Endocrinology Meets Metabolomics: Achievements, Pitfalls, and Challenges

Publication date: Available online 2 August 2017
Source:Trends in Endocrinology & Metabolism
Author(s): Janina Tokarz, Mark Haid, Alexander Cecil, Cornelia Prehn, Anna Artati, Gabriele Möller, Jerzy Adamski
The metabolome, although very dynamic, is sufficiently stable to provide specific quantitative traits related to health and disease. Metabolomics requires balanced use of state-of-the-art study design, chemical analytics, biostatistics, and bioinformatics to deliver meaningful answers to contemporary questions in human disease research. The technology is now frequently employed for biomarker discovery and for elucidating the mechanisms underlying endocrine-related diseases. Metabolomics has also enriched genome-wide association studies (GWAS) in this area by providing functional data. The contributions of rare genetic variants to metabolome variance and to the human phenotype have been underestimated until now.



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