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.
| Original language | English |
|---|---|
| Article number | 91 |
| Journal | Frontiers in Pharmacology |
| Volume | 8 |
| Issue number | FEB |
| DOIs | |
| State | Published - Feb 27 2017 |
Keywords
- Glucocorticoids
- Inflammation
- LPS
- Metabolomics
- Pharmacogenomics
- Proteomics
- Transcriptomics
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