A charge reversal approach for the sensitive quantification of dicarboxylic acids using Liquid chromatography-tandem mass spectrometry.
1
Biomarker and Neuro-disease Mechanism Lab, Neuroscience Department, Huntington Medical Research Institutes, Pasadena, CA, USA.
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2
Biomarker and Neuro-disease Mechanism Lab, Neuroscience Department, Huntington Medical Research Institutes, Pasadena, CA, USA
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3
Biomarker and Neuro-disease Mechanism Lab, Neuroscience Department, Huntington Medical Research Institutes, Pasadena, CA, USA. Electronic address: alfred.fonteh@hmri.org.
Publication type: Journal Article
Publication date: 2024-11-01
scimago Q1
wos Q1
SJR: 0.731
CiteScore: 7.3
Impact factor: 4.0
ISSN: 00219673, 18733778
PubMed ID:
39423602
Abstract
Dicarboxylic acids (DCAs) are essential for intermediate metabolism and are implicated in multiple processes associated with various diseases. Several DCAs contribute to energy metabolism, impact mitochondrial function, and play a crucial role in body function. However, the low abundance of some DCAs in various body fluids makes their quantification particularly challenging. Therefore, an extremely sensitive method is required to determine DCA level fluctuations in biological samples in different diseases. We developed and optimized an LC-MS/MS method to quantify DCAs. We achieved charge reversal of the compounds from negative to positive ionization through chemical derivatization with dimethylaminophenacyl bromide (DmPABr) targeting the carboxyl group (R-COOH) under mild basic conditions. Derivatization enhanced sensitivity, mass fragmentation, and chromatographic separation for LC-tandem mass spectrometric quantification. The method was analytically optimized and demonstrated excellent linearity for individual DCAs (R2>0.99), as well as an exceptionally lower limit of detection (LLOD<266 fg) and lower limit of quantification (LLOQ<805 fg) for all DCAs. Furthermore, most derivatized DCAs were stable at room temperature and after ten repeated freeze−thaw cycles. After DCA extraction and quantification detection, we found differences in their distribution in plasma and urine. The rank order for DCAs in plasma is C4>C6>C7>C9>C5>C8>C22, whereas in the urine sample, the order is C4>C7>C6>C9>C5>C8>C10. For longer chains (C > 16), their proportions were >10x higher in plasma than in urine. Our optimized method using LC-MS/MS enables the quantification of DCAs with excellent sensitivity. The method will help in future studies investigating dicarboxylic acids' crucial role in health and biomarker discovery studies using targeted metabolomics.
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Jose J. et al. A charge reversal approach for the sensitive quantification of dicarboxylic acids using Liquid chromatography-tandem mass spectrometry. // Journal of Chromatography A. 2024. Vol. 1737. p. 465426.
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Jose J., FONTEH A. N. A charge reversal approach for the sensitive quantification of dicarboxylic acids using Liquid chromatography-tandem mass spectrometry. // Journal of Chromatography A. 2024. Vol. 1737. p. 465426.
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TY - JOUR
DO - 10.1016/j.chroma.2024.465426
UR - https://linkinghub.elsevier.com/retrieve/pii/S0021967324008008
TI - A charge reversal approach for the sensitive quantification of dicarboxylic acids using Liquid chromatography-tandem mass spectrometry.
T2 - Journal of Chromatography A
AU - Jose, Joby
AU - FONTEH, ALFRED N.
PY - 2024
DA - 2024/11/01
PB - Elsevier
SP - 465426
VL - 1737
PMID - 39423602
SN - 0021-9673
SN - 1873-3778
ER -
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@article{2024_Jose,
author = {Joby Jose and ALFRED N. FONTEH},
title = {A charge reversal approach for the sensitive quantification of dicarboxylic acids using Liquid chromatography-tandem mass spectrometry.},
journal = {Journal of Chromatography A},
year = {2024},
volume = {1737},
publisher = {Elsevier},
month = {nov},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0021967324008008},
pages = {465426},
doi = {10.1016/j.chroma.2024.465426}
}