Integrated Brain Atlas for Unbiased Mapping of Nervous System Effects Following Liraglutide Treatment

Casper Bo Gravesen Salinas, Tess Tsai Hsiu Lu, Sanaz Gabery, Kasper Marstal, Tomas Alanentalo, Aaron Jeffrey Mercer, Anda Cornea, Knut Conradsen, Jacob Hecksher-Sørensen, Anders Bjorholm Dahl, Lotte Bjerre Knudsen*, Anna Secher

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Light Sheet Fluorescence Microscopy (LSFM) of whole organs, in particular the brain, offers a plethora of biological data imaged in 3D. This technique is however often hindered by cumbersome non-Automated analysis methods. Here we describe an approach to fully automate the analysis by integrating with data from the Allen Institute of Brain Science (AIBS), to provide precise assessment of the distribution and action of peptide-based pharmaceuticals in the brain. To illustrate this approach, we examined the acute central nervous system effects of the glucagon-like peptide-1 (GLP-1) receptor agonist liraglutide. Peripherally administered liraglutide accessed the hypothalamus and brainstem, and led to activation in several brain regions of which most were intersected by projections from neurons in the lateral parabrachial nucleus. Collectively, we provide a rapid and unbiased analytical framework for LSFM data which enables quantification and exploration based on data from AIBS to support basic and translational discovery.

Original languageEnglish
Article number10310
JournalScientific Reports
Volume8
Issue number1
Number of pages12
ISSN2045-2322
DOIs
Publication statusPublished - 1 Dec 2018

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