Computed tomography detects changes in contrast agent diffusion after collagen cross-linking typical to natural aging of articular cartilage

Kokkonen, Harri; Mäkelä, Janne; Kulmala, K.A.M.; Rieppo, Lassi; Jurvelin, Jukka S.; Tiitu, Virpi; Karjalainen, Hannu M.; Korhonen, Rami K.; Kovanen, Vuokko; Töyräs, Juha

doi:10.1016/j.joca.2011.07.008

Cited by 47 publications

(66 citation statements)

References 52 publications

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“…Another limitation is the lack of the 100 h control group for 100 h threose treatment. In our earlier study with similar samples and treatments for six days, 6 the properties in the control samples were nearly similar to our 40 h control group. Only the HP concentrations were higher, and we find the comparison of the 100 h threose treated samples with the 40 h control samples feasible.…”

Section: Discussionsupporting

confidence: 82%

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Nondestructive fluorescence-based quantification of threose-induced collagen cross-linking in bovine articular cartilage

et al. 2012

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Abstract. Extensive collagen cross-linking affects the mechanical competence of articular cartilage: it can make the cartilage stiffer and more brittle. The concentrations of the best known cross-links, pyridinoline and pentosidine, can be accurately determined by destructive high-performance liquid chromatography (HPLC). We explore a nondestructive evaluation of cross-linking by using the intrinsic fluorescence of the intact cartilage. Articular cartilage samples from bovine knee joints were incubated in threose solution for 40 and 100 h to increase the collagen crosslinking. Control samples without threose were also prepared. Excitation-emission matrices at wavelengths of 220 to 950 nm were acquired from the samples, and the pentosidine and pyridinoline cross-links and the collagen concentrations were determined using HPLC. After the threose treatment, pentosidine and lysyl pyridinole (LP) concentrations increased. The intrinsic fluorescence, excited below 350 nm, decreased and was related to pentosidine [r ¼ −0.90, 240∕325 nm (excitation/emission)] or LP (r ¼ −0.85, 235∕285 nm) concentrations. Due to overlapping, the changes in emission could not be linked specifically to the recorded cross-links. However, the fluorescence signal enabled a nondestructive optical estimate of changes in the pentosidine and LP cross-linking of intact articular cartilage.

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Section: Discussionsupporting

confidence: 82%

“…This can increase the mechanical stiffness of the cartilage. [4][5][6] Potentially, age-related changes in the collagen network, especially in the cross-links, can make the cartilage more brittle. This may further contribute to an increased vulnerability of the cartilage to injury in old age.…”

Section: Introductionmentioning

confidence: 99%

Nondestructive fluorescence-based quantification of threose-induced collagen cross-linking in bovine articular cartilage

et al. 2012

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“…16,17 Intact bovine patellae (n ¼ 14) were obtained from a local abattoir (Atria Oyj, Kuopio, Finland). Ethical approval was not required, as the animals were not slaughtered for the purposes of this study.…”

Section: Sample Preparationmentioning

confidence: 99%

“…16,17,26 Briefly, the amount of the collagen specific amino acid, hydroxyproline, was measured spectrophotometrically to estimate the total amount of collagen. 27 HPLC was used to separate hydroxylysyl pyridinoline (HP), lysyl pyridinoline (LP), and pentosidine (Pent).…”

Section: Biochemical Analysismentioning

confidence: 99%

Infrared microspectroscopic determination of collagen cross-links in articular cartilage

et al. 2017

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, "Infrared microspectroscopic determination of collagen cross-links in articular cartilage," J. Biomed. Opt. 22(3), 035007 (2017), doi: 10.1117/1.JBO.22.3.035007. Abstract. Collagen forms an organized network in articular cartilage to give tensile stiffness to the tissue. Due to its long half-life, collagen is susceptible to cross-links caused by advanced glycation end-products. The current standard method for determination of cross-link concentrations in tissues is the destructive high-performance liquid chromatography (HPLC). The aim of this study was to analyze the cross-link concentrations nondestructively from standard unstained histological articular cartilage sections by using Fourier transform infrared (FTIR) microspectroscopy. Half of the bovine articular cartilage samples (n ¼ 27) were treated with threose to increase the collagen cross-linking while the other half (n ¼ 27) served as a control group. Partial least squares (PLS) regression with variable selection algorithms was used to predict the cross-link concentrations from the measured average FTIR spectra of the samples, and HPLC was used as the reference method for cross-link concentrations. The correlation coefficients between the PLS regression models and the biochemical reference values were r ¼ 0.84 (p < 0.001), r ¼ 0.87 (p < 0.001) and r ¼ 0.92 (p < 0.001) for hydroxylysyl pyridinoline (HP), lysyl pyridinoline (LP), and pentosidine (Pent) cross-links, respectively. The study demonstrated that FTIR microspectroscopy is a feasible method for investigating cross-link concentrations in articular cartilage.

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“…Molecular transport (diffusion) plays a key role in monitoring OA progression, delivery of therapeutics and nutrients as well as in the exchange of signaling molecules between cartilage and its surrounding tissues of subchondral bone and synovial fluid (Jackson and Gu, 2009;Pan et al, 2012;Pan et al, 2009). Previous studies used analytical solutions, mathematical fits, and computational models to derive the diffusion coefficients of solutes in cartilage (Arbabi et al, 2015b;Ateshian et al, 2011;Ateshian et al, 2012;Huttunen et al, 2014;Kokkonen et al, 2011a;Kokkonen et al, 2011b). The available analytical solutions can only be applied to problems where either simple geometries are used or simplified assumptions are made (Crank, 1979).…”

Section: Introductionmentioning

confidence: 99%

Combined inverse-forward artificial neural networks for fast and accurate estimation of the diffusion coefficients of cartilage based on multi-physics models

Arbabi

Pouran

Zadpoor

2016

Journal of Biomechanics

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Combined inverse-forward artificial neural networks for fast and accurate estimation of the diffusion coefficients of cartilage based on multiphysics models, Journal of Biomechanics, http://dx.doi.org/10. 1016/j.jbiomech.2016.06.019 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. computationally inexperienced users to obtain accurate and fast estimation of the diffusion coefficients of cartilage zones. The diffusion coefficients estimated using the proposed approach are compared with those determined using direct scanning of the parameter space as the optimization approach. It has been shown that both approaches yield comparable results.

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Computed tomography detects changes in contrast agent diffusion after collagen cross-linking typical to natural aging of articular cartilage

Abstract: To conclude, the CECT technique was found to be sensitive at detecting changes in cartilage tissue due to increased collagen cross-linking. This is important since increased cross-linking has been proposed to be related to the increased injury susceptibility of tissue.

Cited by 47 publications

References 52 publications

Nondestructive fluorescence-based quantification of threose-induced collagen cross-linking in bovine articular cartilage

Nondestructive fluorescence-based quantification of threose-induced collagen cross-linking in bovine articular cartilage

Infrared microspectroscopic determination of collagen cross-links in articular cartilage

Combined inverse-forward artificial neural networks for fast and accurate estimation of the diffusion coefficients of cartilage based on multi-physics models

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