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Zhang J, Lei J, Liu X, Zhang N, Wu L, Li Y. LC-MS simultaneous profiling of acyl-CoA and acyl-carnitine in dynamic metabolic status. Anal Chim Acta 2024; 1329:343235. [PMID: 39396298 DOI: 10.1016/j.aca.2024.343235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Revised: 09/08/2024] [Accepted: 09/09/2024] [Indexed: 10/15/2024]
Affiliation(s)
- Jiangang Zhang
- Department of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, 400030, China
| | - Juan Lei
- Department of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, 400030, China
| | - Xudong Liu
- Department of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, 400030, China
| | - Nan Zhang
- Department of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, 400030, China
| | - Lei Wu
- Department of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, 400030, China
| | - Yongsheng Li
- Department of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, 400030, China.
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2
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Wen X, Fretts AM, Miao G, Malloy KM, Zhang Y, Umans JG, Cole SA, Best LG, Fiehn O, Zhao J. Plasma lipidomic markers of diet quality are associated with incident coronary heart disease in American Indian adults: the Strong Heart Family Study. Am J Clin Nutr 2024; 119:748-755. [PMID: 38160800 PMCID: PMC11347812 DOI: 10.1016/j.ajcnut.2023.12.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 12/15/2023] [Accepted: 12/28/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND Identifying lipidomic markers of diet quality is needed to inform the development of biomarkers of diet, and to understand the mechanisms driving the diet- coronary heart disease (CHD) association. OBJECTIVES This study aimed to identify lipidomic markers of diet quality and examine whether these lipids are associated with incident CHD. METHODS Using liquid chromatography-mass spectrometry, we measured 1542 lipid species from 1694 American Indian adults (aged 18-75 years, 62% female) in the Strong Heart Family Study. Participants were followed up for development of CHD through 2020. Information on the past year diet was collected using the Block Food Frequency Questionnaire, and diet quality was assessed using the Alternative Healthy Eating Index-2010 (AHEI). Mixed-effects linear regression was used to identify individual lipids cross-sectionally associated with AHEI. In prospective analysis, Cox frailty model was used to estimate the hazard ratio (HR) of each AHEI-related lipid for incident CHD. All models were adjusted for age, sex, center, education, body mass index, smoking, alcohol drinking, level of physical activity, energy intake, diabetes, hypertension, and use of lipid-lowering drugs. Multiple testing was controlled at a false discovery rate of <0.05. RESULTS Among 1542 lipid species measured, 71 lipid species (23 known), including acylcarnitine, cholesterol esters, glycerophospholipids, sphingomyelins and triacylglycerols, were associated with AHEI. Most of the identified lipids were associated with consumption of ω-3 (n-3) fatty acids. In total, 147 participants developed CHD during a mean follow-up of 17.8 years. Among the diet-related lipids, 10 lipids [5 known: cholesterol ester (CE)(22:5)B, phosphatidylcholine (PC)(p-14:0/22:1)/PC(o-14:0/22:1), PC(p-38:3)/PC(o-38:4)B, phosphatidylethanolamine (PE)(p-18:0/20:4)/PE(o-18:0/20:4), and sphingomyelin (d36:2)A] were associated with incident CHD. On average, each standard deviation increase in the baseline level of these 5 lipids was associated with 17%-23% increased risk of CHD (from HR: 1.17; 95% CI: 1, 1.36; to HR: 1.23; 95% CI: 1.05, 1.43). CONCLUSIONS In this study, lipidomic markers of diet quality in American Indian adults are found. Some diet-related lipids are associated with risk of CHD beyond established risk factors.
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Affiliation(s)
- Xiaoxiao Wen
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, United States; Center for Genetic Epidemiology and Bioinformatics, University of Florida, Gainesville, FL, United States
| | - Amanda M Fretts
- Department of Epidemiology, University of Washington, Seattle, WA, United States
| | - Guanhong Miao
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, United States; Center for Genetic Epidemiology and Bioinformatics, University of Florida, Gainesville, FL, United States
| | - Kimberly M Malloy
- Center for American Indian Health Research, Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Ying Zhang
- Center for American Indian Health Research, Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Jason G Umans
- Biomarker, Biochemistry, and Biorepository Core, MedStar Health Research Institute, Hyattsville, MD, United States; Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, DC, United States
| | - Shelley A Cole
- Population Health, Texas Biomedical Research Institute, San Antonio, TX, United States
| | - Lyle G Best
- Missouri Breaks Industries Research, Timber Lake, SD, United States
| | - Oliver Fiehn
- West Coast Metabolomics Center, University of California-Davis, Davis, CA, United States
| | - Jinying Zhao
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, United States; Center for Genetic Epidemiology and Bioinformatics, University of Florida, Gainesville, FL, United States.
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3
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Gerhardtova I, Jankech T, Majerova P, Piestansky J, Olesova D, Kovac A, Jampilek J. Recent Analytical Methodologies in Lipid Analysis. Int J Mol Sci 2024; 25:2249. [PMID: 38396926 PMCID: PMC10889185 DOI: 10.3390/ijms25042249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 02/09/2024] [Accepted: 02/11/2024] [Indexed: 02/25/2024] Open
Abstract
Lipids represent a large group of biomolecules that are responsible for various functions in organisms. Diseases such as diabetes, chronic inflammation, neurological disorders, or neurodegenerative and cardiovascular diseases can be caused by lipid imbalance. Due to the different stereochemical properties and composition of fatty acyl groups of molecules in most lipid classes, quantification of lipids and development of lipidomic analytical techniques are problematic. Identification of different lipid species from complex matrices is difficult, and therefore individual analytical steps, which include extraction, separation, and detection of lipids, must be chosen properly. This review critically documents recent strategies for lipid analysis from sample pretreatment to instrumental analysis and data interpretation published in the last five years (2019 to 2023). The advantages and disadvantages of various extraction methods are covered. The instrumental analysis step comprises methods for lipid identification and quantification. Mass spectrometry (MS) is the most used technique in lipid analysis, which can be performed by direct infusion MS approach or in combination with suitable separation techniques such as liquid chromatography or gas chromatography. Special attention is also given to the correct evaluation and interpretation of the data obtained from the lipid analyses. Only accurate, precise, robust and reliable analytical strategies are able to bring complex and useful lipidomic information, which may contribute to clarification of some diseases at the molecular level, and may be used as putative biomarkers and/or therapeutic targets.
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Affiliation(s)
- Ivana Gerhardtova
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska cesta 9, SK-845 10 Bratislava, Slovakia
- Department of Analytical Chemistry, Faculty of Natural Sciences, Comenius University in Bratislava, Ilkovicova 6, SK-842 15 Bratislava, Slovakia
| | - Timotej Jankech
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska cesta 9, SK-845 10 Bratislava, Slovakia
- Department of Analytical Chemistry, Faculty of Natural Sciences, Comenius University in Bratislava, Ilkovicova 6, SK-842 15 Bratislava, Slovakia
| | - Petra Majerova
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska cesta 9, SK-845 10 Bratislava, Slovakia
| | - Juraj Piestansky
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska cesta 9, SK-845 10 Bratislava, Slovakia
- Toxicological and Antidoping Center, Faculty of Pharmacy, Comenius University in Bratislava, Odbojarov 10, SK-832 32 Bratislava, Slovakia
- Department of Galenic Pharmacy, Faculty of Pharmacy, Comenius University in Bratislava, Odbojarov 10, SK-832 32 Bratislava, Slovakia
| | - Dominika Olesova
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska cesta 9, SK-845 10 Bratislava, Slovakia
- Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Dubravska cesta 9, SK-845 05 Bratislava, Slovakia
| | - Andrej Kovac
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska cesta 9, SK-845 10 Bratislava, Slovakia
- Department of Pharmacology and Toxicology, University of Veterinary Medicine and Pharmacy in Kosice, Komenskeho 68/73, SK-041 81 Kosice, Slovakia
| | - Josef Jampilek
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska cesta 9, SK-845 10 Bratislava, Slovakia
- Department of Analytical Chemistry, Faculty of Natural Sciences, Comenius University in Bratislava, Ilkovicova 6, SK-842 15 Bratislava, Slovakia
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4
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van der Weijden VA, Stötzel M, Iyer DP, Fauler B, Gralinska E, Shahraz M, Meierhofer D, Vingron M, Rulands S, Alexandrov T, Mielke T, Bulut-Karslioglu A. FOXO1-mediated lipid metabolism maintains mammalian embryos in dormancy. Nat Cell Biol 2024; 26:181-193. [PMID: 38177284 PMCID: PMC10866708 DOI: 10.1038/s41556-023-01325-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 11/29/2023] [Indexed: 01/06/2024]
Abstract
Mammalian developmental timing is adjustable in vivo by preserving pre-implantation embryos in a dormant state called diapause. Inhibition of the growth regulator mTOR (mTORi) pauses mouse development in vitro, yet how embryonic dormancy is maintained is not known. Here we show that mouse embryos in diapause are sustained by using lipids as primary energy source. In vitro, supplementation of embryos with the metabolite L-carnitine balances lipid consumption, puts the embryos in deeper dormancy and boosts embryo longevity. We identify FOXO1 as an essential regulator of the energy balance in dormant embryos and propose, through meta-analyses of dormant cell signatures, that it may be a common regulator of dormancy across adult tissues. Our results lift a constraint on in vitro embryo survival and suggest that lipid metabolism may be a critical metabolic transition relevant for longevity and stem cell function across tissues.
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Affiliation(s)
- Vera A van der Weijden
- Stem Cell Chromatin Group, Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Maximilian Stötzel
- Stem Cell Chromatin Group, Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute of Chemistry and Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Berlin, Germany
| | - Dhanur P Iyer
- Stem Cell Chromatin Group, Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute of Chemistry and Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Berlin, Germany
| | - Beatrix Fauler
- Microscopy and Cryo-Electron Microscopy Facility, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Elzbieta Gralinska
- Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Roche Innovation Center Zurich, Schlieren, Switzerland
| | - Mohammed Shahraz
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany
| | - David Meierhofer
- Mass Spectrometry Facility, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Martin Vingron
- Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Steffen Rulands
- Max Planck Institute for the Physics of Complex Systems, Dresden, Germany
- Arnold Sommerfeld Center for Theoretical Physics, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Theodore Alexandrov
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Thorsten Mielke
- Microscopy and Cryo-Electron Microscopy Facility, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Aydan Bulut-Karslioglu
- Stem Cell Chromatin Group, Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany.
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5
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Zhang W, Cui Y, Zhang J. Multi metabolomics-based analysis of application of Astragalus membranaceus in the treatment of hyperuricemia. Front Pharmacol 2022; 13:948939. [PMID: 35935868 PMCID: PMC9355468 DOI: 10.3389/fphar.2022.948939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 06/29/2022] [Indexed: 11/15/2022] Open
Abstract
Hyperuricemia (HUA) is a common metabolic disease that is an independent risk factor for comorbidities such as hypertension, chronic kidney disease, and coronary artery disease. The prevalence of HUA has increased over the last several decades with improved living standards and increased lifespans. Metabolites are considered the most direct reflection of individual physiological and pathological conditions, and represent attractive candidates to provide deep insights into disease phenotypes. Metabolomics, a technique used to profile metabolites in biofluids and tissues, is a powerful tool for identification of novel biomarkers, and can be used to provide valuable insights into the etiopathogenesis of metabolic diseases and to evaluate the efficacy of drugs. In this study, multi metabolomics-based analysis of the blood, urine, and feces of rats with HUA showed that HUA significantly altered metabolite profiles. Astragalus membranaceus (AM) and benbromomalone significantly mitigated these changes in blood and feces, but not in urine. Some crucial metabolic pathways including lipid metabolism, lipid signaling, hormones synthesis, unsaturated fatty acid (UFAs) absorption, and tryptophan metabolism, were seriously disrupted in HUA rats. In addition, AM administration exerted better treatment effects on HUA than benbromomalone. Furthermore, additional supplementation with UFAs and tryptophan may also induce therapeutic effects against HUA.
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Affiliation(s)
- Wenwen Zhang
- The School of Pharmacy, Binzhou Medical University, Yantai, China
| | - Yifang Cui
- The School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jiayu Zhang
- The School of Pharmacy, Binzhou Medical University, Yantai, China
- *Correspondence: Jiayu Zhang,
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6
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Babu AF, Koistinen VM, Turunen S, Solano-Aguilar G, Urban JF, Zarei I, Hanhineva K. Identification and Distribution of Sterols, Bile Acids, and Acylcarnitines by LC-MS/MS in Humans, Mice, and Pigs-A Qualitative Analysis. Metabolites 2022; 12:metabo12010049. [PMID: 35050171 PMCID: PMC8781580 DOI: 10.3390/metabo12010049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 12/23/2021] [Accepted: 12/27/2021] [Indexed: 12/28/2022] Open
Abstract
Sterols, bile acids, and acylcarnitines are key players in human metabolism. Precise annotations of these metabolites with mass spectrometry analytics are challenging because of the presence of several isomers and stereoisomers, variability in ionization, and their relatively low concentrations in biological samples. Herein, we present a sensitive and simple qualitative LC–MS/MS (liquid chromatography with tandem mass spectrometry) method by utilizing a set of pure chemical standards to facilitate the identification and distribution of sterols, bile acids, and acylcarnitines in biological samples including human stool and plasma; mouse ileum, cecum, jejunum content, duodenum content, and liver; and pig bile, proximal colon, cecum, heart, stool, and liver. With this method, we detected 24 sterol, 32 bile acid, and 27 acylcarnitine standards in one analysis that were separated within 13 min by reversed-phase chromatography. Further, we observed different sterol, bile acid, and acylcarnitine profiles for the different biological samples across the different species. The simultaneous detection and annotation of sterols, bile acids, and acylcarnitines from reference standards and biological samples with high precision represents a valuable tool for screening these metabolites in routine scientific research.
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Affiliation(s)
- Ambrin Farizah Babu
- Department of Public Health and Clinical Nutrition, University of Eastern Finland, 70210 Kuopio, Finland; (V.M.K.); (I.Z.); (K.H.)
- Afekta Technologies Ltd., Yliopistonranta 1L, 70211 Kuopio, Finland;
- Correspondence: ; Tel.: +358-45-20-30-433
| | - Ville Mikael Koistinen
- Department of Public Health and Clinical Nutrition, University of Eastern Finland, 70210 Kuopio, Finland; (V.M.K.); (I.Z.); (K.H.)
- Afekta Technologies Ltd., Yliopistonranta 1L, 70211 Kuopio, Finland;
- Department of Biochemistry, Food Chemistry and Food Development Unit, University of Turku, 20014 Turku, Finland
| | - Soile Turunen
- Afekta Technologies Ltd., Yliopistonranta 1L, 70211 Kuopio, Finland;
- School of Pharmacy, University of Eastern Finland, 70210 Kuopio, Finland
| | - Gloria Solano-Aguilar
- U.S. Department of Agriculture, Agricultural Research Service, Northeast Area, Beltsville Human Nutrition Research Center, Diet Genomics and Immunology Laboratory, Beltsville, MD 20705, USA; (G.S.-A.); (J.F.U.J.)
| | - Joseph F. Urban
- U.S. Department of Agriculture, Agricultural Research Service, Northeast Area, Beltsville Human Nutrition Research Center, Diet Genomics and Immunology Laboratory, Beltsville, MD 20705, USA; (G.S.-A.); (J.F.U.J.)
| | - Iman Zarei
- Department of Public Health and Clinical Nutrition, University of Eastern Finland, 70210 Kuopio, Finland; (V.M.K.); (I.Z.); (K.H.)
| | - Kati Hanhineva
- Department of Public Health and Clinical Nutrition, University of Eastern Finland, 70210 Kuopio, Finland; (V.M.K.); (I.Z.); (K.H.)
- Afekta Technologies Ltd., Yliopistonranta 1L, 70211 Kuopio, Finland;
- Department of Biochemistry, Food Chemistry and Food Development Unit, University of Turku, 20014 Turku, Finland
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7
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Luna C, Griffin C, Miller MJ. A clinically validated method to separate and quantify underivatized acylcarnitines and carnitine metabolic intermediates using mixed-mode chromatography with tandem mass spectrometry. J Chromatogr A 2021; 1663:462749. [PMID: 34954532 DOI: 10.1016/j.chroma.2021.462749] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 12/10/2021] [Accepted: 12/12/2021] [Indexed: 10/19/2022]
Abstract
Acylcarnitines are intermediate metabolites of the mitochondria that serve as biomarkers for inherited disorders of fatty acid oxidation and amino acid metabolism. The prevailing clinical method used to quantify acylcarnitines involves flow-injection tandem mass spectrometry, an approach with a number of limitations; foremost the inability to separate and therefore distinguish key isobaric acylcarnitine species. To address these issues, we report a clinically validated liquid chromatography tandem mass spectrometry method to quantify acylcarnitines, free carnitine, and carnitine metabolic intermediates in human plasma. Importantly, this method resolves clinically relevant isobaric and isomeric acylcarnitine species in a single 22 min analysis without the use of ion pairing or derivatization reagents. This unique combination of features is not achievable by existing acylcarnitine methods and is made possible by the use of a novel mixed-mode chromatographic separation. Further clinical validation studies demonstrate excellent limits of quantification, linearity, accuracy, and inter-assay precision for analyses of 38 different calibrated analytes. An additional 28 analytes are semi-quantitatively analyzed using surrogate calibrators. The study of residual patient specimens confirms the clinical utility of this method and suggests expanded applicability to the diagnosis of peroxisomal disorders. In summary, we report a clinically validated acylcarnitine method that utilizes a novel mixed-mode chromatographic separation to provide a number of advantages in terms of specificity, accuracy, sample preparation time, and clinical utility.
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Affiliation(s)
- Carolina Luna
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, 975 W. Walnut St., IB-344C, Indianapolis, IN 46202, United States
| | - Chandler Griffin
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, 975 W. Walnut St., IB-344C, Indianapolis, IN 46202, United States
| | - Marcus J Miller
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, 975 W. Walnut St., IB-344C, Indianapolis, IN 46202, United States.
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8
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Villaseñor A, Godzien J, Barker-Tejeda TC, Gonzalez-Riano C, López-López Á, Dudzik D, Gradillas A, Barbas C. Analytical approaches for studying oxygenated lipids in the search of potential biomarkers by LC-MS. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2021.116367] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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9
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Dai X, Lv C, Sun J, Li S. A facile synthesis of isotope labeled acylcarnitines. J Labelled Comp Radiopharm 2021; 64:217-224. [PMID: 33480078 DOI: 10.1002/jlcr.3904] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 01/16/2021] [Accepted: 01/19/2021] [Indexed: 11/10/2022]
Abstract
Acylcarnitines are a big family of small molecule metabolites with various acyl groups attached to the hydroxyl moiety of l-carnitine. They are good indicators of multiple metabolic disorders. For instance, the newborn screening panel uses flow injection tandem mass spectrometry to analyze more than 30 different acylcarnitines and amino acids extracted from dried blood spots. A facile approach has been developed for the synthesis of isotope labeled acylcarnitines whose mass shift over their unlabeled counterparts can be any number in the range of 3 to 12 Da. This strategy makes it more convenient to provide authentic internal standards for acylcarnitines profiling analyses, thereby expanding their clinical applications.
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Affiliation(s)
- Xiaojun Dai
- Department of Public Security Administration, Nanjing Forest Police College, Nanjing, China
| | - Chao Lv
- Department of Research and Development, Nanjing Apollomics Biotech, Inc., Nanjing, China
| | - Jianguo Sun
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China
| | - Shuwei Li
- Department of Research and Development, Nanjing Apollomics Biotech, Inc., Nanjing, China
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China
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10
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Feng C, Xue L, Lu D, Jin Y, Qiu X, Gonzalez FJ, Wang G, Zhou Z. Novel Strategy for Mining and Identification of Acylcarnitines Using Data-Independent-Acquisition-Based Retention Time Prediction Modeling and Pseudo-Characteristic Fragmentation Ion Matching. J Proteome Res 2021; 20:1602-1611. [PMID: 33625228 DOI: 10.1021/acs.jproteome.0c00810] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
It is a challenging work to screen, identify, and quantify acylcarnitines in complex biological samples. A method, based on the retention time (RT) prediction and data-independent acquisition strategies, was proposed for the large-scale identification of acylcarnitines using liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS). Relative cumulative eluotropic strength was introduced as a novel descriptor in building a linear prediction model, which not only solves the problem that acylcarnitines with long carbon chains cannot be well predicted in traditional models but also proves its robustness and transferability across instruments in two data sets that were acquired in distinct chromatography conditions. The accessibility of both predictive RT and MS2 spectra of suspect features effectively reduced about 30% false-positive results, and consequently, 150 and 186 acylcarnitines were identified in the rat liver and human plasma (NIST SRM 1950), respectively. This method provides a new approach in large-scale analysis of acylcarnitine in lipidomic studies and can also be extended to the analysis of other lipids.
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Affiliation(s)
- Chao Feng
- Shanghai Municipal Center for Disease Control and Prevention, 1380 Zhongshan West Road, Shanghai 200336, China
| | - Liming Xue
- Shanghai Municipal Center for Disease Control and Prevention, 1380 Zhongshan West Road, Shanghai 200336, China
| | - Dasheng Lu
- Shanghai Municipal Center for Disease Control and Prevention, 1380 Zhongshan West Road, Shanghai 200336, China
| | - Yu'e Jin
- Shanghai Municipal Center for Disease Control and Prevention, 1380 Zhongshan West Road, Shanghai 200336, China
| | - Xinlei Qiu
- Shanghai Municipal Center for Disease Control and Prevention, 1380 Zhongshan West Road, Shanghai 200336, China
| | - Frank J Gonzalez
- Laboratory of Metabolism, Center for Cancer Research, National Institutes of Health, National Cancer Institute, Bethesda, Maryland 20892, United States
| | - Guoquan Wang
- Shanghai Municipal Center for Disease Control and Prevention, 1380 Zhongshan West Road, Shanghai 200336, China
| | - Zhijun Zhou
- School of Public Health/ MOE Key Lab for Public Health, Fudan University, Shanghai 200032, China
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11
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Advances in Liquid Chromatography–Mass Spectrometry-Based Lipidomics: A Look Ahead. JOURNAL OF ANALYSIS AND TESTING 2020. [DOI: 10.1007/s41664-020-00135-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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12
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Vera NB, Coy SL, Laiakis EC, Fornace AJ, Clasquin M, Barker CA, Pfefferkorn JA, Vouros P. Quantitation of Urinary Acylcarnitines by DMS-MS/MS Uncovers the Effects of Total Body Irradiation in Cancer Patients. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:498-507. [PMID: 32013416 PMCID: PMC7489307 DOI: 10.1021/jasms.9b00076] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Acylcarnitines have been identified in human and animal metabolomic-profiling studies as urinary markers of radiation exposure, a result which is consistent with their cytoprotective effects and roles in energy metabolism. In the present work, a rapid method for quantitation of the more abundant acylcarnitines in human urine is developed using a valuable set of samples from cancer patients who received total body irradiation (TBI) at Memorial Sloan Kettering Cancer Center. The method uses solid-phase extraction (SPE) processing followed by differential mobility spectrometry (DMS with ethyl acetate modifier) tandem mass spectrometry (ESI-DMS-MS/MS) with deuterated internal standards. The analyzed human urine samples were collected from 38 individual patients at three time points over 24 h during and after the course of radiation treatment, a design allowing each patient to act as their own control and creatinine normalization. Creatinine-normalized concentrations for nine urinary acylcarnitine (acyl-CN) species are reported. Six acyl-CN species were reduced at the 6 h point. Acetylcarnitine (C2:0-CN) and valerylcarnitine (C5:0-CN) showed recovery at 24 h, but none of the other acyl-CN species showed recovery at that point. Levels of three acyl-CN species were not significantly altered by radiation. This rapid quantitative method for clinical samples covers the short- and medium-chain acylcarnitines and has the flexibility to be expanded to cover additional radiation-linked metabolites. The human data presented here indicates the utility of the current approach as a rapid, quantitative technique with potential applications by the medical community, by space research laboratories concerned with radiation exposure, and by disaster response groups.
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Affiliation(s)
- Nicholas B. Vera
- Pfizer Global Research and Development, Cambridge Laboratories, Pfizer Inc., Cambridge, Massachusetts 02139 United States
- Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115 United States
| | - Stephen L. Coy
- Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115 United States
| | - Evagelia C. Laiakis
- Department of Oncology, Georgetown University, 3700 O Street NW, Washington, D.C. 20057 United States
- Department of Biochemistry and Molecular & Cellular Oncology, Georgetown University, 3700 O Street NW, Washington D.C. 20057 United States
| | - Albert J. Fornace
- Department of Oncology, Georgetown University, 3700 O Street NW, Washington, D.C. 20057 United States
- Department of Biochemistry and Molecular & Cellular Oncology, Georgetown University, 3700 O Street NW, Washington D.C. 20057 United States
| | - Michelle Clasquin
- Pfizer Global Research and Development, Cambridge Laboratories, Pfizer Inc., Cambridge, Massachusetts 02139 United States
| | - Christopher A. Barker
- Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, New York 10065, United States
| | - Jeffrey A. Pfefferkorn
- Pfizer Global Research and Development, Cambridge Laboratories, Pfizer Inc., Cambridge, Massachusetts 02139 United States
| | - Paul Vouros
- Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115 United States
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