High-resolution magic anglespinning ¹H nuclear magnetic resonance spectroscopy metabolomics of hyperfunctioning parathyroid glands
Author(s)
Date
2016Source Title
Surgery
Print ISSN
0039-6060
Publisher
Mosby, Inc.
Volume
160
Issue
2
Pages
384 - 394
Language
English
Type
ArticleItem Usage Stats
214
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453
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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
PrimaryAlanine
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/11693/36770Published Version (Please cite this version)
http://dx.doi.org/10.1016/j.surg.2016.03.002Collections
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