Literature DB >> 23849548

Human metabolomics: strategies to understand biology.

Rawi Ramautar1, Ruud Berger, Jan van der Greef, Thomas Hankemeier.   

Abstract

Metabolomics provides a direct functional read-out of the physiological status of an organism and is in principle ideally suited to describe someone's health status. Whereas only a limited number of small metabolites are used in the clinics, in inborn errors of metabolism an extensive repertoire of metabolites are used as biomarkers. We discuss that the proper clinical phenotyping is crucial to find biomarkers and obtain biological insights for multifactorial diseases. This requires to study the phenotype dynamics including the concepts of homeostasis and allostasis, that is, the ability to adapt and cope with a challenge. We also elaborate that biology-driven metabolomics platforms (i.e. development of metabolomics technology driven by the need of studying and answering important biomedical questions) addressing clinically relevant pathways and at the same time providing absolute concentrations are key to allow discovery and validation of biomarkers across studies and labs. Following individuals over years will require high throughput metabolomics approaches, which are emerging for nuclear magnetic resonance spectroscopy and direct-infusion mass spectrometry, but should also include the biochemical networks needed for personalized health monitoring.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23849548     DOI: 10.1016/j.cbpa.2013.06.015

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  40 in total

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Authors:  Helder I Nakaya; Bali Pulendran
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-06-19       Impact factor: 6.237

2.  Nephron Toxicity Profiling via Untargeted Metabolome Analysis Employing a High Performance Liquid Chromatography-Mass Spectrometry-based Experimental and Computational Pipeline.

Authors:  Christina Ranninger; Marc Rurik; Alice Limonciel; Silke Ruzek; Roland Reischl; Anja Wilmes; Paul Jennings; Philip Hewitt; Wolfgang Dekant; Oliver Kohlbacher; Christian G Huber
Journal:  J Biol Chem       Date:  2015-06-08       Impact factor: 5.157

Review 3.  The emerging role of metabolomics in the development of biomarkers for pulmonary hypertension and other cardiovascular diseases (2013 Grover Conference series).

Authors:  Gregory D Lewis
Journal:  Pulm Circ       Date:  2014-09       Impact factor: 3.017

4.  Individual variability in human blood metabolites identifies age-related differences.

Authors:  Romanas Chaleckis; Itsuo Murakami; Junko Takada; Hiroshi Kondoh; Mitsuhiro Yanagida
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-28       Impact factor: 11.205

Review 5.  Emerging new strategies for successful metabolite identification in metabolomics.

Authors:  Kerem Bingol; Lei Bruschweiler-Li; Dawei Li; Bo Zhang; Mouzhe Xie; Rafael Brüschweiler
Journal:  Bioanalysis       Date:  2016-02-26       Impact factor: 2.681

6.  Multi-block PLS discriminant analysis for the joint analysis of metabolomic and epidemiological data.

Authors:  Marion Brandolini-Bunlon; Mélanie Pétéra; Pierrette Gaudreau; Blandine Comte; Stéphanie Bougeard; Estelle Pujos-Guillot
Journal:  Metabolomics       Date:  2019-10-03       Impact factor: 4.290

7.  Hypoxanthine is a pharmacodynamic marker of ischemic brain edema modified by glibenclamide.

Authors:  Hannah J Irvine; Animesh Acharjee; Zoe Wolcott; Zsuzsanna Ament; H E Hinson; Bradley J Molyneaux; J Marc Simard; Kevin N Sheth; W Taylor Kimberly
Journal:  Cell Rep Med       Date:  2022-06-13

8.  Targeted and global pharmacometabolomics in everolimus-based immunosuppression: association of co-medication and lysophosphatidylcholines with dose requirement.

Authors:  Dorothea Lesche; Vilborg Sigurdardottir; Alexander B Leichtle; Christos T Nakas; Uwe Christians; Lars Englberger; Martin Fiedler; Carlo R Largiadèr; Paul Mohacsi; Johanna Sistonen
Journal:  Metabolomics       Date:  2017-11-25       Impact factor: 4.290

9.  Metabolomic profiling of brain from infants who died from Sudden Infant Death Syndrome reveals novel predictive biomarkers.

Authors:  S F Graham; O P Chevallier; P Kumar; O Türko Gcaron Lu; R O Bahado-Singh
Journal:  J Perinatol       Date:  2016-09-08       Impact factor: 2.521

10.  Global untargeted serum metabolomic analyses nominate metabolic pathways responsive to loss of expression of the orphan metallo β-lactamase, MBLAC1.

Authors:  Chelsea L Gibson; Simona G Codreanu; Alexandra C Schrimpe-Rutledge; Cassandra L Retzlaff; Jane Wright; Doug P Mortlock; Stacy D Sherrod; John A McLean; Randy D Blakely
Journal:  Mol Omics       Date:  2018-06-12
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