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Showing 1 to 12 of 23 entries
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Absorption of Etoposide (VP-16-213) from the Small Intestine of the Rat. The Potential Role of Mucus as an Absorption Rate Limiting Barrier.

Pharmaceutical research

Schurgers N, de Blaey CJ, Crommelin DJ.
PMID: 24272806
Pharm Res. 1985 Jul;2(4):162-5. doi: 10.1023/A:1016331904482.

The absorption of etoposide (VP-16-213) was investigated in a perfused intestinal loop. The absorbed amount of drug was determined by collecting the blood draining the loop via cannulation of the efferent jejunal vein. The absorption rate of VP-16-213 strongly...

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Schurgers N, de Blaey CJ, Crommelin DJ. Absorption of Etoposide (VP-16-213) from the Small Intestine of the Rat. The Potential Role of Mucus as an Absorption Rate Limiting Barrier. Pharm Res. 1985;2(4):162-5doi: 10.1023/A:1016331904482.
Schurgers, N., de Blaey, C. J., & Crommelin, D. J. (1985). Absorption of Etoposide (VP-16-213) from the Small Intestine of the Rat. The Potential Role of Mucus as an Absorption Rate Limiting Barrier. Pharmaceutical research, 2(4), 162-5. https://doi.org/10.1023/A:1016331904482
Schurgers, N, et al. "Absorption of Etoposide (VP-16-213) from the Small Intestine of the Rat. The Potential Role of Mucus as an Absorption Rate Limiting Barrier." Pharmaceutical research vol. 2,4 (1985): 162-5. doi: https://doi.org/10.1023/A:1016331904482
Schurgers N, de Blaey CJ, Crommelin DJ. Absorption of Etoposide (VP-16-213) from the Small Intestine of the Rat. The Potential Role of Mucus as an Absorption Rate Limiting Barrier. Pharm Res. 1985 Jul;2(4):162-5. doi: 10.1023/A:1016331904482. PMID: 24272806.
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Stability of liposomes on storage: freeze dried, frozen or as an aqueous dispersion.

Pharmaceutical research

Crommelin DJ, van Bommel EM.
PMID: 24277284
Pharm Res. 1984 Jul;1(4):159-63. doi: 10.1023/A:1016344523988.

For various types of liposomes carboxyfluorescein (CF) latency and physical stability on storage were investigated. Three regimens were compared: storage at 4-6°C in an iso-osmotic aqueous buffer, freezing of the dispersions at -5 or -30°C, or freeze drying of...

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Crommelin DJ, van Bommel EM. Stability of liposomes on storage: freeze dried, frozen or as an aqueous dispersion. Pharm Res. 1984;1(4):159-63doi: 10.1023/A:1016344523988.
Crommelin, D. J., & van Bommel, E. M. (1984). Stability of liposomes on storage: freeze dried, frozen or as an aqueous dispersion. Pharmaceutical research, 1(4), 159-63. https://doi.org/10.1023/A:1016344523988
Crommelin, D J, and van Bommel, E M. "Stability of liposomes on storage: freeze dried, frozen or as an aqueous dispersion." Pharmaceutical research vol. 1,4 (1984): 159-63. doi: https://doi.org/10.1023/A:1016344523988
Crommelin DJ, van Bommel EM. Stability of liposomes on storage: freeze dried, frozen or as an aqueous dispersion. Pharm Res. 1984 Jul;1(4):159-63. doi: 10.1023/A:1016344523988. PMID: 24277284.
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A cluster of articles in memory of Wim Jiskoot, Ph.D.

Journal of pharmaceutical sciences

Crommelin DJ, Narhi L, Das T.
PMID: 34919968
J Pharm Sci. 2021 Dec 14; doi: 10.1016/j.xphs.2021.12.010. Epub 2021 Dec 14.

No abstract available.

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Crommelin DJ, Narhi L, Das T. A cluster of articles in memory of Wim Jiskoot, Ph.D. J Pharm Sci. 2021;doi: 10.1016/j.xphs.2021.12.010.
Crommelin, D. J., Narhi, L., & Das, T. (2021). A cluster of articles in memory of Wim Jiskoot, Ph.D. Journal of pharmaceutical sciences, . https://doi.org/10.1016/j.xphs.2021.12.010
Crommelin, Daan Ja, et al. "A cluster of articles in memory of Wim Jiskoot, Ph.D." Journal of pharmaceutical sciences vol. (2021). doi: https://doi.org/10.1016/j.xphs.2021.12.010
Crommelin DJ, Narhi L, Das T. A cluster of articles in memory of Wim Jiskoot, Ph.D. J Pharm Sci. 2021 Dec 14; doi: 10.1016/j.xphs.2021.12.010. Epub 2021 Dec 14. PMID: 34919968.
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Water-soluble cationic methacrylate polymers for nonviral gene delivery.

Methods in molecular medicine

Bos GW, Crommelin DJ, Hennink WE.
PMID: 21318744
Methods Mol Med. 2001;65:35-60. doi: 10.1385/1-59259-139-6:35.

The aim of gene therapy is to treat inherited or acquired genetic deficiencies (e.g., cystic fibrosis) or viral diseases (e.g., hepatitis B, HIV) by introduction of DNA encoding a therapeutic protein or a specific virus antigen, respectively, into the...

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Bos GW, Crommelin DJ, Hennink WE. Water-soluble cationic methacrylate polymers for nonviral gene delivery. Methods Mol Med. 2001;65:35-60doi: 10.1385/1-59259-139-6:35.
Bos, G. W., Crommelin, D. J., & Hennink, W. E. (2001). Water-soluble cationic methacrylate polymers for nonviral gene delivery. Methods in molecular medicine, 6535-60. https://doi.org/10.1385/1-59259-139-6:35
Bos, G W, et al. "Water-soluble cationic methacrylate polymers for nonviral gene delivery." Methods in molecular medicine vol. 65 (2001): 35-60. doi: https://doi.org/10.1385/1-59259-139-6:35
Bos GW, Crommelin DJ, Hennink WE. Water-soluble cationic methacrylate polymers for nonviral gene delivery. Methods Mol Med. 2001;65:35-60. doi: 10.1385/1-59259-139-6:35. PMID: 21318744.
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Delivery of biologicals: the wish list is long.

Expert opinion on drug delivery

Crommelin DJ.
PMID: 16296716
Expert Opin Drug Deliv. 2004 Nov;1(1):3-5. doi: 10.1517/17425247.1.1.3.

In this editorial, a wish list is drawn up for future research and development activities regarding biologicals.

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Crommelin DJ. Delivery of biologicals: the wish list is long. Expert Opin Drug Deliv. 2004;1(1):3-5doi: 10.1517/17425247.1.1.3.
Crommelin, D. J. (2004). Delivery of biologicals: the wish list is long. Expert opinion on drug delivery, 1(1), 3-5. https://doi.org/10.1517/17425247.1.1.3
Crommelin, Daan J A. "Delivery of biologicals: the wish list is long." Expert opinion on drug delivery vol. 1,1 (2004): 3-5. doi: https://doi.org/10.1517/17425247.1.1.3
Crommelin DJ. Delivery of biologicals: the wish list is long. Expert Opin Drug Deliv. 2004 Nov;1(1):3-5. doi: 10.1517/17425247.1.1.3. PMID: 16296716.
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Cancer nanomedicine: Is targeting our target?.

Nature reviews. Materials

Lammers T, Kiessling F, Ashford M, Hennink W, Crommelin D, Storm G.
PMID: 27668091
Nat Rev Mater. 2016 Sep;1(9). doi: 10.1038/natrevmats.2016.69. Epub 2016 Sep 07.

Nanomedicine may have a delivery problem. Rigorous, realistic and holistic rethinking is needed to improve nanomedicine performance and increase patient benefit.

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Lammers T, Kiessling F, Ashford M, et al. Cancer nanomedicine: Is targeting our target?. Nat Rev Mater. 2016;1(9)doi: 10.1038/natrevmats.2016.69.
Lammers, T., Kiessling, F., Ashford, M., Hennink, W., Crommelin, D., & Storm, G. (2016). Cancer nanomedicine: Is targeting our target?. Nature reviews. Materials, 1(9), . https://doi.org/10.1038/natrevmats.2016.69
Lammers, Twan, et al. "Cancer nanomedicine: Is targeting our target?." Nature reviews. Materials vol. 1,9 (2016). doi: https://doi.org/10.1038/natrevmats.2016.69
Lammers T, Kiessling F, Ashford M, Hennink W, Crommelin D, Storm G. Cancer nanomedicine: Is targeting our target?. Nat Rev Mater. 2016 Sep;1(9). doi: 10.1038/natrevmats.2016.69. Epub 2016 Sep 07. PMID: 27668091; PMCID: PMC5034892.
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Quantifying Data Dependencies with Rényi Mutual Information and Minimum Spanning Trees.

Entropy (Basel, Switzerland)

Eggels A, Crommelin D.
PMID: 33266816
Entropy (Basel). 2019 Jan 22;21(2). doi: 10.3390/e21020100.

In this study, we present a novel method for quantifying dependencies in multivariate datasets, based on estimating the Rényi mutual information by minimum spanning trees (MSTs). The extent to which random variables are dependent is an important question, e.g.,...

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Eggels A, Crommelin D. Quantifying Data Dependencies with Rényi Mutual Information and Minimum Spanning Trees. Entropy (Basel). 2019;21(2)doi: 10.3390/e21020100.
Eggels, A., & Crommelin, D. (2019). Quantifying Data Dependencies with Rényi Mutual Information and Minimum Spanning Trees. Entropy (Basel, Switzerland), 21(2), . https://doi.org/10.3390/e21020100
Eggels, Anne, and Crommelin, Daan. "Quantifying Data Dependencies with Rényi Mutual Information and Minimum Spanning Trees." Entropy (Basel, Switzerland) vol. 21,2 (2019). doi: https://doi.org/10.3390/e21020100
Eggels A, Crommelin D. Quantifying Data Dependencies with Rényi Mutual Information and Minimum Spanning Trees. Entropy (Basel). 2019 Jan 22;21(2). doi: 10.3390/e21020100. PMID: 33266816; PMCID: PMC7514583.
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VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Groen D, Arabnejad H, Jancauskas V, Edeling WN, Jansson F, Richardson RA, Lakhlili J, Veen L, Bosak B, Kopta P, Wright DW, Monnier N, Karlshoefer P, Suleimenova D, Sinclair R, Vassaux M, Nikishova A, Bieniek M, Luk OO, Kulczewski M, Raffin E, Crommelin D, Hoenen O, Coster DP, Piontek T, Coveney PV.
PMID: 33775151
Philos Trans A Math Phys Eng Sci. 2021 May 17;379(2197):20200221. doi: 10.1098/rsta.2020.0221. Epub 2021 Mar 29.

We present the VECMA toolkit (VECMAtk), a flexible software environment for single and multiscale simulations that introduces directly applicable and reusable procedures for verification, validation (V&V), sensitivity analysis (SA) and uncertainty quantication (UQ). It enables users to verify key...

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Groen D, Arabnejad H, Jancauskas V, et al. VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations. Philos Trans A Math Phys Eng Sci. 2021;379(2197):20200221doi: 10.1098/rsta.2020.0221.
Groen, D., Arabnejad, H., Jancauskas, V., Edeling, W. N., Jansson, F., Richardson, R. A., Lakhlili, J., Veen, L., Bosak, B., Kopta, P., Wright, D. W., Monnier, N., Karlshoefer, P., Suleimenova, D., Sinclair, R., Vassaux, M., Nikishova, A., Bieniek, M., Luk, O. O., Kulczewski, M., Raffin, E., Crommelin, D., Hoenen, O., Coster, D. P., Piontek, T., & Coveney, P. V. (2021). VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 379(2197), 20200221. https://doi.org/10.1098/rsta.2020.0221
Groen, D, et al. "VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations." Philosophical transactions. Series A, Mathematical, physical, and engineering sciences vol. 379,2197 (2021): 20200221. doi: https://doi.org/10.1098/rsta.2020.0221
Groen D, Arabnejad H, Jancauskas V, Edeling WN, Jansson F, Richardson RA, Lakhlili J, Veen L, Bosak B, Kopta P, Wright DW, Monnier N, Karlshoefer P, Suleimenova D, Sinclair R, Vassaux M, Nikishova A, Bieniek M, Luk OO, Kulczewski M, Raffin E, Crommelin D, Hoenen O, Coster DP, Piontek T, Coveney PV. VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations. Philos Trans A Math Phys Eng Sci. 2021 May 17;379(2197):20200221. doi: 10.1098/rsta.2020.0221. Epub 2021 Mar 29. PMID: 33775151; PMCID: PMC8059654.
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Rhabdomyolysis in Clozapine Overdose.

Drug safety - case reports

Jansman FG, Crommelin HA, van Hout FJ, Meulenbelt J.
PMID: 27747721
Drug Saf Case Rep. 2015 Dec;2(1):9. doi: 10.1007/s40800-015-0011-7.

CONTEXT: Clozapine is used for decennia for the treatment of schizophrenia. Agranulocytosis, diabetic ketoacidosis, gastrointestinal hypomotility, and myocarditis are well-known adverse effects of clozapine, which are sometimes life threatening. Here we report a case of rhabdomyolysis upon an acute...

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Jansman FG, Crommelin HA, van Hout FJ, et al. Rhabdomyolysis in Clozapine Overdose. Drug Saf Case Rep. 2015;2(1):9doi: 10.1007/s40800-015-0011-7.
Jansman, F. G., Crommelin, H. A., van Hout, F. J., & Meulenbelt, J. (2015). Rhabdomyolysis in Clozapine Overdose. Drug safety - case reports, 2(1), 9. https://doi.org/10.1007/s40800-015-0011-7
Jansman, Frank G A, et al. "Rhabdomyolysis in Clozapine Overdose." Drug safety - case reports vol. 2,1 (2015): 9. doi: https://doi.org/10.1007/s40800-015-0011-7
Jansman FG, Crommelin HA, van Hout FJ, Meulenbelt J. Rhabdomyolysis in Clozapine Overdose. Drug Saf Case Rep. 2015 Dec;2(1):9. doi: 10.1007/s40800-015-0011-7. PMID: 27747721; PMCID: PMC5005766.
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Poly(ethylene glycol)--oligolactates with monodisperse hydrophobic blocks: preparation, characterization, and behavior in water.

Langmuir : the ACS journal of surfaces and colloids

Carstens MG, van Nostrum CF, Ramzi A, Meeldijk JD, Verrijk R, de Leede LL, Crommelin DJ, Hennink WE.
PMID: 16285824
Langmuir. 2005 Nov 22;21(24):11446-54. doi: 10.1021/la051972t.

Methoxypoly(ethylene glycol)-b-oligo-L-lactate (mPEG-b-OLA) diblock oligomers with monodisperse OLA blocks were obtained by fractionation of polydisperse block oligomers using preparative HPLC. The fractionated oligomers were composed of an mPEG block with a molecular weight of 350, 550, or 750 and...

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Carstens MG, van Nostrum CF, Ramzi A, et al. Poly(ethylene glycol)--oligolactates with monodisperse hydrophobic blocks: preparation, characterization, and behavior in water. Langmuir. 2005;21(24):11446-54doi: 10.1021/la051972t.
Carstens, M. G., van Nostrum, C. F., Ramzi, A., Meeldijk, J. D., Verrijk, R., de Leede, L. L., Crommelin, D. J., & Hennink, W. E. (2005). Poly(ethylene glycol)--oligolactates with monodisperse hydrophobic blocks: preparation, characterization, and behavior in water. Langmuir : the ACS journal of surfaces and colloids, 21(24), 11446-54. https://doi.org/10.1021/la051972t
Carstens, Myrra G, et al. "Poly(ethylene glycol)--oligolactates with monodisperse hydrophobic blocks: preparation, characterization, and behavior in water." Langmuir : the ACS journal of surfaces and colloids vol. 21,24 (2005): 11446-54. doi: https://doi.org/10.1021/la051972t
Carstens MG, van Nostrum CF, Ramzi A, Meeldijk JD, Verrijk R, de Leede LL, Crommelin DJ, Hennink WE. Poly(ethylene glycol)--oligolactates with monodisperse hydrophobic blocks: preparation, characterization, and behavior in water. Langmuir. 2005 Nov 22;21(24):11446-54. doi: 10.1021/la051972t. PMID: 16285824.
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Distinct metastable atmospheric regimes despite nearly Gaussian statistics: a paradigm model.

Proceedings of the National Academy of Sciences of the United States of America

Majda AJ, Franzke CL, Fischer A, Crommelin DT.
PMID: 16714380
Proc Natl Acad Sci U S A. 2006 May 30;103(22):8309-14. doi: 10.1073/pnas.0602641103. Epub 2006 May 19.

A controversial topic in the recent climate modeling literature is the fashion in which metastable low-frequency regimes in the atmosphere occur despite nearly Gaussian statistics for these planetary waves. Here a simple 57-mode paradigm model for such metastable atmospheric...

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Majda AJ, Franzke CL, Fischer A, et al. Distinct metastable atmospheric regimes despite nearly Gaussian statistics: a paradigm model. Proc Natl Acad Sci U S A. 2006;103(22):8309-14doi: 10.1073/pnas.0602641103.
Majda, A. J., Franzke, C. L., Fischer, A., & Crommelin, D. T. (2006). Distinct metastable atmospheric regimes despite nearly Gaussian statistics: a paradigm model. Proceedings of the National Academy of Sciences of the United States of America, 103(22), 8309-14. https://doi.org/10.1073/pnas.0602641103
Majda, Andrew J, et al. "Distinct metastable atmospheric regimes despite nearly Gaussian statistics: a paradigm model." Proceedings of the National Academy of Sciences of the United States of America vol. 103,22 (2006): 8309-14. doi: https://doi.org/10.1073/pnas.0602641103
Majda AJ, Franzke CL, Fischer A, Crommelin DT. Distinct metastable atmospheric regimes despite nearly Gaussian statistics: a paradigm model. Proc Natl Acad Sci U S A. 2006 May 30;103(22):8309-14. doi: 10.1073/pnas.0602641103. Epub 2006 May 19. PMID: 16714380; PMCID: PMC1482490.
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A data-driven multi-cloud model for stochastic parametrization of deep convection.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Dorrestijn J, Crommelin DT, Biello JA, Böing SJ.
PMID: 23588052
Philos Trans A Math Phys Eng Sci. 2013 Apr 15;371(1991):20120374. doi: 10.1098/rsta.2012.0374. Print 2013 May 28.

Stochastic subgrid models have been proposed to capture the missing variability and correct systematic medium-term errors in general circulation models. In particular, the poor representation of subgrid-scale deep convection is a persistent problem that stochastic parametrizations are attempting to...

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Dorrestijn J, Crommelin DT, Biello JA, et al. A data-driven multi-cloud model for stochastic parametrization of deep convection. Philos Trans A Math Phys Eng Sci. 2013;371(1991):20120374doi: 10.1098/rsta.2012.0374.
Dorrestijn, J., Crommelin, D. T., Biello, J. A., & Böing, S. J. (2013). A data-driven multi-cloud model for stochastic parametrization of deep convection. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 371(1991), 20120374. https://doi.org/10.1098/rsta.2012.0374
Dorrestijn, J, et al. "A data-driven multi-cloud model for stochastic parametrization of deep convection." Philosophical transactions. Series A, Mathematical, physical, and engineering sciences vol. 371,1991 (2013): 20120374. doi: https://doi.org/10.1098/rsta.2012.0374
Dorrestijn J, Crommelin DT, Biello JA, Böing SJ. A data-driven multi-cloud model for stochastic parametrization of deep convection. Philos Trans A Math Phys Eng Sci. 2013 Apr 15;371(1991):20120374. doi: 10.1098/rsta.2012.0374. Print 2013 May 28. PMID: 23588052.
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Showing 1 to 12 of 23 entries