ECE2023 Eposter Presentations Calcium and Bone (99 abstracts)
Application of untargeted metabolomics in primary hyperparathyroidism
Marta Wielogórska-Partyka 1 , Beata Podgórska 1 , Karolina Mocarska 1 , Joanna Godzień 2 , Julia Siemińska 2 , Michał Ciborowski 2 , Gabriela Kozłowska 2 , Małgorzata Szelachowska 1 , Agnieszka Adamska 1 , Anna Popławska-Kita 1 , Janusz Dzieciol 3 , Adam Krętowski 1,2 & Katarzyna Siewko 1
1Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Bialystok, Poland; 2Clinical Research Centre, Medical University of Bialystok, Poland; 3Department of Human Anatomy, Medical University of Bialystok, Bialystok, Poland
Background: The excessive secretion of parathormone by parathyroid glands is a common disorder known as hyperparathyroidism. With a prevalence of 0.1-0.4 percent in the general population and 2-4 percent in post-menopausal women, primary hyperparathyroidism is the third most frequently reported endocrine disorder. According to estimates, the prevalence of primary hyperparathyroidism has escalated in recent years, probably due to the increasing rate of parathormone and calcium measurements. Evaluation of whether patient with hyperparathyroidism requires parathyroidectomy assumed important place in endocrinology practice. Metabolomics is a relatively new field of science serving a source of novel potential biomarkers. This new important ‘omic’ approach delivers biochemical information associated with the regulation of specific gene transcripts.
Objective: The aim of the study was to explore metabolic differences in plasma metabolome between patients with primary hyperparathyroidism and healthy individuals.
Methods: A retrospective, single-center study was performed on 28 patients with primary hyperparathyroidism and 30 healthy volunteers. Two complementary liquid-phase separation methods, capillary electrophoresis combined with TOF (CE-TOF-MS) and liquid chromatography coupled with QTOF (LC-QTOF-MS), were used to obtain metabolic fingerprints of plasma samples. A filtering and QA procedure, followed by uni- and multivariate analysis were applied to the acquired data. All included patients underwent the endocrine work-up aimed to study the hormonal and electrolyte status of primary hyperparathyroidism.
Results: Untargeted metabolomics has been successfully applied to track differences in plasma metabolome between PHPT patients and healthy subjects regardless of the technique used. The application of two complementary liquid-phase separation methods significantly increased metabolite coverage. The observed differences in metabolic profiles were subtle but amounted to more than 250 metabolic features: 36 CE/MS, 91 LC/MS for pos mode, and 127 LC/MS for neg mode. More than 20% of noted features were steroid hormone sulfates and vitamin D3 derivatives.
Conclusions: The most significant differences were observed between anionic metabolites detected by LC-MS, followed by cationic compounds measured by CE-MS, while the weakest differences were observed for cationic molecules detected via LC-MS. Presented results show that application of untargeted metabolomics in patients with primary hyperparathyroidism may help to understand the pathogenesis of primary hyperparathyroidism and to discover new biomarkers in easy-to-obtain biological samples. However, a larger cohort is necessary to search for potential biomarkers due to subtle changes in the levels of metabolites in patients with primary hyperparathyroidism.
Volume 90
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Endocrine Abstracts
ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
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