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Metabolomics profiling of the free and total oxidised lipids in urine by LC-MS/MS: application in patients with rheumatoid arthritis

Overview of attention for article published in Analytical & Bioanalytical Chemistry, July 2016
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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Title
Metabolomics profiling of the free and total oxidised lipids in urine by LC-MS/MS: application in patients with rheumatoid arthritis
Published in
Analytical & Bioanalytical Chemistry, July 2016
DOI 10.1007/s00216-016-9742-2
Pubmed ID
Authors

Junzeng Fu, Johannes C. Schoeman, Amy C. Harms, Herman A. van Wietmarschen, Rob J. Vreeken, Ruud Berger, Bart V. J. Cuppen, Floris P. J. G. Lafeber, Jan van der Greef, Thomas Hankemeier

Abstract

Oxidised lipids, covering enzymatic and auto-oxidation-synthesised mediators, are important signalling metabolites in inflammation while also providing a readout for oxidative stress, both of which are prominent physiological processes in a plethora of diseases. Excretion of these metabolites via urine is enhanced through the phase-II conjugation with glucuronic acid, resulting in increased hydrophilicity of these lipid mediators. Here, we developed a bovine liver-β-glucuronidase hydrolysing sample preparation method, using liquid chromatography coupled to tandem mass spectrometry to analyse the total urinary oxidised lipid profile including the prostaglandins, isoprostanes, dihydroxy-fatty acids, hydroxy-fatty acids and the nitro-fatty acids. Our method detected more than 70 oxidised lipids biosynthesised from two non-enzymatic and three enzymatic pathways in urine samples. The total oxidised lipid profiling method was developed and validated for human urine and was demonstrated for urine samples from patients with rheumatoid arthritis. Pro-inflammatory mediators PGF2α and PGF3α and oxidative stress markers iPF2α- IV, 11-HETE and 14-HDoHE were positively associated with improvement of disease activity score. Furthermore, the anti-inflammatory nitro-fatty acids were negatively associated with baseline disease activity. In conclusion, the developed methodology expands the current metabolic profiling of oxidised lipids in urine, and its application will enhance our understanding of the role these bioactive metabolites play in health and disease.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Netherlands 1 1%
Unknown 79 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 25%
Researcher 13 16%
Student > Bachelor 10 12%
Student > Master 7 9%
Professor > Associate Professor 5 6%
Other 12 15%
Unknown 14 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 15%
Medicine and Dentistry 12 15%
Biochemistry, Genetics and Molecular Biology 10 12%
Pharmacology, Toxicology and Pharmaceutical Science 10 12%
Chemistry 8 10%
Other 11 14%
Unknown 18 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 March 2022.
All research outputs
#7,968,106
of 25,394,764 outputs
Outputs from Analytical & Bioanalytical Chemistry
#1,862
of 9,624 outputs
Outputs of similar age
#123,843
of 370,130 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#18
of 170 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 9,624 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 79% of its peers.
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 370,130 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 170 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.