Non-targeted integrative multi-omics approaches on sputum reveal potential diagnostic and monitoring biomarkers for respiratory diseases

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Non-targeted integrative multi-omics approaches on sputum reveal potential diagnostic and monitoring biomarkers for respiratory diseases. / Mur, Luis; Mironas, Adrian; Paes, Rachel; O'shea, Keiron; Lewis, Keir.

In: European Respiratory Journal, Vol. 50, No. Supp 61, PA375, 06.09.2017.

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Mur, Luis ; Mironas, Adrian ; Paes, Rachel ; O'shea, Keiron ; Lewis, Keir. / Non-targeted integrative multi-omics approaches on sputum reveal potential diagnostic and monitoring biomarkers for respiratory diseases. In: European Respiratory Journal. 2017 ; Vol. 50, No. Supp 61.

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@article{eca95b9882124c4aa4b3283a7865f3ff,
title = "Non-targeted integrative multi-omics approaches on sputum reveal potential diagnostic and monitoring biomarkers for respiratory diseases",
abstract = "Introduction: In the era of personalised medicine post-genomic biomarkers could be employed to evaluate respiratory diseases. Particularly important targets are the rapid diagnosis, typing and staging of lung cancer (LC) and predicting exacerbations in patients with chronic obstructive pulmonary disease (COPD) which often occur as co-morbidities. In such approaches screens based on sputum, represent an attractive prospect. Materials and Methods: Spontaneous sputum was collected from 155 patients and correlated with the corresponding clinic-radiological diagnosis (COPD, LC, controls derived from heavy smokers). Global DNA extractions were performed and consequently amplified for the 16S rRNA gene for identification of the microbial load as an indication of potential infection pressure/ relative immunological status. Mass-spectrometry (MS)-based technologies were employed to identify protein and metabolites within the sputum sample. The proteomic and metabolite profiles were analysed using multivariate statistical and machine-learning approaches to identify components that were associated with clinically relevant classes. Results: Analysis of sputum revealed over 60 major classes of proteins differentially expressed and regulated across the disease spectrum. The microbial communities appear to fluctuate in number and also species across the investigated group and GOLD COPD classification with p<0.05. Interrogation of metabolite profiles showed distinctive biochemical changes within each patient group. Conclusion: {\textquoteleft}Omic approaches based on sputum can differentiate a large variety of pulmonary diseases and offer diagnostic biomarkers.",
author = "Luis Mur and Adrian Mironas and Rachel Paes and Keiron O'shea and Keir Lewis",
year = "2017",
month = sep,
day = "6",
doi = "10.1183/1393003.congress-2017.PA375",
language = "English",
volume = "50",
journal = "European Respiratory Journal",
issn = "0903-1936",
publisher = "European Respiratory Society",
number = "Supp 61",

}

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TY - JOUR

T1 - Non-targeted integrative multi-omics approaches on sputum reveal potential diagnostic and monitoring biomarkers for respiratory diseases

AU - Mur, Luis

AU - Mironas, Adrian

AU - Paes, Rachel

AU - O'shea, Keiron

AU - Lewis, Keir

PY - 2017/9/6

Y1 - 2017/9/6

N2 - Introduction: In the era of personalised medicine post-genomic biomarkers could be employed to evaluate respiratory diseases. Particularly important targets are the rapid diagnosis, typing and staging of lung cancer (LC) and predicting exacerbations in patients with chronic obstructive pulmonary disease (COPD) which often occur as co-morbidities. In such approaches screens based on sputum, represent an attractive prospect. Materials and Methods: Spontaneous sputum was collected from 155 patients and correlated with the corresponding clinic-radiological diagnosis (COPD, LC, controls derived from heavy smokers). Global DNA extractions were performed and consequently amplified for the 16S rRNA gene for identification of the microbial load as an indication of potential infection pressure/ relative immunological status. Mass-spectrometry (MS)-based technologies were employed to identify protein and metabolites within the sputum sample. The proteomic and metabolite profiles were analysed using multivariate statistical and machine-learning approaches to identify components that were associated with clinically relevant classes. Results: Analysis of sputum revealed over 60 major classes of proteins differentially expressed and regulated across the disease spectrum. The microbial communities appear to fluctuate in number and also species across the investigated group and GOLD COPD classification with p<0.05. Interrogation of metabolite profiles showed distinctive biochemical changes within each patient group. Conclusion: ‘Omic approaches based on sputum can differentiate a large variety of pulmonary diseases and offer diagnostic biomarkers.

AB - Introduction: In the era of personalised medicine post-genomic biomarkers could be employed to evaluate respiratory diseases. Particularly important targets are the rapid diagnosis, typing and staging of lung cancer (LC) and predicting exacerbations in patients with chronic obstructive pulmonary disease (COPD) which often occur as co-morbidities. In such approaches screens based on sputum, represent an attractive prospect. Materials and Methods: Spontaneous sputum was collected from 155 patients and correlated with the corresponding clinic-radiological diagnosis (COPD, LC, controls derived from heavy smokers). Global DNA extractions were performed and consequently amplified for the 16S rRNA gene for identification of the microbial load as an indication of potential infection pressure/ relative immunological status. Mass-spectrometry (MS)-based technologies were employed to identify protein and metabolites within the sputum sample. The proteomic and metabolite profiles were analysed using multivariate statistical and machine-learning approaches to identify components that were associated with clinically relevant classes. Results: Analysis of sputum revealed over 60 major classes of proteins differentially expressed and regulated across the disease spectrum. The microbial communities appear to fluctuate in number and also species across the investigated group and GOLD COPD classification with p<0.05. Interrogation of metabolite profiles showed distinctive biochemical changes within each patient group. Conclusion: ‘Omic approaches based on sputum can differentiate a large variety of pulmonary diseases and offer diagnostic biomarkers.

UR - http://erj.ersjournals.com/lookup/doi/10.1183/1393003.congress-2017.PA375

U2 - 10.1183/1393003.congress-2017.PA375

DO - 10.1183/1393003.congress-2017.PA375

M3 - Article

VL - 50

JO - European Respiratory Journal

JF - European Respiratory Journal

SN - 0903-1936

IS - Supp 61

M1 - PA375

ER -

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