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Analysis of cholesterol in mouse brain by HPLC with UV detection
We describe a sensitive high performance liquid chromatography (HPLC)-based method for the determination of cholesterol in brain tissue. The method does not require the derivatization of the analyte and uses separation and quantification by reversed-phase HPLC coupled to UV detection. Lipids were me...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6980532/ https://www.ncbi.nlm.nih.gov/pubmed/31978159 http://dx.doi.org/10.1371/journal.pone.0228170 |
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author | Paulazo, María A. Sodero, Alejandro O. |
author_facet | Paulazo, María A. Sodero, Alejandro O. |
author_sort | Paulazo, María A. |
collection | PubMed |
description | We describe a sensitive high performance liquid chromatography (HPLC)-based method for the determination of cholesterol in brain tissue. The method does not require the derivatization of the analyte and uses separation and quantification by reversed-phase HPLC coupled to UV detection. Lipids were methanol/chloroform extracted following the method of Bligh and Dyer, and separated using isopropanol/acetonitrile/water (60/30/10, v/v/v) as mobile phase. We observed lineal detection in a wide range of concentrations, from 62.5 to 2000 ng/μL, and were able to detect a significant increase in the brain cholesterol levels between postnatal days 2 and 10 in C57BL6 mice. Based on our validation parameters, we consider this analytical method a useful tool to assess free cholesterol in rodent brain samples and cell cultures. |
format | Online Article Text |
id | pubmed-6980532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-69805322020-02-04 Analysis of cholesterol in mouse brain by HPLC with UV detection Paulazo, María A. Sodero, Alejandro O. PLoS One Research Article We describe a sensitive high performance liquid chromatography (HPLC)-based method for the determination of cholesterol in brain tissue. The method does not require the derivatization of the analyte and uses separation and quantification by reversed-phase HPLC coupled to UV detection. Lipids were methanol/chloroform extracted following the method of Bligh and Dyer, and separated using isopropanol/acetonitrile/water (60/30/10, v/v/v) as mobile phase. We observed lineal detection in a wide range of concentrations, from 62.5 to 2000 ng/μL, and were able to detect a significant increase in the brain cholesterol levels between postnatal days 2 and 10 in C57BL6 mice. Based on our validation parameters, we consider this analytical method a useful tool to assess free cholesterol in rodent brain samples and cell cultures. Public Library of Science 2020-01-24 /pmc/articles/PMC6980532/ /pubmed/31978159 http://dx.doi.org/10.1371/journal.pone.0228170 Text en © 2020 Paulazo, Sodero http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Paulazo, María A. Sodero, Alejandro O. Analysis of cholesterol in mouse brain by HPLC with UV detection |
title | Analysis of cholesterol in mouse brain by HPLC with UV detection |
title_full | Analysis of cholesterol in mouse brain by HPLC with UV detection |
title_fullStr | Analysis of cholesterol in mouse brain by HPLC with UV detection |
title_full_unstemmed | Analysis of cholesterol in mouse brain by HPLC with UV detection |
title_short | Analysis of cholesterol in mouse brain by HPLC with UV detection |
title_sort | analysis of cholesterol in mouse brain by hplc with uv detection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6980532/ https://www.ncbi.nlm.nih.gov/pubmed/31978159 http://dx.doi.org/10.1371/journal.pone.0228170 |
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