Mass Spectrometry Assays of Vitamin D Metabolites

Martin Kaufmann, Lusia Sepiashvili, Ravinder Jit Singh

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations

Abstract

Liquid chromatography tandem mass spectrometry (LC-MS/MS) has emerged as the gold standard technique with the capability for reliable, accurate, and high-throughput quantification of circulating vitamin D metabolites. The complexity of vitamin D metabolism has driven the continuous development of the basic steps involved in LC-MS/MS methodology including sample extraction, derivatization, separation, and mass spectrometry, used to interrogate the role of vitamin D nutrition and metabolism in human health and disease states. From the perspective of both the high-throughput clinical chemistry laboratory and basic research applications, this chapter describes how LC-MS/MS can be optimized to provide sensitive and specific measurements of 25-hydroxyvitamin D, along with other low-abundance metabolites including 24-25-dihydroxyvitamin D and 1,25-dihydroxyvitamin D, simultaneously. Furthermore, we describe the advantages of using LC-MS/MS in studying mouse models of vitamin D metabolism and how this work has contributed to an improved understanding of the pathophysiology of certain vitamin D-related disease states.

Original languageEnglish (US)
Title of host publicationBiochemistry, Physiology and Diagnostics
PublisherElsevier Inc.
Pages909-923
Number of pages15
Volume1
ISBN (Electronic)9780128099667
ISBN (Print)9780128099650
DOIs
StatePublished - Dec 18 2017

Keywords

  • Chemical derivatization
  • Hypercalcemia
  • Knockout mouse
  • Liquid chromatography tandem mass spectrometry
  • Vitamin D metabolite

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

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  • Cite this

    Kaufmann, M., Sepiashvili, L., & Singh, R. J. (2017). Mass Spectrometry Assays of Vitamin D Metabolites. In Biochemistry, Physiology and Diagnostics (Vol. 1, pp. 909-923). Elsevier Inc.. https://doi.org/10.1016/B978-0-12-809965-0.00050-1