1
|
Qu F, Zhang M, Weinstock-Guttman B, Zivadinov R, Qu J, Zhu X, Ramanathan M. An ultra-sensitive and high-throughput trapping-micro-LC-MS method for quantification of circulating vitamin D metabolites and application in multiple sclerosis patients. Sci Rep 2024; 14:5545. [PMID: 38448553 PMCID: PMC10918069 DOI: 10.1038/s41598-024-55939-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 02/29/2024] [Indexed: 03/08/2024] Open
Abstract
Quantitative analysis of the biologically-active metabolites of vitamin D (VitD), which are crucial in regulating various physiological and pathological processes, is important for clinical investigations. Liquid chromatography-tandem mass spectrometry (LC-MS) has been widely used for this purpose but existing LC-MS methods face challenges in achieving highly sensitive and accurate quantification of low-abundance VitD metabolites while maintaining high throughput and robustness. Here we developed a novel pipeline that combines a trapping-micro-LC-(T-µLC) with narrow-window-isolation selected-reaction monitoring MS(NWI-SRM) for ultra-sensitive, robust and high-throughput quantification of VitD metabolites in serum samples after derivatization. The selective-trapping and delivery approach efficiently removes matrix components, enabling high-capacity sample loading and enhancing sensitivity, throughput, and robustness. The NWI-SRM further improves the sensitivity by providing high selectivity. The lower limits of quantification (LOQs) achieved were markedly lower than any existing LC-MS methods: 1.0 pg/mL for 1,25(OH)2D3, 5.0 pg/mL for 24,25(OH)2D3, 30 pg/mL for both 25(OH)D2 and 25(OH)D3, all within a 9-min cycle. The method is applied to quantify VitD metabolites from 218 patients with multiple sclerosis. This study revealed negative correlations(r=- 0.44 to - 0.51) between the levels of 25(OH)D2 and all the three D3 metabolites in multiple sclerosis patients.
Collapse
Affiliation(s)
- Flora Qu
- Department of Biochemistry, University at Buffalo, State University of New York, Buffalo, NY, USA
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Ming Zhang
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, Jacobs Comprehensive MS Treatment and Research Center, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
- Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Jun Qu
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
- New York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo, NY, USA
| | - Xiaoyu Zhu
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
| | - Murali Ramanathan
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
| |
Collapse
|
2
|
Xu Z, Yu K, Zhang M, Ju Y, He J, Jiang Y, Li Y, Jiang J. Accurate Clinical Detection of Vitamin D by Mass Spectrometry: A Review. Crit Rev Anal Chem 2024:1-25. [PMID: 38376891 DOI: 10.1080/10408347.2024.2316237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
Vitamin D deficiency is thought to be associated with a wide range of diseases, including diabetes, cancer, depression, neurodegenerative diseases, and cardiovascular and cerebrovascular diseases. This vitamin D deficiency is a global epidemic affecting both developing and developed countries and therefore qualitative and quantitative analysis of vitamin D in a clinical context is essential. Mass spectrometry has played an increasingly important role in the clinical analysis of vitamin D because of its accuracy, sensitivity, specificity, and the ability to detect multiple substances at the same time. Despite their many advantages, mass spectrometry-based methods are not without analytical challenges. Front-end and back-end challenges such as protein precipitation, analyte extraction, derivatization, mass spectrometer functionality, must be carefully considered to provide accurate and robust analysis of vitamin D through a well-designed approach with continuous control by internal and external quality control. Therefore, the aim of this review is to provide a comprehensive overview of the development of mass spectrometry methods for vitamin D accurate analysis, including emphasis on status markers, deleterious effects of biological matrices, derivatization reactions, effects of ionization sources, contribution of epimers, standardization of assays between laboratories.
Collapse
Affiliation(s)
- Zhilong Xu
- School of Marine Science and Technology, Harbin Institute of Technology (Weihai), Weihai, China
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, China
| | - Kai Yu
- School of Marine Science and Technology, Harbin Institute of Technology (Weihai), Weihai, China
| | - Meng Zhang
- School of Marine Science and Technology, Harbin Institute of Technology (Weihai), Weihai, China
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, China
| | - Yun Ju
- School of Marine Science and Technology, Harbin Institute of Technology (Weihai), Weihai, China
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, China
| | - Jing He
- School of Marine Science and Technology, Harbin Institute of Technology (Weihai), Weihai, China
| | - Yanxiao Jiang
- School of Marine Science and Technology, Harbin Institute of Technology (Weihai), Weihai, China
| | - Yunuo Li
- College of Natural Resources and Environment, Northwest A&F University, Yangling, China
| | - Jie Jiang
- School of Marine Science and Technology, Harbin Institute of Technology (Weihai), Weihai, China
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, China
- State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China
| |
Collapse
|