The DOI matches its Crossref record; 116 of the 116 references it cites were found in a registry or an index.
MS-based lipidomics of human blood plasma: a community-initiated position paper to develop accepted guidelines
Open accessAbstract
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.
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Self-citationMethionine transsulfuration pathway is upregulated in long-lived humans
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Metadata
- Authors
- Burla, B., Arita, M., Arita, M., Bendt, A. K., Cazenave-Gassiot, A., Dennis, E. A., Ekroos, K., Han, X., Ikeda, K., Liebisch, G., Lin, M. K., Loh, T. P., Meikle, P. J., Orešič, M., Quehenberger, O., Shevchenko, A., Torta, F., Wakelam, M. J. O., Wheelock, C. E., & Wenk, M. R.
- Venue
- Journal of Lipid Research
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 59
- Issue
- 10
- Pages
- 2001-2017
- ISSN
- 0022-2275 (ISSN-L)
- OpenAlex
- W2886084326
- Cited by
- 312
- References
- 116
- FWCI
- 10.91
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Burla, B., Arita, M., Arita, M., Bendt, A. K., Cazenave-Gassiot, A., Dennis, E. A., Ekroos, K., Han, X., Ikeda, K., Liebisch, G., Lin, M. K., Loh, T. P., Meikle, P. J., Orešič, M., Quehenberger, O., Shevchenko, A., Torta, F., Wakelam, M. J. O., Wheelock, C. E., & Wenk, M. R. (2018). MS-based lipidomics of human blood plasma: a community-initiated position paper to develop accepted guidelines. Journal of Lipid Research. https://doi.org/10.1194/jlr.s087163
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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