Literature DB >> 23804263

Metabolomics in the studies of islet autoimmunity and type 1 diabetes.

Matej Oresic1.   

Abstract

The metabolome is sensitive to genetic and environmental factors contributing to complex diseases such as type 1 diabetes (T1D). Metabolomics is the study of biochemical and physiological processes involving metabolites. It is therefore one of the key platforms for the discovery and study of pathophysiological phenomena leading to T1D and the development of T1D-associated complications. Although the application of metabolomics in T1D research is still rare, metabolomic research has already advanced across the full spectrum, from disease progression to the development of diabetic complications. Metabolomic studies in T1D have contributed to an improved etiopathogenic understanding and demonstrated their potential in the clinic. For example, metabolomic data from recent T1D studies suggest that a specific metabolic profile, or metabotype, precedes islet autoimmunity and the development of overt T1D. These early metabolic changes are attributed to many biochemical pathways, thus suggesting a systemic change in metabolism which may be inborn. Based on this evidence, the role of the metabolome in the progression to T1D is therefore to facilitate specific biochemical processes associated with T1D, and to contribute to the development of a vulnerable state in which disease is more likely to be triggered. This may have important implications for the understanding of T1D pathophysiology and early disease detection and prevention.

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Year:  2012        PMID: 23804263      PMCID: PMC3740693          DOI: 10.1900/RDS.2012.9.236

Source DB:  PubMed          Journal:  Rev Diabet Stud        ISSN: 1613-6071


  73 in total

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Review 2.  Metabolomics in childhood diabetes.

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7.  Feasibility of Localized Metabolomics in the Study of Pancreatic Islets and Diabetes.

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8.  Predictive Modeling of Type 1 Diabetes Stages Using Disparate Data Sources.

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Journal:  Diabetes       Date:  2019-11-18       Impact factor: 9.461

9.  Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes.

Authors:  Leandro Balzano-Nogueira; Ricardo Ramirez; Tatyana Zamkovaya; Jordan Dailey; Alexandria N Ardissone; Srikar Chamala; Joan Serrano-Quílez; Teresa Rubio; Michael J Haller; Patrick Concannon; Mark A Atkinson; Desmond A Schatz; Eric W Triplett; Ana Conesa
Journal:  Genome Biol       Date:  2021-01-21       Impact factor: 13.583

  9 in total

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