Literature DB >> 16319755

Correlation of HR-MAS spectroscopy derived metabolite concentrations with collagen and proteoglycan levels and Thompson grade in the degenerative disc.

Kayvan R Keshari1, Jeffrey C Lotz, John Kurhanewicz, Sharmila Majumdar.   

Abstract

STUDY
DESIGN: A quantitative high-resolution magic angle spinning (HR-MAS) NMR study of human lumbar discs was conducted to determine biomarkers of disc degeneration.
OBJECTIVES: To correlate HR-MAS quantification of compounds relevant to human lumbar disc degeneration to conventional methods of disc grading such as Thompson grading and biochemical analysis. SUMMARY OF BACKGROUND DATA: It has been shown that there is poor correlation between MRI and CT morphologic findings, spinal biomechanics, and patient symptoms in degenerative disc disease and low back pain. There is a need for an objective, quantitative measurement of biochemical status, morphology, and function.
METHODS: A total of 17 cadaveric human lumbar intervertebral discs were harvested from patients ranging from 20 to 85 years of age. Quantitative HR-MAS data were acquired, and proteoglycan and collagen biochemical analyses were conducted on 3-mm biopsy punches taken from the anulus fibrosus and nucleus pulposus of each sample. HR-MAS data were fitted and analyzed for hydroxyproline (3.42 ppm), glycine (3.56 ppm), and the N-acetyl peak (2.04 ppm) associated with proteoglycans in comparison with an internal standard. These concentrations were then compared directly to biochemical analyses and Thompson grade.
RESULTS: HR-MAS data correlated well with Thompson grade (P < 0.001). An increase was seen in the levels of unbound hydroxyproline and glycine in annular tissue, which is directly associated to collagen breakdown. This trend also correlates with the changes of total collagen measured by a collagen biochemical assay. HR-MAS also detected a decrease in concentration of nucleus pulposus proteoglycans with degeneration. This proteoglycan decrease was verified by a standard proteoglycan biochemical assay.
CONCLUSIONS: Changes in disc chemical composition can be accurately quantified using quantitative HR-MAS NMR spectroscopy ex vivo. This noninvasive method of qualitatively and quantitatively assessing disc degeneration supports the utility of these biomarkers and underlines the need for developing in vivo magnetic resonance spectroscopic imaging (MRSI) for characterizing intervertebral disc degeneration.

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Year:  2005        PMID: 16319755     DOI: 10.1097/01.brs.0000188256.88859.9c

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  11 in total

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Authors:  Marco Brayda-Bruno; Marta Tibiletti; Keita Ito; Jeremy Fairbank; Fabio Galbusera; Alberto Zerbi; Sally Roberts; Ellen Wachtel; Yulia Merkher; Sarit Sara Sivan
Journal:  Eur Spine J       Date:  2013-08-27       Impact factor: 3.134

Review 2.  Applications of high-resolution magic angle spinning MRS in biomedical studies II-Human diseases.

Authors:  Christopher Dietz; Felix Ehret; Francesco Palmas; Lindsey A Vandergrift; Yanni Jiang; Vanessa Schmitt; Vera Dufner; Piet Habbel; Johannes Nowak; Leo L Cheng
Journal:  NMR Biomed       Date:  2017-09-15       Impact factor: 4.044

3.  T2 relaxation times correlated with stage of lumbar intervertebral disk degeneration and patient age.

Authors:  N L Marinelli; Victor M Haughton; P A Anderson
Journal:  AJNR Am J Neuroradiol       Date:  2010-04-01       Impact factor: 3.825

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5.  Magnetic resonance spectroscopy (MRS) can identify painful lumbar discs and may facilitate improved clinical outcomes of lumbar surgeries for discogenic pain.

Authors:  Matthew G Gornet; James Peacock; John Claude; Francine W Schranck; Anne G Copay; Robert K Eastlack; Ryan Benz; Adam Olshen; Jeffrey C Lotz
Journal:  Eur Spine J       Date:  2019-01-04       Impact factor: 3.134

6.  In vivo intervertebral disc characterization using magnetic resonance spectroscopy and T1ρ imaging: association with discography and Oswestry Disability Index and Short Form-36 Health Survey.

Authors:  Jin Zuo; Gabby B Joseph; Xiaojuan Li; Thomas M Link; Serena S Hu; Sigurd H Berven; John Kurhanewitz; Sharmila Majumdar
Journal:  Spine (Phila Pa 1976)       Date:  2012-02-01       Impact factor: 3.468

7.  Metabolic reprogramming and validation of hyperpolarized 13C lactate as a prostate cancer biomarker using a human prostate tissue slice culture bioreactor.

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8.  Assessment of intervertebral disc degeneration with magnetic resonance single-voxel spectroscopy.

Authors:  Jin Zuo; Ehsan Saadat; Adan Romero; Kimberly Loo; Xiaojuan Li; Thomas M Link; John Kurhanewicz; Sharmila Majumdar
Journal:  Magn Reson Med       Date:  2009-11       Impact factor: 4.668

9.  Serum metabolites as potential biomarkers for diagnosis of knee osteoarthritis.

Authors:  Qingmeng Zhang; Heng Li; Zhendong Zhang; Fan Yang; Jiying Chen
Journal:  Dis Markers       Date:  2015-03-16       Impact factor: 3.434

10.  Characterization of metabolites determined by means of 1H HR MAS NMR in intervertebral disc degeneration.

Authors:  Barbara Pacholczyk-Sienicka; Maciej Radek; Andrzej Radek; Stefan Jankowski
Journal:  MAGMA       Date:  2014-08-10       Impact factor: 2.310

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