Literature DB >> 23474168

Quantitative measurement of the distribution and alignment of collagen fibers in unfixed aortic tissues.

Shukei Sugita1, Takeo Matsumoto.   

Abstract

Determination of the local amount and direction of collagen fibers during deformation is crucial for an understanding of the mechanical behavior of aortic tissues. Since most conventional methods cannot be used for this purpose, we propose a method to quantify the local amount and direction of fibers by simply measuring the optical properties of the specimen. After confirming the linear correlation between the retardance and thickness of sections of porcine thoracic aortas (PTAs) ranging from 15 to 300 μm, we investigated the effects of their structural components, i.e., smooth muscle cells (SMCs), elastin and collagen, on the retardance of whole tissues. Decellularization of SMCs did not change the retardance of PTA sections significantly. Patterns in autofluorescent and immunofluorescent images of elastin purified from bovine nuchal ligaments did not match those in retardance images. Images of collagen in PTA sections stained with picrosirius red were similar to corresponding retardance images. The slow axis azimuth corresponded to the circumferential direction of the aorta. Results indicate that collagen in aortas can be quantified by measuring the retardance and slow axis azimuth of whole aortic tissues. Application of this technique to PTAs showed that retardance was higher in dorsal and distal regions than ventral and proximal regions, respectively, indicating that the aortas contain more collagen in distal and dorsal regions than proximal and ventral regions, respectively. Both results were in accordance with previous findings. Measurement of retardance is useful to quantify the amount of collagen in unfixed aortas.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23474168     DOI: 10.1016/j.jbiomech.2013.02.003

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  7 in total

1.  Multi-wavelength quantitative polarization and phase microscope.

Authors:  Xiaobo Tian; Xingzhou Tu; Kimiko Della Croce; Guang Yao; Haijiang Cai; Neal Brock; Stanley Pau; Rongguang Liang
Journal:  Biomed Opt Express       Date:  2019-03-05       Impact factor: 3.732

2.  Structure and collagen crimp patterns of functionally distinct equine tendons, revealed by quantitative polarised light microscopy (qPLM).

Authors:  Ewa M Spiesz; Chavaunne T Thorpe; Philipp J Thurner; Hazel R C Screen
Journal:  Acta Biomater       Date:  2018-02-02       Impact factor: 8.947

3.  Photoelasticity-based evaluation of cellular contractile force for phenotypic discrimination of vascular smooth muscle cells.

Authors:  Shukei Sugita; Eri Mizutani; Masatoshi Hozaki; Masanori Nakamura; Takeo Matsumoto
Journal:  Sci Rep       Date:  2019-03-08       Impact factor: 4.379

4.  Three-dimensional analysis of the thoracic aorta microscopic deformation during intraluminal pressurization.

Authors:  Shukei Sugita; Masaya Kato; Fukui Wataru; Masanori Nakamura
Journal:  Biomech Model Mechanobiol       Date:  2019-07-11

Review 5.  Optical phantoms for biomedical polarimetry: a review.

Authors:  Joseph Chue-Sang; Mariacarla Gonzalez; Angie Pierre; Megan Laughrey; Ilyas Saytashev; Tatiana Novikova; Jessica C Ramella-Roman
Journal:  J Biomed Opt       Date:  2019-03       Impact factor: 3.170

6.  Direct visualization of interstitial flow distribution in aortic walls.

Authors:  Wataru Fukui; Yoshihiro Ujihara; Masanori Nakamura; Shukei Sugita
Journal:  Sci Rep       Date:  2022-03-30       Impact factor: 4.379

7.  Novel biaxial tensile test for studying aortic failure phenomena at a microscopic level.

Authors:  Shukei Sugita; Takeo Matsumoto
Journal:  Biomed Eng Online       Date:  2013-01-11       Impact factor: 2.819

  7 in total

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