Clinical lipidomics in the era of the big data
Abstract: 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.
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Clinical lipidomics in the era of the big data ; volume:61 ; number:4 ; year:2023 ; pages:587-598 ; extent:12
Clinical chemistry and laboratory medicine ; 61, Heft 4 (2023), 587-598 (gesamt 12)
- Creator
-
Kvasnička, Aleš
Najdekr, Lukáš
Dobešová, Dana
Piskláková, Barbora
Ivanovová, Eliška
Friedecký, David
- DOI
-
10.1515/cclm-2022-1105
- URN
-
urn:nbn:de:101:1-2023022413080044488039
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
16.08.2002, 8:50 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kvasnička, Aleš
- Najdekr, Lukáš
- Dobešová, Dana
- Piskláková, Barbora
- Ivanovová, Eliška
- Friedecký, David
Other Objects (12)
Is the clinical lipidomics a potential goldmine?
Lipidomics
The emerging era of Big Data Analytics
Speech analysis in the big data era
Intelligence in the era of big data : proceedings
Requirements engineering in the big data era : proceedings
Predicting referendum results in the Big Data Era
Computational systems biology in the big data era
Clinical lipidomics: a new way to diagnose human diseases
Statistical Data Analysis in the Era of Big Data †
Holistic data-driven requirements elicitation in the big data era
Hypothyroidism, lipids, and lipidomics
Is the clinical lipidomics a potential goldmine?
Lipidomics
The emerging era of Big Data Analytics
Speech analysis in the big data era
Intelligence in the era of big data : proceedings
Requirements engineering in the big data era : proceedings
Predicting referendum results in the Big Data Era
Computational systems biology in the big data era
Clinical lipidomics: a new way to diagnose human diseases
Statistical Data Analysis in the Era of Big Data †
Holistic data-driven requirements elicitation in the big data era
Hypothyroidism, lipids, and lipidomics
Is the clinical lipidomics a potential goldmine?
Lipidomics
The emerging era of Big Data Analytics
Speech analysis in the big data era
Intelligence in the era of big data : proceedings
Requirements engineering in the big data era : proceedings
Predicting referendum results in the Big Data Era
Computational systems biology in the big data era
Clinical lipidomics: a new way to diagnose human diseases
Statistical Data Analysis in the Era of Big Data †
Holistic data-driven requirements elicitation in the big data era