1.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.
2.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.
3.Effects of Maxing Shigan decoction on lung tissue damage in cough variant asthma rats
Qian YANG ; Qin-guo SUN ; Bo JIANG ; Wei HUANG ; Chan LI ; Kun LÜ ; Hong-yan WANG
The Chinese Journal of Clinical Pharmacology 2024;40(21):3130-3135
Objective To investigate the impact of Maxing Shigan decoction on lung tissue damage in cough variant asthma(CVA)rats by regulating the Notch1/Jagged1 signaling pathway.Methods The CVA rat model was established by ovalbumin+aluminum hydroxide sensitization method.After successful modeling,the rats were randomly divided into control group(conventional feeding),model group(4%ovalbumin 0.5 mL+2%aluminum hydroxide 0.2 mL),combined group(on the basis of the model group,16 g·kg-1 Maxing Shigan decoction and 200 mg·kg-1 Jagged1 were added respectively)and experimental-L,experimental-M,experimental-H groups(on the basis of the model group,4,8 and 16 g·kg-1 Maxing Shigan decoction were added respectively),with 15 rats in each group.The cough frequency and histopathological changes of the lung tissue were observed,and the expression level of Notch1 and Jagged1 protein were detected by Western blot.Results The coughing times of rats in control group,model group,experiment-L group,experiment-M group,experiment-H group and combined group were(2.04±0.08),(9.21±0.82),(7.38±0.60),(5.44±0.42),(3.14±0.32)and(7.88±0.65)times,respectively;the number of goblet cells in lung tissue was 13.65±1.24,59.66±5.54,47.21±4.12,34.58±3.01,23.54±2.06 and 39.25±3.68,respectively;the relative expression levels of Notch1 protein were 0.42±0.03,1.16±0.09,0.97±0.09,0.76±0.07,0.59±0.05 and 0.89±0.07,respectively;the relative expression levels of of Jagged1 protein were 0.36±0.03,1.09±0.04,0.92±0.09,0.70±0.07,0.46±0.04 and 0.79±0.07,respectively.The above indexes of the model group were compared with those of the control group,the experimental-L group,the experimental-M group and the experimental-H group,and the above indexes of the combined group were compared with those of the experimental-H group,and the differences were statistically significant(all P<0.05).Conclusion Maxing Shigan decoction may improve lung tissue damage in CVA rats by inhibiting the activation of Notch1/Jagged1 signaling pathway.
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.Effects of Maxing Shigan decoction on lung tissue damage in cough variant asthma rats
Qian YANG ; Qin-guo SUN ; Bo JIANG ; Wei HUANG ; Chan LI ; Kun LÜ ; Hong-yan WANG
The Chinese Journal of Clinical Pharmacology 2024;40(21):3130-3135
Objective To investigate the impact of Maxing Shigan decoction on lung tissue damage in cough variant asthma(CVA)rats by regulating the Notch1/Jagged1 signaling pathway.Methods The CVA rat model was established by ovalbumin+aluminum hydroxide sensitization method.After successful modeling,the rats were randomly divided into control group(conventional feeding),model group(4%ovalbumin 0.5 mL+2%aluminum hydroxide 0.2 mL),combined group(on the basis of the model group,16 g·kg-1 Maxing Shigan decoction and 200 mg·kg-1 Jagged1 were added respectively)and experimental-L,experimental-M,experimental-H groups(on the basis of the model group,4,8 and 16 g·kg-1 Maxing Shigan decoction were added respectively),with 15 rats in each group.The cough frequency and histopathological changes of the lung tissue were observed,and the expression level of Notch1 and Jagged1 protein were detected by Western blot.Results The coughing times of rats in control group,model group,experiment-L group,experiment-M group,experiment-H group and combined group were(2.04±0.08),(9.21±0.82),(7.38±0.60),(5.44±0.42),(3.14±0.32)and(7.88±0.65)times,respectively;the number of goblet cells in lung tissue was 13.65±1.24,59.66±5.54,47.21±4.12,34.58±3.01,23.54±2.06 and 39.25±3.68,respectively;the relative expression levels of Notch1 protein were 0.42±0.03,1.16±0.09,0.97±0.09,0.76±0.07,0.59±0.05 and 0.89±0.07,respectively;the relative expression levels of of Jagged1 protein were 0.36±0.03,1.09±0.04,0.92±0.09,0.70±0.07,0.46±0.04 and 0.79±0.07,respectively.The above indexes of the model group were compared with those of the control group,the experimental-L group,the experimental-M group and the experimental-H group,and the above indexes of the combined group were compared with those of the experimental-H group,and the differences were statistically significant(all P<0.05).Conclusion Maxing Shigan decoction may improve lung tissue damage in CVA rats by inhibiting the activation of Notch1/Jagged1 signaling pathway.
6.Short-term voluntary exercise enhances the activation of endogenous neural stem cells inintracerebral hemorrhage mice with hyperlipidemia
Xiaoxuan HU ; Qian LIU ; Tongzhuo WANG ; Meiqi SUN ; Zixuan ZHANG ; Pengyu HUANG ; Yujia LUO ; Si WANG ; Haixia LÜ
Journal of Xi'an Jiaotong University(Medical Sciences) 2023;44(3):396-402
【Objective】 To investigate the improvement of motor function recovery and the activation of endogenous neural stem cells (eNSCs) via voluntary exercise in mice with hyperlipidemia after intracerebral hemorrhage (ICH). 【Methods】 Four-month-old male Nestin-CreERT2: tdTomato transgenic mice were fed with high-fat diet (HFD) for eight weeks. Type Ⅳ collagenase was micro-injected into the corpus striatum to construct mouse ICH model with the help of stereotaxic apparatus. Voluntary exercise (wheel running) was initiated on the second day after ICH and monitored daily for seven days. Neurological severity score (NSS) and beam walking test were applied to evaluate motor function and coordination. Liver and brain tissues were collected at day 9 after ICH and sliced for staining. Then the Nestin-labeled cells, Ki67+, and doublecortin (DCX)+ in subventricular zone (SVZ) were counted to evaluate eNSCs activation. 【Results】 ① Compared with those of mice fed by chow diet (CD), the body weight, blood glucose level, concentration of lipid metabolism factors and the number of Nile Red positive cells in liver tissue were significantly higher in HFD-fed mice, confirming hyperlipidemia. ② Compared with the sham group, NSS score increased and the distance of cross-beam walking of ICH mice significantly decreased, showing the deficiency of motor function. It could be rescued by 7-day wheel running, as shown by a lower NSS score and a longer cross-beam walking distance. ③ Compared with the sham group, the number of Nestin+/Ki67+ cells decreased and Nestin+/DCX+ cells increased after ICH. After 7-day voluntary exercise, the number of Nestin+/Ki67+ cells decreased but that of Nestin+/DCX+ cells further increased significantly. However, compared with ICH, the increase of Nestin+/DCX+ cells in ICH+Ex was not significant. 【Conclusion】 Short-term voluntary exercise during the acute stage of ICH improved the recovery of motor function and enhance the proliferation of eNSCs in mice with hyperlipidemia. This provides a new idea for further developing ICH accelerated rehabilitation strategy based on eNSCs.
7.Survey of Oncomelania hupensis in national schistosomiasis surveillance sites of Guangxi Zhuang Autonomous Region from 2015 to 2019
Wen-Qian TANG ; Keng-Ling HUANG ; Yun-Liang SHI ; Guo-Li LÜ ; Wei-Wei ZHANG ; Shan LÜ ; Jian LIU ; Wen-Jie HUANG ; Zhi-Hua JIANG
Chinese Journal of Schistosomiasis Control 2021;33(2):205-208
Objective To investigate the distribution characteristics of Oncomelania hupensis in Guangxi Zhuang Autonomous Region, so as to provide insights into the assessment of the risk of schistosomiasis transmission and the scientific formulation of the schistosomiasis surveillance strategy. Methods From 2015 to 2019, a total of 19 national schistosomiasis surveillance sites were assigned in Guangxi Zhuang Autonomous Region, including 4 fixed sites and 15 mobile sites. Snail survey was performed by means of systematic sampling in combination with environmental sampling, and the infection of Schistosoma japonicum was detected by the crushing method combined with loop-mediated isothermal amplification (LAMP) assay. Results From 2015 to 2019, snail habitats were detected at areas of 17 040 to 39 527 m2, including 6 214 m2 emerging snail habitats and 16 563 m2 re-emerging snail habitats. The overall mean density of living snails was 0.019 2 snails/0.1 m2 and the occurrence of frames with snails was 1.11% in the national schistosomiasis surveillance sites; however, no S. japonicum infection was identified in snails. The area of snail habitats increased by 121.46% in the national surveillance sites in 2019 as compared to that in 2015; however, 50.34% (Z = −0.422, P > 0.05) and 42.85% (χ2 = 130.41, P < 0.01) reductions were seen in the overall means density of living snails and the occurrence of frames with snails. All snail habitats were distributed in the 4 fixed surveillance sites, and were mainly found in ditches, paddy fields and dry lands, with weeds as the primary vegetation type. Conclusions There are still risk factors leading to re-emergent transmission of schistosomiasis in Guangxi Zhuang Autonomous Region, such as local snail spread, and the monitoring of schistosomiasis remains to be reinforced to further consolidate the achievements of schistosomiasis elimination in the region.
8.Advance in Repetitive Transcranial Magnetic Stimulation for Alzheimer's Disease (review)
Na-yan HUANG ; Lu-ping SONG ; Zhi-qian TONG ; Cui-bai WEI ; Ji-hui LÜ
Chinese Journal of Rehabilitation Theory and Practice 2019;25(3):261-266
Repetitive transcranial magnetic stimulation (rTMS), a noninvasive and painless brain stimulation technique, can improve cognition and alleviate behavioral and psychological symptoms in patients with Alzheimer's disease through several mechanisms associated with neuronal plasticity, brain network, neurotransmitter, neurotrophic factors, and so on.
9.TNF-α,IL-1β induce mechano growth factor expression in human fibroblast-like synoviocytes through the PKA pathway
Yang-he HUANG ; Zi-wei LUO ; Hai-bin LI ; Shuang-chi WU ; Yong-gang LÜ ; Wan-qian LIU ; Li ZHONG ; Li YANG
Journal of Medical Biomechanics 2014;29(3):E276-E280
Objective To investigate the effects of inflammatory factors TNF-α, IL-1β, IL-6 on expression of mechano growth factor (MGF). Methods In the experimental group, TNF-α and IL-6 at concentration of 25, 50, 100 ng/mL, or IL-1β at concentration of 2.5, 5.0, 10 ng/mL were applied to fibroblast-like synoviocytes (FLSs) for 12 hours. The inhibitor groups were pretreated with PKA pathway inhibitor KT5720 at concentration of 1.0 mmol for 1 hour. The control group remained under the same culture condition as the experimental group, but without any growth factor. Real-time PCR was used to measure the gene expression of MGF. Results Treated with TNF-α at concentration of 25 ng/mL and IL-1β at concentration of 10 ng/mL, the MGF expression in FLSs was significantly increased (P<0.05). IL-6 had no effect on MGF expression. A specific inhibitor of cAMP-dependent protein kinase, at concentration of 1.0 mmol significantly decreased the activation of MGF synthesis by TNF-α and IL-1β in FLSs (P<0.05). Conclusions TNF-α at concentration of 25 ng/mL and IL-1β at concentration of 10 ng/mL significantly induce the MGF expression in FLSs, which activate MGF synthesis via the PKA pathway. This study is of significance in improving the application of MGF used in tissue repair area to make up the insufficient stress stimulation.
10.Clinical variability in onset of influenza A (H7N9) infection.
Shu-Ying WANG ; Shu-Hua REN ; Mei-Xian HUANG ; Dao-Jun YU ; Qiang SHEN ; Hong-Feng ZHAO ; Qiao-Hong LÜ ; Shen-Xian QIAN
Chinese Medical Journal 2013;126(21):4194-4196
Adult
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Aged
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Brugada Syndrome
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diagnosis
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virology
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Humans
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Influenza A Virus, H7N9 Subtype
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pathogenicity
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Influenza, Human
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diagnosis
;
virology
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Male
;
Middle Aged

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