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Genetic and perinatal factors as risk for childhood type 1 diabetes

Larsson, K ; Larsson, Helena LU ; Cederwall, E ; Kockum, K ; Sjöblad, Sture LU ; Lindberg, Bengt LU ; Lernmark, Barbro LU ; Cilio, Corrado LU ; Ivarsson, Sten LU and Lernmark, Åke LU orcid (2004) In Diabetes/Metabolism Research & Reviews 20(6). p.429-437
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 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... (More)
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 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 Skane), which is examining a total of about 10 000 pregnancies expected every year in the Skane (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. Copyright (C) 2004 John Wiley Sons, Ltd. (Less)
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author
; ; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
transplacental transfer, gestational infections, HLA, autoimmunity, islet autoantibodies, blood incompatibility
in
Diabetes/Metabolism Research & Reviews
volume
20
issue
6
pages
429 - 437
publisher
John Wiley & Sons Inc.
external identifiers
  • wos:000225850900001
  • scopus:19944399061
ISSN
1520-7552
DOI
10.1002/dmrr.506
language
English
LU publication?
yes
additional info
The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Paediatrics (013243000), Paediatrics (Lund) (013002000), Pediatrics/Urology/Gynecology/Endocrinology (013240400), Paediatric Endocrinology Research Group (013243010)
id
03b84ede-812d-4334-b87b-8d7d164d3819 (old id 258955)
date added to LUP
2016-04-01 12:27:38
date last changed
2022-05-14 22:38:49
@article{03b84ede-812d-4334-b87b-8d7d164d3819,
  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 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 Skane), which is examining a total of about 10 000 pregnancies expected every year in the Skane (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. Copyright (C) 2004 John Wiley Sons, Ltd.}},
  author       = {{Larsson, K and Larsson, Helena and Cederwall, E and Kockum, K and Sjöblad, Sture and Lindberg, Bengt and Lernmark, Barbro and Cilio, Corrado and Ivarsson, Sten and Lernmark, Åke}},
  issn         = {{1520-7552}},
  keywords     = {{transplacental transfer; gestational infections; HLA; autoimmunity; islet autoantibodies; blood incompatibility}},
  language     = {{eng}},
  number       = {{6}},
  pages        = {{429--437}},
  publisher    = {{John Wiley & Sons Inc.}},
  series       = {{Diabetes/Metabolism Research & Reviews}},
  title        = {{Genetic and perinatal factors as risk for childhood type 1 diabetes}},
  url          = {{http://dx.doi.org/10.1002/dmrr.506}},
  doi          = {{10.1002/dmrr.506}},
  volume       = {{20}},
  year         = {{2004}},
}