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In contrast, analysis of metabolite diversity using a panel of 205 known metabolites did not show significant age-associated trends.
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Significance for age-associated pattern in metabolite diversity was established using repeated measures ANOVA and was significant for nontargeted metabolites (p<6 × 10−6) but not significant for targeted metabolites (p>0.2).
Our studies also open the door to using changes in metabolite diversity as readout for cumulative damage in age-related studies, and further improvement in sensitivity of this technology should increase the fraction of damage over functional metabolites.
The z-score analysis using Nipponbare as a reference was a compelling example of the metabolite diversity among the varieties (Figure 1C).
Nontargeted profiling may also be used to characterize patterns of molecular damage by following changes in metabolite diversity.
For metabolite diversity, each triangle represents a sample at a given age, wherein a total of three replicates were used per age group.
Dynamics of metabolite diversity throughout lifespan.
(C ) Histograms show overlaps in the distribution of signal intensities for all nontargeted metabolites vs targeted metabolites used to construct heat map images in B. DOI: http://dx.doi.org/10.7554/eLife.02077.003 10.7554/eLiFigure77.004 Figure 1 figure supplement 1. Correspondence in late life transition between metabolite diversity and mortality.
This transition in the metabolite diversity corresponded to the late-life transition in the lifespan curves and mortality, suggesting relationship between metabolite diversity and the aging process.
We discover that metabolite diversity shows a robust age-associated increase.
These considerations argue that the observed changes in metabolite diversity expose cumulative damage.
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