Evidence map›Paper›PMID 33404683›Full record

ArticleDiabetologia2021

First-appearing islet autoantibodies for type 1 diabetes in young children: maternal life events during pregnancy and the child's genetic risk.

Suzanne Bennett Johnson, Kristian F Lynch, Roswith Roth, Markus Lundgren, Hemang M Parikh, Beena Akolkar, William Hagopian, Jeffrey Krischer, Marian Rewers, Jin-Xiong She and 4 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Diabetologia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 10 institutions in 5 countries.

Suzanne Bennett JohnsonDepartment of Behavioral Sciences and Social Medicine, Florida State University, Tallahassee, FL, USA. suzanne.johnson@med.fsu.edu.
Kristian F LynchHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA. Kristian.Lynch@epi.usf.edu.ORCID 0000-0002-4310-4163
Roswith RothInstitute for Psychology, Graz University, Graz, Austria.ORCID 0000-0003-3955-2198
Markus LundgrenDepartment of Clinical Sciences, Lund University/CRC, Skåne University Hospital SUS, Malmo, Sweden.ORCID 0000-0001-6394-7689
Hemang M ParikhHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.ORCID 0000-0002-9076-6709
Beena AkolkarNational Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, USA.ORCID 0000-0002-2351-5942
William HagopianPacific Northwest Research Institute, Seattle, WA, USA.ORCID 0000-0003-2979-0475
Jeffrey KrischerHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.ORCID 0000-0003-4526-888X
Marian RewersBarbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, CO, USA.ORCID 0000-0003-3829-9207
Jin-Xiong SheCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, USA.ORCID 0000-0002-0966-6381
Jorma ToppariDepartment of Pediatrics, Turku University Hospital, Turku, Finland.ORCID 0000-0003-2228-334X
Anette G ZieglerInstitute of Diabetes Research, Helmholtz Zentrum München, and Klinikum rechts der Isar, Technische Universität München, and Forschergruppe Diabetes e.V., Neuherberg, Germany.ORCID 0000-0002-6290-5548
Åke LernmarkDepartment of Clinical Sciences, Lund University/CRC, Skåne University Hospital SUS, Malmo, Sweden.ORCID 0000-0003-1735-0499
TEDDY Study Group
University of South Florida · USLund University · SEAugusta University · USFlorida State University · USNational Institute of Diabetes and Digestive and Kidney Diseases · USPacific Northwest Diabetes Research Institute · USTUM Klinikum · DEUniversity of Colorado Anschutz Medical Campus · USUniversity of Graz · ATUniversity of Turku · FI

Funding

Data Coordinating Center (DCC)for the Consortium for Identification of EnvironmenUC4DK095300 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2011 to 2011
$56.0M
NIH Prior Approval Process ProfessionalUL1TR002535 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2018 to 2022
$51.1M
Data Coordinating CenterU01DK063790 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2002 to 2006
$50.1M
Follow-up on Subjects, Integrative Data Analysis and Measurement of Viral Antibodies in The Environmental Determinants of Diabetes in The Young Study (TEDDY)U01DK124166 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2020 to 2022
$31.1M
NIDDK Follow-up on Subjects and Immunological Assessments in The Environmental Determinants of Diabetes In The Young Study (TEDDY) (UC4)UC4DK117483 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2017 to 2020
$30.4M
Establish a Data Coordinating Center (DCC) for the Consortium for Identification UC4DK100238 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2014 to 2014
$28.9M
The Study of Epigenetics and Infections in The Environmental Determinants of Diabetes in the Young (TEDDY)UC4DK112243 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2016 to 2016
$27.0M
Data Coordinating Center (DCC) for the Consortium for Identification of Environmental Determinants of Diabetes in the Young (TEDDY) StudyUC4DK106955 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2015 to 2015
$20.0M
The Environmental Determinants of Diabetes in Young (TEDDY0U01DK063863 · NIDDK · HOSPITAL DISTRICT OF SOUTHWEST FINLAND · PI TOPPARI, JORMA · 2003 to 2022
$13.5M
The Environmental Triggers of Diabetes (TEDDY) in SwedenU01DK063861 · NIDDK · UNIVERSITY OF WASHINGTON · PI LERNMARK, AKE · 2003 to 2022
$13.4M
THE TEDDY STUDY - COLORADO CLINICAL CENTERU01DK063821 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J · 2003 to 2022
$12.3M
The TEDDY Study: Georgia/Florida Clinical CenterU01DK063865 · NIDDK · MEDICAL COLLEGE OF GEORGIA (MCG) · PI MCINDOE, RICHARD A. · 2003 to 2022
$12.3M
NCATS NIH HHS UL1 TR000064NCATS NIH HHS UL1 TR002535NIDDK NIH HHS HHSN267200700014CNIDDK NIH HHS P30 DK116073NIDDK NIH HHS U01 DK063790NIDDK NIH HHS U01 DK063821NIDDK NIH HHS U01 DK063829NIDDK NIH HHS U01 DK063836NIDDK NIH HHS U01 DK063861NIDDK NIH HHS U01 DK063863NIDDK NIH HHS U01 DK063865NIDDK NIH HHS U01 DK124166NIDDK NIH HHS UC4 DK063821NIDDK NIH HHS UC4 DK063829NIDDK NIH HHS UC4 DK063836NIDDK NIH HHS UC4 DK063861NIDDK NIH HHS UC4 DK063863NIDDK NIH HHS UC4 DK063865NIDDK NIH HHS UC4 DK095300NIDDK NIH HHS UC4 DK100238NIDDK NIH HHS UC4 DK106955NIDDK NIH HHS UC4 DK112243NIDDK NIH HHS UC4 DK117483
6 · The paper itself

Abstract

aims/hypothesisPsychological stress has long been considered a possible trigger of type 1 diabetes, although prospective studies examining the link between psychological stress or life events during pregnancy and the child's type 1 diabetes risk are rare. The objective of this study was to examine the association between life events during pregnancy and first-appearing islet autoantibodies (IA) in young children, conditioned by the child's type 1 diabetes-related genetic risk.

methodsThe IA status of 7317 genetically at-risk The Environmental Determinants of Diabetes in the Young (TEDDY) participants was assessed every 3 months from 3 months to 4 years, and bi-annually thereafter. Reports of major life events during pregnancy were collected at study inception when the child was 3 months of age and placed into one of six categories. Life events during pregnancy were examined for association with first-appearing insulin (IAA) (N = 222) or GAD (GADA) (N = 209) autoantibodies in the child until 6 years of age using proportional hazard models. Relative excess risk due to interaction (RERI) by the child's HLA-DR and SNP profile was estimated.

resultsOverall, 65% of mothers reported a life event during pregnancy; disease/injury (25%), serious interpersonal (28%) and job-related (25%) life events were most common. The association of life events during pregnancy differed between IAA and GADA as the first-appearing autoantibody. Serious interpersonal life events correlated with increased risk of GADA-first only in HLA-DR3 children with the BACH2-T allele (HR 2.28, p < 0.0001), an additive interaction (RERI 1.87, p = 0.0004). Job-related life events were also associated with increased risk of GADA-first among HLA-DR3/4 children (HR 1.53, p = 0.04) independent of serious interpersonal life events (HR 1.90, p = 0.002), an additive interaction (RERI 1.19, p = 0.004). Job-related life events correlated with reduced risk of IAA-first (HR 0.55, p = 0.004), particularly in children with the BTNL2-GG allele (HR 0.48; 95% CI 0.31, 0.76). CONCLUSIONS/

interpretationSpecific life events during pregnancy are differentially related to IAA vs GADA as first-appearing IA and interact with different HLA and non-HLA genetic factors, supporting the concept of different endotypes underlying type 1 diabetes. However, the mechanisms underlying these associations remain to be discovered. Life events may be markers for other yet-to-be-identified factors important to the development of first-appearing IA.

Indexed as

Life Change EventsMothersPolymorphism, Single NucleotidePrenatal Exposure Delayed EffectsAge FactorsAutoantibodiesBiomarkersChildChild, PreschoolDiabetes Mellitus, Type 1EuropeFemaleGene-Environment InteractionGenetic Predisposition to DiseaseHLA-DR AntigensHumansAutoantibodiesBiomarkersHLA-DR AntigensBACH2 single nucleotide polymorphismBTNL2 single nucleotide polymorphismGAD autoantibodiesHLA-DR-DQ haplogenotypeInsulin autoantibodiesIslet autoimmunityPrenatal life eventsPsychosocial stressType 1 diabetes

Identifiers

PMID33404683
PMCPMC7880544
OpenAlexW3118431863

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.