Real-time ex-vivo measurement of brain metabolism using hyperpolarized [1-13C]pyruvate

The ability to directly monitor in vivo brain metabolism in real time in a matter of seconds using the dissolution dynamic nuclear polarization technology holds promise to aid the understanding of brain physiology in health and disease. However, translating the hyperpolarized signal observed in the...

Full description

Saved in:
Bibliographic Details
Published in:Scientific reports Vol. 8; no. 1; pp. 9564 - 14
Main Authors: Harris, Talia, Azar, Assad, Sapir, Gal, Gamliel, Ayelet, Nardi-Schreiber, Atara, Sosna, Jacob, Gomori, J. Moshe, Katz-Brull, Rachel
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 22-06-2018
Nature Publishing Group
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The ability to directly monitor in vivo brain metabolism in real time in a matter of seconds using the dissolution dynamic nuclear polarization technology holds promise to aid the understanding of brain physiology in health and disease. However, translating the hyperpolarized signal observed in the brain to cerebral metabolic rates is not straightforward, as the observed in vivo signals reflect also the influx of metabolites produced in the body, the cerebral blood volume, and the rate of transport across the blood brain barrier. We introduce a method to study rapid metabolism of hyperpolarized substrates in the viable rat brain slices preparation, an established ex vivo model of the brain. By retrospective evaluation of tissue motion and settling from analysis of the signal of the hyperpolarized [1- 13 C]pyruvate precursor, the T 1 s of the metabolites and their rates of production can be determined. The enzymatic rates determined here are in the range of those determined previously with classical biochemical assays and are in agreement with hyperpolarized metabolite relative signal intensities observed in the rodent brain in vivo .
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-018-27747-w