Targeted metabolomics identifies perturbations in amino acid metabolism that sub-classify patients with COPD

Background: COPD, a leading cause of mortality is currently assessed by spirometry (forced expiratory volume in 1 second, FEV1). However FEV1 does not correlate with patient mortality. ECLIPSE (Evaluation of Chronic obstructive pulmonary disease to Longitudinally Identify Predictive Surrogate Endpoi...

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Main Authors: Ubhi, Baljit K., Kian, Kai Cheng, Dong, Jiyang, Janowitz, Tobias, Jodrell, Duncan, Singer, Ruth Tal, MacNee, William, Lomas, David A., Riley, John H., Griffinai, Julian L., Connora, Susan C.
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Published: The Royal Society of Chemistry 2012
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Online Access:http://eprints.utm.my/id/eprint/47581/
http://dx.doi.org/10.1039/c2mb25194a
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spelling my.utm.475812019-03-05T02:54:15Z http://eprints.utm.my/id/eprint/47581/ Targeted metabolomics identifies perturbations in amino acid metabolism that sub-classify patients with COPD Ubhi, Baljit K. Kian, Kai Cheng Dong, Jiyang Janowitz, Tobias Jodrell, Duncan Singer, Ruth Tal MacNee, William Lomas, David A. Riley, John H. Griffinai, Julian L. Connora, Susan C. QH301 Biology Background: COPD, a leading cause of mortality is currently assessed by spirometry (forced expiratory volume in 1 second, FEV1). However FEV1 does not correlate with patient mortality. ECLIPSE (Evaluation of Chronic obstructive pulmonary disease to Longitudinally Identify Predictive Surrogate Endpoints) aims to identify biomarkers that correlate with clinically relevant COPD subtypes, and to assess how these may predict disease progression. New methods were developed and validated to evaluate small molecules as potential diagnostic tools in patients with COPD, COPD related cachexia and cancer related cachexia. Methods and findings: quantitative LC-MS/MS was developed to measure 34 amino acids and dipeptides for stratification of patient groups. Subsets of the ECLIPSE patients were used to assess biomarkers of lung obstruction; GOLD IV (n = 30) versus control (n = 30); emphysema (n = 38) versus airways disease (n = 21) and cachexia (n = 30) versus normal body mass index (n = 30). Serum from cachexic (n = 7) and non-cachexic (n = 5) pancreatic cancer patients were included as controls. Targeted LC-MS/MS distinguished GOLD IV patients from controls, patients with and without emphysema and patients with and without cachexia. Glutamine, aspartate and arginine were significantly increased (p < 0.05; FDR adjustment α < 0.1) in cachexia, emphysema and GOLD IV patients and aminoadipate was decreased. Several amino acid concentrations were significantly altered in patients with COPD but not patients with pancreatic cancer (serine, sarcosine, tryptophan, BCAAs and 3-methylhistdine). Increased γ-aminobutyrate (GABA, p < 0.01) levels were specific to cachexia in patients with pancreatic cancer. β-aminoisobutyrate, 1-methylhistidine and asparagine (p < 0.05) were common across the patients with cachexia from both the COPD and pancreatic cancer cohorts. Conclusion: these results demonstrate that a metabolomic fingerprint has potential to stratify patients for the treatment of COPD and may provide a means of assessing response to therapy. GOLD IV patients were distinguished from smoker control subjects, patients with emphysema were distinguished from those without emphysema and COPD patients displaying cachexia were distinguished from those not displaying cachexia. General markers of cachexia were discovered reflecting both COPD- and pancreatic cancer-related cachexia (increased glutamine, aspartate, arginine, and asparagine and decreased aminoadipate, β-aminoisobutyrate and 1-methylhistidine). Metabolomic biomarkers, particularly altered levels of GABA, could be exploited as a way of monitoring treatment efficacy and tumour recurrence for patients with pancreatic cancer experiencing cachexia. The Royal Society of Chemistry 2012-12 Article PeerReviewed Ubhi, Baljit K. and Kian, Kai Cheng and Dong, Jiyang and Janowitz, Tobias and Jodrell, Duncan and Singer, Ruth Tal and MacNee, William and Lomas, David A. and Riley, John H. and Griffinai, Julian L. and Connora, Susan C. (2012) Targeted metabolomics identifies perturbations in amino acid metabolism that sub-classify patients with COPD. Molecular BioSystems, 8 (12). pp. 3125-3133. ISSN 1742-206X http://dx.doi.org/10.1039/c2mb25194a DOI:10.1039/c2mb25194a
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QH301 Biology
spellingShingle QH301 Biology
Ubhi, Baljit K.
Kian, Kai Cheng
Dong, Jiyang
Janowitz, Tobias
Jodrell, Duncan
Singer, Ruth Tal
MacNee, William
Lomas, David A.
Riley, John H.
Griffinai, Julian L.
Connora, Susan C.
Targeted metabolomics identifies perturbations in amino acid metabolism that sub-classify patients with COPD
description Background: COPD, a leading cause of mortality is currently assessed by spirometry (forced expiratory volume in 1 second, FEV1). However FEV1 does not correlate with patient mortality. ECLIPSE (Evaluation of Chronic obstructive pulmonary disease to Longitudinally Identify Predictive Surrogate Endpoints) aims to identify biomarkers that correlate with clinically relevant COPD subtypes, and to assess how these may predict disease progression. New methods were developed and validated to evaluate small molecules as potential diagnostic tools in patients with COPD, COPD related cachexia and cancer related cachexia. Methods and findings: quantitative LC-MS/MS was developed to measure 34 amino acids and dipeptides for stratification of patient groups. Subsets of the ECLIPSE patients were used to assess biomarkers of lung obstruction; GOLD IV (n = 30) versus control (n = 30); emphysema (n = 38) versus airways disease (n = 21) and cachexia (n = 30) versus normal body mass index (n = 30). Serum from cachexic (n = 7) and non-cachexic (n = 5) pancreatic cancer patients were included as controls. Targeted LC-MS/MS distinguished GOLD IV patients from controls, patients with and without emphysema and patients with and without cachexia. Glutamine, aspartate and arginine were significantly increased (p < 0.05; FDR adjustment α < 0.1) in cachexia, emphysema and GOLD IV patients and aminoadipate was decreased. Several amino acid concentrations were significantly altered in patients with COPD but not patients with pancreatic cancer (serine, sarcosine, tryptophan, BCAAs and 3-methylhistdine). Increased γ-aminobutyrate (GABA, p < 0.01) levels were specific to cachexia in patients with pancreatic cancer. β-aminoisobutyrate, 1-methylhistidine and asparagine (p < 0.05) were common across the patients with cachexia from both the COPD and pancreatic cancer cohorts. Conclusion: these results demonstrate that a metabolomic fingerprint has potential to stratify patients for the treatment of COPD and may provide a means of assessing response to therapy. GOLD IV patients were distinguished from smoker control subjects, patients with emphysema were distinguished from those without emphysema and COPD patients displaying cachexia were distinguished from those not displaying cachexia. General markers of cachexia were discovered reflecting both COPD- and pancreatic cancer-related cachexia (increased glutamine, aspartate, arginine, and asparagine and decreased aminoadipate, β-aminoisobutyrate and 1-methylhistidine). Metabolomic biomarkers, particularly altered levels of GABA, could be exploited as a way of monitoring treatment efficacy and tumour recurrence for patients with pancreatic cancer experiencing cachexia.
format Article
author Ubhi, Baljit K.
Kian, Kai Cheng
Dong, Jiyang
Janowitz, Tobias
Jodrell, Duncan
Singer, Ruth Tal
MacNee, William
Lomas, David A.
Riley, John H.
Griffinai, Julian L.
Connora, Susan C.
author_facet Ubhi, Baljit K.
Kian, Kai Cheng
Dong, Jiyang
Janowitz, Tobias
Jodrell, Duncan
Singer, Ruth Tal
MacNee, William
Lomas, David A.
Riley, John H.
Griffinai, Julian L.
Connora, Susan C.
author_sort Ubhi, Baljit K.
title Targeted metabolomics identifies perturbations in amino acid metabolism that sub-classify patients with COPD
title_short Targeted metabolomics identifies perturbations in amino acid metabolism that sub-classify patients with COPD
title_full Targeted metabolomics identifies perturbations in amino acid metabolism that sub-classify patients with COPD
title_fullStr Targeted metabolomics identifies perturbations in amino acid metabolism that sub-classify patients with COPD
title_full_unstemmed Targeted metabolomics identifies perturbations in amino acid metabolism that sub-classify patients with COPD
title_sort targeted metabolomics identifies perturbations in amino acid metabolism that sub-classify patients with copd
publisher The Royal Society of Chemistry
publishDate 2012
url http://eprints.utm.my/id/eprint/47581/
http://dx.doi.org/10.1039/c2mb25194a
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