Isopropanol extraction for cerebrospinal fluid lipidomic profiling analysis.


Journal

Talanta
ISSN: 1873-3573
Titre abrégé: Talanta
Pays: Netherlands
ID NLM: 2984816R

Informations de publication

Date de publication:
01 Apr 2019
Historique:
received: 17 07 2018
revised: 26 11 2018
accepted: 28 11 2018
entrez: 11 1 2019
pubmed: 11 1 2019
medline: 21 3 2019
Statut: ppublish

Résumé

The cerebrospinal fluid (CSF) lipidome is attracting increasing attention due to the importance of lipids in brain molecular signaling and their involvement in several neurological diseases. Different solvent systems have been used for the extraction of multiple lipid classes from CSF but no comparative study of the effectiveness of these protocols has been carried out. To optimize CSF lipid extraction for lipidomic measurements by untargeted ultra-high performance liquid chromatography - mass spectrometry, we evaluate and compare two sample preparation protocols, one involving protein precipitation with isopropanol (IPA) and other consisting of a liquid-liquid extraction with chloroform-methanol. For that purpose, human CSF from neurologically healthy and normolipidemic volunteers was used. The criteria established to compare these two methods were based on four critical aspects of sample preparation: simplicity, lipid coverage, reproducibility and recovery efficiencies. We found that both methods were highly reproducible techniques (>75% of the lipids with coefficient of variation (CV) <30%). In terms of recovery, the single-step IPA procedure yielded better values for most of the lipid classes and it was less toxic and simpler than the liquid-liquid extraction method. In relation to lipid coverage, variation in selectivity was observed between methods, providing evidence that IPA was more selective for polar lipids. Overall, IPA precipitation provides excellent results in terms of simplicity of execution, lipid coverage, reproducibility and recovery. We conclude that it is a choice procedure for large-scale, untargeted lipid profiling using UHPLC-MS in CSF analysis.

Identifiants

pubmed: 30625592
pii: S0039-9140(18)31253-0
doi: 10.1016/j.talanta.2018.11.101
pii:
doi:

Substances chimiques

Lipids 0
Solvents 0
Chloroform 7V31YC746X
2-Propanol ND2M416302
Methanol Y4S76JWI15

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

619-627

Informations de copyright

Copyright © 2018 Elsevier B.V. All rights reserved.

Auteurs

Ane Iriondo (A)

Center for Research and Advanced Therapies. CITA-Alzheimer Foundation, Mikeletegi 71, 20009 Donostia-San Sebastian, Gipuzkoa, Spain. Electronic address: airiondo@cita-alzheimer.org.

Mikel Tainta (M)

Center for Research and Advanced Therapies. CITA-Alzheimer Foundation, Mikeletegi 71, 20009 Donostia-San Sebastian, Gipuzkoa, Spain. Electronic address: mtainta@cita-alzheimer.org.

Jon Saldias (J)

Center for Research and Advanced Therapies. CITA-Alzheimer Foundation, Mikeletegi 71, 20009 Donostia-San Sebastian, Gipuzkoa, Spain. Electronic address: jsaldias@cita-alzheimer.org.

Maria Arriba (M)

Center for Research and Advanced Therapies. CITA-Alzheimer Foundation, Mikeletegi 71, 20009 Donostia-San Sebastian, Gipuzkoa, Spain. Electronic address: marriba@cita-alzheimer.org.

Begoña Ochoa (B)

Lipids & Liver Research Group, Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940 Leioa, Bizkaia, Spain. Electronic address: begona.ochoa@ehu.eus.

Felix M Goñi (FM)

Departamento de Bioquímica, University of the Basque Country (UPV/EHU) and Instituto Biofisika (CSIC), Barrio Sarriena s/n, 48940 Leioa, Bizkaia, Spain. Electronic address: felix.goni@ehu.eus.

Pablo Martinez-Lage (P)

Center for Research and Advanced Therapies. CITA-Alzheimer Foundation, Mikeletegi 71, 20009 Donostia-San Sebastian, Gipuzkoa, Spain. Electronic address: pmlage@cita-alzheimer.org.

Beatriz Abad-García (B)

Central Analysis Service, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940 Leioa, Bizkaia, Spain. Electronic address: beatriz.abad@ehu.eus.

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Classifications MeSH