Repeated administration of the NSAID meloxicam alters the plasma and urine lipidome View Full Text


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Article Info

DATE

2019-12

AUTHORS

Sol M. Rivera-Velez, Liam E. Broughton-Neiswanger, Martin Suarez, Pablo Piñeyro, Jinna Navas, Sandy Chen, Julianne Hwang, Nicolas F. Villarino

ABSTRACT

Non-steroidal anti-inflammatories (NSAIDs), such as meloxicam, are the mainstay for treating painful and inflammatory conditions in animals and humans; however, the repeated administration of NSAIDs can cause adverse effects, limiting the long-term administration of these drugs to some patients. The primary aim of this study was to determine the effects of repeated meloxicam administration on the feline plasma and urine lipidome. Cats (n = 12) were treated subcutaneously with either saline solution or 0.3 mg/kg body weight of meloxicam daily for up to 31 days. Plasma and urine lipidome were determined by LC-MS before the first treatment and at 4, 9 and 13 and 17 days after the first administration of meloxicam. The repeated administration of meloxicam altered the feline plasma and urine lipidome as demonstrated by multivariate statistical analysis. The intensities of 94 out of 195 plasma lipids were altered by the repeated administration of meloxicam to cats (p < 0.05). Furthermore, we identified 12 lipids in plasma and 10 lipids in urine that could serve as biomarker candidates for discriminating animals receiving NSAIDs from healthy controls. Expanding our understanding about the effects of NSAIDs in the body could lead to the discovery of mechanism(s) associated with intolerance to NSAIDs. More... »

PAGES

4303

References to SciGraph publications

  • 2018-12. Lipidomics: a promising cancer biomarker in CLINICAL AND TRANSLATIONAL MEDICINE
  • 2015-05. Indomethacin suppresses LAMP-2 expression and induces lipophagy and lipoapoptosis in rat enterocytes via the ER stress pathway in JOURNAL OF GASTROENTEROLOGY
  • 2017-12. Untargeted metabolomic analysis in naturally occurring canine diabetes mellitus identifies similarities to human Type 1 Diabetes in SCIENTIFIC REPORTS
  • 2006-04. Pharmaco-metabonomic phenotyping and personalized drug treatment in NATURE
  • 2012-06. Double-check: validation of diagnostic statistics for PLS-DA models in metabolomics studies in METABOLOMICS
  • 2016-07. Dynamic Assessment of Functional Lipidomic Analysis in Human Urine in LIPIDS
  • 2016-07. Emerging applications of metabolomics in drug discovery and precision medicine in NATURE REVIEWS DRUG DISCOVERY
  • 2008-04-22. Technology Insight: metabonomics in gastroenterology—basic principles and potential clinical applications in NATURE REVIEWS GASTROENTEROLOGY & HEPATOLOGY
  • 2016-08. Using a lipidomics approach for nutritional phenotyping in response to a test meal containing gamma-linolenic acid in METABOLOMICS
  • 2016-01. Dynamic analysis of phospholipid metabolism of mouse macrophages treated with common non-steroidal anti-inflammatory drugs in MOLECULAR AND CELLULAR BIOCHEMISTRY
  • 2011-10. Global urinary metabolic profiling procedures using gas chromatography–mass spectrometry in NATURE PROTOCOLS
  • 2011-05. Aberrant lipid metabolism disrupts calcium homeostasis causing liver endoplasmic reticulum stress in obesity in NATURE
  • 2016-11. Lipidomics for studying metabolism in NATURE REVIEWS ENDOCRINOLOGY
  • 2014-12. Supervised prediction of drug-induced nephrotoxicity based on interleukin-6 and -8 expression levels in BMC BIOINFORMATICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41598-019-40686-4

    DOI

    http://dx.doi.org/10.1038/s41598-019-40686-4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112734676

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30867479


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    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40686-4'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40686-4'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40686-4'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40686-4'


     

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