Evidence map›Paper›PMID 29305767›Full record

ArticleBiomedical microdevices2018

Finite element modeling to analyze TEER values across silicon nanomembranes.

Tejas S Khire, Barrett J Nehilla, Jirachai Getpreecharsawas, Maria E Gracheva, Richard E Waugh, James L McGrath

Abstract read
In one paragraph

Article in Biomedical microdevices, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

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  13. Frontiers in medical technology · 2020
    Review
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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

6 authors.

Tejas S KhireBiomedical Engineering, University of Rochester, Goergen Hall, Rochester, NY, 14627, USA.
Barrett J NehillaBiomedical Engineering, University of Rochester, Goergen Hall, Rochester, NY, 14627, USA.
Jirachai GetpreecharsawasBiomedical Engineering, University of Rochester, Goergen Hall, Rochester, NY, 14627, USA.
Maria E GrachevaDepartment of Physics, Clarkson University, 277 Science Center, Potsdam, NY, 13699, USA.
Richard E WaughBiomedical Engineering, University of Rochester, Goergen Hall, Rochester, NY, 14627, USA.
James L McGrathBiomedical Engineering, University of Rochester, Goergen Hall, Rochester, NY, 14627, USA. jmcgrath@bme.rochester.edu.ORCID 0000-0003-2017-8335

Funding

Neutrophil-endothelial interactions and barrier function in sepsisR01HL125265 · NHLBI · UNIVERSITY OF ROCHESTER · PI KIM, MINSOO, REICHNER, JONATHAN S · 2014 to 2018
$3.9M
NHLBI NIH HHS R01 HL125265NIH HHS 5R01HL125265
6 · The paper itself

Abstract

Silicon nanomembranes are ultrathin, highly permeable, optically transparent and biocompatible substrates for the construction of barrier tissue models. Trans-epithelial/endothelial electrical resistance (TEER) is often used as a non-invasive, sensitive and quantitative technique to assess barrier function. The current study characterizes the electrical behavior of devices featuring silicon nanomembranes to facilitate their application in TEER studies. In conventional practice with commercial systems, raw resistance values are multiplied by the area of the membrane supporting cell growth to normalize TEER measurements. We demonstrate that under most circumstances, this multiplication does not 'normalize' TEER values as is assumed, and that the assumption is worse if applied to nanomembrane chips with a limited active area. To compare the TEER values from nanomembrane devices to those obtained from conventional polymer track-etched (TE) membranes, we develop finite element models (FEM) of the electrical behavior of the two membrane systems. Using FEM and parallel cell-culture experiments on both types of membranes, we successfully model the evolution of resistance values during the growth of endothelial monolayers. Further, by exploring the relationship between the models we develop a 'correction' function, which when applied to nanomembrane TEER, maps to experiments on conventional TE membranes. In summary, our work advances the the utility of silicon nanomembranes as substrates for barrier tissue models by developing an interpretation of TEER values compatible with conventional systems.

Indexed as

Electric ImpedanceFinite Element AnalysisMembranes, ArtificialAnimalsBlood-Brain BarrierBrainCells, CulturedElectrodesEndothelium, VascularEpithelial CellsMiceModels, TheoreticalNanostructuresPermeabilityReproducibility of ResultsSiliconMembranes, ArtificialSiliconCoculture systemsFinite element analysisMicrofluidicsSilicon nanomembranesTrans endothelial electrical resistance (TEER)

Identifiers

PMID29305767
PMCPMC5770343

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Registered trials

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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.