Rapid and efficient LC-MS/MS diagnosis of inherited metabolic disorders: a semi-automated workflow for analysis of organic acids, acylglycines, and acylcarnitines in urine

Author:

Piskláková Barbora1ORCID,Friedecká Jaroslava1ORCID,Ivanovová Eliška1ORCID,Hlídková Eva2,Bekárek Vojtěch2,Prídavok Matúš3,Kvasnička Aleš1ORCID,Adam Tomáš245ORCID,Friedecký David12ORCID

Affiliation:

1. Faculty of Medicine and Dentistry , Palacký University Olomouc , Olomouc , Czech Republic

2. Laboratory for Inherited Metabolic Disorders, Department of Clinical Biochemistry , University Hospital Olomouc , Olomouc , Czech Republic

3. Department of Laboratory Medicine, Centre for Inherited Metabolic Disorders , National Institute of Children’s Diseases , Bratislava , Slovakia

4. Institute of Molecular and Translational Medicine, Czech Advanced Technology and Research Institute (CATRIN), Palacky University Olomouc , Olomouc , Czech Republic

5. Faculty of Health Care , Slovak Medical University , Banská Bystrica , Slovakia

Abstract

Abstract Objectives The analysis of organic acids in urine is an important part of the diagnosis of inherited metabolic disorders (IMDs), for which gas chromatography coupled with mass spectrometry is still predominantly used. Methods Ultra-performance liquid chromatography-tandem mass spectrometry (LC-MS/MS) assay for urinary organic acids, acylcarnitines and acylglycines was developed and validated. Sample preparation consists only of dilution and the addition of internal standards. Raw data processing is quick and easy using selective scheduled multiple reaction monitoring mode. A robust standardised value calculation as a data transformation together with advanced automatic visualisation tools are applied for easy evaluation of complex data. Results The developed method covers 146 biomarkers consisting of organic acids (n=99), acylglycines (n=15) and acylcarnitines (n=32) including all clinically important isomeric compounds present. Linearity with r2>0.98 for 118 analytes, inter-day accuracy between 80 and 120 % and imprecision under 15 % for 120 analytes were achieved. Over 2 years, more than 800 urine samples from children tested for IMDs were analysed. The workflow was evaluated on 93 patient samples and ERNDIM External Quality Assurance samples involving a total of 34 different IMDs. Conclusions The established LC-MS/MS workflow offers a comprehensive analysis of a wide range of organic acids, acylcarnitines and acylglycines in urine to perform effective, rapid and sensitive semi-automated diagnosis of more than 80 IMDs.

Funder

Czech Health Research Council AZV CR

Czech Republic - conceptual development of research organization

Publisher

Walter de Gruyter GmbH

Subject

Biochemistry (medical),Clinical Biochemistry,General Medicine

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