Noninvasive Measurement of Ear Cartilage Elasticity on the Cellular Level: A New Method to Provide Biomechanical Information for Tissue Engineering

Ernst Jan Bos, Koen Van Der Laan, Marco N. Helder, Margriet G. Mullender, Davide Iannuzzi, Paul P. Van Zuijlen

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Background: An important feature of auricular cartilage is its stiffness. To tissue engineer new cartilage, we need objective tools to provide us with the essential biomechanical information to mimic optimal conditions for chondrogenesis and extracellular matrix (ECM) development. In this study, we used an optomechanical sensor to investigate the elasticity of auricular cartilage ECM and tested whether sensitivity and measurement reproducibility of the sensor would be sufficient to accurately detect (subtle) differences in matrix compositions in healthy, diseased, or regenerated cartilage. Methods: As a surrogate model to different cartilage ECM compositions, goat ears (n = 9) were subjected to different degradation processes to remove the matrix components elastin and glycosaminoglycans. Individual ear samples were cut and divided into 3 groups. Group 1 served as control and was measured within 2 hours after animal death and at 24 and 48 hours, and groups 2 and 3 were measured after 24- A nd 48-h hyaluronidase or elastase digestion. Per sample, 9 consecutive measurements were taken ±300 μm apart. Results: Good reproducibility was seen between consecutive measurements with an overall interclass correlation coefficient average of 0.9 (0.81-0.98). Although degradation led to variable results, overall, a significant difference was seen between treatment groups after 48 hours (control, 4.2 MPa [±0.5] vs hyaluronidase, 2.0 MPa [±0.3], and elastase, 3.0 MPa [±0.4]; both P < 0.001). Conclusions: The optomechanical sensor system we used provided a fast and reliable method to perform measurements of cartilage ECM in a reverse tissue-engineering model. In future applications, this method seems feasible for the monitoring of changes in stiffness during the development of tissue-engineered auricular cartilage.

Original languageEnglish
Article numbere1147
JournalPlastic and Reconstructive Surgery - Global Open
Volume5
Issue number2
DOIs
Publication statusPublished - 1 Feb 2017

Cite this

@article{eb51d379b315458bb949f3fad3abe883,
title = "Noninvasive Measurement of Ear Cartilage Elasticity on the Cellular Level: A New Method to Provide Biomechanical Information for Tissue Engineering",
abstract = "Background: An important feature of auricular cartilage is its stiffness. To tissue engineer new cartilage, we need objective tools to provide us with the essential biomechanical information to mimic optimal conditions for chondrogenesis and extracellular matrix (ECM) development. In this study, we used an optomechanical sensor to investigate the elasticity of auricular cartilage ECM and tested whether sensitivity and measurement reproducibility of the sensor would be sufficient to accurately detect (subtle) differences in matrix compositions in healthy, diseased, or regenerated cartilage. Methods: As a surrogate model to different cartilage ECM compositions, goat ears (n = 9) were subjected to different degradation processes to remove the matrix components elastin and glycosaminoglycans. Individual ear samples were cut and divided into 3 groups. Group 1 served as control and was measured within 2 hours after animal death and at 24 and 48 hours, and groups 2 and 3 were measured after 24- A nd 48-h hyaluronidase or elastase digestion. Per sample, 9 consecutive measurements were taken ±300 μm apart. Results: Good reproducibility was seen between consecutive measurements with an overall interclass correlation coefficient average of 0.9 (0.81-0.98). Although degradation led to variable results, overall, a significant difference was seen between treatment groups after 48 hours (control, 4.2 MPa [±0.5] vs hyaluronidase, 2.0 MPa [±0.3], and elastase, 3.0 MPa [±0.4]; both P < 0.001). Conclusions: The optomechanical sensor system we used provided a fast and reliable method to perform measurements of cartilage ECM in a reverse tissue-engineering model. In future applications, this method seems feasible for the monitoring of changes in stiffness during the development of tissue-engineered auricular cartilage.",
author = "Bos, {Ernst Jan} and {Van Der Laan}, Koen and Helder, {Marco N.} and Mullender, {Margriet G.} and Davide Iannuzzi and {Van Zuijlen}, {Paul P.}",
year = "2017",
month = "2",
day = "1",
doi = "10.1097/GOX.0000000000001147",
language = "English",
volume = "5",
journal = "Plastic and reconstructive surgery.Global open",
issn = "2169-7574",
publisher = "Lippincott Williams and Wilkins Ltd.",
number = "2",

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Noninvasive Measurement of Ear Cartilage Elasticity on the Cellular Level : A New Method to Provide Biomechanical Information for Tissue Engineering. / Bos, Ernst Jan; Van Der Laan, Koen; Helder, Marco N.; Mullender, Margriet G.; Iannuzzi, Davide; Van Zuijlen, Paul P.

In: Plastic and Reconstructive Surgery - Global Open, Vol. 5, No. 2, e1147, 01.02.2017.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Noninvasive Measurement of Ear Cartilage Elasticity on the Cellular Level

T2 - A New Method to Provide Biomechanical Information for Tissue Engineering

AU - Bos, Ernst Jan

AU - Van Der Laan, Koen

AU - Helder, Marco N.

AU - Mullender, Margriet G.

AU - Iannuzzi, Davide

AU - Van Zuijlen, Paul P.

PY - 2017/2/1

Y1 - 2017/2/1

N2 - Background: An important feature of auricular cartilage is its stiffness. To tissue engineer new cartilage, we need objective tools to provide us with the essential biomechanical information to mimic optimal conditions for chondrogenesis and extracellular matrix (ECM) development. In this study, we used an optomechanical sensor to investigate the elasticity of auricular cartilage ECM and tested whether sensitivity and measurement reproducibility of the sensor would be sufficient to accurately detect (subtle) differences in matrix compositions in healthy, diseased, or regenerated cartilage. Methods: As a surrogate model to different cartilage ECM compositions, goat ears (n = 9) were subjected to different degradation processes to remove the matrix components elastin and glycosaminoglycans. Individual ear samples were cut and divided into 3 groups. Group 1 served as control and was measured within 2 hours after animal death and at 24 and 48 hours, and groups 2 and 3 were measured after 24- A nd 48-h hyaluronidase or elastase digestion. Per sample, 9 consecutive measurements were taken ±300 μm apart. Results: Good reproducibility was seen between consecutive measurements with an overall interclass correlation coefficient average of 0.9 (0.81-0.98). Although degradation led to variable results, overall, a significant difference was seen between treatment groups after 48 hours (control, 4.2 MPa [±0.5] vs hyaluronidase, 2.0 MPa [±0.3], and elastase, 3.0 MPa [±0.4]; both P < 0.001). Conclusions: The optomechanical sensor system we used provided a fast and reliable method to perform measurements of cartilage ECM in a reverse tissue-engineering model. In future applications, this method seems feasible for the monitoring of changes in stiffness during the development of tissue-engineered auricular cartilage.

AB - Background: An important feature of auricular cartilage is its stiffness. To tissue engineer new cartilage, we need objective tools to provide us with the essential biomechanical information to mimic optimal conditions for chondrogenesis and extracellular matrix (ECM) development. In this study, we used an optomechanical sensor to investigate the elasticity of auricular cartilage ECM and tested whether sensitivity and measurement reproducibility of the sensor would be sufficient to accurately detect (subtle) differences in matrix compositions in healthy, diseased, or regenerated cartilage. Methods: As a surrogate model to different cartilage ECM compositions, goat ears (n = 9) were subjected to different degradation processes to remove the matrix components elastin and glycosaminoglycans. Individual ear samples were cut and divided into 3 groups. Group 1 served as control and was measured within 2 hours after animal death and at 24 and 48 hours, and groups 2 and 3 were measured after 24- A nd 48-h hyaluronidase or elastase digestion. Per sample, 9 consecutive measurements were taken ±300 μm apart. Results: Good reproducibility was seen between consecutive measurements with an overall interclass correlation coefficient average of 0.9 (0.81-0.98). Although degradation led to variable results, overall, a significant difference was seen between treatment groups after 48 hours (control, 4.2 MPa [±0.5] vs hyaluronidase, 2.0 MPa [±0.3], and elastase, 3.0 MPa [±0.4]; both P < 0.001). Conclusions: The optomechanical sensor system we used provided a fast and reliable method to perform measurements of cartilage ECM in a reverse tissue-engineering model. In future applications, this method seems feasible for the monitoring of changes in stiffness during the development of tissue-engineered auricular cartilage.

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