Evidence map›Paper›PMID 29251840›Full record

ReviewBirth defects research2017

Blood-brain barrier development: Systems modeling and predictive toxicology.

Katerine S Saili, Todd J Zurlinden, Andrew J Schwab, Aymeric Silvin, Nancy C Baker, E Sidney Hunter, Florent Ginhoux, Thomas B Knudsen

Abstract readReview
In one paragraph

Review in Birth defects research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 10% 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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 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

8 authors at 3 institutions in 2 countries.

Katerine S SailiNational Center for Computational Toxicology (NCCT); U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina 27711.ORCID http://orcid.org/0000-0001-5759-1006
Todd J ZurlindenNational Center for Computational Toxicology (NCCT); U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina 27711.ORCID http://orcid.org/0000-0003-1372-3913
Andrew J SchwabNational Health and Environmental Effects Research Laboratory (NHEERL), U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina 27711.ORCID http://orcid.org/0000-0002-1517-4308
Aymeric SilvinSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), 138648, Singapore.
Nancy C BakerLeidos, contractor to NCCT, Research Triangle Park, North Carolina 27711.ORCID http://orcid.org/0000-0002-8351-9435
E Sidney HunterNational Health and Environmental Effects Research Laboratory (NHEERL), U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina 27711.
Florent GinhouxSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), 138648, Singapore.ORCID http://orcid.org/0000-0002-2857-7755
Thomas B KnudsenNational Center for Computational Toxicology (NCCT); U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina 27711.ORCID http://orcid.org/0000-0002-5036-596X
Environmental Protection Agency · USAgency for Science, Technology and Research · SGLeidos (United States) · US

Funding

EPA R835802Intramural EPA EPA999999
6 · The paper itself

Abstract

The blood-brain barrier (BBB) serves as a gateway for passage of drugs, chemicals, nutrients, metabolites, and hormones between vascular and neural compartments in the brain. Here, we review BBB development with regard to the microphysiology of the neurovascular unit (NVU) and the impact of BBB disruption on brain development. Our focus is on modeling these complex systems. Extant in silico models are available as tools to predict the probability of drug/chemical passage across the BBB; in vitro platforms for high-throughput screening and high-content imaging provide novel data streams for profiling chemical-biological interactions; and engineered human cell-based microphysiological systems provide empirical models with which to investigate the dynamics of NVU function. Computational models are needed that bring together kinetic and dynamic aspects of NVU function across gestation and under various physiological and toxicological scenarios. This integration will inform adverse outcome pathways to reduce uncertainty in translating in vitro data and in silico models for use in risk assessments that aim to protect neurodevelopmental health.

Indexed as

Systems BiologyToxicologyAnimalsBlood-Brain BarrierBrainHumansblood-brain barrierbrainchildren's environmental healthembryoneurovascular developmentneurovascular unitpredictive toxicology

Identifiers

PMID29251840
PMCPMC6476421
OpenAlexW2780997838

What OpenQuestion 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 OpenQuestion graph.