1.Effect of different delayed cooling time on organ injuries in rat models of exertional heat stroke
Jinbao ZHAO ; Yiqin JIA ; Handing MAO ; Shijiao WANG ; Fan XU ; Xin LI ; Ye TAO ; Lei XUE ; Shuyuan LIU ; Qing SONG ; Biye ZHOU
Journal of Southern Medical University 2024;44(10):1858-1865
Methods To investigate how the timing of cooling therapy affects organ injuries in rats with exertional heat stroke(EHS)and explore the possible mechanisms.Methods A total of 60 adult male Wistar rat models of EHS were randomized into model group without active cooling after modeling,immediate cooling group with cold water bath immediately after modeling,delayed cooling groups with cold water bath at 5,15 and 30 min after modeling,with another 12 mice without EHS as the normal control group.The changes in core body temperature of the mice were recorded and the cooling rate was calculated.After observation for 24 h,the mice were euthanized and blood samples were collected for detection of interleukin-1β(IL-1β),IL-2,IL-4,IL-6,IL-10,and interferon-γ,followed by pathological examination of the vital organs.The rats that died within 24 h were immediately dissected for examination.Results The number of deaths of the model rats within 24 h increased significantly with the time of delay of cooling treatment.The delay of cooling was positively correlated(r=0.996,P=0.004)while the cooling rate negatively correlated with the mortality rate(r=-0.961,P=0.009).The inflammatory cytokine levels presented with different patterns of variations among the cooling intervention groups.All the rat models of EHS had significant organ damages characterized mainly by epithelial shedding,edema,effusion,and inflammatory cell infiltration,and brain and renal injuries reached the peak level at 24 h after EHS.Conclusion EHS causes significant nonspecific pathologies of varying severities in the vital organs of rats,and the injuries worsen progressively with the delay of cooling.There is a significant heterogeneity in changes of serum inflammatory cytokines in rats with different timing of cooling intervention following EHS.
2.Effect of different delayed cooling time on organ injuries in rat models of exertional heat stroke
Jinbao ZHAO ; Yiqin JIA ; Handing MAO ; Shijiao WANG ; Fan XU ; Xin LI ; Ye TAO ; Lei XUE ; Shuyuan LIU ; Qing SONG ; Biye ZHOU
Journal of Southern Medical University 2024;44(10):1858-1865
Methods To investigate how the timing of cooling therapy affects organ injuries in rats with exertional heat stroke(EHS)and explore the possible mechanisms.Methods A total of 60 adult male Wistar rat models of EHS were randomized into model group without active cooling after modeling,immediate cooling group with cold water bath immediately after modeling,delayed cooling groups with cold water bath at 5,15 and 30 min after modeling,with another 12 mice without EHS as the normal control group.The changes in core body temperature of the mice were recorded and the cooling rate was calculated.After observation for 24 h,the mice were euthanized and blood samples were collected for detection of interleukin-1β(IL-1β),IL-2,IL-4,IL-6,IL-10,and interferon-γ,followed by pathological examination of the vital organs.The rats that died within 24 h were immediately dissected for examination.Results The number of deaths of the model rats within 24 h increased significantly with the time of delay of cooling treatment.The delay of cooling was positively correlated(r=0.996,P=0.004)while the cooling rate negatively correlated with the mortality rate(r=-0.961,P=0.009).The inflammatory cytokine levels presented with different patterns of variations among the cooling intervention groups.All the rat models of EHS had significant organ damages characterized mainly by epithelial shedding,edema,effusion,and inflammatory cell infiltration,and brain and renal injuries reached the peak level at 24 h after EHS.Conclusion EHS causes significant nonspecific pathologies of varying severities in the vital organs of rats,and the injuries worsen progressively with the delay of cooling.There is a significant heterogeneity in changes of serum inflammatory cytokines in rats with different timing of cooling intervention following EHS.
3.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.
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.Study on intestinal flora characteristics of asthmatic children based on theory of lung and large intestine being interior-exterior
Jia CHEN ; Yingwu CHE ; Jie LIN ; Yiqin WANG ; Kexing SUN ; Fang LIU
International Journal of Traditional Chinese Medicine 2021;43(8):744-750
Objective:To explore the characteristics of intestinal flora in children with asthma from the theory of "lung and large intestine being interior-exterior" , and to provide an experimental basis for the study of "lung and intestine axis" .Methods:Based on 16S rDNA high-throughput sequencing technology, stool samples from children with 30 asthma and 28 healthy children were enrolloed and sequenced. All patients are from january 2018 to April 2018, Shanghai Children's Medical Center affiliated to Shanghai Jiaotong University Medical College and Oriental Hospital Affiliated to Tongji University. Statistical methods such as Principal component analysis (PCA), LEfSe analysis, linear discriminant analysis (LDA), and non-metric multidimensional scale analysis (NMDS) were used to analyze intestinal flora characteristics of asthma children.Results:The number of Intestinal flora operating taxon unit (OTU) in asthmatic group (141.96 ± 27.42 vs. 164.54 ± 50.58, P=0.048), Shannon index (2.49 ± 0.51 vs. 2.80 ± 0.56, P=0.044) were significantly lower than those of healthy children group, and Simpson index (0.18 ± 0.06 vs. 0.13 ± 0.07, P=0.010) was significantly higher than that of healthy children. There was no significant difference in intestinal flora abundance between asthmatic children and healthy children ( P>0.05), but there was a decreasing trend. Further differential intestinal flora analysis showed that there were differences in bacterial abundance between children with asthma and healthy children. Conclusion:Children with asthma showed high related with intestinal flora disorders, referring that asthma maybe treated when intestinal flora is treated, which provides a reference for the study of the relationship between lung and intestine from the perspective of intestinal flora.

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