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Published on: May 6, 2013
Genetic and perinatal factors as risk for childhood type 1 diabetes
Karin Larsson1, Helena Elding-Larsson, Elisabeth Cederwall
1Department of Paediatrics, Kristianstad Hospital, Kristianstad, Sweden. karin.larsson@litcon.se
Insights
Gestational events may trigger type 1 diabetes autoimmunity in children. The Diabetes Prediction in Skåne (DiPiS) study prospectively analyzes pregnant mothers and newborns to identify high-risk individuals for type 1 diabetes.
Area of Science:
- Immunology
- Endocrinology
- Epidemiology
Background:
- Mechanisms linking prenatal/neonatal factors to type 1 diabetes risk remain unclear.
- Existing studies are largely retrospective, lacking population-based prospective data.
- Most children with type 1 diabetes lack a family history, necessitating broader population studies.
Purpose of the Study:
- To prospectively identify children at risk for type 1 diabetes.
- To investigate the role of gestational events in triggering beta-cell autoimmunity.
- To analyze prenatal autoimmune exposure in newborns.
Main Methods:
- The DiPiS study recruits ~10,000 pregnancies annually in Sweden.
- Maternal blood samples collected during pregnancy and delivery.
- Cord blood analyzed for HLA high-risk alleles, GADA, IA-2A, and IAA for prenatal autoimmune markers.
Main Results:
- Identified high-risk children using genetic, autoimmune, and gestational factors.
- Established a cohort for prospective analysis of disease development.
- Measured prenatal autoimmune markers in newborns.
Conclusions:
- Prospective analysis of high-risk children can test hypotheses on gestational triggers.
- Gestational events may initiate beta-cell autoimmunity preceding type 1 diabetes onset.
- Population-based studies are crucial for understanding type 1 diabetes etiology.
Abstract:
The mechanisms by which gestational infections, blood incompatibility, birth weight, mother's age and other prenatal or neonatal events increase the risk for type 1 diabetes are not understood. Studies so far have been retrospective, and there is a lack of population-based prospective studies. The possibility of identifying children at type 1 diabetes risk among first-degree relatives has resulted in prospective studies aimed at identifying postnatal events associated with the appearance of autoantibody markers for type 1 diabetes and a possible later onset of diabetes. However, the majority (85%) of new onset type 1 diabetes children do not have a first-degree relative with the disease. Population-based studies are therefore designed to prospectively analyse pregnant mothers and their offspring. One such study is DiPiS (Diabetes Prediction in Skåne), which is examining a total of about 10,000 pregnancies expected every year in the Skåne (Scania) region of Sweden that has 1.1 million inhabitants. Blood samples from all mothers in this region are obtained during pregnancy and at the time of delivery. Cord blood is analysed for HLA high-risk alleles and for autoantibodies against the 65 kD isoform of glutamic acid decarboxylase (GADA), the protein tyrosine phosphatase-related IA-2 antigen (IA-2A) and insulin (IAA) as a measure of prenatal autoimmune exposure. Identifying high-risk children by genetic, autoimmune and gestational risk factors followed by prospective analyses will make it possible to test the hypothesis that gestational events may trigger beta cell autoimmunity as a prerequisite for childhood type 1 diabetes.
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