bioRxivNeurosciencePreprint
Sex differences in brain metabolism assessed with whole-brain magnetic resonance spectroscopic imaging
Edgar CéléreauiD, Federico LucchettiiD, Pascal SteulletiD, Zoé SchilligeriD, Yasser Alemán‐GómeziD, Raoul JenniiD, Teya PetrovaiD, Silas ForreriD, Farnaz DelavariiD, Jean‐Baptiste LedouxiD, India D'Addona, Lila Wider, Maria Fernanda Rueda, Basilio GiangrecoiD, Patric HagmanniD, Kerstin Jessica PlesseniD, Stephan Eliez M. DiD, Philippe ConusiD, Camille PiguetiD, Arnaud MergleniD, Daniella DwiriD, Antoine KlauseriD, Paul KlauseriD
Abstract
Sex differences in brain disorders span age at onset, symptom profiles, disease course and treatment response, and may partly reflect underlying differences in cellular metabolism. Indeed, in vivo evidence of sex-related neurometabolic variation remains sparse, with heterogenous and conflicting findings. Using fast high-resolution whole-brain three-dimensional magnetic resonance spectroscopic imaging, we mapped five brain metabolites in three independent cohorts of healthy participants (total n = 114). In a discovery sample of adolescents scanned at 3 Tesla (3T) (n = 61), males showed higher total N-acetylaspartate (tNAA) across widespread gray matter regions. Regional analyses further revealed opposing sex patterns with a complementary higher total creatine (tCr) observed in females, motivating examination of their ratio as an integrative metabolic index. The tNAA/tCr ratio was consistently higher in males in the discovery sample and this finding was replicated across two independent young-adult samples (3T, n = 26; 7T, n = 27), with a widespread gray and white matter distribution. This tNAA/tCr ratio may link neuronal mitochondrial metabolism with cellular energy buffering, positioning it as a potential index of bioenergetic balance relevant for conditions showing both sex differences and altered neurometabolism, notably multiple sclerosis, Alzheimer disease, and psychosis. Together, these findings reveal a reproducible, distributed metabolic sexual dimorphism in the human brain, and underscore the importance of accounting for sex-specific neurometabolic profiles in studies of brain health and disease.
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