Literature DB >> 34409495

Lipidomics in Biomarker Research.

Thorsten Hornemann1.   

Abstract

Lipids are natural substances found in all living organisms and involved in many biological functions. Imbalances in the lipid metabolism are linked to various diseases such as obesity, diabetes, or cardiovascular disease. Lipids comprise thousands of chemically distinct species making them a challenge to analyze because of their great structural diversity.Thanks to the technological improvements in the fields of chromatography, high-resolution mass spectrometry, and bioinformatics over the last years, it is now possible to perform global lipidomics analyses, allowing the concomitant detection, identification, and relative quantification of hundreds of lipid species. This review shall provide an insight into a general lipidomics workflow and its application in metabolic biomarker research.
© 2021. The Author(s).

Entities:  

Keywords:  Biomarkers; Data analysis; Dyslipidemia; LC/MS; Lipids; Metabolic disease; Metabolites

Mesh:

Substances:

Year:  2022        PMID: 34409495     DOI: 10.1007/164_2021_517

Source DB:  PubMed          Journal:  Handb Exp Pharmacol        ISSN: 0171-2004


  87 in total

1.  Lipidomics profiling by high-resolution LC-MS and high-energy collisional dissociation fragmentation: focus on characterization of mitochondrial cardiolipins and monolysocardiolipins.

Authors:  Susan S Bird; Vasant R Marur; Matthew J Sniatynski; Heather K Greenberg; Bruce S Kristal
Journal:  Anal Chem       Date:  2010-12-30       Impact factor: 6.986

Review 2.  MALDI Imaging mass spectrometry: current frontiers and perspectives in pathology research and practice.

Authors:  Michaela Aichler; Axel Walch
Journal:  Lab Invest       Date:  2015-01-26       Impact factor: 5.662

Review 3.  Metabolic profiling of lipids by supercritical fluid chromatography/mass spectrometry.

Authors:  Takeshi Bamba; Jae Won Lee; Atsuki Matsubara; Eiichiro Fukusaki
Journal:  J Chromatogr A       Date:  2012-05-28       Impact factor: 4.759

4.  Serum lipidomics profiling using LC-MS and high-energy collisional dissociation fragmentation: focus on triglyceride detection and characterization.

Authors:  Susan S Bird; Vasant R Marur; Matthew J Sniatynski; Heather K Greenberg; Bruce S Kristal
Journal:  Anal Chem       Date:  2011-08-05       Impact factor: 6.986

5.  Separation of cis-trans phospholipid isomers using reversed phase LC with high resolution MS detection.

Authors:  Susan S Bird; Vasant R Marur; Irina G Stavrovskaya; Bruce S Kristal
Journal:  Anal Chem       Date:  2012-06-12       Impact factor: 6.986

6.  Deoxysphingoid bases as plasma markers in diabetes mellitus.

Authors:  Mariana Bertea; Markus F Rütti; Alaa Othman; Jaqueline Marti-Jaun; Martin Hersberger; Arnold von Eckardstein; Thorsten Hornemann
Journal:  Lipids Health Dis       Date:  2010-08-16       Impact factor: 3.876

7.  Comprehensive quantitative analysis of bioactive sphingolipids by high-performance liquid chromatography-tandem mass spectrometry.

Authors:  Jacek Bielawski; Jason S Pierce; Justin Snider; Barbara Rembiesa; Zdzislaw M Szulc; Alicja Bielawska
Journal:  Methods Mol Biol       Date:  2009

8.  Qualitative Characterization of the Rat Liver Mitochondrial Lipidome using LC-MS Profiling and High Energy Collisional Dissociation (HCD) All Ion Fragmentation.

Authors:  Susan S Bird; Vasant R Marur; Irina G Stavrovskaya; Bruce S Kristal
Journal:  Metabolomics       Date:  2013-03       Impact factor: 4.290

9.  Plasma lysophosphatidylcholine levels are reduced in obesity and type 2 diabetes.

Authors:  Melissa N Barber; Steve Risis; Christine Yang; Peter J Meikle; Margaret Staples; Mark A Febbraio; Clinton R Bruce
Journal:  PLoS One       Date:  2012-07-25       Impact factor: 3.240

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