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Yang Y, Jiang J, Jiang Y, Ju Y, He J, Yu K, Kan G, Zhang H. Determination of amino acid metabolic diseases from dried blood spots with a rapid extraction method coupled with nanoelectrospray ionization mass spectrometry. Talanta 2024; 272:125768. [PMID: 38340394 DOI: 10.1016/j.talanta.2024.125768] [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: 11/01/2023] [Revised: 01/31/2024] [Accepted: 02/06/2024] [Indexed: 02/12/2024]
Abstract
In this work, a rapid extraction method of methanol/water (95:5 v/v) with 0.1% formic acid was developed for extraction of amino acids from dried blood spots (DBS) for inherited metabolic diseases (IMDs). The combination of this extraction procedure with nanoelectrospray ionization mass spectrometry (nESI-MS) was used for the rapid analysis of amino acids. This approach with eliminating the chromatographic separation required only 2 min for the extraction of amino acids from DBS, which simplified the configuration and improved the timeliness. Dependence of the sensitivity on the operating parameters was systematically investigated. The LOD of 91.2-262.5 nmol/L and LOQ of 304-875 nmol/L which were lower than the cut-off values were obtained for amino acids within DBS. The accuracy was determined to be 93.82%-103.07% and the precision was determined to be less than 8.30%. The effectiveness of this method was also compared with the gold standard method (e.g., LC-MS/MS). The desalination mechanism was explored with interference mainly originated from the blood. These findings indicated that the rapid extraction procedure coupled with nESI-MS is capable of screening indicators for IMDs in complex biological samples.
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Affiliation(s)
- Yali Yang
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, 150090, PR China; School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, Shandong, 264209, PR China; State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, Heilongjiang, 150090, PR China
| | - Jie Jiang
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, 150090, PR China; School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, Shandong, 264209, PR China; State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, Heilongjiang, 150090, PR China
| | - Yanxiao Jiang
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, Shandong, 264209, PR China; State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, Heilongjiang, 150090, PR China
| | - Yun Ju
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, 150090, PR China; School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, Shandong, 264209, PR China; State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, Heilongjiang, 150090, PR China
| | - Jing He
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, Shandong, 264209, PR China; State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, Heilongjiang, 150090, PR China
| | - Kai Yu
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, Shandong, 264209, PR China; State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, Heilongjiang, 150090, PR China
| | - Guangfeng Kan
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, Shandong, 264209, PR China; State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, Heilongjiang, 150090, PR China.
| | - Hong Zhang
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, Shandong, 264209, PR China; State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, Heilongjiang, 150090, PR China.
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Wang Y, Li L, Zhang M, Feng R, Liu L. Optimization of the quantitative protocol for organic acid in fecal samples using gas chromatography-mass spectrometry. J Pharm Biomed Anal 2024; 241:116004. [PMID: 38309097 DOI: 10.1016/j.jpba.2024.116004] [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: 10/17/2023] [Revised: 01/09/2024] [Accepted: 01/26/2024] [Indexed: 02/05/2024]
Abstract
Organic acids (OAs) play important roles in a variety of intracellular metabolic pathways, such as the tricarboxylic acid cycle, fatty acid oxidation, glycolysis. The accurate detection of OAs in fecal samples was crucial for comprehending the metabolic changes associated with various metabolic disease. However, the analytical protocol detecting OAs profiling in feces have received scant attention. In this work, an optimized protocol based on chromatography-mass spectrometry for simultaneous quantification of 23 OAs in rat feces was developed. The optimal conditions involved using a 40-mg fecal sample mixed with isopropyl alcohol, acetonitrile, and deionized water (3:2:2 vol ratio) with a total volume of 1500 μL, followed by ultrasonic extraction and a derivatization reaction with an 80 μL derivative agent. The protocol showed an acceptable linearity (R2 ≥ 0.9906), the satisfactory precision (RSD% ≤ 14.87%), the low limits of detection (0.001 to 1 μg/mL) and the limit of quantification (0.005 to 1.5 μg/mL). Moreover, the dried residues of the extracted solution showed the better stability of OAs at -20 °C, which was more suitable for a large-scale sample analysis. Finally, the developed protocol was successfully applied to compare the difference of OAs profiling in fecal samples harvested from normal and nonalcoholic fatty liver disease rats, which was beneficial to find out the metabolic change of OAs profiling and explain the related mechanism of the disease.
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Affiliation(s)
- Yaxin Wang
- Key Laboratory of Precision nutrition and health of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Heilongjiang, PR China
| | - Li Li
- Key Laboratory of Precision nutrition and health of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Heilongjiang, PR China
| | - Mingjia Zhang
- Key Laboratory of Precision nutrition and health of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Heilongjiang, PR China
| | - Rennan Feng
- Key Laboratory of Precision nutrition and health of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Heilongjiang, PR China
| | - Liyan Liu
- Key Laboratory of Precision nutrition and health of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Heilongjiang, PR China.
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Zhang H, Yang Y, Jiang Y, Zhang M, Xu Z, Wang X, Jiang J. Mass Spectrometry Analysis for Clinical Applications: A Review. Crit Rev Anal Chem 2023:1-20. [PMID: 37910438 DOI: 10.1080/10408347.2023.2274039] [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: 11/03/2023]
Abstract
Mass spectrometry (MS) has become an attractive analytical method in clinical analysis due to its comprehensive advantages of high sensitivity, high specificity and high throughput. Separation techniques coupled MS detection (e.g., LC-MS/MS) have shown unique advantages over immunoassay and have developed as golden criterion for many clinical applications. This review summarizes the characteristics and applications of MS, and emphasizes the high efficiency of MS in clinical research. In addition, this review also put forward further prospects for the future of mass spectrometry technology, including the introduction of miniature MS instruments, point-of-care detection and high-throughput analysis, to achieve better development of MS technology in various fields of clinical application. Moreover, as ambient ionization mass spectrometry (AIMS) requires little or no sample pretreatment and improves the flux of MS, this review also summarizes its potential applications in clinic.
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Affiliation(s)
- Hong Zhang
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, P. R. China
| | - Yali Yang
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, P. R. China
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, P. R. China
| | - Yanxiao Jiang
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, P. R. China
| | - Meng Zhang
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, P. R. China
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, P. R. China
| | - Zhilong Xu
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, P. R. China
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, P. R. China
| | - Xiaofei Wang
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, P. R. China
| | - Jie Jiang
- School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Weihai, P. R. China
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, P. R. China
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Piskláková B, Friedecká J, Ivanovová E, Hlídková E, Bekárek V, Prídavok M, Kvasnička A, Adam T, Friedecký D. Rapid and efficient LC-MS/MS diagnosis of inherited metabolic disorders: a semi-automated workflow for analysis of organic acids, acylglycines, and acylcarnitines in urine. Clin Chem Lab Med 2023; 61:2017-2027. [PMID: 37207286 DOI: 10.1515/cclm-2023-0084] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 05/10/2023] [Indexed: 05/21/2023]
Abstract
OBJECTIVES The analysis of organic acids in urine is an important part of the diagnosis of inherited metabolic disorders (IMDs), for which gas chromatography coupled with mass spectrometry is still predominantly used. METHODS Ultra-performance liquid chromatography-tandem mass spectrometry (LC-MS/MS) assay for urinary organic acids, acylcarnitines and acylglycines was developed and validated. Sample preparation consists only of dilution and the addition of internal standards. Raw data processing is quick and easy using selective scheduled multiple reaction monitoring mode. A robust standardised value calculation as a data transformation together with advanced automatic visualisation tools are applied for easy evaluation of complex data. RESULTS The developed method covers 146 biomarkers consisting of organic acids (n=99), acylglycines (n=15) and acylcarnitines (n=32) including all clinically important isomeric compounds present. Linearity with r2>0.98 for 118 analytes, inter-day accuracy between 80 and 120 % and imprecision under 15 % for 120 analytes were achieved. Over 2 years, more than 800 urine samples from children tested for IMDs were analysed. The workflow was evaluated on 93 patient samples and ERNDIM External Quality Assurance samples involving a total of 34 different IMDs. CONCLUSIONS The established LC-MS/MS workflow offers a comprehensive analysis of a wide range of organic acids, acylcarnitines and acylglycines in urine to perform effective, rapid and sensitive semi-automated diagnosis of more than 80 IMDs.
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Affiliation(s)
- Barbora Piskláková
- Faculty of Medicine and Dentistry, Palacký University Olomouc, Olomouc, Czech Republic
| | - Jaroslava Friedecká
- Faculty of Medicine and Dentistry, Palacký University Olomouc, Olomouc, Czech Republic
| | - Eliška Ivanovová
- Faculty of Medicine and Dentistry, Palacký University Olomouc, Olomouc, Czech Republic
| | - Eva Hlídková
- Laboratory for Inherited Metabolic Disorders, Department of Clinical Biochemistry, University Hospital Olomouc, Olomouc, Czech Republic
| | - Vojtěch Bekárek
- Laboratory for Inherited Metabolic Disorders, Department of Clinical Biochemistry, University Hospital Olomouc, Olomouc, Czech Republic
| | - Matúš Prídavok
- Department of Laboratory Medicine, Centre for Inherited Metabolic Disorders, National Institute of Children's Diseases, Bratislava, Slovakia
| | - Aleš Kvasnička
- Faculty of Medicine and Dentistry, Palacký University Olomouc, Olomouc, Czech Republic
| | - Tomáš Adam
- Laboratory for Inherited Metabolic Disorders, Department of Clinical Biochemistry, University Hospital Olomouc, Olomouc, Czech Republic
- Institute of Molecular and Translational Medicine, Czech Advanced Technology and Research Institute (CATRIN), Palacky University Olomouc, Olomouc, Czech Republic
- Faculty of Health Care, Slovak Medical University, Banská Bystrica, Slovakia
| | - David Friedecký
- Faculty of Medicine and Dentistry, Palacký University Olomouc, Olomouc, Czech Republic
- Laboratory for Inherited Metabolic Disorders, Department of Clinical Biochemistry, University Hospital Olomouc, Olomouc, Czech Republic
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