Literature DB >> 24820933

Analysis of volatile human urinary metabolome by solid-phase microextraction in combination with gas chromatography-mass spectrometry for biomarker discovery: application in a pilot study to discriminate patients with renal cell carcinoma.

Márcia Monteiro1, Márcia Carvalho2, Rui Henrique3, Carmen Jerónimo4, Nathalie Moreira5, Maria de Lourdes Bastos6, Paula Guedes de Pinho7.   

Abstract

A new and simple analytical approach consisting of headspace-solid phase microextraction (HS-SPME) sampling coupled with gas chromatography-ion trap/mass spectrometry (GC-IT/MS) was developed to study the volatile human urinary metabolome. A central composite design (CCD) was used in the optimisation of extraction conditions. Fibre selection and evaluation of pH influence were performed using an univariate mode and the influence of other parameters, such as the time and temperature of extraction, time of incubation and salt addition, that affect the efficiency of the SPME sampling, was carried out using a CCD. With a sample volume of 2 mL, the optimal conditions in terms of total response values and reproducibility were achieved by performing analyses with a divinylbenzene/polydimethylsiloxane (DVB/PDMS) fibre, in an acidic pH (pH 2) with the addition of 0.59 g of NaCl, allowing the sample to equilibrate for 9 min and extracting at 68 °C for 24 min. The applicability of the optimised method was then tested in a pilot non-target analysis of urine samples obtained from patients with renal cell carcinoma (RCC) and healthy individuals. Chemometric unsupervised analyses performed on the volatile pattern acquired for these samples clearly showed the potential of volatile urinary metabolome to discriminate between RCC and control patients.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Central composite design; Gas chromatography-ion trap/mass spectrometry; Headspace solid-phase microextraction; Renal cell carcinoma; Urine; Volatile metabolomic profile

Mesh:

Substances:

Year:  2014        PMID: 24820933     DOI: 10.1016/j.ejca.2014.04.011

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  17 in total

1.  Volatile metabolomic signature of bladder cancer cell lines based on gas chromatography-mass spectrometry.

Authors:  Daniela Rodrigues; Joana Pinto; Ana Margarida Araújo; Sara Monteiro-Reis; Carmen Jerónimo; Rui Henrique; Maria de Lourdes Bastos; Paula Guedes de Pinho; Márcia Carvalho
Journal:  Metabolomics       Date:  2018-04-17       Impact factor: 4.290

2.  Implementing a central composite design for the optimization of solid phase microextraction to establish the urinary volatomic expression: a first approach for breast cancer.

Authors:  Catarina L Silva; Rosa Perestrelo; Pedro Silva; Helena Tomás; José S Câmara
Journal:  Metabolomics       Date:  2019-04-17       Impact factor: 4.290

Review 3.  Optimizing Mass Spectrometry Analyses: A Tailored Review on the Utility of Design of Experiments.

Authors:  Elizabeth S Hecht; Ann L Oberg; David C Muddiman
Journal:  J Am Soc Mass Spectrom       Date:  2016-03-07       Impact factor: 3.109

4.  Urine and Serum Metabolomics Analyses May Distinguish between Stages of Renal Cell Carcinoma.

Authors:  Oluyemi S Falegan; Mark W Ball; Rustem A Shaykhutdinov; Phillip M Pieroraio; Farshad Farshidfar; Hans J Vogel; Mohamad E Allaf; Matthew E Hyndman
Journal:  Metabolites       Date:  2017-02-03

5.  GC-MS metabolomics-based approach for the identification of a potential VOC-biomarker panel in the urine of renal cell carcinoma patients.

Authors:  Márcia Monteiro; Nathalie Moreira; Joana Pinto; Ana S Pires-Luís; Rui Henrique; Carmen Jerónimo; Maria de Lourdes Bastos; Ana M Gil; Márcia Carvalho; Paula Guedes de Pinho
Journal:  J Cell Mol Med       Date:  2017-04-04       Impact factor: 5.310

6.  MicroRNAs and Neutrophil Activation Markers Predict Venous Thrombosis in Pancreatic Ductal Adenocarcinoma and Distal Extrahepatic Cholangiocarcinoma.

Authors:  Julia Oto; Silvia Navarro; Anders C Larsen; María José Solmoirago; Emma Plana; David Hervás; Álvaro Fernández-Pardo; Francisco España; Søren R Kristensen; Ole Thorlacius-Ussing; Pilar Medina
Journal:  Int J Mol Sci       Date:  2020-01-28       Impact factor: 5.923

Review 7.  Biomarker Discovery in Human Prostate Cancer: an Update in Metabolomics Studies.

Authors:  Ana Rita Lima; Maria de Lourdes Bastos; Márcia Carvalho; Paula Guedes de Pinho
Journal:  Transl Oncol       Date:  2016-08       Impact factor: 4.243

8.  Discrimination between the human prostate normal and cancer cell exometabolome by GC-MS.

Authors:  Ana Rita Lima; Ana Margarida Araújo; Joana Pinto; Carmen Jerónimo; Rui Henrique; Maria de Lourdes Bastos; Márcia Carvalho; Paula Guedes de Pinho
Journal:  Sci Rep       Date:  2018-04-03       Impact factor: 4.379

9.  Exploring the potential of NTME/GC-MS, in the establishment of urinary volatomic profiles. Lung cancer patients as case study.

Authors:  Priscilla Porto-Figueira; Jorge Pereira; Wolfram Miekisch; José S Câmara
Journal:  Sci Rep       Date:  2018-08-30       Impact factor: 4.379

10.  An Optimization of Liquid-Liquid Extraction of Urinary Volatile and Semi-Volatile Compounds and Its Application for Gas Chromatography-Mass Spectrometry and Proton Nuclear Magnetic Resonance Spectroscopy.

Authors:  Natalia Drabińska; Piotr Młynarz; Ben de Lacy Costello; Peter Jones; Karolina Mielko; Justyna Mielnik; Raj Persad; Norman Mark Ratcliffe
Journal:  Molecules       Date:  2020-08-11       Impact factor: 4.411

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