1.Withanolide derivatives from Physalis angulata var. villosa and their cytotoxic activities.
Peng WANG ; Jue YANG ; Yu ZHANG ; Jun JIN ; Meijun CHEN ; Xiaojiang HAO ; Chunmao YUAN ; Ping YI
Chinese Journal of Natural Medicines (English Ed.) 2025;23(6):762-768
A comprehensive phytochemical investigation of the leaves and twigs of Physalis angulata. var. villosa resulted in the isolation of 23 withanolide derivatives, including one novel 13,20-γ-lactone withanolide derivative (1) and three new withanolide derivatives (2-4). Architecturally, physalinin A (1) represents the first identified type B withanolide featuring a 13,20-γ-lactone moiety. The molecular structures of all isolates were elucidated using an integrated approach combining nuclear magnetic resonance (NMR) spectroscopy, mass spectrometry (MS), infrared (IR) spectroscopy, and quantum chemical calculations to confirm structural assignments. The antiproliferative activities of all isolated withanolides were evaluated against four human cancer cell lines (HEL, HCT-116, Colo320DM, and MDA-MB-231). Among them, eight derivatives (2, 5-8, 14, 15, and 23) exhibited significant inhibitory effects, with half-maximal inhibitory concentration (IC50) values of 0.18 ± 0.03 to 17.02 ± 0.21 μmol·L-1. Structure-activity relationship (SAR) analysis suggested that the presence of an epoxide ring enhances anticancer activity, potentially through increased reactivity or specific interactions with molecular targets involved in cancer progression. These findings underscore the pharmacological potential of withanolides as promising lead compounds for the development of novel anticancer therapeutics.
Withanolides/isolation & purification*
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Physalis/chemistry*
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Humans
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Molecular Structure
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Cell Line, Tumor
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Antineoplastic Agents, Phytogenic/isolation & purification*
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Cell Proliferation/drug effects*
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Plant Leaves/chemistry*
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Plant Extracts/pharmacology*
2.Single-cell RNA sequencing reveals the process of CA19-9 production and dynamics of the immune microenvironment between CA19-9 (+) and CA19-9 (-) PDAC
Deyu ZHANG ; Fang CUI ; Kailian ZHENG ; Wanshun LI ; Yue LIU ; Chang WU ; Lisi PENG ; Zhenghui YANG ; Qianqian CHEN ; Chuanchao XIA ; Shiyu LI ; Zhendong JIN ; Xiaojiang XU ; Gang JIN ; Zhaoshen LI ; Haojie HUANG
Chinese Medical Journal 2024;137(20):2415-2428
Background::Pancreatic ductal adenocarcinoma (PDAC) is one of the main types of malignant tumor of the digestive system, and patient prognosis is affected by difficulties in early diagnosis, poor treatment response, and a high postoperative recurrence rate. Carbohydrate antigen 19-9 (CA19-9) has been widely used as a biomarker for the diagnosis and postoperative follow-up of PDAC patients. Nevertheless, the production mechanism and potential role of CA19-9 in PDAC progression have not yet been elucidated.Methods::We performed single-cell RNA sequencing on six samples pathologically diagnosed as PDAC (three CA19-9-positive and three CA19-9-negative PDAC samples) and two paracarcinoma samples. We also downloaded and integrated PDAC samples (each from three CA19-9-positive and CA19-9-negative patients) from an online database. The dynamics of the proportion and potential function of each cell type were verified through immunofluorescence. Moreover, we built an in vitro coculture cellular model to confirm the potential function of CA19-9. Results::Three subtypes of cancer cells with a high ability to produce CA19-9 were identified by the markers TOP2A, AQP5, and MUC5AC. CA19-9 production bypass was discovered on antigen-presenting cancer-associated fibroblasts (apCAFs). Importantly, the proportion of immature ficolin-1 positive (FCN1+) macrophages was high in the CA19-9-negative group, and the proportion of mature M2-like macrophages was high in the CA19-9-positive group. High proportions of these two macrophage subtypes were associated with an unfavourable clinical prognosis. Further experiments indicated that CA19-9 could facilitate the transformation of M0 macrophages into M2 macrophages in the tumor microenvironment. Conclusions::Our study described CA19-9 production at single-cell resolution and the dynamics of the immune atlas in CA19-9-positive and CA19-9-negative PDAC. CA19-9 could promote M2 polarization of macrophage in the pancreatic tumor microenvironment.
3.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
4.Clinical predictive value of PD-1/PD-L1-induced electrocardiogram changes for cardiotoxicity
Nan XUE ; Lili PENG ; Dawei WU ; Xiaojiang LI
Chinese Journal of Oncology 2024;46(10):979-986
Objective:To observe the electrocardiogram (ECG) changes of programmed death receptor 1 (PD-1)/programmed death receptor-ligand 1 (PD-L1) immune checkpoint inhibitors before and after immunotherapy of patients during clinical antitumor process, and to explore the occurrence and influencing factors of cardiotoxicity of immune checkpoint inhibitors.Methods:A total of 93 patients with locally advanced or metastatic solid tumors confirmed by pathological diagnosis in Cancer Hospital of Chinese Academy of Medical Sciences from October 1, 2019 to September 30, 2020 were selected and treated with PD-1/PD-L1 inhibitor monotherapy. Groups were divided according to immunotherapy regimen: Group A (drug code: 609A), 16 patients were given 1 mg/kg of the drug for 21 days; Group B (drug code: HX008), 23 patients were treated with 200mg for 21 days; Group C (drug code: GB226), 28 patients were treated with 3mg/kg for 14 days; Group D (drug code: LP002), 26 patients were treated with 900mg for 14 days. The patients were monitored and followed up for 10 cycles. The ECG results of each group were recorded, and the correlation between ECG abnormality and cardiotoxicity was analyzed.Results:A total of 75 patients showed abnormal ECG that met the diagnostic criteria. There was no significant difference in abnormal ECG rate after immunotherapy in group A ( P>0.05), while the incidence of adverse cardiac events increased after immunotherapy in group B ( P<0.05), and the abnormal ECG rate increased significantly after chemotherapy in group C and group D. There was statistical difference before and after immunotherapy ( P<0.001). The number of abnormal cases in group A (8 cases, 50.0%, 8/16) was significantly lower than that of group B (20 cases, 87.0%, 20/23). The number of abnormal cases in group C and group D was 24 (85.7%) and 23 (88.4%), respectively, without statistical difference ( P>0.05), but their abnormal rates of ECG were higher than that in group A. The incidence of electrical adverse events in immunotherapy center of patients with underlying diseases was 1.93 times higher than that of patients without underlying diseases. The incidence of central electrical adverse events during immunotherapy in group B, C and D was 6.667, 6.000 and 7.667 times higher than that in group A, respectively. Conclusions:The high sensitivity of early ECG changes induced by immune checkpoint inhibitors enables early prediction of related cardiotoxicity. The presence or absence of comorbid underlying disease and drug dosage are correlated with the occurrence of adverse cardiac events, and these early changes provide a evidence for clinical treatment and prevention.
5.Clinical predictive value of PD-1/PD-L1-induced electrocardiogram changes for cardiotoxicity
Nan XUE ; Lili PENG ; Dawei WU ; Xiaojiang LI
Chinese Journal of Oncology 2024;46(10):979-986
Objective:To observe the electrocardiogram (ECG) changes of programmed death receptor 1 (PD-1)/programmed death receptor-ligand 1 (PD-L1) immune checkpoint inhibitors before and after immunotherapy of patients during clinical antitumor process, and to explore the occurrence and influencing factors of cardiotoxicity of immune checkpoint inhibitors.Methods:A total of 93 patients with locally advanced or metastatic solid tumors confirmed by pathological diagnosis in Cancer Hospital of Chinese Academy of Medical Sciences from October 1, 2019 to September 30, 2020 were selected and treated with PD-1/PD-L1 inhibitor monotherapy. Groups were divided according to immunotherapy regimen: Group A (drug code: 609A), 16 patients were given 1 mg/kg of the drug for 21 days; Group B (drug code: HX008), 23 patients were treated with 200mg for 21 days; Group C (drug code: GB226), 28 patients were treated with 3mg/kg for 14 days; Group D (drug code: LP002), 26 patients were treated with 900mg for 14 days. The patients were monitored and followed up for 10 cycles. The ECG results of each group were recorded, and the correlation between ECG abnormality and cardiotoxicity was analyzed.Results:A total of 75 patients showed abnormal ECG that met the diagnostic criteria. There was no significant difference in abnormal ECG rate after immunotherapy in group A ( P>0.05), while the incidence of adverse cardiac events increased after immunotherapy in group B ( P<0.05), and the abnormal ECG rate increased significantly after chemotherapy in group C and group D. There was statistical difference before and after immunotherapy ( P<0.001). The number of abnormal cases in group A (8 cases, 50.0%, 8/16) was significantly lower than that of group B (20 cases, 87.0%, 20/23). The number of abnormal cases in group C and group D was 24 (85.7%) and 23 (88.4%), respectively, without statistical difference ( P>0.05), but their abnormal rates of ECG were higher than that in group A. The incidence of electrical adverse events in immunotherapy center of patients with underlying diseases was 1.93 times higher than that of patients without underlying diseases. The incidence of central electrical adverse events during immunotherapy in group B, C and D was 6.667, 6.000 and 7.667 times higher than that in group A, respectively. Conclusions:The high sensitivity of early ECG changes induced by immune checkpoint inhibitors enables early prediction of related cardiotoxicity. The presence or absence of comorbid underlying disease and drug dosage are correlated with the occurrence of adverse cardiac events, and these early changes provide a evidence for clinical treatment and prevention.
6.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
7.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
9.Impact of university attributes on measles vaccination in universities and colleges in China
ZHANG Xinyi, HU Xiaojiang, PENG Xiangdong, WANG Li
Chinese Journal of School Health 2019;40(3):437-440
Objective:
To understand reason for the difference of supplementary immunization activities (SIA) using measles-containing vacline (MV) among different types of universities in China.
Methods:
Ten universities from one city were selected by using purposive sampling method. Qualitative interviews were conducted on the implementation of MV SIA in universities, and the differences of measles vaccination and the reasons were analyzed.
Results:
The MV vaccination rates in the 10 universities in 2017 were 54%, 96%,95%,97%,81%,93%,13%,12%,10% and 21% respectively.The rate of four-year universities was higher than that of three-year colleges; and the rate of public universities was higher than that of private schools; the rate of provincial universities was higher than that of central government administered universities; the vaccination rates also vary within central government administered universities.The level, ownership and affiliation of colleges and universities led to the differences in medical qualification, administrators’ risk perception of disease and vaccines, and the relationship between the schools and local CDC, which in turn affected the implementation of vaccination in universities.
Conclusion
The different attributes of universities are the fundamental reasons that lead to the differences in the rate of MV SIA in Chinese universities. It is suggested that the differences of university attributes should be considered in the process of implementation of the policy of immunization in universities.And the vaccination policy in universities should be strengthened, the risk communication of universities, especially private universities, should be improved, and the working relationship of the Ministry of Health and the Ministry of Education should be enhanced.
10.Surveillance of bacterial resistance in Peking Union Medical College Hospital during 2014
Xiaojiang ZHANG ; Qiwen YANG ; Hongli SUN ; Yao WANG ; He WANG ; Hongtao DOU ; Ying ZHAO ; Peng WANG ; Hui ZHANG ; Renyuan ZHU ; Hongmei SONG ; Yingchun XU
Chinese Journal of Infection and Chemotherapy 2016;16(3):315-322
Objective To investigate the antimicrobial resistance proifle in the clinical bacterial strains isolated from Peking Union Medical College Hospital during 2014.Methods A total of 8 295 nonduplicate clinical isolates were collected. Disc diffusion test (Kirby-Bauer method) and automated systems were employed to study the antimicrobial susceptibility. The data were analyzed by using WHONET 5.6 software according to CLSI 2014 breakpoints.Results Of the 8 295 isolates, 67.4% were gram-negative, and 32.6% were gram-positive. The top 10 most frequently isolated bacteria were:E. coli(18.1%),P. aeruginosa (10.8%),K. pneumoniae (10.2%),S. aureus (9.8%),
A. baumannii(9.2%),E. faecalis (6.3%),E. faecium (4.1%), coagulase-negativeStaphylococcus (4.1%),E. cloacae (3.1%) andS. maltophilia (2.9%). Methicillin resistant strains inS. aureus (MRSA) and coagulase negativeStaphylococcus (MRCNS) accounted for average of 28.4% and 66.5%, respectively. The resistance rates of MR strains to β-lactams and other antimicrobial agents were much higher than those MS strains. Overall, 81.3% of MRSA strains were still susceptible to trimethoprim-sulfamethoxazole, while 81.1% of MRCNS strains were susceptible to rifampin. No staphylococcal strains were resistant to vancomycin, teicoplanin or linezolid. The resistance rate ofE. faecalis strains to most of the drugs tested (except chloramphenicol) was much lower than those ofE. faecium. Several strains of bothE. faecium andE. faecalis were found resistant to vancomycin and teicoplanin, which were Van-A and Van-B types based on their phenotype. No linezolid resistant enterococcal strains were found. Data showed that 90.8% ofβ-hemolyticStreptococcus strains were susceptible to penicillin. ESBLs-producing strains accounted for 54.2%, 31.0% and 28.9% inE. coli,Klebsiella spp (K. pneumoniae andK. oxytoca) andP. mirabilis, respectively.Enterobacteriaceae isolates were still highly susceptible to carbapenems. Overall, no more than 3.3% of these strains were resistant to carbapenems. A few extensively drug-resistant strains ofK. pneumoniae (1.3%, 11/842) were identiifed. The resistance rates ofP. aeruginosa to imipenem and meropenem were 17.5% and 11.8%, respectively.P. aeruginosa isolates showed the lowest resistance rate (5.9%) to amikacin. And 69.0% and 67.4% ofA. baumanniiisolates were resistant to imipenem and meropenem.A. baumannii isolates showed the lowest resistance rates to cefoperazone-sulbactam and minocycline (47.8% and 28.7%), respectively. The prevalence of extensively drug-resistant strains was 32.3% inA. baumannii and 1.8% inP. aeruginosa. The prevalence of β-lactamase inH. inlfuenzae was 33.7%. More than 93.0% ofS. pneumoniae strains were resistant to erythromycin and clindamycin.Conelusions Bacterial resistance is still increasing in this hospital, especially carbapenem resistantEnterobacteriaceae. It is necessary to take effective hospital infection control measures and use antibiotics rationally.


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