Evidence map›Paper›PMID 27051507›Full record

ReviewInterface focus2016

Improving the physiological realism of experimental models.

Kalyan C Vinnakota, Chae Y Cha, Patrik Rorsman, Robert S Balaban, Andre La Gerche, Richard Wade-Martins, Daniel A Beard, Jeroen A L Jeneson

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Interface focus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Kalyan C VinnakotaDepartment of Molecular and Integrative Physiology , University of Michigan , Ann Arbor, MI , USA.
Chae Y ChaOxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine , University of Oxford , Churchill Hospital, Oxford OX3 7LJ , UK.
Patrik RorsmanOxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine , University of Oxford , Churchill Hospital, Oxford OX3 7LJ , UK.
Robert S BalabanLaboratory of Cardiac Energetics , National Heart Lung Blood Institute , Bethesda, MD , USA.
Andre La GercheBaker IDI Heart and Diabetes Institute , Melbourne , Australia.
Richard Wade-MartinsOxford Parkinson's Disease Centre, University of Oxford, Oxford, UK; Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK.
Daniel A BeardDepartment of Molecular and Integrative Physiology , University of Michigan , Ann Arbor, MI , USA.
Jeroen A L JenesonNeuroimaging Centre, Division of Neuroscience, University Medical Center Groningen, Groningen, The Netherlands; Department of Radiology, Academic Medical Center Amsterdam, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0001-9415-514X

Funding

Control Of Cellular Energy MetabolismZIAHL004601 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI BALABAN, ROBERT · 2009 to 2023
$24.4M
The Virtual Physiological Rat ProjectP50GM094503 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BEARD, DANIEL A · 2011 to 2015
$11.6M
Integrated Modeling of Cardiac Metabolism and TransportR01HL072011 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BEARD, DANIEL A · 2004 to 2016
$4.0M
NHLBI NIH HHS R01 HL072011NIGMS NIH HHS P50 GM094503
6 · The paper itself

Abstract

The Virtual Physiological Human (VPH) project aims to develop integrative, explanatory and predictive computational models (C-Models) as numerical investigational tools to study disease, identify and design effective therapies and provide an in silico platform for drug screening. Ultimately, these models rely on the analysis and integration of experimental data. As such, the success of VPH depends on the availability of physiologically realistic experimental models (E-Models) of human organ function that can be parametrized to test the numerical models. Here, the current state of suitable E-models, ranging from in vitro non-human cell organelles to in vivo human organ systems, is discussed. Specifically, challenges and recent progress in improving the physiological realism of E-models that may benefit the VPH project are highlighted and discussed using examples from the field of research on cardiovascular disease, musculoskeletal disorders, diabetes and Parkinson's disease.

Indexed as

experimental modelshumanphysiology

Identifiers

PMID27051507
PMCPMC4759746

What Socratic holds

Textmetadata
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 Socratic graph.