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Results: 20

1.

Dietary medium chain fatty acid supplementation leads to reduced VLDL lipolysis and uptake rates in comparison to linoleic acid supplementation.

van Schalkwijk DB, Pasman WJ, Hendriks HF, Verheij ER, Rubingh CM, van Bochove K, Vaes WH, Adiels M, Freidig AP, de Graaf AA.

PLoS One. 2014 Jul 21;9(7):e100376. doi: 10.1371/journal.pone.0100376. eCollection 2014.

2.

Food allergy population thresholds: an evaluation of the number of oral food challenges and dosing schemes on the accuracy of threshold dose distribution modeling.

Klein Entink RH, Remington BC, Blom WM, Rubingh CM, Kruizinga AG, Baumert JL, Taylor SL, Houben GF.

Food Chem Toxicol. 2014 Aug;70:134-43. doi: 10.1016/j.fct.2014.05.001. Epub 2014 May 9.

PMID:
24815821
3.

Controlling false discovery rates in factorial experiments with between-subjects and within-subjects tests.

Schoen ED, Rubingh CM, Wopereis S, van Erk M.

BMC Res Notes. 2013 May 21;6:204. doi: 10.1186/1756-0500-6-204.

4.

Fish oil and inflammatory status alter the n-3 to n-6 balance of the endocannabinoid and oxylipin metabolomes in mouse plasma and tissues.

Balvers MG, Verhoeckx KC, Bijlsma S, Rubingh CM, Meijerink J, Wortelboer HM, Witkamp RF.

Metabolomics. 2012 Dec;8(6):1130-1147. Epub 2012 Apr 11.

5.

The Stokes number approach to support scale-up and technology transfer of a mixing process.

Willemsz TA, Hooijmaijers R, Rubingh CM, Frijlink HW, Vromans H, van der Voort Maarschalk K.

AAPS PharmSciTech. 2012 Sep;13(3):928-33. doi: 10.1208/s12249-012-9818-z. Epub 2012 Jun 26.

6.

Time-dependent effect of in vivo inflammation on eicosanoid and endocannabinoid levels in plasma, liver, ileum and adipose tissue in C57BL/6 mice fed a fish-oil diet.

Balvers MG, Verhoeckx KC, Meijerink J, Bijlsma S, Rubingh CM, Wortelboer HM, Witkamp RF.

Int Immunopharmacol. 2012 Jun;13(2):204-14. doi: 10.1016/j.intimp.2012.03.022. Epub 2012 Apr 9.

PMID:
22498761
7.

Plasma metabolomics and proteomics profiling after a postprandial challenge reveal subtle diet effects on human metabolic status.

Pellis L, van Erk MJ, van Ommen B, Bakker GC, Hendriks HF, Cnubben NH, Kleemann R, van Someren EP, Bobeldijk I, Rubingh CM, Wopereis S.

Metabolomics. 2012 Apr;8(2):347-359. Epub 2011 May 28.

8.

Visualization and identification of health space, based on personalized molecular phenotype and treatment response to relevant underlying biological processes.

Bouwman J, Vogels JT, Wopereis S, Rubingh CM, Bijlsma S, Ommen Bv.

BMC Med Genomics. 2012 Jan 6;5:1. doi: 10.1186/1755-8794-5-1.

9.

Kinetic energy density and agglomerate abrasion rate during blending of agglomerates into powders.

Willemsz TA, Hooijmaijers R, Rubingh CM, Tran TN, Frijlink HW, Vromans H, van der Voort Maarschalk K.

Eur J Pharm Sci. 2012 Jan 23;45(1-2):211-5. doi: 10.1016/j.ejps.2011.11.012. Epub 2011 Nov 23.

PMID:
22127372
10.

Dynamic metabolomic data analysis: a tutorial review.

Smilde AK, Westerhuis JA, Hoefsloot HC, Bijlsma S, Rubingh CM, Vis DJ, Jellema RH, Pijl H, Roelfsema F, van der Greef J.

Metabolomics. 2010 Mar;6(1):3-17. Epub 2009 Dec 4.

11.

An antiinflammatory dietary mix modulates inflammation and oxidative and metabolic stress in overweight men: a nutrigenomics approach.

Bakker GC, van Erk MJ, Pellis L, Wopereis S, Rubingh CM, Cnubben NH, Kooistra T, van Ommen B, Hendriks HF.

Am J Clin Nutr. 2010 Apr;91(4):1044-59. doi: 10.3945/ajcn.2009.28822. Epub 2010 Feb 24.

12.

Metabolomics data exploration guided by prior knowledge.

van den Berg RA, Rubingh CM, Westerhuis JA, van der Werf MJ, Smilde AK.

Anal Chim Acta. 2009 Oct 5;651(2):173-81. doi: 10.1016/j.aca.2009.08.029. Epub 2009 Aug 25.

PMID:
19782808
13.

Analyzing longitudinal microbial metabolomics data.

Rubingh CM, Bijlsma S, Jellema RH, Overkamp KM, van der Werf MJ, Smilde AK.

J Proteome Res. 2009 Sep;8(9):4319-27. doi: 10.1021/pr900126e.

PMID:
19624157
14.

Metabolic profiling of the response to an oral glucose tolerance test detects subtle metabolic changes.

Wopereis S, Rubingh CM, van Erk MJ, Verheij ER, van Vliet T, Cnubben NH, Smilde AK, van der Greef J, van Ommen B, Hendriks HF.

PLoS One. 2009;4(2):e4525. doi: 10.1371/journal.pone.0004525. Epub 2009 Feb 26.

15.

Matrix correlations for high-dimensional data: the modified RV-coefficient.

Smilde AK, Kiers HA, Bijlsma S, Rubingh CM, van Erk MJ.

Bioinformatics. 2009 Feb 1;25(3):401-5. doi: 10.1093/bioinformatics/btn634. Epub 2008 Dec 10.

16.

The effect of Korean pine nut oil on in vitro CCK release, on appetite sensations and on gut hormones in post-menopausal overweight women.

Pasman WJ, Heimerikx J, Rubingh CM, van den Berg R, O'Shea M, Gambelli L, Hendriks HF, Einerhand AW, Scott C, Keizer HG, Mennen LI.

Lipids Health Dis. 2008 Mar 20;7:10. doi: 10.1186/1476-511X-7-10.

17.

How to distinguish healthy from diseased? Classification strategy for mass spectrometry-based clinical proteomics.

Hendriks MM, Smit S, Akkermans WL, Reijmers TH, Eilers PH, Hoefsloot HC, Rubingh CM, de Koster CG, Aerts JM, Smilde AK.

Proteomics. 2007 Oct;7(20):3672-80.

PMID:
17880000
18.

Risk estimation for carcinogens based on epidemiological data: a structured approach, illustrated by an example on chromium.

Goldbohm RA, Tielemans EL, Heederik D, Rubingh CM, Dekkers S, Willems MI, Dinant Kroese E.

Regul Toxicol Pharmacol. 2006 Apr;44(3):294-310. Epub 2006 Feb 23.

PMID:
16497421
19.

Assessing the performance of statistical validation tools for megavariate metabolomics data.

Rubingh CM, Bijlsma S, Derks EP, Bobeldijk I, Verheij ER, Kochhar S, Smilde AK.

Metabolomics. 2006;2(2):53-61. Epub 2006 Jul 11.

20.

Validation and sensitivity analysis of probabilistic models of dietary exposure to micronutrients: an example based on vitamin B6.

Rubingh CM, Kruizinga AG, Hulshof KF, Brussaard JH.

Food Addit Contam. 2003 Oct;20 Suppl 1:S50-60.

PMID:
14555357
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