Evidence map›Paper›PMID 32180532›Full record

ArticleVeterinary pathology2020

Microphysiological Systems: A Pathologist's Perspective.

Radhakrishna Sura, Terry Van Vleet, Brian R Berridge

Open access · greenAbstract read
In one paragraph

Article in Veterinary pathology, 2020. 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
0.3field-weighted citation impact, top 46% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Radhakrishna SuraGlobal Preclinical Safety, AbbVie Inc, North Chicago, IL, USA.ORCID 0000-0001-6337-5588
Terry Van VleetGlobal Preclinical Safety, AbbVie Inc, North Chicago, IL, USA.
Brian R BerridgeNational Toxicology Program, The National Institute of Environmental Health Sciences, Durham, NC, USA.ORCID 0000-0003-1988-2819
AbbVie (United States) · USNational Institute of Environmental Health Sciences · US

Funding

Intramural NIH HHS Z99 ES999999
6 · The paper itself

Abstract

High-throughput in vitro models lack human-relevant complexity, which undermines their ability to accurately mimic in vivo biologic and pathologic responses. The emergence of microphysiological systems (MPS) presents an opportunity to revolutionize in vitro modeling for both basic biomedical research and applied drug discovery. The MPS platform has been an area of interdisciplinary collaboration to develop new, predictive, and reliable in vitro methods for regulatory acceptance. The current MPS models have been developed to recapitulate an organ or tissue on a smaller scale. However, the complexity of these models (ie, including all cell types present in the in vivo tissue) with appropriate structural, functional, and biochemical attributes are often not fully characterized. Here, we provide an overview of the capabilities and limitations of the microfluidic MPS model (aka organs-on-chips) within the scope of drug development. We recommend the engagement of pathologists early in the MPS design, characterization, and validation phases, because this will enable development of more robust and comprehensive MPS models that can accurately replicate normal biology and pathophysiology and hence be more predictive of human responses.

Indexed as

Models, BiologicalAnimalsBiomarkersCell Culture TechniquesCommunicable DiseasesDrug DiscoveryIn Vitro TechniquesNeoplasmsPathologistsPluripotent Stem CellsTissue Culture TechniquesBiomarkersalternativebiomarkercell culture techniquesdrug developmentinduced pluripotent stem cellsin vitromicrophysiological systemmodelorgan on a chipsafety assessment

Identifiers

PMID32180532
PMCPMC12961399
OpenAlexW3011073541

What Socratic holds

Textmetadata
LicenceTDM
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.