Literature DB >> 27012786

A method for comparative metabolomics in urine using high resolution mass spectrometry.

Padma Ramakrishnan1, Sreenath Nair1, Kannan Rangiah2.   

Abstract

Developing a workflow for metabolite profiling from biological fluids using mass spectrometry is imperative to extract accurate information. In this study, urine samples from smokers (n=10) and nonsmokers (n=10) were analyzed using an ultrahigh performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS) system. For the analysis, two different chromatographic methods [Reversed phase chromatography (RPC) and Hydrophilic interaction liquid chromatography (HILIC)], in two ionization modes (positive and negative) were used. Spiked reserpine (positive ion mode) or taurocholate (negative ion mode) were used for data extraction and normalization. Quality controls (QCs), prepared by pooling urine samples from both smokers and non-smokers (each n=10), were used to assess the reproducibility of the method. The final data output from SIEVE 2.2 after applying a cut-off for QC coefficient of variation (CV) <20% and p-value <0.05 showed 165, 83, 177 and 100 unique components in RP positive/negative, HILIC positive/negative modes, respectively. Statistical analysis showed clustering of the two groups and the QCs, while the variable importance in projection (VIP) scores for the top fifteen metabolites in each of the four modes indicated the metabolites most responsible for the differences. Application of the developed workflow for comparative metabolomic analysis of urine in different diseased models will be of great use in the field of clinical metabolomics.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Data analysis; Data normalization; HRMS; Mass spectrometry; Metabolite profiling; Urine

Mesh:

Year:  2016        PMID: 27012786     DOI: 10.1016/j.chroma.2016.02.080

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  4 in total

1.  Metagenomic-Metabolomic Mining of Kinema, a Naturally Fermented Soybean Food of the Eastern Himalayas.

Authors:  Pynhunlang Kharnaior; Jyoti Prakash Tamang
Journal:  Front Microbiol       Date:  2022-04-29       Impact factor: 6.064

2.  Microbial Diversity and Metabolite Profiles of Palm Wine Produced From Three Different Palm Tree Species in Côte d'Ivoire.

Authors:  Theodore N Djeni; Karen H Kouame; Francine D M Ake; Laurent S T Amoikon; Marcellin K Dje; Kumaraswamy Jeyaram
Journal:  Sci Rep       Date:  2020-02-03       Impact factor: 4.379

3.  In Vitro Anticancer Activity of Imperata cylindrica Root's Extract toward Human Cervical Cancer and Identification of Potential Bioactive Compounds.

Authors:  Paul Nayim; Krishna Sudhir; Armelle T Mbaveng; Victor Kuete; Mukherjee Sanjukta
Journal:  Biomed Res Int       Date:  2021-10-18       Impact factor: 3.411

4.  Metabolomics Profiles of Smokers from Two Ethnic Groups with Differing Lung Cancer Risk.

Authors:  Romel Dator; Peter W Villalta; Nicole Thomson; Joni Jensen; Dorothy K Hatsukami; Irina Stepanov; Benedikt Warth; Silvia Balbo
Journal:  Chem Res Toxicol       Date:  2020-05-11       Impact factor: 3.739

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.