Literature DB >> 24645634

Microbiome in cystic fibrosis: Shaping polymicrobial interactions for advances in antibiotic therapy.

Susana P Lopes1, Nuno F Azevedo, Maria O Pereira.   

Abstract

Recent molecular methodologies have demonstrated a complex microbial ecosystem in cystic fibrosis (CF) airways, with a wide array of uncommon microorganisms co-existing with the traditional pathogens. Although there are lines of evidence supporting the contribution of some of those emergent species for lung disease chronicity, clinical significance remains uncertain for most cases. A possible contribution for disease is likely to be related with the dynamic interactions established between microorganisms within the microbial community and with the host. If this is the case, management of CF will only be successful upon suitable and exhaustive modulation of such mixed ecological processes, which will also be useful to predict the effects of new therapeutic interventions.

Entities:  

Keywords:  Antibiotic therapy; cystic fibrosis; microbial diversity; microbial interactions; polymicrobial biofilms

Mesh:

Substances:

Year:  2014        PMID: 24645634     DOI: 10.3109/1040841X.2013.847898

Source DB:  PubMed          Journal:  Crit Rev Microbiol        ISSN: 1040-841X            Impact factor:   7.624


  10 in total

1.  Changes in Microbiome Dominance Are Associated With Declining Lung Function and Fluctuating Inflammation in People With Cystic Fibrosis.

Authors:  Dario L Frey; Calum Bridson; Susanne Dittrich; Simon Y Graeber; Mirjam Stahl; Sabine Wege; Felix Herth; Olaf Sommerburg; Carsten Schultz; Alexander Dalpke; Marcus A Mall; Sébastien Boutin
Journal:  Front Microbiol       Date:  2022-05-13       Impact factor: 6.064

Review 2.  Experimental systems biology approaches reveal interaction mechanisms in model multispecies communities.

Authors:  Anupama Khare
Journal:  Trends Microbiol       Date:  2021-04-14       Impact factor: 17.079

3.  Effect of algae and plant lectins on planktonic growth and biofilm formation in clinically relevant bacteria and yeasts.

Authors:  Mayron Alves Vasconcelos; Francisco Vassiliepe Sousa Arruda; Victor Alves Carneiro; Helton Colares Silva; Kyria Santiago Nascimento; Alexandre Holanda Sampaio; Benildo Cavada; Edson Holanda Teixeira; Mariana Henriques; Maria Olivia Pereira
Journal:  Biomed Res Int       Date:  2014-05-28       Impact factor: 3.411

4.  Emergent bacteria in cystic fibrosis: in vitro biofilm formation and resilience under variable oxygen conditions.

Authors:  Susana P Lopes; Nuno F Azevedo; Maria O Pereira
Journal:  Biomed Res Int       Date:  2014-04-29       Impact factor: 3.411

5.  Comparison of Oropharyngeal Microbiota from Children with Asthma and Cystic Fibrosis.

Authors:  Sébastien Boutin; Martin Depner; Mirjam Stahl; Simon Y Graeber; Susanne A Dittrich; Antje Legatzki; Erika von Mutius; Marcus Mall; Alexander H Dalpke
Journal:  Mediators Inflamm       Date:  2017-12-27       Impact factor: 4.711

6.  The Lung Microbiome of Three Young Brazilian Patients With Cystic Fibrosis Colonized by Fungi.

Authors:  Otávio Guilherme Gonçalves de Almeida; Carolina Paulino da Costa Capizzani; Ludmilla Tonani; Patrícia Helena Grizante Barião; Anderson Ferreira da Cunha; Elaine Cristina Pereira De Martinis; Lidia Alice Gomes Monteiro Marin Torres; Marcia Regina von Zeska Kress
Journal:  Front Cell Infect Microbiol       Date:  2020-11-11       Impact factor: 5.293

7.  Genome evolution drives transcriptomic and phenotypic adaptation in Pseudomonas aeruginosa during 20 years of infection.

Authors:  Samuel J T Wardell; Jeff Gauthier; Lois W Martin; Marianne Potvin; Ben Brockway; Roger C Levesque; Iain L Lamont
Journal:  Microb Genom       Date:  2021-11

Review 8.  Pseudomonas aeruginosa Evolutionary Adaptation and Diversification in Cystic Fibrosis Chronic Lung Infections.

Authors:  Craig Winstanley; Siobhan O'Brien; Michael A Brockhurst
Journal:  Trends Microbiol       Date:  2016-03-03       Impact factor: 17.079

Review 9.  Antimicrobial Susceptibility Testing of Antimicrobial Peptides to Better Predict Efficacy.

Authors:  Derry K Mercer; Marcelo D T Torres; Searle S Duay; Emma Lovie; Laura Simpson; Maren von Köckritz-Blickwede; Cesar de la Fuente-Nunez; Deborah A O'Neil; Alfredo M Angeles-Boza
Journal:  Front Cell Infect Microbiol       Date:  2020-07-07       Impact factor: 5.293

10.  Quantitative assessment of individual populations within polymicrobial biofilms.

Authors:  Susana Patrícia Lopes; Nuno Filipe Azevedo; Maria Olívia Pereira
Journal:  Sci Rep       Date:  2018-06-22       Impact factor: 4.379

  10 in total

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