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Related Concept Videos

Cystic Fibrosis: Management01:24

Cystic Fibrosis: Management

254
Cystic fibrosis (CF) is an autosomal recessive disorder that predominantly affects individuals of Northern European descent, occurring at a rate of 1 in 3500. It is caused by a genetic mutation in a gene on chromosome 7, most commonly the ΔF508 mutation, that codes for the cystic fibrosis transmembrane conductance regulator (CFTR) protein. This results in thicker mucus secretions and obstruction pathologies in multiple organs, including the lungs and sinuses.
Sinus disease and chronic...
254
Cystic Fibrosis: Pathogenesis01:23

Cystic Fibrosis: Pathogenesis

426
Cystic fibrosis (CF), an autosomal recessive disorder, significantly affects the function of exocrine glands. This genetically inherited disease is characterized by the production of thick and sticky mucus, which can severely affect various organs and systems in the body.
CF is primarily caused by a genetic mutation in a chromosome 7 gene coding for the cystic fibrosis transmembrane conductance regulator (CFTR) protein. The most common gene mutation leading to CF is the ΔF508 mutation,...
426

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Related Experiment Video

Updated: Oct 19, 2025

Growing a Cystic Fibrosis-Relevant Polymicrobial Biofilm to Probe Community Phenotypes
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Model Systems to Study the Chronic, Polymicrobial Infections in Cystic Fibrosis: Current Approaches and Exploring

George A O'Toole1, Aurélie Crabbé2, Rolf Kümmerli3

  • 1Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA.

Mbio
|September 21, 2021
PubMed
Summary

Researchers explored new models for studying polymicrobial infections in cystic fibrosis (CF) airways. Three frameworks were proposed to advance the development of model systems for chronic infectious diseases.

Keywords:
airwaychronic infectioncystic fibrosismodelspolymicrobial

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Area of Science:

  • Microbiology
  • Infectious Diseases
  • Biomedical Engineering

Background:

  • Cystic Fibrosis (CF) airways are characterized by polymicrobial infections.
  • Current models often fail to accurately represent the complexity of these infections.
  • Developing better models is crucial for understanding disease progression and treatment.

Purpose of the Study:

  • To discuss the development of novel model systems for studying polymicrobial infections in CF.
  • To identify challenges in creating accurate models for CF airway infections.
  • To propose frameworks for advancing model system development.

Main Methods:

  • A virtual workshop involving 35+ investigators was convened.
  • Findings from the workshop discussions were compiled.
  • Three potential frameworks for model development were outlined.

Main Results:

  • Key challenges in developing polymicrobial infection models were identified.
  • Three distinct frameworks were proposed to guide future research.
  • The proposed frameworks aim to be applicable beyond CF.

Conclusions:

  • Advancing model systems for CF polymicrobial infections can lead to new therapeutics.
  • Understanding these complex communities may reveal principles applicable to other chronic infections.
  • The proposed frameworks offer a path toward more effective treatment strategies.