Infrared microspectroscopic determination of collagen cross-links in articular cartilage
Rieppo, L., Kokkonen, H. T., Kulmala, K. A. M., Kovanen, V., Lammi, M. J., Töyräs, J., & Saarakkala, S. (2017). Infrared microspectroscopic determination of collagen cross-links in articular cartilage. Journal of Biomedical Optics, 22(3), Article 035007. https://doi.org/10.1117/1.JBO.22.3.035007
Published inJournal of Biomedical Optics
© The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.
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. ...
PublisherSPIE - International Society for Optical Engineering
Publication in research information system
MetadataShow full item record
- Liikuntatieteiden tiedekunta 
Except where otherwise noted, this item's license is described as © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.
Showing items with similar title or keywords.
Ollila, Esa (University of Jyväskylä, 2002)
Hui, Francis K. C.; Warton, David I.; Ormerod, John T.; Haapaniemi, Viivi; Taskinen, Sara (American Statistical Association, 2017)Generalized linear latent variable models (GLLVMs) are a powerful class of models for understanding the relationships among multiple, correlated responses. Estimation, however, presents a major challenge, as the marginal ...
High-quality superconducting titanium nitride thin film growth using infra-red pulsed laser deposition Torgovkin, Andrii; Chaudhuri, Saumyadip; Ruhtinas, Aki; Lahtinen, Manu; Sajavaara, Timo; Maasilta, Ilari (IOP Publishing, 2018)Superconducting titanium nitride (TiN) thin films were deposited on magnesium oxide, sapphire and silicon nitride substrates at 700 °C, using a pulsed laser deposition (PLD) technique, where infrared (1064 nm) pulses from ...
gllvm : Fast analysis of multivariate abundance data with generalized linear latent variable models in R Niku, Jenni; Hui, Francis K.C.; Taskinen, Sara; Warton, David I. (Wiley, 2019)1.There has been rapid development in tools for multivariate analysis based on fully specified statistical models or “joint models”. One approach attracting a lot of attention is generalized linear latent variable models ...
Analyzing environmental‐trait interactions in ecological communities with fourth‐corner latent variable models Niku, Jenni; Hui, Francis K. C.; Taskinen, Sara; Warton, David I. (John Wiley & Sons, 2021)In ecological community studies it is often of interest to study the effect of species related trait variables on abundances or presence-absences. Specifically, the interest may lay in the interactions between environmental ...