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Statistical Metamodeling for Revealing Synergistic Antimicrobial Interactions

文献类型：期刊论文

作者Chen, Chia Hsiang1; Gau, Vincent2; Zhang, Donna D.3; Liao, Joseph C.4; Wang, Fei-Yue5; Wong, Pak Kin1,6
刊名PLOS ONE
出版日期2010-11-11
卷号5期号:11页码:1-7
关键词Statistical Metamodeling,Revealing Synergistic Antimicrobial Interactions
通讯作者Wong, Pak Kin
英文摘要Many bacterial pathogens are becoming drug resistant faster than we can develop new antimicrobials. To address this threat in public health, a metamodel antimicrobial cocktail optimization (MACO) scheme is demonstrated for rapid screening of potent antibiotic cocktails using uropathogenic clinical isolates as model systems. With the MACO scheme, only 18 parallel trials were required to determine a potent antimicrobial cocktail out of hundreds of possible combinations. In particular, trimethoprim and gentamicin were identified to work synergistically for inhibiting the bacterial growth. Sensitivity analysis indicated gentamicin functions as a synergist for trimethoprim, and reduces its minimum inhibitory concentration for 40-fold. Validation study also confirmed that the trimethoprim-gentamicin synergistic cocktail effectively inhibited the growths of multiple strains of uropathogenic clinical isolates. With its effectiveness and simplicity, the MACO scheme possesses the potential to serve as a generic platform for identifying synergistic antimicrobial cocktails toward management of bacterial infection in the future.
WOS标题词Science & Technology
类目[WOS]Multidisciplinary Sciences
研究领域[WOS]Science & Technology - Other Topics
关键词[WOS]ANTIBACTERIAL ACTIVITY ; COMBINATORY DRUGS ; ESCHERICHIA-COLI ; ESSENTIAL OILS ; OPTIMIZATION ; GENTAMICIN ; DISCOVERY ; TRIMETHOPRIM ; CONSTITUENTS ; ANTIBIOTICS
收录类别SCI
语种英语
WOS记录号WOS:000284087800026
源URL[http://ir.ia.ac.cn/handle/173211/3585]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
作者单位1.Univ Arizona, Dept Aerosp & Mech Engn, Tucson, AZ 85721 USA
2.GeneFluidics Inc, Monterey Pk, CA USA
3.Univ Arizona, Dept Pharmacol & Toxicol, Tucson, AZ 85721 USA
4.Stanford Univ, Dept Urol, Stanford, CA 94305 USA
5.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing, Peoples R China
6.Univ Arizona, Biomed Engn & Bio5 Inst, Tucson, AZ 85721 USA
推荐引用方式
GB/T 7714		 Chen, Chia Hsiang,Gau, Vincent,Zhang, Donna D.,et al. Statistical Metamodeling for Revealing Synergistic Antimicrobial Interactions[J]. PLOS ONE,2010,5(11):1-7.
APA Chen, Chia Hsiang,Gau, Vincent,Zhang, Donna D.,Liao, Joseph C.,Wang, Fei-Yue,&Wong, Pak Kin.(2010).Statistical Metamodeling for Revealing Synergistic Antimicrobial Interactions.PLOS ONE,5(11),1-7.
MLA Chen, Chia Hsiang,et al."Statistical Metamodeling for Revealing Synergistic Antimicrobial Interactions".PLOS ONE 5.11(2010):1-7.

入库方式： OAI收割

来源：自动化研究所

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