dc.contributor.author	Khamis, Mona M.
dc.date.accessioned	2019-09-16T17:43:20Z
dc.date.available	2019-09-16T17:43:20Z
dc.date.issued	2019-01-24
dc.description.abstract	The diagnosis of asthma and chronic obstructive pulmonary disease (COPD) can be challenging due to the overlap in their clinical presentations in some patients. There is a need for a more objective clinical test that can be routinely used in primary care settings. Through an untargeted 1H NMR urine metabolomic approach, we identified a set of endogenous metabolites as potential biomarkers for the differentiation of asthma and COPD. A subset of these potential biomarkers contains 7 highly polar metabolites of diverse physicochemical properties. To the best of our knowledge, there is no liquid chromatography-tandem mass spectrometry (LC-MS/MS) method that evaluated more than two of the target metabolites in a single analytical run. The target metabolites belong to the families of monosaccharides, organic acids, amino acids, quaternary ammonium compounds and nucleic acids, rendering hydrophilic interaction liquid chromatography (HILIC) an ideal technology for their quantification. Since a clinical decision is to be made from patients data, a fully validated analytical method is required for biomarker validation. Method validation for endogenous metabolites is a daunting task since current guidelines were designed for exogenous compounds. As such, innovative approaches were adopted to meet the validation requirements. Herein, we describe a sensitive HILIC-MS/MS method for the quantification of the 7 endogenous urinary metabolites. Detection was achieved in the multiple reaction monitoring (MRM) mode with polarity switching, using quadrupole-linear ion trap instrument (QTRAP 6500) as well as single ion monitoring in the negative-ion mode. The method was fully validated according to the regulatory guidelines. Linearity was established between 6 and 21000 ng/mL and quality control samples demonstrated acceptable intra- and inter-day accuracy (85.7%-112%), intra- and inter-day precision (CV% <11.5%) as well as stability under various storage and sample processing conditions. To illustrate the method's applicability, the validated method was applied to the analysis of a small set of urine samples collected from asthma and COPD patients. Preliminary modelling of separation was generated using partial least square discriminant analysis (R2 0.752 and Q2 0.57). The adequate separation between patient samples confirms the diagnostic potential of these target metabolites as a proof-of-concept for the differentiation between asthma and COPD. However, more patient urine samples are needed in order to increase the statistical power of the analytical model.	en_US
dc.description.sponsorship	Western Economic Diversification Canada, AllerGen NCE, Saskatchewan Health Research Foundation	en_US
dc.description.version	Peer Reviewed	en_US
dc.identifier.citation	Mona M. Khamis, Darryl J Adamko, Randy W. Purves, and Anas El-Aneed (2018). Quantitative determination of potential urine biomarkers of respiratory illnesses using new targeted metabolomic approach. Analytica Chimica Acta 2018 Jan; 1047:81-92.	en_US
dc.identifier.doi	10.1016/j.aca.2018.09.035
dc.identifier.pmid	30567667
dc.identifier.uri	http://hdl.handle.net/10388/12314
dc.language.iso	en	en_US
dc.publisher	Elsevier	en_US
dc.rights	Attribution-NonCommercial-NoDerivs 2.5 Canada	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/2.5/ca/	*
dc.subject	Asthma; COPD; HILIC-MS/MS; Targeted metabolomics; Urine; Validation	en_US
dc.title	Quantitative determination of potential urine biomarkers of respiratory illnesses using new targeted metabolomic approach	en_US
dc.type	Postprint	en_US

Quantitative determination of potential urine biomarkers of respiratory illnesses using new targeted metabolomic approach

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