Raman Spectroscopy of Soft Musculoskeletal Tissues

Esmonde-White, Karen A.

doi:10.1366/14-07592

Cited by 34 publications

(23 citation statements)

References 94 publications

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“…The ability to demonstrate subtle differences, undetectable by visual methods, using a technique that is already used clinically means that this could be applied to AKU patients in vivo for real time monitoring of ochronosis and to determine appropriate time to treat. The spectra from the non-ochronotic samples, hip (hyaline) and ear (elastic) cartilage were comparable to each other and are typical of articular 19 and elastic 21 cartilage spectra, respectively. The main difference is the presence of elastin fibres, and while a direct comparison of the two cartilage types may identify spectral differences, this is not clear from the raw spectra, and no direct comparisons were made.…”

Section: Discussionmentioning

confidence: 67%

Raman Spectroscopy identifies differences in ochronotic and non-ochronotic cartilage; a potential novel technique for monitoring ochronosis

Taylor

Jenks

Kammath

et al. 2019

Osteoarthritis and Cartilage

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Objective: Alkaptonuria (AKU) is a rare, inherited disorder of tyrosine metabolism, where patients are unable to breakdown homogentisic acid (HGA), which increases systemically over time. It presents with a clinical triad of features; HGA in urine, ochronosis of collagenous tissues, and the subsequent ochronotic arthritis of these tissues. In recent years the advance in the understanding of the disease and the potential treatment of the disorder looks promising with the data on the efficacy of nitisinone. However, there are limited methods for the detection and monitoring of ochronosis in vivo, or for treatment monitoring. The study aim was to test the hypothesis that Raman spectra would identify a distinct chemical fingerprint for the non-ochronotic, compared to ochronotic cartilage. Design: Ochronotic and non-ochronotic cartilage from human hips and ears were analysed using Raman spectroscopy. Results: Non-ochronotic cartilage spectra were similar and reproducible and typical of normal articular cartilage. Conversely, the ochronotic cartilage samples were highly fluorescent and displayed limited or no discernible Raman peaks in the spectra, in stark contrast to their non-ochronotic pairs. Interestingly, a novel peak was observed associated with the polymer of HGA in the ochronotic cartilage that was confirmed by analysis of pigment derived from synthetic HGA. Conclusion: This technique reveals novel data on the chemical differences in ochronotic compared with non-ochronotic cartilage, these differences are detectable by a technique that is already generating in vivo data and demonstrates the first possible procedure to monitor the progression of ochronosis in tissues of patients with AKU.

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Section: Discussionmentioning

confidence: 67%

Raman Spectroscopy identifies differences in ochronotic and non-ochronotic cartilage; a potential novel technique for monitoring ochronosis

Taylor

Jenks

Kammath

et al. 2019

Osteoarthritis and Cartilage

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“…Although NIR spectroscopy offers a superior penetration depth (~0.5e5 mm) in cartilage compared to RS (couple hundred mm), NIR spectrum bands are chemically less-specific and relatively harder to interpret. Midinfrared (MIR) and fingerprint region of Raman spectrum have been widely used to assess the OA-associated biochemical changes in collagen and PGs 16,49 . Raman fingerprint region has been also used recently to study depth-dependent water distribution 50 through the analysis of inherently weak water peak located at Amide I region.…”

Section: Discussionmentioning

confidence: 99%

Raman spectroscopy-based water content is a negative predictor of articular human cartilage mechanical function

Ünal

Akkuş

Sun

et al. 2019

Osteoarthritis and Cartilage

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s u m m a r yObjective: Probing the change in water content is an emerging approach to assess early diagnosis of osteoarthritis (OA). We herein developed a new method to assess hydration status of cartilage nondestructively using Raman spectroscopy (RS), and showed association of Raman-based water and organic content measurement with mechanical properties of cartilage. We further compared Raman-based water measurement to gravimetric and magnetic resonance imaging (MRI)-based water measurement. Design: Eighteen cadaveric human articular cartilage plugs from 6 donors were evenly divided into two age groups: young (n ¼ 9, mean age: 29.3 ± 6.6) and old (n ¼ 9, mean age: 64.0 ± 1.5). Water content in cartilage was measured using RS, gravimetric, and MRI-based techniques. Using confined compression creep test, permeability and aggregate modulus were calculated. Regression analyses were performed among RS parameters, MRI parameter, permeability, aggregate modulus and gravimetrically measured water content. Results: Regardless of the method used to calculate water content (gravimetric, RS and MRI), older cartilage group consistently had higher water content compared to younger group. There was a stronger association between gravimetric and RS-based water measurement (R 2 g ¼ 0.912) than between gravimetric and MRI-based water measurement (R 2 c ¼ 0.530). Gravimetric and RS-based water contents were significantly correlated with permeability and aggregate modulus whereas MRI-based water measurement was not. Conclusion: RS allows for quantification of different water compartments in cartilage nondestructively, and estimation of up to 82% of the variation observed in the permeability and aggregate modulus of articular cartilage. RS has the potential to be used clinically to monitor cartilage quality noninvasively or minimally invasively with Raman probe during arthroscopy procedures.Published

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“…The Raman absorbances that are prominent in bone and cartilage are described by Morris and Mandair 132 for bone and by Mansfield et al 133 , Bonifacio et al 134 and Esmonde-White 135 for articular cartilage. Similar to the MIR, the primary Raman scattering intensities arise from proteins, lipids and mineral.…”

Section: Raman Spectroscopy and Tissue Engineeringmentioning

confidence: 93%

Vibrational spectroscopy and imaging: applications for tissue engineering

Querido

Falcon

Kandel

et al. 2017

Analyst

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Tissue engineering (TE) approaches strive to regenerate or replace an organ or tissue. The successful development and subsequent integration of a TE construct is contingent on a series of in vitro and in vivo events that result in an optimal construct for implantation. Current widely used methods for evaluation of constructs are incapable of providing an accurate compositional assessment without destruction of the construct. In this review, we discuss the contributions of vibrational spectroscopic assessment for evaluation of tissue engineered construct composition, both during development and post-implantation. Fourier transform infrared (FTIR) spectroscopy in the mid and near-infrared range, as well as Raman spectroscopy, are intrinsically label free, can be non-destructive, and provide specific information on the chemical composition of tissues. Overall, we examine the contribution that vibrational spectroscopy via fiber optics and imaging have to tissue engineering approaches.

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Raman Spectroscopy of Soft Musculoskeletal Tissues

Cited by 34 publications

References 94 publications

Raman Spectroscopy identifies differences in ochronotic and non-ochronotic cartilage; a potential novel technique for monitoring ochronosis

Raman Spectroscopy identifies differences in ochronotic and non-ochronotic cartilage; a potential novel technique for monitoring ochronosis

Raman spectroscopy-based water content is a negative predictor of articular human cartilage mechanical function

Vibrational spectroscopy and imaging: applications for tissue engineering

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