Infrared microspectroscopic determination of collagen cross-links in articular cartilage.
2017 (English)In: Journal of Biomedical Optics, ISSN 1083-3668, E-ISSN 1560-2281, Vol. 22, no 3, 035007- p., 35007Article in journal (Refereed) Published
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=27" role="presentation">n=27) were treated with threose to increase the collagen cross-linking while the other half (n=27" role="presentation">n=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=0.84" role="presentation">r=0.84 (p<0.001" role="presentation">p<0.001), r=0.87" role="presentation">r=0.87 (p<0.001" role="presentation">p<0.001) and r=0.92" role="presentation">r=0.92 (p<0.001" role="presentation">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.
Place, publisher, year, edition, pages
2017. Vol. 22, no 3, 035007- p., 35007
Fourier-transform infrared spectorscopy; articular cartilage; collagen; cross-links
Biomedical Laboratory Science/Technology Orthopedics Medical Image Processing
Research subject Computerized Image Analysis; Orthopaedics
IdentifiersURN: urn:nbn:se:umu:diva-132612DOI: 10.1117/1.JBO.22.3.035007PubMedID: 28290599OAI: oai:DiVA.org:umu-132612DiVA: diva2:1082870