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Protocol for a nested case-control study design for omics investigations in the Environmental Determinants of Islet Autoimmunity cohort

Background: The Environmental Determinants of Islet Autoimmunity (ENDIA) pregnancy-birth cohort investigates the developmental origins of type 1 diabetes (T1D), with recruitment between 2013 and 2019. ENDIA is the first study in the world with comprehensive data and biospecimen collection during pre...

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Autores principales: Oakey, Helena, Giles, Lynne C., Thomson, Rebecca L., Lê Cao, Kim-Anh, Ashwood, Pat, Brown, James D., Knight, Emma J., Barry, Simon C., Craig, Maria E., Colman, Peter G., Davis, Elizabeth A., Hamilton-Williams, Emma E., Harrison, Leonard C., Haynes, Aveni, Kim, Ki Wook, Mallitt, Kylie-Ann, McGorm, Kelly, Morahan, Grant, Rawlinson, William D., Sinnott, Richard O., Soldatos, Georgia, Wentworth, John M., Couper, Jennifer J., Penno, Megan A. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101668/
https://www.ncbi.nlm.nih.gov/pubmed/37043275
http://dx.doi.org/10.1080/07853890.2023.2198255
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author Oakey, Helena
Giles, Lynne C.
Thomson, Rebecca L.
Lê Cao, Kim-Anh
Ashwood, Pat
Brown, James D.
Knight, Emma J.
Barry, Simon C.
Craig, Maria E.
Colman, Peter G.
Davis, Elizabeth A.
Hamilton-Williams, Emma E.
Harrison, Leonard C.
Haynes, Aveni
Kim, Ki Wook
Mallitt, Kylie-Ann
McGorm, Kelly
Morahan, Grant
Rawlinson, William D.
Sinnott, Richard O.
Soldatos, Georgia
Wentworth, John M.
Couper, Jennifer J.
Penno, Megan A. S.
author_facet Oakey, Helena
Giles, Lynne C.
Thomson, Rebecca L.
Lê Cao, Kim-Anh
Ashwood, Pat
Brown, James D.
Knight, Emma J.
Barry, Simon C.
Craig, Maria E.
Colman, Peter G.
Davis, Elizabeth A.
Hamilton-Williams, Emma E.
Harrison, Leonard C.
Haynes, Aveni
Kim, Ki Wook
Mallitt, Kylie-Ann
McGorm, Kelly
Morahan, Grant
Rawlinson, William D.
Sinnott, Richard O.
Soldatos, Georgia
Wentworth, John M.
Couper, Jennifer J.
Penno, Megan A. S.
author_sort Oakey, Helena
collection PubMed
description Background: The Environmental Determinants of Islet Autoimmunity (ENDIA) pregnancy-birth cohort investigates the developmental origins of type 1 diabetes (T1D), with recruitment between 2013 and 2019. ENDIA is the first study in the world with comprehensive data and biospecimen collection during pregnancy, at birth and through childhood from at-risk children who have a first-degree relative with T1D. Environmental exposures are thought to drive the progression to clinical T1D, with pancreatic islet autoimmunity (IA) developing in genetically susceptible individuals. The exposures and key molecular mechanisms driving this progression are unknown. Persistent IA is the primary outcome of ENDIA; defined as a positive antibody for at least one of IAA, GAD, ZnT8 or IA2 on two consecutive occasions and signifies high risk of clinical T1D. Method: A nested case-control (NCC) study design with 54 cases and 161 matched controls aims to investigate associations between persistent IA and longitudinal omics exposures in ENDIA. The NCC study will analyse samples obtained from ENDIA children who have either developed persistent IA or progressed to clinical T1D (cases) and matched control children at risk of developing persistent IA. Control children were matched on sex and age, with all four autoantibodies absent within a defined window of the case’s onset date. Cases seroconverted at a median of 1.37 years (IQR 0.95, 2.56). Longitudinal omics data generated from approximately 16,000 samples of different biospecimen types, will enable evaluation of changes from pregnancy through childhood. Conclusions: KEY MESSAGES: 1. The ENDIA nested case-control study will utilize longitudinal omics data on approximately 16,000 samples from 190 unique children at risk of type 1 diabetes (T1D), including 54 who have developed islet autoimmunity (IA), followed during pregnancy, at birth and during early childhood, enabling the developmental origins of T1D to be explored.
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spelling pubmed-101016682023-04-14 Protocol for a nested case-control study design for omics investigations in the Environmental Determinants of Islet Autoimmunity cohort Oakey, Helena Giles, Lynne C. Thomson, Rebecca L. Lê Cao, Kim-Anh Ashwood, Pat Brown, James D. Knight, Emma J. Barry, Simon C. Craig, Maria E. Colman, Peter G. Davis, Elizabeth A. Hamilton-Williams, Emma E. Harrison, Leonard C. Haynes, Aveni Kim, Ki Wook Mallitt, Kylie-Ann McGorm, Kelly Morahan, Grant Rawlinson, William D. Sinnott, Richard O. Soldatos, Georgia Wentworth, John M. Couper, Jennifer J. Penno, Megan A. S. Ann Med Endocrinology Background: The Environmental Determinants of Islet Autoimmunity (ENDIA) pregnancy-birth cohort investigates the developmental origins of type 1 diabetes (T1D), with recruitment between 2013 and 2019. ENDIA is the first study in the world with comprehensive data and biospecimen collection during pregnancy, at birth and through childhood from at-risk children who have a first-degree relative with T1D. Environmental exposures are thought to drive the progression to clinical T1D, with pancreatic islet autoimmunity (IA) developing in genetically susceptible individuals. The exposures and key molecular mechanisms driving this progression are unknown. Persistent IA is the primary outcome of ENDIA; defined as a positive antibody for at least one of IAA, GAD, ZnT8 or IA2 on two consecutive occasions and signifies high risk of clinical T1D. Method: A nested case-control (NCC) study design with 54 cases and 161 matched controls aims to investigate associations between persistent IA and longitudinal omics exposures in ENDIA. The NCC study will analyse samples obtained from ENDIA children who have either developed persistent IA or progressed to clinical T1D (cases) and matched control children at risk of developing persistent IA. Control children were matched on sex and age, with all four autoantibodies absent within a defined window of the case’s onset date. Cases seroconverted at a median of 1.37 years (IQR 0.95, 2.56). Longitudinal omics data generated from approximately 16,000 samples of different biospecimen types, will enable evaluation of changes from pregnancy through childhood. Conclusions: KEY MESSAGES: 1. The ENDIA nested case-control study will utilize longitudinal omics data on approximately 16,000 samples from 190 unique children at risk of type 1 diabetes (T1D), including 54 who have developed islet autoimmunity (IA), followed during pregnancy, at birth and during early childhood, enabling the developmental origins of T1D to be explored. Taylor & Francis 2023-04-12 /pmc/articles/PMC10101668/ /pubmed/37043275 http://dx.doi.org/10.1080/07853890.2023.2198255 Text en © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
spellingShingle Endocrinology
Oakey, Helena
Giles, Lynne C.
Thomson, Rebecca L.
Lê Cao, Kim-Anh
Ashwood, Pat
Brown, James D.
Knight, Emma J.
Barry, Simon C.
Craig, Maria E.
Colman, Peter G.
Davis, Elizabeth A.
Hamilton-Williams, Emma E.
Harrison, Leonard C.
Haynes, Aveni
Kim, Ki Wook
Mallitt, Kylie-Ann
McGorm, Kelly
Morahan, Grant
Rawlinson, William D.
Sinnott, Richard O.
Soldatos, Georgia
Wentworth, John M.
Couper, Jennifer J.
Penno, Megan A. S.
Protocol for a nested case-control study design for omics investigations in the Environmental Determinants of Islet Autoimmunity cohort
title Protocol for a nested case-control study design for omics investigations in the Environmental Determinants of Islet Autoimmunity cohort
title_full Protocol for a nested case-control study design for omics investigations in the Environmental Determinants of Islet Autoimmunity cohort
title_fullStr Protocol for a nested case-control study design for omics investigations in the Environmental Determinants of Islet Autoimmunity cohort
title_full_unstemmed Protocol for a nested case-control study design for omics investigations in the Environmental Determinants of Islet Autoimmunity cohort
title_short Protocol for a nested case-control study design for omics investigations in the Environmental Determinants of Islet Autoimmunity cohort
title_sort protocol for a nested case-control study design for omics investigations in the environmental determinants of islet autoimmunity cohort
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101668/
https://www.ncbi.nlm.nih.gov/pubmed/37043275
http://dx.doi.org/10.1080/07853890.2023.2198255
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