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Permeability across a novel microfluidic blood-tumor barrier model

Overview of attention for article published in Fluids and Barriers of the CNS, January 2017
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Permeability across a novel microfluidic blood-tumor barrier model
Published in
Fluids and Barriers of the CNS, January 2017
DOI 10.1186/s12987-017-0050-9
Pubmed ID
Authors

Tori B. Terrell-Hall, Amanda G. Ammer, Jessica I. G. Griffith, Paul R. Lockman

Abstract

The lack of translatable in vitro blood-tumor barrier (BTB) models creates challenges in the development of drugs to treat tumors of the CNS and our understanding of how the vascular changes at the BBB in the presence of a tumor. In this study, we characterize a novel microfluidic model of the BTB (and BBB model as a reference) that incorporates flow and induces shear stress on endothelial cells. Cell lines utilized include human umbilical vein endothelial cells co-cultured with CTX-TNA2 rat astrocytes (BBB) or Met-1 metastatic murine breast cancer cells (BTB). Cells were capable of communicating across microfluidic compartments via a porous interface. We characterized the device by comparing permeability of three passive permeability markers and one marker subject to efflux. The permeability of Sulforhodamine 101 was significantly (p < 0.05) higher in the BTB model (13.1 ± 1.3 × 10(-3), n = 4) than the BBB model (2.5 ± 0.3 × 10(-3), n = 6). Similar permeability increases were observed in the BTB model for molecules ranging from 600 Da to 60 kDa. The function of P-gp was intact in both models and consistent with recent published in vivo data. Specifically, the rate of permeability of Rhodamine 123 across the BBB model (0.6 ± 0.1 × 10(-3), n = 4), increased 14-fold in the presence of the P-gp inhibitor verapamil (14.7 ± 7.5 × 10(-3), n = 3) and eightfold with the addition of Cyclosporine A (8.8 ± 1.8 × 10(-3), n = 3). Similar values were noted in the BTB model. The dynamic microfluidic in vitro BTB model is a novel commercially available model that incorporates shear stress, and has permeability and efflux properties that are similar to in vivo data.

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The data shown below were collected from the profiles of 4 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 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 132 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 29%
Student > Master 16 12%
Researcher 12 9%
Student > Bachelor 9 7%
Student > Postgraduate 8 6%
Other 19 14%
Unknown 31 23%
Readers by discipline Count As %
Engineering 28 21%
Biochemistry, Genetics and Molecular Biology 18 14%
Agricultural and Biological Sciences 11 8%
Neuroscience 8 6%
Medicine and Dentistry 7 5%
Other 24 18%
Unknown 37 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 June 2018.
All research outputs
#13,022,980
of 22,952,268 outputs
Outputs from Fluids and Barriers of the CNS
#161
of 365 outputs
Outputs of similar age
#199,534
of 419,056 outputs
Outputs of similar age from Fluids and Barriers of the CNS
#3
of 5 outputs
Altmetric has tracked 22,952,268 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 365 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 54% 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 419,056 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.