Serum and urine 1H NMR-based metabolomics in the diagnosis of selected thyroid diseases

Wojciech Wojtowicz, Adam Zabek, Stanislaw Deja, Tomasz Dawiskiba, Dorota Pawelka, Mateusz Glod, Waldemar Balcerzak, Piotr Mlynarz

Research output: Contribution to journalArticle

16 Scopus citations

Abstract

Early detection of nodular thyroid diseases including thyroid cancer is still primarily based on invasive procedures such as fine-needle aspiration biopsy. Therefore, there is a strong need for development of new diagnostic methods that could provide clinically useful information regarding thyroid nodular lesions in a non-invasive way. In this study we investigated 1H NMR based metabolic profiles of paired urine and blood serum samples, that were obtained from healthy individuals and patients with nodular thyroid diseases. Estimation of predictive potential of metabolites was evaluated using chemometric methods and revealed that both urine and serum carry information sufficient to distinguish between patients with nodular lesions and healthy individuals. Data fusion allowed to further improve prediction quality of the models. However, stratification of tumor types and their differentiation in relation to each other was not possible.

Original languageEnglish (US)
Article number9108
JournalScientific reports
Volume7
Issue number1
DOIs
StatePublished - Dec 1 2017
Externally publishedYes

ASJC Scopus subject areas

  • General

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    Wojtowicz, W., Zabek, A., Deja, S., Dawiskiba, T., Pawelka, D., Glod, M., Balcerzak, W., & Mlynarz, P. (2017). Serum and urine 1H NMR-based metabolomics in the diagnosis of selected thyroid diseases. Scientific reports, 7(1), [9108]. https://doi.org/10.1038/s41598-017-09203-3