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Why can changes in metabolite levels reveal information that DNA or proteins alone may not show?
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Systems biology
Advances in the understanding of biological systems and in the computational interpretation of those systems have enabled biologists to program mammalian cells. The cells shown were programmed to calculate basic logical operations, thanks to a highly complex artificial gene network.
In systems biology, studying metabolite levels through metabolomics provides insights that DNA or proteins alone cannot reveal because metabolites represent the functional output of complex, moment-to-moment interactions between an organism's genes and its environment.12
While genomics and proteomics identify the potential for biological activity, they do not always capture the immediate physiological state. Metabolite levels offer several unique advantages:
- Dynamic Phenotyping: Metabolites reflect observable molecular characteristics, or molecular phenotypes, that change rapidly in response to external factors like diet or stress.12
- Real-time Biochemistry: Because metabolism is the product of flexible gene-environment interactions, measuring metabolites allows researchers to observe the "whisper" of gene activity in real time, capturing the actual biochemical state of a cell or organism.2
- Functional Integration: Changes in metabolite levels can reveal the impact of disease or environmental stress—such as fluctuations in blood sugar—in ways that are not apparent by simply analyzing the static genetic code or protein expression levels.1
By integrating metabolomics with other "-omics" technologies, scientists can better understand the complex regulatory networks that govern health and biological function.12