ArticleFrontiers in endocrinology2021
Comprehensive Metabolomics Study in Children With Graves' Disease.
Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Serum metabolomics reveals systemic metabolic alterations of Graves' disease before and after antithyroid drug treatment.Endocrine connections · 2025Article
- N-phenethylacetamide, diaminopimelic acid, and Gly-Val as high-performance serum biomarkers for diagnosing untreated Graves' disease: an LC-MS-based metabolomics study.Frontiers in endocrinology · 2025Article
- Evaluation of the Dysregulation of Cholesterol and Glucose Levels in Graves' Disease Using Clinical Data Analysis.Reports of biochemistry & molecular biology · 2024Article
- Serum metabolome analysis in hyperthyroid cats before and after radioactive iodine therapy.PloS one · 2024Article
- Metabolite Changes during the Transition from Hyperthyroidism to Euthyroidism in Patients with Graves' Disease.Endocrinology and metabolism (Seoul, Korea) · 2022Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Graves' disease (GD) related hyperthyroidism (HT) has profound effects on metabolic activity and metabolism of macromolecules affecting energy homeostasis. In this study, we aimed to get a comprehensive understanding of the metabolic changes and their clinical relevance in GD children. Methods: We investigated serum substances from 30 newly diagnosed GD children and 30 age- and gender-matched healthy controls. We explored the metabolomics using ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-QTOF/MS) analysis, and then analyzed the metabolomic data Results: By untargeted metabolomic analysis, a total of 730 metabolites were identified in all participants, among which 48 differential metabolites between GD and control groups were filtered out, including amino acids, dipeptides, lipids, purines, etc. Among these metabolites, 33 were detected with higher levels, while 15 with lower levels in GD group compared to controls. Pathway analysis showed that HT had a significant impact on aminoacyl-transfer ribonucleic acid (tRNA) biosynthesis, several amino acids metabolism, purine metabolism, and pyrimidine metabolism. Conclusion: In this study,
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