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Evaluation of oxidized phospholipids analysis by LC-MS/MS

Overview of attention for article published in Analytical & Bioanalytical Chemistry, November 2017
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Title
Evaluation of oxidized phospholipids analysis by LC-MS/MS
Published in
Analytical & Bioanalytical Chemistry, November 2017
DOI 10.1007/s00216-017-0764-1
Pubmed ID
Authors

Spiro Khoury, Corinne Pouyet, Bernard Lyan, Estelle Pujos-Guillot

Abstract

Phospholipids (PLs) represent a class of metabolites of interest for evaluating the relationship between diet and the development of several metabolic diseases. Given that PLs are rich in unsaturated fatty acids, they can be oxidized. Because of their structure and reactivity, oxidized phospholipids (PLs-Ox) are increasingly recognized as markers of oxidative stress and of various diseases associated with inflammation. Therefore, there is a growing interest in studying PLs-Ox in lipidomics. Because of their limited commercial availability, very little information is currently available in databases to identify these molecules. The aim of this study is to acquire new knowledge about PLs-Ox in order to propose an analytical strategy for their analyses. For this purpose, a synthesis method of PLs-Ox, in auto-oxidation, has been developed and applied on phosphatidylcholine and phosphatidylethanolamine molecular species with various chain lengths, degree, and position of unsaturations. An analysis method based on mass (MS) and tandem mass spectrometry coupled to electrospray ionization was then developed and enabled the identification of a great diversity of long- and short-chain oxidation products. Formation kinetics of oxidation products was evaluated. Results showed that the formation of oxidized compounds was largely influenced by the degree of unsaturation on fatty acid chains. Oxidation time promotes the formation of some biologically important oxidation products. Coupling the MS method with liquid chromatography in flow injection analysis mode enabled the development of a full analytical strategy. Structural analysis of PLs-Ox allowed the enrichment of databases with important information to identify these molecules in biological matrices.

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The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 28%
Researcher 7 18%
Student > Master 5 13%
Student > Postgraduate 2 5%
Professor 1 3%
Other 3 8%
Unknown 10 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 21%
Chemistry 7 18%
Pharmacology, Toxicology and Pharmaceutical Science 5 13%
Agricultural and Biological Sciences 2 5%
Immunology and Microbiology 2 5%
Other 2 5%
Unknown 13 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 January 2018.
All research outputs
#15,745,807
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#4,753
of 9,619 outputs
Outputs of similar age
#244,034
of 446,708 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#46
of 160 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 446,708 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 160 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.