Abstract
In this paper, we discuss approaches for integrating biological information reflecting diverse physiologic levels. In particular, we explore statistical and model-based methods for integrating transcriptomic, proteomic and metabolomics data. Our case studies reflect responses to a systemic inflammatory stimulus and in response to an anti-inflammatory treatment. Our paper serves partly as a review of existing methods and partly as a means to demonstrate, using case studies related to human endotoxemia and response to methylprednisolone (MPL) treatment, how specific questions may require specific methods, thus emphasizing the non-uniqueness of the approaches. Finally, we explore novel ways for integrating -omics information with PKPD models, toward the development of more integrated pharmacology models.
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Kamisoglu, K., Acevedo, A., Almon, R. R., Coyle, S., Corbett, S., Dubois, D. C., … Androulakis, I. P. (2017). Understanding physiology in the continuum: Integration of information from multiple -omics levels. Frontiers in Pharmacology, 8(FEB). https://doi.org/10.3389/fphar.2017.00091
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