PLoS ONE (Jan 2018)

Differential metabolomics analysis allows characterization of diversity of metabolite networks between males and females.

  • Zimin Li,
  • Yuxi Zhang,
  • Ting Hu,
  • Sergei Likhodii,
  • Guang Sun,
  • Guangju Zhai,
  • Zhaozhi Fan,
  • Chunji Xuan,
  • Weidong Zhang

DOI
https://doi.org/10.1371/journal.pone.0207775
Journal volume & issue
Vol. 13, no. 11
p. e0207775

Abstract

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Females and males are known to have different abilities to cope with stress and disease. This study was designed to investigate the effect of sex on properties of a complex interlinked network constructed of central biochemical metabolites. The study involved the blood collection and analysis of a large set of blood metabolic markers from a total of 236 healthy participants, which included 140 females and 96 males. Metabolic profiling yielded concentrations of 168 metabolites for each subject. A differential correlation network analysis approach was developed for this study that allowed detection and characterization of interconnection differences in metabolites in males and females. Through topological analysis of the differential network that depicted metabolite differences in the sexes, we identified metabolites with high centralities in this network. These key metabolites were identified as 10 phosphatidylcholines (PCaaC34:4, PCaaC36:6, PCaaC34:3, PCaaC42:2, PCaeC38:1, PCaeC38:2, PCaaC40:1, PCaeC34:1, PC aa C32:1 and PC aa C40:6) and 4 acylcarnitines (C3-OH, C7-DC, C3 and C0). Identification of these metabolites may help further studies of sex-specific differences in the metabolome that may underlie different responses to stress and disease in males and females.