1
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van Mever M, He B, van Veen M, Slaats J, Buijs MM, Wieringa JE, Hankemeier T, de Winter P, Ramautar R. Capillary electrophoresis-mass spectrometry for creatinine analysis in residual clinical plasma samples and comparison with gold standard assay. Electrophoresis 2024. [PMID: 38456383 DOI: 10.1002/elps.202300264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 02/20/2024] [Accepted: 02/25/2024] [Indexed: 03/09/2024]
Abstract
When hospitalized, infants, particularly preterm, are often subjected to multiple painful needle procedures to collect sufficient blood for metabolic screening or diagnostic purposes using standard clinical tests. For example, at least 100 µL of whole blood is required to perform one creatinine plasma measurement with enzymatic colorimetric assays. As capillary electrophoresis-mass spectrometry (CE-MS) utilizing a sheathless porous tip interface only requires limited amounts of sample for in-depth metabolic profiling studies, the aim of this work was to assess the utility of this method for the determination of creatinine in low amounts of plasma using residual blood samples from adults and infants. By using a starting amount of 5 µL of plasma and an injection volume of only 6.7 nL, a detection limit (S/N = 3) of 30 nM could be obtained for creatinine, and intra- and interday precisions (for peak area ratios) were below 3.2%. To shorten the electrophoretic separation time, a multi-segment injection (MSI) strategy was employed to analyze up to seven samples in one electrophoretic run. The findings obtained by CE-MS for creatinine in pretreated plasma were compared with the values acquired by an enzymatic colorimetric assay typically used in clinical laboratories for this purpose. The comparison revealed that CE-MS could be used in a reliable way for the determination of creatinine in residual plasma samples from infants and adults. Nevertheless, to underscore the clinical efficacy of this method, a subsequent investigation employing an expanded pool of plasma samples is imperative. This will not only enhance the method's diagnostic utility but also contribute to minimizing both the amount and frequency of blood collection required for diagnostic purposes.
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Affiliation(s)
- Marlien van Mever
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, The Netherlands
| | - Bingshu He
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, The Netherlands
| | - Mariam van Veen
- Department of Pediatrics, Spaarne Gasthuis, Haarlem/Hoofddorp, The Netherlands
- Amsterdam Universitair Medisch Centrum, Amsterdam, The Netherlands
| | - Jeroen Slaats
- Atalmedial Diagnostic Centers, Amsterdam, The Netherlands
| | | | - Joanne E Wieringa
- Department of Pediatrics, Spaarne Gasthuis, Haarlem/Hoofddorp, The Netherlands
| | - Thomas Hankemeier
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, The Netherlands
| | - Peter de Winter
- Department of Pediatrics, Spaarne Gasthuis, Haarlem/Hoofddorp, The Netherlands
- Leuven Child and Health Institute, KU Leuven, Leuven, Belgium
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Rawi Ramautar
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, The Netherlands
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2
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Naumann L, Haun A, Höchsmann A, Mohr M, Novák M, Flottmann D, Neusüß C. Augmented region of interest for untargeted metabolomics mass spectrometry (AriumMS) of multi-platform-based CE-MS and LC-MS data. Anal Bioanal Chem 2023:10.1007/s00216-023-04715-6. [PMID: 37225900 DOI: 10.1007/s00216-023-04715-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 04/16/2023] [Accepted: 04/20/2023] [Indexed: 05/26/2023]
Abstract
In mass spectrometry (MS)-based metabolomics, there is a great need to combine different analytical separation techniques to cover metabolites of different polarities and apply appropriate multi-platform data processing. Here, we introduce AriumMS (augmented region of interest for untargeted metabolomics mass spectrometry) as a reliable toolbox for multi-platform metabolomics. AriumMS offers augmented data analysis of several separation techniques utilizing a region-of-interest algorithm. To demonstrate the capabilities of AriumMS, five datasets were combined. This includes three newly developed capillary electrophoresis (CE)-Orbitrap MS methods using the recently introduced nanoCEasy CE-MS interface and two hydrophilic interaction liquid chromatography (HILIC)-Orbitrap MS methods. AriumMS provides a novel mid-level data fusion approach for multi-platform data analysis to simplify and speed up multi-platform data processing and evaluation. The key feature of AriumMS lies in the optimized data processing strategy, including parallel processing of datasets and flexible parameterization for processing of individual separation methods with different peak characteristics. As a case study, Saccharomyces cerevisiae (yeast) was treated with a growth inhibitor, and AriumMS successfully differentiated the metabolome based on the augmented multi-platform CE-MS and HILIC-MS investigation. As a result, AriumMS is proposed as a powerful tool to improve the accuracy and selectivity of metabolome analysis through the integration of several HILIC-MS/CE-MS techniques.
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Affiliation(s)
- Lukas Naumann
- Department of Chemistry, Aalen University, Beethovenstraße 1, 73430, Aalen, Germany
| | - Adrian Haun
- Department of Chemistry, Aalen University, Beethovenstraße 1, 73430, Aalen, Germany
| | - Alisa Höchsmann
- Department of Chemistry, Aalen University, Beethovenstraße 1, 73430, Aalen, Germany
| | - Michael Mohr
- Department of Chemistry, Aalen University, Beethovenstraße 1, 73430, Aalen, Germany
| | - Martin Novák
- Department of Chemistry, Aalen University, Beethovenstraße 1, 73430, Aalen, Germany
| | - Dirk Flottmann
- Department of Chemistry, Aalen University, Beethovenstraße 1, 73430, Aalen, Germany
| | - Christian Neusüß
- Department of Chemistry, Aalen University, Beethovenstraße 1, 73430, Aalen, Germany.
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3
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Pires AS, Gupta S, Barton SA, Vander Wall R, Tan V, Heng B, Phillips JK, Guillemin GJ. Temporal Profile of Kynurenine Pathway Metabolites in a Rodent Model of Autosomal Recessive Polycystic Kidney Disease. Int J Tryptophan Res 2022; 15:11786469221126063. [PMID: 36329761 PMCID: PMC9623391 DOI: 10.1177/11786469221126063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 08/27/2022] [Indexed: 11/28/2022] Open
Abstract
Autosomal recessive polycystic kidney disease (ARPKD) is an early onset genetic disorder characterized by numerous renal cysts resulting in end stage renal disease. Our study aimed to determine if metabolic reprogramming and tryptophan (Trp) metabolism via the kynurenine pathway (KP) is a critical dysregulated pathway in PKD. Using the Lewis polycystic kidney (LPK) rat model of PKD and Lewis controls, we profiled temporal trends for KP metabolites in plasma, urine, and kidney tissues from 6- and 12-week-old mixed sex animals using liquid and gas chromatography, minimum n = 5 per cohort. A greater kynurenine (KYN) concentration was observed in LPK kidney and plasma of 12-week rats compared to age matched Lewis controls (P ⩽ .05). LPK kidneys also showed an age effect (P ⩽ .05) with KYN being greater in 12-week versus 6-week LPK. The metabolites xanthurenic acid (XA), 3-hydroxykynurenine (3-HK), and 3-hydroxyanthranilic acid (3-HAA) were significantly greater in the plasma of 12-week LPK rats compared to age matched Lewis controls (P ⩽ .05). Plasma XA and 3-HK also showed an age effect (P ⩽ .05) being greater in 12-week versus 6-week LPK. We further describe a decrease in Trp levels in LPK plasma and kidney (strain effect P ⩽ .05). There were no differences in KP metabolites in urine between cohorts. Using the ratio of product and substrates in the KP, a significant age-strain effect (P ⩽ .05) was observed in the activity of the KYN/Trp ratio (tryptophan-2,3-dioxygenase [TDO] or indoleamine-2,3-dioxygenase [IDO] activity), kynurenine 3-monooxygenase (KMO), KAT A (kynurenine aminotransferase A), KAT B, total KAT, total KYNU (kynureninase), KYNU A, KYNU B, and total KYNU within LPK kidneys, supporting an activated KP. Confirmation of the activation of these enzymes will require verification through orthogonal techniques. In conclusion, we have demonstrated an up-regulation of the KP in alignment with progression of renal impairment in the LPK rat model, suggesting that KP activation may be a critical contributor to the pathobiology of PKD.
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Affiliation(s)
- Ananda Staats Pires
- Neuroinflammation Group, Macquarie
Medical School, Centre for Motor Neuron Disease Research, Faculty of Medicine,
Health and Human Sciences, Macquarie University, Sydney, NSW, Australia,Laboratório de Bioenergética e Estresse
Oxidativo, Departamento de Bioquímica, Centro de Ciências Biológicas, Universidade
Federal de Santa Catarina, Florianópolis, Brasil
| | - Shabarni Gupta
- Autonomic and Sensory Neuroscience
Group, Macquarie Medical School, Faculty of Medicine, Health and Human Sciences,
Macquarie University, Sydney, NSW, Australia
| | - Sean A Barton
- Autonomic and Sensory Neuroscience
Group, Macquarie Medical School, Faculty of Medicine, Health and Human Sciences,
Macquarie University, Sydney, NSW, Australia
| | - Roshana Vander Wall
- Autonomic and Sensory Neuroscience
Group, Macquarie Medical School, Faculty of Medicine, Health and Human Sciences,
Macquarie University, Sydney, NSW, Australia
| | - Vanessa Tan
- Neuroinflammation Group, Macquarie
Medical School, Centre for Motor Neuron Disease Research, Faculty of Medicine,
Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Benjamin Heng
- Neuroinflammation Group, Macquarie
Medical School, Centre for Motor Neuron Disease Research, Faculty of Medicine,
Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Jacqueline K Phillips
- Autonomic and Sensory Neuroscience
Group, Macquarie Medical School, Faculty of Medicine, Health and Human Sciences,
Macquarie University, Sydney, NSW, Australia,Jacqueline K Phillips, Autonomic and
Sensory Neuroscience Group, Macquarie Medical School,Department of Biomedical
Science, Faculty of Medicine, Health and Human Sciences, Macquarie University,
Level 1, 75 Talavera Road, Sydney, NSW 2109, Australia.
| | - Gilles J Guillemin
- Neuroinflammation Group, Macquarie
Medical School, Centre for Motor Neuron Disease Research, Faculty of Medicine,
Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
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4
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Wagt S, de Haan N, Wang W, Zhang T, Wuhrer M, Lageveen-Kammeijer GSM. N-Glycan Isomer Differentiation by Zero Flow Capillary Electrophoresis Coupled to Mass Spectrometry. Anal Chem 2022; 94:12954-12959. [PMID: 36098998 PMCID: PMC9523619 DOI: 10.1021/acs.analchem.2c02840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
![]()
Isomeric N-glycans often vastly differ
in their
biological activities, hence the need for methods that allow resolving
and structurally characterizing them in biological material. Here,
we established a zero flow approach using capillary electrophoresis
in combination with (tandem) mass spectrometry to allow structural
characterization of isomeric N-glycans at high sensitivity.
Additionally, diagnostic fragment ion ratios were identified, indicative
for the antenna carrying specifically linked sialic acids. In total,
208 N-glycans were characterized in human plasma,
with 57 compositions showing multiple isomers.
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Affiliation(s)
- Sander Wagt
- Leiden University Medical Center, Center for Proteomics and Metabolomics, 2300 RC Leiden, The Netherlands
| | - Noortje de Haan
- Leiden University Medical Center, Center for Proteomics and Metabolomics, 2300 RC Leiden, The Netherlands
| | - Wenjun Wang
- Leiden University Medical Center, Center for Proteomics and Metabolomics, 2300 RC Leiden, The Netherlands
| | - Tao Zhang
- Leiden University Medical Center, Center for Proteomics and Metabolomics, 2300 RC Leiden, The Netherlands
| | - Manfred Wuhrer
- Leiden University Medical Center, Center for Proteomics and Metabolomics, 2300 RC Leiden, The Netherlands
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5
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Ramautar R. Capillary electrophoresis mass spectrometry for metabolomics: reflecting on the next steps. Bioanalysis 2022; 14:393-396. [PMID: 35311379 DOI: 10.4155/bio-2022-0031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Affiliation(s)
- Rawi Ramautar
- Biomedical Microscale Analytics, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, Leiden, 2333 CC, The Netherlands
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6
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Fedorova ES, Matyushin DD, Plyushchenko IV, Stavrianidi AN, Buryak AK. Deep learning for retention time prediction in reversed-phase liquid chromatography. J Chromatogr A 2021; 1664:462792. [PMID: 34999303 DOI: 10.1016/j.chroma.2021.462792] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 12/23/2021] [Accepted: 12/28/2021] [Indexed: 01/16/2023]
Abstract
Retention time prediction in high-performance liquid chromatography (HPLC) is the subject of many studies since it can improve the identification of unknown molecules in untargeted profiling using HPLC coupled with high-resolution mass spectrometry. Lots of approaches were developed for retention time prediction in liquid chromatography for a different number of molecules considering various molecular properties and machine learning algorithms. The recently built large retention time data set of standard compounds from the Metabolite and Chemical Entity Database (METLIN) allows researchers to create a model that can be used for retention time prediction of small molecules with wide varieties of structures and physicochemical properties. The ability to predict retention times using the largest data set was studied for different architectures of deep learning models that were trained on molecular fingerprints, and SMILES (string representation of a molecule) represented as one-hot matrices. The best result was achieved with a one-dimensional convolutional neural network (1D CNN) that uses SMILES as an input. The proposed model reached the mean absolute error and the median absolute error equal to 34.7 and 18.7 s, respectively, which outperformed the results previously obtained for this data set. The pre-trained 1D CNN on the METLIN SMRT data set was transferred on five other data sets to evaluate the generalization ability.
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7
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He B, Zhang W, Guled F, Harms A, Ramautar R, Hankemeier T. Analytical techniques for biomass-restricted metabolomics: An overview of the state-of-the-art. Microchem J 2021. [DOI: 10.1016/j.microc.2021.106794] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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8
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Roointan A, Gheisari Y, Hudkins KL, Gholaminejad A. Non-invasive metabolic biomarkers for early diagnosis of diabetic nephropathy: Meta-analysis of profiling metabolomics studies. Nutr Metab Cardiovasc Dis 2021; 31:2253-2272. [PMID: 34059383 DOI: 10.1016/j.numecd.2021.04.021] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 04/12/2021] [Accepted: 04/25/2021] [Indexed: 12/15/2022]
Abstract
AIM Diabetic nephropathy (DN) is one of the worst complications of diabetes. Despite a growing number of DN metabolite profiling studies, most studies are suffering from inconsistency in their findings. The main goal of this meta-analysis was to reach to a consensus panel of significantly dysregulated metabolites as potential biomarkers in DN. DATA SYNTHESIS To identify the significant dysregulated metabolites, meta-analysis was performed by "vote-counting rank" and "robust rank aggregation" strategies. Bioinformatics analyses were performed to identify the most affected genes and pathways. Among 44 selected studies consisting of 98 metabolite profiles, 17 metabolites (9 up-regulated and 8 down-regulated metabolites), were identified as significant ones by both the meta-analysis strategies (p-value<0.05 and OR>2 or <0.5) and selected as DN metabolite meta-signature. Furthermore, enrichment analyses confirmed the involvement of various effective biological pathways in DN pathogenesis, such as urea cycle, TCA cycle, glycolysis, and amino acid metabolisms. Finally, by performing a meta-analysis over existing time-course studies in DN, the results indicated that lactic acid, hippuric acid, allantoin (in urine), and glutamine (in blood), are the topmost non-invasive early diagnostic biomarkers. CONCLUSION The identified metabolites are potentially involved in diabetic nephropathy pathogenesis and could be considered as biomarkers or drug targets in the disease. PROSPERO REGISTRATION NUMBER CRD42020197697.
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Affiliation(s)
- Amir Roointan
- Regenerative Medicine Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Yousof Gheisari
- Regenerative Medicine Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Kelly L Hudkins
- Department of Pathology, University of Washington, School of Medicine, Seattle, United States
| | - Alieh Gholaminejad
- Regenerative Medicine Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
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9
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Huang L, Fang M, Cupp-Sutton KA, Wang Z, Smith K, Wu S. Spray-Capillary-Based Capillary Electrophoresis Mass Spectrometry for Metabolite Analysis in Single Cells. Anal Chem 2021; 93:4479-4487. [PMID: 33646748 PMCID: PMC8323477 DOI: 10.1021/acs.analchem.0c04624] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Single-cell capillary electrophoresis mass spectrometry (CE-MS) is a promising platform to analyze cellular contents and probe cell heterogeneity. However, current single-cell CE-MS methods often rely on offline microsampling processes and may demonstrate low sampling precision and accuracy. We have recently developed an electrospray-assisted device, spray-capillary, for low-volume sample extraction. With the spray-capillary, low-volume samples (pL-nL) are drawn into the sampling end of the device, which can be used directly for CE separation and online MS detection. Here, we redesigned the spray-capillary by utilizing a capillary with a <15 μm tapered tip so that it can be directly inserted into single cells for sample collection and on-capillary CE-MS analysis. We evaluated the performance of the modified spray-capillary by performing single-cell microsampling on single onion cells with varying sample injection times and direct MS analysis or online CE-MS analysis. We have demonstrated, for the first time, online sample collection and CE-MS for the analysis of single cells. This application of the modified spray-capillary device facilitates the characterization and relative quantification of hundreds of metabolites in single cells.
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Affiliation(s)
- Lushuang Huang
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States
| | - Mulin Fang
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States
| | - Kellye A Cupp-Sutton
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States
| | - Zhe Wang
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States
| | - Kenneth Smith
- Department of Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma 73104, United States
| | - Si Wu
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States
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10
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Zhang W, Ramautar R. CE-MS for metabolomics: Developments and applications in the period 2018-2020. Electrophoresis 2021; 42:381-401. [PMID: 32906195 PMCID: PMC7891659 DOI: 10.1002/elps.202000203] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 08/30/2020] [Accepted: 09/01/2020] [Indexed: 02/06/2023]
Abstract
Capillary electrophoresis-mass spectrometry (CE-MS) is now a mature analytical technique in metabolomics, notably for the efficient profiling of polar and charged metabolites. Over the past few years, (further) progress has been made in the design of improved interfacing techniques for coupling CE to MS; also, in the development of CE-MS approaches for profiling metabolites in volume-restricted samples, and in strategies that further enhance the metabolic coverage. In this article, which is a follow-up of a previous review article covering the years 2016-2018 (Electrophoresis 2019, 40, 165-179), the main (technological) developments in CE-MS methods and strategies for metabolomics are discussed covering the literature from July 2018 to June 2020. Representative examples highlight the utility of CE-MS in the fields of biomedical, clinical, microbial, plant and food metabolomics. A complete overview of recent CE-MS-based metabolomics studies is given in a table, which provides information on sample type and pretreatment, capillary coatings, and MS detection mode. Finally, some general conclusions and perspectives are given.
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Affiliation(s)
- Wei Zhang
- Biomedical Microscale Analytics, Leiden Academic Centre for Drug ResearchLeiden UniversityLeidenThe Netherlands
| | - Rawi Ramautar
- Biomedical Microscale Analytics, Leiden Academic Centre for Drug ResearchLeiden UniversityLeidenThe Netherlands
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11
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Drouin N, Ramautar R. Capillary Electrophoresis-Mass Spectrometry for Metabolomics: Possibilities and Perspectives. Adv Exp Med Biol 2021; 1336:159-78. [PMID: 34628632 DOI: 10.1007/978-3-030-77252-9_9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Capillary electrophoresis-mass spectrometry (CE-MS) is a very useful analytical technique for the selective and highly efficient profiling of polar and charged metabolites in a wide range of biological samples. Compared to other analytical techniques, the use of CE-MS in metabolomics is relatively low as the approach is still regarded as technically challenging and not reproducible. In this chapter, the possibilities of CE-MS for metabolomics are highlighted with special emphasis on the use of recently developed interfacing designs. The utility of CE-MS for targeted and untargeted metabolomics studies is demonstrated by discussing representative and recent examples in the biomedical and clinical fields. The potential of CE-MS for large-scale and quantitative metabolomics studies is also addressed. Finally, some general conclusions and perspectives are given on this strong analytical separation technique for probing the polar metabolome.
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12
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Drouin N, van Mever M, Zhang W, Tobolkina E, Ferre S, Servais AC, Gou MJ, Nyssen L, Fillet M, Lageveen-Kammeijer GS, Nouta J, Chetwynd AJ, Lynch I, Thorn JA, Meixner J, Lößner C, Taverna M, Liu S, Tran NT, Francois Y, Lechner A, Nehmé R, Al Hamoui Dit Banni G, Nasreddine R, Colas C, Lindner HH, Faserl K, Neusüß C, Nelke M, Lämmerer S, Perrin C, Bich-Muracciole C, Barbas C, Gonzálvez Á, Guttman A, Szigeti M, Britz-McKibbin P, Kroezen Z, Shanmuganathan M, Nemes P, Portero EP, Hankemeier T, Codesido S, González-Ruiz V, Rudaz S, Ramautar R. Capillary Electrophoresis-Mass Spectrometry at Trial by Metabo-Ring: Effective Electrophoretic Mobility for Reproducible and Robust Compound Annotation. Anal Chem 2020; 92:14103-14112. [PMID: 32961048 PMCID: PMC7581015 DOI: 10.1021/acs.analchem.0c03129] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 09/22/2020] [Indexed: 12/15/2022]
Abstract
Capillary zone electrophoresis-mass spectrometry (CE-MS) is a mature analytical tool for the efficient profiling of (highly) polar and ionizable compounds. However, the use of CE-MS in comparison to other separation techniques remains underrepresented in metabolomics, as this analytical approach is still perceived as technically challenging and less reproducible, notably for migration time. The latter is key for a reliable comparison of metabolic profiles and for unknown biomarker identification that is complementary to high resolution MS/MS. In this work, we present the results of a Metabo-ring trial involving 16 CE-MS platforms among 13 different laboratories spanning two continents. The goal was to assess the reproducibility and identification capability of CE-MS by employing effective electrophoretic mobility (μeff) as the key parameter in comparison to the relative migration time (RMT) approach. For this purpose, a representative cationic metabolite mixture in water, pretreated human plasma, and urine samples spiked with the same metabolite mixture were used and distributed for analysis by all laboratories. The μeff was determined for all metabolites spiked into each sample. The background electrolyte (BGE) was prepared and employed by each participating lab following the same protocol. All other parameters (capillary, interface, injection volume, voltage ramp, temperature, capillary conditioning, and rinsing procedure, etc.) were left to the discretion of the contributing laboratories. The results revealed that the reproducibility of the μeff for 20 out of the 21 model compounds was below 3.1% vs 10.9% for RMT, regardless of the huge heterogeneity in experimental conditions and platforms across the 13 laboratories. Overall, this Metabo-ring trial demonstrated that CE-MS is a viable and reproducible approach for metabolomics.
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Affiliation(s)
- Nicolas Drouin
- Division
of Systems Biomedicine and Pharmacology, Leiden Academic Centre for
Drug Research, Leiden University, 2311 G Leiden, The Netherlands
| | - Marlien van Mever
- Division
of Systems Biomedicine and Pharmacology, Leiden Academic Centre for
Drug Research, Leiden University, 2311 G Leiden, The Netherlands
| | - Wei Zhang
- Division
of Systems Biomedicine and Pharmacology, Leiden Academic Centre for
Drug Research, Leiden University, 2311 G Leiden, The Netherlands
| | - Elena Tobolkina
- School
of Pharmaceutical Sciences, University of
Geneva, Rue Michel Servet 1, 1211 4 Geneva, Switzerland
- Institute
of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Rue Michel Servet 1, 1211 4 Geneva, Switzerland
| | - Sabrina Ferre
- School
of Pharmaceutical Sciences, University of
Geneva, Rue Michel Servet 1, 1211 4 Geneva, Switzerland
- Institute
of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Rue Michel Servet 1, 1211 4 Geneva, Switzerland
| | - Anne-Catherine Servais
- Laboratory
for the Analysis of Medicines, Center for Interdisciplinary Research
on Medicines (CIRM), University of Liège, Avenue Hippocrate 15, B-4000 Liège, Belgium
| | - Marie-Jia Gou
- Laboratory
for the Analysis of Medicines, Center for Interdisciplinary Research
on Medicines (CIRM), University of Liège, Avenue Hippocrate 15, B-4000 Liège, Belgium
| | - Laurent Nyssen
- Laboratory
for the Analysis of Medicines, Center for Interdisciplinary Research
on Medicines (CIRM), University of Liège, Avenue Hippocrate 15, B-4000 Liège, Belgium
- Department
of Clinical Chemistry, Center for Interdisciplinary Research on Medicines
(CIRM), University of Liège, Avenue Hippocrate 15, B-4000 Liège, Belgium
| | - Marianne Fillet
- Laboratory
for the Analysis of Medicines, Center for Interdisciplinary Research
on Medicines (CIRM), University of Liège, Avenue Hippocrate 15, B-4000 Liège, Belgium
| | | | - Jan Nouta
- Leiden University
Medical Center, Center for Proteomics
and Metabolomics, 2300 RC Leiden, The Netherlands
| | - Andrew J. Chetwynd
- School
of Geography Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, U.K.
| | - Iseult Lynch
- School
of Geography Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, U.K.
| | - James A. Thorn
- AB
Sciex UK Ltd, Phoenix House, Lakeside Drive, Warrington, Cheshire WA1 1RX, U.K.
| | - Jens Meixner
- Agilent
Technologies R&D and Marketing GmbH & Co. KG, Hewlett-Packard-Straße 8, 76337 Waldbronn, Germany
| | | | - Myriam Taverna
- Université Paris-Saclay, CNRS, Institut Galien Paris-Saclay, 92296 Châtenay-Malabry, France
- Institut Universitaire de France, 1 Rue Descartes, 75231 CEDEX 05 Paris, France
| | - Sylvie Liu
- Université Paris-Saclay, CNRS, Institut Galien Paris-Saclay, 92296 Châtenay-Malabry, France
| | - N. Thuy Tran
- Université Paris-Saclay, CNRS, Institut Galien Paris-Saclay, 92296 Châtenay-Malabry, France
| | - Yannis Francois
- Laboratoire
de Spectromètrie de Masse des Interactions et des Systémes
(LSMIS) UMR 7140 (Unistra-CNRS), Université
de Strasbourg, 4 Rue Blaise Pascal, 67081 CEDEX Strasbourg, France
| | - Antony Lechner
- Laboratoire
de Spectromètrie de Masse des Interactions et des Systémes
(LSMIS) UMR 7140 (Unistra-CNRS), Université
de Strasbourg, 4 Rue Blaise Pascal, 67081 CEDEX Strasbourg, France
| | - Reine Nehmé
- Institut
de Chimie Organique et Analytique (ICOA), CNRS FR 2708 - UMR 7311, Université d’Orléans, 45067 Orléans, France
| | - Ghassan Al Hamoui Dit Banni
- Institut
de Chimie Organique et Analytique (ICOA), CNRS FR 2708 - UMR 7311, Université d’Orléans, 45067 Orléans, France
| | - Rouba Nasreddine
- Institut
de Chimie Organique et Analytique (ICOA), CNRS FR 2708 - UMR 7311, Université d’Orléans, 45067 Orléans, France
| | - Cyril Colas
- Institut
de Chimie Organique et Analytique (ICOA), CNRS FR 2708 - UMR 7311, Université d’Orléans, 45067 Orléans, France
- Centre de Biophysique Moléculaire,
CNRS-Université
d’Orléans, UPR 4311, 45071 CEDEX 2 Orléans, France
| | - Herbert H. Lindner
- Institute
of Clinical Biochemistry, Innsbruck Medical
University, Innrain 80-82, A-6020 Innsbruck, Austria
| | - Klaus Faserl
- Institute
of Clinical Biochemistry, Innsbruck Medical
University, Innrain 80-82, A-6020 Innsbruck, Austria
| | - Christian Neusüß
- Faculty
of Chemistry, Aalen University, Beethovenstraße 1, 73430 Aalen, Germany
| | - Manuel Nelke
- Faculty
of Chemistry, Aalen University, Beethovenstraße 1, 73430 Aalen, Germany
| | - Stefan Lämmerer
- Faculty
of Chemistry, Aalen University, Beethovenstraße 1, 73430 Aalen, Germany
| | - Catherine Perrin
- Institut
des Biomolécules Max Mousseron (IBMM), UMR 5247-CNRS-UM-ENSCM, Université de Montpellier, 34093 CEDEX 5 Montpellier, France
| | - Claudia Bich-Muracciole
- Institut
des Biomolécules Max Mousseron (IBMM), UMR 5247-CNRS-UM-ENSCM, Université de Montpellier, 34093 CEDEX 5 Montpellier, France
| | - Coral Barbas
- Centre
for Metabolomics and Bioanalysis (CEMBIO), Department of Chemistry
and Biochemistry, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización
Montepríncipe, Boadilladel
Monte 28660, Madrid, Spain
| | - Ángeles
López Gonzálvez
- Centre
for Metabolomics and Bioanalysis (CEMBIO), Department of Chemistry
and Biochemistry, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización
Montepríncipe, Boadilladel
Monte 28660, Madrid, Spain
| | - Andras Guttman
- Horváth
Csaba Memorial Laboratory of Bioseparation Sciences, Research Center
for Molecular Medicine, Faculty of Medicine, Doctoral School of Molecular
Medicine, University of Debrecen, 98 Nagyerdei Road, H-4032 Debrecen, Hungary
- Translation
Glycomics Group, Research Institute of Biomolecular and Chemical Engineering, University of Pannonia, 10 Egyetem Street, Veszprem H-8200, Hungary
- Sciex, 250 South Kraemer Boulevard, Brea, California 92821, United States
| | - Marton Szigeti
- Horváth
Csaba Memorial Laboratory of Bioseparation Sciences, Research Center
for Molecular Medicine, Faculty of Medicine, Doctoral School of Molecular
Medicine, University of Debrecen, 98 Nagyerdei Road, H-4032 Debrecen, Hungary
- Translation
Glycomics Group, Research Institute of Biomolecular and Chemical Engineering, University of Pannonia, 10 Egyetem Street, Veszprem H-8200, Hungary
| | - Philip Britz-McKibbin
- Department
of Chemistry and Chemical Biology, McMaster
University, 1280 Main St. W., Hamilton, Ontario L8S 4M1, Canada
| | - Zachary Kroezen
- Department
of Chemistry and Chemical Biology, McMaster
University, 1280 Main St. W., Hamilton, Ontario L8S 4M1, Canada
| | - Meera Shanmuganathan
- Department
of Chemistry and Chemical Biology, McMaster
University, 1280 Main St. W., Hamilton, Ontario L8S 4M1, Canada
| | - Peter Nemes
- Department
of Chemistry & Biochemistry, University
of Maryland, College
Park, Maryland 20742, United States
| | - Erika P. Portero
- Department
of Chemistry & Biochemistry, University
of Maryland, College
Park, Maryland 20742, United States
| | - Thomas Hankemeier
- Division
of Systems Biomedicine and Pharmacology, Leiden Academic Centre for
Drug Research, Leiden University, 2311 G Leiden, The Netherlands
| | - Santiago Codesido
- School
of Pharmaceutical Sciences, University of
Geneva, Rue Michel Servet 1, 1211 4 Geneva, Switzerland
- Institute
of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Rue Michel Servet 1, 1211 4 Geneva, Switzerland
| | - Víctor González-Ruiz
- School
of Pharmaceutical Sciences, University of
Geneva, Rue Michel Servet 1, 1211 4 Geneva, Switzerland
- Institute
of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Rue Michel Servet 1, 1211 4 Geneva, Switzerland
- Swiss Centre for Applied Human Toxicology
(SCAHT), Missionsstrasse
64, 4055 Bâle, Switzerland
| | - Serge Rudaz
- School
of Pharmaceutical Sciences, University of
Geneva, Rue Michel Servet 1, 1211 4 Geneva, Switzerland
- Institute
of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Rue Michel Servet 1, 1211 4 Geneva, Switzerland
- Swiss Centre for Applied Human Toxicology
(SCAHT), Missionsstrasse
64, 4055 Bâle, Switzerland
| | - Rawi Ramautar
- Division
of Systems Biomedicine and Pharmacology, Leiden Academic Centre for
Drug Research, Leiden University, 2311 G Leiden, The Netherlands
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13
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Gama LA, Rocha Machado MP, Beckmann APS, Miranda JRDA, Corá LA, Américo MF. Gastrointestinal motility and morphology in mice: Strain-dependent differences. Neurogastroenterol Motil 2020; 32:e13824. [PMID: 32096330 DOI: 10.1111/nmo.13824] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Revised: 01/31/2020] [Accepted: 02/04/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND BALB/c and C57BL/6 mice are widely used in biomedical research; however, the differences between strains are still underestimated. Our aims were to develop an experimental protocol to evaluate the duodenal contractility and gastrointestinal transit in mice using the Alternating Current Biosusceptometry (ACB) technique and to compare gastrointestinal motor function and morphology between BALB/c and C57BL/6 strains. METHODS Male mice were used in experiments (a) duodenal contractility: animals which had a magnetic marker surgically fixed in the duodenum to determine the frequency and amplitude of contractions and (b) gastrointestinal transit: animals which ingested a magnetically marked chow to calculate the Oro-Anal Transit Time (OATT) and the Fecal Pellet Elimination Rate (FPER). The animals were killed after the experiments for organ collection and morphometric analysis. KEY RESULTS BALB/c and C57BL/6 had two different duodenal frequencies (high and low) with similar amplitudes. After 10 hours of monitoring, BALB/c eliminated around 89% of the ingested marker and C57BL/6 eliminated 33%; OATT and FPER were slower for C57BL/6 compared with BALB/c. The OATT and amplitude of low frequency had a strong positive correlation in C57BL/6. For BALB/c, the gastric muscular layer was thicker compared to that measured for C57BL/6. CONCLUSIONS AND INFERENCES The experimental protocol to evaluate duodenal contractility and fecal magnetic pellets output using the ACB technique in mice was successfully established. BALB/c strains had higher duodenal frequencies and a shorter time to eliminate the ingested marker. Our results showed differences in both motor function and gastrointestinal morphology between BALB/c and C57BL/6 strains.
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Affiliation(s)
- Loyane Almeida Gama
- Institute of Biosciences, São Paulo State University, UNESP, Botucatu, Brazil
| | | | - Ana Paula Simões Beckmann
- Institute of Biological Sciences and Health, Federal University of Mato Grosso, UFMT, Barra do Garças, Brazil
| | | | | | - Madileine Francely Américo
- Institute of Biosciences, São Paulo State University, UNESP, Botucatu, Brazil.,Institute of Biological Sciences and Health, Federal University of Mato Grosso, UFMT, Barra do Garças, Brazil
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14
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Lechner A, Wolff P, Leize-Wagner E, François YN. Characterization of Post-Transcriptional RNA Modifications by Sheathless Capillary Electrophoresis-High Resolution Mass Spectrometry. Anal Chem 2020; 92:7363-7370. [PMID: 32343557 DOI: 10.1021/acs.analchem.0c01345] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Over the past decade there has been a growing interest in RNA modification analysis. High performance liquid chromatography-tandem mass spectrometry coupling (HPLC-MS/MS) is classically used to characterize post-transcriptional modifications of ribonucleic acids (RNAs). Here we propose a novel and simple workflow based on capillary zone electrophoresis-tandem mass spectrometry (CE-MS/MS), in positive mode, to characterize RNA modifications at nucleoside and oligonucleotide levels. By first totally digesting the purified RNA, prior to CE-MS/MS analysis, we were able to identify the nucleoside modifications. Then, using a bottom-up approach, sequencing of the RNAs and mapping of the modifications were performed. Sequence coverages from 68% to 97% were obtained for four tRNAs. Furthermore, unambiguous identification and mapping of several modifications were achieved.
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Affiliation(s)
- Antony Lechner
- Laboratoire de Spectrométrie de Masse des Interactions et des Systèmes (LSMIS) UMR 7140 (Unistra-CNRS), Université de Strasbourg, Strasbourg F-67081, France
| | - Philippe Wolff
- Architecture et Réactivité de l'ARN, UPR 9002-CNRS, Université de Strasbourg, F-67000 Strasbourg, France.,Plateforme Protéomique Strasbourg Esplanade, CNRS, FRC 1589, F-67000 Strasbourg, France
| | - Emmanuelle Leize-Wagner
- Laboratoire de Spectrométrie de Masse des Interactions et des Systèmes (LSMIS) UMR 7140 (Unistra-CNRS), Université de Strasbourg, Strasbourg F-67081, France
| | - Yannis-Nicolas François
- Laboratoire de Spectrométrie de Masse des Interactions et des Systèmes (LSMIS) UMR 7140 (Unistra-CNRS), Université de Strasbourg, Strasbourg F-67081, France
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15
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Segers K, Zhang W, Aourz N, Bongaerts J, Declerck S, Mangelings D, Hankemeier T, De Bundel D, Vander Heyden Y, Smolders I, Ramautar R, Van Eeckhaut A. CE-MS metabolic profiling of volume-restricted plasma samples from an acute mouse model for epileptic seizures to discover potentially involved metabolomic features. Talanta 2020; 217:121107. [PMID: 32498853 DOI: 10.1016/j.talanta.2020.121107] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 04/27/2020] [Accepted: 04/30/2020] [Indexed: 01/07/2023]
Abstract
Currently, a high variety of analytical techniques to perform metabolomics is available. One of these techniques is capillary electrophoresis coupled to mass spectrometry (CE-MS), which has emerged as a rather strong analytical technique for profiling polar and charged compounds. This work aims to discover with CE-MS potential metabolic consequences of evoked seizures in plasma by using a 6Hz acute corneal seizure mouse model. CE-MS is an appealing technique because of its capability to handle very small sample volumes, such as the 10 μL plasma samples obtained using capillary microsampling in this study. After liquid-liquid extraction, the samples were analyzed with CE-MS using low-pH separation conditions, followed by data analysis and biomarker identification. Both electrically induced seizures showed decreased values of methionine, lysine, glycine, phenylalanine, citrulline, 3-methyladenine and histidine in mice plasma. However, a second provoked seizure, 13 days later, showed a less pronounced decrease of the mean concentrations of these plasma metabolites, demonstrated by higher fold change ratios. Other obtained markers that can be related to seizure activities based on literature data, are isoleucine, serine, proline, tryptophan, alanine, arginine, valine and asparagine. Most amino acids showed relatively stable plasma concentrations between the basal levels (Time point 1) and after the 13-day wash-out period (Time point 3), which suggests its effectiveness. Overall, this work clearly demonstrated the possibility of profiling metabolite consequences related to seizure activities of an intrinsically low amount of body fluid using CE-MS. It would be useful to investigate and validate, in the future, the known and unknown metabolites in different animal models as well as in humans.
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Affiliation(s)
- Karen Segers
- Department of Analytical Chemistry, Applied Chemometrics and Molecular Modelling, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium; Department of Pharmaceutical Chemistry, Drug Analysis and Drug Information, Center for Neurosciences (C4N), Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium.
| | - Wei Zhang
- Biomedical Microscale Analytics, Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Einsteinweg 55, 2333, CC Leiden, the Netherlands.
| | - Najat Aourz
- Department of Pharmaceutical Chemistry, Drug Analysis and Drug Information, Center for Neurosciences (C4N), Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium
| | - Jana Bongaerts
- Department of Analytical Chemistry, Applied Chemometrics and Molecular Modelling, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium; Department of Pharmaceutical Chemistry, Drug Analysis and Drug Information, Center for Neurosciences (C4N), Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium
| | - Sven Declerck
- Department of Analytical Chemistry, Applied Chemometrics and Molecular Modelling, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium
| | - Debby Mangelings
- Department of Analytical Chemistry, Applied Chemometrics and Molecular Modelling, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium.
| | - Thomas Hankemeier
- Biomedical Microscale Analytics, Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Einsteinweg 55, 2333, CC Leiden, the Netherlands.
| | - Dimitri De Bundel
- Department of Pharmaceutical Chemistry, Drug Analysis and Drug Information, Center for Neurosciences (C4N), Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium.
| | - Yvan Vander Heyden
- Department of Analytical Chemistry, Applied Chemometrics and Molecular Modelling, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium.
| | - Ilse Smolders
- Department of Pharmaceutical Chemistry, Drug Analysis and Drug Information, Center for Neurosciences (C4N), Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium.
| | - Rawi Ramautar
- Biomedical Microscale Analytics, Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Einsteinweg 55, 2333, CC Leiden, the Netherlands.
| | - Ann Van Eeckhaut
- Department of Pharmaceutical Chemistry, Drug Analysis and Drug Information, Center for Neurosciences (C4N), Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium.
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16
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Liao HW, Rubakhin SS, Philip MC, Sweedler JV. Enhanced single-cell metabolomics by capillary electrophoresis electrospray ionization-mass spectrometry with field amplified sample injection. Anal Chim Acta 2020; 1118:36-43. [PMID: 32418602 DOI: 10.1016/j.aca.2020.04.028] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 04/08/2020] [Accepted: 04/10/2020] [Indexed: 12/26/2022]
Abstract
Single-cell metabolomics provides information on the biochemical state of an individual cell and its relationship with the surrounding environment. Characterization of metabolic cellular heterogeneity is challenging, in part due to the small amounts of analytes and their wide dynamic concentration ranges within individual cells. CE-ESI-MS is well suited to single-cell assays because of its low sample-volume requirements and low detection limits. While the volume of a cell is in the picoliter range, after isolation, the typical volume of the lysed cell sample is on the order of a microliter; however, only nanoliters are injected into the CE system, with the volume mismatch limiting analytical performance. Here we developed an approach for the detection of intracellular metabolites from a single neuron using field amplified sample injection (FASI) CE-ESI-MS. Through the application of FASI, we achieved 100- to 300-fold detection limit enhancement compared to hydrodynamic injections. We further enhanced the analyte identification and quantification accuracy via introduction of two internal standards. As a result, the relative standard deviations of migration times were reduced to <5%, aiding identification. Finally, we successfully applied FASI CE-ESI-MS to the untargeted profiling of metabolites of Aplysia californica pleural sensory neurons with <50 μm diameter cell somata. As a result, twenty one neurotransmitters and metabolites have been quantified in these neurons.
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17
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Affiliation(s)
- Courtney J. Kristoff
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, West Virginia 26506, United States
| | - Lloyd Bwanali
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, West Virginia 26506, United States
| | - Lindsay M. Veltri
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, West Virginia 26506, United States
| | - Gayatri P. Gautam
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, West Virginia 26506, United States
| | - Patrick K. Rutto
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, West Virginia 26506, United States
| | - Ebenezer O. Newton
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, West Virginia 26506, United States
| | - Lisa A. Holland
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, West Virginia 26506, United States
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18
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González-Riano C, Dudzik D, Garcia A, Gil-de-la-Fuente A, Gradillas A, Godzien J, López-Gonzálvez Á, Rey-Stolle F, Rojo D, Ruperez FJ, Saiz J, Barbas C. Recent Developments along the Analytical Process for Metabolomics Workflows. Anal Chem 2019; 92:203-226. [PMID: 31625723 DOI: 10.1021/acs.analchem.9b04553] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Carolina González-Riano
- Centre for Metabolomics and Bioanalysis (CEMBIO), Chemistry and Biochemistry Department, Pharmacy Faculty , Universidad San Pablo-CEU , Boadilla del Monte , 28668 Madrid , Spain
| | - Danuta Dudzik
- Centre for Metabolomics and Bioanalysis (CEMBIO), Chemistry and Biochemistry Department, Pharmacy Faculty , Universidad San Pablo-CEU , Boadilla del Monte , 28668 Madrid , Spain.,Department of Biopharmaceutics and Pharmacodynamics, Faculty of Pharmacy , Medical University of Gdańsk , 80-210 Gdańsk , Poland
| | - Antonia Garcia
- Centre for Metabolomics and Bioanalysis (CEMBIO), Chemistry and Biochemistry Department, Pharmacy Faculty , Universidad San Pablo-CEU , Boadilla del Monte , 28668 Madrid , Spain
| | - Alberto Gil-de-la-Fuente
- Department of Information Technology, Escuela Politécnica Superior , Universidad San Pablo-CEU , 28003 Madrid , Spain
| | - Ana Gradillas
- Centre for Metabolomics and Bioanalysis (CEMBIO), Chemistry and Biochemistry Department, Pharmacy Faculty , Universidad San Pablo-CEU , Boadilla del Monte , 28668 Madrid , Spain
| | - Joanna Godzien
- Centre for Metabolomics and Bioanalysis (CEMBIO), Chemistry and Biochemistry Department, Pharmacy Faculty , Universidad San Pablo-CEU , Boadilla del Monte , 28668 Madrid , Spain.,Clinical Research Centre , Medical University of Bialystok , 15-089 Bialystok , Poland
| | - Ángeles López-Gonzálvez
- Centre for Metabolomics and Bioanalysis (CEMBIO), Chemistry and Biochemistry Department, Pharmacy Faculty , Universidad San Pablo-CEU , Boadilla del Monte , 28668 Madrid , Spain
| | - Fernanda Rey-Stolle
- Centre for Metabolomics and Bioanalysis (CEMBIO), Chemistry and Biochemistry Department, Pharmacy Faculty , Universidad San Pablo-CEU , Boadilla del Monte , 28668 Madrid , Spain
| | - David Rojo
- Centre for Metabolomics and Bioanalysis (CEMBIO), Chemistry and Biochemistry Department, Pharmacy Faculty , Universidad San Pablo-CEU , Boadilla del Monte , 28668 Madrid , Spain
| | - Francisco J Ruperez
- Centre for Metabolomics and Bioanalysis (CEMBIO), Chemistry and Biochemistry Department, Pharmacy Faculty , Universidad San Pablo-CEU , Boadilla del Monte , 28668 Madrid , Spain
| | - Jorge Saiz
- Centre for Metabolomics and Bioanalysis (CEMBIO), Chemistry and Biochemistry Department, Pharmacy Faculty , Universidad San Pablo-CEU , Boadilla del Monte , 28668 Madrid , Spain
| | - Coral Barbas
- Centre for Metabolomics and Bioanalysis (CEMBIO), Chemistry and Biochemistry Department, Pharmacy Faculty , Universidad San Pablo-CEU , Boadilla del Monte , 28668 Madrid , Spain
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19
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Khangwal I, Shukla P. Combinatory biotechnological intervention for gut microbiota. Appl Microbiol Biotechnol 2019; 103:3615-25. [DOI: 10.1007/s00253-019-09727-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Revised: 02/25/2019] [Accepted: 02/25/2019] [Indexed: 12/21/2022]
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