Evidence map›Paper›PMID 25759670›Full record

ArticleFrontiers in physiology2015

The Open Physiology workflow: modeling processes over physiology circuitboards of interoperable tissue units.

Bernard de Bono, Soroush Safaei, Pierre Grenon, David P Nickerson, Samuel Alexander, Michiel Helvensteijn, Joost N Kok, Natallia Kokash, Alan Wu, Tommy Yu and 2 more

Abstract read
In one paragraph

Article in Frontiers in physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Modular modelling with Physiome standards.The Journal of physiology · 2016
    Article
  6. Article
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

12 authors.

Bernard de BonoCentre for Health Informatics and Multiprofessional Education, University College London London, UK ; Auckland Bioengineering Institute, University of Auckland Auckland, New Zealand.
Soroush SafaeiAuckland Bioengineering Institute, University of Auckland Auckland, New Zealand.
Pierre GrenonCentre for Health Informatics and Multiprofessional Education, University College London London, UK.
David P NickersonAuckland Bioengineering Institute, University of Auckland Auckland, New Zealand.
Samuel AlexanderCentre for Health Informatics and Multiprofessional Education, University College London London, UK.
Michiel HelvensteijnLeiden Institute of Advanced Computer Science, University of Leiden Leiden, Netherlands.
Joost N KokLeiden Institute of Advanced Computer Science, University of Leiden Leiden, Netherlands.
Natallia KokashLeiden Institute of Advanced Computer Science, University of Leiden Leiden, Netherlands.
Alan WuAuckland Bioengineering Institute, University of Auckland Auckland, New Zealand.
Tommy YuAuckland Bioengineering Institute, University of Auckland Auckland, New Zealand.
Peter HunterAuckland Bioengineering Institute, University of Auckland Auckland, New Zealand.
Richard A BaldockMedical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh Edinburgh, UK.

Funding

The Virtual Physiological Rat ProjectP50GM094503 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BEARD, DANIEL A · 2011 to 2015
$11.6M
Medical Research Council MC_PC_U127527203NIGMS NIH HHS P50 GM094503
6 · The paper itself

Abstract

A key challenge for the physiology modeling community is to enable the searching, objective comparison and, ultimately, re-use of models and associated data that are interoperable in terms of their physiological meaning. In this work, we outline the development of a workflow to modularize the simulation of tissue-level processes in physiology. In particular, we show how, via this approach, we can systematically extract, parcellate and annotate tissue histology data to represent component units of tissue function. These functional units are semantically interoperable, in terms of their physiological meaning. In particular, they are interoperable with respect to [i] each other and with respect to [ii] a circuitboard representation of long-range advective routes of fluid flow over which to model long-range molecular exchange between these units. We exemplify this approach through the combination of models for physiology-based pharmacokinetics and pharmacodynamics to quantitatively depict biological mechanisms across multiple scales. Links to the data, models and software components that constitute this workflow are found at http://open-physiology.org/.

Indexed as

ApiNATOMYfluid flow modelingfunctional tissue unitshistologyphysiology-based pharmacokineticsphysiology circuit-boardingvisual knowledge management

Identifiers

PMID25759670
PMCPMC4338662

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.