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5 results on '"National Institute of Standards and Technology Standard Reference Material 1950"'

1. MS-based lipidomics of human blood plasma: a community-initiated position paper to develop accepted guidelines 1

Author

Burla, Bo, Arita, Makoto, Arita, Masanori, Bendt, Anne K, Cazenave-Gassiot, Amaury, Dennis, Edward A, Ekroos, Kim, Han, Xianlin, Ikeda, Kazutaka, Liebisch, Gerhard, Lin, Michelle K, Loh, Tze Ping, Meikle, Peter J, Orešič, Matej, Quehenberger, Oswald, Shevchenko, Andrej, Torta, Federico, Wakelam, Michael JO, Wheelock, Craig E, and Wenk, Markus R

Subjects
Medical Biochemistry and Metabolomics, Biomedical and Clinical Sciences, Clinical Research, Good Health and Well Being, Blood Chemical Analysis, Blood Specimen Collection, Demography, Female, Guidelines as Topic, Humans, Lipids, Male, Mass Spectrometry, Reference Standards, clinical trials, diagnostic tools, lipids, mass spectrometry, absolute concentrations, clinical research, data sharing, National Institute of Standards and Technology Standard Reference Material 1950, quality control, Biochemistry and Cell Biology, Biochemistry & Molecular Biology, Biochemistry and cell biology, Medical biochemistry and metabolomics
Abstract

Human blood is a self-regenerating lipid-rich biological fluid that is routinely collected in hospital settings. The inventory of lipid molecules found in blood plasma (plasma lipidome) offers insights into individual metabolism and physiology in health and disease. Disturbances in the plasma lipidome also occur in conditions that are not directly linked to lipid metabolism; therefore, plasma lipidomics based on MS is an emerging tool in an array of clinical diagnostics and disease management. However, challenges exist in the translation of such lipidomic data to clinical applications. These relate to the reproducibility, accuracy, and precision of lipid quantitation, study design, sample handling, and data sharing. This position paper emerged from a workshop that initiated a community-led process to elaborate and define a set of generally accepted guidelines for quantitative MS-based lipidomics of blood plasma or serum, with harmonization of data acquired on different instrumentation platforms across independent laboratories as an ultimate goal. We hope that other fields may benefit from and follow such a precedent.

Published
2018

2. Shared reference materials harmonize lipidomics across MS-based detection platforms and laboratories

Author

Bo Burla, Jayashree Selvalatchmanan, Markus R. Wenk, Peter J. Meikle, Alexander Triebl, Federico Torta, Natalie A. Mellet, Sock Hwee Tan, Jeongah Oh, and Mark Y. Chan

Subjects
0301 basic medicine, Normalization (statistics), Adult, Male, Computer science, Sample (material), Medical laboratory, QD415-436, 030204 cardiovascular system & hematology, computer.software_genre, Biochemistry, lipids, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Endocrinology, Lipidomics, Methods, Humans, liquid chromatography, Sample preparation, plasma, mass spectrometry, quantitation, business.industry, Cell Biology, Shotgun lipidomics, Reference Standards, National Institute of Standards and Technology standard reference material 1950, Healthy Volunteers, 030104 developmental biology, Reference sample, harmonization, NIST, Female, Data mining, business, computer
Abstract

Quantitative MS of human plasma lipids is a promising technology for translation into clinical applications. Current MS-based lipidomic methods rely on either direct infusion (DI) or chromatographic lipid separation methods (including reversed phase and hydrophilic interaction LC). However, the use of lipid markers in laboratory medicine is limited by the lack of reference values, largely because of considerable differences in the concentrations measured by different laboratories worldwide. These inconsistencies can be explained by the use of different sample preparation protocols, method-specific calibration procedures, and other experimental and data-reporting parameters, even when using identical starting materials. Here, we systematically investigated the roles of some of these variables in multiple approaches to lipid analysis of plasma samples from healthy adults by considering: 1) different sample introduction methods (separation vs. DI methods); 2) different MS instruments; and 3) between-laboratory differences in comparable analytical platforms. Each of these experimental variables resulted in different quantitative results, even with the inclusion of isotope-labeled internal standards for individual lipid classes. We demonstrated that appropriate normalization to commonly available reference samples (i.e., "shared references") can largely correct for these systematic method-specific quantitative biases. Thus, to harmonize data in the field of lipidomics, in-house long-term references should be complemented by a commonly available shared reference sample, such as NIST SRM 1950, in the case of human plasma.

Published
2020

3. MS-based lipidomics of human blood plasma: a community-initiated position paper to develop accepted guidelines.

Author

Burla, Bo and Burla, Bo

Abstract

Human blood is a self-regenerating lipid-rich biological fluid that is routinely collected in hospital settings. The inventory of lipid molecules found in blood plasma (plasma lipidome) offers insights into individual metabolism and physiology in health and disease. Disturbances in the plasma lipidome also occur in conditions that are not directly linked to lipid metabolism; therefore, plasma lipidomics based on MS is an emerging tool in an array of clinical diagnostics and disease management. However, challenges exist in the translation of such lipidomic data to clinical applications. These relate to the reproducibility, accuracy, and precision of lipid quantitation, study design, sample handling, and data sharing. This position paper emerged from a workshop that initiated a community-led process to elaborate and define a set of generally accepted guidelines for quantitative MS-based lipidomics of blood plasma or serum, with harmonization of data acquired on different instrumentation platforms across independent laboratories as an ultimate goal. We hope that other fields may benefit from and follow such a precedent.

Published
2018

4. MS-based lipidomics of human blood plasma : a community-initiated position paper to develop accepted guidelines

Abstract

Human blood is a self-regenerating lipid-rich biological fluid that is routinely collected in hospital settings. The inventory of lipid molecules found in blood plasma (plasma lipidome) offers insights into individual metabolism and physiology in health and disease. Disturbances in the plasma lipidome also occur in conditions that are not directly linked to lipid metabolism; therefore, plasma lipidomics based on MS is an emerging tool in an array of clinical diagnostics and disease management. However, challenges exist in the translation of such lipidomic data to clinical applications. These relate to the reproducibility, accuracy, and precision of lipid quantitation, study design, sample handling, and data sharing. This position paper emerged from a workshop that initiated a community-led process to elaborate and define a set of generally accepted guidelines for quantitative MS-based lipidomics of blood plasma or serum, with harmonization of data acquired on different instrumentation platforms across independent laboratories as an ultimate goal. We hope that other fields may benefit from and follow such a precedent., Funding Agencies:National University of Singapore via the Life Sciences Institute National Research Foundation Singapore Grant NRFI2015-05 Deutsche Forschungsgemeinschaft TRR83 LiSyM Consortium - Bundesministerium fur Bildung und Forschung, Germany Foundation for the National Institutes of Health U54 GM069338 RO1 GM20501-41 Japan Agency for Medical Research and Development Grant JP18gm5910001 National Health and Medical Research Council of Australia Japan Society for the Promotion of Science 15H05897 15H05898 17H03621 Japan Agency for Medical Research and Development Grants 17gm0910005h0403 17gm1010006h0001 National Bioscience Database Center Togo Project, Japan Biotechnology and Biological Sciences Research Council Grant BB/P013384/1 Medical Research Council Grant MR/M004821/1 Academy of Finland Grant 292568 European Commission Project LITMUS Grant 777377 National Institute of General Medical Sciences Grant R01 GM105724

Published
2018
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5. Shared reference materials harmonize lipidomics across MS-based detection platforms and laboratories.

Author

Triebl A, Burla B, Selvalatchmanan J, Oh J, Tan SH, Chan MY, Mellet NA, Meikle PJ, Torta F, and Wenk MR

Subjects
Adult, Female, Healthy Volunteers, Humans, Male, Reference Standards, Young Adult, Lipidomics standards, Lipids blood, Mass Spectrometry
Abstract

Quantitative MS of human plasma lipids is a promising technology for translation into clinical applications. Current MS-based lipidomic methods rely on either direct infusion (DI) or chromatographic lipid separation methods (including reversed phase and hydrophilic interaction LC). However, the use of lipid markers in laboratory medicine is limited by the lack of reference values, largely because of considerable differences in the concentrations measured by different laboratories worldwide. These inconsistencies can be explained by the use of different sample preparation protocols, method-specific calibration procedures, and other experimental and data-reporting parameters, even when using identical starting materials. Here, we systematically investigated the roles of some of these variables in multiple approaches to lipid analysis of plasma samples from healthy adults by considering: 1 ) different sample introduction methods (separation vs. DI methods); 2 ) different MS instruments; and 3 ) between-laboratory differences in comparable analytical platforms. Each of these experimental variables resulted in different quantitative results, even with the inclusion of isotope-labeled internal standards for individual lipid classes. We demonstrated that appropriate normalization to commonly available reference samples (i.e., "shared references") can largely correct for these systematic method-specific quantitative biases. Thus, to harmonize data in the field of lipidomics, in-house long-term references should be complemented by a commonly available shared reference sample, such as NIST SRM 1950, in the case of human plasma., (Copyright © 2020 Triebl et al. Published by The American Society for Biochemistry and Molecular Biology, Inc.)

Published
2020
Full Text
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