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Preliminary feasibility and modelling of a liquid matrix Dictyostelium discoideum virulence assay for Pseudomonas aeruginosa.

journal contribution
posted on 2018-07-11, 00:00 authored by AC Champion, NK Houston, Richard Bradbury, DWEC Reid
OBJECTIVES: To develop and determine the feasibility of using a liquid matrix adaptation of the Dictyostelium discoideum bacterial virulence assay by testing on well-characterised clinical and environmental isolates of Pseudomonas aeruginosa. MATERIALS AND METHODS: Axenic AX2 D. discoideum were co-cultured with clinical and environmental isolates of P. aeruginosa in costar 24-well tissue culture plates for 24 h. A P. aeruginosa PAO1 positive control was tested in biological quintuplicate. Wells were then inspected using an inverted microscope and the degree of cytotoxic changes (sparse growth compared to control combined with rounding of cells and cytoplasmic shrinkage) on the D. discoideum cells was observed. A Klebsiella aerogenes negative control was included with each assay series. RESULTS: Sixty-five clinical and 20 environmental P. aeruginosa isolates were tested in the model. Cystic fibrosis respiratory isolates were found to be significantly (P < 0.05) less cytotoxic than P. aeruginosa from other sources. Limitations attached to the funding of this paper did not allow validation against previously employed models or animal models. DISCUSSION: A liquid matrix D. discoideum model for the analysis of P. aeruginosa virulence in a eukaryotic host is feasible, but further validation of the model is required before it may be employed in routine setting.

Funding

Other

History

Volume

73

Issue

2

Start Page

51

End Page

55

Number of Pages

5

ISSN

0967-4845

Location

England

Publisher

BioMed Central

Language

eng

Peer Reviewed

  • Yes

Open Access

  • No

Acceptance Date

2016-02-18

External Author Affiliations

University of Tasmania; University of Wollongong; QIMR Berghofer Medical Research Institute,

Era Eligible

  • Yes

Journal

British Journal of Biomedical Science