Cargando…

Perspective: a systems approach to diabetes research

We review here the status of human type 2 diabetes studies from a genetic, epidemiological, and clinical (intervention) perspective. Most studies limit analyses to one or a few omic technologies providing data of components of physiological processes. Since all chronic diseases are multifactorial an...

Descripción completa

Detalles Bibliográficos
Autores principales: Kussmann, Martin, Morine, Melissa J., Hager, Jörg, Sonderegger, Bernhard, Kaput, Jim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3807566/
https://www.ncbi.nlm.nih.gov/pubmed/24187547
http://dx.doi.org/10.3389/fgene.2013.00205
_version_ 1782288489383985152
author Kussmann, Martin
Morine, Melissa J.
Hager, Jörg
Sonderegger, Bernhard
Kaput, Jim
author_facet Kussmann, Martin
Morine, Melissa J.
Hager, Jörg
Sonderegger, Bernhard
Kaput, Jim
author_sort Kussmann, Martin
collection PubMed
description We review here the status of human type 2 diabetes studies from a genetic, epidemiological, and clinical (intervention) perspective. Most studies limit analyses to one or a few omic technologies providing data of components of physiological processes. Since all chronic diseases are multifactorial and arise from complex interactions between genetic makeup and environment, type 2 diabetes mellitus (T2DM) is a collection of sub-phenotypes resulting in high fasting glucose. The underlying gene–environment interactions that produce these classes of T2DM are imperfectly characterized. Based on assessments of the complexity of T2DM, we propose a systems biology approach to advance the understanding of origin, onset, development, prevention, and treatment of this complex disease. This systems-based strategy is based on new study design principles and the integrated application of omics technologies: we pursue longitudinal studies in which each subject is analyzed at both homeostasis and after (healthy and safe) challenges. Each enrolled subject functions thereby as their own case and control and this design avoids assigning the subjects a priori to case and control groups based on limited phenotyping. Analyses at different time points along this longitudinal investigation are performed with a comprehensive set of omics platforms. These data sets are generated in a biological context, rather than biochemical compound class-driven manner, which we term “systems omics.”
format Online
Article
Text
id pubmed-3807566
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-38075662013-11-01 Perspective: a systems approach to diabetes research Kussmann, Martin Morine, Melissa J. Hager, Jörg Sonderegger, Bernhard Kaput, Jim Front Genet Genetics We review here the status of human type 2 diabetes studies from a genetic, epidemiological, and clinical (intervention) perspective. Most studies limit analyses to one or a few omic technologies providing data of components of physiological processes. Since all chronic diseases are multifactorial and arise from complex interactions between genetic makeup and environment, type 2 diabetes mellitus (T2DM) is a collection of sub-phenotypes resulting in high fasting glucose. The underlying gene–environment interactions that produce these classes of T2DM are imperfectly characterized. Based on assessments of the complexity of T2DM, we propose a systems biology approach to advance the understanding of origin, onset, development, prevention, and treatment of this complex disease. This systems-based strategy is based on new study design principles and the integrated application of omics technologies: we pursue longitudinal studies in which each subject is analyzed at both homeostasis and after (healthy and safe) challenges. Each enrolled subject functions thereby as their own case and control and this design avoids assigning the subjects a priori to case and control groups based on limited phenotyping. Analyses at different time points along this longitudinal investigation are performed with a comprehensive set of omics platforms. These data sets are generated in a biological context, rather than biochemical compound class-driven manner, which we term “systems omics.” Frontiers Media S.A. 2013-10-16 /pmc/articles/PMC3807566/ /pubmed/24187547 http://dx.doi.org/10.3389/fgene.2013.00205 Text en Copyright © Kussmann, Morine, Hager, Sonderegger and Kaput. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Kussmann, Martin
Morine, Melissa J.
Hager, Jörg
Sonderegger, Bernhard
Kaput, Jim
Perspective: a systems approach to diabetes research
title Perspective: a systems approach to diabetes research
title_full Perspective: a systems approach to diabetes research
title_fullStr Perspective: a systems approach to diabetes research
title_full_unstemmed Perspective: a systems approach to diabetes research
title_short Perspective: a systems approach to diabetes research
title_sort perspective: a systems approach to diabetes research
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3807566/
https://www.ncbi.nlm.nih.gov/pubmed/24187547
http://dx.doi.org/10.3389/fgene.2013.00205
work_keys_str_mv AT kussmannmartin perspectiveasystemsapproachtodiabetesresearch
AT morinemelissaj perspectiveasystemsapproachtodiabetesresearch
AT hagerjorg perspectiveasystemsapproachtodiabetesresearch
AT sondereggerbernhard perspectiveasystemsapproachtodiabetesresearch
AT kaputjim perspectiveasystemsapproachtodiabetesresearch