3.8 Article

Investigating the effects of a FAAH inhibitor in the laterodorsal tegmental nucleus using a new ex vivo mouse preparation

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DOI: 10.1016/j.ejmcr.2023.100111

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LDT; FAAH inhibitors; FAAH; Lipids; ex vivo model; Oleyl tri fluoro methyl ketone; Metabolomics; Proteomics; Mouse

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As part of the brainstem reticular activating system, the laterodorsal tegmentum (LDT) plays a central role in regulating sleep, arousal, and motivated behaviors including addiction. This study investigated the neuronal lipids within the LDT and the effects of ex vivo treatment with the FAAH inhibitor OTMK. Metabolomics and proteomic analyses were conducted to reveal differences between treated and untreated LDT samples. The results suggest that this ex vivo preparation can be used for screening different FAAH inhibitors and to further characterize the global mass spectrometry-based omics profiles within the LDT.
As part of the brainstem reticular activating system, the laterodorsal tegmentum (LDT) is a central player in regulating sleep, arousal, and motivated behaviors including addiction. The neuronal lipids within the LDT that could regulate neuronal activity and LDT signaling are not fully characterized due, in part, to the complication of the presence of fatty acid amide hydrolases (FAAH). To determine the lipids in the LDT, mouse brain slices at different stages of brain development (16, 26 and 66 days) were exposed ex vivo to the FAAH inhibitor oleyl trifluoromethyl ketone (OTMK). Metabolomics and proteomic analyses were conducted on matched samples. Metabolomics analysis revealed differences between OTMK treated and untreated LDT. Furthermore, a distinct phenotype (proteomic profile) as a function of OTMK treatment was observed in LDT from adolescent (66 days) mice indicating an effect of treatment with OTMK at later stages of brain development. Our data indicate that this ex vivo preparation could facilitate screening of different FAAH inhibitors in mammalian tissues, and more importantly, this preparation should allow a deeper characterization of global mass spectrometry-based omics profiles within the LDT.

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