Literature DB >> 24044364

Postgenomics diagnostics: metabolomics approaches to human blood profiling.

Oxana Trifonova1, Petr Lokhov, Alexander Archakov.   

Abstract

We live in exciting times with the prospects of postgenomics diagnostics. Metabolomics is a novel "omics" data-intensive science that is accelerating the development of postgenomics diagnostics, particularly with use of accessible peripheral tissue compartments. Metabolomics involves the study of a comprehensive set of low molecular weight substances (metabolites) present in biological systems. The metabolite profiles represent the molecular phenotype of biological systems and reflect the information encoded at the genomic level and implemented at the transcriptomic and proteomic levels. Analysis of the human blood metabolite profile is a universal and highly promising tool for clinical postgenomics applications because it reflects both the endogenous and exogenous (environmental) factors influencing an individual organism. This article presents a critical synthesis and original analysis of both the technical implementation of metabolic profiling of blood and statistical analysis of metabolite profiles for effective disease diagnostics and risk assessment in the present postgenomics era.

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Year:  2013        PMID: 24044364      PMCID: PMC3814984          DOI: 10.1089/omi.2012.0121

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  67 in total

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5.  TagFinder for the quantitative analysis of gas chromatography--mass spectrometry (GC-MS)-based metabolite profiling experiments.

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Review 6.  Ultra-performance liquid chromatography coupled to mass spectrometry as a sensitive and powerful technology for metabolomic studies.

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10.  Statistical validation of megavariate effects in ASCA.

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  16 in total

1.  Mass spectrometric signatures of the blood plasma metabolome for disease diagnostics.

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Review 4.  Blood-borne biomarkers and bioindicators for linking exposure to health effects in environmental health science.

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7.  Label-free data standardization for clinical metabolomics.

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Review 8.  Lipid and Metabolic Changes in Rheumatoid Arthritis.

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Review 10.  A Metabolomics Approach to Pharmacotherapy Personalization.

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