NCT03369821

Brief Summary

Type 1 diabetes (T1D) results from destruction of insulin-producing beta cells in the pancreas by the body's own immune system (autoimmunity). It is not fully understood what causes this type of diabetes and why there is variation in age of onset and severity between people who develop the disease. The aim of this work is to study very unusual people who develop T1D extremely young, as babies under 2 years of age (EET1D). The investigators think that, for the condition to have developed that early, they must have an unusual or extreme form of autoimmunity. Studying people with EET1D will enable us to look at exactly what goes wrong with the immune system because they have one of the most extreme forms of the disease. Much may be learned about the disease from a small number of rare individuals. The investigators aim to confirm that they have autoimmune type 1 diabetes and then try to understand how they have developed diabetes so young by studying their immune system genes, the function of their immune system, and environmental factors (such as maternal genetics) that may play a role in their development of the disease. People with diabetes diagnosed under 12 months are very rare, live all over the world. and are usually referred to Exeter for genetic testing. Individuals will be contacted via their clinician to ask for more information about their diabetes and their family history. Samples will be collected to study whether they still make any of their own insulin and whether they make specific antibodies against their beta cells in the pancreas. Separately, their immune system will be studied in depth using immune cells isolated from a blood sample. These cells will undergo cutting edge techniques by Dr Tim Tree at King's College London, by Professor Bart Roep at Leiden University Medical Center, Netherlands, and Dr Cate Speake, Benaroya Research Institute, Seattle (USA). Some of these tests have never been used in people of young ages around the world, so an aim of this project will be to develop methods that can be used to study people even if they live far away. Additional funding extended the study for a further 3 years (Phase 2) to include recruitment of infants without diabetes, aged 0-6 years, as controls to enable assessment of how the abnormalities found in autoimmune and non-autoimmune diabetes compare to normal early life development of the immune system. An additional funding award extended the study (Phase 3) until November 2028, to advance the EXE-T1D program into its third phase, building on major discoveries from phases 1 and 2 to identify, validate, and target immune pathways that drive extremely early-onset type 1 diabetes (eeT1D) and are likely relevant to T1D across all ages. eeT1D cases, diagnosed within the first two years of life, represent particularly aggressive onset of beta-cell autoimmunity. They offer a unique lens to uncover mechanisms of immune dysregulation, informed by both polygenic and monogenic causes. The central aim is to move from pathway discovery to demonstration of novel druggable targets with potential to delay or prevent T1D onset across all ages.

Trial Health

80
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
300

participants targeted

Target at P75+ for all trials

Timeline
31mo left

Started Sep 2017

Longer than P75 for all trials

Geographic Reach
3 countries

4 active sites

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress77%
Sep 2017Nov 2028

Study Start

First participant enrolled

September 19, 2017

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

November 16, 2017

Completed
26 days until next milestone

First Posted

Study publicly available on registry

December 12, 2017

Completed
10.9 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 31, 2028

Expected
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

November 30, 2028

Last Updated

December 19, 2025

Status Verified

December 1, 2025

Enrollment Period

11.1 years

First QC Date

November 16, 2017

Last Update Submit

December 12, 2025

Conditions

Keywords

type 1 diabetesmonogenic diabetesautoimmune diabetesearly-onset autoimmune diabetesbeta cell (β-cell) destructiontype 1 diabetes genetic riskextremely early-onset Type 1 diabetesneonatal diabetes

Outcome Measures

Primary Outcomes (1)

  • Measure beta cell function in EET1D compared to T1D, NDM and non-diabetic controls.

    C-peptide and GAD, IA2, ZnT8 autoantibody measurement

    Within 12 months of last participant's final visit.

Secondary Outcomes (3)

  • Immune phenotyping in EET1D compared to T1D, NDM and non-diabetic controls.

    Within 12 months of last participant's final visit.

  • Difference in immune gene expression

    Within 12 months of last participant's final visit.

  • Association of maternal and paternal non-inherited HLA alleles with EET1D

    Within 12 months of last participant's final visit.

Study Arms (5)

Study 1: Existing EET1D (Case)

* Aged 0 to 70 years * Clinical diagnosis of diabetes \<24 months (+ evidence of WHO diabetes criteria) * Negative genetic test for mutations causing non-autoimmune neonatal diabetes if diagnosed \<12 months * Type 1 diabetes genetic risk score \>50th centile of T1D reference group, or monogenic cause of T1D (e.g. STAT3 or FOXP3 mutation).

Diagnostic Test: Beta Cell Loss and Immune FunctionOther: Immune Function with RNAseq

Study 1: T1D (Control)

* Age 0-70 years (matched to above) * Clinical diagnosis of T1D (diagnosed age 1-20 years) * Insulin treated from diagnosis.

Diagnostic Test: Beta Cell Loss and Immune FunctionOther: Immune Function with RNAseq

Study 2: Newly diagnosed EET1D (Case)

* Aged 0 to 24 months at recruitment * Clinical diagnosis of diabetes \<24 months (+ evidence of WHO diabetes criteria) * Negative genetic test for mutations causing non-autoimmune neonatal diabetes * Type 1 diabetes genetic risk score \>50th centile of T1D reference group, or monogenic cause of T1D (e.g. STAT3 or FOXP3 mutation)

Diagnostic Test: Beta Cell Loss and Immune FunctionOther: Immune Function with RNAseq

Monogenic / NDM (Control)

* Diagnosis of diabetes \<24 months * Age 0 to 24 months at recruitment * Diagnosis of Monogenic / NDM (confirmed by Exeter Molecular Genetics Laboratory).

Diagnostic Test: Beta Cell Loss and Immune FunctionOther: Immune Function with RNAseq

Without diabetes (Control)

* Aged 0-6 years * Attending specified participating hospital sites for elective surgery, including but not limited to: inguinal hernia repair, umbilical/midline hernia repair, orchidopexy, gastrostomy insertion/change, hypospadias repair, cleft palate repair, excision of accessory digit, laryngoscopy, adenoidectomy, tonsillectomy, MRI under general anaesthesia, eye surgery. Should recruitment be slower than anticipated, we would recruit children with congenital non-immune thyroid disease when they attend paediatric clinic for blood draw.

Diagnostic Test: Beta Cell Loss and Immune FunctionOther: Immune Function with RNAseq

Interventions

Beta cell loss (measured by serum/urine C-peptide), islet-specific autoantibodies, T1D risk genes and autoreactive CD8 T cells.

Monogenic / NDM (Control)Study 1: Existing EET1D (Case)Study 1: T1D (Control)Study 2: Newly diagnosed EET1D (Case)Without diabetes (Control)

Immune function (measuring autoantibodies, autoreactive CD8 T cells and RNAseq of immune genes).

Monogenic / NDM (Control)Study 1: Existing EET1D (Case)Study 1: T1D (Control)Study 2: Newly diagnosed EET1D (Case)Without diabetes (Control)

Eligibility Criteria

AgeUp to 70 Years
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

EET1D: i) diagnosis of diabetes \<24 months ii) exclusion of mutation in all 23 monogenic non-autoimmune neonatal diabetes genes using targeted capture Next Generation Sequencing(NGS) iii) T1D GRS within distribution of T1D reference population. iv) Diagnosis of monogenic type 1 diabetes defined as a mutation in a gene known to cause type 1 diabetes or Down's syndrome. Study 1: existing cases of any age meeting above criteria. Study 2: new cases meeting above criteria, aged \<24 months. Comparison groups: Study 1: duration-matched patients with T1D diagnosed at 1-20 years of age. Study 2: Age- \& duration-matched controls monogenic/NDM (confirmed by Exeter Molecular Genetics Laboratory) Non-diabetic controls: Aged 0-6 years without diabetes

You may qualify if:

  • Study 1:
  • EET1D
  • Aged 0 to 70 years
  • Clinical diagnosis of diabetes \<24 months (+ evidence of WHO diabetes criteria)
  • Negative genetic test for mutations causing non-autoimmune neonatal diabetes if diagnosed \<12 months
  • Type 1 diabetes genetic risk score \>50th centile of T1D reference group, or monogenic cause of T1D.
  • T1D Controls
  • Age 0-70 years (matched to above)
  • Clinical diagnosis of T1D (diagnosed age 1-20 years)
  • Insulin treated from diagnosis.
  • Monogenic / NDM controls
  • Diagnosis of diabetes \<12 months
  • Diagnosis of monogenic / NDM (confirmed by Exeter Molecular Genetics Laboratory).
  • Study 2:
  • EET1D
  • +11 more criteria

You may not qualify if:

  • Study 1:
  • Aged \>70 years
  • No diagnosis of diabetes
  • MODY (e.g. caused by HNF1A/HNF4A/HNF1B/GCK mutations), type 2 diabetes or diabetes related to pancreatic insufficiency or syndromic diabetes
  • Intercurrent illness at time of sampling for PBMCs (see below).
  • Study 2:
  • Aged \>24 months
  • Clinical diagnosis of diabetes \>24 months
  • Intercurrent illness at time of sampling for PBMCs or RNA (see below).
  • Non-diabetic controls:
  • Aged \>6 years
  • Diagnosis of diabetes or other autoimmune condition
  • Known immunological disorder
  • On immunosuppressive medication
  • Ongoing infections/sepsis
  • +11 more criteria

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (4)

Benaroya Research Institute

Seattle, Washington, 98101-2795, United States

NOT YET RECRUITING

Leiden University Medical Center

Leiden, Leiden, 2333 ZA, Netherlands

NOT YET RECRUITING

Royal Devon & Exeter NHS Foundation Trust

Exeter, Devon, EX2 5DW, United Kingdom

RECRUITING

King's College London

London, SE1 9RT, United Kingdom

ACTIVE NOT RECRUITING

Related Publications (18)

  • Patel KA, Oram RA, Flanagan SE, De Franco E, Colclough K, Shepherd M, Ellard S, Weedon MN, Hattersley AT. Type 1 Diabetes Genetic Risk Score: A Novel Tool to Discriminate Monogenic and Type 1 Diabetes. Diabetes. 2016 Jul;65(7):2094-2099. doi: 10.2337/db15-1690. Epub 2016 Apr 5.

    PMID: 27207547BACKGROUND
  • Krischer JP, Lynch KF, Schatz DA, Ilonen J, Lernmark A, Hagopian WA, Rewers MJ, She JX, Simell OG, Toppari J, Ziegler AG, Akolkar B, Bonifacio E; TEDDY Study Group. The 6 year incidence of diabetes-associated autoantibodies in genetically at-risk children: the TEDDY study. Diabetologia. 2015 May;58(5):980-7. doi: 10.1007/s00125-015-3514-y. Epub 2015 Feb 10.

    PMID: 25660258BACKGROUND
  • Ellard S, Lango Allen H, De Franco E, Flanagan SE, Hysenaj G, Colclough K, Houghton JA, Shepherd M, Hattersley AT, Weedon MN, Caswell R. Improved genetic testing for monogenic diabetes using targeted next-generation sequencing. Diabetologia. 2013 Sep;56(9):1958-63. doi: 10.1007/s00125-013-2962-5. Epub 2013 Jun 15.

    PMID: 23771172BACKGROUND
  • De Franco E, Flanagan SE, Houghton JA, Lango Allen H, Mackay DJ, Temple IK, Ellard S, Hattersley AT. The effect of early, comprehensive genomic testing on clinical care in neonatal diabetes: an international cohort study. Lancet. 2015 Sep 5;386(9997):957-63. doi: 10.1016/S0140-6736(15)60098-8. Epub 2015 Jul 28.

    PMID: 26231457BACKGROUND
  • Abreu JR, Martina S, Verrijn Stuart AA, Fillie YE, Franken KL, Drijfhout JW, Roep BO. CD8 T cell autoreactivity to preproinsulin epitopes with very low human leucocyte antigen class I binding affinity. Clin Exp Immunol. 2012 Oct;170(1):57-65. doi: 10.1111/j.1365-2249.2012.04635.x.

    PMID: 22943201BACKGROUND
  • Unger WW, Velthuis J, Abreu JR, Laban S, Quinten E, Kester MG, Reker-Hadrup S, Bakker AH, Duinkerken G, Mulder A, Franken KL, Hilbrands R, Keymeulen B, Peakman M, Ossendorp F, Drijfhout JW, Schumacher TN, Roep BO. Discovery of low-affinity preproinsulin epitopes and detection of autoreactive CD8 T-cells using combinatorial MHC multimers. J Autoimmun. 2011 Nov;37(3):151-9. doi: 10.1016/j.jaut.2011.05.012. Epub 2011 Jun 1.

    PMID: 21636247BACKGROUND
  • Velthuis JH, Unger WW, Abreu JR, Duinkerken G, Franken K, Peakman M, Bakker AH, Reker-Hadrup S, Keymeulen B, Drijfhout JW, Schumacher TN, Roep BO. Simultaneous detection of circulating autoreactive CD8+ T-cells specific for different islet cell-associated epitopes using combinatorial MHC multimers. Diabetes. 2010 Jul;59(7):1721-30. doi: 10.2337/db09-1486. Epub 2010 Mar 31.

    PMID: 20357361BACKGROUND
  • Speake C, Whalen E, Gersuk VH, Chaussabel D, Odegard JM, Greenbaum CJ. Longitudinal monitoring of gene expression in ultra-low-volume blood samples self-collected at home. Clin Exp Immunol. 2017 May;188(2):226-233. doi: 10.1111/cei.12916. Epub 2017 Mar 2.

    PMID: 28009047BACKGROUND
  • Nelson JL, Gillespie KM, Lambert NC, Stevens AM, Loubiere LS, Rutledge JC, Leisenring WM, Erickson TD, Yan Z, Mullarkey ME, Boespflug ND, Bingley PJ, Gale EA. Maternal microchimerism in peripheral blood in type 1 diabetes and pancreatic islet beta cell microchimerism. Proc Natl Acad Sci U S A. 2007 Jan 30;104(5):1637-42. doi: 10.1073/pnas.0606169104. Epub 2007 Jan 23.

    PMID: 17244711BACKGROUND
  • Oram RA, Patel K, Hill A, Shields B, McDonald TJ, Jones A, Hattersley AT, Weedon MN. A Type 1 Diabetes Genetic Risk Score Can Aid Discrimination Between Type 1 and Type 2 Diabetes in Young Adults. Diabetes Care. 2016 Mar;39(3):337-44. doi: 10.2337/dc15-1111. Epub 2015 Nov 17.

    PMID: 26577414BACKGROUND
  • Gloyn AL, Pearson ER, Antcliff JF, Proks P, Bruining GJ, Slingerland AS, Howard N, Srinivasan S, Silva JM, Molnes J, Edghill EL, Frayling TM, Temple IK, Mackay D, Shield JP, Sumnik Z, van Rhijn A, Wales JK, Clark P, Gorman S, Aisenberg J, Ellard S, Njolstad PR, Ashcroft FM, Hattersley AT. Activating mutations in the gene encoding the ATP-sensitive potassium-channel subunit Kir6.2 and permanent neonatal diabetes. N Engl J Med. 2004 Apr 29;350(18):1838-49. doi: 10.1056/NEJMoa032922.

    PMID: 15115830BACKGROUND
  • McDonald TJ, Perry MH, Peake RW, Pullan NJ, O'Connor J, Shields BM, Knight BA, Hattersley AT. EDTA improves stability of whole blood C-peptide and insulin to over 24 hours at room temperature. PLoS One. 2012;7(7):e42084. doi: 10.1371/journal.pone.0042084. Epub 2012 Jul 30.

    PMID: 22860060BACKGROUND
  • McDonald TJ, Colclough K, Brown R, Shields B, Shepherd M, Bingley P, Williams A, Hattersley AT, Ellard S. Islet autoantibodies can discriminate maturity-onset diabetes of the young (MODY) from Type 1 diabetes. Diabet Med. 2011 Sep;28(9):1028-33. doi: 10.1111/j.1464-5491.2011.03287.x.

    PMID: 21395678BACKGROUND
  • Abu-Id MH. Correspondence (letter to the editor): Incidence of jaw necrosis is markedly higher. Dtsch Arztebl Int. 2011 May;108(20):356. doi: 10.3238/arztebl.2011.0356b. Epub 2011 May 20. No abstract available.

    PMID: 21655466BACKGROUND
  • Roep BO, Kleijwegt FS, van Halteren AG, Bonato V, Boggi U, Vendrame F, Marchetti P, Dotta F. Islet inflammation and CXCL10 in recent-onset type 1 diabetes. Clin Exp Immunol. 2010 Mar;159(3):338-43. doi: 10.1111/j.1365-2249.2009.04087.x. Epub 2010 Jan 5.

    PMID: 20059481BACKGROUND
  • Hope SV, Knight BA, Shields BM, Hattersley AT, McDonald TJ, Jones AG. Random non-fasting C-peptide: bringing robust assessment of endogenous insulin secretion to the clinic. Diabet Med. 2016 Nov;33(11):1554-1558. doi: 10.1111/dme.13142. Epub 2016 May 26.

    PMID: 27100275BACKGROUND
  • Day K, Song J, Absher D. Targeted sequencing of large genomic regions with CATCH-Seq. PLoS One. 2014 Oct 30;9(10):e111756. doi: 10.1371/journal.pone.0111756. eCollection 2014.

    PMID: 25357200BACKGROUND
  • Akesson K, Carlsson A, Ivarsson SA, Johansson C, Weidby BM, Ludvigsson J, Gustavsson B, Lernmark A, Kockum I. The non-inherited maternal HLA haplotype affects the risk for type 1 diabetes. Int J Immunogenet. 2009 Feb;36(1):1-8. doi: 10.1111/j.1744-313X.2008.00802.x. Epub 2008 Nov 25.

    PMID: 19055605BACKGROUND

Related Links

Biospecimen

Retention: SAMPLES WITH DNA

A blood sample and optional urine sample will be collected. In addition to a clinical blood sample analysed locally, the following samples will be collected and sent (by courier) to the Exeter Clinical Laboratories: one EDTA tube for C-peptide and autoantibody analysis and, dependent on age and weight (http://www.who.int/bulletin/volumes/89/1/10-080010/en/); one Tempus tube with 0.5 ml minimum blood sample for RNAseq; plus an optional urine sample, if collected, provided in a 20 ml boric acid tube. One to five 5 ml Sodium Heparin tubes will be sent to King's College London for PBMC extraction and cryopreservation.

MeSH Terms

Conditions

Diabetes Mellitus, Type 1

Interventions

Immune System PhenomenaBase Sequence

Condition Hierarchy (Ancestors)

Diabetes MellitusGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesAutoimmune DiseasesImmune System Diseases

Intervention Hierarchy (Ancestors)

Molecular StructureBiochemical PhenomenaChemical PhenomenaGenetic StructuresGenetic Phenomena

Study Officials

  • Richard Oram

    University of Exeter

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

November 16, 2017

First Posted

December 12, 2017

Study Start

September 19, 2017

Primary Completion (Estimated)

October 31, 2028

Study Completion (Estimated)

November 30, 2028

Last Updated

December 19, 2025

Record last verified: 2025-12

Locations