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      High-resolution magic anglespinning ¹H nuclear magnetic resonance spectroscopy metabolomics of hyperfunctioning parathyroid glands

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      Author(s)
      Battini, S.
      Imperiale, A.
      Taïeb, D.
      Elbayed, K.
      Cicek, A. E.
      Sebag, F.
      Brunaud, L.
      Namer, Izzie-Jacques
      Date
      2016
      Source Title
      Surgery
      Print ISSN
      0039-6060
      Publisher
      Mosby, Inc.
      Volume
      160
      Issue
      2
      Pages
      384 - 394
      Language
      English
      Type
      Article
      Item Usage Stats
      214
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      453
      downloads
      Abstract
      Background Primary hyperparathyroidism (PHPT) may be related to a single gland disease or multiglandular disease, which requires specific treatments. At present, an operation is the only curative treatment for PHPT. Currently, there are no biomarkers available to identify these 2 entities (single vs. multiple gland disease). The aims of the present study were to compare (1) the tissue metabolomics profiles between PHPT and renal hyperparathyroidism (secondary and tertiary) and (2) single gland disease with multiglandular disease in PHPT using metabolomics analysis. Methods The method used was 1H high-resolution magic angle spinning nuclear magnetic resonance spectroscopy. Forty-three samples from 32 patients suffering from hyperparathyroidism were included in this study. Results Significant differences in the metabolomics profile were assessed according to PHPT and renal hyperparathyroidism. A bicomponent orthogonal partial least square-discriminant analysis showed a clear distinction between PHPT and renal hyperparathyroidism (R2Y = 0.85, Q2 = 0.63). Interestingly, the model also distinguished single gland disease from multiglandular disease (R2Y = 0.96, Q2 = 0.55). A network analysis was also performed using the Algorithm to Determine Expected Metabolite Level Alterations Using Mutual Information (ADEMA). Single gland disease was accurately predicted by ADEMA and was associated with higher levels of phosphorylcholine, choline, glycerophosphocholine, fumarate, succinate, lactate, glucose, glutamine, and ascorbate compared with multiglandular disease. Conclusion This study shows for the first time that 1H high-resolution magic angle spinning nuclear magnetic resonance spectroscopy is a reliable and fast technique to distinguish single gland disease from multiglandular disease in patients with PHPT. The potential use of this method as an intraoperative tool requires specific further studies.
      Keywords
      Primary
      Alanine
      Arginine
      Ascorbic acid
      Biological marker
      Choline
      Creatine
      Fumaric acid
      Glucose
      Glutamic acid
      Glutamine
      Glutathione
      Glycerophosphorylcholine
      Glycogen
      Inositol
      Lactic acid
      Leucine
      Lysine
      Phosphorylcholine
      Succinic acid
      Taurine
      Valine
      Adult
      Aged
      Algorithm
      Clinical article
      Comparative study
      Diagnostic accuracy
      Discriminant analysis
      Female
      High resolution magic angle spinning proton nuclear magnetic resonance
      Human
      Human tissue
      Hyperparathyroidism
      Male
      Metabolomics
      Middle aged
      Multiple parathyroid gland disease
      Nuclear magnetic resonance spectrometer
      Parathyroid disease
      Partial least squares regression
      Primary hyperparathyroidism
      Priority journal
      Proton nuclear magnetic resonance
      Renal osteodystrophy
      Single parathyroid gland disease
      Tissue level
      Hyperparathyroidism
      Secondary
      Metabolism
      Predictive value
      Peproducibility
      Retrospective study
      Adult
      Aged
      Female
      Humans
      Hyperparathyroidism
      Hyperparathyroidism
      Magnetic Resonance Spectroscopy
      Male
      Metabolomics
      Middle Aged
      Predictive Value of Tests
      Reproducibility of Results
      Retrospective Studies
      Permalink
      http://hdl.handle.net/11693/36770
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/j.surg.2016.03.002
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