1.Relationship between polygenic risk scores for various psychiatric disorders and clinical and neuropsychological characteristics in children with attention-deficit/hyperactivity disorder.
Zhao-Min WU ; Peng WANG ; Chao DONG ; Xiao-Lan CAO ; Lan-Fang HU ; Cong KOU ; Jia-Jing JIANG ; Lin-Lin ZHANG ; Li YANG ; Yu-Feng WANG ; Ying LI ; Bin-Rang YANG
Chinese Journal of Contemporary Pediatrics 2025;27(9):1089-1097
OBJECTIVES:
To investigate the relationship between the polygenic risks for various psychiatric disorders and clinical and neuropsychological characteristics in children with attention-deficit/hyperactivity disorder (ADHD).
METHODS:
Using a cross-sectional design, 285 children with ADHD and 107 healthy controls were assessed using the Child Behavior Checklist, the Behavior Rating Inventory of Executive Function for parents, the Wechsler Intelligence Scale for Children, Fourth Edition, and the Cambridge Neuropsychological Test Automated Battery. Blood samples were collected for genetic data. Polygenic risk scores (PRSs) for various psychiatric disorders were calculated using the PRSice-2 software.
RESULTS:
Compared with the healthy controls, the children with ADHD displayed significantly higher PRSs for ADHD, major depressive disorder, anxiety disorder, and obsessive-compulsive disorder (P<0.05). In terms of daily-life executive function, ADHD-related PRS was significantly correlated with the working memory factor; panic disorder-related PRS was significantly correlated with the initiation factor; bipolar disorder-related PRS was significantly correlated with the shift factor; schizophrenia-related PRS was significantly correlated with the inhibition, emotional control, initiation, working memory, planning, organization, and monitoring factors (P<0.05). The PRS related to anxiety disorders was negatively correlated with total IQ and processing speed index (P<0.05). The PRS related to obsessive-compulsive disorder was negatively correlated with the processing speed index and positively correlated with the stop-signal reaction time index of the stop-signal task (P<0.05).
CONCLUSIONS
PRSs for various psychiatric disorders are closely correlated with the behavioral and cognitive characteristics in children with ADHD, which provides more insights into the heterogeneity of ADHD.
Humans
;
Attention Deficit Disorder with Hyperactivity/genetics*
;
Child
;
Male
;
Female
;
Cross-Sectional Studies
;
Neuropsychological Tests
;
Multifactorial Inheritance
;
Adolescent
;
Mental Disorders/etiology*
;
Executive Function
;
Genetic Risk Score
2.Changing resistance profiles of Haemophilus influenzae and Moraxella catarrhalis isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Hui FAN ; Chunhong SHAO ; Jia WANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Yunsheng CHEN ; Qing MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Wenqi SONG ; Kaizhen WEN ; Yirong ZHANG ; Chuanqing WANG ; Pan FU ; Chao ZHUO ; Danhong SU ; Jiangwei KE ; Shuping ZHOU ; Hua ZHANG ; Fangfang HU ; Mei KANG ; Chao HE ; Hua YU ; Xiangning HUANG ; Yingchun XU ; Xiaojiang ZHANG ; Wenen LIU ; Yanming LI ; Lei ZHU ; Jinhua MENG ; Shifu WANG ; Bin SHAN ; Yan DU ; Wei JIA ; Gang LI ; Jiao FENG ; Ping GONG ; Miao SONG ; Lianhua WEI ; Xin WANG ; Ruizhong WANG ; Hua FANG ; Sufang GUO ; Yanyan WANG ; Dawen GUO ; Jinying ZHAO ; Lixia ZHANG ; Juan MA ; Han SHEN ; Wanqing ZHOU ; Ruyi GUO ; Yan ZHU ; Jinsong WU ; Yuemei LU ; Yuxing NI ; Jingrong SUN ; Xiaobo MA ; Yanqing ZHENG ; Yunsong YU ; Jie LIN ; Ziyong SUN ; Zhongju CHEN ; Zhidong HU ; Jin LI ; Fengbo ZHANG ; Ping JI ; Yunjian HU ; Xiaoman AI ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Xuesong XU ; Chao YAN ; Yi LI ; Shanmei WANG ; Hongqin GU ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Jihong LI ; Bixia YU ; Cunshan KOU ; Jilu SHEN ; Wenhui HUANG ; Xiuli YANG ; Likang ZHU ; Lin JIANG ; Wen HE ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):30-38
Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91%of the total clinical isolates and 4.07%of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89%were isolated from children and 33.11%were isolated from adults.More than 90%of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79%in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06%were isolated from children and 19.94%isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0%.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.
3.Changing resistance profiles of Haemophilus influenzae and Moraxella catarrhalis isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Hui FAN ; Chunhong SHAO ; Jia WANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Yunsheng CHEN ; Qing MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Wenqi SONG ; Kaizhen WEN ; Yirong ZHANG ; Chuanqing WANG ; Pan FU ; Chao ZHUO ; Danhong SU ; Jiangwei KE ; Shuping ZHOU ; Hua ZHANG ; Fangfang HU ; Mei KANG ; Chao HE ; Hua YU ; Xiangning HUANG ; Yingchun XU ; Xiaojiang ZHANG ; Wenen LIU ; Yanming LI ; Lei ZHU ; Jinhua MENG ; Shifu WANG ; Bin SHAN ; Yan DU ; Wei JIA ; Gang LI ; Jiao FENG ; Ping GONG ; Miao SONG ; Lianhua WEI ; Xin WANG ; Ruizhong WANG ; Hua FANG ; Sufang GUO ; Yanyan WANG ; Dawen GUO ; Jinying ZHAO ; Lixia ZHANG ; Juan MA ; Han SHEN ; Wanqing ZHOU ; Ruyi GUO ; Yan ZHU ; Jinsong WU ; Yuemei LU ; Yuxing NI ; Jingrong SUN ; Xiaobo MA ; Yanqing ZHENG ; Yunsong YU ; Jie LIN ; Ziyong SUN ; Zhongju CHEN ; Zhidong HU ; Jin LI ; Fengbo ZHANG ; Ping JI ; Yunjian HU ; Xiaoman AI ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Xuesong XU ; Chao YAN ; Yi LI ; Shanmei WANG ; Hongqin GU ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Jihong LI ; Bixia YU ; Cunshan KOU ; Jilu SHEN ; Wenhui HUANG ; Xiuli YANG ; Likang ZHU ; Lin JIANG ; Wen HE ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):30-38
Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91%of the total clinical isolates and 4.07%of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89%were isolated from children and 33.11%were isolated from adults.More than 90%of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79%in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06%were isolated from children and 19.94%isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0%.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.
4.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.
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.Thoughts and suggestions on co-administration of seasonal influenza vaccine and COVID-19 vaccine.
Zeng Qiang KOU ; Li Jun LIU ; Chang Sha XU ; Hong Ting ZHAO ; Zhao Nan ZHANG ; Xiao Kun YANG ; Zhi Bin PENG ; Lu Zhao FENG ; Ai Qiang XU ; Da Yan WANG ; Zhi Ping CHEN ; Jian Dong ZHENG ; Zi Jian FENG ; Wen Zhou YU
Chinese Journal of Preventive Medicine 2022;56(10):1395-1400
In the context of the global pandemic of COVID-19, the epidemic intensity, epidemic characteristics and infection risk of influenza have presented new features. COVID-19 and influenza have simultaneously emerged in many regions of the world. COVID-19 and influenza are similar in terms of transmission mode, clinical symptoms and other aspects. There are also similarities in the mechanism of influenza virus and novel coronavirus on cells. At the same time, it is feasible and significant to do a good job in the prevention and control of COVID-19 and influenza. This paper discusses the relevant strategies and measures for the joint prevention and control of influenza and novel coronavirus from the aspects of influenza vaccination to prevent co-infection, simultaneous vaccination of influenza vaccine and novel coronavirus vaccine, etc., and puts forward corresponding thoughts and suggestions, in order to provide scientific support for the formulation of strategies on seasonal influenza vaccine and novel coronavirus vaccination.
Humans
;
Influenza Vaccines
;
Influenza, Human/epidemiology*
;
COVID-19 Vaccines
;
COVID-19/prevention & control*
;
Seasons
;
Vaccination
;
SARS-CoV-2
7.Surveillance of drug resistance of clinically isolated fungi strains from 46 hospitals in Shandong Province
Linna KOU ; Chunyan ZHANG ; Zheng LI ; Bin JI ; Sijin MAN ; Maoli YI ; Renzhe LI ; Mingyan SUN ; Yuanqi ZHU ; Jiliang WANG ; Mingju HAO ; Chengjie GUO ; Jing LI ; Wenwen YU ; Zhongtao GAI ; Shifu WANG
Chinese Journal of Clinical Infectious Diseases 2021;14(1):46-53,80
Objective:To analyze the distribution of clinically isolated fungal strains and their resistance to common antifungal drugs in Shandong province.Methods:Through the Shandong Children’s Bacterial & Fungal Drug Resistance Surveillance and Research Collaborative Network, a total of 1 030 fungi were collected in 46 hospitals of Shandong province from January 1 to December 31, 2018. The source and type of strains were analyzed, and antifungal drug sensitivity tests were performed by using the micro-dilution method. Whonet 5.6 and SPSS 22.0 were applied to analyze the data.Results:The overall main strains were Candida albicans (38.74%, 399/1 030), Candida tropicalis (16.99%, 175/1 030) and Candida parapsilosis (16.41%, 169/1 030); the main fungi strains in child patients were C. albicans (52.50%, 63/120), C. parapsilosis (12.50%, 15/120) and C. tropicalis (9.17%, 11/120); the main fungi strains in adult patients were C. albicans (36.37%, 331/910), C. tropicalis (17.03%, 155/910) and C. parapsilosis (15.27%, 139/910). The isolation rate of main Candida strains from January to March and August to December was much higher than that of other months. The drug resistance rates of C. albicans to fluconazole and voriconazole were 7.14% and 7.43%, respectively, and the drug resistance rates to itraconazole were 50.44%. The resistance rates of C. tropicalis to fluconazole, voriconazole and itraconazole were 29.05%, 23.29% and 48.65%, respectively. The sensitivity rates of C. parapsilosi to fluconazole, voriconazole and itraconazole were 93.06%, 93.75% and 94.44%, respectively. Candida glabrata showed a dose-dependent sensitivity rate of 2.33% to fluconazole. Analysis of 244 blood fungi strains showed that non-candida albicans bacteremia accounted for 70.08%. In the pathogen spectrum covering 92.22%, fluconazole was sensitive to 64.65% of the pathogens, voriconazole was 68.88%, and amphotericin B was 88.75%. After quantification, the effective rates of fluconazole, voriconazole and amphotericin B in the clinical treatment of fungal bacteremia were 70.10%, 74.69% and 96.23%, respectively. Among them, the sensitivity rate of voriconazole to C. tropicalis was lower than that of fluconazole. Conclusions:Candida is the main clinical fungus isolates in hospitals of Shandong province. The resistance rate of C. tropicalis to azole antifungal drugs is on the rise, and the sensitivity of other Candida species to clinically used antifungal drugs is basically stable.
8.Expression Pattern of Apolipoprotein J in Rat's Model of Carotid Artery Restenosis
Ning YANG ; Bin SU ; Lu KOU ; Bo DONG ; Yang LI ; yu Jing YANG ; Qin QIN
Chinese Circulation Journal 2017;32(12):1222-1226
Objective: To study the expression pattern of apolipoprotein J (Apo J) in rat's model of vascular restenosis after cartid balloon dilation. Methods: A total of 40 Wistar rats were randomly divided into 2 groups: Experimental group, the rat's model of carotid artery injury was established by 2 F Fogarty balloon catheter scratching in right carotid artery and Control group, the rats received sham operation without catheter scratching. n=20 in each group. Right carotid artery tissue was taken at 1, 2, 3, 4 weeks after the operation respectively and 5 rats were used for each time point. The morphological changes were measured by HE staining, protein and gene expressions of Apo J were examined by immunohistochemistry and qRT-PCR. Results: Compared with Control group, at each time point Experimental group had obvious intimal hyperplasia and up-regulated protein and gene expressions of Apo J, P<0.05. In Experimental group, with prolonged time of injury, consistent endometrial hyperplasia was observed and it reached the maximum at 4 weeks after operation; the peak protein and gene expressions of Apo J was found at 3 weeks after operation, then decreased at certain point at 4 weeks after operation, P<0.05. Conclusion: Apo J might be closely related to intimal hyperplasia after vascular injury, high expression of vascular Apo J was mainly derived from vascular smooth muscle cell synthesis, it could be a kind of compensation with protective role and might be used as a new biological target for treating vascular retenosis after percutaneous coronary intervention.
9.Effect of chondroitin sulfate enzyme ABC on glial scar in brain injury models
Yi-Yu HONG ; Ye-Hai LI ; Sheng-Bin KOU ; Mou-Xuan DU ; Xiao-Dan JIANG
Chinese Journal of Neuromedicine 2011;10(6):609-613
Objective To explore the effect of chondroitin sulfate enzyme ABC (chABC) on glial scar in rat models of brain traumatic injury (TBI). Methods Thirty-eight Wistar rats were randomly divided into 5 groups, including normal control group (n=2), model group (rat models of TBI,n=9), 1.0 U/mL chABC treatment group (n=9), 2.5 U/ml chABC treatment group (n=9) and 5.0 U/ml chABC treatment group (n=9). After performing TBI by free falling in the later 4 groups, rats of the model group were given no treatment, while those of the other 3 groups were administrated with different concentrations of chABC by local injection respectively. One, 2 and 4 w after TBI, HE staining was performed on the brain tissues of these rat models;and immunohistochemical assay and Western blotting were employed to evaluate the secreting of chondroitin sulfate proteoglycans (CSPGs) and the therapeutic effect of chABC on glial scar. Data were statistically analyzed using t-test. Results Pathological test revealed the scars in the treatment groups were significantly fewer than those in the model group 2 w after TBI, with 5.0 U/mL chABC treatment group enjoying the fewest level (P<0.05). Immunohistochemical assay showed that the secreting of CSPGs in the treatment groups and model group was significantly increased than that in normal control group 2 w after TBI (P<0.05);the 5.0 U/ml chABC treatment group showed an obvious reduction of CSPGs secreting as compared with the model group (P<0.05). Western blotting indicated that the treatment groups showed an obvious reduction of CSPGs secreting as compared with the model group 1, 2 and 4 w after TBI (P<0.05);an obvious gradual reduction of CSPGs secreting in the model group, 2.5 and 5.0 U/ml chABC treatment groups was noted 1, 2 and 4 w after TBI (P<0.05). Conclusion ChABC could degrade the glial scar by degrading the CSPGs molecules and improve the microenvironment of local axonal regeneration after TBI;In this experiment, the highest concentration of chABC (5U/ml) shows the best effect on removing the glial scar.
10.Immunogenicity of recombinant DNA vaccine that coded for the neurite growth inhibitors
Sheng-Bin KOU ; Xiao-Dan JIANG ; Yan-Ping TANG ; Ying-Qian CAI ; Mou-Xuan DU ; Ling-Sha QIN ; Yu-Xi ZOU ; Ru-Xiang XU
Chinese Journal of Neuromedicine 2010;9(5):433-436
Objective To detect the immunogenicity of the recombinant DNA vaccine that encoded for neurite growth inhibitors: Nogo-A, oligodendrocyte myelin glycoprotein (OMgp), tenascin-R (TN-R) and myelin-associated glycoprotein (MAG) after the nerve injury under the help of pAdEasy, a kind of adenovirus plasmid being the vector of the DNA. Methods Sixteen 5-w-old Lewis rats were randomized into DNA vaccination group (vaccine group) and pAdEasy group. Rats in the vaccine group were immunized once weekly for a consecutive 8 w by bilateral injection of the recombinant plasmid into the musculus tibialis. The immunized animals in the 2 groups were exsanguinated each time before the vaccination for sera collection, and the qualitation and quantitation of the antibodies in the serum were detected by Dot-blot analysis and ELISA. Results The vaccine group could produce fusion-protein antibodies against Nogo-A, MAG, OMgp and TN-R at the 6th w of vaccine injection, while pAdEasy group could not. The valency of antiserum was shown by ELISA as 1:1 000 000 at the 6th w of vaccine injection and kept this level stably. Conclusion The DNA vaccine exclusively induces the generation of the fusion-protein antibodies against Nogo-A, MAG, OMgp and TN-R in vivo, which controls the favorable immunogenicity.

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