Literature DB >> 16316181

Use of semiselective TOCSY and the pearson correlation for the metabonomic analysis of biofluid mixtures: application to urine.

Peter Sandusky1, Daniel Raftery.   

Abstract

The authors recently proposed an approach to the metabonomic analysis of biofluid mixtures based on the use of the selective TOCSY experiment (Sandusky, P.; Raftery, D. Anal. Chem. 2005, 77, 2455). This method has some significant advantages over standard metabonomic analysis. However, when analyzing overlapped components, the selective TOCSY method can suffer from the relatively high likelihood of simultaneous excitation of several spin systems at once. This multiple excitation can cause problems both with the purity of the individual TOCSY peaks observed and with their assignment into specific spin systems. To address this problem, the possibility of using a more selective excitation is initially explored. Unfortunately, in most cases, greater spin system selectivity can only be gained at the expense of sensitivity. This is obviously an unacceptable tradeoff when dealing with biofluid samples. However, the application of the Pearson product moment correlation to the TOCSY peak integral intensities provides a test for individual TOCSY peak purity and allows for the assignment of the peaks into spin systems. The specific application of this two-stage "semiselective" TOCSY method to rat and human urine is presented. Significantly, it is also demonstrated that the use of semiselective TOCSY spectra as data inputs for PCA calculations provides a more sensitive and reliable method of distinguishing small differences in biofluid composition than the standard metabonomic approach using complete 1D proton NMR spectra of urine samples.

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Year:  2005        PMID: 16316181     DOI: 10.1021/ac0510890

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  17 in total

1.  Use of optimized 1D TOCSY NMR for improved quantitation and metabolomic analysis of biofluids.

Authors:  Peter Sandusky; Emmanuel Appiah-Amponsah; Daniel Raftery
Journal:  J Biomol NMR       Date:  2011-03-10       Impact factor: 2.835

Review 2.  Can NMR solve some significant challenges in metabolomics?

Authors:  G A Nagana Gowda; Daniel Raftery
Journal:  J Magn Reson       Date:  2015-08-18       Impact factor: 2.229

Review 3.  Advances in NMR-based biofluid analysis and metabolite profiling.

Authors:  Shucha Zhang; G A Nagana Gowda; Tao Ye; Daniel Raftery
Journal:  Analyst       Date:  2010-04-09       Impact factor: 4.616

4.  MetaboID: a graphical user interface package for assignment of 1H NMR spectra of bodyfluids and tissues.

Authors:  Neil MacKinnon; Bagganahalli S Somashekar; Pratima Tripathi; Wencheng Ge; Thekkelnaycke M Rajendiran; Arul M Chinnaiyan; Ayyalusamy Ramamoorthy
Journal:  J Magn Reson       Date:  2012-11-21       Impact factor: 2.229

5.  13C-formylation for improved nuclear magnetic resonance profiling of amino metabolites in biofluids.

Authors:  Tao Ye; Shucha Zhang; Huaping Mo; Fariba Tayyari; G A Nagana Gowda; Daniel Raftery
Journal:  Anal Chem       Date:  2010-03-15       Impact factor: 6.986

6.  Chemoselective 15N tag for sensitive and high-resolution nuclear magnetic resonance profiling of the carboxyl-containing metabolome.

Authors:  Tao Ye; Huaping Mo; Narasimhamurthy Shanaiah; G A Nagana Gowda; Shucha Zhang; Daniel Raftery
Journal:  Anal Chem       Date:  2009-06-15       Impact factor: 6.986

Review 7.  Isotope enhanced approaches in metabolomics.

Authors:  G A Nagana Gowda; Narasimhamurthy Shanaiah; Daniel Raftery
Journal:  Adv Exp Med Biol       Date:  2012       Impact factor: 2.622

Review 8.  Metabolomics-based methods for early disease diagnostics.

Authors:  G A Nagana Gowda; Shucha Zhang; Haiwei Gu; Vincent Asiago; Narasimhamurthy Shanaiah; Daniel Raftery
Journal:  Expert Rev Mol Diagn       Date:  2008-09       Impact factor: 5.225

9.  Identification of 4-deoxythreonic acid present in human urine using HPLC and NMR techniques.

Authors:  Emmanuel Appiah-Amponsah; Narasimhamurthy Shanaiah; G A Nagana Gowda; Kwadwo Owusu-Sarfo; Tao Ye; Daniel Raftery
Journal:  J Pharm Biomed Anal       Date:  2009-06-12       Impact factor: 3.935

10.  Web server suite for complex mixture analysis by covariance NMR.

Authors:  Fengli Zhang; Steven L Robinette; Lei Bruschweiler-Li; Rafael Brüschweiler
Journal:  Magn Reson Chem       Date:  2009-12       Impact factor: 2.447

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