Literature DB >> 29871827

Validation of metabolomics analysis of human perilymph fluid using liquid chromatography-mass spectroscopy.

Sylvie Mavel1, Antoine Lefèvre1, David Bakhos2, Diane Dufour-Rainfray1, Hélène Blasco1, Patrick Emond3.   

Abstract

Although there is some data from animal studies, the metabolome of inner ear fluid in humans remains unknown. Characterization of the metabolome of the perilymph would allow for better understanding of its role in auditory function and for identification of biomarkers that might allow prediction of response to therapeutics. There is a major technical challenge due to the small sample of perilymph fluid available for analysis (sub-microliter). The objectives of this study were to develop and validate a methodology for analysis of perilymph metabolome using liquid chromatography-high resolution mass spectrometry (LC-HRMS). Due to the low availability of perilymph fluid; a methodological study was first performed using low volumes (0.8 μL) of cerebrospinal fluid (CSF) and optimized the LC-HRMS parameters using targeted and non-targeted metabolomics approaches. We obtained excellent parameters of reproducibility for about 100 metabolites. This methodology was then used to analyze perilymph fluid using two complementary chromatographic supports: reverse phase (RP-C18) and hydrophilic interaction liquid chromatography (HILIC). Both methods were highly robust and showed their complementarity, thus reinforcing the interest to combine these chromatographic supports. A fingerprinting was obtained from 98 robust metabolites (analytical variability <30%), where amino acids (e.g., asparagine, valine, glutamine, alanine, etc.), carboxylic acids and derivatives (e.g., lactate, carnitine, trigonelline, creatinine, etc.) were observed as first-order signals. This work lays the foundations of a robust analytical workflow for the exploration of the perilymph metabolome dedicated to the research of biomarkers for the diagnosis/prognosis of auditory pathologies.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Analytical optimization; CSF; Fingerprinting; Inner ear fluid; LC-MS; Metabolic profiling

Mesh:

Substances:

Year:  2018        PMID: 29871827     DOI: 10.1016/j.heares.2018.05.016

Source DB:  PubMed          Journal:  Hear Res        ISSN: 0378-5955            Impact factor:   3.208


  7 in total

1.  Auditory metabolomics, an approach to identify acute molecular effects of noise trauma.

Authors:  Lingchao Ji; Ho-Joon Lee; Guoqiang Wan; Guo-Peng Wang; Li Zhang; Peter Sajjakulnukit; Jochen Schacht; Costas A Lyssiotis; Gabriel Corfas
Journal:  Sci Rep       Date:  2019-06-25       Impact factor: 4.379

2.  Relationship between Metabolomics Profile of Perilymph in Cochlear-Implanted Patients and Duration of Hearing Loss.

Authors:  Thuy-Trân Trinh; Hélène Blasco; Patrick Emond; Christian Andres; Antoine Lefevre; Emmanuel Lescanne; David Bakhos
Journal:  Metabolites       Date:  2019-11-01

3.  Proteome profile of patients with excellent and poor speech intelligibility after cochlear implantation: Can perilymph proteins predict performance?

Authors:  Martin Durisin; Caroline Krüger; Andreas Pich; Athanasia Warnecke; Melanie Steffens; Carsten Zeilinger; Thomas Lenarz; Nils Prenzler; Heike Schmitt
Journal:  PLoS One       Date:  2022-03-03       Impact factor: 3.240

4.  Immediate-Early Modifications to the Metabolomic Profile of the Perilymph Following an Acoustic Trauma in a Sheep Model.

Authors:  Luc Boullaud; Hélène Blasco; Eliott Caillaud; Patrick Emond; David Bakhos
Journal:  J Clin Med       Date:  2022-08-10       Impact factor: 4.964

5.  An LCMS-based untargeted metabolomics protocol for cochlear perilymph: highlighting metabolic effects of hydrogen gas on the inner ear of noise exposed Guinea pigs.

Authors:  Kristian Pirttilä; Pernilla Videhult Pierre; Jakob Haglöf; Mikael Engskog; Mikael Hedeland; Göran Laurell; Torbjörn Arvidsson; Curt Pettersson
Journal:  Metabolomics       Date:  2019-10-05       Impact factor: 4.290

Review 6.  Metabolomic Studies in Inner Ear Pathologies.

Authors:  Luc Boullaud; Hélène Blasco; Thuy-Trân Trinh; David Bakhos
Journal:  Metabolites       Date:  2022-02-26

Review 7.  Extracellular Biomarkers of Inner Ear Disease and Their Potential for Point-of-Care Diagnostics.

Authors:  Sahar Sadat Mahshid; Aliaa Monir Higazi; Jacqueline Michelle Ogier; Alain Dabdoub
Journal:  Adv Sci (Weinh)       Date:  2021-12-26       Impact factor: 16.806

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.