RPLC-Ion-Trap-FTMS Method for Lipid Profiling of Plasma: Method Validation and Application to p53 Mutant Mouse Model

Hu, Chunxiu; Dommelen, Judith van; Heijden, Rob van der; Spijksma, Gerwin; Reijmers, Theo H.; Wang, Mei; Slee, Elizabeth A.; Lü, Xin; Xu, Guowang; Greef, J. van der; Hankemeier, Thomas

doi:10.1021/pr800373m

Cited by 162 publications

(164 citation statements)

References 42 publications

Supporting

Mentioning

161

Contrasting

Order By: Relevance

“…Serum lipids were extracted by a modified Bligh/Dyer extraction procedure as previously described (22,23). Briefly, 30 mL internal standard mixture (see Supplementary Table 1 for details) was added to 30 mL serum followed by the addition of 540 mL CH 2 Cl 2 /MeOH (2:1, v/v).…”

Section: Lipid Extractionmentioning

confidence: 99%

Lipid Profiling Reveals Different Therapeutic Effects of Metformin and Glipizide in Patients With Type 2 Diabetes and Coronary Artery Disease

Zhang

Hong

et al. 2014

Diabetes Care

Self Cite

View full text Add to dashboard Cite

We recently demonstrated a beneficial effect of metformin compared with glipizide in type 2 diabetic patients regarding cardiovascular outcomes for 3-year treatment in the SPREAD-DIMCAD study. However, the potential mechanism for the clinical effects remains unclear. Here, we performed a comprehensive lipidomics study to evaluate the different lipid metabolites in serum samples obtained from participants in this study. RESEARCH DESIGN AND METHODSLiquid chromatography-quadrupole time of flight-mass spectrometry was used to evaluate the different lipid metabolites in serum samples obtained from the participants (21 patients in glipizide group and 23 patients in metformin group) before and after each year of treatment (at 0 [baseline], 1, 2, and 3 years of study drug administration). RESULTSA total of 118 serum lipid molecular species was identified and quantified. During treatment, metformin induced a substantially greater change in serum lipid species compared with glipizide, especially at the 2-and 3-year time points (with 2, 11, and 12 lipid species being significantly different between the groups after each year of treatment [1, 2, or 3 years], P < 0.05). Among the significantly changed lipid species, three lipid metabolites were linked to long-term composite cardiovascular events (adjusted P < 0.05). After treatment, triacylglycerols (TAGs) of a relatively higher carbon number showed a clearly increased trend in metformin group compared with the glipizide group, whereas the changes in TAGs with different double bonds were minimal. CONCLUSIONSOur findings revealed the differential therapeutic effects of metformin and glipizide on comprehensive lipidomics, which were comparable with their different long-term effects on cardiovascular outcomes.

show abstract

Section: Lipid Extractionmentioning

confidence: 99%

Lipid Profiling Reveals Different Therapeutic Effects of Metformin and Glipizide in Patients With Type 2 Diabetes and Coronary Artery Disease

Zhang

Hong

et al. 2014

Diabetes Care

Self Cite

View full text Add to dashboard Cite

show abstract

“…Analytes were separated on a C 8 AQUITY TM column (2.1 mm × 100 mm, 1.7 m, Waters) at 55 • C by Agilent 1290 Infinity LC System using elution solvent adopted from previous method [27]. Flow rate was 0.26 mL/min.…”

Section: Lc-ms/ms Based Analysismentioning

confidence: 99%

Large-scaled human serum sphingolipid profiling by using reversed-phase liquid chromatography coupled with dynamic multiple reaction monitoring of mass spectrometry: Method development and application in hepatocellular carcinoma

Zhao

et al. 2013

Journal of Chromatography A

Self Cite

View full text Add to dashboard Cite

“…This lipidome platform was based on the protocol given by Hu et al, (2008) and Castro-Perez et al, (2011) and was described in detail in the previous study by Jansen et al, (2011) …”

Section: Lipid Profilementioning

confidence: 99%

Gender-Dependent Associations of Metabolite Profiles and Body Fat Distribution in a Healthy Population with Central Obesity: Towards Metabolomics Diagnostics

Szymańska

Bouwman

Strassburg

et al. 2012

OMICS: A Journal of Integrative Biology

View full text Add to dashboard Cite

Gender-dependent associations of metabolite profiles and body fat distribution in a healthy population with central obesity: towards metabolomics diagnostics Szymanska, E.; Bouwman, J.; Strassburg, K.; Vervoort, J.; Kangas, A.J.; Soininen, P.; AlaKorpela, M.; Westerhuis, J.A.; van Duynhoven, J.P.M.; Mela, D.J.; Macdonald, I.A.; Vreeken, R.J.; Smilde, A.K.; Jacobs, D.M. Published in: Omics DOI:10.1089/omi.2012.0062 Link to publication Citation for published version (APA):Szymaska, E., Bouwman, J., Strassburg, K., Vervoort, J., Kangas, A. J., Soininen, P., ... Jacobs, D. M. (2012). Gender-dependent associations of metabolite profiles and body fat distribution in a healthy population with central obesity: towards metabolomics diagnostics. Omics, 16(12), 652-667. DOI: 10.1089/omi.2012.0062 General rightsIt is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulationsIf you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. AbstractObesity is a risk factor for cardiovascular diseases and type 2 diabetes especially when the fat is accumulated to central depots. Novel biomarkers are crucial to develop diagnostics for obesity and related metabolic disorders. We evaluated the associations between metabolite profiles (136 lipid components, 12 lipoprotein subclasses, 17 low-molecular-weight metabolites, 12 clinical markers) and 28 phenotype parameters (including different body fat distribution parameters such as android (A), gynoid (G), abdominal visceral (VAT), subcutaneous (SAT) fat) in 215 plasma/serum samples from healthy overweight men (n = 32) and women (n = 83) with central obesity.(Partial) correlation analysis and partial least squares (PLS) regression analysis showed that only specific metabolites were associated to A:G ratio, VAT, and SAT, respectively. These association patterns were gender dependent. For example, insulin, cholesterol, VLDL, and certain triacylglycerols (TG 54:1-3) correlated to VAT in women, while in men VAT was associated with TG 50:1-5, TG 55:1, phosphatidylcholine (PC 32:0), and VLDL ((X)L). Moreover, multiple regression analysis revealed that waist circumference and total fat were sufficient to predict VAT and SAT in women. In contrast, only VAT but not SAT could be predicted in men and only when plasma metabolites were included, with PC 32:0 being most strongly associated with VAT. These findings collectively highlight the p...

show abstract

RPLC-Ion-Trap-FTMS Method for Lipid Profiling of Plasma: Method Validation and Application to p53 Mutant Mouse Model

Cited by 162 publications

References 42 publications

Lipid Profiling Reveals Different Therapeutic Effects of Metformin and Glipizide in Patients With Type 2 Diabetes and Coronary Artery Disease

Lipid Profiling Reveals Different Therapeutic Effects of Metformin and Glipizide in Patients With Type 2 Diabetes and Coronary Artery Disease

Large-scaled human serum sphingolipid profiling by using reversed-phase liquid chromatography coupled with dynamic multiple reaction monitoring of mass spectrometry: Method development and application in hepatocellular carcinoma

Gender-Dependent Associations of Metabolite Profiles and Body Fat Distribution in a Healthy Population with Central Obesity: Towards Metabolomics Diagnostics

Contact Info

Product

Resources

About