Literature DB >> 18211577

Detection of Pseudomonas aeruginosa quorum sensing signals in an infected ischemic wound: an experimental study in rats.

Gojiro Nakagami1, Hiromi Sanada, Junko Sugama, Tomohiro Morohoshi, Tsukasa Ikeda, Yasunori Ohta.   

Abstract

Quorum sensing is a cell-to-cell communication that occurs via autoinducers, regulating a number of bacterial virulence factors including the opportunistic wound pathogen Pseudomonas aeruginosa, which uses the N-(3-oxododecanoyl)-homoserine lactone as one of the two main autoinducers; however, little is known about its role in chronic wound infection. This study was designed to quantify this autoinducer from P. aeruginosa-infected wounds with the aim of examining the possible use of autoinducers as an indicator of chronic wound infection. Pressure-induced ischemic wounds were infected with P. aeruginosa (N=12) or uninfected as a control (N=12). The autoinducer was quantified by bioassay method employing Escherichia coli DH5 alpha (pJN105L, pSC11) or Agrobacterium tumefaciens NTL4 (pZLR4) reporter, which expresses beta-galactosidase when exposed to P. aeruginosa quorum sensing signals. The average concentration of autoinducer was 0.33 pmol/g at day 3 and 0.49 pmol/g at day 7 in the infected wounds, as detected from tissue samples. A linear correlation between autoinducer concentration and bacterial counts was observed. No autoinducer was detected in tissue samples from the uninfected control group. Our findings indicate that the quantification of autoinducers is possible and quorum sensing system could play a role in in vivo wound infection models, and also suggest possible clinical implications of autoinducer signal quantification in diagnosis of chronic wound infection.

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Year:  2008        PMID: 18211577     DOI: 10.1111/j.1524-475X.2007.00329.x

Source DB:  PubMed          Journal:  Wound Repair Regen        ISSN: 1067-1927            Impact factor:   3.617


  10 in total

Review 1.  Chronic Wound Biofilm Model.

Authors:  Kasturi Ganesh; Mithun Sinha; Shomita S Mathew-Steiner; Amitava Das; Sashwati Roy; Chandan K Sen
Journal:  Adv Wound Care (New Rochelle)       Date:  2015-07-01       Impact factor: 4.730

2.  The importance of a multifaceted approach to characterizing the microbial flora of chronic wounds.

Authors:  Anne Han; Jonathan M Zenilman; Johan H Melendez; Mark E Shirtliff; Alessandra Agostinho; Garth James; Philip S Stewart; Emmanuel F Mongodin; Dhana Rao; Alexander H Rickard; Gerald S Lazarus
Journal:  Wound Repair Regen       Date:  2011 Sep-Oct       Impact factor: 3.617

3.  Production of cell-cell signalling molecules by bacteria isolated from human chronic wounds.

Authors:  A H Rickard; K R Colacino; K M Manton; R I Morton; E Pulcini; J Pfeil; D Rhoads; R D Wolcott; G James
Journal:  J Appl Microbiol       Date:  2009-09-21       Impact factor: 3.772

Review 4.  Wound biofilms: lessons learned from oral biofilms.

Authors:  Kimberly A Mancl; Robert S Kirsner; Dragana Ajdic
Journal:  Wound Repair Regen       Date:  2013-04-01       Impact factor: 3.617

5.  An in vivo polymicrobial biofilm wound infection model to study interspecies interactions.

Authors:  Trevor Dalton; Scot E Dowd; Randall D Wolcott; Yan Sun; Chase Watters; John A Griswold; Kendra P Rumbaugh
Journal:  PLoS One       Date:  2011-11-04       Impact factor: 3.240

Review 6.  From in vitro to in vivo Models of Bacterial Biofilm-Related Infections.

Authors:  David Lebeaux; Ashwini Chauhan; Olaya Rendueles; Christophe Beloin
Journal:  Pathogens       Date:  2013-05-13

Review 7.  Antibiofilm Peptides: Relevant Preclinical Animal Infection Models and Translational Potential.

Authors:  Gislaine G O S Silveira; Marcelo D T Torres; Camila F A Ribeiro; Beatriz T Meneguetti; Cristiano M E Carvalho; Cesar de la Fuente-Nunez; Octávio L Franco; Marlon H Cardoso
Journal:  ACS Pharmacol Transl Sci       Date:  2021-01-27

8.  Comparative analysis of single-species and polybacterial wound biofilms using a quantitative, in vivo, rabbit ear model.

Authors:  Akhil K Seth; Matthew R Geringer; Seok J Hong; Kai P Leung; Robert D Galiano; Thomas A Mustoe
Journal:  PLoS One       Date:  2012-08-08       Impact factor: 3.240

9.  Major Transcriptome Changes Accompany the Growth of Pseudomonas aeruginosa in Blood from Patients with Severe Thermal Injuries.

Authors:  Cassandra Kruczek; Kameswara Rao Kottapalli; Sharmila Dissanaike; Nyaradzo Dzvova; John A Griswold; Jane A Colmer-Hamood; Abdul N Hamood
Journal:  PLoS One       Date:  2016-03-02       Impact factor: 3.240

10.  Molecular Mechanisms of Phosphate Stress Activation of Pseudomonas aeruginosa Quorum Sensing Systems.

Authors:  Xianfa Meng; Stephen Dela Ahator; Lian-Hui Zhang
Journal:  mSphere       Date:  2020-03-18       Impact factor: 4.389

  10 in total

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