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Short Communication

Twin study: genotype-dependent epigenetic factors affecting free thyroxine levels in the normal range

    Saki Yoshioka

    Department of Clinical Laboratory & Biomedical Sciences, Osaka University Graduate School of Medicine, Yamadaoka 1–7, Suita, Osaka, 565-0871, Japan

    ,
    Yuya Arakawa

    Department of Clinical Laboratory & Biomedical Sciences, Osaka University Graduate School of Medicine, Yamadaoka 1–7, Suita, Osaka, 565-0871, Japan

    Center for Twin Research, Osaka University Graduate School of Medicine, Yamadaoka 1–7, Suita, Osaka, 565-0871, Japan

    ,
    Mika Hasegawa

    Department of Clinical Laboratory & Biomedical Sciences, Osaka University Graduate School of Medicine, Yamadaoka 1–7, Suita, Osaka, 565-0871, Japan

    ,
    Shiho Kato

    Department of Clinical Laboratory & Biomedical Sciences, Osaka University Graduate School of Medicine, Yamadaoka 1–7, Suita, Osaka, 565-0871, Japan

    ,
    Hinako Hashimoto

    Department of Clinical Laboratory & Biomedical Sciences, Osaka University Graduate School of Medicine, Yamadaoka 1–7, Suita, Osaka, 565-0871, Japan

    ,
    Saho Mori

    Department of Clinical Laboratory & Biomedical Sciences, Osaka University Graduate School of Medicine, Yamadaoka 1–7, Suita, Osaka, 565-0871, Japan

    ,
    Hiromichi Ueda

    Department of Clinical Laboratory & Biomedical Sciences, Osaka University Graduate School of Medicine, Yamadaoka 1–7, Suita, Osaka, 565-0871, Japan

    &
    Mikio Watanabe

    *Author for correspondence: Tel.: +81 06 6879 2592;

    E-mail Address: nabe@sahs.med.osaka-u.ac.jp

    Department of Clinical Laboratory & Biomedical Sciences, Osaka University Graduate School of Medicine, Yamadaoka 1–7, Suita, Osaka, 565-0871, Japan

    Center for Twin Research, Osaka University Graduate School of Medicine, Yamadaoka 1–7, Suita, Osaka, 565-0871, Japan

    Published Online:https://doi.org/10.2217/epi-2023-0372

    Aim: To explore the clinical application of DNA methylation affecting thyroid function, we evaluated the association of DNA methylation with free thyroxine (FT4) and TSH measurements in monozygotic twins. Materials & methods: Discordant pairs for FT4 or TSH levels were examined for the relationship between the within-pair difference of each measurement and the DNA methylation levels using epigenome-wide association studies. The contribution of polymorphisms to the methylation sensitivity was also examined. Results: We found two CpG sites significantly associated with FT4 levels, and also some CpG sites showing significant differences in their methylation levels within FT4-discordant pairs depending on the polymorphism in EPHB2. Conclusion: The FT4 level may be associated with a combination of methylation and polymorphisms in the EPHB2 gene.

    Graphical abstract

    Papers of special note have been highlighted as: • of interest; •• of considerable interest

    References

    • 1. Visser WE, Friesema EC, Visser TJ. Minireview: thyroid hormone transporters: the knowns and the unknowns. Mol. Endocrinol. 25(1), 1–14 (2011).
    • 2. Bianco AC, Kim BW. Deiodinases: implications of the local control of thyroid hormone action. J. Clin. Invest. 116(10), 2571–2579 (2006).
    • 3. Hansen PS, Brix TH, Sørensen TI, Kyvik KO, Hegedüs L. Major genetic influence on the regulation of the pituitary–thyroid axis: a study of healthy Danish twins. J. Clin. Endocrinol. Metab. 89(3), 1181–1187 (2004). • Twin study on heritability of serum TSH and free thyroxine (FT4) levels.
    • 4. Panicker V, Wilson SG, Spector TD et al. Heritability of serum TSH, free T4 and free T3 concentrations: a study of a large UK twin cohort. Clin. Endocrinol. 68(4), 652–659 (2008).
    • 5. Kuś A, Chaker L, Teumer A, Peeters RP, Medici M. The genetic basis of thyroid function: novel findings and new approaches. J. Clin. Endocrinol. Metab. 105(6), doi: 10.1210/clinem/dgz225 (2020). • Genome-wide association study identifying genes affecting serum TSH and FT4 levels.
    • 6. Smith ZD, Meissner A. DNA methylation: roles in mammalian development. Nat. Rev. Genet. 14(3), 204–220 (2013).
    • 7. Kulis M, Esteller M. DNA methylation and cancer. Adv. Genet. 70, 27–56 (2010).
    • 8. Feil R, Fraga MF. Epigenetics and the environment: emerging patterns and implications. Nat. Rev. Genet. 13(2), 97–109 (2012).
    • 9. Pan Y, Liu G, Zhou F, Su B, Li Y. DNA methylation profiles in cancer diagnosis and therapeutics. Clin. Exp. Med. 18(1), 1–14 (2018).
    • 10. Honda C, Watanabe M, Tomizawa R, Sakai N. Update on Osaka University Twin Registry: an overview of multidisciplinary research resources and Biobank at Osaka University Center for Twin Research. Twin Res. Hum. Genet. 22(6), 597–601 (2019). • An overview of the Osaka University Twin Registry, which manages the twin samples used in this study.
    • 11. Jones MJ, Islam SA, Edgar RD, Kobor MS. Adjusting for cell type composition in DNA methylation data using a regression-based approach. Methods Mol. Biol. 1589, 99–106 (2017).
    • 12. Reinius LE, Acevedo N, Joerink M et al. Differential DNA methylation in purified human blood cells: implications for cell lineage and studies on disease susceptibility. PLOS ONE 7(7), e41361 (2012).
    • 13. Taniguchi J, Masuda T, Iwatani Y et al. Rigorous evaluation of genetic and epigenetic effects on clinical laboratory measurements using Japanese monozygotic twins. Clin. Genet. 105(2), 159–172 (2023).
    • 14. Bottani M, Aarsand AK, Banfi G et al. European Biological Variation Study (EuBIVAS): within- and between-subject biological variation estimates for serum thyroid biomarkers based on weekly samplings from 91 healthy participants. Clin. Chem. Lab. Med. 60(4), 523–532 (2022).
    • 15. Popovic M, Matana A, Torlak V et al. Genome-wide meta-analysis identifies novel loci associated with free triiodothyronine and thyroid-stimulating hormone. J. Endocrinol. Invest. 42(10), 1171–1180 (2019). •• Genome-wide association study revealing that EPHB2 affects serum free triiodothyronine and FT4 levels.
    • 16. Pasquale EB. The Eph family of receptors. Curr. Opin. Cell Biol. 9(5), 608–615 (1997).
    • 17. Drescher U. The Eph family in the patterning of neural development. Curr. Biol. 7(12), R799–807 (1997).
    • 18. Brückner K, Klein R. Signaling by Eph receptors and their ephrin ligands. Curr. Opin. Neurobiol. 8(3), 375–382 (1998).
    • 19. O'leary DD, Wilkinson DG. Eph receptors and ephrins in neural development. Curr. Opin. Neurobiol. 9(1), 65–73 (1999).
    • 20. Park I, Lee HS. EphB/ephrinB signaling in cell adhesion and migration. Mol. Cells 38(1), 14–19 (2015). • An overview of the intracellular signaling and functions mediated by the EPH receptor encoded by the EPHB2 gene.
    • 21. Wohlfahrt JG, Karagiannidis C, Kunzmann S et al. Ephrin-A1 suppresses Th2 cell activation and provides a regulatory link to lung epithelial cells. J. Immunol. 172(2), 843–850 (2004).
    • 22. Kawano H, Katayama Y, Minagawa K, Shimoyama M, Henkemeyer M, Matsui T. A novel feedback mechanism by ephrin-B1/B2 in T-cell activation involves a concentration-dependent switch from costimulation to inhibition. Eur. J. Immunol. 42(6), 1562–1572 (2012).
    • 23. Nguyen TM, Arthur A, Hayball JD, Gronthos S. EphB and ephrin-B interactions mediate human mesenchymal stem cell suppression of activated T-cells. Stem Cells Dev. 22(20), 2751–2764 (2013).
    • 24. Hodkinson CF, Simpson EE, Beattie JH et al. Preliminary evidence of immune function modulation by thyroid hormones in healthy men and women aged 55–70 years. J. Endocrinol. 202(1), 55–63 (2009).
    • 25. Blazev R, Carl CS, Ng YK et al. Phosphoproteomics of three exercise modalities identifies canonical signaling and C18ORF25 as an AMPK substrate regulating skeletal muscle function. Cell Metab. 34(10), 1561–1577.e1569 (2022). • Analysis of the function of the C9ORF25 gene using knockout mice.
    • 26. Pasquini LA, Marta CB, Adamo AM, Pasquini JM, Soto EF. Relationship between the ubiquitin-dependent pathway and apoptosis in different cells of the central nervous system: effect of thyroid hormones. Neurochem. Res. 25(5), 627–635 (2000).
    • 27. Barbi J, Pardoll DM, Pan F. Ubiquitin-dependent regulation of Foxp3 and Treg function. Immunol. Rev. 266(1), 27–45 (2015).
    • 28. Harbour JW, Luo RX, Dei Santi A, Postigo AA, Dean DC. Cdk phosphorylation triggers sequential intramolecular interactions that progressively block Rb functions as cells move through G1. Cell 98(6), 859–869 (1999).
    • 29. Xie B, Tan G, Ren J et al. RB1 is an immune-related prognostic biomarker for ovarian cancer. Front. Oncol. 12, 830908 (2022).
    • 30. Lagou V, Garcia-Perez JE, Smets I et al. Genetic architecture of adaptive immune system identifies key immune regulators. Cell Rep. 25(3), 798–810.e796 (2018).
    • 31. Zhang Y, Li Z, Chen M et al. lncRNA TCL6 correlates with immune cell infiltration and indicates worse survival in breast cancer. Breast Cancer 27(4), 573–585 (2020).
    • 32. Ha H, Debnath B, Neamati N. Role of the CXCL8–CXCR1/2 axis in cancer and inflammatory diseases. Theranostics 7(6), 1543–1588 (2017).
    • 33. Cui S, Qiao L, Yu S et al. The antagonist of CXCR1 and CXCR2 protects db/db mice from metabolic diseases through modulating inflammation. Am. J. Physiol. Endocrinol. Metab. 317(6), E1205–e1217 (2019).
    • 34. Li L, Yee C, Beavo JA. CD3- and CD28-dependent induction of PDE7 required for T cell activation. Science 283(5403), 848–851 (1999).
    • 35. Dubiel W, Chaithongyot S, Dubiel D, Naumann M. The COP9 signalosome: a multi-DUB complex. Biomolecules 10(7), (2020).
    • 36. Tomer Y, Hasham A, Davies TF et al. Fine mapping of loci linked to autoimmune thyroid disease identifies novel susceptibility genes. J. Clin. Endocrinol. Metab. 98(1), E144–152 (2013).
    • 37. Lafontaine N, Campbell PJ, Castillo-Fernandez JE et al. Epigenome-wide association study of thyroid function traits identifies novel associations of fT3 With KLF9 and DOT1L. J. Clin. Endocrinol. Metab. 106(5), e2191–e2202 (2021).
    • 38. Weihs A, Chaker L, Martin TC et al. Epigenome-wide association study reveals CpG sites associated with thyroid function and regulatory effects on KLF9. Thyroid 33(3), 301–311 (2023).
    • 39. International Hapmap C. The International HapMap Project. Nature 426(6968), 789–796 (2003).