Endocrinol Metab.  2022 Dec;37(6):891-900. 10.3803/EnM.2022.1590.

Metabolite Changes during the Transition from Hyperthyroidism to Euthyroidism in Patients with Graves’ Disease

Affiliations
  • 1Laboratory of Endocrinology and Immune System, Chungnam National University College of Medicine, Daejeon, Korea
  • 2Department of Medical Science, Chungnam National University College of Medicine, Daejeon, Korea
  • 3Department of Internal Medicine, Chungnam National University College of Medicine, Daejeon, Korea
  • 4Department of Biochemistry, Chungnam National University College of Natural Sciences, Daejeon, Korea
  • 5Department of Clinical Chemistry and Laboratory Medicine, Kyushu University Hospital, Fukuoka, Japan

Abstract

Background
An excess of thyroid hormones in Graves’ disease (GD) has profound effects on systemic energy metabolism that are currently partially understood. In this study, we aimed to provide a comprehensive understanding of the metabolite changes that occur when patients with GD transition from hyperthyroidism to euthyroidism with methimazole treatment.
Methods
Eighteen patients (mean age, 38.6±14.7 years; 66.7% female) with newly diagnosed or relapsed GD attending the endocrinology outpatient clinics in a single institution were recruited between January 2019 and July 2020. All subjects were treated with methimazole to achieve euthyroidism. We explored metabolomics by performing liquid chromatography-mass spectrometry analysis of plasma samples of these patients and then performed multivariate statistical analysis of the metabolomics data.
Results
Two hundred metabolites were measured before and after 12 weeks of methimazole treatment in patients with GD. The levels of 61 metabolites, including palmitic acid (C16:0) and oleic acid (C18:1), were elevated in methimazole-naïve patients with GD, and these levels were decreased by methimazole treatment. The levels of another 15 metabolites, including glycine and creatinine, were increased after recovery of euthyroidism upon methimazole treatment in patients with GD. Pathway analysis of metabolomics data showed that hyperthyroidism was closely related to aminoacyl-transfer ribonucleic acid biosynthesis and branched-chain amino acid biosynthesis pathways.
Conclusion
In this study, significant variations of plasma metabolomic patterns that occur during the transition from hyperthyroidism to euthyroidism were detected in patients with GD via untargeted metabolomics analysis.

Keyword

Graves disease; Thyrotoxicosis; Metabolomics; Metabolism

Figure

  • Fig. 1. Serum levels of thyroid hormones and thyroid-stimulating hormone (TSH)-binding inhibitor immunoglobulin (TBII) in patients with Graves’ disease at weeks 0 and 12 after commencement of methimazole treatment. (A) Changes of thyroid hormone levels before and after treatment of Graves’ disease with methimazole. (B) Levels of thyroid hormones, TBII, and TSH in male and female patients with Graves’ disease. Parametric (paired Student’s t test) and nonparametric (Wilcoxon signed-rank test) tests were used for statistical analysis. T4, thyroxine; T3, triiodothyronine; CI, confidence interval.

  • Fig. 2. Plasma levels of metabolites that show remarkable age-related increases or decreases in methimazole treatment-naïve patients with Graves’ disease. Aging-related metabolite changes in Graves’ disease patients were evaluated by Spearman’s correlation analysis. RT, retention time; LCA, lithocholic acid; HDCA, hyodeoxycholic acid; LPC, lysophosphatidylcholine.

  • Fig. 3. Principal component analysis (PCA) of metabolite data from patients with Graves’ disease at weeks 0 and 12 after commencement of methimazole treatment. (A) PCA of metabolite data from patients with Graves’ disease at weeks 0 and 12. The numbers in parentheses show the contribution rates. The red dots indicate week 0 (n=18) and the green dots indicate week 12 (n=18). (B) The loadings of individual metabolites on the principal components shown in (A).

  • Fig. 4. Plasma levels of metabolites before and after 12 weeks of methimazole treatment in patients with Graves’ disease. Visualization of significantly differentiated plasma metabolomic data (200 metabolites) between methimazole treatment with Graves’ disease in a heatmap. RT, retention time; TG, triglyceride; PC, phosphatidylcholine; LPC, lysophosphatidylcholine; DCA, dichloroacetic acid.

  • Fig. 5. Pathway analysis of plasma metabolite profiles before methimazole treatment in patients with Graves’ disease. (A) Metabolite set enrichment analysis based on the altered metabolites. (B) Serum metabolites based on pathway analysis before treatment in patients with Graves’ disease. CoA, coenzyme A.


Reference

1. Kim B. Thyroid hormone as a determinant of energy expenditure and the basal metabolic rate. Thyroid. 2008; 18:141–4.
Article
2. Greenlund LJ, Nair KS, Brennan MD. Changes in body composition in women following treatment of overt and subclinical hyperthyroidism. Endocr Pract. 2008; 14:973–8.
Article
3. Lee JC, Song BS, Kang YM, Kim YR, Kang YE, Lee JH, et al. Effect of thyroid-stimulating hormone suppression on muscle function after total thyroidectomy in patients with thyroid cancer. Front Endocrinol (Lausanne). 2021; 12:769074.
Article
4. Brent GA. Clinical practice: Graves’ disease. N Engl J Med. 2008; 358:2594–605.
5. Song E, Koo MJ, Noh E, Hwang SY, Park MJ, Kim JA, et al. Risk of diabetes in patients with long-standing Graves’ disease: a longitudinal study. Endocrinol Metab (Seoul). 2021; 36:1277–86.
Article
6. Eom YS, Wilson JR, Bernet VJ. Links between thyroid disorders and glucose homeostasis. Diabetes Metab J. 2022; 46:239–56.
7. Mynatt RL, Park EA, Thorngate FE, Das HK, Cook GA. Changes in carnitine palmitoyltransferase-I mRNA abundance produced by hyperthyroidism and hypothyroidism parallel changes in activity. Biochem Biophys Res Commun. 1994; 201:932–7.
8. Goglia F, Moreno M, Lanni A. Action of thyroid hormones at the cellular level: the mitochondrial target. FEBS Lett. 1999; 452:115–20.
Article
9. Al-Majdoub M, Lantz M, Spegel P. Treatment of Swedish patients with Graves’ hyperthyroidism is associated with changes in acylcarnitine levels. Thyroid. 2017; 27:1109–17.
Article
10. Song J, Shan Z, Mao J, Teng W. Serum polyamine metabolic profile in autoimmune thyroid disease patients. Clin Endocrinol (Oxf). 2019; 90:727–36.
Article
11. Liu J, Fu J, Jia Y, Yang N, Li J, Wang G. Serum metabolomic patterns in patients with autoimmune thyroid disease. Endocr Pract. 2020; 26:82–96.
Article
12. Xia Q, Qian W, Chen L, Chen X, Xie R, Zhang D, et al. Comprehensive metabolomics study in children with Graves’ disease. Front Endocrinol (Lausanne). 2021; 12:752496.
Article
13. Timmerman KL, Volpi E. Amino acid metabolism and regulatory effects in aging. Curr Opin Clin Nutr Metab Care. 2008; 11:45–9.
Article
14. Setoyama D, Lee HY, Moon JS, Tian J, Kang YE, Lee JH, et al. Immunometabolic signatures predict recovery from thyrotoxic myopathy in patients with Graves’ disease. J Cachexia Sarcopenia Muscle. 2022; 13:355–67.
Article
15. Srivastava S. Emerging insights into the metabolic alterations in aging using metabolomics. Metabolites. 2019; 9:301.
Article
16. Mariash CN. Thyroid hormone and the adipocyte. J Clin Endocrinol Metab. 2003; 88:5603–4.
Article
17. Sinha RA, Singh BK, Yen PM. Direct effects of thyroid hormones on hepatic lipid metabolism. Nat Rev Endocrinol. 2018; 14:259–69.
Article
18. Mendelson SD. Metabolic syndrome and psychiatric illness: interactions, pathophysiology, assessment and treatment. Boston: Elsevier/Academic Press;2008.
19. Jurand J, Oliver MF. Effect of thyroid activity on fatty acid composition of serum lipids. Atherosclerosis. 1970; 11:125–40.
Article
20. Zhou G, Xu Y, Zhai Y, Gong Z, Xu K, Wang G, et al. The association between serum palmitic acid and thyroid function. Front Endocrinol (Lausanne). 2022; 13:860634.
Article
21. Bremner AP, Feddema P, Leedman PJ, Brown SJ, Beilby JP, Lim EM, et al. Age-related changes in thyroid function: a longitudinal study of a community-based cohort. J Clin Endocrinol Metab. 2012; 97:1554–62.
Article
22. Chen X, Zheng X, Ding Z, Su Y, Wang S, Cui B, et al. Relationship of gender and age on thyroid hormone parameters in a large Chinese population. Arch Endocrinol Metab. 2020; 64:52–8.
Article
23. Hoogendoorn EH, Hermus AR, de Vegt F, Ross HA, Verbeek AL, Kiemeney LA, et al. Thyroid function and prevalence of anti-thyroperoxidase antibodies in a population with borderline sufficient iodine intake: influences of age and sex. Clin Chem. 2006; 52:104–11.
Article
24. Nelson DL, Cox MM. Principles of biochemistry. 4th ed. New York: Freeman;2004.
25. Ntountoumi C, Vlastaridis P, Mossialos D, Stathopoulos C, Iliopoulos I, Promponas V, et al. Low complexity regions in the proteins of prokaryotes perform important functional roles and are highly conserved. Nucleic Acids Res. 2019; 47:9998–10009.
Article
26. Chen L, Chen Y, Wang X, Li H, Zhang H, Gong J, et al. Efficacy and safety of oral branched-chain amino acid supplementation in patients undergoing interventions for hepatocellular carcinoma: a meta-analysis. Nutr J. 2015; 14:67.
Article
27. Holecek M. Branched-chain amino acids in health and disease: metabolism, alterations in blood plasma, and as supplements. Nutr Metab (Lond). 2018; 15:33.
Article
28. Krishnamurthy HK, Reddy S, Jayaraman V, Krishna K, Song Q, Rajasekaran KE, et al. Effect of micronutrients on thyroid parameters. J Thyroid Res. 2021; 2021:1865483.
Article
29. Louard RJ, Barrett EJ, Gelfand RA. Overnight branchedchain amino acid infusion causes sustained suppression of muscle proteolysis. Metabolism. 1995; 44:424–9.
Article
30. Sun L, Goh HJ, Verma S, Govindharajulu P, Sadananthan SA, Michael N, et al. Brown adipose tissues mediate the metabolism of branched chain amino acids during the transitioning from hyperthyroidism to euthyroidism (TRIBUTE). Sci Rep. 2022; 12:3693.
Article
31. Mannisto PT, Mattila J, Tuominen RK, Vesalainen S. Effects of some putative amino acid neurotransmitters on the stimulated TSH secretion in male rats. Horm Res. 1983; 17:19–26.
Article
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