ClinicalTrials.gg
CompletedNCT02491567THYRODNAUpdated Sep 26, 2019

DNA Methylation and Autoimmune Thyroid Diseases

An observational study in Hashimoto Thyroiditis and Graves Disease, sponsored by Aristotle University Of Thessaloniki. Completed at 1 site in Greece. Open to participants aged 4 Years to 18 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2019-09-26.

Sponsored by Aristotle University Of Thessaloniki · Observational

Study type
Observational
Model
Case-control
Time perspective
Cross-sectional
Enrollment
110
Ages
4 Years to 18 Years
Sex
All
01

Study summary

Hashimoto Thyroiditis (HT) and Graves Disease (GD) are known to be caused by abnormal immune response against self cells and tissues. Epigenetics is a novel field of biology studying the mechanisms by which the environment interacts with the genotype to produce a variety of phenotypes through modifications to chromatin that do not directly alter the DNA sequence. A very limited number of epigenetic studies have been published in patients with HT and GD so far. Therefore, the purpose of this study is to analyze DNA methylation status in White Blood Cells (WBCs) within the promoter regions of genomic sites that have been previously identified as susceptibility loci or sites for autoimmune thyroid disease, such as the CD40L, FOXP3, CTLA4, PTPN22, IL2RA, FCRL3 and HLADRB1 genes.

Read the detailed description

Hashimoto Thyroiditis (HT) and Graves Disease (GD) are known to be caused by abnormal immune response against self cells and tissues. HT involves a cell-mediated autoimmune destruction of the thyroid leading to hypothyroidism. GD is caused by a process in which immune cells make stimulating antibodies against the thyroid stimulating hormone (TSH) receptor on the thyroid gland, thus leading to hyperthyroidism. Although there is substantial evidence that genetic factors increase the risk for developing autoimmune diseases, monozygotic twins still remain discordant for disease (disease concordance is never 100%), thus suggesting a role for environmental factors and epigenetics.

Epigenetics is a novel field of biology studying the mechanisms by which the environment interacts with the genotype to produce a variety of phenotypes through modifications to chromatin that do not directly alter the DNA sequence. These modifications have been associated with altered gene expression and silencing of repetitive elements and can be inherited mitotically. Epigenetic mechanisms include DNA methylation, histone modifications, or miRNA post-transcriptional regulation. DNA methylation involves the covalent addition of a methyl group to the carbon-5 position in the CpG dinucleotide from the methyl donor S-adenosylmethionine and is mediated by a group of enzymes called DNA methyltransferases (DNMTs). CpG dinucleotides are typically grouped together in regions known as CGIs (islands). CGIs can be found in the promoter regions of genes, and CpG methylation of these gene promoters is associated with transcriptional silencing. In contrast, hypermethylated genes have been found to be transcriptionally active.

A very limited number of epigenetic studies have been published in patients with HT and GD so far. Therefore, the purpose of this study is to analyze DNA methylation status in White Blood Cells (WBCs) within the promoter regions of genomic sites that have been previously identified as susceptibility loci or sites for autoimmune thyroid disease, such as the CD40L, FOXP3, CTLA4, PTPN22, IL2RA, FCRL3 and HLADRB1 genes.

Initially, recruitment of patients and controls as well as blood sample collection will be done. A complete physical examination will also be performed in all participants included in the study, and a detailed personal, family, gestational and perinatal history will be obtained as well before inclusion. Blood samples by all participants will be collected and centrifuged and then White Blood Cells (WBCs), plasma and serum will be separated and stored in a deep freezer.

Laboratory analyses will follow. DNA will be isolated from peripheral leukocytes using the QIAamp DNA Blood Mini Kit, according to the manufacturer's instructions. It will then be treated with sodium bisulfite using the Zymo EZ DNA Methylation-Gold Kit, again according to the manufacturer's protocol. Therefore, unmethylated cytosines will be converted into uracyls, whereas methylated cytosines will remain unchanged. Quantification of the methylation status of DNA at the gene promoter regions under study will be made, using specific primers that detect modified DNA, by real-time PCR and analysis of the melting curves of the selected fragments of DNA. Amplicons will also be analyzed by electrophoresis and visualized by ultraviolet trans-illumination.

An electronic Data Base will be constructed and Statistical Analysis will follow. Results and Conclusions will be published in peer-review journals and presented in International Meetings.

02

Conditions studied

  • Hashimoto Thyroiditis
  • Graves Disease
03

In context

Hashimoto Disease

53 studies on the registry are indexed under Hashimoto Disease; 13 are open to participants now.

This study's enrollment of 110 is close to the median of 112 across 22 observational studies indexed under Hashimoto Disease.

Browse Hashimoto Disease studies →

Lead sponsor

Aristotle University Of Thessaloniki is the lead sponsor of 282 studies on the registry; 55 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
4 Years to 18 Years
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Probability sample

Study population

Children and adolescents of Greek origin, aged 4-18 years old with a diagnosis of Hashimoto Thyroiditis and Graves Disease as well as healthy controls.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

For HT:

A positive titers of antithyroid peroxidase (anti-TPO) or antithyroglobulin (anti-Tg) antibodies and at least one of:

  • Abnormal thyroid function that requires substitution treatment with L-thyroxine (TSH > 5 μIU/ml and decreased or normal levels of fT4 or fT3)
  • Increased volume of thyroid gland (goiter)
  • Morphological changes on ultrasound of the thyroid gland

For GD:

  • A positive titers of thyroid stimulating antibodies (anti-TSI) and
  • Decreased TSH levels and increased levels of fT4 or fT3

For Controls:

  • Otherwise healthy children and adolescents, age- and gender-matched with patients
  • Absence of previously known chronic disease of aetiology or atopy (including those with a history of chronic treatment with antihistamines, anti-inflammatory, or anti-epileptic drugs)
  • Absence of a family history of autoimmune disease in first-degree relatives

Exclusion criteria

Exclusion Criteria:

  • Not Caucasian origin or affinity among participants
  • Age of diagnosis above 18 years
  • Disease duration below 3 months
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Autoimmune disease

A condition in which the immune system attacks the body’s own tissues, such as rheumatoid arthritis, lupus, psoriasis, type 1 diabetes or inflammatory bowel disease.

Immunotherapy studies often leave out active autoimmune disease, and some name exceptions, such as thyroid disease on replacement hormone. Check the exceptions this study lists.

Corticosteroids (steroids)

Anti-inflammatory medicines such as prednisone, prednisolone and dexamethasone — not the anabolic steroids used for muscle.

Studies differ in what they allow: check which steroid medicines, routes (tablets, injections, creams, inhalers, eye drops) and doses this study accepts.

05

Study design

Observational model
Case-control
Time perspective
Cross-sectional
Enrollment
110 participants (actual)
Patient registry
No
Biospecimen retention
Samples with dna

Groups and cohorts

  • Hashimoto Thyroiditis (HT)

    Children and adolescents with Hashimoto thyroiditis either hypothyroidic or euthyroidic.

  • Graves Disease (GD)

    Children and adolescents with Graves Disease both those on remission and under antihyroid medication.

  • Controls (C)

    Healthy individuals matched for gender and age without 1) any autoimmune disease 2) family history of autoimmune disease in the first degree relatives

06

What researchers measure

Primary outcomes

  1. DNA methylation status of CpGs within gene promoters

    Percentage of DNA methylation of CpGs within the CD40L, FOXP3, CTLA4, PTPN22, IL2RA, FCRL3 and HLADRB1 promoter genes in White Blood Cells (WBCs).

    Time frame: 1 month

Secondary outcomes

  1. Age

    Age of each participant

    Time frame: 1 day

  2. Age of disease onset

    Age of disease diagnosis

    Time frame: 1 day

  3. Sex

    Male or female

    Time frame: 1 day

  4. Body mass index

    Weight in kg / height in m \* height in m

    Time frame: 1 day

  5. Pubertal stage

    Prepubertal or pubertal stage

    Time frame: 1 day

  6. Antibodies titre

    Titre of antiTPO, antiTg, anti-TSI antibodies in blood

    Time frame: 1 day

  7. Thyroid volume

    Volume of the thyroid gland in total (both lobes)

    Time frame: 1 day

  8. Treatment dose

    Dose of Levothyroxine/thiamazole per kg of body weight /per day (if applicable)

    Time frame: 1 day

  9. B12

    Levels of B12 in blood

    Time frame: 1 day

  10. Folic acid

    Levels of folic acid in blood

    Time frame: 1 day

  11. IgA, IgG, IgM, IgE immunoglobulins

    Levels of IgA, IgG, IgM, IgE immunoglobulins in blood

    Time frame: 1 day

  12. History of infections

    Number of previous febrile viral /bacterial infections per year

    Time frame: 1 day

  13. History of medications

    Number of previous medications per year

    Time frame: 1 day

  14. Other autoimmune diseases

    Diagnosis of co-existing autoimmune disease (except autoimmune thyroid disease)

    Time frame: 1 day

  15. Family history of autoimmune thyroid (or other) disease

    Family history of autoimmune thyroid (or other) disease or not

    Time frame: 1 day

  16. Parental educational level

    Elementary school, high school or university graduate

    Time frame: 1 day

  17. Type of Residence

    Urban or rural residence

    Time frame: 1 day

  18. Parental smoking

    Total number of cigarettes per day during their child's life separately for each parent (if applicable)

    Time frame: 1 day

  19. Previous births

    Number of previous births

    Time frame: 1 day

  20. Month of birth

    Month of birth (from January to December)

    Time frame: 1 day

  21. Delivery type

    Cesarean section or vaginal delivery

    Time frame: 1 day

  22. Birth weight

    Birth weight

    Time frame: 1 day

  23. Gestation duration

    Duration of pregnancy

    Time frame: 1 day

  24. Medications during pregnancy

    Number of medications of any type received during pregnancy (if applicable)

    Time frame: 1 day

  25. Maternal smoking during pregnancy

    Total number of cigarettes per day during pregnancy (if applicable)

    Time frame: 1 day

  26. Maternal alcohol consumption during pregnancy

    Total number of glasses of alcohol consumption per day during pregnancy (if applicable)

    Time frame: 1 day

  27. Pre-eclampsia (during pregnancy)

    Diagnosis of pre-eclampsia (during pregnancy) or not

    Time frame: 1 day

  28. Gestational diabetes (during pregnancy)

    Diagnosis of gestational diabetes (during pregnancy) or not

    Time frame: 1 day

  29. Vaginal bleeding (during pregnancy)

    Presence of vaginal bleeding (during pregnancy) or not

    Time frame: 1 day

  30. Maternal febrile infection (during pregnancy)

    Diagnosis of maternal febrile infection (during pregnancy) or not

    Time frame: 1 day

  31. Duration of breastfeeding

    Duration of breastfeeding until discontinuance

    Time frame: 1 day

  32. History of phototherapy

    History of phototherapy during neonatal period (or not)

    Time frame: 1 day

  33. APGAR score

    APGAR score at 1st and 5th min of life

    Time frame: 1 day

07

Study locations

1 site
  • Unit of Pediatric Endocrinology, Diabetes and Metabolism-4th Department of Pediatrics, Medical School of Aristotle University of Thessaloniki
    Thessaloniki, 56403, Greece
08

References and documents

Publications

  • Akirav EM, Lebastchi J, Galvan EM, Henegariu O, Akirav M, Ablamunits V, Lizardi PM, Herold KC. Detection of beta cell death in diabetes using differentially methylated circulating DNA. Proc Natl Acad Sci U S A. 2011 Nov 22;108(47):19018-23. doi: 10.1073/pnas.1111008108. Epub 2011 Nov 9. PubMed 22074781 ↗
  • Barrett JC, Clayton DG, Concannon P, Akolkar B, Cooper JD, Erlich HA, Julier C, Morahan G, Nerup J, Nierras C, Plagnol V, Pociot F, Schuilenburg H, Smyth DJ, Stevens H, Todd JA, Walker NM, Rich SS; Type 1 Diabetes Genetics Consortium. Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes. Nat Genet. 2009 Jun;41(6):703-7. doi: 10.1038/ng.381. Epub 2009 May 10. PubMed 19430480 ↗
  • Cooper JD, Simmonds MJ, Walker NM, Burren O, Brand OJ, Guo H, Wallace C, Stevens H, Coleman G; Wellcome Trust Case Control Consortium; Franklyn JA, Todd JA, Gough SC. Seven newly identified loci for autoimmune thyroid disease. Hum Mol Genet. 2012 Dec 1;21(23):5202-8. doi: 10.1093/hmg/dds357. Epub 2012 Aug 24. PubMed 22922229 ↗
  • Dang MN, Buzzetti R, Pozzilli P. Epigenetics in autoimmune diseases with focus on type 1 diabetes. Diabetes Metab Res Rev. 2013 Jan;29(1):8-18. doi: 10.1002/dmrr.2375. PubMed 23180441 ↗
  • Davies TF, Latif R, Yin X. New genetic insights from autoimmune thyroid disease. J Thyroid Res. 2012;2012:623852. doi: 10.1155/2012/623852. Epub 2012 Feb 28. PubMed 22530160 ↗
  • Fradin D, Le Fur S, Mille C, Naoui N, Groves C, Zelenika D, McCarthy MI, Lathrop M, Bougneres P. Association of the CpG methylation pattern of the proximal insulin gene promoter with type 1 diabetes. PLoS One. 2012;7(5):e36278. doi: 10.1371/journal.pone.0036278. Epub 2012 May 2. PubMed 22567146 ↗
  • Huber A, Menconi F, Corathers S, Jacobson EM, Tomer Y. Joint genetic susceptibility to type 1 diabetes and autoimmune thyroiditis: from epidemiology to mechanisms. Endocr Rev. 2008 Oct;29(6):697-725. doi: 10.1210/er.2008-0015. Epub 2008 Sep 5. PubMed 18776148 ↗
  • Lu Q. The critical importance of epigenetics in autoimmunity. J Autoimmun. 2013 Mar;41:1-5. doi: 10.1016/j.jaut.2013.01.010. Epub 2013 Feb 1. PubMed 23375849 ↗
  • MacFarlane AJ, Strom A, Scott FW. Epigenetics: deciphering how environmental factors may modify autoimmune type 1 diabetes. Mamm Genome. 2009 Sep-Oct;20(9-10):624-32. doi: 10.1007/s00335-009-9213-6. Epub 2009 Aug 22. PubMed 19697079 ↗
  • Quintero-Ronderos P, Montoya-Ortiz G. Epigenetics and autoimmune diseases. Autoimmune Dis. 2012;2012:593720. doi: 10.1155/2012/593720. Epub 2012 Mar 22. PubMed 22536485 ↗
  • Rakyan VK, Beyan H, Down TA, Hawa MI, Maslau S, Aden D, Daunay A, Busato F, Mein CA, Manfras B, Dias KR, Bell CG, Tost J, Boehm BO, Beck S, Leslie RD. Identification of type 1 diabetes-associated DNA methylation variable positions that precede disease diagnosis. PLoS Genet. 2011 Sep;7(9):e1002300. doi: 10.1371/journal.pgen.1002300. Epub 2011 Sep 29. PubMed 21980303 ↗
  • Weetman AP. Determinants of autoimmune thyroid disease. Nat Immunol. 2001 Sep;2(9):769-70. doi: 10.1038/ni0901-769. No abstract available. PubMed 11526381 ↗
  • Yin X, Latif R, Tomer Y, Davies TF. Thyroid epigenetics: X chromosome inactivation in patients with autoimmune thyroid disease. Ann N Y Acad Sci. 2007 Sep;1110:193-200. doi: 10.1196/annals.1423.021. PubMed 17911434 ↗
09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Ran from Sep 2014 to primary completion in Sep 2016, 24 months.

How these figures are worked out, and which studies are left out of them.

Registered
Dec 23, 2014
First posted
Jul 8, 2015
StartActual
Sep 2014
Primary completionActual
Sep 2016
CompletionActual
Apr 2018
Last update
Sep 26, 2019
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Sep 26, 2019, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT02491567
Responsible party
Assimina Galli-Tsinopoulou (PROFESSOR, Aristotle University Of Thessaloniki) — Principal investigator
First posted
Jul 8, 2015
Start date
Sep 2014
Primary completion
Sep 2016
Completion
Apr 2018
Last update
Sep 26, 2019

Study contacts

Assimina Galli-Tsinopoulou, Professor
principal investigator · Medical School, Aristotle University of Thessaloniki

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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