Big data identifies lipids as signatures of health and disease database 12c new features

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.

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.

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 and non-alcoholic fatty liver disease (NAFLD). Their observation was validated in an independent dietary and therapeutic model of NAFLD in mice and in plasma from patients with NAFLD.

"This finding fuels optimism that lipid species could serve as signatures or biomarkers that will replace the invasive tissue biopsies currently used to diagnose diseases such as NAFLD—simply by measuring specific lipid species in the blood," says Johan Auwerx.

In both papers, the researchers pinpoint several genetic locations that may regulate the production of lipid species. By comparing the genetic data from the BXD mouse population to data from so-called genome-wide association studies of lipid-related disorders in humans, they were able to identify common genes between mice and humans that regulate lipids.

"Analyzing lipids and finding their physiological role may never be as straightforward as studying nucleic acids or proteins," says Auwerx. "But these companion studies provide a foundation for understanding the genetic regulation and physiological significance of lipid species, while yet again demonstrating the potential of Big Data mining to address biological and clinical questions."

Pooja Jha, Molly T. McDevitt, Emina Halilbasic, Evan G. Williams, Pedro M. Quiros, Karim Gariani, Maroun B. Sleiman, Rahul Gupta, Arne Ulbrich, Adam Jochem, Joshua J. Coon, Michael Trauner, David J. Pagliarini, Johan Auwerx. Genetic regulation of plasma lipid species and their association with metabolic phenotypes. Cell Systems 13 June 2018. DOI: 10.1016/j.cels.2018.05.009

Pooja Jha, Molly T. McDevitt, Rahul Gupta, Pedro M. Quiros, Evan G. Williams, Karim Gariani, Maroun B. Sleiman, Leo Diserens, Adam Jochem, Arne Ulbrich, Joshua J. Coon, Johan Auwerx, David J. Pagliarini. Systems analyses reveal physiological roles and genetic regulators of liver lipid species. Cell Systems 13 June 2018. DOI: 10.1016/j.cels.2018.05.016

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