Literature DB >> 29291407

Urine volatile organic compounds as biomarkers for minimal change type nephrotic syndrome.

Desheng Liu1, Nana Zhao2, Mingao Wang3, Xin Pi4, Yue Feng5, Yue Wang6, Hongshuang Tong7, Lin Zhu8, Changsong Wang9, Enyou Li10.   

Abstract

Urinary volatile organic compounds (VOCs) profiling has recently received considerable attention because it can be obtained noninvasively and conveniently while it can be successfully used in a variety of diseases and can provide unique biomarkers. The aim of current study was to investigate potential biomarkers between minimal change type nephrotic syndrome (MCNS) and normal. Urinary samples were collected from 38 minimal change type nephrotic syndrome patients and 15 healthy controls. Solid phase microextraction (SPME) and chromatography- mass spectrometry (GC-MS) were used to analysis the urinary metabolites. To deal with the final data, the statistical methods principal component analysis (PCA) and orthogonal partial least-squares discriminant analysis (OPLSDA) were performed. Six specific VOC biomarkers were present at abnormal levels in the urine of MCNS patients. These VOCs included trans-2,2-dimethyl-4-decene; pyrrole; carbamic acid, monoammonium salt; 1-butyne, 3,3-dimethyl-; diisopropylamine; and 4-heptanone. These biomarkers may be useful as a new diagnostic method and for monitoring the prognosis for MCNS patients.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diagnostic method; Gas chromatography-mass spectrometry; Minimal change type nephrotic syndrome; Solid-Phase Microextraction; Volatile organic compounds

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Year:  2017        PMID: 29291407     DOI: 10.1016/j.bbrc.2017.12.164

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  4 in total

1.  The smell of longevity: a combination of Volatile Organic Compounds (VOCs) can discriminate centenarians and their offspring from age-matched subjects and young controls.

Authors:  Maria Conte; Giuseppe Conte; Morena Martucci; Daniela Monti; Laura Casarosa; Andrea Serra; Marcello Mele; Claudio Franceschi; Stefano Salvioli
Journal:  Geroscience       Date:  2019-12-05       Impact factor: 7.713

2.  Fecal Volatile Organic Compound Profiles are Not Influenced by Gestational Age and Mode of Delivery: A Longitudinal Multicenter Cohort Study.

Authors:  Nancy Deianova; Sofia El Manouni El Hassani; Hendrik J Niemarkt; Veerle Cossey; Anton H van Kaam; Floor Jenken; Mirjam M van Weissenbruch; Esmee M Doedes; Kyra Baelde; Renee Menezes; Marc A Benninga; Wouter J de Jonge; Nanne K de Boer; Tim G de Meij
Journal:  Biosensors (Basel)       Date:  2020-05-11

3.  Optimisation of Urine Sample Preparation for Headspace-Solid Phase Microextraction Gas Chromatography-Mass Spectrometry: Altering Sample pH, Sulphuric Acid Concentration and Phase Ratio.

Authors:  Prashant Aggarwal; James Baker; Mark T Boyd; Séamus Coyle; Chris Probert; Elinor A Chapman
Journal:  Metabolites       Date:  2020-11-25

Review 4.  Machine Learning in Human Olfactory Research.

Authors:  Jörn Lötsch; Dario Kringel; Thomas Hummel
Journal:  Chem Senses       Date:  2019-01-01       Impact factor: 3.160

  4 in total

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