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Noninvasive Metabolic Imaging of Engineered 3D Human Adipose Tissue in a Perfusion Bioreactor

Overview of attention for article published in PLOS ONE, February 2013
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Title
Noninvasive Metabolic Imaging of Engineered 3D Human Adipose Tissue in a Perfusion Bioreactor
Published in
PLOS ONE, February 2013
DOI 10.1371/journal.pone.0055696
Pubmed ID
Authors

Andrew Ward, Kyle P. Quinn, Evangelia Bellas, Irene Georgakoudi, David L. Kaplan

Abstract

The efficacy and economy of most in vitro human models used in research is limited by the lack of a physiologically-relevant three-dimensional perfused environment and the inability to noninvasively quantify the structural and biochemical characteristics of the tissue. The goal of this project was to develop a perfusion bioreactor system compatible with two-photon imaging to noninvasively assess tissue engineered human adipose tissue structure and function in vitro. Three-dimensional (3D) vascularized human adipose tissues were engineered in vitro, before being introduced to a perfusion environment and tracked over time by automated quantification of endogenous markers of metabolism using two-photon excited fluorescence (TPEF). Depth-resolved image stacks were analyzed for redox ratio metabolic profiling and compared to prior analyses performed on 3D engineered adipose tissue in static culture. Traditional assessments with H&E staining were used to qualitatively measure extracellular matrix generation and cell density with respect to location within the tissue. The distribution of cells within the tissue and average cellular redox ratios were different between static and perfusion cultures, while the trends of decreased redox ratio and increased cellular proliferation with time in both static and perfusion cultures were similar. These results establish a basis for noninvasive optical tracking of tissue structure and function in vitro, which can be applied to future studies to assess tissue development or drug toxicity screening and disease progression.

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The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Germany 1 2%
Belgium 1 2%
Unknown 58 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 27%
Researcher 9 15%
Student > Master 9 15%
Student > Doctoral Student 8 13%
Student > Bachelor 5 8%
Other 7 11%
Unknown 7 11%
Readers by discipline Count As %
Engineering 17 27%
Agricultural and Biological Sciences 11 18%
Medicine and Dentistry 6 10%
Biochemistry, Genetics and Molecular Biology 5 8%
Materials Science 3 5%
Other 7 11%
Unknown 13 21%