Bijlsma S - Search Results

1

Allergen risk assessment: Food intake levels of the general population represent those of food allergic patients.

Blom WM, van Os-Medendorp H, Bijlsma S, van Dijk A, Kruizinga AG, Rubingh C, Michelsen-Huisman AD, Knulst AC, Houben GF. Blom WM, et al. Among authors: bijlsma s. Food Chem Toxicol. 2020 Dec;146:111781. doi: 10.1016/j.fct.2020.111781. Epub 2020 Sep 26. Food Chem Toxicol. 2020. PMID: 32987111

2

Analyzing longitudinal microbial metabolomics data.

Rubingh CM, Bijlsma S, Jellema RH, Overkamp KM, van der Werf MJ, Smilde AK. Rubingh CM, et al. Among authors: bijlsma s. J Proteome Res. 2009 Sep;8(9):4319-27. doi: 10.1021/pr900126e. J Proteome Res. 2009. PMID: 19624157

3

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. Bouwman J, et al. Among authors: bijlsma s. BMC Med Genomics. 2012 Jan 6;5:1. doi: 10.1186/1755-8794-5-1. BMC Med Genomics. 2012. PMID: 22221319 Free PMC article. Clinical Trial.

4

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. Balvers MG, et al. Among authors: bijlsma s. Int Immunopharmacol. 2012 Jun;13(2):204-14. doi: 10.1016/j.intimp.2012.03.022. Epub 2012 Apr 9. Int Immunopharmacol. 2012. PMID: 22498761

5

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. Balvers MG, et al. Among authors: bijlsma s. Metabolomics. 2012 Dec;8(6):1130-1147. doi: 10.1007/s11306-012-0421-9. Epub 2012 Apr 11. Metabolomics. 2012. PMID: 23136559 Free PMC article.

6

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. Rubingh CM, et al. Among authors: bijlsma s. Metabolomics. 2006;2(2):53-61. doi: 10.1007/s11306-006-0022-6. Epub 2006 Jul 11. Metabolomics. 2006. PMID: 24489531 Free PMC article.

7

Ranges of phenotypic flexibility in healthy subjects.

van den Broek TJ, Bakker GCM, Rubingh CM, Bijlsma S, Stroeve JHM, van Ommen B, van Erk MJ, Wopereis S. van den Broek TJ, et al. Among authors: bijlsma s. Genes Nutr. 2017 Dec 6;12:32. doi: 10.1186/s12263-017-0589-8. eCollection 2017. Genes Nutr. 2017. PMID: 29225708 Free PMC article.

8

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

Smilde AK, Kiers HA, Bijlsma S, Rubingh CM, van Erk MJ. Smilde AK, et al. Among authors: bijlsma s. Bioinformatics. 2009 Feb 1;25(3):401-5. doi: 10.1093/bioinformatics/btn634. Epub 2008 Dec 10. Bioinformatics. 2009. PMID: 19073588

9

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. Smilde AK, et al. Among authors: bijlsma s. Metabolomics. 2010 Mar;6(1):3-17. doi: 10.1007/s11306-009-0191-1. Epub 2009 Dec 4. Metabolomics. 2010. PMID: 20339444 Free PMC article.

10

Toxicity assessment of aggregated/agglomerated cerium oxide nanoparticles in an in vitro 3D airway model: the influence of mucociliary clearance.

Frieke Kuper C, Gröllers-Mulderij M, Maarschalkerweerd T, Meulendijks NM, Reus A, van Acker F, Zondervan-van den Beuken EK, Wouters ME, Bijlsma S, Kooter IM. Frieke Kuper C, et al. Among authors: bijlsma s. Toxicol In Vitro. 2015 Mar;29(2):389-97. doi: 10.1016/j.tiv.2014.10.017. Epub 2014 Nov 4. Toxicol In Vitro. 2015. PMID: 25448805

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