1.The Mesencephalic Locomotor Region for Locomotion Control
Xing-Chen GUO ; Yan XIE ; Xin-Shuo WEI ; Wen-Fen LI ; Ying-Yu SUN
Progress in Biochemistry and Biophysics 2025;52(7):1804-1816
Locomotion, a fundamental motor function encompassing various forms such as swimming, walking, running, and flying, is essential for animal survival and adaptation. The mesencephalic locomotor region (MLR), located at the midbrain-hindbrain junction, is a conserved brain area critical for controlling locomotion. This review highlights recent advances in understanding the MLR’s structure and function across species, from lampreys to mammals and birds, with a particular focus on insights gained from optogenetic studies in mammals. The goal is to uncover universal strategies for MLR-mediated locomotor control. Electrical stimulation of the MLR in species such as lampreys, salamanders, cats, and mice initiates locomotion and modulates speed and patterns. For example, in lampreys, MLR stimulation induces swimming, with increased intensity or frequency enhancing propulsive force. Similarly, in salamanders, graded stimulation transitions locomotor outputs from walking to swimming. Histochemical studies reveal that effective MLR stimulation sites colocalize with cholinergic neurons, suggesting a conserved neurochemical basis for locomotion control. In mammals, the MLR comprises two key nuclei: the cuneiform nucleus (CnF) and the pedunculopontine nucleus (PPN). Both nuclei contain glutamatergic and GABAergic neurons, with the PPN additionally housing cholinergic neurons. Optogenetic studies in mice by selectively activating glutamatergic neurons have demonstrated that the CnF and PPN play distinct roles in motor control: the CnF drives rapid escape behaviors, while the PPN regulates slower, exploratory movements. This functional specialization within the MLR allows animals to adapt their locomotion patterns and speed in response to environmental demands and behavioral objectives. Similar to findings in lampreys, the CnF and PPN in mice transmit motor commands to spinal effector circuits by modulating the activity of brainstem reticular formation neurons. However, they achieve this through distinct reticulospinal pathways, enabling the generation of specific behaviors. Further insights from monosynaptic rabies viral tracing reveal that the CnF and PPN integrate inputs from diverse brain regions to produce context-appropriate behaviors. For instance, glutamatergic neurons in the PPN receive signals from other midbrain structures, the basal ganglia, and medullary nuclei, whereas glutamatergic neurons in the CnF rarely receive inputs from the basal ganglia but instead are strongly influenced by the periaqueductal grey and inferior colliculus within the midbrain. These differential connectivity patterns underscore the specialized roles of the CnF and PPN in motor control, highlighting their unique contributions to coordinating locomotion. Birds exhibit exceptional flight capabilities, yet the avian MLR remains poorly understood. Comparative studies suggest that the pedunculopontine tegmental nucleus (PPTg) in birds is homologous to the mammalian PPN, which contains cholinergic neurons, while the intercollicular nucleus (ICo) or nucleus isthmi pars magnocellularis (ImC) may correspond to the CnF. These findings provide important clues for identifying the avian MLR and elucidating its role in flight control. However, functional validation through targeted experiments is urgently needed to confirm these hypotheses. Optogenetics and other advanced techniques in mice have greatly advanced MLR research, enabling precise manipulation of specific neuronal populations. Future studies should extend these methods to other species, particularly birds, to explore unique locomotor adaptations. Comparative analyses of MLR structure and function across species will deepen our understanding of the conserved and evolved features of motor control, revealing fundamental principles of locomotion regulation throughout evolution. By integrating findings from diverse species, we can uncover how the MLR has been adapted to meet the locomotor demands of different environments, from aquatic to aerial habitats.
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.Implement quality control circle activities to improve customer satisfaction
Yaoxing LI ; Cuidi LI ; Fen ZHANG ; Min TANG ; Wei YAN ; Puxian XIE ; Youlan XI ; Jiaxin WANG ; Yunhui WANG ; Haibo MA ; Chaodong ZHANG ; Jiyan DENG ; Yamei YU ; Qunhua MU
Modern Hospital 2024;24(3):391-394
Objective To study the application effect of quality control circle(QCC)in reducing the dissatisfaction rate of physical examination clients in health management center.Methods To establish QCC,selected the health check-up popula-tion in our hospital in September-2019 and March-2020,through the questionnaire investigation and analysis,compare the dis-satisfaction of the clients before and after the quality control circle.Results After carrying out QCC activities,the dissatisfaction of physical examination clients was significantly lower than that before QCC,and the difference was statistically significant(P<0.05).Conclusion The activities of QCC in the health management center can effectively improve the quality of the physical examination work and reduce the dissatisfaction of the customers in the physical examination.It is of great significance to the health management.
4.Causal Relationship Between Serum Micronutrients and Coronary Atherosclerosis:a Two-sample Multivariable Bidirectional Mendelian Randomization Study
Chang LIU ; Qian XIE ; Xing ZHANG ; Chongyang ZHANG ; Wei JI ; Binbin FANG ; Fen LIU ; Yining YANG ; Xiaomei LI
Chinese Circulation Journal 2024;39(12):1183-1189
Objectives:A two-sample,multivariable,bidirectional Mendelian randomization (MR) analysis was conducted to explore the causal relationships between serum micronutrients (including vitamin A,vitamin B6,vitamin B9,vitamin B12,vitamin C,vitamin D,vitamin E,copper,iron,selenium,zinc,calcium,magnesium,and potassium) and coronary atherosclerosis (CA).Methods:Publicly available data from genome-wide association studies in European populations were analyzed,14 serum micronutrients were used as exposure factors and single nucleotide polymorphisms (SNPs) were used as instrumental variables,outcome was defined as CA.A two-sample MR analysis was performed using inverse variance weighted (IVW) method,MR-Egger regression,weighted median estimator (WME),simple model,and weighted model to assess the relationship between each micronutrient and CA.Multivariable MR analysis was used to evaluate the independent impacts of single exposure factors on CA,reverse MR was applied to assess the potential for reverse causality.Sensitivity analysis was conducted using Cochran's Q test,MR-Egger regression,MR-PRESSO,and leave-one-out analysis to evaluate the robustness of the results.Results:The univariable two-sample MR study evidenced the significant associations between serum levels of vitamin A (IVW:OR=0.019,95%CI:0.001-0.451,P=0.014),vitamin B12 (IVW:OR=1.221,95%CI:1.015-1.469,P=0.034),copper (IVW:OR=1.023,95%CI:1.003-1.044,P=0.026),and potassium (IVW:OR=0.837,95%CI:0.714-0.980,P=0.027) with the risk of CA.After adjustment using multivariable MR analysis,independent causal effects on CA were observed for serum levels of vitamin A (IVW:OR=0.016,95%CI:0.001-0.214,P=0.002) and copper (IVW:OR=1.029,95%CI:1.002-1.056,P=0.036).Reverse MR analysis observed a reverse causal relationship between CA risk and serum vitamin A level,though the effect was minimal (IVW:OR=0.999),while no reverse causality was found between CA risk and serum copper level.There was no evidence to support a causal relationship between the remaining serum micronutrients and CA.These findings were robust through extensive sensitivity analyses.Conclusions:The levels of serum vitamin A and copper may relate to the susceptibility of CA in the studied population.
5.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.
6.Causal Relationship Between Serum Micronutrients and Coronary Atherosclerosis:a Two-sample Multivariable Bidirectional Mendelian Randomization Study
Chang LIU ; Qian XIE ; Xing ZHANG ; Chongyang ZHANG ; Wei JI ; Binbin FANG ; Fen LIU ; Yining YANG ; Xiaomei LI
Chinese Circulation Journal 2024;39(12):1183-1189
Objectives:A two-sample,multivariable,bidirectional Mendelian randomization (MR) analysis was conducted to explore the causal relationships between serum micronutrients (including vitamin A,vitamin B6,vitamin B9,vitamin B12,vitamin C,vitamin D,vitamin E,copper,iron,selenium,zinc,calcium,magnesium,and potassium) and coronary atherosclerosis (CA).Methods:Publicly available data from genome-wide association studies in European populations were analyzed,14 serum micronutrients were used as exposure factors and single nucleotide polymorphisms (SNPs) were used as instrumental variables,outcome was defined as CA.A two-sample MR analysis was performed using inverse variance weighted (IVW) method,MR-Egger regression,weighted median estimator (WME),simple model,and weighted model to assess the relationship between each micronutrient and CA.Multivariable MR analysis was used to evaluate the independent impacts of single exposure factors on CA,reverse MR was applied to assess the potential for reverse causality.Sensitivity analysis was conducted using Cochran's Q test,MR-Egger regression,MR-PRESSO,and leave-one-out analysis to evaluate the robustness of the results.Results:The univariable two-sample MR study evidenced the significant associations between serum levels of vitamin A (IVW:OR=0.019,95%CI:0.001-0.451,P=0.014),vitamin B12 (IVW:OR=1.221,95%CI:1.015-1.469,P=0.034),copper (IVW:OR=1.023,95%CI:1.003-1.044,P=0.026),and potassium (IVW:OR=0.837,95%CI:0.714-0.980,P=0.027) with the risk of CA.After adjustment using multivariable MR analysis,independent causal effects on CA were observed for serum levels of vitamin A (IVW:OR=0.016,95%CI:0.001-0.214,P=0.002) and copper (IVW:OR=1.029,95%CI:1.002-1.056,P=0.036).Reverse MR analysis observed a reverse causal relationship between CA risk and serum vitamin A level,though the effect was minimal (IVW:OR=0.999),while no reverse causality was found between CA risk and serum copper level.There was no evidence to support a causal relationship between the remaining serum micronutrients and CA.These findings were robust through extensive sensitivity analyses.Conclusions:The levels of serum vitamin A and copper may relate to the susceptibility of CA in the studied population.
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.
8.Analysis and evaluation on Paeoniae Radix Alba from different cultivars by UPLC-Q-TOF-MS and HPLC.
Shuang YANG ; Qian-Qian DU ; Qian-Xia YUE ; Ye-Fen SUN ; Chuan-Shan JIN ; Wei ZHANG ; Lei MA ; Cong-Bin LIU ; Dong-Mei XIE
China Journal of Chinese Materia Medica 2023;48(3):715-724
In this study, an established ultra-high performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry(UPLC-Q-TOF-MS) method was combined with multivariate statistical analysis to investigate the commonality and difference of main chemical components in the medicinal parts of Paeonia lactiflora from different cultivars; in addition, a high performance liquid chromatography(HPLC) method was established to simultaneously determine the content of eight active components in Paeoniae Radix Alba. Non-targeted analysis was carried out by UPLC-Q-TOF-MS on a Waters ACQUITY UPLC BEH C_(18)(2.1 mm×100 mm, 1.7 μm) column with a gradient elution of 0.1% aqueous formic acid(A)-acetonitrile(B) as the mobile phase at a flow rate of 0.2 mL·min~(-1). The column temperature was 30 ℃, and an electrospray ionization source was used to acquire mass spectrometry data in positive and negative ion modes. According to the accurate molecular weight and fragment ion information provided by multi-stage mass spectrometry and by comparison with reference substances and literature reports, thirty-six identical components were identified in Paeoniae Radix Alba from different cultivars with positive and negative ion modes. In the negative ion mode, two groups of samples were well separated; specifically, seventeen components with significant differences in content were screened and identified, and one component unique in "Bobaishao" was obtained. Quantitative analysis was conducted by high-performance liquid chromatography(HPLC) on an Agilent HC-C_(18)(4.6 mm×250 mm, 5 μm) column with a gradient elution of 0.1% aqueous phosphoric acid(A)-acetonitrile(B) as the mobile phase at a flow rate of 1.0 mL·min~(-1). The column temperature was 30 ℃ and the detection wavelength was at 230 nm. An HPLC method was developed for the simultaneous determination of eight active components(gallic acid, oxypaeoniflorin, catechin, albiflorin, paeoniflorin, galloylpaeoniflorin, 1,2,3,4,6-O-pentagalloylglucose, benzoyl-paeoniflorin) in Paeoniae Radix Albaa from different cultivars. Satisfactory linearity was achieved within the investigated linear ranges and with fine coefficients(r>0.999 0), and the methodological investigation showed that the method had good precision, repeatability and stability. The mean recoveries were 90.61% to 101.7% with RSD of 0.12% to 3.6%(n=6). UPLC-Q-OF-MS provided a rapid and efficient qualitative analytical method for the identification of the chemical components in Paeoniae Radix Alba, and the developed HPLC method was simple, rapid and accurate, which could provide a scientific basis for the evaluation of the germplasm resources and herbal quality of Paeoniae Radix Alba from different cultivars.
Chromatography, High Pressure Liquid
;
Paeonia
;
Acetonitriles
9.Development and clinical application of the health education knowledge assessment questionnaire for gout.
Xiao Wei XIE ; Fen LI ; Guang Hui LING ; Xi XIE ; Su Qing XU ; Yi Yue CHEN
Journal of Peking University(Health Sciences) 2022;54(4):699-704
OBJECTIVE:
To develop and test the health education knowledge assessment questionnaire for gout and to investigate the understanding degree of health education knowledge in patients with gout.
METHODS:
From June 2019 to June 2019, 150 cases of gout patients were enrolled.According to the literature review and the healthy education requirements of gout patients, the framework of education knowledge system was preliminarily formed.The pre-test questionnaire was obtained through two rounds of he Delphi technique.A survey of 150 patients with gout was carried out.The analysis and selection of the questionnaire were based on the coefficient of variation, the analysis of determination value, the correlation coefficient of the items and the total scores, and the exploratory factor analysis.In this study, we evaluated the reliability of internal consistency, semi-reliability.Validity test mainly included content validity and construct validity.In addition, a total of 150 patients with gout in our hospital and outpatient gout were selected to investigate the understanding degree of health education knowledge from June 2019 to December 2019.
RESULTS:
The significance of the first level index of the questionnaire was 3.83-5.00, the secondary index was 3.00-4.83, and the variation coefficient of each item was 0.31-1.23, and the critical ratio(CR) value of each item in this questionnaire was 3.168-8.333.The Pearson correlation coefficient of each item and the total score of this study was 0.319-0.544.After exploratory factor analysis, some topics were deleted in four dimensions, and there were 16 entries in the final questionnaire.Cronbach' s α coefficient of this questionnaire was 0.715, split-half reliability Spearman-Brown coefficient was 0.785, and retest reliability coefficient was 0.729. The correlation coefficient between each factor of this questionnaire and the total questionnaire was 0.300-0.701, and the correlation coefficient between each item of the questionnaire and each factor was 0.402-0.732, all P < 0.05. The results were statistically significant. By questionnaire investigation, the total score of questionnaire was (6.85±3.22), the score of disease-related knowledge was (2.03±1.24), the score of dietary guidance was (1.53± 1.06), the score of exercise guidance was (2.19±1.24), the score of medication guide was (1.24±1.22).
CONCLUSION
The Health Education Knowledge Assessment Questionnaire For Gout has a good reliability and validity for measuring related content, the compilation process is scientific and the content is comprehensive, which can be further applied in clinic.The understanding degree of health education knowledge is low in Chinese patients with gout, and knowledge of gout medicine is lacking especially.
Factor Analysis, Statistical
;
Gout/diagnosis*
;
Health Education
;
Humans
;
Psychometrics/methods*
;
Reproducibility of Results
;
Surveys and Questionnaires
10.Maternal Perfluorinated Compound Exposure and Risk of Early Pregnancy Loss: A Nested Case-control Study.
Xin MI ; Shi Qi LIN ; Xiao Fen ZHANG ; Jia Jia LI ; Li Jun PEI ; Feng JIN ; Qi LIAO ; Li Min XIE ; Li Cong WEI ; Chan Juan HAO ; Ya Wei ZHANG ; Wei LI
Biomedical and Environmental Sciences 2022;35(2):174-179

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