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Related Concept Videos

Cystic Fibrosis: Pathogenesis01:23

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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.
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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.
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A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
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Metaproteomics to Decipher CF Host-Microbiota Interactions: Overview, Challenges and Future Perspectives.

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Proteomics and metaproteomics offer new insights into the cystic fibrosis (CF) host-microbiota relationship. These methods help understand how microbial communities impact CF patient symptoms and treatment outcomes.

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Area of Science:

  • Microbiology
  • Genetics
  • Biochemistry

Background:

  • Cystic fibrosis (CF) is a genetic disorder caused by CF transmembrane conductance regulator (CFTR) gene mutations, leading to organ dysfunction and chronic infections.
  • The gut and lung microbiota play a significant role in CF pathogenesis, influencing disease severity, treatment response, and overall patient phenotype.

Purpose of the Study:

  • To review the application of proteomics and metaproteomics in understanding the CF host-microbiota interactions.
  • To highlight the potential of these omics tools in unraveling the complexities of CF-associated microbial communities.

Main Methods:

  • Proteomics and metaproteomics approaches are utilized to analyze microbial communities and host responses in CF patients.
  • The review discusses the strengths and limitations of these techniques in profiling respiratory and intestinal microbiota.

Main Results:

  • Proteomics provides insights into the key effectors of host-microbe interactions, revealing their role in CF phenotypes.
  • Recent advances in omics tools are enhancing our understanding of the CF microbiota and its impact on disease progression.

Conclusions:

  • Proteomics and metaproteomics are valuable tools for studying the CF host-microbiota partnership.
  • Further development of these approaches is needed to overcome limitations in monitoring CF-associated microbial communities in both respiratory and intestinal samples.