Clinical lipidomics in the era of the big data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00098892%3A_____%2F23%3A10157407" target="_blank" >RIV/00098892:_____/23:10157407 - isvavai.cz</a>
Alternative codes found
RIV/61989592:15110/23:73616043
Result on the web
<a href="https://www.degruyter.com/document/doi/10.1515/cclm-2022-1105/html" target="_blank" >https://www.degruyter.com/document/doi/10.1515/cclm-2022-1105/html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1515/cclm-2022-1105" target="_blank" >10.1515/cclm-2022-1105</a>

Result language
angličtina
Original language name
Clinical lipidomics in the era of the big data
Original language description
Lipidomics as a branch of metabolomics provides unique information on the complex lipid profile in biological materials. In clinically focused studies, hundreds of lipids together with available clinical information proved to be an effective tool in the discovery of biomarkers and understanding of pathobiochemistry. However, despite the introduction of lipidomics nearly twenty years ago, only dozens of big data studies using clinical lipidomics have been published to date. In this review, we discuss the lipidomics workflow, statistical tools, and the challenges of standartisation. The consequent summary divided into major clinical areas of cardiovascular disease, cancer, diabetes mellitus, neurodegenerative and liver diseases is demonstrating the importance of clinical lipidomics. In these publications, the potential of lipidomics for prediction, diagnosis or finding new targets for the treatment of selected diseases can be seen. The first of these results have already been implemented in clinical practice in the field of cardiovascular diseases, while in other areas we can expect the application of the results summarized in this review in the near future.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10406 - Analytical chemistry

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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