By identifying endogenous molecules in brain extracellular fluid metabolomics can provide insight into the regulatory mechanisms and functions of sleep. Here we studied how the cortical metabolome changes during sleep, sleep deprivation and spontaneous wakefulness. Mice were implanted with electrodes for chronic sleep/wake recording and with microdialysis probes targeting prefrontal and primary motor cortex. Metabolites were measured using ultra performance liquid chromatography-high resolution mass spectrometry. Sleep/wake changes in metabolites were evaluated using partial least squares discriminant analysis, linear mixed effects model analysis of variance, and machine-learning algorithms. More than 30 known metabolites were reliably detected in most samples. When used by a logistic regression classifier, the profile of these metabolites across sleep, spontaneous wake, and enforced wake was sufficient to assign mice to their correct experimental group (pair-wise) in 80-100% of cases. Eleven of these metabolites showed significantly higher levels in awake than in sleeping mice. Some changes extend previous findings (glutamate, homovanillic acid, lactate, pyruvate, tryptophan, uridine), while others are novel (D-gluconate, N-acetyl-beta-alanine, N-acetylglutamine, orotate, succinate/methylmalonate). The upregulation of the de novo pyrimidine pathway, gluconate shunt and aerobic glycolysis may reflect a wake-dependent need to promote the synthesis of many essential components, from nucleic acids to synaptic membranes. Keywords

Metabolomic analysis of mouse prefrontal cortex reveals upregulated analytes during wakefulness compared to sleep / Bourdon Allen, K; Spano Giovanna, Maria; Marshall, William; Bellesi, Michele; Tononi, Giulio; Serra, Pier Andrea; Baghdoyan, ; Helen, A; Lydic, Ralph; Campagna Shawn, R; Cirelli, Chiara. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 8:11225(2018). [10.1038/s41598-018-29511-6]

Metabolomic analysis of mouse prefrontal cortex reveals upregulated analytes during wakefulness compared to sleep

Serra Pier Andrea;
2018-01-01

Abstract

By identifying endogenous molecules in brain extracellular fluid metabolomics can provide insight into the regulatory mechanisms and functions of sleep. Here we studied how the cortical metabolome changes during sleep, sleep deprivation and spontaneous wakefulness. Mice were implanted with electrodes for chronic sleep/wake recording and with microdialysis probes targeting prefrontal and primary motor cortex. Metabolites were measured using ultra performance liquid chromatography-high resolution mass spectrometry. Sleep/wake changes in metabolites were evaluated using partial least squares discriminant analysis, linear mixed effects model analysis of variance, and machine-learning algorithms. More than 30 known metabolites were reliably detected in most samples. When used by a logistic regression classifier, the profile of these metabolites across sleep, spontaneous wake, and enforced wake was sufficient to assign mice to their correct experimental group (pair-wise) in 80-100% of cases. Eleven of these metabolites showed significantly higher levels in awake than in sleeping mice. Some changes extend previous findings (glutamate, homovanillic acid, lactate, pyruvate, tryptophan, uridine), while others are novel (D-gluconate, N-acetyl-beta-alanine, N-acetylglutamine, orotate, succinate/methylmalonate). The upregulation of the de novo pyrimidine pathway, gluconate shunt and aerobic glycolysis may reflect a wake-dependent need to promote the synthesis of many essential components, from nucleic acids to synaptic membranes. Keywords
2018
Metabolomic analysis of mouse prefrontal cortex reveals upregulated analytes during wakefulness compared to sleep / Bourdon Allen, K; Spano Giovanna, Maria; Marshall, William; Bellesi, Michele; Tononi, Giulio; Serra, Pier Andrea; Baghdoyan, ; Helen, A; Lydic, Ralph; Campagna Shawn, R; Cirelli, Chiara. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 8:11225(2018). [10.1038/s41598-018-29511-6]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11388/242802
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