Evidence map›Paper›PMID 31249876›Full record

ArticleBioengineering & translational medicine2019

A microfluidic model of human brain (μHuB) for assessment of blood brain barrier.

Tyler D Brown, Maksymilian Nowak, Alexandra V Bayles, Balabhaskar Prabhakarpandian, Pankaj Karande, Joerg Lahann, Matthew E Helgeson, Samir Mitragotri

Open access · goldAbstract read
In one paragraph

Article in Bioengineering & translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 108 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. HumanBioactive materials · 2026
    Article
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  11. Article
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  16. The Glycocalyx: The Importance of Sugar Coating the Blood-Brain Barrier.International journal of molecular sciences · 2024
    Review
  17. Article
  18. Article
  19. Review
  20. Review
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 5 institutions in 1 country.

Tyler D BrownJohn A. Paulson School of Engineering and Applied Sciences Harvard University, 29 Oxford St. Cambridge MA 02138.
Maksymilian NowakJohn A. Paulson School of Engineering and Applied Sciences Harvard University, 29 Oxford St. Cambridge MA 02138.
Alexandra V BaylesDept. of Chemical Engineering University of California Santa Barbara CA 93106.
Balabhaskar PrabhakarpandianBiomedical Technology CFD Research Corporation Huntsville AL 35805.
Pankaj KarandeDept. of Chemical and Biological Engineering Rensselaer Polytechnic Institute 110 8th Street, Troy NY 12180.
Joerg LahannDept. of Chemical Engineering University of Michigan Ann Arbor MI 48109.
Matthew E HelgesonDept. of Chemical Engineering University of California Santa Barbara CA 93106.
Samir MitragotriJohn A. Paulson School of Engineering and Applied Sciences Harvard University, 29 Oxford St. Cambridge MA 02138.
Inspire Institute · USUniversity of California, Santa Barbara · USBioSurfaces (United States) · USCFD Research Corporation (United States) · USRensselaer Polytechnic Institute · US

Funding

Spectral Laser Scanning Biological MicroscopeS10OD010610 · OD · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI RAVEN, MARY A · 2012 to 2012
$429k
NIH HHS S10 OD010610
6 · The paper itself

Abstract

Microfluidic cellular models, commonly referred to as "organs-on-chips," continue to advance the field of bioengineering via the development of accurate and higher throughput models, captivating the essence of living human organs. This class of models can mimic key in vivo features, including shear stresses and cellular architectures, in ways that cannot be realized by traditional two-dimensional in vitro models. Despite such progress, current organ-on-a-chip models are often overly complex, require highly specialized setups and equipment, and lack the ability to easily ascertain temporal and spatial differences in the transport kinetics of compounds translocating across cellular barriers. To address this challenge, we report the development of a three-dimensional human blood brain barrier (BBB) microfluidic model (μHuB) using human cerebral microvascular endothelial cells (hCMEC/D3) and primary human astrocytes within a commercially available microfluidic platform. Within μHuB, hCMEC/D3 monolayers withstood physiologically relevant shear stresses (2.73 dyn/cm

Indexed as

BBBbrain on a chipmicrofluidicorgan on chips

Identifiers

PMID31249876
PMCPMC6584314
OpenAlexW2904651621

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.