Literature DB >> 21511877

Comparative lipidomics profiling of human atherosclerotic plaques.

Christin Stegemann1, Ignat Drozdov, Joseph Shalhoub, Julia Humphries, Christophe Ladroue, Athanasios Didangelos, Mark Baumert, Mark Allen, Alun H Davies, Claudia Monaco, Alberto Smith, Qingbo Xu, Manuel Mayr.   

Abstract

BACKGROUND: We sought to perform a systematic lipid analysis of atherosclerotic plaques using emerging mass spectrometry techniques. METHODS AND
RESULTS: A chip-based robotic nanoelectrospray platform interfaced to a triple quadrupole mass spectrometer was adapted to analyze lipids in tissue sections and extracts from human endarterectomy specimens by shotgun lipidomics. Eighteen scans for different lipid classes plus additional scans for fatty acids resulted in the detection of 150 lipid species from 9 different classes of which 24 were detected in endarterectomies only. Further analyses focused on plaques from symptomatic and asymptomatic patients and stable versus unstable regions within the same lesion. Polyunsaturated cholesteryl esters with long-chain fatty acids and certain sphingomyelin species showed the greatest relative enrichment in plaques compared to plasma and formed part of a lipid signature for vulnerable and stable plaque areas in a systems-wide network analysis. In principal component analyses, the combination of lipid species across different classes provided a better separation of stable and unstable areas than individual lipid classes.
CONCLUSIONS: This comprehensive analysis of plaque lipids demonstrates the potential of lipidomics for unraveling the lipid heterogeneity within atherosclerotic lesions.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21511877     DOI: 10.1161/CIRCGENETICS.110.959098

Source DB:  PubMed          Journal:  Circ Cardiovasc Genet        ISSN: 1942-3268


  54 in total

1.  Is Lipidomic the Answer to the Search of a Biomarker for Organ Preservation Protocol in Head and Neck Squamous Cell Carcinoma?

Authors:  Ana Carolina Laus; Ismael Dale Cotrim Guerreiro da Silva; Fernanda Bertuccez Cordeiro; Edson Guimarães Lo Turco; Luciano de Souza Viana; André Lopes Carvalho
Journal:  Pathol Oncol Res       Date:  2017-11-13       Impact factor: 3.201

2.  Development of an automated multi-injection shotgun lipidomics approach using a triple quadrupole mass spectrometer.

Authors:  John A Bowden; Jackie T Bangma; John R Kucklick
Journal:  Lipids       Date:  2014-04-12       Impact factor: 1.880

3.  Increased lipogenesis and impaired β-oxidation predict type 2 diabetic kidney disease progression in American Indians.

Authors:  Farsad Afshinnia; Viji Nair; Jiahe Lin; Thekkelnaycke M Rajendiran; Tanu Soni; Jaeman Byun; Kumar Sharma; Patrice E Fort; Thomas W Gardner; Helen C Looker; Robert G Nelson; Frank C Brosius; Eva L Feldman; George Michailidis; Matthias Kretzler; Subramaniam Pennathur
Journal:  JCI Insight       Date:  2019-11-01

Review 4.  Lipidomic profiling at the interface of metabolic surgery and cardiovascular disease.

Authors:  Ryan H Ban; Virginia Kamvissi; Klaus-Martin Schulte; Stefan Richard Bornstein; Francesco Rubino; Juergen Graessler
Journal:  Curr Atheroscler Rep       Date:  2014-11       Impact factor: 5.113

5.  Systems proteomics for translational network medicine.

Authors:  D Kent Arrell; Andre Terzic
Journal:  Circ Cardiovasc Genet       Date:  2012-08-01

6.  Detection and confirmation of serum lipid biomarkers for preeclampsia using direct infusion mass spectrometry.

Authors:  Swati Anand; SydneyA Young; M Sean Esplin; Benjamin Peaden; H Dennis Tolley; T Flint Porter; Michael W Varner; Mary E D'Alton; Bruce J Jackson; Steven W Graves
Journal:  J Lipid Res       Date:  2016-02-18       Impact factor: 5.922

Review 7.  Lipidomic insight into cardiovascular diseases.

Authors:  Shohei Kohno; Audrey L Keenan; James M Ntambi; Makoto Miyazaki
Journal:  Biochem Biophys Res Commun       Date:  2018-04-19       Impact factor: 3.575

8.  Top-down lipidomics of low density lipoprotein reveal altered lipid profiles in advanced chronic kidney disease.

Authors:  Ana Reis; Alisa Rudnitskaya; Pajaree Chariyavilaskul; Neeraj Dhaun; Vanessa Melville; Jane Goddard; David J Webb; Andrew R Pitt; Corinne M Spickett
Journal:  J Lipid Res       Date:  2014-11-25       Impact factor: 5.922

Review 9.  Foam Cells: One Size Doesn't Fit All.

Authors:  Valentina Guerrini; Maria Laura Gennaro
Journal:  Trends Immunol       Date:  2019-11-12       Impact factor: 16.687

Review 10.  Lipidomics: Techniques, Applications, and Outcomes Related to Biomedical Sciences.

Authors:  Kui Yang; Xianlin Han
Journal:  Trends Biochem Sci       Date:  2016-09-20       Impact factor: 13.807

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.