Optical properties of articular cartilage in the near-Infrared spectral range are related to its proteoglycan content

Articular cartilage is a connective tissue that enables smooth movements between bones in articulating joints. Cartilage consists of extracellular matrix (ECM) and chondrocytes – the cells responsible for synthesis of the ECM. The ECM consists of type II collagen, proteoglycans, water, and some other minor components. Cartilage is prone to degenerative joint conditions, such as osteoarthritis, due to its weak repair capacity resulting from a lack of vascular, neural, and lymphatic networks. Osteoarthritis causes erosion of the cartilage matrix and therefore inhibits its function, resulting in joint pain, loss of mobility, and significant global socioeconomic burden. Currently, surgical treatment of cartilage pathologies is carried out during arthroscopy with variable outcomes. This variability occurs due to the subjective nature of arthroscopy, which relies on manual palpation and visual evaluation of the tissue surface. Diffuse optical spectroscopy in the near-infrared spectral region probes tissue structure and composition via a relationship with its optical properties (the absorption and reduced scattering coefficients). Due to its avascular nature, healthy cartilage is translucent. It thus has low absorption in the near-infrared region, providing the necessary conditions for light to traverse deep into the tissue. This research reports, for the first time, cartilage absorption and reduced scattering coefficients in the near-infrared spectral range and assess their capacity for characterizing the depth-wise profile of cartilage proteoglycan content. The results revealed that cartilage optical properties are strong predictors of its proteoglycan content. The best performance was observed with the prediction of the proteoglycan content by the absorption coefficient.

[1]  C. Juhl,et al.  Arthroscopic surgery for degenerative knee: systematic review and meta-analysis of benefits and harms , 2015, BMJ : British Medical Journal.

[2]  Adekunle Oloyede,et al.  Spatial mapping of proteoglycan content in articular cartilage using near-infrared (NIR) spectroscopy. , 2015, Biomedical optics express.

[3]  Magnus B. Lilledahl,et al.  Optical investigation of osteoarthritic human cartilage (ICRS grade) by confocal Raman spectroscopy: a pilot study , 2015, Analytical and Bioanalytical Chemistry.

[4]  Hua-bei Jiang Diffuse Optical Tomography , 2010 .

[5]  Jukka S. Jurvelin,et al.  Fourier Transform Infrared Spectroscopic Imaging and Multivariate Regression for Prediction of Proteoglycan Content of Articular Cartilage , 2012, PloS one.

[6]  Jari Rautiainen,et al.  Orientation anisotropy of quantitative MRI relaxation parameters in ordered tissue , 2017, Scientific Reports.

[7]  Ali Guermazi,et al.  Advances in imaging of osteoarthritis and cartilage. , 2011, Radiology.

[8]  W M Johnston,et al.  Articular Cartilage Optical Properties in the Spectral Range 300-850 nm. , 1998, Journal of biomedical optics.

[9]  Jukka S Jurvelin,et al.  Practical considerations in the use of polarized light microscopy in the analysis of the collagen network in articular cartilage , 2008, Microscopy research and technique.

[10]  Molly M. Stevens,et al.  Raman Spectroscopy Reveals New Insights into the Zonal Organization of Native and Tissue-Engineered Articular Cartilage , 2016, ACS central science.

[11]  Emil N. Sobol,et al.  Change in the optical properties of hyaline cartilage heated by the near-IR laser radiation , 2001 .

[12]  Juha Töyräs,et al.  Arthroscopic Determination of Cartilage Proteoglycan Content and Collagen Network Structure with Near-Infrared Spectroscopy , 2019, Annals of Biomedical Engineering.

[13]  Juha Töyräs,et al.  Vibrational spectroscopy of articular cartilage , 2017 .

[14]  X. Bi,et al.  A novel method for determination of collagen orientation in cartilage by Fourier transform infrared imaging spectroscopy (FT-IRIS). , 2005, Osteoarthritis and cartilage.

[15]  Charalambos P. Charalambous,et al.  Articular Cartilage. Part II: Degeneration and Osteoarthrosis, Repair, Regeneration, and Transplantation , 2014 .

[16]  S. Trattnig,et al.  Anatomy, Biochemistry, and Physiology of Articular Cartilage , 2000, Investigative radiology.

[17]  B. Wong,et al.  The optical properties of porcine nasal cartilage , 1999 .

[18]  Jaume Puig-Junoy,et al.  Socio-economic costs of osteoarthritis: a systematic review of cost-of-illness studies. , 2015, Seminars in arthritis and rheumatism.

[19]  Juha Töyräs,et al.  Near Infrared Spectroscopic Mapping of Functional Properties of Equine Articular Cartilage , 2016, Annals of Biomedical Engineering.

[20]  Huabei Jiang,et al.  Image-guided optical spectroscopy in diagnosis of osteoarthritis: a clinical study , 2010, Biomedical optics express.

[21]  A Oloyede,et al.  Application of near infrared (NIR) spectroscopy for determining the thickness of articular cartilage. , 2013, Medical engineering & physics.

[22]  Laura A. Sordillo,et al.  Short wavelength infrared optical windows for evaluation of benign and malignant tissues , 2017, Journal of biomedical optics.

[23]  Nobuhiko Sugano,et al.  Raman spectroscopy investigation of load-assisted microstructural alterations in human knee cartilage: Preliminary study into diagnostic potential for osteoarthritis. , 2014, Journal of the mechanical behavior of biomedical materials.

[24]  Steven L. Jacques,et al.  Measurements of ligament and cartilage optical properties at 351 nm, 365 nm, and in the visible range (440 to 800 nm) , 1998, European Conference on Biomedical Optics.