Skip to main navigation Skip to search Skip to main content

First-emerging islet autoantibody and glucose metabolism: search for type 1 diabetes subtypes

  • Olli Helminen*
  • , Tytti Pokka
  • , Susanna Aspholm
  • , Jorma Ilonen
  • , Olli G. Simell
  • , Mikael Knip
  • , Riitta Veijola
  • *Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    1 Citation (Scopus)
    11 Downloads (Pure)

    Abstract

    Objective: Subtypes in type 1 diabetes pathogenesis have been implicated based on the first-appearing autoantibody (primary autoantibody). We set out to describe the glucose metabolism in preclinical diabetes in relation to the primary autoantibody in children with HLA-conferred disease susceptibility. Design and methods: Dysglycemic markers are defined as a 10% increase in HbA1c in a 3–12 months interval or HbA1c ≥5.9% (41 mmol/mol) in two consecutive samples, impaired fasting glucose or impaired glucose tolerance, or a random plasma glucose value ≥7.8 mmol/L. A primary autoantibody could be detected in 295 children who later developed at least 1 additional biochemical autoantibody. These children were divided into three groups: insulin autoantibody (IAA) multiple (n = 143), GAD antibody (GADA) multiple (n = 126) and islet antigen 2 antibody (IA-2A) multiple (n = 26). Another 229 children seroconverted to positivity only for a single biochemical autoantibody and were grouped as IAA only (n = 87), GADA only (n = 114) and IA-2A only (n = 28). Results: No consistent differences were observed in selected autoantibody groups during the preclinical period. At diagnosis, children with IAA only showed the highest HbA1c (P < 0.001 between groups) and the highest random plasma glucose (P = 0.005 between groups). Children with IA-2A only progressed to type 1 diabetes as frequently as those with IA-2A multiple (46% vs 54%, P = 0.297) whereas those with IAA only or GADA only progressed less often than children with IAA multiple or GADA multiple (22% vs 62% (P < 0.001) and 7% vs 43% (P < 0.001)), respectively. Conclusions: The phenotype of preclinical diabetes defined by the primary autoantibody is noassociated with any discernible differences in glucose metabolism before the clinical disease manifestation.

    Original languageEnglish
    Article numbere210632
    Number of pages11
    JournalEndocrine Connections
    Volume11
    Issue number9
    DOIs
    Publication statusPublished - 2022
    Publication typeA1 Journal article-refereed

    Funding

    This work was supported by the following grants. 阀nternational: JDRF 阀nternational (grants 4-1998-274, 4-1999-731, 4-2001-435); European Union (grant BMH4-CT98-3314); Novo Nordisk Foundation. Finland: Academy of Finland (Centre of Excellence in Molecular Systems 阀mmunology and Physiology Research 2012-2017, Decision No. 250114); TEKES National Technology Agency of Finland; Special Research Funds for University Hospitals in Finland; Finnish Office for Health Technology Assessment; Diabetes Research Foundation, Finland; Sigrid Juselius Foundation; Emil Aaltonen Foundation; Jalmari and Rauha Ahokas Foundation; Signe and Ane Gyllenberg Foundation; the Research Foundation of Orion Corporation; Foundation for Pediatric Research; Alma and KA Snellman Foundation; Päivikki and Sakari Sohlberg Foundation, the Finnish Medical Foundation and Finnish Cultural Foundation, Northern Ostrobothnia Regional Fund.

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • dysglycemia
    • glucose metabolism
    • islet autoantibodies
    • preclinical type 1 diabetes
    • type 1 diabetes

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Internal Medicine
    • Endocrinology, Diabetes and Metabolism
    • Endocrinology

    Fingerprint

    Dive into the research topics of 'First-emerging islet autoantibody and glucose metabolism: search for type 1 diabetes subtypes'. Together they form a unique fingerprint.

    Cite this