Academic Journal
The metabolomics approach revealed a distinctive metabolomics pattern associated with hyperthyroidism treatment
| العنوان: | The metabolomics approach revealed a distinctive metabolomics pattern associated with hyperthyroidism treatment |
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| المؤلفون: | Jaber, Malak A., Benabdelkamel, Hicham, Dahabiyeh, Lina A., Masood, Afshan, AlMalki, Reem H., Musambil, Mohthash, Alfadda, Assim A., Abdel Rahman, Anas M. |
| المساهمون: | King Abdulaziz City for Science and Technology |
| المصدر: | Frontiers in Endocrinology ; volume 13 ; ISSN 1664-2392 |
| بيانات النشر: | Frontiers Media SA |
| سنة النشر: | 2022 |
| المجموعة: | Frontiers (Publisher - via CrossRef) |
| الوصف: | Background Hyperthyroidism is characterized by increased thyroid hormone production, which impacts various processes, including metabolism and energy expenditure. Yet, the underlying mechanism and subsequent influence of these changes are unknown. Metabolomics is a broad analytical method that enables qualitative and quantitative examination of metabolite level changes in biological systems in response to various stimuli, pathologies, or treatments. Objectives This study uses untargeted metabolomics to explore the potential pathways and metabolic patterns associated with hyperthyroidism treatment. Methods The study consisted of 20 patients newly diagnosed with hyperthyroidism who were assessed at baseline and followed up after starting antithyroid treatment. Two blood samples were taken from each patient, pre (hyperthyroid state) and post-treatment (euthyroid state). Hyperthyroid and euthyroid states were identified based on thyroxine and thyroid-stimulating hormone levels. The metabolic alteration associated with antithyroid therapy was investigated using liquid chromatography- high-resolution mass spectrometry. The untargeted metabolomics data was analyzed using both univariate and multivariate analyses using MetaboAnalyst v5.0. The significant metabolic pattern was identified using the lab standard pipeline, which included molecular annotation in the Human Metabolome Database, LipidMap, LipidBlast, and METLIN. The identified metabolites were examined using pathway and network analyses and linked to cellular metabolism. Results The results revealed a strong group separation between the pre- and post-hyperthyroidism treatment (Q2 = 0.573, R2 = 0.995), indicating significant differences in the plasma metabolome after treatment. Eighty-three mass ions were significantly dysregulated, of which 53 and 30 characteristics were up and down-regulated in the post-treatment compared to the pre-treatment group, respectively. The medium-chain acylcarnitines, octanoylcarnitine, and decanoylcarnitine, previously found to ... |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | unknown |
| DOI: | 10.3389/fendo.2022.1050201 |
| DOI: | 10.3389/fendo.2022.1050201/full |
| الاتاحة: | http://dx.doi.org/10.3389/fendo.2022.1050201 https://www.frontiersin.org/articles/10.3389/fendo.2022.1050201/full |
| Rights: | https://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: | edsbas.E6A09B74 |
| قاعدة البيانات: | BASE |
| DOI: | 10.3389/fendo.2022.1050201 |
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