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

Autor: Battini, S., Imperiale, A., Taïeb, D., Elbayed, K., Cicek, A. E., Sebag, F., Brunaud, L., Namer, Izzie-Jacques
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Male
Secondary
Magnetic Resonance Spectroscopy
endocrine system diseases
Taurine
Single parathyroid gland disease
Glutamine
Diagnostic accuracy
Choline
Middle aged
Priority journal
Alanine
Hyperparathyroidism
Proton nuclear magnetic resonance
Lactic acid
Valine
Glutathione
Discriminant analysis
Fumaric acid
Algorithm
Retrospective study
High resolution magic angle spinning proton nuclear magnetic resonance
Ascorbic acid
Parathyroid disease
Female
Glutamic acid
Primary
Glycogen
Renal osteodystrophy
Human
Adult
Phosphorylcholine
Clinical article
Primary hyperparathyroidism
Predictive value
Peproducibility
Arginine
Nuclear magnetic resonance spectrometer
Partial least squares regression
Succinic acid
Tissue level
Leucine
Predictive Value of Tests
Metabolomics
Humans
Glycerophosphorylcholine
Human tissue
Multiple parathyroid gland disease
Aged
Retrospective Studies
Lysine
Reproducibility of Results
Creatine
Biological marker
Glucose
Metabolism
Comparative study
Inositol
Zdroj: Surgery
Popis: 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.
Databáze: OpenAIRE
Externí odkaz: