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Meta-Immunological Profiling of Children With Type 1 Diabetes Identifies New Biomarkers to Monitor Disease Progression

  • Mario Galgani
  • Rosa Nugnes
  • Dario Bruzzese
  • Francesco Perna
  • Veronica De Rosa
  • Claudio Procaccini
  • Enza Mozzillo
  • Corrado Cilio
  • Helena Larsson
  • Åke Lernmark
  • Antonio La Cava
  • Adriana Franzese
  • Giuseppe Matarese
Publishing year: 2013
Language: English
Pages: 2481-2491
Publication/Series: Diabetes
Volume: 62
Issue: 7
Document type: Journal article
Publisher: American Diabetes Association Inc.

Abstract english

Type 1 diabetes is characterized by autoimmurte destruction of pancreatic beta-cells in genetically susceptible individuals. Triggers of islet autoimmunity, time course, and the precise mechanisms responsible for the progressive beta-cell failure are not completely understood. The recent escalation of obesity in affluent countries has been suggested to contribute to the increased incidence of type 1 diabetes. Understanding the link between metabolism and immune tolerance could lead to the identification of new markers for the monitoring of disease onset and progression. We studied several immune cell subsets and factors with high metabolic impact as markers associated with disease progression in high-risk subjects and type 1 diabetic patients at onset and at 12 and 24 months after diagnosis. A multiple correlation matrix among different parameters was evaluated statistically and assessed visually on two-dimensional graphs. Markers to predict residual beta-cell function up to 1 year after diagnosis were identified in multivariate logistic regression models. The meta-immunological profile changed significantly over time in patients, and a specific signature that was associated with worsening disease was identified. A multivariate logistic regression model measuring age, BMI, fasting C-peptide, number of circulating CD3(+)CD16(+)CD56(+) cells, and the percentage of CD1c(+)CD19(-)CD14(-)CD303(-) type 1 myeloid dendritic cells at disease onset had a significant predictive value. The identification of a specific meta-immunological profile associated with disease status may contribute to our understanding of the basis of diabetes progression.


  • Endocrinology and Diabetes


  • Diabetes - Cellular Autoimmunity
  • Paediatric Endocrinology
  • Diabetes and Celiac Unit
  • ISSN: 1939-327X
E-mail: ake [dot] lernmark [at] med [dot] lu [dot] se

Principal investigator

Diabetes and Celiac Unit

+46 40 39 19 01

+46 70 616 47 79


Jan Waldenströms gata 35, Malmö


Lund University Diabetes Centre, CRC, SUS Malmö, Jan Waldenströms gata 35, House 91:12. SE-214 28 Malmö. Telephone: +46 40 39 10 00