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Items: 1 to 20 of 41

1.

A computational model of postprandial adipose tissue lipid metabolism derived using human arteriovenous stable isotope tracer data.

O'Donovan SD, Lenz M, Vink RG, Roumans NJT, de Kok TMCM, Mariman ECM, Peeters RLM, van Riel NAW, van Baak MA, Arts ICW.

PLoS Comput Biol. 2019 Oct 3;15(10):e1007400. doi: 10.1371/journal.pcbi.1007400. eCollection 2019 Oct.

2.

Characterization of disease-specific cellular abundance profiles of chronic inflammatory skin conditions from deconvolution of biopsy samples.

Félix Garza ZC, Lenz M, Liebmann J, Ertaylan G, Born M, Arts ICW, Hilbers PAJ, van Riel NAW.

BMC Med Genomics. 2019 Aug 17;12(1):121. doi: 10.1186/s12920-019-0567-7.

3.

Improved quantification of muscle insulin sensitivity using oral glucose tolerance test data: the MISI Calculator.

O'Donovan SD, Lenz M, Goossens GH, van der Kallen CJH, Eussen SJMP, Stehouwer CDA, van Greevenbroek MM, Schram MT, Sep SJ, Peeters RLM, Blaak EE, van Riel NAW, de Kok TMCM, Arts ICW.

Sci Rep. 2019 Jun 28;9(1):9388. doi: 10.1038/s41598-019-45858-w.

4.

Computational modelling of energy balance in individuals with Metabolic Syndrome.

Rozendaal YJW, Wang Y, Hilbers PAJ, van Riel NAW.

BMC Syst Biol. 2019 Feb 26;13(1):24. doi: 10.1186/s12918-019-0705-z.

5.

Domain intelligible models.

Imangaliyev S, Prodan A, Nieuwdorp M, Groen AK, van Riel NAW, Levin E.

Methods. 2018 Oct 1;149:69-73. doi: 10.1016/j.ymeth.2018.06.011. Epub 2018 Jul 5.

PMID:
29981382
6.

In Silico Analysis Identifies Intestinal Transit as a Key Determinant of Systemic Bile Acid Metabolism.

Sips FLP, Eggink HM, Hilbers PAJ, Soeters MR, Groen AK, van Riel NAW.

Front Physiol. 2018 Jun 8;9:631. doi: 10.3389/fphys.2018.00631. eCollection 2018.

7.

In vivo and in silico dynamics of the development of Metabolic Syndrome.

Rozendaal YJW, Wang Y, Paalvast Y, Tambyrajah LL, Li Z, Willems van Dijk K, Rensen PCN, Kuivenhoven JA, Groen AK, Hilbers PAJ, van Riel NAW.

PLoS Comput Biol. 2018 Jun 7;14(6):e1006145. doi: 10.1371/journal.pcbi.1006145. eCollection 2018 Jun.

8.

Identifying User Preferences for a Digital Educational Solution for Young Seniors With Diabetes.

van der Molen P, Maas AH, Chen W, van Pul C, Cottaar EJE, van Riel NAW, Hilbers PAJ, Haak HR.

Diabetes Spectr. 2017 Aug;30(3):182-187. doi: 10.2337/ds16-0023.

9.

An In Vivo Magnetic Resonance Spectroscopy Study of the Effects of Caloric and Non-Caloric Sweeteners on Liver Lipid Metabolism in Rats.

Janssens S, Ciapaite J, Wolters JC, van Riel NA, Nicolay K, Prompers JJ.

Nutrients. 2017 May 10;9(5). pii: E476. doi: 10.3390/nu9050476.

10.

A Dynamic Model for Prediction of Psoriasis Management by Blue Light Irradiation.

Félix Garza ZC, Liebmann J, Born M, Hilbers PA, van Riel NA.

Front Physiol. 2017 Jan 26;8:28. doi: 10.3389/fphys.2017.00028. eCollection 2017.

11.

Dietary nitrate does not reduce oxygen cost of exercise or improve muscle mitochondrial function in patients with mitochondrial myopathy.

Nabben M, Schmitz JPJ, Ciapaite J, le Clercq CMP, van Riel NA, Haak HR, Nicolay K, de Coo IFM, Smeets H, Praet SF, van Loon LJ, Prompers JJ.

Am J Physiol Regul Integr Comp Physiol. 2017 May 1;312(5):R689-R701. doi: 10.1152/ajpregu.00264.2016. Epub 2017 Feb 8.

12.

Flux Balance Analysis of Plant Metabolism: The Effect of Biomass Composition and Model Structure on Model Predictions.

Yuan H, Cheung CY, Hilbers PA, van Riel NA.

Front Plant Sci. 2016 Apr 26;7:537. doi: 10.3389/fpls.2016.00537. eCollection 2016.

13.

Requirements for multi-level systems pharmacology models to reach end-usage: the case of type 2 diabetes.

Nyman E, Rozendaal YJ, Helmlinger G, Hamrén B, Kjellsson MC, Strålfors P, van Riel NA, Gennemark P, Cedersund G.

Interface Focus. 2016 Apr 6;6(2):20150075. doi: 10.1098/rsfs.2015.0075. Review.

14.

Concept Development of the Eindhoven Diabetes Education Simulator Project.

Maas AH, van der Molen P, van de Vijver R, Chen W, van Pul C, Cottaar EJ, van Riel NA, Hilbers PA, Haak HR.

Games Health J. 2016 Apr;5(2):120-7. doi: 10.1089/g4h.2015.0037. Epub 2016 Feb 12.

PMID:
26871654
15.

Effects of low-stearate palm oil and high-stearate lard high-fat diets on rat liver lipid metabolism and glucose tolerance.

Janssens S, Heemskerk MM, van den Berg SA, van Riel NA, Nicolay K, Willems van Dijk K, Prompers JJ.

Nutr Metab (Lond). 2015 Dec 18;12:57. doi: 10.1186/s12986-015-0053-y. eCollection 2015.

16.

A genome-scale metabolic network reconstruction of tomato (Solanum lycopersicum L.) and its application to photorespiratory metabolism.

Yuan H, Cheung CY, Poolman MG, Hilbers PA, van Riel NA.

Plant J. 2016 Jan;85(2):289-304. doi: 10.1111/tpj.13075. Epub 2016 Jan 4.

17.

Model-Based Quantification of the Systemic Interplay between Glucose and Fatty Acids in the Postprandial State.

Sips FL, Nyman E, Adiels M, Hilbers PA, Strålfors P, van Riel NA, Cedersund G.

PLoS One. 2015 Sep 10;10(9):e0135665. doi: 10.1371/journal.pone.0135665. eCollection 2015.

18.

A physiology-based model describing heterogeneity in glucose metabolism: the core of the Eindhoven Diabetes Education Simulator (E-DES).

Maas AH, Rozendaal YJ, van Pul C, Hilbers PA, Cottaar WJ, Haak HR, van Riel NA.

J Diabetes Sci Technol. 2015 Mar;9(2):282-92. doi: 10.1177/1932296814562607. Epub 2014 Dec 18.

19.

A systems biology approach reveals the physiological origin of hepatic steatosis induced by liver X receptor activation.

Hijmans BS, Tiemann CA, Grefhorst A, Boesjes M, van Dijk TH, Tietge UJ, Kuipers F, van Riel NA, Groen AK, Oosterveer MH.

FASEB J. 2015 Apr;29(4):1153-64. doi: 10.1096/fj.14-254656. Epub 2014 Dec 4.

PMID:
25477282
20.

A computational model for the analysis of lipoprotein distributions in the mouse: translating FPLC profiles to lipoprotein metabolism.

Sips FL, Tiemann CA, Oosterveer MH, Groen AK, Hilbers PA, van Riel NA.

PLoS Comput Biol. 2014 May 1;10(5):e1003579. doi: 10.1371/journal.pcbi.1003579. eCollection 2014 May.

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