Literature DB >> 22079244

Recent and potential developments of biofluid analyses in metabolomics.

Aihua Zhang1, Hui Sun, Ping Wang, Ying Han, Xijun Wang.   

Abstract

Metabolomics, one of the 'omic' sciences in systems biology, is the global assessment and validation of endogenous small-molecule metabolites within a biologic system. Analysis of these key metabolites in body fluids has become an important role to monitor the state of biological organisms and is a widely used diagnostic tool for disease. A majority of these metabolites are being applied to metabolic profiling of the biological samples, for example, plasma and whole blood, serum, urine, saliva, cerebrospinal fluid, synovial fluid, semen, and tissue homogenates. However, the recognition of the need for a holistic approach to metabolism led to the application of metabolomics to biological fluids for disease diagnostics. A recent surge in metabolomic applications which are probably more accurate than routine clinical practice, dedicated to characterizing the biological fluids. While developments in the analysis of biofluid samples encompassing an important impediment, it must be emphasized that these biofluids are complementary. Metabolomics provides potential advantages that classical diagnostic approaches do not, based on following discovery of a suite of clinically relevant biomarkers that are simultaneously affected by the disease. Emerging as a promising biofocus, metabolomics will drive biofluid analyses and offer great benefits for public health in the long-term.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 22079244     DOI: 10.1016/j.jprot.2011.10.027

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  51 in total

1.  Maternal Early Pregnancy Serum Metabolites and Risk of Gestational Diabetes Mellitus.

Authors:  Daniel A Enquobahrie; Marie Denis; Mahlet G Tadesse; Bizu Gelaye; Habtom W Ressom; Michelle A Williams
Journal:  J Clin Endocrinol Metab       Date:  2015-09-25       Impact factor: 5.958

2.  Metabolomics study of type 2 diabetes using ultra-performance LC-ESI/quadrupole-TOF high-definition MS coupled with pattern recognition methods.

Authors:  Ai-hua Zhang; Hui Sun; Guang-li Yan; Ye Yuan; Ying Han; Xi-jun Wang
Journal:  J Physiol Biochem       Date:  2013-08-24       Impact factor: 4.158

Review 3.  Epidemiology of cardiovascular disease: recent novel outlooks on risk factors and clinical approaches.

Authors:  Teemu J Niiranen; Ramachandran S Vasan
Journal:  Expert Rev Cardiovasc Ther       Date:  2016-04-25

Review 4.  Genetic variation in metabolic phenotypes: study designs and applications.

Authors:  Karsten Suhre; Christian Gieger
Journal:  Nat Rev Genet       Date:  2012-10-03       Impact factor: 53.242

5.  Global metabolomic analysis of a mammalian host infected with Bacillus anthracis.

Authors:  Chinh T Q Nguyen; Vivekananda Shetty; Anthony W Maresso
Journal:  Infect Immun       Date:  2015-10-05       Impact factor: 3.441

6.  1H nuclear magnetic resonance (NMR)-based serum metabolomics of human gallbladder inflammation.

Authors:  Raj Kumar Sharma; Kumudesh Mishra; Alvina Farooqui; Anu Behari; Vinay Kumar Kapoor; Neeraj Sinha
Journal:  Inflamm Res       Date:  2016-10-21       Impact factor: 4.575

Review 7.  Universal quantitative NMR analysis of complex natural samples.

Authors:  Charlotte Simmler; José G Napolitano; James B McAlpine; Shao-Nong Chen; Guido F Pauli
Journal:  Curr Opin Biotechnol       Date:  2013-09-14       Impact factor: 9.740

8.  Diet-induced hyperinsulinemia differentially affects glucose and protein metabolism: a high-throughput metabolomic approach in rats.

Authors:  U Etxeberria; A L de la Garza; J A Martínez; F I Milagro
Journal:  J Physiol Biochem       Date:  2013-01-19       Impact factor: 4.158

9.  The role of metabolomics in osteoarthritis research.

Authors:  Samuel B Adams; Lori A Setton; Dana L Nettles
Journal:  J Am Acad Orthop Surg       Date:  2013-01       Impact factor: 3.020

10.  Adenoviral E4 gene stimulates secretion of pigmental epithelium derived factor (PEDF) that maintains long-term survival of human glomerulus-derived endothelial cells.

Authors:  Marina Jerebtsova; Namita Kumari; Yuri Obuhkov; Sergei Nekhai
Journal:  Mol Cell Proteomics       Date:  2012-08-21       Impact factor: 5.911

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