Forskning
Udskriv Udskriv
Switch language
Region Hovedstaden - en del af Københavns Universitetshospital
Udgivet

In-vial dual extraction liquid chromatography coupled to mass spectrometry applied to streptozotocin-treated diabetic rats. Tips and pitfalls of the method

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  1. Separation of steroid isomers by ion mobility mass spectrometry

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  1. Polyols and Branched Chained Amino Acids Are Associated with Present and Future Renal Impairment in Type 1 Diabetes

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningpeer review

  2. Cell populations and molecular biomarkers in blood and urine characterise nephropathy in type 1 diabetes

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningpeer review

  3. Circulating metabolites are associated with present and future renal impairment in type 1 Diabetes

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningpeer review

  4. Low carbohydrate diet elevates blood sphingomyelin in people with type 1 diabetes

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningpeer review

  5. Renal function dominates the landscape of the metabolome in type 1 diabetes

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningpeer review

Vis graf over relationer

The aim of metabolomics studies is the comprehensive and quantitative analysis of all metabolites in a cell, tissue or organism. This approach requires sample preparation methods to be fast, reproducible and able to extract a wide range of analytes with different polarities, as well as analytical platforms able to detect the extracted metabolites. Recently, we have developed a one-step extraction method consisting of a lipophilic and hydrophilic layer within a single vial insert, in-vial dual extraction (IVDE). In order to check possible application of this method to real biological case, analysis of plasma samples obtained from three streptozotocin-induced diabetic and three control rats was performed. Analytical validity of the method was proved by the calculation (in quality control samples) of relative standard deviation (RSD) for detected metabolites. The percentage of metabolites with RSD<30% was 93% for Fatty acyls, 80% for Glycerolipids, 93% for Glycerophospholipids, 68% for Sterol lipids, and 91% for Sphingolipids. IVDE allowed for selection of more than 600 different features discriminating two studied groups. For around 40% of these masses putative identification was possible. Adequate, with several considerations described within this paper, application of IVDE method enables wide metabolite coverage from a single 20μL plasma aliquot. Within the features putatively identified, glycerolipids and glycerophospholipids arose as the most important groups of compounds discriminating diabetic rats from controls. All discriminating metabolites give an idea of the large metabolic differences that can be present in non-controlled type 1 diabetes.

OriginalsprogEngelsk
TidsskriftJournal of Chromatography
Vol/bind1304
Sider (fra-til)52-60
Antal sider9
ISSN0021-9673
DOI
StatusUdgivet - 23 aug. 2013
Eksternt udgivetJa

ID: 54960961