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Hobert JA, Guymon R, Yuzyuk T, Pasquali M. Acylglycine Analysis by Ultra-Performance Liquid Chromatography-Tandem Mass Spectrometry (UPLC-MS/MS). Curr Protoc 2023; 3:e758. [PMID: 37099696 DOI: 10.1002/cpz1.758] [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: 04/28/2023]
Abstract
Quantitative analysis of urine acylglycines has shown to be a highly sensitive and specific method with proven clinical utility for the diagnosis of several inherited metabolic disorders including: medium chain acyl-CoA dehydrogenase deficiency, multiple acyl-CoA dehydrogenase deficiency, short chain acyl-CoA dehydrogenase deficiency, 3-methylcrotonyl-CoA carboxylase deficiency, 2-methylbutyryl-CoA dehydrogenase deficiency, isovaleric acidemia, propionic academia, and isobutyryl-CoA dehydrogenase deficiency. Here, a method that is currently performed using ultra-performance liquid chromatography/tandem mass spectrometry (UPLC-MS/MS) is described. © 2023 Wiley Periodicals LLC. Basic Protocol: Urinary acylglycine analysis by UPLC-MS/MS Support Protocol 1: Quality control preparation Support Protocol 2: Internal standard (ISTD) preparation Support Protocol 3: Standard (STD)/calibrator preparation.
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Affiliation(s)
- Judith A Hobert
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah
- ARUP Laboratories, Salt Lake City, Utah
- ARUP Institute for Clinical and Experimental Pathology, University of Utah, Salt Lake City, Utah
| | | | - Tatiana Yuzyuk
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah
- ARUP Laboratories, Salt Lake City, Utah
- ARUP Institute for Clinical and Experimental Pathology, University of Utah, Salt Lake City, Utah
| | - Marzia Pasquali
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah
- ARUP Laboratories, Salt Lake City, Utah
- ARUP Institute for Clinical and Experimental Pathology, University of Utah, Salt Lake City, Utah
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Xiang L, Ru Y, Shi J, Wang L, Zhao H, Huang Y, Cai Z. Derivatization of N-Acyl Glycines by 3-Nitrophenylhydrazine for Targeted Metabolomics Analysis and Their Application to the Study of Diabetes Progression in Mice. Anal Chem 2023; 95:2183-2191. [PMID: 36657965 PMCID: PMC9893217 DOI: 10.1021/acs.analchem.2c02507] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
N-Acyl glycines (NAGlys) are an important class of metabolites in the detoxification system of the human body. They have been used in the diagnosis of several metabolic diseases. Liquid chromatography-mass spectrometry (LC-MS) is the most frequently used NAGlys detection platform. Here, we describe a simple and sensitive method of NAGlys detection by LC-MS in plasma and urine samples. This approach is based on the use of a derivatization reagent, 3-nitrophenylhydrazine. The reaction is quick in aqueous solution, and no quenching step is needed. To expand the coverage of NAGlys when standards are not available, NAGlys were first identified based on high-resolution LC-MS. Quantification was subsequently carried out on triple quadrupole LC-MS. This approach allowed a much broader measurement of NAGlys (41 NAGlys in total), especially when authentic standards are unavailable. Comprehensive analysis of NAGlys with this new method was applied in plasma and urine samples of db/db diabetic and non-diabetic db/m+ control mice. The majority of detected NAGlys were altered with high differentiation ability in plasma and urine samples from diabetic and non-diabetic mice. These identified NAGlys hold the potential to be diagnostic biomarkers for type II diabetes and diabetic complications.
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Affiliation(s)
- Li Xiang
- State
Key Laboratory of Environmental and Biological Analysis, Department
of Chemistry, Hong Kong Baptist University, Hong Kong 999077, China
| | - Yi Ru
- State
Key Laboratory of Environmental and Biological Analysis, Department
of Chemistry, Hong Kong Baptist University, Hong Kong 999077, China
| | - Jingchun Shi
- State
Key Laboratory of Environmental and Biological Analysis, Department
of Chemistry, Hong Kong Baptist University, Hong Kong 999077, China
| | - Li Wang
- Department
of Biomedical Sciences, City University
of Hong Kong, Hong Kong 999077, China
| | - Hongzhi Zhao
- Ministry
of Education Key Laboratory of Pollution Processes and Environmental
Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Yu Huang
- Department
of Biomedical Sciences, City University
of Hong Kong, Hong Kong 999077, China,
| | - Zongwei Cai
- State
Key Laboratory of Environmental and Biological Analysis, Department
of Chemistry, Hong Kong Baptist University, Hong Kong 999077, China,
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Hobert JA, De Biase I, Yuzyuk T, Pasquali M. Quantitative analysis of urine acylglycines by ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS): Reference intervals and disease specific patterns in individuals with organic acidemias and fatty acid oxidation disorders. Clin Chim Acta 2021; 523:285-289. [PMID: 34634292 DOI: 10.1016/j.cca.2021.10.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 10/05/2021] [Accepted: 10/06/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND Acylglycine species accumulate in specific disorders of branched-chain amino acid metabolism and fatty acid β-oxidation. These species are excreted in urine and their analysis can facilitate diagnosis. Previous studies evaluated reference ranges and increases in metabolic patients, but these involved small numbers of individuals. We have conducted an analysis encompassing large numbers of individuals to better characterize the reference ranges of these analytes and additionally describe our findings from patients with confirmed metabolic disorders. METHODS We conducted a retrospective analysis of approximately 9 y of urine acylglycine data from our clinical laboratory. Acylglycines were extracted from urine, derivatized and analyzed using UPLC-MS/MS. Reference ranges were determined from the non-diseased population. Data from confirmed patients were used to document the range of increases observed in these conditions and to generate multiple of the median graphs. RESULTS In total, 6162 urine specimens from 5633 patients with and without metabolic disorders were analyzed. Magnitude and pattern of acylglycine elevations in patients with confirmed metabolic disorders were documented. CONCLUSION This manuscript extends our previously published method by providing the reference ranges and disease specific elevations and patterns of urine acylglycine species using the largest data set published to date.
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Affiliation(s)
- Judith A Hobert
- Department of Pathology, University of Utah, Salt Lake City, UT, United States; ARUP Laboratories, Salt Lake City, UT, United States; ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, UT, United States.
| | - Irene De Biase
- Department of Pathology, University of Utah, Salt Lake City, UT, United States; ARUP Laboratories, Salt Lake City, UT, United States; ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, UT, United States
| | - Tatiana Yuzyuk
- Department of Pathology, University of Utah, Salt Lake City, UT, United States; ARUP Laboratories, Salt Lake City, UT, United States; ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, UT, United States
| | - Marzia Pasquali
- Department of Pathology, University of Utah, Salt Lake City, UT, United States; ARUP Laboratories, Salt Lake City, UT, United States; ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, UT, United States
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Hobert JA, Liu A, Pasquali M. Acylglycine Analysis by Ultra‐Performance Liquid Chromatography‐Tandem Mass Spectrometry (UPLC‐MS/MS). ACTA ACUST UNITED AC 2018; 91:17.25.1-17.25.12. [DOI: 10.1002/cphg.19] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Judith A. Hobert
- Department of Pathology, University of Utah School of Medicine Salt Lake City Utah
- ARUP Laboratories Salt Lake City Utah
- ARUP Institute for Clinical and Experimental Pathology, University of Utah Salt Lake City Utah
| | - Aiping Liu
- ARUP Institute for Clinical and Experimental Pathology, University of Utah Salt Lake City Utah
| | - Marzia Pasquali
- Department of Pathology, University of Utah School of Medicine Salt Lake City Utah
- ARUP Laboratories Salt Lake City Utah
- ARUP Institute for Clinical and Experimental Pathology, University of Utah Salt Lake City Utah
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Wang H, Xie S. Identification ofl-carnitine and its impurities in food supplement formulations by online column-switching liquid chromatography coupled with linear ion trap mass spectrometry. J Sep Sci 2016; 40:431-441. [DOI: 10.1002/jssc.201600652] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2016] [Revised: 10/09/2016] [Accepted: 11/03/2016] [Indexed: 12/18/2022]
Affiliation(s)
- Hang Wang
- Instrumental Analysis Center; Shanghai Jiao Tong University; Shanghai P.R. China
| | - Sijun Xie
- Instrumental Analysis Center; Shanghai Jiao Tong University; Shanghai P.R. China
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Development of solid phase extraction strategies to minimize the effect of human urine matrix effect on the response of carnitine by UPLC–MS/MS. Microchem J 2016. [DOI: 10.1016/j.microc.2016.07.018] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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Measurement of serum aldosterone in picomolar level by LC-MS/MS using charge-tagged technique. Anal Bioanal Chem 2015; 407:7765-74. [DOI: 10.1007/s00216-015-8944-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2015] [Revised: 07/20/2015] [Accepted: 07/28/2015] [Indexed: 10/23/2022]
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Leung KSY, Fong BMW. LC–MS/MS in the routine clinical laboratory: has its time come? Anal Bioanal Chem 2013; 406:2289-301. [DOI: 10.1007/s00216-013-7542-5] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2013] [Revised: 11/18/2013] [Accepted: 11/28/2013] [Indexed: 11/30/2022]
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Furey A, Moriarty M, Bane V, Kinsella B, Lehane M. Ion suppression; a critical review on causes, evaluation, prevention and applications. Talanta 2013; 115:104-22. [PMID: 24054567 DOI: 10.1016/j.talanta.2013.03.048] [Citation(s) in RCA: 302] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2012] [Revised: 03/17/2013] [Accepted: 03/20/2013] [Indexed: 11/30/2022]
Abstract
The consequences of matrix effects in mass spectrometry analysis are a major issue of concern to analytical chemists. The identification of any ion suppressing (or enhancing) agents caused by sample matrix, solvent or LC-MS system components should be quantified and measures should be taken to eliminate or reduce the problem. Taking account of ion suppression should form part of the optimisation and validation of any quantitative LC-MS method. For example the US Food and Drug Administration has included the evaluation of matrix effects in its "Guidance for Industry on Bioanalytical Method Validation" (F.D.A. Department of Health and Human Services, Guidance for industry on bioanalytical method validation, Fed. Regist. 66 (100) 2001). If ion suppression is not assessed and corrected in an analytical method, the sensitivity of the LC-MS method can be seriously undermined, and it is possible that the target analyte may be undetected even when using very sensitive instrumentation. Sample analysis may be further complicated in cases where there are large sample-to-sample matrix variations (e.g. blood samples from different people can sometimes vary in certain matrix components, shellfish tissue samples sourced from different regions where different phytoplankton food sources are present, etc) and therefore exhibit varying ion-suppression effects. Although it is widely agreed that there is no generic method to overcome ion suppression, the purpose of this review is to: provide an overview of how ion suppression occurs, outline the methodologies used to assess and quantify the impact of ion suppression, discuss the various corrective actions that have been used to eliminate ion suppression in sample analysis, that is to say the deployment of techniques that eliminate or reduce the components in the sample matrix that cause ion suppression. This review article aims to collect together the latest information on the causes of ion suppression in LC-MS analysis and to consider the efficacy of common approaches to eliminate or reduce the problem using relevant examples published in the literature.
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Affiliation(s)
- Ambrose Furey
- Mass Spectrometry Research Centre (MSRC), Department of Chemistry, Cork Institute of Technology, Cork, Ireland; Team Elucidate/Mass Spectrometry Centre for Proteomic and Biotoxin Research (PROTEOBIO), Department of Chemistry, Cork Institute of Technology, Cork, Ireland.
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Stanislaus A, Guo K, Li L. Development of an isotope labeling ultra-high performance liquid chromatography mass spectrometric method for quantification of acylglycines in human urine. Anal Chim Acta 2012; 750:161-72. [DOI: 10.1016/j.aca.2012.05.006] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2012] [Revised: 05/05/2012] [Accepted: 05/06/2012] [Indexed: 12/31/2022]
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