Phenotypic conversion of Pseudomonas aeruginosa in cystic fibrosis

Author:

Fegan M1,Francis P1,Hayward A C1,Davis G H1,Fuerst J A1

Affiliation:

1. Department of Microbiology, University of Queensland, St. Lucia, Australia.

Abstract

Pseudomonas aeruginosa strains isolated from cystic fibrosis patients were tested for production of exoenzymes, sensitivity to pooled normal human serum, and colony morphology. Strains isolated from patients exhibiting a severe form of the disease were seen to produce a decreased range of exoenzymes, to show an increase in their serum sensitivity, and to be predominantly mucoid in colonial character compared with strains isolated from patients with a milder form of the disease. These results suggest that P. aeruginosa undergoes phenotypic changes with respect to exoenzyme secretion, serum sensitivity, and colony form as the clinical condition of the cystic fibrosis patient changes.

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

Reference38 articles.

1. High osmolarity is a signal for enhanced algD transcription in mucoid and nonmucoid Pseudomonas aeruginosa strains;Berry A.;J. Bacteriol.,1989

2. The etiology and persistence of cryptic bacterial infections: a hypothesis;Costerton J. W.;Rev. Infect. Dis.,1984

3. Diagnosis and treatment of cystic fibrosis-an update;Davis P. B.;Chest,1984

4. Environmental sensory signals and microbial pathogenesis: Pseudomonas aeruginosa infection in cystic fibrosis;De Vault J. D.;Bio/Technology,1989

5. An atypical Pseudomonas aeruginosa associated with cystic fibrosis of the pancreas;Doggett R. J.;J. Pediatr.,1966

Cited by 59 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3