1.Effect of different phosphorus application on morphological traits, active ingredients and rhizosphere soil microbial community of Polygala tenuifolia.
Huan GUO ; Tong WEI ; Wen-Hua CUI ; Huan SHI ; Fu-Ying MAO ; Xian GU ; Yun-Sheng ZHAO ; Xiao-Feng LIANG
China Journal of Chinese Materia Medica 2025;50(14):3898-3908
To investigate the effects of phosphorus fertilizer on the morphological traits, active ingredients and rhizosphere soil microbial community of Polygala tenuifolia. The phosphorus fertilizer was calculated in terms of P_2O_5. Five treatments were set up: 0(CK), 17(P1), 34(P2), 51(P3), and 68(P4) kg per Mu(1 Mu≈667 m~2). A randomized block design was adopted. Samples of P. tenuifolia and its rhizosphere soil were collected under different superphosphate fertilizer treatments. Illumina high-throughput sequencing was used to analyze the rhizosphere soil microbial community, 9 morphological traits were measured and the content of 11 active ingredients were determined. The results showed that the whole plant weight, shoot fresh weight, root weight, and root peel thickness were the highest under P1 treatment, increasing by 34.41%, 38.80%, 39.21%, and 3.17% respectively compared to CK. Under P2 treatment, the plant height, stem diameter, root thickness, and core thickness were significantly higher than CK. Phosphorus fertilizer had a significant impact on the content of tenuifolin, sibiricose A5, sibiricose A6, arillanin A, 3,6'-disinapoyl sucrose, and polygalaxanthone Ⅲ. Correlation analysis results showed that the relative abundance of Arthrobacter, Bacillus, norank_f_Vicinamibacteraceae, norank_o_Vicinamibacterales, MND1 and other bacteria, as well as the relative abundance of Neocosmospora, Paraphoma and other fungi were positively correlated with root diameter, wood core diameter, the whole plant weight, root weight, shoot fresh weight of P. tenuifolia. Bacillus, Neocosmospora, Subulicystidium were significantly positively correlated with oligosaccharides such as 3,6'-disinapoyl sucrose, sibiricose A5、sibiricose A6、glomeratose A、arillanin A and tenuifoliside C. Arthrobacter, Humicola, Aspergillus, Paraphoma were positively correlated with tenuifolin and norank_f_Vicinamibacteraceae, norank_o_Vicinamibacterales, Fusarium were positively correlated with polygalaxanthone Ⅲ. Evidently, appropriate phosphorus application is conducive to the growth and quality improvement of P. tenuifolia, and can increase the abundance of beneficial microorganisms in the soil.
Rhizosphere
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Phosphorus/pharmacology*
;
Soil Microbiology
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Polygala/anatomy & histology*
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Fertilizers/analysis*
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Bacteria/metabolism*
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Soil/chemistry*
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Microbiota/drug effects*
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Plant Roots/metabolism*
2.Research progress in machine learning in processing and quality evaluation of traditional Chinese medicine decoction pieces.
Han-Wen ZHANG ; Yue-E LI ; Jia-Wei YU ; Qiang GUO ; Ming-Xuan LI ; Yu LI ; Xi MEI ; Lin LI ; Lian-Lin SU ; Chun-Qin MAO ; De JI ; Tu-Lin LU
China Journal of Chinese Materia Medica 2025;50(13):3605-3614
Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning
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Drugs, Chinese Herbal/standards*
;
Quality Control
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Medicine, Chinese Traditional/standards*
;
Humans
3.Hepatitis C virus infection:surveillance report from China Healthcare-as-sociated Infection Surveillance System in 2020
Xi-Mao WEN ; Nan REN ; Fu-Qin LI ; Rong ZHAN ; Xu FANG ; Qing-Lan MENG ; Huai YANG ; Wei-Guang LI ; Ding LIU ; Feng-Ling GUO ; Shu-Ming XIANYU ; Xiao-Quan LAI ; Chong-Jie PANG ; Xun HUANG ; An-Hua WU
Chinese Journal of Infection Control 2024;23(1):1-8
Objective To investigate the infection status and changing trend of hepatitis C virus(HCV)infection in hospitalized patients in medical institutions,and provide reference for formulating HCV infection prevention and control strategies.Methods HCV infection surveillance results from cross-sectional survey data reported to China Healthcare-associated Infection(HAI)Surveillance System in 2020 were summarized and analyzed,HCV positive was serum anti-HCV positive or HCV RNA positive,survey result was compared with the survey results from 2003.Results In 2020,1 071 368 inpatients in 1 573 hospitals were surveyed,738 535 of whom underwent HCV test,4 014 patients were infected with HCV,with a detection rate of 68.93%and a HCV positive rate of 0.54%.The positive rate of HCV in male and female patients were 0.60%and 0.48%,respectively,with a statistically sig-nificant difference(x2=47.18,P<0.001).The HCV positive rate in the 50-<60 age group was the highest(0.76%),followed by the 40-<50 age group(0.71%).Difference among all age groups was statistically signifi-cant(x2=696.74,P<0.001).In 2003,91 113 inpatients were surveyed.35 145 of whom underwent HCV test,resulting in a detection rate of 38.57%;775 patients were infected with HCV,with a positive rate of 2.21%.In 2020,HCV positive rates in hospitals of different scales were 0.46%-0.63%,with the highest in hospital with bed numbers ranging 600-899.Patients'HCV positive rates in hospitals of different scales was statistically signifi-cant(X2=35.34,P<0.001).In 2020,12 provinces/municipalities had over 10 000 patients underwent HCV-rela-ted test,and HCV positive rates ranged 0.19%-0.81%,with the highest rate from Hainan Province.HCV posi-tive rates in different departments were 0.06%-0.82%,with the lowest positive rate in the department of pedia-trics and the highest in the department of internal medicine.In 2003 and 2020,HCV positive rates in the depart-ment of infectious diseases were the highest,being 7.95%and 3.48%,respectively.Followed by departments of orthopedics(7.72%),gastroenterology(3.77%),nephrology(3.57%)and general intensive care unit(ICU,3.10%)in 2003,as well as departments of gastroenterology(1.35%),nephrology(1.18%),endocrinology(0.91%),and general intensive care unit(ICU,0.79%)in 2020.Conclusion Compared with 2003,HCV positive rate decreased significantly in 2020.HCV infected patients were mainly from the department of infectious diseases,followed by departments of gastroenterology,nephrology and general ICU.HCV infection positive rate varies with gender,age,and region.
4.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
5.The occurrence and influencing factors of vascular calcification in non-dialysis chronic kidney disease patients of stage 3-5
Miaorong XUE ; Wenjiao ZHU ; Zhiman LAI ; Shaozhen FENG ; Yan WANG ; Jianbo LI ; Jianwen YU ; Xi XIA ; Qiong WEN ; Xin WANG ; Xiao YANG ; Haiping MAO ; Xionghui CHEN ; Zhijian LI ; Fengxian HUANG ; Wei CHEN ; Shurong LI ; Qunying GUO
Chinese Journal of Nephrology 2024;40(6):431-441
Objective:To explore the prevalence and independent associated factors of vascular calcification (VC) in non-dialysis chronic kidney disease (CKD) patients of stage 3-5.Methods:It was a single-center cross-sectional observational study. Non-dialysis stage 3-5 CKD patients ≥18 years old who were admitted to the Department of Nephrology, the First Affiliated Hospital of Sun Yat-sen University from May 1, 2022 to December 31, 2022 with VC evaluation were enrolled. The patients' general information, laboratory examination and imaging data were collected. Coronary artery calcification (CAC), thoracic aorta calcification (TAC), abdominal aorta calcification (AAC), carotid artery calcification and aortic valve calcification (AVC) were evaluated by cardiac-gated electron-beam CT (EBCT) scans, lateral lumbar x-ray, cervical macrovascular ultrasound and echocardiography, respectively. The differences in clinical data and the prevalence of VC at different sites of patients with different CKD stages were compared, and the prevalence of VC at different sites of patients in different age groups [youth group (18-44 years old), middle-aged group (45-64 years old) and elderly group (≥65 years old)] and patients with or without diabetes were compared. Multivariate logistic regression analysis was used to analyse the independent associated factors of VC for different areas.Results:A total of 206 patients aged (51±14) years were included, including 129 (62.6%) males. There were 44 patients with CKD stage 3 (21.4%), 51 patients with CKD stage 4 (24.8%), and 111 patients with CKD stage 5 (53.9%). CKD was caused by chronic glomerulonephritis [104 cases (50.5%)], diabetic kidney damage [35 cases (17.0%)], hypertensive kidney damage [29 cases (14.1%)] and others [38 cases (18.4%)]. Among 206 patients, 131 (63.6%) exhibited cardiovascular calcification, and the prevalence of CAC, TAC, AAC, carotid artery calcification, and AVC was 37.9%, 43.7%, 37.9%, 35.9% and 9.7%, respectively. The overall prevalence of VC in young, middle-aged and elderly patients was 24.6%, 73.6% and 97.4%, respectively. With the increase of age, the prevalence of VC in each site gradually increased, and the increasing trend was statistically significant (all P<0.001). The overall prevalence of VC in CKD patients with diabetes was 92.5% (62/67), and the prevalence of VC at each site in the patients with diabetes was significantly higher than that in the patients without diabetes (all P<0.001). Multivariate logistic regression analysis revealed that age (every 10 years increase, OR=2.51, 95% CI 1.77-3.56, P<0.001), hypertension ( OR=5.88, 95% CI 1.57-22.10, P=0.009), and diabetes ( OR=4.66, 95% CI 2.10-10.35, P<0.001) were independently correlated with CAC; Age (every 10 years increase, OR=6.43, 95% CI 3.64-11.36, P<0.001) and hypertension ( OR=6.09, 95% CI 1.33-27.84, P=0.020) were independently correlated with TAC; Female ( OR=0.23, 95% CI 0.07-0.72, P=0.011), age (every 10 years increase, OR=3.90, 95% CI 2.42-6.29, P<0.001), diabetes ( OR=5.37, 95% CI 2.19-13.19, P<0.001) and serum magnesium ( OR=0.01,95% CI 0-0.35, P=0.014) were independently correlated with AAC. Moreover, age and diabetes were independently correlated with carotid artery calcification, AVC and overall VC Conclusions:The prevalence of VC in non-dialysis CKD patients of stage 3-5 is 63.59%, of which CAC reaches 37.9%, TAC is the most common one (43.7%), while AVC is the least one (9.7%). Age and diabetes are the independent associated factors for VC of all sites except TAC, while hypertension is an independent associated factor for both CAC and TAC.
6.Outcomes in randomized controlled trials of traditional Chinese medicine in treatment of diabetic kidney disease.
Yi-Jia JIANG ; Mao-Ying WEI ; Wen-Hua ZHANG ; Dan YIN ; Yi-Ting TANG ; Wei-Yu JIA ; Jing-Yi GUO ; Ai-Jing LI ; Yan-Bing GONG
China Journal of Chinese Materia Medica 2024;49(24):6813-6824
This study systematically analyzed the current status of outcomes in randomized controlled trial(RCT) of traditional Chinese medicine(TCM) treatment of diabetic kidney disease(DKD), aiming to provide a reference for constructing the core outcome set(COS) of TCM treatment of DKD. The clinical RCTs of TCM treatment of DKD that were published from January 2019 to March 2024 were retrieved from seven databases: CNKI, Wanfang, VIP, SinoMed, PubMed, Cochrane Library, and Web of Science. The risk of bias was assessed and outcome indicators were qualitatively analyzed. A total of 323 RCTs were included, reporting 199 outcome indicators with the frequency of 3 744 in seven indicator domains: TCM syndromes(196 times, 5.24%), symptoms and signs(275 times, 7.35%), physical and chemical examinations(2 820 times, 75.32%), safety events(422 times, 11.27%), long-term prognosis(21 times, 0.56%), quality of life(9 times, 0.24%), and economic evaluation(1 time, 0.02%). The three most frequently applied outcome indicators were total clinical response rate(268 times, 82.97%), serum creatinine(251 times, 77.71%), and urea nitrogen(206 times, 63.78%). The outcomes in the studies of TCM treatment of DKD had the limitations of high risk of bias, lack of standardization of TCM syndromes and efficacy evaluation, neglect of endpoint indicators, large differences in endpoint indicators and time points of measurement, unclear primary and secondary outcomes, few application of long-term prognosis, quality of life, and economic indicators, and insufficient reporting of safety events. In the future, efforts should be made to actively promote the construction of COS in the studies about the TCM treatment of DKD and enhance the quality of the clinical studies.
Humans
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Randomized Controlled Trials as Topic
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Diabetic Nephropathies/drug therapy*
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Drugs, Chinese Herbal/therapeutic use*
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Treatment Outcome
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Medicine, Chinese Traditional
;
Quality of Life
7.β-Glucan-modified nanoparticles with different particle sizes exhibit different lymphatic targeting efficiencies and adjuvant effects.
Wen GUO ; Xinyue ZHANG ; Long WAN ; Zhiqi WANG ; Meiqi HAN ; Ziwei YAN ; Jia LI ; Ruizhu DENG ; Shenglong LI ; Yuling MAO ; Siling WANG
Journal of Pharmaceutical Analysis 2024;14(12):100953-100953
Particle size and surface properties are crucial for lymphatic drainage (LN), dendritic cell (DC) uptake, DC maturation, and antigen cross-presentation induced by nanovaccine injection, which lead to an effective cell-mediated immune response. However, the manner in which the particle size and surface properties of vaccine carriers such as mesoporous silica nanoparticles (MSNs) affect this immune response is unknown. We prepared 50, 100, and 200 nm of MSNs that adsorbed ovalbumin antigen (OVA) while modifying β-glucan to enhance immunogenicity. The results revealed that these MSNs with different particle sizes were just as efficient in vitro, and MSNs with β-glucan modification demonstrated higher efficacy. However, the in vivo results indicated that MSNs with smaller particle sizes have stronger lymphatic targeting efficiency and a greater ability to promote the maturation of DCs. The results also indicate that β-glucan-modified MSN, with a particle size of ∼100 nm, has a great potential as a vaccine delivery vehicle and immune adjuvant and offers a novel approach for the delivery of multiple therapeutic agents that target other lymph-mediated diseases.
8.Human Gingival Stem Cells Prevent Diabetes in NOD Mice by Reducing Follicular B Cells
Yi-wen GUO ; Bao-ning LIU ; Jia YU ; Xin-hua CHANG ; Mao-gen CHEN ; Yi MA ; Su-xiong DENG ; Rong-hai DENG
Journal of Sun Yat-sen University(Medical Sciences) 2023;44(6):958-964
BackgroundType 1 diabetes is caused by a chronic immune response that destroys islet beta cells, resulting in elevated blood glucose. Mesenchymal stem cells can prevent and treat the development of diabetes and its complications. However, little is known about the effects and potential mechanisms of Gingival mesenchymal stem cells (GMSCs) in preventing diabetes. The aim of this study is to investigate the mechanism of GMSCs in preventing type 1 diabetes in mice and to find targets for clinical treatment of diabetes. MethodsWe injected human GMSCs into NOD mice to observe the trend of blood glucose, observed the survival of pancreatic β-cells by immunohistochemistry, and detected the change of immune cells in the spleen of mice by flow analysis. Finally, the immune cells in NOD mice were transfused into NOD-SCID mice to observe the onset of diabetes in NOD-SCID mice. ResultsGMSCs significantly reduced the incidence of diabetes in NOD mice, with 64% of control mice developing diabetes at 27 weeks of age compared with 35% in the GMSC group, P=0.013. The percentage of Follicular B cells(FO B cell) in the spleen of GMSCs-treated mice decreased from (52.2±4.1)% to (43.2±5.3)%, P=0.008, while other types of immune cells did not change significantly. The immunohistochemical results showed that GMSCs could effectively improve the survival of pancreatic β-cells, which could continuously produce insulin to control blood glucose. Finally, we found the spleen cells transfusion could prevent the development of diabetes in NOD-SCID mice. ConclusionGMSCs can reduce diabetes in mice by reducing FO B cells in the spleen.
9.A case of low-grade fibromyxoid sarcoma of the temporal bone.
Ming Yang MAO ; Guo Dong FENG ; Yu CHEN ; Xiao Hua SHI ; Xu TIAN ; Tong SU ; Hui Ying SUN ; Zhen Tan XU ; Wen Sheng REN ; Zhu Hua ZHANG ; Zhi Qiang GAO ; Zheng Yu JIN
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2023;58(1):64-67
10.Screening of quantitative preparation quality markers of Zhibao Sanbian Wan
Tao LI ; Xiao-liang ZHAO ; Wen-ya GAO ; Yue JIAO ; Yang LIU ; Zhi-guo WANG ; Guan-lian WANG ; Mao-bo DU
Acta Pharmaceutica Sinica 2023;58(7):1770-1779
On the basis of the qualitative preparation quality markers of Zhibao Sanbian Wan (ZBSBW), we screened out the quantitative markers and evaluated the content consistency of ZBSBW. A method capable of simultaneously determining 34 compounds in ZBSBW was established based on HPLC-MS/MS, and 16 batches of ZBSBW were simultaneously analyzed by this method. Furthermore, we explored a general strategy for analyzing the component migration in preparation, plasma, brain tissue and cerebrospinal fluid. The methodological investigation was confirmed by linear range, recovery (85.10%-105.07%), precision (RSD: 1.37%-4.58%), stability, and repeatability (3.00%-12.45%), the established method was suitable for the detection and quantification of the compounds in ZBSBW. The contents of compounds in ZBSBW were all lower than 1 mg·g-1, and the contents and daily dose of nystose were the highest, followed by echinacoside, paeoniflorin, osthole and paeonol. The results of systematic clustering showed that the contents were consistent for ordinary preparations of ZBSBW. The principal component analysis showed that the components of berberine, ginsenoside Re, ginsenoside Rg1, pinoresinol diglucoside and tenuifolin had large variation, which contributed significantly to the grouping. The contents of echinacoside, verbascoside, polygalaxanthone Ⅲ,

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