Evidence map›Paper›PMID 28658972›Full record

ArticleExperimental biology and medicine (Maywood, N.J.)2017

Programming microphysiological systems for children's health protection.

T B Knudsen, B Klieforth, W Slikker

Abstract read
In one paragraph

Article in Experimental biology and medicine (Maywood, N.J.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. FutureTox IV Workshop Summary: Predictive Toxicology for Healthy Children.Toxicological sciences : an official journal of the Society of Toxicology · 2021
    Review
  4. Article
  5. Review
  6. Article
  7. Circadian hormone control in a human-on-a-chip: In vitro biology's ignored component?Experimental biology and medicine (Maywood, N.J.) · 2017
    Review
  8. 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

3 authors.

T B Knudsen1 National Center for Computational Toxicology/EPA, Research Triangle Park, NC 27711, USA.
B Klieforth2 National Center for Environmental Research/EPA, Washington, DC 20460, USA.
W Slikker3 National Center for Toxicological Research/FDA, Jefferson, AR 72079, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microphysiological systems (MPS) and computer simulation models that recapitulate the underlying biology and toxicology of critical developmental transitions are emerging tools for developmental effects assessment of drugs/chemicals. Opportunities and challenges exist for their application to alternative, more public health relevant and efficient chemical toxicity testing methods. This is especially pertinent to children's health research and the evaluation of complex embryological and reproductive impacts of drug/chemical exposure. Scaling these technologies to higher throughput is a key challenge and drives the need for in silico models for quantitative prediction of developmental toxicity to inform safety assessments. One example is cellular agent-based models, constructed from extant embryology, that produce data useful to simulate critical developmental transitions and thereby predict phenotypic consequences of disruption in silico. Biologically inspired MPS models built from human induced pluripotent stem (iPS)-derived cells and synthetic matrices that recapitulate organ-specific physiologies and native tissue architectures are providing exciting new research opportunities to advance the assessment of developmental toxicity and offer the possibility of deriving a full 'human on a chip' system, or a 'Homunculus.' Impact statement This 'commentary' summarizes research needs and opportunities for engineered MPS models for developmental and reproductive toxicity testing. Emerging concepts can be taken forward to a virtual tissue modeling framework for assessing chemical (and non-chemical) stressors on human development. These models will advance children's health research, both basic and translational and new ways to evaluate complex embryological and reproductive impacts of drug and chemical exposures to inform safety assessments.

Indexed as

Child HealthModels, BiologicalComputer SimulationHumansInduced Pluripotent Stem CellsMicrochip Analytical ProceduresMicrotechnologyToxicity TestscomputationalconceptusDevelopmentalorgansystemstoxicology

Identifiers

PMID28658972
PMCPMC5661771

What OpenQuestion holds

Textmetadata
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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.