Novel HILIC-ESI-MS method for urinary profiling of MSUD and methylmalonic aciduria biomarkers

Author:

Mathew Elizabeth Mary1,Lewis Leslie2,Rao Pragna3,Nalini K3,Kamath Asha4,Moorkoth Sudheer1

Affiliation:

1. Department of Pharmaceutical Quality Assurance, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India

2. Department of Paediatrics, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India

3. Department of Biochemistry, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India

4. Department of Statistics, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India

Abstract

AbstractMethyl malonic acid and branched-chain keto acids are important biomarkers for the diagnosis of cobalamin deficiencies and maple syrup urine disease. We report the development and validation of a HILIC-ESI-MS2 method for the quantification of these organic acids from neonatal urine. The samples were 100 times diluted and analyzed on a ZIC-HILIC column with 25-mM formic acid in water: 25-mM formic acid in acetonitrile (45:55) at a flow rate of 0.8 mL/min with a runtime of only 6 minutes. The method demonstrated a lower limit of detection of 10 ng/mL, Limit of Quantification (LOQ) of 50 ng/mL, linearity of r2 ≥ 0.990 and recoveries of 87–105% for all analytes. The intraday and interday precision CV’s were <10% and 12%, respectively. Extensive stability studies demonstrated the analytes to be stable in stock and in matrix with a percent change within ±15%. The Bland–Altman analysis of the developed method with the gold standard GCMS method demonstrated a bias of 0.44, 0.11, 0.009 and –0.19 for methyl malonic acid, 3-methyl-2-oxovaleric acid, 2-hydroxy-3methylbutyric acid and 4-methyl-2-oxovaleric acid, respectively, proving the methods are comparable. The newly developed method involves no derivatization and has a simple sample preparation and a low runtime, enabling it to be easily automated with a high sample throughput in a cost-effective manner.

Funder

Vision Group of Science and Technology, Government of Karnataka

Grand Challenges Canada

Government of Canada

Publisher

Oxford University Press (OUP)

Subject

General Medicine,Analytical Chemistry

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