Literature DB >> 27570730

Quantitative Systems Pharmacology: A Framework for Context.

Ioannis P Androulakis1.   

Abstract

Quantitative Systems Pharmacology (QSP) is receiving increased attention. As the momentum builds and the expectations grow it is important to (re)assess and formalize the basic concepts and approaches. In this short review, I argue that QSP, in addition to enabling the rational integration of data and development of complex models, maybe more importantly, provides the foundations for developing an integrated framework for the assessment of drugs and their impact on disease within a broader context expanding the envelope to account in great detail for physiology, environment and prior history. I articulate some of the critical enablers, major obstacles and exciting opportunities manifesting themselves along the way. Charting such overarching themes will enable practitioners to identify major and defining factors as the field progressively moves towards personalized and precision health care delivery.

Entities:  

Keywords:  PKPD; chronic disease; inflammation; quantitative systems pharmacology

Year:  2016        PMID: 27570730      PMCID: PMC4996481          DOI: 10.1007/s40495-016-0058-x

Source DB:  PubMed          Journal:  Curr Pharmacol Rep        ISSN: 2198-641X


  116 in total

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2.  RELATIONSHIP BETWEEN ELIMINATION RATE OF DRUGS AND RATE OF DECLINE OF THEIR PHARMACOLOGIC EFFECTS.

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3.  The path to personalized medicine.

Authors:  Margaret A Hamburg; Francis S Collins
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Journal:  Crit Care Med       Date:  2010-10       Impact factor: 7.598

5.  Fear of terror and inflammation ignite heart health decline.

Authors:  Roland von Känel
Journal:  Proc Natl Acad Sci U S A       Date:  2015-01-23       Impact factor: 11.205

6.  Time-restricted feeding without reducing caloric intake prevents metabolic diseases in mice fed a high-fat diet.

Authors:  Megumi Hatori; Christopher Vollmers; Amir Zarrinpar; Luciano DiTacchio; Eric A Bushong; Shubhroz Gill; Mathias Leblanc; Amandine Chaix; Matthew Joens; James A J Fitzpatrick; Mark H Ellisman; Satchidananda Panda
Journal:  Cell Metab       Date:  2012-05-17       Impact factor: 27.287

7.  The Type 1 Diabetes PhysioLab Platform: a validated physiologically based mathematical model of pathogenesis in the non-obese diabetic mouse.

Authors:  L Shoda; H Kreuwel; K Gadkar; Y Zheng; C Whiting; M Atkinson; J Bluestone; D Mathis; D Young; S Ramanujan
Journal:  Clin Exp Immunol       Date:  2010-05-18       Impact factor: 4.330

8.  Pre-clinical pharmacokinetics of UK-453,061, a novel non-nucleoside reverse transcriptase inhibitor (NNRTI), and use of in silico physiologically based prediction tools to predict the oral pharmacokinetics of UK-453,061 in man.

Authors:  G Allan; J Davis; M Dickins; I Gardner; T Jenkins; H Jones; R Webster; H Westgate
Journal:  Xenobiotica       Date:  2008-06       Impact factor: 1.908

9.  In search of a germ theory equivalent for chronic disease.

Authors:  Garry Egger
Journal:  Prev Chronic Dis       Date:  2012-05-10       Impact factor: 2.830

Review 10.  Improving collaboration by standardization efforts in systems biology.

Authors:  Andreas Dräger; Bernhard Ø Palsson
Journal:  Front Bioeng Biotechnol       Date:  2014-12-08
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  7 in total

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Authors:  Arzu Selen; Anette Müllertz; Filippos Kesisoglou; Rodney J Y Ho; Jack A Cook; Paul A Dickinson; Talia Flanagan
Journal:  AAPS J       Date:  2020-07-27       Impact factor: 4.009

2.  On the analysis of complex biological supply chains: From Process Systems Engineering to Quantitative Systems Pharmacology.

Authors:  Rohit T Rao; Megerle L Scherholz; Clara Hartmanshenn; Seul-A Bae; Ioannis P Androulakis
Journal:  Comput Chem Eng       Date:  2017-06-03       Impact factor: 3.845

3.  Towards a comprehensive assessment of QSP models: what would it take?

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Journal:  J Pharmacokinet Pharmacodyn       Date:  2022-08-13       Impact factor: 2.410

4.  From data to QSP models: a pipeline for using Boolean networks for hypothesis inference and dynamic model building.

Authors:  M Putnins; O Campagne; D E Mager; I P Androulakis
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5.  Understanding Physiology in the Continuum: Integration of Information from Multiple -Omics Levels.

Authors:  Kubra Kamisoglu; Alison Acevedo; Richard R Almon; Susette Coyle; Siobhan Corbett; Debra C Dubois; Tung T Nguyen; William J Jusko; Ioannis P Androulakis
Journal:  Front Pharmacol       Date:  2017-02-27       Impact factor: 5.810

6.  Development and validation of a physiology-based model for the prediction of pharmacokinetics/toxicokinetics in rabbits.

Authors:  Panteleimon D Mavroudis; Helen E Hermes; Donato Teutonico; Thomas G Preuss; Sebastian Schneckener
Journal:  PLoS One       Date:  2018-03-21       Impact factor: 3.240

7.  Model informed quantification of the feed-forward stimulation of growth hormone by growth hormone-releasing hormone.

Authors:  Michiel J van Esdonk; Jacobus Burggraaf; Piet H van der Graaf; Jasper Stevens
Journal:  Br J Clin Pharmacol       Date:  2020-03-09       Impact factor: 4.335

  7 in total

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