Evidence map›Paper›PMID 28941965›Full record

ArticleJournal of autoimmunity2018

Gestational respiratory infections interacting with offspring HLA and CTLA-4 modifies incident β-cell autoantibodies.

Kristian F Lynch, Hye-Seung Lee, Carina Törn, Kendra Vehik, Jeffrey P Krischer, Helena Elding Larsson, Michael J Haller, William A Hagopian, Marian J Rewers, Jin-Xiong She and 8 more

Open access · greenAbstract read
In one paragraph

Article in Journal of autoimmunity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Observational
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  10. Breakdown and Repair of Peripheral Immune Tolerance in Type 1 Diabetes.Cold Spring Harbor perspectives in medicine · 2024
    Review
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  18. Observational
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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

18 authors at 11 institutions in 4 countries.

Kristian F LynchHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA. Electronic address: Kristian.Lynch@epi.usf.edu.
Hye-Seung LeeHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.
Carina TörnDepartment of Clinical Sciences Malmö, Lund University/CRC, Skåne University Hospital SUS, Malmö, Sweden.
Kendra VehikHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.
Jeffrey P KrischerHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.
Helena Elding LarssonDepartment of Clinical Sciences Malmö, Lund University/CRC, Skåne University Hospital SUS, Malmö, Sweden.
Michael J HallerDepartment of Pediatrics, University of Florida Gainesville, Gainesville, FL, USA.
William A HagopianPacific Northwest Diabetes Research Institute, Seattle, WA, USA.
Marian J RewersBarbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, CO, USA.
Jin-Xiong SheCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, USA.
Olli G SimellDepartment of Pediatrics, Turku University Hospital, Turku, Finland.
Jorma ToppariDepartment of Pediatrics, Turku University Hospital, Turku, Finland; Department of Physiology, Institute of Biomedicine, University of Turku, Turku, Finland.
Anette-G ZieglerInstitute of Diabetes Research, Helmholtz Zentrum München, Neuherberg, Germany; Klinikum rechts der Isar, Technische Universität München, Neuherberg, Germany; Forschergruppe Diabetes e.V., Neuherberg, Germany.
Beena AkolkarNational Institute of Diabetes & Digestive & Kidney Diseases, Bethesda, MD, USA.
Heikki HyötyDepartment of Virology, Faculty of Medicine and Lifesciences, University of Tampere, Tampere, Finland; Fimlab Laboratories, Pirkannmaa Hospital District, Tampere, Finland.
Ezio BonifacioCenter for Regenerative Therapies Dresden, Dresden University of Technology, Dresden, Germany.
Åke LernmarkDepartment of Clinical Sciences Malmö, Lund University/CRC, Skåne University Hospital SUS, Malmö, Sweden.
TEDDY Study Group
University of South Florida · USLund University · SETurku University Hospital · FIAugusta University · USHelmholtz Zentrum München · DENational Institute of Diabetes and Digestive and Kidney Diseases · USPacific Northwest Diabetes Research Institute · USTampere University Hospital · FITechnische Universität Dresden · DEUniversity of Colorado Anschutz Medical Campus · USUniversity of Florida · US

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
Data Coordinating CenterU01DK063790 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2002 to 2006
$50.1M
Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Sakeneh Zraika · 1986 to 2026
$41.4M
Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
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
NCATS NIH HHS UL1 TR000064NCATS NIH HHS UL1 TR001082NCATS NIH HHS UL1 TR001427NIDDK NIH HHS HHSN267200700014CNIDDK NIH HHS P30 DK017047NIDDK 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 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

β-cell autoantibodies against insulin (IAA), GAD65 (GADA) and IA-2 (IA-2A) precede onset of childhood type 1 diabetes (T1D). Incidence of the first appearing β-cell autoantibodies peaks at a young age and is patterned by T1D-associated genes, suggesting an early environmental influence. Here, we tested if gestational infections and interactions with child's human leukocyte antigen (HLA) and non-HLA genes affected the appearance of the first β-cell autoantibody. Singletons of mothers without diabetes (n = 7472) with T1D-associated HLA-DR-DQ genotypes were prospectively followed quarterly through the first 4 years of life, then semiannually until age 6 years, using standardized autoantibody analyses. Maternal infections during pregnancy were assessed via questionnaire 3-4.5 months post-delivery. Polymorphisms in twelve non-HLA genes associated with the first appearing β-cell autoantibodies were included in a Cox regression analysis. IAA predominated as the first appearing β-cell autoantibody in younger children (n = 226, median age at seroconversion 1.8 years) and GADA (n = 212; 3.2 years) in children aged ≥2 years. Gestational infections were not associated with the first appearing β-cell autoantibodies overall. However, gestational respiratory infections (G-RI) showed a consistent protective influence on IAA (HR 0.64, 95% CI 0.45-0.91) among CTLA4-(AG, GG) children (G-RI*CTLA4 interaction, p = 0.002). The predominant associations of HLA-DR-DQ 4-8/8-4 with IAA and HLA-DR-DQ 3-2/3-2 with GADA were not observed if a G-RI was reported (G-RI*HLA-DR-DQ interaction, p = 0.03). The role of G-RI may depend on offspring HLA and CTLA-4 alleles and supports a bidirectional trigger for IAA or GADA as a first appearing β-cell autoantibody in early life.

Indexed as

AutoantibodiesCTLA-4 AntigenFemaleGestational AgeGlutamate DecarboxylaseHLA-DQ AntigensHLA-DR AntigensHumansInfantInsulinInsulin-Secreting CellsMalePolymorphism, GeneticPregnancyPrenatal Exposure Delayed EffectsReceptor-Like Protein Tyrosine Phosphatases, Class 8AutoantibodiesCTLA-4 AntigenCTLA4 protein, humanGlutamate Decarboxylaseglutamate decarboxylase 2HLA-DQ AntigensHLA-DR AntigensInsulinPTPRN protein, humanReceptor-Like Protein Tyrosine Phosphatases, Class 8Autoimmune diabetesAutoimmunityGlutamic acid decarboxylaseHLAIA-2InsulinType 1 diabetesβ-cell autoantibodies

Identifiers

PMID28941965
PMCPMC5747989
OpenAlexW2760303551

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.