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Exp Gerontol ; 98: 110-119, 2017 11.
Article in English | MEDLINE | ID: mdl-28811139

ABSTRACT

Drosophila melanogaster is increasingly used for study aging mechanism and evaluating anti-aging drugs, but the changes of metabolites and differences of metabolites change between male and female during the aging process are not well known. Metabolomics technology, a massive information provider, has promoted the understanding of metabolic profile and overall changes of metabolites in organism. In this study, 1H NMR based metabonomics was employed to investigate the dynamic changes of metabolites in whole bodies of male and female Drosophila melanogaster at 3, 15, 30, 45days and to research the gender gap of metabolites changes in aging process. The results showed that the metabolic profile at different ages in both male and female Drosophila melanogaster were separated obviously by multivariate analysis. Besides, the variety track of metabolites between male and female Drosophila melanogaster were different, the change speed in female was significantly slow than that in male. In addition, the results showed 14 metabolites (including leucine, valine, alanine, methionine, cysteine, phenylalanine, glycine, glutamine, tyrosine, tryptophan and histidine, succinate, xanthine and DMA) were associated with aging and 7 metabolites (including leucine, valine, methionine, cysteine phenylalanine, succinate and DMA) were associated with gender gap in the aging process of Drosophila melanogaster. Corresponding metabolic mechanisms referenced to the KEGG database and literatures were discussed. This study demonstrate that metabolomics is promising as a valuable method not only to reveal metabolites that related to senescence, but also to help us understand differences between male and female flies in aging process.


Subject(s)
Aging/metabolism , Drosophila melanogaster/metabolism , Energy Metabolism , Age Factors , Animals , Biomarkers/metabolism , Female , Male , Metabolomics/methods , Multivariate Analysis , Principal Component Analysis , Proton Magnetic Resonance Spectroscopy , Sex Factors
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