metabolic profiling

Metabolic profiling and big-data

Metabolic profiling is a big-data method of optimizing metabolic health

Reinforcing the importance of metabolomics, this technique has been used in the recently published work led by the University of California, Irvine which highlights the communication existing between different organs. This manuscript shows, for the first time, a detailed map or atlas on the changes in energy production and expenditure, and how changes in these networks are important in health maintenance.

The corresponding author, the professor Sassone-Corsi indicates: “The human body is a complex, beautifully integrated system that functions at optimum efficiency when the networks are in balance”.

Further, he indicates that “When this system is disrupted through misalignment among organs, the body will function at a less-than-optimum level, which may lead to disease. We are presenting a map that illustrates how to achieve the best health possible through proper balance and homeostasis.”

The usefulness of metabolomics here is emphasized by the fact that “Metabolic profiling is a big-data method of optimizing metabolic health” as professor Sassone-Corsi states.

One of the techniques employed in this work is metabolomics. Metabolomic profiling is an essential tool in the personalized medicine approach, as it offers a first-hand view on the metabolic changes associated with a specific lifestyle. Metabolomic health test kits and services offered by Biomeb are end-user optimized tools that help to understand the reactions governing health.


This entry has been produced from materials provided by the University of California, Irvine and from Technology Networks ( Therefore, it has been adapted for length and content. For further information, please contact directly the cited source.

Reference: Dyar, K. A., Lutter, D., Artati, A., Ceglia, N. J., Liu, Y., Armenta, D., … Sassone-Corsi, P. (2018). Atlas of Circadian Metabolism Reveals System-wide Coordination and Communication between Clocks. Cell, 174(6), 1571-1585.e11.