title: Understanding Physiology in the Continuum: Integration of Information from Multiple -OmicsLevels.
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-omicsinformation with PKPD models, toward the development of more integrated pharmacology models.
authors.affiliation: Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, Buffalo NY, USA.
authors.forename: Kubra
authors.initials: K
authors.lastname: Kamisoglu
authors.affiliation: Department of Biomedical Engineering, Rutgers University, Piscataway NJ, USA.
authors.forename: Alison
authors.initials: A
authors.lastname: Acevedo
authors.affiliation: Department of Biological Sciences, University at Buffalo, Buffalo NY, USA.
authors.forename: Richard R
authors.initials: RR
authors.lastname: Almon
authors.affiliation: Department of Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick NJ, USA.
authors.forename: Susette
authors.initials: S
authors.lastname: Coyle
authors.affiliation: Department of Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick NJ, USA.
authors.forename: Siobhan
authors.initials: S
authors.lastname: Corbett
authors.affiliation: Department of Biological Sciences, University at Buffalo, Buffalo NY, USA.
authors.forename: Debra C
authors.initials: DC
authors.lastname: Dubois
authors.affiliation: BioMaPS Institute for Quantitative Biology, Rutgers University, Piscataway NJ, USA.
authors.forename: Tung T
authors.initials: TT
authors.lastname: Nguyen
authors.affiliation: Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, Buffalo NY, USA.
authors.forename: William J
authors.initials: WJ
authors.lastname: Jusko
authors.affiliation: Department of Biomedical Engineering, Rutgers University, PiscatawayNJ, USA; Department of Chemical Engineering, Rutgers University, PiscatawayNJ, USA.
authors.forename: Ioannis P
authors.initials: IP
authors.lastname: Androulakis
keywords: LPS; glucocorticoids; inflammation; metabolomics; pharmacogenomics; proteomics; transcriptomics