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Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes
BACKGROUND: The Environmental Determinants of Diabetes in the Young (TEDDY) is a prospective birth cohort designed to study type 1 diabetes (T1D) by following children with high genetic risk. An integrative multi-omics approach was used to evaluate islet autoimmunity etiology, identify disease bioma...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818777/ https://www.ncbi.nlm.nih.gov/pubmed/33478573 http://dx.doi.org/10.1186/s13059-021-02262-w |
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author | Balzano-Nogueira, Leandro Ramirez, Ricardo Zamkovaya, Tatyana Dailey, Jordan Ardissone, Alexandria N. Chamala, Srikar Serrano-Quílez, Joan Rubio, Teresa Haller, Michael J. Concannon, Patrick Atkinson, Mark A. Schatz, Desmond A. Triplett, Eric W. Conesa, Ana |
author_facet | Balzano-Nogueira, Leandro Ramirez, Ricardo Zamkovaya, Tatyana Dailey, Jordan Ardissone, Alexandria N. Chamala, Srikar Serrano-Quílez, Joan Rubio, Teresa Haller, Michael J. Concannon, Patrick Atkinson, Mark A. Schatz, Desmond A. Triplett, Eric W. Conesa, Ana |
author_sort | Balzano-Nogueira, Leandro |
collection | PubMed |
description | BACKGROUND: The Environmental Determinants of Diabetes in the Young (TEDDY) is a prospective birth cohort designed to study type 1 diabetes (T1D) by following children with high genetic risk. An integrative multi-omics approach was used to evaluate islet autoimmunity etiology, identify disease biomarkers, and understand progression over time. RESULTS: We identify a multi-omics signature that was predictive of islet autoimmunity (IA) as early as 1 year before seroconversion. At this time, abnormalities in lipid metabolism, decreased capacity for nutrient absorption, and intracellular ROS accumulation are detected in children progressing towards IA. Additionally, extracellular matrix remodeling, inflammation, cytotoxicity, angiogenesis, and increased activity of antigen-presenting cells are observed, which may contribute to beta cell destruction. Our results indicate that altered molecular homeostasis is present in IA-developing children months before the actual detection of islet autoantibodies, which opens an interesting window of opportunity for therapeutic intervention. CONCLUSIONS: The approach employed herein for assessment of the TEDDY cohort showcases the utilization of multi-omics data for the modeling of complex, multifactorial diseases, like T1D. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02262-w. |
format | Online Article Text |
id | pubmed-7818777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78187772021-01-22 Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes Balzano-Nogueira, Leandro Ramirez, Ricardo Zamkovaya, Tatyana Dailey, Jordan Ardissone, Alexandria N. Chamala, Srikar Serrano-Quílez, Joan Rubio, Teresa Haller, Michael J. Concannon, Patrick Atkinson, Mark A. Schatz, Desmond A. Triplett, Eric W. Conesa, Ana Genome Biol Research BACKGROUND: The Environmental Determinants of Diabetes in the Young (TEDDY) is a prospective birth cohort designed to study type 1 diabetes (T1D) by following children with high genetic risk. An integrative multi-omics approach was used to evaluate islet autoimmunity etiology, identify disease biomarkers, and understand progression over time. RESULTS: We identify a multi-omics signature that was predictive of islet autoimmunity (IA) as early as 1 year before seroconversion. At this time, abnormalities in lipid metabolism, decreased capacity for nutrient absorption, and intracellular ROS accumulation are detected in children progressing towards IA. Additionally, extracellular matrix remodeling, inflammation, cytotoxicity, angiogenesis, and increased activity of antigen-presenting cells are observed, which may contribute to beta cell destruction. Our results indicate that altered molecular homeostasis is present in IA-developing children months before the actual detection of islet autoantibodies, which opens an interesting window of opportunity for therapeutic intervention. CONCLUSIONS: The approach employed herein for assessment of the TEDDY cohort showcases the utilization of multi-omics data for the modeling of complex, multifactorial diseases, like T1D. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02262-w. BioMed Central 2021-01-21 /pmc/articles/PMC7818777/ /pubmed/33478573 http://dx.doi.org/10.1186/s13059-021-02262-w Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Balzano-Nogueira, Leandro Ramirez, Ricardo Zamkovaya, Tatyana Dailey, Jordan Ardissone, Alexandria N. Chamala, Srikar Serrano-Quílez, Joan Rubio, Teresa Haller, Michael J. Concannon, Patrick Atkinson, Mark A. Schatz, Desmond A. Triplett, Eric W. Conesa, Ana Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes |
title | Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes |
title_full | Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes |
title_fullStr | Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes |
title_full_unstemmed | Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes |
title_short | Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes |
title_sort | integrative analyses of teddy omics data reveal lipid metabolism abnormalities, increased intracellular ros and heightened inflammation prior to autoimmunity for type 1 diabetes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818777/ https://www.ncbi.nlm.nih.gov/pubmed/33478573 http://dx.doi.org/10.1186/s13059-021-02262-w |
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