Shining Light on Osteoarthritis: Spatially Offset Raman Spectroscopy as a Window into Cartilage Health.

Autor: Raj P; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States., Wu L; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States., Almeida C; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States., Conway L; Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States., Tanwar S; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States., Middendorf J; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States., Barman I; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.; The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University, School of Medicine, Baltimore, Maryland 21205, United States.; Department of Oncology, Johns Hopkins University, Baltimore, Maryland 21287, United States.
Jazyk: angličtina
Zdroj: ACS sensors [ACS Sens] 2024 Jul 26; Vol. 9 (7), pp. 3794-3804. Date of Electronic Publication: 2024 Jul 08.
DOI: 10.1021/acssensors.4c01242
Abstrakt: Articular cartilage is a complex tissue, and early detection of osteoarthritis (OA) is crucial for effective treatment. However, current imaging modalities lack molecular specificity and primarily detect late-stage changes. In this study, we propose the use of spatially offset Raman spectroscopy (SORS) for noninvasive, depth-dependent, and molecular-specific diagnostics of articular cartilage. We demonstrate the potential of SORS to penetrate deep layers of cartilage, providing a comprehensive understanding of disease progression. Our SORS measurements were characterized and validated through mechanical and histological techniques, revealing strong correlations between spectroscopic measurements and both Young's modulus and depth of cartilage damage. By longitudinally monitoring enzymatically degraded condyles, we further developed a depth-dependent damage-tracking method. Our analysis revealed distinct components related to sample depth and glycosaminoglycan (GAG) changes, offering a comprehensive picture of cartilage health. Collectively, these findings highlight the potential of SORS as a valuable tool for enhancing OA management and improving patient outcomes.
Databáze: MEDLINE