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Rodrigues Matos R, Jennings EK, Kaesler J, Reemtsma T, Koch BP, Lechtenfeld OJ. Post column infusion of an internal standard into LC-FT-ICR MS enables semi-quantitative comparison of dissolved organic matter in original samples. Analyst 2024; 149:3468-3478. [PMID: 38742449 DOI: 10.1039/d4an00119b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Ultrahigh resolution mass spectrometry hyphenated with liquid chromatography (LC) is an emerging tool to explore the isomeric composition of dissolved organic matter (DOM). However, matrix effects limit the potential for semi-quantitative comparison of DOM molecule abundances across samples. We introduce a post-column infused internal standard (PCI-IS) for reversed-phase LC-FT-ICR MS measurements of DOM and systematically evaluate matrix effects, detector linearity and the precision of mass peak intensities. Matrix effects for model compounds spiked into freshwater DOM samples ranging from a headwater stream to a major river were reduced by 5-10% for PCI-IS corrected mass peak intensities as compared to raw (i.e., untransformed) intensities. A linear regression of PCI-IS corrected DOM mass peak intensities across a typical DOM concentration range (2-15 mg dissolved organic carbon L-1) in original, non-extracted freshwater samples demonstrates excellent linearity of the detector response (r2 > 0.9 for 98% of detected molecular formulas across retention times). Importantly, PCI-IS could compensate for 80% of matrix effects across an environmental gradient of DOM composition from groundwater to surface water. This enabled studying the ionization efficiency of DOM isomers and linking the observed differences to the biogeochemical sources. With PCI-IS original, non-extracted DOM samples can be analysed by LC-FT-ICR MS without carbon load adjustment, and mass peak intensities can be reliably used to semi-quantitatively compare isomer abundances between compositionally similar DOM samples.
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Affiliation(s)
- Rebecca Rodrigues Matos
- Department of Environmental Analytical Chemistry, Helmholtz Centre for Environmental Research - UFZ, Permoserstr. 15, 04318 Leipzig, Germany.
| | - Elaine K Jennings
- Department of Environmental Analytical Chemistry, Helmholtz Centre for Environmental Research - UFZ, Permoserstr. 15, 04318 Leipzig, Germany.
| | - Jan Kaesler
- Department of Environmental Analytical Chemistry, Helmholtz Centre for Environmental Research - UFZ, Permoserstr. 15, 04318 Leipzig, Germany.
| | - Thorsten Reemtsma
- Department of Environmental Analytical Chemistry, Helmholtz Centre for Environmental Research - UFZ, Permoserstr. 15, 04318 Leipzig, Germany.
- Institute of Analytical Chemistry, University of Leipzig, 04103 Leipzig, Germany
| | - Boris P Koch
- Alfred-Wegener-Institute Helmholtz Centre for Polar and Marine Research, Ecological Chemistry, Am Handelshafen 12, 27570 Bremerhaven, Germany
- Hochschule Bremerhaven, University of Applied Sciences, An der Karlstadt 8, 27568 Bremerhaven, Germany
| | - Oliver J Lechtenfeld
- Department of Environmental Analytical Chemistry, Helmholtz Centre for Environmental Research - UFZ, Permoserstr. 15, 04318 Leipzig, Germany.
- ProVIS-Centre for Chemical Microscopy, Helmholtz Centre for Environmental Research - UFZ, Permoserstr. 15, 04318 Leipzig, Germany
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2
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Huang M, Li HY, Liao HW, Lin CH, Wang CY, Kuo WH, Kuo CH. Using post-column infused internal standard assisted quantitative metabolomics for establishing prediction models for breast cancer detection. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2020; 34 Suppl 1:e8581. [PMID: 31693758 DOI: 10.1002/rcm.8581] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2019] [Revised: 08/30/2019] [Accepted: 09/02/2019] [Indexed: 06/10/2023]
Abstract
RATIONALE Breast cancer is one of the most common cancers among women and its associated mortality is on the rise. Metabolomics is a potential strategy for breast cancer detection. The post-column infused internal standard (PCI-IS)-assisted liquid chromatography/tandem mass spectrometry (LC/MS/MS) method has been demonstrated as an effective strategy for quantitative metabolomics. In this study, we evaluated the performance of targeted metabolomics with the PCI-IS quantification method to identify women with breast cancer. METHODS We used metabolite profiling to identify 17 dysregulated metabolites in breast cancer patients. Two LC/MS/MS methods in combination with the PCI-IS strategy were developed to quantify these metabolites in plasma samples. Detection models were built through the analysis of plasma samples from 176 subjects consisting of healthy volunteers and breast cancer patients. RESULTS Three isotope standards were selected as the PCI-ISs for the metabolites. The accuracy was within 82.8-114.16%, except for citric acid and lactic acid at high concentration levels. The repeatability and intermediate precision were all lower than 15% relative standard deviation. We have identified several metabolites that indicate the presence of breast cancer. The area under the receiver operating characteristics (AUROC) curve, sensitivity and specificity of the linear combinations of metabolite concentrations and age with the highest AUROC were 0.940 (0.889-0.992), 88.4% and 94.2% for pre-menopausal woman, respectively, and 0.828 (0.734-0.922), 73.5% and 85.1% for post-menopausal women, respectively. CONCLUSIONS The targeted metabolomics with PCI-IS quantification method successfully established prediction models for breast cancer detection. Further study is essential to validate these proposed markers.
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Affiliation(s)
- Marisa Huang
- School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Hung-Yuan Li
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Hsiao-Wei Liao
- School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
- The Metabolomics Core Laboratory, Center of Precision Medicine, National Taiwan University, Taipei, Taiwan
| | - Ching-Hung Lin
- Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan
- Department of Medical Oncology, National Taiwan University Cancer Center Hospital, Taipei, Taiwan
| | - Chin-Yi Wang
- School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Wen-Hung Kuo
- Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan
| | - Ching-Hua Kuo
- School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Department of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan
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3
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Liao HW, Kuo CH, Chao HC, Chen GY. Post-column infused internal standard assisted lipidomics profiling strategy and its application on phosphatidylcholine research. J Pharm Biomed Anal 2020; 178:112956. [PMID: 31704131 DOI: 10.1016/j.jpba.2019.112956] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 10/16/2019] [Accepted: 10/24/2019] [Indexed: 12/22/2022]
Abstract
Various lipidomics studies have revealed the potential of using phospholipids as disease biomarkers for conditions such as Alzheimer's disease, cancer, and sepsis. Establishing accurate quantification methods for targeted phospholipid analysis is important for making these potential markers more clinically relevant. Although a stable isotope labelled-internal standard method can provide good quantification accuracy for endogenous metabolite quantification, there are limited isotope labelled phosphatidylcholines (PCs) commercially available. For this reason, this study proposed a postcolumn infused-internal standard (PCI-IS) method for the accurate quantification of PCs. To demonstrate the quantification accuracy of the PCI-IS method combined with the matrix normalization factor (MNF), 2 LPCs and 6 PCs have been quantified in the human plasma specimens, and the results showed that the PCI-IS combined with MNF method can provide quantification results as accurate as those of the standard addition method (SAM) but without the need for the labor-intensive SAM procedure. We additionally applied the PCI-IS method for improving the PC profiling accuracy, and the results indicated that the biased estimation of the PC composition caused by the MEs can be resolved by PCI-IS correction. Finally, the method was applied to investigate drug resistance in lung cancer cells. Decreased levels of PCs in drug resistant cells disclose the potential role of PCs in drug resistance. We anticipate that the PCI-IS strategy could help quantitative lipidomics move forward and further contribute to various clinical and biomedical studies.
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Affiliation(s)
- Hsiao-Wei Liao
- Faculty of Pharmacy, National Yang-Ming University, Taipei, Taiwan.
| | - Ching-Hua Kuo
- School of Pharmacy, College of Medicine, National Taiwan University, Taiwan; The Metabolomics Core Laboratory, Center of Genomic Medicine, National Taiwan University, Taiwan; Department of Pharmacy, National Taiwan University Hospital, Taiwan; Graduate Institute of Toxicology, National Taiwan University Medical College, Taipei, Taiwan
| | - Hsi-Chun Chao
- School of Pharmacy, College of Medicine, National Taiwan University, Taiwan; The Metabolomics Core Laboratory, Center of Genomic Medicine, National Taiwan University, Taiwan
| | - Guan-Yuan Chen
- Graduate Institute of Forensic Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
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4
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Manousi N, K. Zacharis C. Automated Post-Column Sample Manipulation Prior to Detection in Liquid Chromatography: A Review of Pharmaceutical and Bioanalytical Applications. CURR ANAL CHEM 2019. [DOI: 10.2174/1573411015666190327170559] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
:
Automated post-column sample manipulation is undoubtedly one of the most challenging
approaches in liquid chromatography for the improvement of method selectivity and sensitivity. With
the post-column analyte derivatization being the most-abundant approach approach of this category,
other strategies typically comprise post-column infusion of internal standard or other reagents prior
to mass spectrometric detection to enhance the ionization efficiency of the analyte or to compensate
the ion suppression/enhancement.
:
In this review, on-line post column methodologies focused on the quality control of pharmaceuticals
and biomedical applications will be presented and discussed. Emphasis will be given on the
automation capabilities of such systems.
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Affiliation(s)
- Natalia Manousi
- Analytical Development Laboratory, R&D API Operations, Pharmathen SA, 9th klm Thessaloniki-Thermi, Thessaloniki 57001, Greece
| | - Constantinos K. Zacharis
- Analytical Development Laboratory, R&D API Operations, Pharmathen SA, 9th klm Thessaloniki-Thermi, Thessaloniki 57001, Greece
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5
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Chepyala D, Kuo HC, Su KY, Liao HW, Wang SY, Chepyala SR, Chang LC, Kuo CH. Improved Dried Blood Spot-Based Metabolomics Analysis by a Postcolumn Infused-Internal Standard Assisted Liquid Chromatography-Electrospray Ionization Mass Spectrometry Method. Anal Chem 2019; 91:10702-10712. [DOI: 10.1021/acs.analchem.9b02050] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Divyabharathi Chepyala
- School of Pharmacy, College of Medicine, National Taiwan University, Taipei 10050, Taiwan
- The Metabolomics Core Laboratory, Centers of Genomic and Precision Medicine, National Taiwan University, Taipei 10055, Taiwan
| | - Han-Chun Kuo
- The Metabolomics Core Laboratory, Centers of Genomic and Precision Medicine, National Taiwan University, Taipei 10055, Taiwan
| | - Kang-Yi Su
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei 10617, Taiwan
- Department of Laboratory Medicine, National Taiwan University Hospital, Taipei 10002, Taiwan
| | - Hsiao-Wei Liao
- School of Pharmacy, College of Medicine, National Taiwan University, Taipei 10050, Taiwan
- The Metabolomics Core Laboratory, Centers of Genomic and Precision Medicine, National Taiwan University, Taipei 10055, Taiwan
| | - San-Yuan Wang
- Master Program in Clinical Pharmacogenomics and Pharmacoproteomics, College of Pharmacy, Taipei Medical University, Taipei 11031, Taiwan
| | | | - Lin-Chau Chang
- School of Pharmacy, College of Medicine, National Taiwan University, Taipei 10050, Taiwan
| | - Ching-Hua Kuo
- School of Pharmacy, College of Medicine, National Taiwan University, Taipei 10050, Taiwan
- The Metabolomics Core Laboratory, Centers of Genomic and Precision Medicine, National Taiwan University, Taipei 10055, Taiwan
- Department of Pharmacy, National Taiwan University Hospital, Taipei 10051, Taiwan
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6
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Ma Q, Adua E, Boyce MC, Li X, Ji G, Wang W. IMass Time: The Future, in Future! ACTA ACUST UNITED AC 2018; 22:679-695. [DOI: 10.1089/omi.2018.0162] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Qingwei Ma
- Bioyong (Beijing) Technology Co., Ltd., Beijing, China
| | - Eric Adua
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Mary C. Boyce
- School of Science, Edith Cowan University, Joondalup, Australia
| | - Xingang Li
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Guang Ji
- China-Canada Centre of Research for Digestive Diseases, University of Ottawa, Ottawa, Canada
- Institute of Digestive Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wei Wang
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
- School of Public Health, Taishan Medical University, Taian, China
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7
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Rossmann J, Renner LD, Oertel R, El-Armouche A. Post-column infusion of internal standard quantification for liquid chromatography-electrospray ionization-tandem mass spectrometry analysis – Pharmaceuticals in urine as example approach. J Chromatogr A 2018; 1535:80-87. [DOI: 10.1016/j.chroma.2018.01.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2017] [Revised: 12/21/2017] [Accepted: 01/01/2018] [Indexed: 10/18/2022]
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Crotti S, Posocco B, Marangon E, Nitti D, Toffoli G, Agostini M. Mass spectrometry in the pharmacokinetic studies of anticancer natural products. MASS SPECTROMETRY REVIEWS 2017; 36:213-251. [PMID: 26280357 DOI: 10.1002/mas.21478] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2015] [Accepted: 06/29/2015] [Indexed: 05/08/2023]
Abstract
In the history of medicine, nature has represented the main source of medical products. Indeed, the therapeutic use of plants certainly goes back to the Sumerian and Hippocrates and nowadays nature still represents the major source for new drugs discovery. Moreover, in the cancer treatment, drugs are either natural compounds or have been developed from naturally occurring parent compounds firstly isolated from plants and microbes from terrestrial and marine environment. A critical element of an anticancer drug is represented by its severe toxicities and, after administration, the drug concentrations have to remain in an appropriate range to be effective. Anyway, the drug dosage defined during the clinical studies could be inappropriate for an individual patient due to differences in drug absorption, metabolism and excretion. For this reason, personalized medicine, based on therapeutic drug monitoring (TDM), represents one of most important challenges in cancer therapy. Mass spectrometry sensitivity, specificity and fastness lead to elect this technique as the Golden Standard for pharmacokinetics and drug metabolism studies therefore for TDM. This review focuses on the mass spectrometry-based methods developed for pharmacokinetic quantification in human plasma of anticancer drugs derived from natural sources and already used in clinical practice. Particular emphasis was placed both on the pre-analytical and analytical steps, such as: sample preparation procedures, sample size required by the analysis and the limit of quantification of drugs and metabolites to give some insights on the clinical practice applicability. © 2015 Wiley Periodicals, Inc. Mass Spec Rev. 36:213-251, 2017.
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Affiliation(s)
- Sara Crotti
- Experimental and Clinical Pharmacology Unit, Centro di Riferimento Oncologico, IRCCS National Cancer Institute, Via Franco Gallini 2, 33081 Aviano (PN), Italy
- Istituto di Ricerca Pediatrica - Città della Speranza, Corso Stati Uniti 4, 35127, Padova, Italy
| | - Bianca Posocco
- Experimental and Clinical Pharmacology Unit, Centro di Riferimento Oncologico, IRCCS National Cancer Institute, Via Franco Gallini 2, 33081 Aviano (PN), Italy
| | - Elena Marangon
- Experimental and Clinical Pharmacology Unit, Centro di Riferimento Oncologico, IRCCS National Cancer Institute, Via Franco Gallini 2, 33081 Aviano (PN), Italy
| | - Donato Nitti
- Surgical Clinic, Department of Surgical, Oncological and Gastroenterological Sciences, University of Padova, Via Nicolo Giustiniani 2, 35128, Padova, Italy
| | - Giuseppe Toffoli
- Experimental and Clinical Pharmacology Unit, Centro di Riferimento Oncologico, IRCCS National Cancer Institute, Via Franco Gallini 2, 33081 Aviano (PN), Italy
| | - Marco Agostini
- Istituto di Ricerca Pediatrica - Città della Speranza, Corso Stati Uniti 4, 35127, Padova, Italy
- Surgical Clinic, Department of Surgical, Oncological and Gastroenterological Sciences, University of Padova, Via Nicolo Giustiniani 2, 35128, Padova, Italy
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9
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Liao HW, Chen GY, Wu MS, Liao WC, Lin CH, Kuo CH. Development of a Postcolumn Infused-Internal Standard Liquid Chromatography Mass Spectrometry Method for Quantitative Metabolomics Studies. J Proteome Res 2017; 16:1097-1104. [PMID: 28067522 DOI: 10.1021/acs.jproteome.6b01011] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Quantitative metabolomics has become much more important in clinical research in recent years. Individual differences in matrix effects (MEs) and the injection order effect are two major factors that reduce the quantification accuracy in liquid chromatography-electrospray ionization-mass spectrometry-based (LC-ESI-MS) metabolomics studies. This study proposed a postcolumn infused-internal standard (PCI-IS) combined with a matrix normalization factor (MNF) strategy to improve the analytical accuracy of quantitative metabolomics. The PCI-IS combined with the MNF method was applied for a targeted metabolomics study of amino acids (AAs). D8-Phenylalanine was used as the PCI-IS, and it was postcolumn-infused into the ESI interface for calibration purposes. The MNF was used to bridge the AA response in a standard solution with the plasma samples. The MEs caused signal changes that were corrected by dividing the AA signal intensities by the PCI-IS intensities after adjustment with the MNF. After the method validation, we evaluated the method applicability for breast cancer research using 100 plasma samples. The quantification results revealed that the 11 tested AAs exhibit an accuracy between 88.2 and 110.7%. The principal component analysis score plot revealed that the injection order effect can be successfully removed, and most of the within-group variation of the tested AAs decreased after the PCI-IS correction. Finally, targeted metabolomics studies on the AAs showed that tryptophan was expressed more in malignant patients than in the benign group. We anticipate that a similar approach can be applied to other endogenous metabolites to facilitate quantitative metabolomics studies.
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Affiliation(s)
- Hsiao-Wei Liao
- School of Pharmacy, College of Medicine, National Taiwan University , Taipei 10051, Taiwan.,The Metabolomics Core Laboratory, Center of Genomic Medicine, National Taiwan University , Taipei 10055, Taiwan
| | - Guan-Yuan Chen
- School of Pharmacy, College of Medicine, National Taiwan University , Taipei 10051, Taiwan.,The Metabolomics Core Laboratory, Center of Genomic Medicine, National Taiwan University , Taipei 10055, Taiwan
| | - Ming-Shiang Wu
- Department of Internal Medicine, National Taiwan University Hospital , Taipei 10051, Taiwan
| | - Wei-Chih Liao
- Department of Internal Medicine, National Taiwan University Hospital , Taipei 10051, Taiwan
| | - Ching-Hung Lin
- Department of Internal Medicine, National Taiwan University Hospital , Taipei 10051, Taiwan.,Department of Oncology, National Taiwan University Hospital , Taipei 10051, Taiwan.,Oncology Center, National Taiwan University Hospital Hsin-Chu Branch , Hsinchu City 300, Taiwan
| | - Ching-Hua Kuo
- School of Pharmacy, College of Medicine, National Taiwan University , Taipei 10051, Taiwan.,The Metabolomics Core Laboratory, Center of Genomic Medicine, National Taiwan University , Taipei 10055, Taiwan.,Department of Pharmacy, National Taiwan University Hospital , Taipei 10051, Taiwan
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10
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Liao HW, Lin SW, Chen GY, Kuo CH. Estimation and Correction of the Blood Volume Variations of Dried Blood Spots Using a Postcolumn Infused-Internal Standard Strategy with LC-Electrospray Ionization-MS. Anal Chem 2016; 88:6457-64. [DOI: 10.1021/acs.analchem.6b01145] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Hsiao-Wei Liao
- School
of Pharmacy, College of Medicine, National Taiwan University, Linsen S. Rd., Chongsheng, Taipei 10051, Taiwan
- The
Metabolomics Core Laboratory, Center of Genomic Medicine, National Taiwan University, Taipei 10051, Taiwan
| | - Shu-Wen Lin
- Graduate
Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei 10051, Taiwan
- Department
of Pharmacy, National Taiwan University Hospital, Taipei 10051, Taiwan
| | - Guan-Yuan Chen
- School
of Pharmacy, College of Medicine, National Taiwan University, Linsen S. Rd., Chongsheng, Taipei 10051, Taiwan
- The
Metabolomics Core Laboratory, Center of Genomic Medicine, National Taiwan University, Taipei 10051, Taiwan
| | - Ching-Hua Kuo
- School
of Pharmacy, College of Medicine, National Taiwan University, Linsen S. Rd., Chongsheng, Taipei 10051, Taiwan
- The
Metabolomics Core Laboratory, Center of Genomic Medicine, National Taiwan University, Taipei 10051, Taiwan
- Department
of Pharmacy, National Taiwan University Hospital, Taipei 10051, Taiwan
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11
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Advances in mass spectrometry-based clinical biomarker discovery. Clin Proteomics 2016; 13:1. [PMID: 26751220 PMCID: PMC4705754 DOI: 10.1186/s12014-015-9102-9] [Citation(s) in RCA: 176] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2015] [Accepted: 12/23/2015] [Indexed: 12/30/2022] Open
Abstract
The greatest unmet needs in biomarker discovery are those discoveries that lead to the development of clinical diagnostic tests. These clinical diagnostic tests can provide early intervention when a patient would present otherwise healthy (e.g., cancer or cardiovascular disease) and aid clinical decision making with improved clinical outcomes. The past two decades have seen significant technological improvements in the analytical capabilities of mass spectrometers. Mass spectrometers are unique in that they can directly analyze any biological molecule susceptible to ionization. The biological studies of human metabolites and proteins using contemporary mass spectrometry technology (metabolomics and proteomics, respectively) has been ongoing for over a decade. Some of these studies have resulted in exciting insights into human biology. However, relatively few biomarkers have been translated into clinical tests. This review will discuss some key technological developments that have occurred over this time with an emphasis on technologies that will create new avenues for biomarker discovery.
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12
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González O, van Vliet M, Damen CWN, van der Kloet FM, Vreeken RJ, Hankemeier T. Matrix Effect Compensation in Small-Molecule Profiling for an LC–TOF Platform Using Multicomponent Postcolumn Infusion. Anal Chem 2015; 87:5921-9. [DOI: 10.1021/ac504268y] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Oskar González
- Division of Analytical
Biosciences, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg
55, 2333CC Leiden, The Netherlands
- Analytical
Chemistry Department, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Sarriena s/n, 48940 Leioa, Spain
| | - Michael van Vliet
- Division of Analytical
Biosciences, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg
55, 2333CC Leiden, The Netherlands
| | - Carola W. N. Damen
- Division of Analytical
Biosciences, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg
55, 2333CC Leiden, The Netherlands
| | - Frans M. van der Kloet
- Division of Analytical
Biosciences, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg
55, 2333CC Leiden, The Netherlands
| | - Rob J. Vreeken
- Division of Analytical
Biosciences, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg
55, 2333CC Leiden, The Netherlands
| | - Thomas Hankemeier
- Division of Analytical
Biosciences, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg
55, 2333CC Leiden, The Netherlands
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13
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Quantification of endogenous metabolites by the postcolumn infused-internal standard method combined with matrix normalization factor in liquid chromatography–electrospray ionization tandem mass spectrometry. J Chromatogr A 2015; 1375:62-8. [DOI: 10.1016/j.chroma.2014.11.073] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2014] [Revised: 11/03/2014] [Accepted: 11/27/2014] [Indexed: 11/19/2022]
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