Literature DB >> 16307426

Fourier Transform Infrared Imaging of focal lesions in human osteoarthritic cartilage.

E David-Vaudey1, A Burghardt, K Keshari, A Brouchet, M Ries, S Majumdar.   

Abstract

Fourier Transform Infrared Imaging (FTIRI) is a new method for quantitatively assessing the spatial-chemical composition of complex materials. This technique has been applied to examine the feasibility of measuring changes in the composition and distribution of collagen and proteoglycan macromolecules in human osteoarthritic cartilage. Human cartilage was acquired post-operatively from total joint replacement patients. Samples were taken at the site of a focal lesion, adjacent to the lesion, and from relatively healthy cartilage away from the lesion. Sections were prepared for FTIRI and histochemical grading. FTIRI spectral images were acquired for the superficial, intermediate, and deep layers for each sample. Euclidean distance mapping and quantitative partial least squares analysis (PLS) were performed using reference spectra for type-II collagen and chondroitin 6-sulphate (CS6). FTIRI results were correlated to the histology-based Mankin scoring system. PLS analysis found relatively low relative concentrations of collagen (38 +/- 10%) and proteoglycan (22 +/- 9%) in osteoarthritic cartilage. Focal lesions were generally found to contain less CS6 compared to cartilage tissue adjacent to the lesion. Loss of proteoglycan content was well correlated to histological Mankin scores (r=0.69, p<0.0008). The evaluation of biological tissues with FTIRI can provide unique quantitative information on how disease can affect biochemical distribution and composition. This study has demonstrated that FTIRI is useful in quantitatively assessing pathology-related changes in the composition and distribution of primary macromolecular components of human osteoarthritic cartilage.

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Year:  2005        PMID: 16307426     DOI: 10.22203/ecm.v010a06

Source DB:  PubMed          Journal:  Eur Cell Mater        ISSN: 1473-2262            Impact factor:   3.942


  24 in total

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Journal:  Spectrochim Acta A Mol Biomol Spectrosc       Date:  2014-06-11       Impact factor: 4.098

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