1.A practical study on basic medical research team construction and student cultivation mode in universities
Dan TANG ; Xiang LI ; Xi JIN ; Liang ZHOU ; Shijian FENG ; Jing CHEN ; Shiqian QI
Chinese Journal of Medical Education Research 2025;24(7):902-907
This article reviews the challenges faced by research teams in China, and drawing on advanced management modes both in China and abroad, proposes a "dual optimization of management modes, stable and efficient platform support, and flexible and precise talent development" mode for research team construction and student cultivation. Specifically, this mode includes promoting flexible team management through enhanced two-way feedback between mentors and students, improving shared experimental platforms to increase resource utilization efficiency, and designing tailored training programs that align with individual student needs. The aim is to enhance team cohesion, improve the communication, collaboration, and innovation in basic medical research teams, and ultimately raise the quality of talent development in universities.
2.One Health theory and practice in China:history,present and future
Mu-xin CHEN ; Tian TIAN ; Yang HONG ; Jun-hu CHEN ; Jing-shu LIU ; Jian HE ; Xian-fa CHEN ; Qin LI ; Jin-xin ZHENG ; Tie-jian FENG ; Xiao-nong ZHOU
Chinese Journal of Zoonoses 2025;41(5):447-455
This paper summarizes the progress of theoretical research and practice of One Health in China,and discusses the paradigm of One Health governance to improve the prevention and control of infectious diseases in China and the world,and provide an example for the improvement of the public health system.In particular,China has long history to apply the concept of One Health in the national schistosomiasis control programmes and patriotic health campaigns,which were not only focusing on human health,but also emphasizing the sustainable development of animal health and ecological environment.At the same time,the application of tools such as system dynamics model,eDNA technology,One Health economic assessment and global One Health index(GOHI)in the field of disease control and environmental health provides technical support for the concept of One Health.Despite the challenges of practical application of these tools,the One Health concept will play a greater role in providing sustainable solutions for human-animal-environmental health by strengthening interdisciplinary collaboration,improving standardization protocols and promoting inter-national cooperation.
3.Chemical constituents from Gymnema tingens and their in vitro hypoglycemic activity
Mei-yu LIU ; Xin ZHAN ; Guang-feng LIAO ; Jin-yan ZHANG ; Xin-zhou YANG ; Ru-mei LU
Chinese Traditional Patent Medicine 2025;47(6):1892-1900
AIM To study the chemical constituents from Gymnema tingens Spreng.and their in vitro hypoglycemic activity.METHODS The 70%ethanol extract was isolated and purified by macroporous resin,silica gel,sephadex LH-20,and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical propeties and spectral data.The in vitro hypoglycemic activity was evaluated by glucose uptake test in L6 cells.RESULTS Seventeen compounds were isolated and identified as 7-desoxyneocynapanogenin A(1),glaucogenin(2),cynatratoside A(3),atratcynoside F(4),(+)-lyoniresinol(5),(+)-lyoniresinol 3-O-α-D-rhamnopyranoside-(1→6)-β-D-glucopyranoside(6),fernandoside(7),3,4-dimethoxy-phenyl-1-O-β-D-apiofuranosyl-(1→2)-β-D-glucopyranoside(8),khaephuoside A(9),khaephuoside B(10),3,4,5-trimethoxy-phenyl-O-β-D-glucopyranoside(11),liquiritigenin(12),7,3'-dihydroxy-flavanone-4'-O-β-D-glucopyranoside(13),pinoresinol(14),syringaldehyde(15),(+)-1-hydroxy-pinoresinol-1-β-D-glucopyranoside(16),β-amyrin(17).Compounds 2-5、7、9、10、12、17 could promote the glucose uptake in L6 cells.CONCLUSION Compound 1 is a new compound,and 2-9、11-13、15-17 are isolated from this plant for the first time.Compounds 2-5、7、9、10、12、17 have good hypoglycemic activity.
4.Research and Analysis of the Present Situation of Intelligent Construction of Beijing District-level Public Hospitals
Mingyue LI ; Hao CHI ; Shicheng ZHANG ; Chengyu MA ; Haopeng LIU ; Feng JIN ; Jiehong ZHOU ; Xinqing ZHANG
Chinese Hospital Management 2025;45(7):88-91
Objective To investigate and analyze the current situation of the construction of Smart Hospital in the dis-trict-level hospital of Beijing,and to provide reference for thedistrict-level hospitals to promote the construction of Smart Hospitals.Methods A questionnaire survey was conducted in Beijing district-level hospitals,and the construc-tion of Smart Hospital was analyzed by descriptive statistical analysis.Results The overall construction rate of Beijing district-level hospitals smart service business function was 50.98%,and the overall average construction rate of hos-pital smart management business function was 46.72%.93.75%hospitals thought that the investment in Smart Hos-pital construction was insufficient.The functions of smart service and management in different grades and categories of hospitals were different.Conclusion In order to promote the construction of Smart Hospital in Beijingdistrict-level hospitals,we should improve the top-level system such as strategic planning for the construction of smart hospi-tals,increase the investment in hospital informatization and talent teams,strengthen the standardization of intercon-nection between different hospitals,enhance the sharing and utilization of medical data and information,and strengthen the application of new hospital technologies and hospital information security.
5.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
6.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
7.Study on the Relationship between the Expression of miR-19a-3p and miR-23b-3p in Prostate Cancer Tissues and Clinicopathological Parameters and Prognosis
Yuan-feng FAN ; Jun ZHANG ; Da-jin ZHU ; Yun-feng ZHOU
Progress in Modern Biomedicine 2025;25(10):1620-1627
Objective:To investigate the relationship between the expression of microribonucleic acid(miR)-19a-3p and miR-23b-3p in prostate cancer tissues and clinicopathological parameters and prognosis.Methods:135 prostate cancer patients who were admitted to our hospital from January 2019 to October 2021 were selected,all patients underwent radical prostatectomy or radical prostatectomy plus lymph node dissection,surgically resected cancer tissues and adjacent tissues were taken,and the expression of miR-19a-3p and miR-23b-3p were detected.The patients were followed up for 3 years after discharge,the survival curve was drawn by Kaplan-Meier,and the factors affecting the prognosis of prostate cancer patients were analyzed by COX regression.Results:The expression of miR-19a-3p and miR-23b-3p in cancer tissues of prostate cancer patients were lower than those in adjacent tissues(P<0.05).the expression of miR-19a-3p and miR-23b-3p in prostate cancer tissues with tumor stage pT3-4,gleason grade Gleason 3-5 and lymph node metastasis was lower than that in prostate cancer tissues with tumor stage pT1-2,Gleason 1-2 and no lymph node metastasis(P<0.05).3 cases were lost to follow-up,20 cases died and 112 cases survived.The 3 years overall survival(OS)rate in prostate cancer patients with low expression of miR-19a-3p and low expression of miR-23b-3p was lower than that in prostate cancer patients with high expression of miR-19a-3p and high expression of miR-23b-3p(P<0.05).Lymph node metastasis was a risk factor for poor prognosis in prostate cancer patients(P<0.05),and high expression of miR-19a-3p and miR-23b-3p were protective factors(P<0.05).Conclusion:The expression of miR-19a-3p and miR-23b-3p in prostate cancer tissues is down-regulated,and is associated with high tumor stage and histological grade,lymph node metastasis and low survival rate.
8.Study on the Effect and Mechanism of Ziyin Mingmu Formula in Inhibiting Laser-Induced Choroidal Neovascularization in Mice Based on Network Pharmacology
Xin ZHOU ; Caijian XIONG ; Ning YANG ; Qingzi JIN ; Kang TAO ; Yuan YUAN ; Wei SHI ; Zhe FENG ; Xinrong XU
Journal of Nanjing University of Traditional Chinese Medicine 2025;41(9):1189-1197
OBJECTIVE To investigate the effect and potential mechanism of Ziyin Mingmu Formula in treating age-related mac-ular degeneration(AMD)by combining network pharmacology with animal model validation.METHODS Active ingredients of Ziyin Mingmu Formula were obtained from the TCMSP and BATMAN databases,and their targets were searched using the PharmMapper da-tabase.AMD disease targets were identified using the GeneCards,DrugBank,OMIM,and TTD databases.Venny analysis was per-formed to identify the intersection of active ingredient and disease targets.A protein-protein interaction(PPI)network was constructed using the String database,and core targets were screened using Cytoscape 3.9.0 software.KEGG pathway enrichment analysis was per-formed using the DAVID database.Molecular docking of key active ingredients with core targets was performed using Autodock software.A laser-induced mouse choroidal neovascularization(CNV)model was used.Optical coherence tomography angiography(OCTA)was used to assess CNV area in vivo,immunofluorescence staining was used to assess CNV area on choroidal flat mounts,and Western blot analysis was used to examine the expression of proteins involved in the vascular endothelial growth factor(VEGF)pathway.RESULTS Network pharmacology analysis identified 221 active ingredients in the Ziyin Mingmu Formula.PPI analysis i-dentified 29 core targets,including SRC,protein kinase B(AKT1),mitogen-activated protein kinase 1(MAPK1),and heat shock protein 90α family class A member 1(HSP90AA1).KEGG analysis revealed that the VEGF signaling pathway was the most highly en-riched.Molecular docking revealed that the core targets SRC,AKT1,MAPK1,and HSP90AA1 had good binding affinity with the main active ingredients,diosmetin,catechin,vestitol,and licochalcone A.Animal experiments showed that the Ziyin Mingmu Formula significantly reduced CNV area in model mice,downregulated VEGF protein expression,decreased VEGFR2,p38,and ERK1/2 pro-tein phosphorylation levels,and inhibited the VEGF signaling pathway.CONCLUSION Ziyin Mingmu Formula may inhibit CNV for-mation by regulating the VEGF signaling pathway.
9.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
10.Bioequivalence of rivaroxabanpian in healthy Chinese subjects
Xu ZHU ; Xiao-ni WANG ; Chang LU ; Ran ZHANG ; Ning CHEN ; Jin-mei ZHOU ; Feng ZHANG ; Wen ZHANG ; Sheng-long ZHAO ; Shun-wang HUANG ; Huan ZHOU
Chinese Pharmacological Bulletin 2025;41(11):2194-2199
Aim To evaluate the bioequivalence of two oral preparations of rivaroxaban tablets(test preparation T and refe-rence preparation R)in fasting/postprandibular state in healthy Chinese subjects.Methods A randomized,open,single-dose,four-cycle,completely repeated crossover experiment was used in this study.A total of 70 healthy male and female subjects were enrolled,including 38 subjects in the fasting group and 32 sub-jects in the postprandial group.Rivaroxaban tablets(2.5 mg/tablet)were taken orally once per cycle and their reference preparations were tested.The plasma rivaroxaban concentration was determined by LC-MS/MS method.The pharmacokinetic parameters of rivaroxaban tablets were calculated by WinNonlin software,and the parameters were analyzed and processed.Re-sults The PK parameters of rivaroxaban tablets and reference preparations in fasting group were as follows:Cmax was(72.48±17.08)and(66.36±15.64)μg·L-1,respectively.AUC0-t were(383.49±101.06)and(370.43±102.16)h·ng·mL-1,and AUC0-inr were(389.58±102.28)and(375.84±103.01)h·μg·L-,respectively.Main PK parameters of subjects taking rivaroxaban tablets orally after meals:Cmax were(66.48±15.64 and 60.87±13.44)μg·L-1,AUC0-t were(404.44±72.58)and(381.80±79.93)h·μg·L-1,re-spectively.AUC0_inf was(410.88±73.55)and(393.64±69.71)h·μg·L-1,respectively.Under fasting and postmeal conditions,subjects took rivaroxaban test and reference prepara-tion orally,one tablet(2.5 mg/tablet)each time.The geometric mean of the main pharmacokinetic parameters of rivaroxaban in plasma(Cmax,AUC0-t,AUC0-inf)and their corresponding values had a 90%confidence interval ranging from 80.00%to 125.00%.No serious adverse events or unexpected adverse e-vents occurred in both groups.Conclusion Rivaroxaban tablets are bioequivalent and safe in vivo under fasting and postprandial conditions.

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