ArticleScientific reports2016
Imaging of Osteoarthritic Human Articular Cartilage using Fourier Transform Infrared Microspectroscopy Combined with Multivariate and Univariate Analysis.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Cohort-Scale Spatial Autocorrelation for Tumor Prediction in Mid-Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Depth-Wise Changes in Tibial and Femoral Human Knee Joint Cartilage at Different Severities of Osteoarthritis.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2026Article
- Loss of collagen content is localized near cartilage lesions on the day of injurious loading and intensified on day 12.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025Article
- Infrared Spectroscopy Can Differentiate Between Cartilage Injury Models: Implication for Assessment of Cartilage Integrity.Annals of biomedical engineering · 2024Article
- Spatial analysis of the osteoarthritis microenvironment: techniques, insights, and applications.Bone research · 2024Review
- Rapid screening for autoimmune diseases using Fourier transform infrared spectroscopy and deep learning algorithms.Frontiers in immunology · 2023Article
- Infrared spectroscopy is suitable for objective assessment of articular cartilage health.Osteoarthritis and cartilage open · 2022Article
- Preclassification of Broadband and Sparse Infrared Data by Multiplicative Signal Correction Approach.Molecules (Basel, Switzerland) · 2022Article
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- Fourier Transform Infrared Microspectroscopy Combined with Principal Component Analysis and Artificial Neural Networks for the Study of the Effect of β-Hydroxy-β-Methylbutyrate (HMB) Supplementation on Articular Cartilage.International journal of molecular sciences · 2021Article
- To the Question on the Use of Multivariate Analysis and 2D Visualisation of Synchrotron ATR-FTIR Chemical Imaging Spectral Data in the Diagnostics of Biomimetic Sound Dentin/Dental Composite Interface.Diagnostics (Basel, Switzerland) · 2021Article
- Engineering of a Biomimetic Interface between a Native Dental Tissue and Restorative Composite and Its Study Using Synchrotron FTIR Microscopic Mapping.International journal of molecular sciences · 2021Article
- Vibrational Spectroscopy in Assessment of Early Osteoarthritis-A Narrative Review.International journal of molecular sciences · 2021Review
- Applications of Vibrational Spectroscopy for Analysis of Connective Tissues.Molecules (Basel, Switzerland) · 2021Review
- Monitoring of Peripheral Blood Leukocytes and Plasma Samples: A Pilot Study to Examine Treatment Response to Leflunomide in Rheumatoid Arthritis.Pharmaceuticals (Basel, Switzerland) · 2021Article
- Imaging the local biochemical content of native and injured intervertebral disc using Fourier transform infrared microscopy.JOR spine · 2020Article
- The synovial surface of the articular cartilage.European journal of histochemistry : EJH · 2020Article
- Dataset on equine cartilage near infrared spectra, composition, and functional properties.Scientific data · 2019Article
- Towards Patient-Specific Computational Modelling of Articular Cartilage on the Basis of Advanced Multiparametric MRI Techniques.Scientific reports · 2019Article
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Authors and funding
6 authors.
Funding
Abstract
The changes in chemical composition of human articular cartilage (AC) caused by osteoarthritis (OA) were investigated using Fourier transform infrared microspectroscopy (FTIR-MS). We demonstrate the sensitivity of FTIR-MS for monitoring compositional changes that occur with OA progression. Twenty-eight AC samples from tibial plateaus were imaged with FTIR-MS. Hyperspectral images of all samples were combined for K-means clustering. Partial least squares regression (PLSR) analysis was used to compare the spectra with the OARSI grade (histopathological grading of OA). Furthermore, the amide I and the carbohydrate regions were used to estimate collagen and proteoglycan contents, respectively. Spectral peak at 1338 cm(-1) was used to estimate the integrity of the collagen network. The layered structure of AC was revealed using the carbohydrate region for clustering. Statistically significant correlation was observed between the OARSI grade and the collagen integrity in the superficial (r = -0.55) and the deep (r = -0.41) zones. Furthermore, PLSR models predicted the OARSI grade from the superficial (r = 0.94) and the deep (r = 0.77) regions of the AC with high accuracy. Obtained results suggest that quantitative and qualitative changes occur in the AC composition during OA progression, and these can be monitored by the use of FTIR-MS.
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