                        		
		                        		
		                        			Air Pollutants/analysis*
		                        			;
		                        		
		                        			Air Pollution/prevention & control*
		                        			;
		                        		
		                        			China/epidemiology*
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		                        			Cost of Illness
		                        			;
		                        		
		                        			Environmental Exposure
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Particulate Matter/analysis*
		                        			;
		                        		
		                        			Pulmonary Disease, Chronic Obstructive/prevention & control*
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		                        			Risk Factors
		                        			
		                        		
		                        	
9.BRICS report of 2020: The bacterial composition and antimicrobial resistance profile of clinical isolates from bloodstream infections in China
Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Yuanyuan DAI ; Jiliang WANG ; Haifeng MAO ; Hui DING ; Yongyun LIU ; Yizheng ZHOU ; Hong LU ; Youdong YIN ; Yan JIN ; Hongyun XU ; Lixia ZHANG ; Lu WANG ; Haixin DONG ; Zhenghai YANG ; Fenghong CHEN ; Donghong HUANG ; Guolin LIAO ; Pengpeng TIAN ; Dan LIU ; Yan GENG ; Sijin MAN ; Baohua ZHANG ; Ying HUANG ; Liang GUO ; Junmin CAO ; Beiqing GU ; Yanhong LI ; Hongxia HU ; Liang LUAN ; Shuyan HU ; Lin ZHENG ; Aiyun LI ; Rong XU ; Kunpeng LIANG ; Zhuo LI ; Donghua LIU ; Bo QUAN ; Qiang LIU ; Jilu SHEN ; Yiqun LIAO ; Hai CHEN ; Qingqing BAI ; Xiusan XIA ; Shifu WANG ; Jinhua LIANG ; Liping ZHANG ; Yinqiao DONG ; Xiaoyan QI ; Jianzhong WANG ; Xuefei HU ; Xiaoping YAN ; Dengyan QIAO ; Ling MENG ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2021;14(6):413-426
		                        		
		                        			
		                        			Objective:To investigate the bacterial composition and antimicrobial resistance profile of clinical isolates from bloodstream infections in China.Methods:The clinical bacterial strains isolated from blood culture were collected during January 2020 to December 2020 in member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS). Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical Laboratory Standards Institute(CLSI, USA). WHONET 5.6 was used to analyze data.Results:During the study period, 10 043 bacterial strains were collected from 54 hospitals, of which 2 664 (26.5%) were Gram-positive bacteria and 7 379 (73.5%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (38.6%), Klebsiella pneumoniae (18.4%), Staphylococcus aureus (9.9%), coagulase-negative Staphylococci (7.5%), Pseudomonas aeruginosa (3.9%), Enterococcus faecium (3.3%), Enterobacter cloacae (2.8%), Enterococcus faecalis (2.6%), Acinetobacter baumannii (2.4%) and Klebsiella spp (1.8%). The prevalence of methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus aureus were 27.6% and 74.4%, respectively. No glycopeptide- and daptomycin-resistant Staphylococci were detected. More than 95% of Staphylococcus aureus were sensitive to rifampicin and SMZco. No vancomycin-resistant Enterococci strains were detected. Extended spectrum β-lactamase (ESBL) producing Escherichia coli, Klebsiella pneumoniae and Proteus mirabilis were 48.4%, 23.6% and 36.1%, respectively. The prevalence rates of carbapenem-resistance in Escherichia coli and Klebsiella pneumoniae were 2.3% and 16.1%, respectively; 9.6% of carbapenem-resistant Klebsiella pneumoniae strains were resistant to ceftazidime/avibactam combination. The prevalence rate of carbapenem-resistance in Acinetobacter baumannii was 60.0%, while polymyxin and tigecycline showed good activity against Acinetobacter baumannii. The prevalence rate of carbapenem-resistance of Pseudomonas aeruginosa was 23.2%. Conclusions:The surveillance results in 2020 showed that the main pathogens of bloodstream infection in China were gram-negative bacteria, while Escherichia coli was the most common pathogen, and ESBL-producing strains declined while carbapenem-resistant Klebsiella pneumoniae kept on high level. The proportion and the prevalence of carbapenem-resistant Pseudomonas aeruginosa were on the rise slowly. On the other side, the MRSA incidence got lower in China, while the overall prevalence of vancomycin-resistant Enterococci was low.
		                        		
		                        		
		                        		
		                        	
10. Effects of Angelica Sinensis polysaccharide on proliferation in vitro and transplantation of human leukemia stem cells in vivo
Fang-Fang DENG ; Shan GENG ; Rong JIANG ; Zi-Ling WANG ; Han-Xian-Zhi XIAO ; Rong-Jia QI ; Cai-Hong HUANG ; Di ZENG ; Geng LI ; Lu WANG ; Ya-Ping WANG
Acta Anatomica Sinica 2021;52(1):41-48
		                        		
		                        			
		                        			 Objective To investigate the effect of Angelica Sinensis polysaccharide (ASP) on proliferation, differentiation and transplantation of human leukemia stem cells (LSCs) . Methods 1. Effect of angelica sinensis polysaccharides on proliferation of CD34 
		                        		
		                        		
		                        		
		                        	
            
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