Evidence map›Paper›PMID 29497765›Full record

ArticleAnalytical and bioanalytical chemistry2018

Development and application of a UHPLC-MS/MS metabolomics based comprehensive systemic and tissue-specific screening method for inflammatory, oxidative and nitrosative stress.

Johannes C Schoeman, Amy C Harms, Michel van Weeghel, Ruud Berger, Rob J Vreeken, Thomas Hankemeier

Open access · hybridAbstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 46 citations in OpenAlex.

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  8. Biomarkers for assessing pain and pain relief in the neonatal intensive care unit.Frontiers in pain research (Lausanne, Switzerland) · 2024
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  11. 1α,25-Dihydroxyvitamin DCurrent issues in molecular biology · 2023
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  12. Review
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  15. Nitro Fatty Acids (NOMolecules (Basel, Switzerland) · 2021
    Review
  16. Article
  17. Article
  18. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Johannes C SchoemanDepartment of Analytical Biosciences, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC, Leiden, Netherlands. j.c.schoeman@lacdr.leidenuniv.nl.
Amy C HarmsDepartment of Analytical Biosciences, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC, Leiden, Netherlands.
Michel van WeeghelDepartment of Analytical Biosciences, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC, Leiden, Netherlands.
Ruud BergerDepartment of Analytical Biosciences, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC, Leiden, Netherlands.
Rob J VreekenDepartment of Analytical Biosciences, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC, Leiden, Netherlands.
Thomas HankemeierDepartment of Analytical Biosciences, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC, Leiden, Netherlands.
Leiden University · NLNetherlands Metabolomics Centre · NLJanssen (Belgium) · BELeiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oxidative stress and inflammation are underlying pathogenic mechanisms associated with the progression of several pathological conditions and immunological responses. Elucidating the role of signalling lipid classes, which include, among others, the isoprostanes, nitro fatty acids, prostanoids, sphingoid bases and lysophosphatidic acids, will create a snapshot of the cause and effect of inflammation and oxidative stress at the metabolic level. Here we describe a fast, sensitive, and targeted ultra-high-performance liquid chromatography-tandem mass spectrometry metabolomics method that allows the quantitative measurement and biological elucidation of 17 isoprostanes as well as their respective isomeric prostanoid mediators, three nitro fatty acids, four sphingoid mediators, and 24 lysophosphatidic acid species from serum as well as organ tissues, including liver, lung, heart, spleen, kidney and brain. Application of this method to paired mouse serum and tissue samples revealed tissue- and serum-specific stress and inflammatory readouts. Little correlation was found between localized (tissue) metabolite levels compared with the systemic (serum) circulation in a homeostatic model. The application of this method in future studies will enable us to explore the role of signalling lipids in the metabolic pathogenicity of stress and inflammation during health and disease.

Indexed as

MetabolomeNitrosative StressOxidative StressAnimalsChromatography, High Pressure LiquidFatty AcidsHumansInflammationIsoprostanesLysophospholipidsMaleMetabolomicsMice, Inbred C57BLTandem Mass SpectrometryFatty AcidsIsoprostaneslysophosphatidic acidLysophospholipidsInflammationLiquid chromatography–tandem mass spectrometryMetabolomicsNitrosative stressOxidative stress

Identifiers

PMID29497765
PMCPMC5857282
OpenAlexW2794275440

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.