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Cystic Fibrosis Rapid Response: Translating Multi-omics Data into Clinically Relevant Information

Pulmonary exacerbations are the leading cause of death in cystic fibrosis (CF) patients. To track microbial dynamics during acute exacerbations, a CF rapid response (CFRR) strategy was developed. The CFRR relies on viromics, metagenomics, metatranscriptomics, and metabolomics data to rapidly monitor...

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Autores principales: Cobián Güemes, Ana Georgina, Lim, Yan Wei, Quinn, Robert A., Conrad, Douglas J., Benler, Sean, Maughan, Heather, Edwards, Rob, Brettin, Thomas, Cantú, Vito Adrian, Cuevas, Daniel, Hamidi, Rohaum, Dorrestein, Pieter, Rohwer, Forest
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469968/
https://www.ncbi.nlm.nih.gov/pubmed/30992350
http://dx.doi.org/10.1128/mBio.00431-19
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author Cobián Güemes, Ana Georgina
Lim, Yan Wei
Quinn, Robert A.
Conrad, Douglas J.
Benler, Sean
Maughan, Heather
Edwards, Rob
Brettin, Thomas
Cantú, Vito Adrian
Cuevas, Daniel
Hamidi, Rohaum
Dorrestein, Pieter
Rohwer, Forest
author_facet Cobián Güemes, Ana Georgina
Lim, Yan Wei
Quinn, Robert A.
Conrad, Douglas J.
Benler, Sean
Maughan, Heather
Edwards, Rob
Brettin, Thomas
Cantú, Vito Adrian
Cuevas, Daniel
Hamidi, Rohaum
Dorrestein, Pieter
Rohwer, Forest
author_sort Cobián Güemes, Ana Georgina
collection PubMed
description Pulmonary exacerbations are the leading cause of death in cystic fibrosis (CF) patients. To track microbial dynamics during acute exacerbations, a CF rapid response (CFRR) strategy was developed. The CFRR relies on viromics, metagenomics, metatranscriptomics, and metabolomics data to rapidly monitor active members of the viral and microbial community during acute CF exacerbations. To highlight CFRR, a case study of a CF patient is presented, in which an abrupt decline in lung function characterized a fatal exacerbation. The microbial community in the patient’s lungs was closely monitored through the multi-omics strategy, which led to the identification of pathogenic shigatoxigenic Escherichia coli (STEC) expressing Shiga toxin. This case study illustrates the potential for the CFRR to deconstruct complicated disease dynamics and provide clinicians with alternative treatments to improve the outcomes of pulmonary exacerbations and expand the life spans of individuals with CF.
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spelling pubmed-64699682019-04-24 Cystic Fibrosis Rapid Response: Translating Multi-omics Data into Clinically Relevant Information Cobián Güemes, Ana Georgina Lim, Yan Wei Quinn, Robert A. Conrad, Douglas J. Benler, Sean Maughan, Heather Edwards, Rob Brettin, Thomas Cantú, Vito Adrian Cuevas, Daniel Hamidi, Rohaum Dorrestein, Pieter Rohwer, Forest mBio Research Article Pulmonary exacerbations are the leading cause of death in cystic fibrosis (CF) patients. To track microbial dynamics during acute exacerbations, a CF rapid response (CFRR) strategy was developed. The CFRR relies on viromics, metagenomics, metatranscriptomics, and metabolomics data to rapidly monitor active members of the viral and microbial community during acute CF exacerbations. To highlight CFRR, a case study of a CF patient is presented, in which an abrupt decline in lung function characterized a fatal exacerbation. The microbial community in the patient’s lungs was closely monitored through the multi-omics strategy, which led to the identification of pathogenic shigatoxigenic Escherichia coli (STEC) expressing Shiga toxin. This case study illustrates the potential for the CFRR to deconstruct complicated disease dynamics and provide clinicians with alternative treatments to improve the outcomes of pulmonary exacerbations and expand the life spans of individuals with CF. American Society for Microbiology 2019-04-16 /pmc/articles/PMC6469968/ /pubmed/30992350 http://dx.doi.org/10.1128/mBio.00431-19 Text en Copyright © 2019 Cobián Güemes et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Cobián Güemes, Ana Georgina
Lim, Yan Wei
Quinn, Robert A.
Conrad, Douglas J.
Benler, Sean
Maughan, Heather
Edwards, Rob
Brettin, Thomas
Cantú, Vito Adrian
Cuevas, Daniel
Hamidi, Rohaum
Dorrestein, Pieter
Rohwer, Forest
Cystic Fibrosis Rapid Response: Translating Multi-omics Data into Clinically Relevant Information
title Cystic Fibrosis Rapid Response: Translating Multi-omics Data into Clinically Relevant Information
title_full Cystic Fibrosis Rapid Response: Translating Multi-omics Data into Clinically Relevant Information
title_fullStr Cystic Fibrosis Rapid Response: Translating Multi-omics Data into Clinically Relevant Information
title_full_unstemmed Cystic Fibrosis Rapid Response: Translating Multi-omics Data into Clinically Relevant Information
title_short Cystic Fibrosis Rapid Response: Translating Multi-omics Data into Clinically Relevant Information
title_sort cystic fibrosis rapid response: translating multi-omics data into clinically relevant information
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469968/
https://www.ncbi.nlm.nih.gov/pubmed/30992350
http://dx.doi.org/10.1128/mBio.00431-19
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