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Fecal Host Transcriptomics for Non-invasive Human Mucosal Immune Profiling: Proof of Concept in Clostridium difficile Infection

BACKGROUND: Host factors play an important role in pathogenesis and disease outcome in Clostridium difficile infection (CDI), and characterization of these responses could uncover potential host biomarkers to complement existing microbe-based diagnostics. METHODS: We extracted RNA from fecal samples...

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Autores principales: Schlaberg, Robert, Barrett, Amanda, Edes, Kornelia, Graves, Michael, Paul, Litty, Rychert, Jenna, Lopansri, Bert K., Leung, Daniel T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pathogens and Immunity 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6166656/
https://www.ncbi.nlm.nih.gov/pubmed/30283823
http://dx.doi.org/10.20411/pai.v3i2.250
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author Schlaberg, Robert
Barrett, Amanda
Edes, Kornelia
Graves, Michael
Paul, Litty
Rychert, Jenna
Lopansri, Bert K.
Leung, Daniel T.
author_facet Schlaberg, Robert
Barrett, Amanda
Edes, Kornelia
Graves, Michael
Paul, Litty
Rychert, Jenna
Lopansri, Bert K.
Leung, Daniel T.
author_sort Schlaberg, Robert
collection PubMed
description BACKGROUND: Host factors play an important role in pathogenesis and disease outcome in Clostridium difficile infection (CDI), and characterization of these responses could uncover potential host biomarkers to complement existing microbe-based diagnostics. METHODS: We extracted RNA from fecal samples of patients with CDI and profiled human mRNA using amplicon-based next-generation sequencing (NGS). We compared the fecal host mRNA transcript expression profiles of patients with CDI to controls with non-CDI diarrhea. RESULTS: We found that the ratio of human actin gamma 1 (ACTG1) to 16S ribosomal RNA (rRNA) was highly correlated with NGS quality as measured by percentage of reads on target. Patients with CDI could be differentiated from those with non-CDI diarrhea based on their fecal mRNA expression profiles using principal component analysis. Among the most differentially expressed genes were ones related to immune response (IL23A, IL34) and actin-cytoskeleton function (TNNT1, MYL4, SMTN, MYBPC3, all adjusted P-values < 1 x 10(-3)). CONCLUSIONS: In this proof-of-concept study, we used host fecal transcriptomics for non-invasive profiling of the mucosal immune response in CDI. We identified differentially expressed genes with biological plausibility based on animal and cell culture models. This demonstrates the potential of fecal transcriptomics to uncover host-based biomarkers for enteric infections.
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spelling pubmed-61666562018-10-01 Fecal Host Transcriptomics for Non-invasive Human Mucosal Immune Profiling: Proof of Concept in Clostridium difficile Infection Schlaberg, Robert Barrett, Amanda Edes, Kornelia Graves, Michael Paul, Litty Rychert, Jenna Lopansri, Bert K. Leung, Daniel T. Pathog Immun Research Article BACKGROUND: Host factors play an important role in pathogenesis and disease outcome in Clostridium difficile infection (CDI), and characterization of these responses could uncover potential host biomarkers to complement existing microbe-based diagnostics. METHODS: We extracted RNA from fecal samples of patients with CDI and profiled human mRNA using amplicon-based next-generation sequencing (NGS). We compared the fecal host mRNA transcript expression profiles of patients with CDI to controls with non-CDI diarrhea. RESULTS: We found that the ratio of human actin gamma 1 (ACTG1) to 16S ribosomal RNA (rRNA) was highly correlated with NGS quality as measured by percentage of reads on target. Patients with CDI could be differentiated from those with non-CDI diarrhea based on their fecal mRNA expression profiles using principal component analysis. Among the most differentially expressed genes were ones related to immune response (IL23A, IL34) and actin-cytoskeleton function (TNNT1, MYL4, SMTN, MYBPC3, all adjusted P-values < 1 x 10(-3)). CONCLUSIONS: In this proof-of-concept study, we used host fecal transcriptomics for non-invasive profiling of the mucosal immune response in CDI. We identified differentially expressed genes with biological plausibility based on animal and cell culture models. This demonstrates the potential of fecal transcriptomics to uncover host-based biomarkers for enteric infections. Pathogens and Immunity 2018-09-12 /pmc/articles/PMC6166656/ /pubmed/30283823 http://dx.doi.org/10.20411/pai.v3i2.250 Text en © Pathogens and Immunity 2018 This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Research Article
Schlaberg, Robert
Barrett, Amanda
Edes, Kornelia
Graves, Michael
Paul, Litty
Rychert, Jenna
Lopansri, Bert K.
Leung, Daniel T.
Fecal Host Transcriptomics for Non-invasive Human Mucosal Immune Profiling: Proof of Concept in Clostridium difficile Infection
title Fecal Host Transcriptomics for Non-invasive Human Mucosal Immune Profiling: Proof of Concept in Clostridium difficile Infection
title_full Fecal Host Transcriptomics for Non-invasive Human Mucosal Immune Profiling: Proof of Concept in Clostridium difficile Infection
title_fullStr Fecal Host Transcriptomics for Non-invasive Human Mucosal Immune Profiling: Proof of Concept in Clostridium difficile Infection
title_full_unstemmed Fecal Host Transcriptomics for Non-invasive Human Mucosal Immune Profiling: Proof of Concept in Clostridium difficile Infection
title_short Fecal Host Transcriptomics for Non-invasive Human Mucosal Immune Profiling: Proof of Concept in Clostridium difficile Infection
title_sort fecal host transcriptomics for non-invasive human mucosal immune profiling: proof of concept in clostridium difficile infection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6166656/
https://www.ncbi.nlm.nih.gov/pubmed/30283823
http://dx.doi.org/10.20411/pai.v3i2.250
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