Evidence map›Paper›PMID 24402116›Full record

ArticleCPT: pharmacometrics & systems pharmacology2014

A multiscale model of interleukin-6-mediated immune regulation in Crohn's disease and its application in drug discovery and development.

G Dwivedi, L Fitz, M Hegen, S W Martin, J Harrold, A Heatherington, C Li

Open access · goldAbstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
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  5. Review
  6. Review
  7. Assessing the performance of QSP models: biology as the driver for validation.Journal of pharmacokinetics and pharmacodynamics · 2024
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  9. Computational models in inflammatory bowel disease.Clinical and translational science · 2022
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  14. The impact of tumor receptor heterogeneity on the response to anti-angiogenic cancer treatment.Integrative biology : quantitative biosciences from nano to macro · 2018
    Article
  15. Article
  16. Review
  17. Dynamic Redox Regulation of IL-4 Signaling.PLoS computational biology · 2015
    Article
  18. BioModels: Content, Features, Functionality, and Use.CPT: pharmacometrics & systems pharmacology · 2015
    Article
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

G DwivediThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA.
L FitzBiotherapeutics Clinical Research, Pfizer Inc, Cambridge, Massachusetts, USA.
M HegenImmunoscience, Pfizer Inc, Cambridge, Massachusetts, USA.
S W MartinGlobal Clinical Pharmacology, Pfizer Inc, Cambridge, Massachusetts, USA.
J HarroldPharmacokinetics, Dynamics & Metabolism, Pfizer Inc, Cambridge, Massachusetts, USA.
A HeatheringtonQuantitative Clinical Sciences, Biotherapeutics, Pfizer Inc, Cambridge, Massachusetts, USA.
C LiQuantitative Clinical Sciences, Biotherapeutics, Pfizer Inc, Cambridge, Massachusetts, USA.
Pfizer (United States) · USGeorgia Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we have developed a multiscale systems model of interleukin (IL)-6-mediated immune regulation in Crohn's disease, by integrating intracellular signaling with organ-level dynamics of pharmacological markers underlying the disease. This model was linked to a general pharmacokinetic model for therapeutic monoclonal antibodies and used to comparatively study various biotherapeutic strategies targeting IL-6-mediated signaling in Crohn's disease. Our work illustrates techniques to develop mechanistic models of disease biology to study drug-system interaction. Despite a sparse training data set, predictions of the model were qualitatively validated by clinical biomarker data from a pilot trial with tocilizumab. Model-based analysis suggests that strategies targeting IL-6, IL-6Rα, or the IL-6/sIL-6Rα complex are less effective at suppressing pharmacological markers of Crohn's than dual targeting the IL-6/sIL-6Rα complex in addition to IL-6 or IL-6Rα. The potential value of multiscale system pharmacology modeling in drug discovery and development is also discussed.CPT: Pharmacometrics & Systems Pharmacology (2014) 3, e89; doi:10.1038/psp.2013.64; advance online publication 8 January 2014.

Identifiers

PMID24402116
PMCPMC3910013
OpenAlexW2044575494

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.