1.A prediction model for high-risk cardiovascular disease among residents aged 35 to 75 years
ZHOU Guoying ; XING Lili ; SU Ying ; LIU Hongjie ; LIU He ; WANG Di ; XUE Jinfeng ; DAI Wei ; WANG Jing ; YANG Xinghua
Journal of Preventive Medicine 2025;37(1):12-16
Objective:
To establish a prediction model for high-risk cardiovascular disease (CVD) among residents aged 35 to 75 years, so as to provide the basis for improving CVD prevention and control measures.
Methods:
Permanent residents aged 35 to 75 years were selected from Dongcheng District, Beijing Municipality using the stratified random sampling method from 2018 to 2023. Demographic information, lifestyle, waist circumference and blood biochemical indicators were collected through questionnaire surveys, physical examinations and laboratory tests. Influencing factors for high-risk CVD among residents aged 35 to 75 years were identified using a multivariable logistic regression model, and a prediction model for high-risk CVD was established. The predictive effect was evaluated using the receiver operating characteristic (ROC) curve.
Results:
A total of 6 968 individuals were surveyed, including 2 821 males (40.49%) and 4 147 females (59.51%), and had a mean age of (59.92±9.33) years. There were 1 155 high-risk CVD population, with a detection rate of 16.58%. Multivariable logistic regression analysis showed that gender, age, smoking, central obesity, systolic blood pressure, fasting blood glucose, triglyceride and low-density lipoprotein cholesterol were influencing factors for high-risk CVD among residents aged 35 to 75 years (all P<0.05). The area under the ROC curve of the established prediction model was 0.849 (95%CI: 0.834-0.863), with a sensitivity of 0.693 and a specificity of 0.863, indicating good discrimination.
Conclusion
The model constructed by eight factors including demographic characteristics, lifestyle and blood biochemical indicators has good predictive value for high-risk CVD among residents aged 35 to 75 years.
2.Body hydration status and decompression sickness
Mengru ZHOU ; Baoliang ZHU ; Long QING ; Yingjie ZHOU ; Hongjie YI ; Yewei WANG ; Kun ZHANG ; Weigang XU
Journal of Environmental and Occupational Medicine 2024;41(7):834-840
Hydration status refers to the balance between the intake and discharge of water in the body. When the ingested and discharged water are roughly equal and the body is in water balance, it is the normal hydration status, and when the water intake is too little or too much, it is the "dehydration" or "overhydration status". The hydration status of the body not only affects metabolism, but also affects the functions of the urinary system, cardiovascular system, nervous system, etc. In order to further clarify the relationship between body hydration status and decompression sickness (DCS), this paper reviewed relevant studies and analyzed the interaction between hydration and decompression safety during diving. The primary causes of dehydration in diving are "hyperbaric diuresis", "immersion diuresis", breathing dry gas, heat, and cold. Dehydration not only promotes the occurrence of DCS but also reduces the aerobic work efficiency and athletic performance of divers, as well as affects cognition and mood. A study found that appropriate rehydration before and during diving can reduce the risk of DCS, which possibly associates with the increase of blood volume, plasma surface tension, and vasoconstriction. Fluid therapy is also important for those who already have DCS. This paper analyzed the amount, nature, timing, and effect of rehydration involved in the above links, comprehensively sorted out the relationship between hydration and diving safety, summarized the existing problems, and provided reference for practical application and future research.
3.Clinical application and efficacy analysis of castor stent graft in the treatment of aortic diseases
Jiaxiang ZHUANG ; Ren WANG ; Xianlu MA ; Qi XIE ; Zhi DOU ; Fuzhen ZHENG ; Haiyu CHEN ; Yuanxiang CHEN ; Licheng YAN ; Hongjie ZHOU
Chinese Journal of Thoracic and Cardiovascular Surgery 2024;40(2):79-84
Objective:To summarize the use of Castor stent graft in aortic diseases and to analyze their efficacy.Methods:The clinical data of patients with aortic diseases treated with Castor stent graft from November 2017 to August 2022 in Fujian Provincial Hospital were collected and divided into branched stent group and branched stent co-operative group according to the operation method, and the clinical data of both groups were summarized.Results:A total of 75 cases of aortic disease were treated with Castor stents, and finally 53 cases were classified as branched stent group and 22 cases as branched stent co-operative group. The operations in both groups were successful. The median operative time in the branched stent group was 120(100, 160)min, and the median postoperative hospital stay was 7.0(5.5, 10.5)days.There was no postoperative ischemic stroke, no spinal cord ischemia. One case of new aortic dissection occurred. During follow-up, there was one lost case and two deaths, and the rest did not have endoleak, branch stent stenosis, ischemic stroke or re-intervention. In the branched stent co-operative group, there was one postoperative ischemic stroke, one case of slight stenosis of the left subclavian artery stent during follow-up, the remaining cases had satisfactory postoperative outcomes.Conclusion:Castor stent graft is a safe and effective procedure in the treatment of aortic diseases. And Castor stent graft can be used in combination with other endovascular repair techniques in the treatment of complex aortic diseases, with safe and reliable postoperative outcomes.
4.Non-targeted Metabolomics Analysis of Fuling Yunhua Granules in Treatment of Type 2 Diabetes Mellitus Rats
Mengyao TIAN ; Keke LUO ; Mengxiao WANG ; Tianbao HU ; Hongmei LI ; Zongyuan HE ; Lixin YANG ; Liyu HAO ; Nan SI ; Yuyang LIU ; Baolin BIAN ; Hongjie WANG ; Yanyan ZHOU
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(23):195-204
ObjectiveBased on non-targeted metabolomics, to analyze the regulation of endogenous differential metabolites in serum of type 2 diabetes mellitus(T2DM) rats by Fuling Yunhua granules, and to clarify the metabolic pathways through which this granules exerted its effect on improving T2DM. MethodSeventy SD rats, half male and half female, were randomly divided into the control group, model group, and high, medium, low dose groups of Fuling Yunhua granules(20.70, 10.35, 5.18 g·kg-1 in raw drug amount) and the positive drug group(pioglitazone hydrochloride tablets, 8.1 mg·kg-1). Except for the control group, other groups were fed with high-sugar and high-fat diet combined with intraperitoneal injection of streptozotocin(STZ) to establish a T2DM rat model. After successful modeling, the treatment groups were administered the corresponding drugs by gavage, and the control group and model group were treated with an equal volume of saline by gavage, once/d, for 28 d. Fasting blood glucose(FBG) and glycosylated hemoglobin A1c(GHbA1c) levels were measured in all groups of rats during the administration period, and hematoxylin-eosin(HE) staining was used to observe the pathomorphological changes in the pancreatic tissues of rats at the end of the administration period. The endogenous metabolite levels in rat serum were detected by ultra-performance liquid chromatography-linear ion trap-electrostatic field orbitrap high-resolution mass spectrometry(UPLC-LTQ-Orbitrap MS), and the data were processed using principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA). Differential metabolites were identified by the Human Metabolome Database(HMDB) and the Kyoto Encyclopedia of Genes and Genomes(KEGG), and screened for differential metabolites with variable importance in the projection(VIP) value>1, P<0.05, and fold change(FC)<0.6 or FC>1. And the metabolic pathway enrichment analysis of the screened differential metabolites was performed by MetaboAnalyst 5.0, then the screened differential metabolites were diagnosed and evaluated by the receiver operating characteristic(ROC) curves. ResultCompared with the control group, the FBG level of rats in the model group increased significantly(P<0.01), the GHbA1c content tended to increase, but the difference was not statistically significant, and the pancreatic tissue of rats was obviously damaged, the number of pancreatic islets decreased, and the pancreatic β-cells were obviously reduced, atrophied and enlarged. Compared with the model group, the FBG levels of rats in the high dose group of Fuling Yunhua granules and the positive drug group were significantly reduced after 2 weeks of administration(P<0.05, P<0.01), the GHbA1c content of rats in the high dose group of Fuling Yunhua granules was significantly reduced(P<0.05), and the pancreatic tissue lesions of rats in the different dose groups of Fuling Yunhua granules were reduced. The results of non-targeted metabolomics showed that 46 differential metabolites were significantly changed in the model group compared with the blank group. Pathway enrichment analysis found that T2DM mainly affected biological processes including biosynthesis of primary bile acid, D-amino acid metabolism, steroid hormone biosynthesis, and glycerophospholipid metabolism in rats. Compared with the model group, the levels of 8 differential metabolites in the high dose group of Fuling Yunhua granules were significantly adjusted, and the pathway enrichment analysis found that D-amino acid metabolism, retinol metabolism, glycine, serine and threonine metabolism, tryptophan metabolism and other metabolic pathways were mainly involved. ROC curves further analysis revealed that the four characteristic differential markers of 11-cis-retinol, D-piperidinic acid, D-serine, and p-cresol sulfate had high diagnostic value for the treatment of T2DM with Fuling Yunhua granules. ConclusionFuling Yunhua granules can improve the symptoms of T2DM rats by regulating the amino acid metabolic and retinol metabolic pathways through the modulation of endogenous differential metabolites.
5.Analysis of Specific Chromatogram of Classical Formula Qianghuo Shengshi Tang Reference Samples
Wenya GAO ; He XU ; Mingli LI ; Haiyu ZHAO ; Yanyan ZHOU ; Hongjie WANG ; Jian YANG ; Xiaolu WEI ; Zhikun FAN ; Nan SI ; Baolin BIAN
Chinese Journal of Modern Applied Pharmacy 2024;41(10):1350-1356
OBJECTIVE
To establish the specific chromatogram of Qianghuo Shengshi Tang(QHSS) reference sample, clarify the key quality attributes of QHSS, providing reference for the quality evaluation of QHSS reference sample.
METHODS
The SilGreen C18 column(4.6 mm×250 mm, 5 μm) was used. The mobile phase consisted acetonitrile and 0.2% formic acid aqueous solution. The detection wavelength was 328 nm. Established an HPLC characteristic spectrum analysis method for the reference sample of QHSS. A variety of chromatographic columns and different instruments were applied to investigate the adaptability of the system. HPLC-LTQ-Orbitrap MS was used to identify the specific peaks of the QHSS reference samples in positive ion mode.
RESULTS
There were 14 peaks in the specific chromatogram, which belonged to Notopterygii Rhizoma Et Radix, Angelicae Pubescentis Radix, Ligustici Rhizoma Et Radix, Chuanxiong Rhizome, Viticis Fructus, respectively. Ferulic acid(peak 3) was reference peak. A total of 22 compounds were identified by mass spectrometry, including coumarin and flavonoids.
CONCLUSION
The established specific chromatogram method of QHSS is simple, stable and reproducible. The material basis of QHSS reference sample is basically determined, providing a reference for the development and quality control of QHSS.
6.Clinical analysis of 7 cases of acute B cell lymphoblastic leukemia with t (17;19) (q21-22;p13)/TCF3-HLF fusion
Yan PU ; Yin LIU ; Xiangyue ZHOU ; Baoquan SONG ; Jian ZHANG ; Wanhui YAN ; Qian WANG ; Jiannong CEN ; Hongjie SHEN ; Qinrong WANG ; Suning CHEN ; Jinlan PAN ; Huiying QIU
Chinese Journal of Hematology 2024;45(9):867-871
A retrospective analysis of the clinical data of seven acute B-lymphoblastic leukemia (B-ALL) patients with TCF3-HLF fusion gene-positive admitted to the First Affiliated Hospital of Soochow University from June 2017 to August 2022 was conducted to summarize their clinical features and prognoses. The seven B-ALL patients comprised four males and three females, with a median age of 18 (11-33) years. Five patients tested positive for CD33 expression, and four patients had a normal karyotype. Two patients had hypercalcemia at the initial diagnosis, and one patient developed hypercalcemia at relapse. Six patients presented with coagulation dysfunction at diagnosis. After induction chemotherapy, five out of seven patients achieved complete remission, of which four subsequently relapsed. Two patients did not achieve remission even after two rounds of induction chemotherapy, with one achieving complete remission after treatment with blinatumomab immunotherapy. Three patients underwent chimeric antigen receptor T cell therapy, whereas three patients subsequently underwent hematopoietic stem cell transplantation. Five patients died, while two patients survived with sustained complete remission. TCF3-HLF-positive B-ALL is rare and has a high relapse rate and poor prognosis.
7.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.
8.Changing trend of sickness absenteeism among students during 2010-2017 academic years and its correlation with the incidence of acute infectious diseases in Jiading District,Shanghai
Chinese Journal of School Health 2023;44(6):914-918
Objective:
To describe the sickness absenteeism among primary and secondary school students in Jiading District and to analyze its correlation with the incidence of infectious diseases and associated lead or lag times, so as,to provide a scientific basis for the health and education departments to take measures.
Methods:
The regularity and symptom composition of school sickness absenteeism among primary and secondary school students in Jiading District from the 2010-2017 were described. The Joinpoint model was applied to analyze the changing trend of absenteeism. And the rate of school sickness absenteeism and incidences of 7 acute infectious diseases were compared through visual analysis. The time lagged correlation coefficients and Granger causality tests were applied to quantitatively analyze the correlation and lead/lag patterns.
Results:
The average rate of school sickness absenteeism among primary and secondary school students in Jiading District, Shanghai was 0.27%. Since the 2012 academic year, the overall rate of sickness absenteeism has been on the rise. Fever was the most common symptom of absenteeism (47.49%). The trend of sickness absenteeism rate was mainly consistent with the incidence of influenza, and showed a one way Granger causality. The maximum time lagged correlation coefficient was obtained in the second semester of the 2017 academic year with a value of 0.43 (95% CI =0.25-0.58). The maximum time lagged correlation coefficient between the rate of sickness absenteeism with fever and other respiratory symptoms and the incidence of influenza was also obtained in the second semester of the 2017 academic year and the maximum correlation coefficient was 0.50(95% CI =0.33-0.65).
Conclusion
The sickness absenteeism rate in primary and secondary school students is correlated to influenza incidence, and it has potential application value in supplementing early warning of influenza activities in the community.
9.Establishment of Specific Chromatogram and Thin-layer Identification Method for Kaixinsan
Wenya GAO ; Min FENG ; Chang GAO ; Haiyu ZHAO ; Yanyan ZHOU ; Hongjie WANG ; Ruipeng YU ; Yipeng ZHAO ; Lili ZHANG ; Yanqing GAO ; Yanhong XIAO ; Cuina CHENG ; Xiaolu WEI ; Nan SI ; Baolin BIAN
Chinese Journal of Experimental Traditional Medical Formulae 2023;29(13):37-44
ObjectiveTo establish the specific chromatogram and thin layer chromatography(TLC) identification method of Kaixinsan(KXS) samples, in order to clarify the key quality attributes and provide reference for the quality evaluation of KXS. MethodHigh performance liquid chromatography(HPLC) specific chromatogram of KXS was developed with YMC Hydrosphere C18 column(4.6 mm×250 mm, 5 μm), the mobile phase was acetonitrile(A)-0.2% formic acid aqueous solution(B) for gradient elution(0-15 min, 2%-20%A; 15-25 min, 20%-25%A; 25-30 min, 25%-30%A; 30-45 min, 30%-31%A; 45-50 min, 31%-44%A; 50-65 min, 44%-45%A; 65-73 min, 45%-75%A; 73-95 min, 75%-100%A; 95-105 min, 100%A; 105-105.1 min, 100%-2%A; 105.1-120 min, 2%A), the detection wavelength was 320 nm. Ultra high performance liquid chromatography-linear ion trap-electrostatic field orbitrap mass spectrometry(UHPLC-LTQ-Orbitrap MS) was used to identify the chemical components of KXS with electrospray ionization(ESI), negative ion mode and scanning range of m/z 50-2 000. TLC identification methods for Poria and Ginseng Radix et Rhizoma in KXS were established. ResultThere were 11 common peaks in the specific chromatogram of KXS, attributed to Polygalae Radix, Poria and Acori Tatarinowii Rhizoma. Taking peak 9(α-asarone) as the reference peak, the relative standard deviations of the retention times of 15 batches of KXS samples were<0.2%. A total of 34 compounds were identified by UHPLC-LTQ-Orbitrap MS, including terpenoids, phenylpropanoids, oligosaccharides and ketones. The established TLC had good separation and was rapid, reliable, simple, feasible, suitable for the identification of Poria and Ginseng Radix et Rhizoma in KXS. ConclusionThe specific chromatogram and TLC of KXS are stable and reproducible. The material basis of KXS is basically clarified by MS, which can provide a reference for the development and quality control of KXS.
10.Establishment of Specific Chromatogram and TLC Identification for Qingxin Lianziyin
Wenya GAO ; Xiujing MA ; Chang GAO ; Haiyu ZHAO ; Yanyan ZHOU ; Hongjie WANG ; Ruipeng YU ; Yipeng ZHAO ; Cuie YAN ; Lifang GAO ; Nan SI ; Baolin BIAN
Chinese Journal of Experimental Traditional Medical Formulae 2023;29(11):34-42
ObjectiveTo establish the specific chromatogram and thin layer chromatography(TLC) of Qingxin Lianziyin(QXLZY) benchmark samples, in order to clarify the key quality attributes and provide a reference for the quality evaluation of QXLZY. MethodHigh performance liquid chromatography(HPLC) specific chromatogram of QXLZY benchmark samples was developed by using a YMC Hydrosphere C18 column(4.6 mm×250 mm, 5 μm) with the mobile phase of acetonitrile(A)-0.2% formic acid aqueous solution(B) for gradient elution(0-10 min, 5%-20%A; 10-20 min, 20%A; 20-25 min, 20%-24%A; 25-40 min, 24%-30%A; 40-55 min, 30%-50%A; 55-65 min, 50%-100%A; 65-75 min, 100%A; 75-75.1 min, 100%-5%A; 75.1-90 min, 5%A), and the detection wavelength was 360 nm. Ultra-high performance liquid chromatography-linear ion trap/orbitrap mass spectrometry(UHPLC-LTQ-Orbitrap MS) with electrospray ionization(ESI) was used to identify the components of QXLZY benchmark samples by accurate relative molecular weight and multilevel MS fragment ion information, the detection conditions were positive and negative ion modes and data dependency scanning mode. TLC identification methods for Ophiopogonis Radix, Lycii Cortex, Nelumbinis Semen, Poria, Astragali Radix and Ginseng Radix et Rhizoma in QXLZY were established. ResultA total of 15 characteristic peaks were identified from Glycyrrhizae Radix et Rhizoma, Plantaginis Semen and Scutellariae Radix, and the relative standard deviations of the retention times of 15 characteristic peaks in 15 batches of QXLZY benchmark samples were≤3% with peak 8(baicalin) as the reference peak. A total of 100 compounds, including flavonoids, organic acids, saponins, amino acids and others, were identified in the benchmark samples by UHPLC-LTQ-Orbitrap MS. The established TLC had good separation and was suitable for the identification of Ophiopogonis Radix, Lycii Cortex, Nelumbinis Semen, Poria, Astragali Radix and Ginseng Radix et Rhizoma in QXLZY. ConclusionThe material basis of QXLZY benchmark samples is basically determined by MS designation and source attribution. The established specific chromatogram and TLC of QXLZY are simple, stable and reproducible, which can provide a reference for the development and quality control of QXLZY.


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