Literature DB >> 29758850

Metabolomics as a tool for personalizing medicine: 2012 update.

Jinchun Sun1, Richard D Beger1, Laura K Schnackenberg2.   

Abstract

Numerous factors in conjunction with an individual's genetic make up will determine predisposition to disease, adverse or beneficial effects of drug treatment or therapy, and disease progression. A major limitation of current clinical measures is that the disease phenotype, which is comprised of the genotype and other environmental factors, is underestimated. Rather, each disease is treated similarly even though the disease process is highly complex. Methods that evaluate the interaction of genotype and environmental factors would likely be a better indicator of patients' response to medical treatments. The omics technologies, specifically metabolomics, will play a major role in the movement towards personalized medicine. Metabolomics is phenotype driven and should provide better clinical biomarkers. Furthermore, recent studies have shown that associations between genetic variants and downstream metabolite changes can provide a unique description of an individual's genotype and phenotype, which will further enhance the movement towards personalized medicine.

Entities:  

Keywords:  biomarkers; metabolomics; personalized medicine; pharmacogenetics; pharmacometabolomics

Year:  2013        PMID: 29758850     DOI: 10.2217/pme.13.8

Source DB:  PubMed          Journal:  Per Med        ISSN: 1741-0541            Impact factor:   2.512


  4 in total

Review 1.  Systems biology approaches for identifying adverse drug reactions and elucidating their underlying biological mechanisms.

Authors:  Mary Regina Boland; Alexandra Jacunski; Tal Lorberbaum; Joseph D Romano; Robert Moskovitch; Nicholas P Tatonetti
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2015-11-12

Review 2.  An emerging potential of metabolomics in multiple sclerosis: a comprehensive overview.

Authors:  Insha Zahoor; Bin Rui; Junaid Khan; Indrani Datta; Shailendra Giri
Journal:  Cell Mol Life Sci       Date:  2021-01-15       Impact factor: 9.261

3.  Influence of Sex on Urinary Organic Acids: A Cross-Sectional Study in Children.

Authors:  Marianna Caterino; Margherita Ruoppolo; Guglielmo Rosario Domenico Villani; Emanuela Marchese; Michele Costanzo; Giovanni Sotgiu; Simone Dore; Flavia Franconi; Ilaria Campesi
Journal:  Int J Mol Sci       Date:  2020-01-16       Impact factor: 5.923

4.  Metabolomics Analysis of the Deterioration Mechanism and Storage Time Limit of Tender Coconut Water during Storage.

Authors:  Yunwu Zhang; Wenxue Chen; Haiming Chen; Qiuping Zhong; Yonghuan Yun; Weijun Chen
Journal:  Foods       Date:  2020-01-03
  4 in total

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