Big data identifies lipids as signatures of health and disease

phys.org | 6/13/2018 | Staff
itsdonaldk (Posted by) Level 3
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Biology is swaddled in lipids: fats, oils, and even waxes envelop cells and their organelles, mediate the flow of vast biological information networks, protect fragile tissues, and store essential energy across multiple organisms.

But despite their importance, lipids have traditionally been among the hardest biomolecules to study because of the diversity of their molecular structures, which are not determined by the well-defined building blocks and simple rules that govern DNA, RNA, and proteins. And this diversity means that, unlike building and analyzing genome and transcriptome databases, lipids require more customized analytic procedures.

Function - Majority - Species - Way - Cells

Because of this, it is very difficult to study either the physiological function of a vast majority of lipid species or the way they are so precisely regulated in cells. But while lipidomics technologies are progressing, translating their findings into medical applications and introducing them into clinical laboratories is still a considerable challenge.

This is the challenge that the team of Johan Auwerx at EPFL, in collaboration with Dave Pagliarini's group at the University of Wisconsin-Madison took on by measuring almost 150 lipid species in the blood and liver of mice. They also followed this up by identifying the genetic regulators of each lipid species as well as their physiological functions.

Researchers - Systems - Genetics - Approaches - Lipidomics

The researchers used systems genetics approaches to combine the lipidomics data with other "omics" datasets (phenomics, proteomics, transcriptomics) from this population of mice (so-called BXD). The approach identified plasma and blood lipid species from different lipid classes as signatures of healthy or unhealthy metabolic states.

For example, the scientists demonstrated seven plasma triglyceride species as signatures of healthy or fatty liver...
(Excerpt) Read more at: phys.org
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