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A linked organ-on-chip model of the human neurovascular unit reveals the metabolic coupling of endothelial and neuronal cells

Overview of attention for article published in Nature Biotechnology, October 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
15 news outlets
blogs
2 blogs
twitter
238 X users
facebook
6 Facebook pages
video
1 YouTube creator

Citations

dimensions_citation
311 Dimensions

Readers on

mendeley
653 Mendeley
citeulike
1 CiteULike
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Title
A linked organ-on-chip model of the human neurovascular unit reveals the metabolic coupling of endothelial and neuronal cells
Published in
Nature Biotechnology, October 2018
DOI 10.1038/nbt.4226
Pubmed ID
Authors

Ben M Maoz, Anna Herland, Edward A FitzGerald, Thomas Grevesse, Charles Vidoudez, Alan R Pacheco, Sean P Sheehy, Tae-Eun Park, Stephanie Dauth, Robert Mannix, Nikita Budnik, Kevin Shores, Alexander Cho, Janna C Nawroth, Daniel Segrè, Bogdan Budnik, Donald E Ingber, Kevin Kit Parker

Abstract

The neurovascular unit (NVU) regulates metabolic homeostasis as well as drug pharmacokinetics and pharmacodynamics in the central nervous system. Metabolic fluxes and conversions over the NVU rely on interactions between brain microvascular endothelium, perivascular pericytes, astrocytes and neurons, making it difficult to identify the contributions of each cell type. Here we model the human NVU using microfluidic organ chips, allowing analysis of the roles of individual cell types in NVU functions. Three coupled chips model influx across the blood-brain barrier (BBB), the brain parenchymal compartment and efflux across the BBB. We used this linked system to mimic the effect of intravascular administration of the psychoactive drug methamphetamine and to identify previously unknown metabolic coupling between the BBB and neurons. Thus, the NVU system offers an in vitro approach for probing transport, efficacy, mechanism of action and toxicity of neuroactive drugs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 238 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 653 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 653 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 158 24%
Researcher 85 13%
Student > Master 73 11%
Student > Bachelor 62 9%
Student > Doctoral Student 38 6%
Other 83 13%
Unknown 154 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 112 17%
Engineering 108 17%
Agricultural and Biological Sciences 63 10%
Neuroscience 58 9%
Medicine and Dentistry 30 5%
Other 90 14%
Unknown 192 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 253. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 July 2019.
All research outputs
#147,367
of 25,559,053 outputs
Outputs from Nature Biotechnology
#287
of 8,589 outputs
Outputs of similar age
#2,889
of 355,169 outputs
Outputs of similar age from Nature Biotechnology
#10
of 100 outputs
Altmetric has tracked 25,559,053 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,589 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.4. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 355,169 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.