Circadian and Age-Related Variations of Amino Acids Levels in Drosophila Brains: Correlations and Descriptive Dimensions

A comprehensive view of whole-brain amino acid levels holds the potential to provide valuable insights into the brain’s state, given the mutual interconnections through metabolism, food intake, and neurotransmission. We tested this concept by evaluating free amino acid levels in single Drosophila br...

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Published inACS chemical neuroscience Vol. 16; no. 14; pp. 2564 - 2571
Main Authors Parrot, Sandrine, Crehan, Jacob, Aman, Chloé, De Deurwaerdère, Philippe, Thimgan, Matthew, Seugnet, Laurent
Format Journal Article
LanguageEnglish
Published United States American Chemical Society 16.07.2025
American Chemical Society (ACS)
Subjects
Aging - metabolism
Aging - physiology
Amino Acids - metabolism
Animals
Brain - metabolism
Circadian Rhythm - physiology
Drosophila
Drosophila melanogaster
Life Sciences
Male
Sleep - physiology
metabolism
aging
neurochemistry
sleep−wake
multivariate analysis
food intake
Online AccessGet full text
ISSN1948-7193
1948-7193
DOI10.1021/acschemneuro.5c00052

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Abstract A comprehensive view of whole-brain amino acid levels holds the potential to provide valuable insights into the brain’s state, given the mutual interconnections through metabolism, food intake, and neurotransmission. We tested this concept by evaluating free amino acid levels in single Drosophila brains across 24 h and at two different ages. A large proportion of these amino acids displayed time-of-day variations, and a subset exhibited age-dependent variations. Cross-correlation analysis of the data sets confirmed broad time-of-day and age dependent interconnections between amino acids. Factor Analysis of Mixed Data revealed further data structuration along key amino acids. For example, 50% of the variance could be accounted for by an inverse coupling between gamma-aminobutyric acid and several essential amino acids during the active phase, linking food intake and sleep. This proof of concept emphasizes the value of combining multivariate analysis to whole-brain amino acid level evaluation, shedding potentially new light on sleep–wake regulation and aging.
AbstractList A comprehensive view of whole-brain amino acid levels holds the potential to provide valuable insights into the brain’s state, given the mutual interconnections through metabolism, food intake, and neurotransmission. We tested this concept by evaluating free amino acid levels in single Drosophila brains across 24 h and at two different ages. A large proportion of these amino acids displayed time-of-day variations, and a subset exhibited age-dependent variations. Cross-correlation analysis of the data sets confirmed broad time-of-day and age dependent interconnections between amino acids. Factor Analysis of Mixed Data revealed further data structuration along key amino acids. For example, 50% of the variance could be accounted for by an inverse coupling between gamma-aminobutyric acid and several essential amino acids during the active phase, linking food intake and sleep. This proof of concept emphasizes the value of combining multivariate analysis to whole-brain amino acid level evaluation, shedding potentially new light on sleep–wake regulation and aging.
A comprehensive view of whole-brain amino acid levels holds the potential to provide valuable insights into the brain's state, given the mutual interconnections through metabolism, food intake, and neurotransmission. We tested this concept by evaluating free amino acid levels in single brains across 24 h and at two different ages. A large proportion of these amino acids displayed time-of-day variations, and a subset exhibited age-dependent variations. Cross-correlation analysis of the data sets confirmed broad time-of-day and age dependent interconnections between amino acids. Factor Analysis of Mixed Data revealed further data structuration along key amino acids. For example, 50% of the variance could be accounted for by an inverse coupling between gamma-aminobutyric acid and several essential amino acids during the active phase, linking food intake and sleep. This proof of concept emphasizes the value of combining multivariate analysis to whole-brain amino acid level evaluation, shedding potentially new light on sleep-wake regulation and aging.
A comprehensive view of whole-brain amino acid levels holds the potential to provide valuable insights into the brain's state, given the mutual interconnections through metabolism, food intake, and neurotransmission. We tested this concept by evaluating free amino acid levels in single Drosophila brains across 24 h and at two different ages. A large proportion of these amino acids displayed time-of-day variations, and a subset exhibited age-dependent variations. Cross-correlation analysis of the data sets confirmed broad time-of-day and age dependent interconnections between amino acids. Factor Analysis of Mixed Data revealed further data structuration along key amino acids. For example, 50% of the variance could be accounted for by an inverse coupling between gamma-aminobutyric acid and several essential amino acids during the active phase, linking food intake and sleep. This proof of concept emphasizes the value of combining multivariate analysis to whole-brain amino acid level evaluation, shedding potentially new light on sleep-wake regulation and aging.A comprehensive view of whole-brain amino acid levels holds the potential to provide valuable insights into the brain's state, given the mutual interconnections through metabolism, food intake, and neurotransmission. We tested this concept by evaluating free amino acid levels in single Drosophila brains across 24 h and at two different ages. A large proportion of these amino acids displayed time-of-day variations, and a subset exhibited age-dependent variations. Cross-correlation analysis of the data sets confirmed broad time-of-day and age dependent interconnections between amino acids. Factor Analysis of Mixed Data revealed further data structuration along key amino acids. For example, 50% of the variance could be accounted for by an inverse coupling between gamma-aminobutyric acid and several essential amino acids during the active phase, linking food intake and sleep. This proof of concept emphasizes the value of combining multivariate analysis to whole-brain amino acid level evaluation, shedding potentially new light on sleep-wake regulation and aging.
Author Seugnet, Laurent
Aman, Chloé
De Deurwaerdère, Philippe
Thimgan, Matthew
Parrot, Sandrine
Crehan, Jacob
AuthorAffiliation Centre de Recherche en Neurosciences de Lyon CRNL U1028 UMR5292
Université Claude Bernard Lyon 1, INSERM
University of Bordeaux, CNRS
Institut des Neurosciences Intégratives et Cognitives d’Aquitaine INCIA CNRS UMR5287
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  fullname: Crehan, Jacob
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SubjectTerms Aging - metabolism
Aging - physiology
Amino Acids - metabolism
Animals
Brain - metabolism
Circadian Rhythm - physiology
Drosophila
Drosophila melanogaster
Life Sciences
Male
Sleep - physiology
Title Circadian and Age-Related Variations of Amino Acids Levels in Drosophila Brains: Correlations and Descriptive Dimensions
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