1.Isolation of Enterobacteriaceae strains carrying mcr-1 resistance gene from Shanghai wastewater treatment plants and quantification of their copy number
Jun FENG ; Mingxiang LIU ; Yuan ZHUANG ; Miao PAN ; Qian LIU ; Yong CHEN ; Jiayuan LUO ; Jiayi FEI ; Yitong WU ; Yanqi ZHU ; Jing ZHANG ; Min CHEN
Shanghai Journal of Preventive Medicine 2024;36(3):217-223
ObjectiveTo provide technical support for the molecular surveillance of pathogenic bacteria strains carrying mobile colistin resistance-1 (mcr⁃1) gene isolate from inlet of wastewater treatment plants (WWTP). MethodsThe Enterobacteriaceae strains carrying mcr⁃1 resistance gene isolate from inlet of WWTP during April 1 to June 30, 2023 in Shanghai were cultured on blood-rich and SS culture medium and were identified using a mass spectrometry analyzer. The mcr⁃1 gene and copy number were detected by real-time fluorescence quantitative PCR. Drug susceptibility test was performed by microbroth dilution method. The copy numbers of Escherichia coli carrying mcr⁃1 gene isolated from wastewater and human fecel were statistically analyzed by SPSS 25.0. ResultsA total of 14 strains carrying the mcr⁃1 gene were isolated from 49 WWTP samples, and the positive isolation rate was 28.6%, including 12 non-diarrheal E. coli strains and 2 Klebsiella pneumoniae strains. The drug susceptibility results showed that all 14 strains were multi-drug resistant bacteria. They were all sensitive to imipenem and tigecycline, but were ampicillin- and cefazolin-resistant. There was no significant difference in the copy number between human-sourced diarrheal E. coli and wastewater-sourced non-diarrheal E. coli (t=0.647, P>0.05). ConclusionThe isolation and identification of strains carrying the mcr⁃1 gene from inlet of WWTP samples were firstly established in Shanghai. The multi-drug resistance among the isolated strains is severe. To effectively prevent and control the spread of colistin-resistant bacteria, more attention should be paid to the surveillance of mcr⁃1 gene.
2.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.
3.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.
4.Correlation study of transcranial sonography combined with serum biomarkers and cognitive status in patients with Parkinson′s disease
Hai WANG ; Yingchun ZHANG ; Changwei DING ; Caishan WANG ; Yujing SHENG ; Xiaofang CHEN ; Ying ZHANG ; Min YANG ; Pan MAO ; Yong YANG ; Ping FENG ; Chengjie MAO ; Jing CHEN ; Chunfeng LIU
Chinese Journal of Ultrasonography 2024;33(6):512-518
Objective:To explore the correlation between transcranial sonography (TCS) combined with serum homocysteine (Hcy), blood glucose, blood lipids, the cognitive status of Parkinson′s disease (PD) patients, and to analyze the clinical application value of these parameters in assessing the cognitive status of PD patients.Methods:A total of 152 PD patients admitted to the Second Affiliated Hospital of Soochow University from January 2020 to June 2023 were retrospectively collected as the PD group, and 101 healthy examinees matched for age and gender during the same period were selected as control group. Clinical data [age, gender, duration of illness, Montreal Cognitive Assessment (MoCA) score, Mini-Mental State Examination (MMSE) score, Unified Parkinson′s Disease Rating Scale Part Ⅲ (UPDRS-Ⅲ) score, Hoehn-Yahr (H-Y) stage, etc.], serum tests (Hcy, blood glucose, total cholesterol, triglycerides, low-density lipoprotein, high-density lipoprotein concentration), and TCS examination results (third ventricular width, midbrain area, peak systolic velocity of bilateral middle cerebral arteries, bilateral middle cerebral artery resistance index, bilateral substantia nigra hyperechoic area) were collected. The two groups were divided into pure PD group and PD group with elevated Hcy, pure control group and control group with elevated Hcy, based on an Hcy concentration threshold of ≥15 μmol/L. The differences in the above parameters among the four groups were compared. The correlation between Hcy and cognitive status (MoCA score, MMSE score) of PD patients and the above parameters were analyzed.Results:The MoCA score and MMSE score of the PD group with elevated Hcy were lower than those of the pure PD group, and the UPDRS-Ⅲ score and H-Y stage were higher than those of the pure PD group (all P<0.001). The order of Hcy concentration from high to low was PD group with elevated Hcy, pure Hcy elevation group, pure PD group, and pure control group. The differences in serum data and TCS data among the four groups were statistically significant (all P<0.001). Spearman correlation analysis showed: ①In the PD group, the concentration of Hcy was positively correlated with glucose concentration, H-Y stage, low-density lipoprotein concentration, right middle cerebral artery resistance index, UPDRS-Ⅲ score, total cholesterol concentration, triglyceride concentration, left middle cerebral artery resistance index, third ventricular width, and age ( rs=0.422, 0.350, 0.348, 0.334, 0.325, 0.300, 0.293, 0.283, 0.221, 0.164, all P<0.05); Hcy concentration was negatively correlated with midbrain area, MMSE score, MoCA score, peak systolic velocity of right middle cerebral artery, peak systolic velocity of left middle cerebral artery, and high-density lipoprotein concentration ( rs=-0.328, -0.282, -0.245, -0.229, -0.224, -0.192, all P<0.05). ②Clinical data, serum data, and TCS data of PD patients were all correlated with MoCA score and MMSE score, with midbrain area showing the largest positive correlation ( rs=0.524, 0.516; both P<0.05) and H-Y stage showing the largest negative correlation( rs=-0.490, -0.468; both P<0.05). Conclusions:PD patients with elevated Hcy have lower cognitive scores than pure PD patients. The correlation between Hcy concentration and blood glucose concentration is the highest in PD patients, followed by H-Y stage. The cognitive scores of PD patients are most correlated with midbrain area and unrelated to substantia nigra hyperechoic area. Lowering serum Hcy concentration in PD patients may be one of the ways to delay cognitive impairment.
5.Transcranial sonography image characteristics of substantia nigra in different Parkinson′s disease subtypes and their correlation with iron metabolism
Chenchu YING ; Yingchun ZHANG ; Changwei DING ; Caishan WANG ; Yujing SHENG ; Xiaofang CHEN ; Ying ZHANG ; Min YANG ; Pan MAO ; Yong YANG ; Ping FENG ; Chengjie MAO ; Jing CHEN ; Chunfeng LIU
Chinese Journal of Ultrasonography 2023;32(4):332-338
Objective:To explore the pathological mechanism of SN hyperechogenicity by investigating the characteristics of substantia nigra (SN) hyperechogenicity on transcranial sonography (TCS) and serum iron metabolism parameters in the postural instability gait difficulty and tremor dominant subtypes of Parkinson′s disease (PD), and the correlation between them.Methods:A total of 155 PD patients recruited in Parkinson′s Disease Specialty in the Second Affiliated Hospital of Soochow University from January 2019 to December 2021 were divided into postural instability gait difficulty group( n=95) and tremor dominant group( n=60). Meanwhile, 49 healthy gender- and age-matched healthy individuals who sought for physical examination during the same period were included as the control group. All subjects underwent TCS and blood test, and the echo of SN between the postural instability gait difficulty group and tremor dominant group, serum iron metabolism parameters among the three groups were compared. The postural instability gait difficulty group and tremor dominant group were subdivided into with SN hyperechogenicity (SN+ )subgroup and without SN hyperechogenicity (SN-) subgroup respectively according to TCS results, and the differences in serum iron metabolism parameters between the subgroups were further compared. The association between SN hyperechogenicity and serum iron metabolism parameters of the postural instability gait difficulty group and tremor dominant group were further analyzed. Results:The total area of bilateral SN+ , the area of SN+ on the larger side, and the ratio of the total area of SN+ to the midbrain area (S/M) in postural instability gait difficulty group were larger than those in tremor dominant group (all P<0.001). The value of serum ceruloplasmin and transferrin in both postural instability gait difficulty group and tremor dominant group were lower than those in control group (all P<0.001), and compared with tremor dominant group and control group, the postural instability gait difficulty group had lower serum ferritin(all P<0.01). In both postural instability gait difficulty group and tremor dominant group, serum ceruloplasmin in SN+ subgroup was lower than that in SN-subgroup ( P=0.001, 0.032). Moreover, there was a negative correlation between serum transferrin and the area of SN hyperechogenicity in two subgroups(postural instability gait difficulty group: rs=-0.454, P<0.001; tremor dominant group: rs=-0.494, P<0.001). Conclusions:Compared with the tremor dominant patients, the postural instability gait difficulty patients have larger area of SN hyperechogenicity and lower serum ferritin level. The area of SN hyperechogenicity is significantly negatively correlated with serum transferrin level, indicating that the production of this imaging characteristics is related to iron metabolism.
6.Effect of Human Bone Marrow Mesenchymal Stem Cells with Ectopic High OCT4 Expression on T Lymphocyte Function.
Xiao-Ping GUO ; Yan-Fei CHEN ; Ping CHEN ; Jin PAN ; Pei-Ting YING ; Ning ZHAO ; Yong-Min TANG
Journal of Experimental Hematology 2023;31(5):1523-1530
OBJECTIVE:
To explore the effect of human bone marrow mesenchymal stem cells (MSCs) with ectopic high OCT4 expression on T-cell proliferation, activation and secretion in vitro.
METHODS:
Peripheral blood mononuclear cells were isolated from healthy children. Anti-CD3 and anti-CD28 monoclonal antibodies were used to activate T lymphocytes, which were stimulated by interleukin (IL)-2 for one week in vitro. Then MSCs with ectopic high OCT4 expression (MSC-OCT4) were co-cultured with activated T lymphocytes. After one week of co-culture, the supernatant was collected and the levels of Th1/Th2 cytokines [IL-2, IL-4, IL-6, IL-10, tumor necrosis factor (TNF)-α and interferon (IFN)-γ] were determined by flow cytometry. The lymphocytes after one week of co-culture were collected and counted by Countstar software. After the proportions of activated/inactivated T cell subsets were determined by flow cytometry, the absolute lymphocyte counts were calculated and expressed as mean ± standard deviation.
RESULTS:
Compared with control T cell alone culture group, the proliferation of CD3+ T cells, CD3+CD4+ T cells, and CD3+CD8+ T cells were significantly inhibited in MSC group and MSC-OCT4 group. Compared with MSC, MSC-OCT4 could inhibit CD3+CD8+ T cell proliferation better (P =0.049), and mainly inhibited early T cell activation. Compared with control T cell alone culture group, the levels of IL-2 and INF-γ were significantly down-regulated both in MSC group and MSC-OCT4 group.After co-culture with T cells for one week, the level of IL-6 significantly increased in MSC group and MSC-OCT4 group compared with that before co-culture. Compared with control MSC group, MSC-OCT4 group had higher viable cell numbers after 1 week of co-culture (P =0.019), and could resist the inhibition of proliferation by higher concentration of mitomycin C.
CONCLUSION
Both MSC and MSC-OCT4 can inhibit the proliferation and activation of IL-2-stimulated T cells in vitro. After overexpression of OCT4, MSC has better proliferation ability in vitro and can inhibit the proliferation of CD3+CD8+ T cells more effectively, which may have a better and more lasting immunosuppressive ability to regulate the balance of Th1/Th2.
Child
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Humans
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Bone Marrow Cells
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CD8-Positive T-Lymphocytes/metabolism*
;
Cell Proliferation
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Cells, Cultured
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Interleukin-2
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Interleukin-6/metabolism*
;
Leukocytes, Mononuclear/metabolism*
;
Lymphocyte Activation
;
Mesenchymal Stem Cells
;
Tumor Necrosis Factor-alpha/metabolism*
7.A single-center study on the distribution and antibiotic resistance of pathogens causing bloodstream infection in patients with hematological malignancies.
Lin Jing CAI ; Xiao Lei WEI ; Yong Qiang WEI ; Xu Tao GUO ; Xue Jie JIANG ; Yu ZHANG ; Guo pan YU ; Min DAI ; Jie Yu YE ; Hong Sheng ZHOU ; Dan XU ; Fen HUANG ; Zhi Ping FAN ; Na XU ; Peng Cheng SHI ; Li XUAN ; Ru FENG ; Xiao Li LIU ; Jing SUN ; Qi Fa LIU
Chinese Journal of Hematology 2023;44(6):479-483
Objective: To study the incidence of bloodstream infections, pathogen distribution, and antibiotic resistance profile in patients with hematological malignancies. Methods: From January 2018 to December 2021, we retrospectively analyzed the clinical characteristics, pathogen distribution, and antibiotic resistance profiles of patients with malignant hematological diseases and bloodstream infections in the Department of Hematology, Nanfang Hospital, Southern Medical University. Results: A total of 582 incidences of bloodstream infections occurred in 22,717 inpatients. From 2018 to 2021, the incidence rates of bloodstream infections were 2.79%, 2.99%, 2.79%, and 2.02%, respectively. Five hundred ninety-nine types of bacteria were recovered from blood cultures, with 487 (81.3%) gram-negative bacteria, such as Klebsiella pneumonia, Escherichia coli, and Pseudomonas aeruginosa. Eighty-one (13.5%) were gram-positive bacteria, primarily Staphylococcus aureus, Staphylococcus epidermidis, and Enterococcus faecium, whereas the remaining 31 (5.2%) were fungi. Enterobacteriaceae resistance to carbapenems, piperacillin/tazobactam, cefoperazone sodium/sulbactam, and tigecycline were 11.0%, 15.3%, 15.4%, and 3.3%, with a descending trend year on year. Non-fermenters tolerated piperacillin/tazobactam, cefoperazone sodium/sulbactam, and quinolones at 29.6%, 13.3%, and 21.7%, respectively. However, only two gram-positive bacteria isolates were shown to be resistant to glycopeptide antibiotics. Conclusions: Bloodstream pathogens in hematological malignancies were broadly dispersed, most of which were gram-negative bacteria. Antibiotic resistance rates vary greatly between species. Our research serves as a valuable resource for the selection of empirical antibiotics.
Humans
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Bacteremia/epidemiology*
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Cefoperazone
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Sulbactam
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Retrospective Studies
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Drug Resistance, Bacterial
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Microbial Sensitivity Tests
;
Hematologic Neoplasms
;
Sepsis
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Anti-Bacterial Agents/pharmacology*
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Gram-Negative Bacteria
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Gram-Positive Bacteria
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Piperacillin, Tazobactam Drug Combination
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Escherichia coli
8.HbA1c comparison and diagnostic efficacy analysis of multi center different glycosylated hemoglobin detection systems.
Ping LI ; Ying WU ; Yan XIE ; Feng CHEN ; Shao qiang CHEN ; Yun Hao LI ; Qing Qing LU ; Jing LI ; Yong Wei LI ; Dong Xu PEI ; Ya Jun CHEN ; Hui CHEN ; Yan LI ; Wei WANG ; Hai WANG ; He Tao YU ; Zhu BA ; De CHENG ; Le Ping NING ; Chang Liang LUO ; Xiao Song QIN ; Jin ZHANG ; Ning WU ; Hui Jun XIE ; Jina Hua PAN ; Jian SHUI ; Jian WANG ; Jun Ping YANG ; Xing Hui LIU ; Feng Xia XU ; Lei YANG ; Li Yi HU ; Qun ZHANG ; Biao LI ; Qing Lin LIU ; Man ZHANG ; Shou Jun SHEN ; Min Min JIANG ; Yong WU ; Jin Wei HU ; Shuang Quan LIU ; Da Yong GU ; Xiao Bing XIE
Chinese Journal of Preventive Medicine 2023;57(7):1047-1058
Objective: Compare and analyze the results of the domestic Lanyi AH600 glycated hemoglobin analyzer and other different detection systems to understand the comparability of the detection results of different detectors, and establish the best cut point of Lanyi AH600 determination of haemoglobin A1c (HbA1c) in the diagnosis of diabetes. Methods: Multi center cohort study was adopted. The clinical laboratory departments of 18 medical institutions independently collected test samples from their respective hospitals from March to April 2022, and independently completed comparative analysis of the evaluated instrument (Lanyi AH600) and the reference instrument HbA1c. The reference instruments include four different brands of glycosylated hemoglobin meters, including Arkray, Bio-Rad, DOSOH, and Huizhong. Scatter plot was used to calculate the correlation between the results of different detection systems, and the regression equation was calculated. The consistency analysis between the results of different detection systems was evaluated by Bland Altman method. Consistency judgment principles: (1) When the 95% limits of agreement (95% LoA) of the measurement difference was within 0.4% HbA1c and the measurement score was≥80 points, the comparison consistency was good; (2) When the measurement difference of 95% LoA exceeded 0.4% HbA1c, and the measurement score was≥80 points, the comparison consistency was relatively good; (3) The measurement score was less than 80 points, the comparison consistency was poor. The difference between the results of different detection systems was tested by paired sample T test or Wilcoxon paired sign rank sum test; The best cut-off point of diabetes was analyzed by receiver operating characteristic curve (ROC). Results: The correlation coefficient R2 of results between Lanyi AH600 and the reference instrument in 16 hospitals is≥0.99; The Bland Altman consistency analysis showed that the difference of 95% LoA in Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180) was -0.486%-0.325%, and the measurement score was 94.6 points (473/500); The difference of 95% LoA in the Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant II) was -0.727%-0.612%, and the measurement score was 89.8 points; The difference of 95% LoA in the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT) was -0.231%-0.461%, and the measurement score was 96.6 points; The difference of 95% LoA in the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT) was -0.469%-0.479%, and the measurement score was 91.9 points. The other 14 hospitals, Lanyi AH600, were compared with 4 reference instrument brands, the difference of 95% LoA was less than 0.4% HbA1c, and the scores were all greater than 95 points. The results of paired sample T test or Wilcoxon paired sign rank sum test showed that there was no statistically significant difference between Lanyi AH600 and the reference instrument Arkray HA8180 (Z=1.665,P=0.096), with no statistical difference. The mean difference between the measured values of the two instruments was 0.004%. The comparison data of Lanyi AH600 and the reference instrument of all other institutions had significant differences (all P<0.001), however, it was necessary to consider whether it was within the clinical acceptable range in combination with the results of the Bland-Altman consistency analysis. The ROC curve of HbA1c detected by Lanyi AH600 in 985 patients with diabetes and 3 423 patients with non-diabetes was analyzed, the area under curve (AUC) was 0.877, the standard error was 0.007, and the 95% confidence interval 95%CI was (0.864, 0.891), which was statistically significant (P<0.001). The maximum value of Youden index was 0.634, and the corresponding HbA1c cut point was 6.235%. The sensitivity and specificity of diabetes diagnosis were 76.2% and 87.2%, respectively. Conclusion: Among the hospitals and instruments currently included in this study, among these four hospitals included Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180), Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant Ⅱ), the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT), and the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT), the comparison between Lanyi AH600 and the reference instruments showed relatively good consistency, while the other 14 hospitals involved four different brands of reference instruments: Arkray, Bio-Rad, DOSOH, and Huizhong, Lanyi AH600 had good consistency with its comparison. The best cut point of the domestic Lanyi AH600 for detecting HbA1c in the diagnosis of diabetes is 6.235%.
Pregnancy
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Child
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Humans
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Female
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Glycated Hemoglobin
;
Cohort Studies
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Diabetes Mellitus/diagnosis*
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Sensitivity and Specificity
;
ROC Curve
9. Treatment advice of small molecule antiviral drugs for elderly COVID-19
Min PAN ; Shuang CHANG ; Xiao-Xia FENG ; Guang-He FEI ; Jia-Bin LI ; Hua WANG ; Du-Juan XU ; Chang-Hui WANG ; Yan SUN ; Xiao-Yun FAN ; Tian-Jing ZHANG ; Wei WEI ; Ling-Ling ZHANG ; Jim LI ; Fei-Hu CHEN ; Xiao-Ming MENG ; Hong-Mei ZHAO ; Min DAI ; Yi XIANG ; Meng-Shu CAO ; Xiao-Yang CHEN ; Xian-Wei YE ; Xiao-Wen HU ; Ling JIANG ; Yong-Zhong WANG ; Hao LIU ; Hai-Tang XIE ; Ping FANG ; Zhen-Dong QIAN ; Chao TANG ; Gang YANG ; Xiao-Bao TENG ; Chao-Xia QIAN ; Guo-Zheng DING
Chinese Pharmacological Bulletin 2023;39(3):425-430
COVID-19 has been prevalent for three years. The virulence of SARS-CoV-2 is weaken as it mutates continuously. However, elderly patients, especially those with underlying diseases, are still at high risk of developing severe infections. With the continuous study of the molecular structure and pathogenic mechanism of SARS-CoV-2, antiviral drugs for COVID-19 have been successively marketed, and these anti-SARS-CoV-2 drugs can effectively reduce the severe rate and mortality of elderly patients. This article reviews the mechanism, clinical medication regimens, drug interactions and adverse reactions of five small molecule antiviral drugs currently approved for marketing in China, so as to provide advice for the clinical rational use of anti-SARS-CoV-2 in the elderly.
10.Overexpression of NAT10 induced platinum drugs resistance in breast cancer cell.
Pan QI ; Ya Ke CHEN ; Rui Li CUI ; Rui Juan HENG ; Sheng XU ; Xiao Ying HE ; Ai Min YUE ; Jiang Kun KANG ; Hao Han LI ; Yong Xin ZHU ; Cong WANG ; Yu Lu CHEN ; Kua HU ; Yan Yan YIN ; Li Xue XUAN ; Yu SONG
Chinese Journal of Oncology 2022;44(6):540-549
Objective: To observe the platinum drugs resistance effect of N-acetyltransferase 10 (NAT10) overexpression in breast cancer cell line and elucidate the underlining mechanisms. Methods: The experiment was divided into wild-type (MCF-7 wild-type cells without any treatment) group, NAT10 overexpression group (H-NAT10 plasmid transfected into MCF-7 cells) and NAT10 knockdown group (SH-NAT10 plasmid transfected into MCF-7 cells). The invasion was detected by Transwell array, the interaction between NAT10 and PARP1 was detected by co-immunoprecipitation. The impact of NAT10 overexpression or knockdown on the acetylation level of PARP1 and its half-life was also determined. Immunostaining and IP array were used to detect the recruitment of DNA damage repair protein by acetylated PARP1. Flow cytometry was used to detect the cell apoptosis. Results: Transwell invasion assay showed that the number of cell invasion was 483.00±46.90 in the NAT10 overexpression group, 469.00±40.50 in the NAT10 knockdown group, and 445.00±35.50 in the MCF-7 wild-type cells, and the differences were not statistically significant (P>0.05). In the presence of 10 μmol/L oxaliplatin, the number of cell invasion was 502.00±45.60 in the NAT10 overexpression group and 105.00±20.50 in the NAT10 knockdown group, both statistically significant (P<0.05) compared with 219.00±31.50 in wild-type cells. In the presence of 10 μmol/L oxaliplatin, NAT10 overexpression enhanced the binding of PARP1 to NAT10 compared with wild-type cells, whereas the use of the NAT10 inhibitor Remodelin inhibited the mutual binding of the two. Overexpression of NAT10 induced PARP1 acetylation followed by increased PARP1 binding to XRCC1, and knockdown of NAT10 expression reduced PARP1 binding to XRCC1. Overexpression of NAT10 enhanced PARP1 binding to LIG3, while knockdown of NAT10 expression decreased PARP1 binding to LIG3. In 10 μmol/L oxaliplatin-treated cells, the γH2AX expression level was 0.38±0.02 in NAT10 overexpressing cells and 1.36±0.15 in NAT10 knockdown cells, both statistically significant (P<0.05) compared with 1.00±0.00 in wild-type cells. In 10 μmol/L oxaliplatin treated cells, the apoptosis rate was (6.54±0.68)% in the NAT10 overexpression group and (12.98±2.54)% in the NAT10 knockdown group, both of which were statistically significant (P<0.05) compared with (9.67±0.37)% in wild-type cells. Conclusion: NAT10 overexpression enhances the binding of NAT10 to PARP1 and promotes the acetylation of PARP1, which in turn prolongs the half-life of PARP1, thus enhancing PARP1 recruitment of DNA damage repair related proteins to the damage sites, promoting DNA damage repair and ultimately the survival of breast cancer cells.
Breast Neoplasms/enzymology*
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Cell Line, Tumor
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Drug Resistance, Neoplasm
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Female
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Humans
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MCF-7 Cells
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N-Terminal Acetyltransferases/metabolism*
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Organoplatinum Compounds/pharmacology*
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Oxaliplatin/pharmacology*
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X-ray Repair Cross Complementing Protein 1

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