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Type 1 diabetes mellitus arises from an immune-mediated destruction of pancreatic β-cells, resulting in an absolute deficiency of insulin. This process develops in genetically susceptible individuals when autoimmunity, environmental exposures, and immunologic dysregulation converge to trigger a targeted attack on the insulin-producing cells of the pancreas. The β-cells are located within the islets of Langerhans and are essential for regulating blood glucose by facilitating cellular...
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Metabolic profiling in diabetes.

Karsten Suhre1

  • 1Department of Physiology and BiophysicsQatar Foundation - Education City, Weill Cornell Medical College - Qatar, PO Box 24144, Doha, QatarInstitute of Bioinformatics and Systems BiologyHelmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, GermanyDepartment of Physiology and BiophysicsQatar Foundation - Education City, Weill Cornell Medical College - Qatar, PO Box 24144, Doha, QatarInstitute of Bioinformatics and Systems BiologyHelmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany karsten@suhre.fr.

The Journal of Endocrinology
|May 29, 2014
PubMed
Summary
This summary is machine-generated.

Metabolomics is a key tool for studying metabolic disorders like diabetes. This review covers metabolomics platforms, study design, and data analysis for identifying diabetes biomarkers and assessing drug efficacy.

Keywords:
diabetesglucose metabolisminsulin resistancelipidmetabolism

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Area of Science:

  • Metabolomics
  • Biomarker Discovery
  • Diabetes Research

Background:

  • Metabolomics has matured into a significant scientific discipline.
  • It holds substantial applications in understanding metabolic disorders.
  • Diabetes research benefits greatly from metabolomic approaches.

Purpose of the Study:

  • To review metabolomics platforms, study design, and data analysis strategies for diabetes research.
  • To highlight recent advances in identifying metabolic pathway markers and biomarkers.
  • To discuss the role of genetic variance and metabolic phenotypes in diabetes.

Main Methods:

  • Review of current metabolomics platforms and their suitability for diabetes research.
  • Analysis of study design and data analysis techniques in metabolomics.
  • Synthesis of recent findings on metabolomic marker identification and drug efficacy assessment.

Main Results:

  • Metabolomics enables identification of markers for altered metabolic pathways in diabetes.
  • Biomarker discovery is advanced through metabolomic profiling.
  • Metabolomics can assess drug efficacy and off-target effects in metabolic studies.

Conclusions:

  • Metabolomics is crucial for advancing diabetes research and understanding metabolic disorders.
  • Careful selection of platforms, study design, and data analysis is essential for robust results.
  • Future research should integrate genetic variance and metabolic phenotypes for comprehensive insights.