Literature DB >> 20953584

The role of metabolites and metabolomics in clinically applicable biomarkers of disease.

Mamas Mamas1, Warwick B Dunn, Ludwig Neyses, Royston Goodacre.   

Abstract

Metabolomics allows the simultaneous and relative quantification of thousands of different metabolites within a given sample using sensitive and specific methodologies such as gas or liquid chromatography coupled to mass spectrometry, typically in discovery phases of studies. Biomarkers are biological characteristics that are objectively measured and evaluated as indicators of normal biological processes, pathological processes or pharmacologic responses to a therapeutic intervention. Biomarkers are widely used in clinical practice for the diagnosis, assessment of severity and response to therapy in a number of clinical disease states. In human studies, metabolomics has been applied to define biomarkers related to prognosis or diagnosis of a disease or drug toxicity/efficacy and in doing so hopes to provide greater pathophysiological understanding of disease or therapeutic toxicity/efficacy. This review discusses the application of metabolomics in the discovery and subsequent application of biomarkers in the diagnosis and management of inborn errors of metabolism, cardiovascular disease and cancer. We critically appraise how novel biomarkers discovered through metabolomic analysis may be utilized in future clinical practice by addressing the following three fundamental questions: (1) Can the clinician measure them? (2) Do they add new information? (3) Do they help the clinician to manage patients? Although a number of novel biomarkers have been discovered through metabolomic studies of human diseases in the last decade, none have currently made the transition to routine use in clinical practice. Metabolites identified from these early studies will need to form the basis of larger, prospective, externally validated studies in clinical cohorts for their future use as biomarkers. At this stage, the absolute quantification of these biomarkers will need to be assessed epidemiologically, as will the ultimate deployment in the clinic via routine biochemistry, dip stick or similar rapid at- or near-patient care technologies.

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Year:  2010        PMID: 20953584     DOI: 10.1007/s00204-010-0609-6

Source DB:  PubMed          Journal:  Arch Toxicol        ISSN: 0340-5761            Impact factor:   5.153


  90 in total

Review 1.  Application of metabolomics to prostate cancer.

Authors:  Bruce J Trock
Journal:  Urol Oncol       Date:  2011 Sep-Oct       Impact factor: 3.498

2.  Advanced molecular biologic techniques in toxicologic disease.

Authors:  Jeanine Ward; Gyongyi Szabo; David McManus; Edward Boyer
Journal:  J Med Toxicol       Date:  2011-12

3.  Feasibility of Metabolomics Analysis of Dialysate Effluents from Patients Undergoing Peritoneal Equilibration Testing.

Authors:  Dagmar Csaicsich; Anton M Lichtenauer; Andreas Vychytil; David C Kasper; Rebecca Herzog; Christoph Aufricht; Klaus Kratochwill
Journal:  Perit Dial Int       Date:  2015 Sep-Oct       Impact factor: 1.756

4.  Experimental Periodontitis Results in Prediabetes and Metabolic Alterations in Brain, Liver and Heart: Global Untargeted Metabolomic Analyses.

Authors:  Vladimir Ilievski; Jason M Kinchen; Ramya Prabhu; Fadi Rim; Lara Leoni; Terry G Unterman; Keiko Watanabe
Journal:  J Oral Biol (Northborough)       Date:  2016-04-23

Review 5.  The utility of metabolomics in natural product and biomarker characterization.

Authors:  Daniel G Cox; Joonseok Oh; Adam Keasling; Kim L Colson; Mark T Hamann
Journal:  Biochim Biophys Acta       Date:  2014-08-20

6.  Plasma free amino acid profiling of esophageal cancer using high-performance liquid chromatography spectroscopy.

Authors:  Hong Ma; Ayshamgul Hasim; Batur Mamtimin; Bin Kong; Hai-Ping Zhang; Ilyar Sheyhidin
Journal:  World J Gastroenterol       Date:  2014-07-14       Impact factor: 5.742

7.  Microbial Metabolomics: From Methods to Translational Applications.

Authors:  Rui Guo; Xialin Luo; Xu Xin; Lian Liu; Xijun Wang; Haitao Lu
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

8.  Non-invasive urinary metabolomic profiles discriminate biliary atresia from infantile hepatitis syndrome.

Authors:  Wei-Wei Li; Yan Yang; Qi-Gang Dai; Li-Li Lin; Tong Xie; Li-Li He; Jia-Lei Tao; Jin-Jun Shan; Shou-Chuan Wang
Journal:  Metabolomics       Date:  2018-06-21       Impact factor: 4.290

9.  NMR metabolic profiling of follicular fluid for investigating the different causes of female infertility: a pilot study.

Authors:  Maria Antonietta Castiglione Morelli; Assunta Iuliano; Sergio Crescenzo Antonio Schettini; Donatina Petruzzi; Angela Ferri; Paola Colucci; Licia Viggiani; Flavia Cuviello; Angela Ostuni
Journal:  Metabolomics       Date:  2019-01-29       Impact factor: 4.290

10.  Biomarker Discovery and Translation in Metabolomics.

Authors:  G A Nagana Gowda; D Raftery
Journal:  Curr Metabolomics       Date:  2013
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