The first atlas of metabolites in the mouse brain has been published by a research team. The dataset includes 1,547 different molecules across 10 brain regions in male and female laboratory mice from adolescence through adulthood and into advanced old age. The work is published in the Nature Communications. The complete dataset is publicly available at https://mouse.atlas.metabolomics.us/.
“This is the largest metabolome analysis available on the brain, worldwide. It covers 1,547 identified metabolites, enabling analysis of many chemical conversions for energy, neurotransmitters or complex lipids in the brain,” said the senior author on the paper.
Metabolomics is the study of the chemical fingerprints of metabolism in living cells. It uses advanced high-throughput techniques to separate and identify all the different chemicals, or metabolites, present at a given time in a cell, tissue or organ. Alongside genomics, transcriptomics and proteomics, these techniques allow scientists to better understand what is happening inside cells and tissues.
The researchers sampled mice at ages 3 weeks (adolescent), 16 weeks (early adult), 59 weeks (middle age) and 92 weeks (old age). They looked at ten separate brain regions with different functions. The new atlas can be used to better understand these different functions, the senior author said.
The results show that the brain metabolome clearly is clearly distinct between large brain regions such as the brainstem, which controls vital functions such as breathing and blood pressure, from the cerebrum, which controls movements, speech and thinking, the author said. In addition, specific sections showed high concentrations of metabolites associated with particular receptors, such as adenosine, ceramides and phospholipid ethers.
They did not find any significant metabolic differences between the brains male and female mice.
When the team compared animals of different ages, they found that overall, adult mice showed the greatest metabolic difference between brain sections. The differences between regions were less in adolescence and much less at very old ages.
“At very old age, energy functions appear to be less efficient, and the myelin sheaths that surround the axons, or wiring, of the brain change composition,” the author said.
Lipid molecules especially showed large differences in aging and across brain regions. These lipids deserve specific investigation to see how they relate to changes in brain function, for example in signaling.
At very old age, the response system against oxidative stress becomes very active, while proteins start breaking down into peptides at an increased rate, he said. These changes are reflected in the metabolome.
“This landmark paper clearly demonstrates the power of the laboratory mouse as a model to accelerate our understanding of brain metabolism, including and especially in humans,” another author said.’
https://egghead.ucdavis.edu/2021/10/15/a-map-of-mouse-brain-metabolism-in-aging/
https://www.nature.com/articles/s41467-021-26310-y
http://sciencemission.com/site/index.php?page=news&type=view&id=publications%2Fa-metabolome-atlas-of&filter=22
A map of mouse brain metabolism in aging
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