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Extracellular Matrix Expression and Production in Fibroblast-Collagen Gels: Towards an In Vitro Model for Ligament Wound Healing

Overview of attention for article published in Annals of Biomedical Engineering, June 2018
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Title
Extracellular Matrix Expression and Production in Fibroblast-Collagen Gels: Towards an In Vitro Model for Ligament Wound Healing
Published in
Annals of Biomedical Engineering, June 2018
DOI 10.1007/s10439-018-2064-0
Pubmed ID
Authors

Stephanie M. Frahs, Julia Thom Oxford, Erica E. Neumann, Raquel J. Brown, Cynthia R. Keller-Peck, Xinzhu Pu, Trevor J. Lujan

Abstract

Ligament wound healing involves the proliferation of a dense and disorganized fibrous matrix that slowly remodels into scar tissue at the injury site. This remodeling process does not fully restore the highly aligned collagen network that exists in native tissue, and consequently repaired ligament has decreased strength and durability. In order to identify treatments that stimulate collagen alignment and strengthen ligament repair, there is a need to develop in vitro models to study fibroblast activation during ligament wound healing. The objective of this study was to measure gene expression and matrix protein accumulation in fibroblast-collagen gels that were subjected to different static stress conditions (stress-free, biaxial stress, and uniaxial stress) for three time points (1, 2 or 3 weeks). By comparing our in vitro results to prior in vivo studies, we found that stress-free gels had time-dependent changes in gene expression (col3a1, TnC) corresponding to early scar formation, and biaxial stress gels had protein levels (collagen type III, decorin) corresponding to early scar formation. This is the first study to conduct a targeted evaluation of ligament healing biomarkers in fibroblast-collagen gels, and the results suggest that biomimetic in-vitro models of early scar formation should be initially cultured under biaxial stress conditions.

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Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Student > Master 7 19%
Student > Bachelor 5 14%
Researcher 4 11%
Student > Postgraduate 2 5%
Other 5 14%
Unknown 7 19%
Readers by discipline Count As %
Engineering 6 16%
Biochemistry, Genetics and Molecular Biology 4 11%
Agricultural and Biological Sciences 4 11%
Nursing and Health Professions 3 8%
Medicine and Dentistry 3 8%
Other 6 16%
Unknown 11 30%