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Application of ’omics technologies to biomarker discovery in inflammatory lung diseases

Application of ’omics technologies to biomarker discovery in inflammatory lung diseases
Application of ’omics technologies to biomarker discovery in inflammatory lung diseases
Inflammatory lung diseases are highly complex in respect of pathogenesis and relationships between inflammation, clinical disease and response to treatment. Sophisticated large-scale analytical methods to quantify gene expression (transcriptomics), proteins (proteomics), lipids (lipidomics) and metabolites (metabolomics) in the lungs, blood and urine are now available to identify biomarkers that define disease in terms of combined clinical, physiological and patho-biological abnormalities. The aspiration is that these approaches will improve diagnosis, i.e. define pathological phenotypes, and facilitate the monitoring of disease and therapy, and also, unravel underlying molecular pathways. Biomarker studies can either select predefined biomarker(s) measured by specific methods or apply an “unbiased” approach involving detection platforms that are indiscriminate in focus. This article reviews the technologies presently available to study biomarkers of lung disease within the ’omics field. The contributions of the individual ’omics analytical platforms to the field of respiratory diseases are summarised, with the goal of providing background on their respective abilities to contribute to systems medicine-based studies of lung disease
0903-1936
802-825
Wheelock, Craig E.
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Goss, Victoria
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Balgoma, David
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Nicholas, Ben
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Brandsma, Joost
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Skipp, P. J.
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Snowden, Stuart
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Burg, Dominic W.
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D'Amico, Arnarldo
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Horvarth, Ildiko
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Chaiboonchoe, Amphun
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Ahmed, Hassan
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Ballereau, Stephane
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Rossios, Christos
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Chung, Kian Fan
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Montuschi, Paolo
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Fowler, Stephen J.
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Adcock, Ian M.
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Postle, Anthony D.
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Dahlen, S.-E.
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Rowe, Anthony
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Sterk, Peter J.
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Auffray, Charles
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Djukanovic, Ratko
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Wheelock, Craig E.
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Goss, Victoria
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Balgoma, David
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Nicholas, Ben
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Brandsma, Joost
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Skipp, P. J.
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Snowden, Stuart
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Burg, Dominic W.
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D'Amico, Arnarldo
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Horvarth, Ildiko
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Chaiboonchoe, Amphun
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Ahmed, Hassan
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Ballereau, Stephane
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Rossios, Christos
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Chung, Kian Fan
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Montuschi, Paolo
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Fowler, Stephen J.
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Adcock, Ian M.
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Postle, Anthony D.
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Dahlen, S.-E.
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Rowe, Anthony
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Sterk, Peter J.
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Auffray, Charles
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Djukanovic, Ratko
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Wheelock, Craig E., Goss, Victoria, Balgoma, David, Nicholas, Ben, Brandsma, Joost, Skipp, P. J., Snowden, Stuart, Burg, Dominic W., D'Amico, Arnarldo, Horvarth, Ildiko, Chaiboonchoe, Amphun, Ahmed, Hassan, Ballereau, Stephane, Rossios, Christos, Chung, Kian Fan, Montuschi, Paolo, Fowler, Stephen J., Adcock, Ian M., Postle, Anthony D., Dahlen, S.-E., Rowe, Anthony, Sterk, Peter J., Auffray, Charles and Djukanovic, Ratko (2013) Application of ’omics technologies to biomarker discovery in inflammatory lung diseases. European Respiratory Journal, 42 (3), 802-825. (doi:10.1183/09031936.00078812). (PMID:23397306)

Record type: Article

Abstract

Inflammatory lung diseases are highly complex in respect of pathogenesis and relationships between inflammation, clinical disease and response to treatment. Sophisticated large-scale analytical methods to quantify gene expression (transcriptomics), proteins (proteomics), lipids (lipidomics) and metabolites (metabolomics) in the lungs, blood and urine are now available to identify biomarkers that define disease in terms of combined clinical, physiological and patho-biological abnormalities. The aspiration is that these approaches will improve diagnosis, i.e. define pathological phenotypes, and facilitate the monitoring of disease and therapy, and also, unravel underlying molecular pathways. Biomarker studies can either select predefined biomarker(s) measured by specific methods or apply an “unbiased” approach involving detection platforms that are indiscriminate in focus. This article reviews the technologies presently available to study biomarkers of lung disease within the ’omics field. The contributions of the individual ’omics analytical platforms to the field of respiratory diseases are summarised, with the goal of providing background on their respective abilities to contribute to systems medicine-based studies of lung disease

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Published date: September 2013
Organisations: Faculty of Natural and Environmental Sciences, Clinical & Experimental Sciences

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Local EPrints ID: 356530
URI: https://eprints.soton.ac.uk/id/eprint/356530
ISSN: 0903-1936
PURE UUID: dd06c9fb-c931-42be-9918-683018ddaa26
ORCID for P. J. Skipp: ORCID iD orcid.org/0000-0002-2995-2959
ORCID for Anthony D. Postle: ORCID iD orcid.org/0000-0001-7361-0756
ORCID for Ratko Djukanovic: ORCID iD orcid.org/0000-0001-6039-5612

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Date deposited: 03 Mar 2014 08:40
Last modified: 29 Aug 2019 00:56

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Contributors

Author: Craig E. Wheelock
Author: Victoria Goss
Author: David Balgoma
Author: Ben Nicholas
Author: Joost Brandsma
Author: P. J. Skipp ORCID iD
Author: Stuart Snowden
Author: Dominic W. Burg
Author: Arnarldo D'Amico
Author: Ildiko Horvarth
Author: Amphun Chaiboonchoe
Author: Hassan Ahmed
Author: Stephane Ballereau
Author: Christos Rossios
Author: Kian Fan Chung
Author: Paolo Montuschi
Author: Stephen J. Fowler
Author: Ian M. Adcock
Author: S.-E. Dahlen
Author: Anthony Rowe
Author: Peter J. Sterk
Author: Charles Auffray

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