The effect of age and sex on brain metabolites: from childhood to adulthood
- PMID: 40602555
- DOI: 10.1016/j.neuroimage.2025.121353
The effect of age and sex on brain metabolites: from childhood to adulthood
Abstract
Abnormalities in the concentration of brain metabolites have been found across neuropsychiatric conditions. This cross-sectional study set out to examine the relationship between levels of neurometabolites and age and sex -key modulators of brain function and structure-, continuously from childhood to early adulthood, in areas relevant to the study of psychiatric disorders. Magnetic resonance spectroscopy (¹H MRS) data was acquired in the dorsomedial prefrontal region (dmPF) and the medial temporal lobe (mTL) in 128 healthy individuals aged 7 to 34 years, 68.5 % females (ndmPF = 124; nmTL = 75). Absolute concentrations of glutamate (Glu), glutamate and glutamine (Glx), myo-inositol (mIns), N-acetyl-aspartate and N-acetyl-aspartyl-glutamate (tNAA), glycerophosphocholine and phosphocholine (tCho), and creatine and phosphocreatine (tCr) were determined, and tested for the effects of age, sex and their interaction. In the dmPF, there were linear, age-related decreases in Glu and Glx. The association between levels of both tNAA and tCr and age adjusted to a quadratic model, consisting of a positive association until ages 20.79 and 22.82, respectively, and a negative relationship thereafter. There was a significant effect of sex in the mTL, whereby concentrations of Glu, Glx and mIns were lower in females than in males. No age by sex interactions were detected. These findings highlight the importance of accounting for both linear and non-linear age-related effects and for the potential effect of sex when interpreting disease-related differences in ¹H MRS-quantified metabolites from childhood through to adulthood.
Keywords: General population; Magnetic resonance spectroscopy; Metabolites; Neurodevelopment.
Copyright © 2025. Published by Elsevier Inc.
Conflict of interest statement
Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Gisela Sugranyes has received travel support from Angelini Pharma and consulting fees from Fenix Group. Inmaculada Baeza has received honoraria and travel support from Angelini and Otsuka-Lundbeck. These sources of support are unrelated to the topic of the current article. Joaquim Raduà has received CME honoraria from Inspira Networks for a machine learning course promoted by Adamed, outside the submitted work. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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