The differential metabolite profiles of acute lymphoblastic leukaemic patients treated with 6-mercaptopurine using untargeted metabolomics approach

Background: Acute lymphoblastic leukaemia (ALL) has posed challenges to the clinician due to variable patients' responses and late diagnosis. With the advance in metabolomics, early detection and personalised treatment are possible. Methods: Metabolomic profile of 21 ALL patients treated with 6...

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Published in:Clinical Biochemistry
Main Author: Bannur Z.; Teh L.K.; Hennesy T.; Rosli W.R.W.; Mohamad N.; Nasir A.; Ankathil R.; Zakaria Z.A.; Baba A.; Salleh M.Z.
Format: Article
Language:English
Published: Elsevier Inc. 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897111004&doi=10.1016%2fj.clinbiochem.2014.02.013&partnerID=40&md5=23dfee2a0fcc552213b9497e3d6c52ca
id 2-s2.0-84897111004
spelling 2-s2.0-84897111004
Bannur Z.; Teh L.K.; Hennesy T.; Rosli W.R.W.; Mohamad N.; Nasir A.; Ankathil R.; Zakaria Z.A.; Baba A.; Salleh M.Z.
The differential metabolite profiles of acute lymphoblastic leukaemic patients treated with 6-mercaptopurine using untargeted metabolomics approach
2014
Clinical Biochemistry
47
6
10.1016/j.clinbiochem.2014.02.013
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897111004&doi=10.1016%2fj.clinbiochem.2014.02.013&partnerID=40&md5=23dfee2a0fcc552213b9497e3d6c52ca
Background: Acute lymphoblastic leukaemia (ALL) has posed challenges to the clinician due to variable patients' responses and late diagnosis. With the advance in metabolomics, early detection and personalised treatment are possible. Methods: Metabolomic profile of 21 ALL patients treated with 6-mercaptopurine and 10 healthy volunteers were analysed using liquid chromatography/mass spectrometry quadrupole-time of flight (LC/MS Q-TOF). Principal components analysis (PCA), recursive analysis, clustering and pathway analysis were performed using MassHunter Qualitative and Mass Profiler Professional (MPP) software. Results: Several metabolites were found to be expressed differently in patients treated with 6-mercaptopurine. Interestingly, 13 metabolites were significantly differently expressed [. p-value <. 0.01 (unpaired t-test) and 2-fold change] in 19% of the patients who had relapses in their treatment. Down-regulated metabolites in relapsed patients were 1-tetrahexanoyl-2-(8-[3]-ladderane-octanyl)-sn-GPEtn, GPEtn (18:1(9Z)/0:0), GPCho(O-6:0/O-6:0), GPCho(O-2:0/O-1:0), methyl 8-[2-(2-formyl-vinyl)-3-hydroxy-5-oxo-cyclopentyl]-octanoate and plasma free amino acids (PFAA). Characterizing the subjects according to their ITPA 94C>A genotypes reveal differential expression of metabolites. Conclusions: Our research contributes to identification of metabolites that could be used to monitor disease progress of patients and allow targeted therapy for ALL at different stages, especially in preventing complication of relapse. © 2014 The Canadian Society of Clinical Chemists.
Elsevier Inc.
00099120
English
Article

author Bannur Z.; Teh L.K.; Hennesy T.; Rosli W.R.W.; Mohamad N.; Nasir A.; Ankathil R.; Zakaria Z.A.; Baba A.; Salleh M.Z.
spellingShingle Bannur Z.; Teh L.K.; Hennesy T.; Rosli W.R.W.; Mohamad N.; Nasir A.; Ankathil R.; Zakaria Z.A.; Baba A.; Salleh M.Z.
The differential metabolite profiles of acute lymphoblastic leukaemic patients treated with 6-mercaptopurine using untargeted metabolomics approach
author_facet Bannur Z.; Teh L.K.; Hennesy T.; Rosli W.R.W.; Mohamad N.; Nasir A.; Ankathil R.; Zakaria Z.A.; Baba A.; Salleh M.Z.
author_sort Bannur Z.; Teh L.K.; Hennesy T.; Rosli W.R.W.; Mohamad N.; Nasir A.; Ankathil R.; Zakaria Z.A.; Baba A.; Salleh M.Z.
title The differential metabolite profiles of acute lymphoblastic leukaemic patients treated with 6-mercaptopurine using untargeted metabolomics approach
title_short The differential metabolite profiles of acute lymphoblastic leukaemic patients treated with 6-mercaptopurine using untargeted metabolomics approach
title_full The differential metabolite profiles of acute lymphoblastic leukaemic patients treated with 6-mercaptopurine using untargeted metabolomics approach
title_fullStr The differential metabolite profiles of acute lymphoblastic leukaemic patients treated with 6-mercaptopurine using untargeted metabolomics approach
title_full_unstemmed The differential metabolite profiles of acute lymphoblastic leukaemic patients treated with 6-mercaptopurine using untargeted metabolomics approach
title_sort The differential metabolite profiles of acute lymphoblastic leukaemic patients treated with 6-mercaptopurine using untargeted metabolomics approach
publishDate 2014
container_title Clinical Biochemistry
container_volume 47
container_issue 6
doi_str_mv 10.1016/j.clinbiochem.2014.02.013
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897111004&doi=10.1016%2fj.clinbiochem.2014.02.013&partnerID=40&md5=23dfee2a0fcc552213b9497e3d6c52ca
description Background: Acute lymphoblastic leukaemia (ALL) has posed challenges to the clinician due to variable patients' responses and late diagnosis. With the advance in metabolomics, early detection and personalised treatment are possible. Methods: Metabolomic profile of 21 ALL patients treated with 6-mercaptopurine and 10 healthy volunteers were analysed using liquid chromatography/mass spectrometry quadrupole-time of flight (LC/MS Q-TOF). Principal components analysis (PCA), recursive analysis, clustering and pathway analysis were performed using MassHunter Qualitative and Mass Profiler Professional (MPP) software. Results: Several metabolites were found to be expressed differently in patients treated with 6-mercaptopurine. Interestingly, 13 metabolites were significantly differently expressed [. p-value <. 0.01 (unpaired t-test) and 2-fold change] in 19% of the patients who had relapses in their treatment. Down-regulated metabolites in relapsed patients were 1-tetrahexanoyl-2-(8-[3]-ladderane-octanyl)-sn-GPEtn, GPEtn (18:1(9Z)/0:0), GPCho(O-6:0/O-6:0), GPCho(O-2:0/O-1:0), methyl 8-[2-(2-formyl-vinyl)-3-hydroxy-5-oxo-cyclopentyl]-octanoate and plasma free amino acids (PFAA). Characterizing the subjects according to their ITPA 94C>A genotypes reveal differential expression of metabolites. Conclusions: Our research contributes to identification of metabolites that could be used to monitor disease progress of patients and allow targeted therapy for ALL at different stages, especially in preventing complication of relapse. © 2014 The Canadian Society of Clinical Chemists.
publisher Elsevier Inc.
issn 00099120
language English
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