Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
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
_version_ 1783638910484611072
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
work_keys_str_mv AT balzanonogueiraleandro integrativeanalysesofteddyomicsdatareveallipidmetabolismabnormalitiesincreasedintracellularrosandheightenedinflammationpriortoautoimmunityfortype1diabetes
AT ramirezricardo integrativeanalysesofteddyomicsdatareveallipidmetabolismabnormalitiesincreasedintracellularrosandheightenedinflammationpriortoautoimmunityfortype1diabetes
AT zamkovayatatyana integrativeanalysesofteddyomicsdatareveallipidmetabolismabnormalitiesincreasedintracellularrosandheightenedinflammationpriortoautoimmunityfortype1diabetes
AT daileyjordan integrativeanalysesofteddyomicsdatareveallipidmetabolismabnormalitiesincreasedintracellularrosandheightenedinflammationpriortoautoimmunityfortype1diabetes
AT ardissonealexandrian integrativeanalysesofteddyomicsdatareveallipidmetabolismabnormalitiesincreasedintracellularrosandheightenedinflammationpriortoautoimmunityfortype1diabetes
AT chamalasrikar integrativeanalysesofteddyomicsdatareveallipidmetabolismabnormalitiesincreasedintracellularrosandheightenedinflammationpriortoautoimmunityfortype1diabetes
AT serranoquilezjoan integrativeanalysesofteddyomicsdatareveallipidmetabolismabnormalitiesincreasedintracellularrosandheightenedinflammationpriortoautoimmunityfortype1diabetes
AT rubioteresa integrativeanalysesofteddyomicsdatareveallipidmetabolismabnormalitiesincreasedintracellularrosandheightenedinflammationpriortoautoimmunityfortype1diabetes
AT hallermichaelj integrativeanalysesofteddyomicsdatareveallipidmetabolismabnormalitiesincreasedintracellularrosandheightenedinflammationpriortoautoimmunityfortype1diabetes
AT concannonpatrick integrativeanalysesofteddyomicsdatareveallipidmetabolismabnormalitiesincreasedintracellularrosandheightenedinflammationpriortoautoimmunityfortype1diabetes
AT atkinsonmarka integrativeanalysesofteddyomicsdatareveallipidmetabolismabnormalitiesincreasedintracellularrosandheightenedinflammationpriortoautoimmunityfortype1diabetes
AT schatzdesmonda integrativeanalysesofteddyomicsdatareveallipidmetabolismabnormalitiesincreasedintracellularrosandheightenedinflammationpriortoautoimmunityfortype1diabetes
AT triplettericw integrativeanalysesofteddyomicsdatareveallipidmetabolismabnormalitiesincreasedintracellularrosandheightenedinflammationpriortoautoimmunityfortype1diabetes
AT conesaana integrativeanalysesofteddyomicsdatareveallipidmetabolismabnormalitiesincreasedintracellularrosandheightenedinflammationpriortoautoimmunityfortype1diabetes