Lipidomics in Research

The complete set of lipids in an organism or a cell along with its interactions with other molecules, such as other lipids, proteins, and metabolites constitutes the lipidome. Lipidomics is the comprehensive and quantitative study of the lipidome. It involves identification and quantitation of thousands of biological pathways involving lipids and their interactions.

Structure of a fat cell. 3D rendering. Fat cells contain a large lipid droplet (yellow), a nucleus (red) and cell organelles located in the periphery. Image Credit: Juan Gaertner / Shutterstock
Structure of a fat cell. 3D rendering. Fat cells contain a large lipid droplet (yellow), a nucleus (red) and cell organelles located in the periphery. Image Credit: Juan Gaertner / Shutterstock

Mass Spectrometry and Lipidomics

The concept of the lipidome was introduced in the scientific literature in 2001. Mass spectrometry has become the principle technique for lipidomics. Electrospray ionization (ESI) mass spectrometry and matrix-assisted laser desorption/ionization (MALDI) mass spectrometry are two methods that work well with lipids. They volatilize high mass compounds like intact lipids so that they can be further analyzed. There are three types of lipidomics studies commonly carried out using mass spectrometry.

Insights from the experts series - Novel approaches in lipidomics research

Global Lipidomic Analysis

Global lipidomic analysis involves the identification and quantification of hundreds to thousands of lipid species.

High Throughput Analysis

High throughput analysis is achieved using various shotgun-style lipidomics platforms.

Targeted Lipidomics Analysis

Targeted lipidomics analysis is the identification of one or few lipids of interest. In novel lipid discovery, liquid chromatography is coupled with mass spectrometry to find new classes of lipids and related molecular species.

MALDI-based mass spectrometry can also be coupled with thin-layer chromatography for imaging lipids from tissue slides. With ESI MS, phospholipids can be identified. Phospholipids are more sensitive to oxidation, light, and enzyme breakdown. The use of ESI to ionize phospholipids by metal ion adduction produces unique fragmentation patterns that enable analysis.

Other Methods for Lipidomics Studies

Other methods that have been used in lipidomics studies include the polymerase chain reaction (PCR), DNA microarrays, in vivo expression technology (IVET), signature-tagged mutagenesis (STM), and differential fluorescence induction (DFI).

Lipidomics and Disease

Capturing and comparing lipid profiles between two physiologically linked conditions can identify pathways of lipid metabolism that allows development of diagnostic methods.

Lipids play a role in some several chronic diseases, including diabetes and heart disease. Dyslipidemia is a major feature of those illnesses. Cholesterol and triglycerides are two types of lipids that are widely used as biomarkers for predicting disease risk. Lipidomics has the potential to provide many more lipid species that could be used as biomarkers for chronic diseases including cardiovascular disease and neurological disorders like bipolar disorder, schizophrenia, and Alzheimer’s disease.

Many diseases are by changes in lipid interactions. For example, aggregates of β-amyloid are promoted by interaction with ganglioside; molecules made of glycosphingolipid, sialic acids, and synucleins (which are associated with Parkinson’s disease) bind to fatty acids and other lipids.

Dr John Woulfe - CIHR Training Program in Neurodegenerative Lipidomics

Lipidomics Challenges

There are several challenges associated with lipidomics studies. First, the high volume of information requires large databases linked to analytical and bioinformatics platforms that can generate lipid profile data and analyzing it. Second, the diversity of lipids across different cell types and organisms make it unlikely that lipidomic data can be contained in a single database. Mechanisms are needed to interrogate different databases. Last, lipid databases currently lack the level of detail provided by the latest LC/MS-based approaches.

Sources

  1. Lipidomics in research on yeast membrane lipid homeostasis (www.sciencedirect.com/science/article/pii/S1388198117300318?via%3Dihub)
  2. Lipidomics: a promising area in OMICS research (www.omicsonline.org/...omising-area-in-omics-research-jcsb.1000093.php)
  3. Lipidomics as a principal tool for advancing biomedical research (https://www.sciencedirect.com/science/article/pii/S1673852713001239)
  4. Lipidomics: coming to grips with lipid diversity (https://www.nature.com/articles/nrm2934)
  5. Lipidomics: new tools and applications (https://www.sciencedirect.com/science/article/pii/S0092867410013528)

Further Reading

Last Updated: Feb 26, 2019

Dr. Catherine Shaffer

Written by

Dr. Catherine Shaffer

Catherine Shaffer is a freelance science and health writer from Michigan. She has written for a wide variety of trade and consumer publications on life sciences topics, particularly in the area of drug discovery and development. She holds a Ph.D. in Biological Chemistry and began her career as a laboratory researcher before transitioning to science writing. She also writes and publishes fiction, and in her free time enjoys yoga, biking, and taking care of her pets.

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