Bijlsma S - Search Results

1

The possibilities of the use of N-of-1 and do-it-yourself trials in nutritional research.

Krone T, Boessen R, Bijlsma S, van Stokkum R, Clabbers NDS, Pasman WJ. Krone T, et al. Among authors: bijlsma s. PLoS One. 2020 May 6;15(5):e0232680. doi: 10.1371/journal.pone.0232680. eCollection 2020. PLoS One. 2020. PMID: 32374745 Free PMC article.

2

Nutrigenomics approach elucidates health-promoting effects of high vegetable intake in lean and obese men.

Pasman WJ, van Erk MJ, Klöpping WA, Pellis L, Wopereis S, Bijlsma S, Hendriks HF, Kardinaal AF. Pasman WJ, et al. Among authors: bijlsma s. Genes Nutr. 2013 Sep;8(5):507-21. doi: 10.1007/s12263-013-0343-9. Epub 2013 Apr 18. Genes Nutr. 2013. PMID: 23595524 Free PMC article.

3

A Novel Personalized Systems Nutrition Program Improves Dietary Patterns, Lifestyle Behaviors and Health-Related Outcomes: Results from the Habit Study.

de Hoogh IM, Winters BL, Nieman KM, Bijlsma S, Krone T, van den Broek TJ, Anderson BD, Caspers MPM, Anthony JC, Wopereis S. de Hoogh IM, et al. Among authors: bijlsma s. Nutrients. 2021 May 22;13(6):1763. doi: 10.3390/nu13061763. Nutrients. 2021. PMID: 34067248 Free PMC article. Clinical Trial.

4

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.

5

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.

6

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

7

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

8

Quantifying phenotypic flexibility as the response to a high-fat challenge test in different states of metabolic health.

Kardinaal AF, van Erk MJ, Dutman AE, Stroeve JH, van de Steeg E, Bijlsma S, Kooistra T, van Ommen B, Wopereis S. Kardinaal AF, et al. Among authors: bijlsma s. FASEB J. 2015 Nov;29(11):4600-13. doi: 10.1096/fj.14-269852. Epub 2015 Jul 21. FASEB J. 2015. PMID: 26198450 Clinical Trial.

9

Fusion of mass spectrometry-based metabolomics data.

Smilde AK, van der Werf MJ, Bijlsma S, van der Werff-van der Vat BJ, Jellema RH. Smilde AK, et al. Among authors: bijlsma s. Anal Chem. 2005 Oct 15;77(20):6729-36. doi: 10.1021/ac051080y. Anal Chem. 2005. PMID: 16223263

10

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

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