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2005--2014年CHINET中国细菌耐药性监测网5种重要临床分离菌的耐药性变迁 被引量:435
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作者 f.-p.hu y.guo +39 位作者 d.-m.zhu f.wang x.-f.jiang y.-c.xu x.-j.zhang c.-x.zhang p.ji y.xie m.kang c.-q.wang a.-m.wang y.-h.xu j.-l.shen z.-y.sun z.-j.chen y.-x.ni j.-y.sun y.-z.chu s.-f.tian z.-d.hu j.-li y.-s.yu j.lin b.shan y.du y.han s.guo l.-h.wei l.wu h.zhang j.kong y.-j.hu x.-m.ai c.zhuo d.-h.su q.yang b.jia w.huang 胡付品(译) 汪复 《中国感染与化疗杂志》 CAS CSCD 北大核心 2017年第1期93-99,共7页
目的收集并分析CHINET中国细菌耐药性监测网中5种重要临床分离菌的耐药性变迁。方法采用纸片扩散法或自动化仪器法按统一方案进行药物敏感性试验。按CLSI 2014年版标准判断结果。结果 2005—2014年,每年的临床分离菌数量为22 774~84 57... 目的收集并分析CHINET中国细菌耐药性监测网中5种重要临床分离菌的耐药性变迁。方法采用纸片扩散法或自动化仪器法按统一方案进行药物敏感性试验。按CLSI 2014年版标准判断结果。结果 2005—2014年,每年的临床分离菌数量为22 774~84 572株。大肠埃希菌中产ESBL菌株检出率为51.7%~55.8%。在上述时期内大肠埃希菌和肺炎克雷伯菌对阿米卡星、环丙沙星、哌拉西林-他唑巴坦和头孢哌酮-舒巴坦的耐药率有所下降。肺炎克雷伯菌中碳青霉烯类耐药株由2.4%上升至13.4%。铜绿假单胞菌对包括亚胺培南和美罗培南的所有受试抗菌药物的耐药率均有所下降。鲍曼不动杆菌对碳青霉烯类的耐药率由31.0%逐步上升至66.7%。耐甲氧西林金黄色葡萄球菌的检出率由2005年的69%逐年下降至2014年的44.6%。结论国内肺炎克雷伯菌和鲍曼不动杆菌对碳青霉烯类的耐药率高。上述结果显示细菌耐药性监测对于细菌感染的有效治疗十分重要。 展开更多
关键词 抗菌药物耐药性 碳青霉烯类 CHINET细菌耐药性监测 鲍曼不动杆菌 大肠埃希菌 肺炎克雷伯菌 铜绿假单胞菌 金黄色葡萄球菌
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Transcriptional changes in mesenteric and subcutaneous adipose tissue from Holstein cows in response to plane of dietary energy
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作者 S.J.Moisá p.ji +2 位作者 J.K.Drackley S.L.Rodriguez-Zas J.J.Loor 《Journal of Animal Science and Biotechnology》 SCIE CAS CSCD 2018年第1期233-247,共15页
Background: Dairy cows can readily overconsume dietary energy during most of the prepartum period, often leading to higher prepartal concentrations of insulin and glucose and excessive body fat deposition. The end re... Background: Dairy cows can readily overconsume dietary energy during most of the prepartum period, often leading to higher prepartal concentrations of insulin and glucose and excessive body fat deposition. The end result of these physiologic changes is greater adipose tissue lipolysis post-partum coupled with excessive hepatic lipid accumulation and compromised health. Although transcriptional regulation of the adipose response to energy availability is well established in non-ruminants, such regulation in cow adipose tissue depots remains poorly characterized.Results: Effects of ad-libitum access to high [HIGH; 1.62 Mcal/kg of dry matter(DM)] or adequate(CON; 1.35 Mcal/kg of DM) dietary energy for 8 wk on mesenteric(MAT) and subcutaneous(SAT) adipose tissue transcript profiles were assessed in non-pregnant non-lactating Holstein dairy cows using a 13,000-sequence annotated bovine oligonucleotide microarray. Statistical analysis revealed 409 and 310 differentially expressed genes(DEG) due to tissue and diet. Bioinformatics analysis was conducted using the Dynamic Impact Approach(DIA) with the KEGG pathway database. Compared with SAT, MAT had more active biological processes related to adipose tissue accumulation(adiponectin secretion) and signs of pro-inflammatory processes due to adipose tissue expansion and macrophage infiltration(generation of ceramides). Feeding the HIGH diet led to changes in m RNA expression of genes associated with cell hypertrophy(regucalcin), activation of adipogenesis(phospholipid phosphatase 1),insulin signaling activation(neuraminidase 1) and angiogenesis(semaphorin 4 G, plexin B1). Further, inflammation due to HIGH was underscored by m RNA expression changes associated with oxidative stress response(coenzyme Q3, methyltransferase), ceramide synthesis(N-acylsphingosine amidohydrolase 1), and insulin signaling(interferon regulatory factor 1, phosphoinositide-3-kinase regulatory subunit 1, retinoic acid receptor alpha). Activation of ribosome in cows fed HIGH indicated the existence of greater adipocyte growth rate(M-phase phosphoprotein 10,NMD3 ribosome export adaptor).Conclusions: The data indicate that long-term ad-libitum access to a higher-energy diet led to transcriptional changes in adipose tissue that stimulated hypertrophy and the activity of pathways associated with a slight but chronic inflammatory response. Further studies would be helpful in determining the extent to which m RNA results also occur at the protein level. 展开更多
关键词 Adipose tissue Dairy cow Dietary energy Transcriptome
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