Metabolomics

, Volume 3, Issue 4, pp 427–437

Comparison of human axillary odour profiles obtained by gas chromatography/mass spectrometry and skin microbial profiles obtained by denaturing gradient gel electrophoresis using multivariate pattern recognition

Authors

  • Yun Xu
    • Centre for Chemometrics, School of ChemistryUniversity of Bristol
  • Sarah J. Dixon
    • Centre for Chemometrics, School of ChemistryUniversity of Bristol
    • Centre for Chemometrics, School of ChemistryUniversity of Bristol
  • Helena A. Soini
    • Institute for Pheromone Research and Department of ChemistryIndiana University
  • Milos V. Novotny
    • Institute for Pheromone Research and Department of ChemistryIndiana University
  • Karlheinz Trebesius
    • Vermicon AG
  • Ingrid Bergmaier
    • Vermicon AG
  • Elisabeth Oberzaucher
    • Department for AnthropologyLudwig Boltzmann Institute for Urban Ethology
  • Karl Grammer
    • Department for AnthropologyLudwig Boltzmann Institute for Urban Ethology
  • Dustin J. Penn
    • Konrad Lorenz Institute for EthologyAustrian Academy of Sciences
Article

DOI: 10.1007/s11306-007-0054-6

Cite this article as:
Xu, Y., Dixon, S.J., Brereton, R.G. et al. Metabolomics (2007) 3: 427. doi:10.1007/s11306-007-0054-6

Abstract

Several studies have shown that microbial action is responsible for many compounds responsible for human odour. In this paper, we compare the pattern of microbial profiles and that of chemical profiles of human axillary odour by using multivariate pattern matching techniques. Approximately 200 subjects from Carinthia, Austria, participated in the study. The microbial profiles were represented by denaturing gradient gel electrophoresis (DGGE) analysis and the axillary odour profiles were determined in the sweat samples collected by a stir-bar sampling device and analysed by gas chromatography/mass spectrometry (GC/MS). Both qualitative and quantitative distance metrics were used to construct dissimilarity matrices between samples which were then used to represent the patterns of these two types of profiles. The distance matrices were then compared by using the Mantel test and the Procrustean test. The results show that on the overall dataset there is no strong correlation between microbial and chemical profiles. When the data are split into family groups, correlations vary according to family with a range of estimated p values from 0.00 to 0.90 that the null hypothesis (no correlation) holds. When 32 subjects who followed four basic rules of behaviour were selected, the estimated p-values are 0.00 using qualitative and <0.01 using quantitative distance metrics, suggesting excellent evidence that there is a connection between the microbial and chemical signature.

Keywords

multivariate pattern comparison human odour profile human microbial profile gas chromatography/mass spectrometry denaturing gradient gel electrophoresis

Copyright information

© Springer Science+Business Media, LLC 2007