↓ Skip to main content

Development of a Platform for Studying 3D Astrocyte Mechanobiology: Compression of Astrocytes in Collagen Gels

Overview of attention for article published in Annals of Biomedical Engineering, November 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
35 Mendeley
Title
Development of a Platform for Studying 3D Astrocyte Mechanobiology: Compression of Astrocytes in Collagen Gels
Published in
Annals of Biomedical Engineering, November 2017
DOI 10.1007/s10439-017-1967-5
Pubmed ID
Authors

John J. E. Mulvihill, Julia Raykin, Eric J. Snider, Lisa A. Schildmeyer, Irsham Zaman, Manu O. Platt, Daniel J. Kelly, C. Ross Ethier

Abstract

Glaucoma is a common optic neuropathy characterized by retinal ganglion cell death. Elevated intraocular pressure (IOP), a key risk factor for glaucoma, leads to significant biomechanical deformation of optic nerve head (ONH) cells and tissues. ONH astrocytes respond to this deformation by transforming to a reactive, proliferative phenotype, which has been implicated in the progression of glaucomatous vision loss. However, little is known about the mechanisms of this transformation. In this study, we developed a 3D collagen gel culture system to mimic features of ONH deformation due to elevated IOP. Compressive loading of astrocyte-seeded collagen gels led to cell alignment perpendicular to the direction of strain, and increased astrocyte activation, as assayed by GFAP, vimentin, and s100β levels, as well as MMP activity. This proof-of-concept study shows that this system has potential for studying mechanisms of astrocyte mechanobiology as related to the pathogenesis of glaucoma. Further work is needed to establish the possible interplay of mechanical stimulation, matrix properties, and hypoxia on the observed response of astrocytes.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 17%
Researcher 5 14%
Student > Bachelor 4 11%
Professor > Associate Professor 3 9%
Professor 3 9%
Other 5 14%
Unknown 9 26%
Readers by discipline Count As %
Engineering 7 20%
Neuroscience 4 11%
Agricultural and Biological Sciences 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Medicine and Dentistry 2 6%
Other 5 14%
Unknown 12 34%