Literature DB >> 28650171

Comprehensive Lipoprotein Characterization Using Lipidomics Analysis of Human Plasma.

Nicolas Christinat1, Mojgan Masoodi1.   

Abstract

Lipoproteins are responsible for the transport of lipids and other nutrients in the circulation and therefore play an important role in lipid metabolism and dyslipidemia. They have also been linked to multiple metabolic disorders including cardiovascular disease, and thus understanding their lipid composition is of crucial importance. Characterization of lipoproteins is a challenging task due to their heterogeneity. In particular, their fractionation is often laborious and time-consuming, making large sets of clinical samples difficult to analyze. We developed and validated lipidomics analysis of lipoproteins including chylomicrons, very low-density, low-density, and high-density lipoproteins. Lipoproteins were first fractionated by polyacrylamide tube gel electrophoresis, and, after liquid-liquid extraction, lipids were analyzed by direct-infusion mass spectrometry. About 100 unique lipid species were detected with good reproducibility and reliability. In addition to their lipid composition, valuable information on the fatty acid composition of lipoproteins and lipids was obtained. The presented method offers in-depth analysis of the lipid as well as fatty acid composition of lipoproteins while allowing a good sample throughput. It is thus especially suited for studying lipid associated diseases in clinical cohorts.

Entities:  

Keywords:  fatty acids; lipidomics; lipids; plasma lipoproteins; tube gel electrophoresis

Mesh:

Substances:

Year:  2017        PMID: 28650171     DOI: 10.1021/acs.jproteome.7b00236

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  9 in total

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Review 2.  Lipidomics in Biomarker Research.

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Review 3.  Metabolomics and lipidomics in NAFLD: biomarkers and non-invasive diagnostic tests.

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Journal:  Nat Rev Gastroenterol Hepatol       Date:  2021-09-10       Impact factor: 46.802

4.  Coronary Artery Disease Risk and Lipidomic Profiles Are Similar in Hyperlipidemias With Family History and Population-Ascertained Hyperlipidemias.

Authors:  Joel T Rämö; Pietari Ripatti; Rubina Tabassum; Sanni Söderlund; Niina Matikainen; Mathias J Gerl; Christian Klose; Michal A Surma; Nathan O Stitziel; Aki S Havulinna; Matti Pirinen; Veikko Salomaa; Nelson B Freimer; Matti Jauhiainen; Aarno Palotie; Marja-Riitta Taskinen; Kai Simons; Samuli Ripatti
Journal:  J Am Heart Assoc       Date:  2019-06-29       Impact factor: 5.501

Review 5.  A Review of Lipidomics of Cardiovascular Disease Highlights the Importance of Isolating Lipoproteins.

Authors:  Ming Ding; Kathryn M Rexrode
Journal:  Metabolites       Date:  2020-04-23

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Authors:  Jaco Botha; Aase Handberg; Jens B Simonsen
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Review 7.  Lipidomics unveils the complexity of the lipidome in metabolic diseases.

Authors:  Todd A Lydic; Young-Hwa Goo
Journal:  Clin Transl Med       Date:  2018-01-26

8.  Machine learning of human plasma lipidomes for obesity estimation in a large population cohort.

Authors:  Mathias J Gerl; Christian Klose; Michal A Surma; Celine Fernandez; Olle Melander; Satu Männistö; Katja Borodulin; Aki S Havulinna; Veikko Salomaa; Elina Ikonen; Carlo V Cannistraci; Kai Simons
Journal:  PLoS Biol       Date:  2019-10-18       Impact factor: 8.029

9.  Lipidomics of human adipose tissue reveals diversity between body areas.

Authors:  Naba Al-Sari; Tommi Suvitaival; Ismo Mattila; Ashfaq Ali; Linda Ahonen; Kajetan Trost; Trine Foged Henriksen; Flemming Pociot; Lars Ove Dragsted; Cristina Legido-Quigley
Journal:  PLoS One       Date:  2020-06-16       Impact factor: 3.240

  9 in total

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