Raman spectroscopy reveals age- and sex-related differences in cortical bone from people with osteoarthritis

Nieuwoudt, Michél K.; Shahlori, Rayomand; Naot, Dorit; Patel, Rhea; Holtkamp, Hannah U.; Aguergaray, Claude; Watson, Maureen; Musson, David S.; Brown, Cameron; Dalbeth, Nicola; Cornish, Jillian; Simpson, M. Cather

doi:10.1038/s41598-020-76337-2

Cited by 15 publications

(10 citation statements)

References 55 publications

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“…3 A), these ionic exchanges should be attributed to an evolution of the pre-existing apatitic phase. The maturation of nanoapatites in solution involves both an increase in crystallinity and the evolution of the elemental composition toward stoichiometric hydroxyapatite [ 20 , 88 , 89 ]. A progressive increase in crystallinity of the fine CDHA with incubation time was corroborated using XRD, with the observation of more intense and better resolved peaks with incubation time ( Fig.…”

Section: Discussionmentioning

confidence: 99%

Maturation of biomimetic hydroxyapatite in physiological fluids: a physicochemical and proteomic study

Konka

Español

Bosch

et al. 2021

Materials Today Bio

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Biomimetic calcium-deficient hydroxyapatite (CDHA) as a bioactive material exhibits exceptional intrinsic osteoinductive and osteogenic properties because of its nanostructure and composition, which promote a favorable microenvironment. Its high reactivity has been hypothesized to play a relevant role in the in vivo performance, mediated by the interaction with the biological fluids, which is amplified by its high specific surface area. Paradoxically, this high reactivity is also behind the in vitro cytotoxicity of this material, especially pronounced in static conditions. The present work explores the structural and physicochemical changes that CDHA undergoes in contact with physiological fluids and to investigate its interaction with proteins. Calcium-deficient hydroxyapatite discs with different micro/nanostructures, coarse (C) and fine (F), were exposed to cell-free complete culture medium over extended periods of time: 1, 7, 14, 21, 28, and 50 days. Precipitate formation was not observed in any of the materials in contact with the physiological fluid, which would indicate that the ionic exchanges were linked to incorporation into the crystal structure of CDHA or in the hydrated layer. In fact, CDHA experienced a maturation process, with a progressive increase in crystallinity and the Ca/P ratio, accompanied by an uptake of Mg and a B-type carbonation process, with a gradual propagation into the core of the samples. However, the reactivity of biomimetic hydroxyapatite was highly dependent on the specific surface area and was amplified in nanosized needle-like crystal structures (F), whereas in coarse specimens the ionic exchanges were restricted to the surface, with low penetration in the material bulk. In addition to showing a higher protein adsorption on F substrates, the proteomics study revealed the existence of protein selectivity toward F or C microstructures, as well as the capability of CDHA, and more remarkably of F-CDHA, to concentrate specific proteins from the culture medium. Finally, a substantial improvement in the material's ability to support cell proliferation was observed after the CDHA maturation process.

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Section: Discussionmentioning

confidence: 99%

Maturation of biomimetic hydroxyapatite in physiological fluids: a physicochemical and proteomic study

Konka

Español

Bosch

et al. 2021

Materials Today Bio

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“…proline (858 cm -1 ) and C-C stretching; protein backbone (816 cm -1 ) (Nieuwoudt et al 2020, Mansfield and Winlove 2017, Kumar et al 2015, Pezzotti et al 2022, Martinez et al 2019, Khalid et al 2018, Gao et al 2021, Takahashi et al 2014, Casal-Beiroa et al 2021, Prokopi et al 2021, Cárcamo et al 2012, Asaoka et al 2022.…”

Section: Introductionmentioning

confidence: 99%

Harnessing Raman spectroscopy and Multimodal Imaging of Cartilage for Osteoarthritis Diagnosis

Crisford,

Cook,

Bourdakos

et al. 2023

Preprint

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Osteoarthritis (OA) is a complex disease of cartilage characterised by chronic joint pain, limitations in mobility and function leading to reduced quality of life. Current methods to diagnose OA, such as X- ray, MRI and the invasive synovial fluid analysis lack molecular specificity and are limited to detection of the late stages of the disease. A rapid minimally invasive and non-destructive approach for early diagnosis of OA is a critical unmet need. Label-free techniques such as Raman Spectroscopy (RS), Coherent anti-Stokes Raman scattering (CARS), Second Harmonic Generation (SHG) and Two Photon Fluorescence (TPF) are increasingly being explored to characterise cartilage tissue. However, current studies are based on whole tissue analysis and do not take into account the different and structurally distinct layers in cartilage. In this work, we used Raman spectroscopy to obtain signatures from superficial and deep layers of healthy and osteoarthritic cartilage obtained from a total of 64 patients (45 OA and 19 controls). Spectra were acquired both in the ‘fingerprint’ region from 700 to 1720 cm-1and high-frequency stretching region from 2500 to 3300 cm-1. Principal component and linear discriminant analysis was used to identify the peaks that contributed the most to classification of the different samples. The most pronounced differences were observed at the proline (855 cm-1and 921 cm-1) and hydroxyproline (877 cm-1and 938 cm-1), sulphated glycosaminoglycan (sGAG) (1064 cm-1and 1380 cm-1) for both control and OA as well as the 1245 cm-1and 1272 cm-1, 1320 cm- 1and 1345 cm-1, 1451 collagen modes in OA samples, consistent with expected collagen structural changes. Classification accuracy based on Raman fingerprint spectral analysis of superficial and deep layer cartilage for controls was found to be 94% and 96%, respectively. OA diseased cartilage was classified with 80% and 87% accuracy based on analysis of the superficial and the deep layers, respectively. Raman spectra from the C-H stretching region (2500-3300 cm-1) did not result in high classification accuracies for OA diseased cartilage. Intriguingly, relatively less differences were found with gender in healthy cartilage indicating that OA brings about significant chemical changes across both genders in both layers. On the other hand, we found significant differences in superficial and deep layer cartilage signatures with age (under 60 and over 60 years). Preliminary images of different layers of cartilage using CARS, SHG and TPF showed Cell clustering in OA, and differences in pericellular matrix and collagen structure in the superficial and the deep layers. The current study demonstrates the potential of Raman Spectroscopy together with multimodal imaging as a potential tool that provides insight into the chemical and structural composition of different layers of cartilage to improve OA diagnosis.

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“…Phytoplankton cells have a highly multicomponent biomolecular composition. To address this issue, statistical multivariate analysis methods, which have been successfully applied in other complex systems, have been proposed. − To date, however, literature on the application of chemometric methods for phytoplankton Raman analysis is limited to reports on nutrient composition or depletion, the detection of invasive problematic phytoplankton species, and one report on cell viability. ,, These studies showed the great potential of Raman spectroscopy but suffered from the limitations mentioned above and the reported limited application of chemometric methods, which hindered the identification of broader trends in the complex Raman spectra of phytoplankton.…”

Section: Introductionmentioning

confidence: 99%

Detecting Phytoplankton Cell Viability Using NIR Raman Spectroscopy and PCA

et al. 2022

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Raman spectroscopy has long been suggested as a potentially fast and sensitive method to monitor phytoplankton abundance and composition in marine environments. However, the pitfalls of visible detection methods in pigment-rich biological material and the complexity of their spectra have hindered their application as reliable in situ detection methods. In this study we combine 1064 nm confocal Raman spectroscopy with multivariate statistical analysis techniques (principle component analysis and partial leas-squares discriminant analysis) to reliably measure differences in the cell viability of a diatom species (Chaetoceros muelleri) and two haptophyte species (Diacronema lutheri and Tisochrysis lutea) of phytoplankton. The low fluorescence background due to this combined approach of NIR Raman spectroscopy and multivariate data analysis allowed small changes in the overall spectral profiles to be reliably monitored, enabling the identification of the specific spectral features that could classify cells as viable or nonviable regardless of their species. The most significant differences upon cell death were shown by characteristic shifts in the carotenoid bands at 1527 and 1158 cm–1. The contributions from other biomolecules were less pronounced but revealed changes that could be identified using this combination of techniques.

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Raman spectroscopy reveals age- and sex-related differences in cortical bone from people with osteoarthritis

Cited by 15 publications

References 55 publications

Maturation of biomimetic hydroxyapatite in physiological fluids: a physicochemical and proteomic study

Maturation of biomimetic hydroxyapatite in physiological fluids: a physicochemical and proteomic study

Harnessing Raman spectroscopy and Multimodal Imaging of Cartilage for Osteoarthritis Diagnosis

Detecting Phytoplankton Cell Viability Using NIR Raman Spectroscopy and PCA

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