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Simulation system SONCHES-based toxicokinetic model and data bank as a tool in biological monitoring and risk assessment.

The Science of the total environment

Wünscher G, Kersting H, Heberer H, Westmeier I, Wenzel V, Flechsig M, Matthaeus E.
PMID: 2057758
Sci Total Environ. 1991 Jan 01;101(1):101-9. doi: 10.1016/0048-9697(91)90108-q.

This paper describes the use of an interactive simulation system (SONCHES) as a model and databank system. The basic model is a physiologically based toxicokinetic model (partition coefficient concept). This model takes circulation times into consideration and includes a...

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Wünscher G, Kersting H, Heberer H, et al. Simulation system SONCHES-based toxicokinetic model and data bank as a tool in biological monitoring and risk assessment. Sci Total Environ. 1991;101(1):101-9doi: 10.1016/0048-9697(91)90108-q.
Wünscher, G., Kersting, H., Heberer, H., Westmeier, I., Wenzel, V., Flechsig, M., & Matthaeus, E. (1991). Simulation system SONCHES-based toxicokinetic model and data bank as a tool in biological monitoring and risk assessment. The Science of the total environment, 101(1), 101-9. https://doi.org/10.1016/0048-9697(91)90108-q
Wünscher, G, et al. "Simulation system SONCHES-based toxicokinetic model and data bank as a tool in biological monitoring and risk assessment." The Science of the total environment vol. 101,1 (1991): 101-9. doi: https://doi.org/10.1016/0048-9697(91)90108-q
Wünscher G, Kersting H, Heberer H, Westmeier I, Wenzel V, Flechsig M, Matthaeus E. Simulation system SONCHES-based toxicokinetic model and data bank as a tool in biological monitoring and risk assessment. Sci Total Environ. 1991 Jan 01;101(1):101-9. doi: 10.1016/0048-9697(91)90108-q. PMID: 2057758.
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Prompt neutron emission from the spontaneous fission of 260Md.

Physical review. C, Nuclear physics

Brandt R, Dougan RJ, Glaser RE, Hulet EK, Koop E, Lougheed RW, Moody KJ, Patzelt P, van Aarle J, Westmeier W, Wild JF.
PMID: 9966396
Phys Rev C Nucl Phys. 1990 Feb;41(2):640-646. doi: 10.1103/physrevc.41.640.

No abstract available.

Cite
Brandt R, Dougan RJ, Glaser RE, et al. Prompt neutron emission from the spontaneous fission of 260Md. Phys Rev C Nucl Phys. 1990;41(2):640-646doi: 10.1103/physrevc.41.640.
Brandt, R., Dougan, R. J., Glaser, R. E., Hulet, E. K., Koop, E., Lougheed, R. W., Moody, K. J., Patzelt, P., van Aarle J, Westmeier, W., & Wild, J. F. (1990). Prompt neutron emission from the spontaneous fission of 260Md. Physical review. C, Nuclear physics, 41(2), 640-646. https://doi.org/10.1103/physrevc.41.640
Brandt, et al. "Prompt neutron emission from the spontaneous fission of 260Md." Physical review. C, Nuclear physics vol. 41,2 (1990): 640-646. doi: https://doi.org/10.1103/physrevc.41.640
Brandt R, Dougan RJ, Glaser RE, Hulet EK, Koop E, Lougheed RW, Moody KJ, Patzelt P, van Aarle J, Westmeier W, Wild JF. Prompt neutron emission from the spontaneous fission of 260Md. Phys Rev C Nucl Phys. 1990 Feb;41(2):640-646. doi: 10.1103/physrevc.41.640. PMID: 9966396.
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Early-stage sugar beet taproot development is characterized by three distinct physiological phases.

Plant direct

Jammer A, Albacete A, Schulz B, Koch W, Weltmeier F, van der Graaff E, Pfeifhofer HW, Roitsch TG.
PMID: 32766510
Plant Direct. 2020 Aug 01;4(7):e00221. doi: 10.1002/pld3.221. eCollection 2020 Jul.

Despite the agronomic importance of sugar beet (

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Jammer A, Albacete A, Schulz B, et al. Early-stage sugar beet taproot development is characterized by three distinct physiological phases. Plant Direct. 2020;4(7):e00221doi: 10.1002/pld3.221.
Jammer, A., Albacete, A., Schulz, B., Koch, W., Weltmeier, F., van der Graaff, E., Pfeifhofer, H. W., & Roitsch, T. G. (2020). Early-stage sugar beet taproot development is characterized by three distinct physiological phases. Plant direct, 4(7), e00221. https://doi.org/10.1002/pld3.221
Jammer, Alexandra, et al. "Early-stage sugar beet taproot development is characterized by three distinct physiological phases." Plant direct vol. 4,7 (2020): e00221. doi: https://doi.org/10.1002/pld3.221
Jammer A, Albacete A, Schulz B, Koch W, Weltmeier F, van der Graaff E, Pfeifhofer HW, Roitsch TG. Early-stage sugar beet taproot development is characterized by three distinct physiological phases. Plant Direct. 2020 Aug 01;4(7):e00221. doi: 10.1002/pld3.221. eCollection 2020 Jul. PMID: 32766510; PMCID: PMC7395582.
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ICU delirium burden predicts functional neurologic outcomes.

PloS one

Paixao L, Sun H, Hogan J, Hartnack K, Westmeijer M, Neelagiri A, Zhou DW, McClain LM, Kimchi EY, Purdon PL, Akeju O, Westover MB.
PMID: 34855749
PLoS One. 2021 Dec 02;16(12):e0259840. doi: 10.1371/journal.pone.0259840. eCollection 2021.

BACKGROUND: We investigated the effect of delirium burden in mechanically ventilated patients, beginning in the ICU and continuing throughout hospitalization, on functional neurologic outcomes up to 2.5 years following critical illness.METHODS: Prospective cohort study of enrolling 178 consecutive mechanically...

Cite
Paixao L, Sun H, Hogan J, et al. ICU delirium burden predicts functional neurologic outcomes. PLoS One. 2021;16(12):e0259840doi: 10.1371/journal.pone.0259840.
Paixao, L., Sun, H., Hogan, J., Hartnack, K., Westmeijer, M., Neelagiri, A., Zhou, D. W., McClain, L. M., Kimchi, E. Y., Purdon, P. L., Akeju, O., & Westover, M. B. (2021). ICU delirium burden predicts functional neurologic outcomes. PloS one, 16(12), e0259840. https://doi.org/10.1371/journal.pone.0259840
Paixao, Luis, et al. "ICU delirium burden predicts functional neurologic outcomes." PloS one vol. 16,12 (2021): e0259840. doi: https://doi.org/10.1371/journal.pone.0259840
Paixao L, Sun H, Hogan J, Hartnack K, Westmeijer M, Neelagiri A, Zhou DW, McClain LM, Kimchi EY, Purdon PL, Akeju O, Westover MB. ICU delirium burden predicts functional neurologic outcomes. PLoS One. 2021 Dec 02;16(12):e0259840. doi: 10.1371/journal.pone.0259840. eCollection 2021. PMID: 34855749; PMCID: PMC8638853.
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[Not Available].

Berichte zur Wissenschaftsgeschichte

Westmeyer H.
PMID: 11627890
Ber Wiss. 1979;2(1):87-99.

No abstract available.

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Westmeyer H. Klinische und statistische Vorhersagen in der psychologischen Diagnostik. [Not Available]. Ber Wiss. 1979;2(1):87-99
Westmeyer, H. (1979). Klinische und statistische Vorhersagen in der psychologischen Diagnostik. [Not Available]. Berichte zur Wissenschaftsgeschichte, 2(1), 87-99.
Westmeyer, H. "Klinische und statistische Vorhersagen in der psychologischen Diagnostik." [Not Available]. Berichte zur Wissenschaftsgeschichte vol. 2,1 (1979): 87-99.
Westmeyer H. Klinische und statistische Vorhersagen in der psychologischen Diagnostik. [Not Available]. Ber Wiss. 1979;2(1):87-99. German. PMID: 11627890.
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The protein corona protects against size- and dose-dependent toxicity of amorphous silica nanoparticles.

Beilstein journal of nanotechnology

Docter D, Bantz C, Westmeier D, Galla HJ, Wang Q, Kirkpatrick JC, Nielsen P, Maskos M, Stauber RH.
PMID: 25247121
Beilstein J Nanotechnol. 2014 Aug 27;5:1380-92. doi: 10.3762/bjnano.5.151. eCollection 2014.

Besides the lung and skin, the gastrointestinal (GI) tract is one of the main targets for accidental exposure or biomedical applications of nanoparticles (NP). Biological responses to NP, including nanotoxicology, are caused by the interaction of the NP with...

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Docter D, Bantz C, Westmeier D, et al. The protein corona protects against size- and dose-dependent toxicity of amorphous silica nanoparticles. Beilstein J Nanotechnol. 2014;5:1380-92doi: 10.3762/bjnano.5.151.
Docter, D., Bantz, C., Westmeier, D., Galla, H. J., Wang, Q., Kirkpatrick, J. C., Nielsen, P., Maskos, M., & Stauber, R. H. (2014). The protein corona protects against size- and dose-dependent toxicity of amorphous silica nanoparticles. Beilstein journal of nanotechnology, 51380-92. https://doi.org/10.3762/bjnano.5.151
Docter, Dominic, et al. "The protein corona protects against size- and dose-dependent toxicity of amorphous silica nanoparticles." Beilstein journal of nanotechnology vol. 5 (2014): 1380-92. doi: https://doi.org/10.3762/bjnano.5.151
Docter D, Bantz C, Westmeier D, Galla HJ, Wang Q, Kirkpatrick JC, Nielsen P, Maskos M, Stauber RH. The protein corona protects against size- and dose-dependent toxicity of amorphous silica nanoparticles. Beilstein J Nanotechnol. 2014 Aug 27;5:1380-92. doi: 10.3762/bjnano.5.151. eCollection 2014. PMID: 25247121; PMCID: PMC4168937.
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Erratum for Westmeier et al., "Impaired Cytotoxic CD8.

mBio

Westmeier J, Paniskaki K, Karaköse Z, Werner T, Sutter K, Dolff S, Overbeck M, Limmer A, Liu J, Zheng X, Brenner T, Berger MM, Witzke O, Trilling M, Lu M, Yang D, Babel N, Westhoff T, Dittmer U, Zelinskyy G.
PMID: 33173009
mBio. 2020 Nov 10;11(6). doi: 10.1128/mBio.02805-20.

No abstract available.

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Westmeier J, Paniskaki K, Karaköse Z, et al. Erratum for Westmeier et al., "Impaired Cytotoxic CD8. mBio. 2020;11(6)doi: 10.1128/mBio.02805-20.
Westmeier, J., Paniskaki, K., Karaköse, Z., Werner, T., Sutter, K., Dolff, S., Overbeck, M., Limmer, A., Liu, J., Zheng, X., Brenner, T., Berger, M. M., Witzke, O., Trilling, M., Lu, M., Yang, D., Babel, N., Westhoff, T., Dittmer, U., & Zelinskyy, G. (2020). Erratum for Westmeier et al., "Impaired Cytotoxic CD8. mBio, 11(6), . https://doi.org/10.1128/mBio.02805-20
Westmeier, Jaana, et al. "Erratum for Westmeier et al., "Impaired Cytotoxic CD8." mBio vol. 11,6 (2020). doi: https://doi.org/10.1128/mBio.02805-20
Westmeier J, Paniskaki K, Karaköse Z, Werner T, Sutter K, Dolff S, Overbeck M, Limmer A, Liu J, Zheng X, Brenner T, Berger MM, Witzke O, Trilling M, Lu M, Yang D, Babel N, Westhoff T, Dittmer U, Zelinskyy G. Erratum for Westmeier et al., "Impaired Cytotoxic CD8. mBio. 2020 Nov 10;11(6). doi: 10.1128/mBio.02805-20. PMID: 33173009; PMCID: PMC7667023.
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Physiological Assessment of Delirium Severity: The Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S).

Critical care medicine

van Sleuwen M, Sun H, Eckhardt C, Neelagiri A, Tesh RA, Westmeijer M, Paixao L, Rajan S, Velpula Krishnamurthy P, Sikka P, Leone MJ, Panneerselvam E, Quadri SA, Akeju O, Kimchi EY, Westover MB.
PMID: 34582420
Crit Care Med. 2022 Jan 01;50(1):e11-e19. doi: 10.1097/CCM.0000000000005224.

OBJECTIVES: Delirium is a common and frequently underdiagnosed complication in acutely hospitalized patients, and its severity is associated with worse clinical outcomes. We propose a physiologically based method to quantify delirium severity as a tool that can help close...

Cite
van Sleuwen M, Sun H, Eckhardt C, et al. Physiological Assessment of Delirium Severity: The Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S). Crit Care Med. 2022;50(1):e11-e19doi: 10.1097/CCM.0000000000005224.
van Sleuwen, M., Sun, H., Eckhardt, C., Neelagiri, A., Tesh, R. A., Westmeijer, M., Paixao, L., Rajan, S., Velpula Krishnamurthy, P., Sikka, P., Leone, M. J., Panneerselvam, E., Quadri, S. A., Akeju, O., Kimchi, E. Y., & Westover, M. B. (2022). Physiological Assessment of Delirium Severity: The Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S). Critical care medicine, 50(1), e11-e19. https://doi.org/10.1097/CCM.0000000000005224
van Sleuwen, Meike, et al. "Physiological Assessment of Delirium Severity: The Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S)." Critical care medicine vol. 50,1 (2022): e11-e19. doi: https://doi.org/10.1097/CCM.0000000000005224
van Sleuwen M, Sun H, Eckhardt C, Neelagiri A, Tesh RA, Westmeijer M, Paixao L, Rajan S, Velpula Krishnamurthy P, Sikka P, Leone MJ, Panneerselvam E, Quadri SA, Akeju O, Kimchi EY, Westover MB. Physiological Assessment of Delirium Severity: The Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S). Crit Care Med. 2022 Jan 01;50(1):e11-e19. doi: 10.1097/CCM.0000000000005224. PMID: 34582420; PMCID: PMC8678335.
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Physiological Assessment of Delirium Severity: The Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S).

Critical care medicine

van Sleuwen M, Sun H, Eckhardt C, Neelagiri A, Tesh RA, Westmeijer M, Paixao L, Rajan S, Velpula Krishnamurthy P, Sikka P, Leone MJ, Panneerselvam E, Quadri SA, Akeju O, Kimchi EY, Westover MB.
PMID: 34582420
Crit Care Med. 2022 Jan 01;50(1):e11-e19. doi: 10.1097/CCM.0000000000005224.

OBJECTIVES: Delirium is a common and frequently underdiagnosed complication in acutely hospitalized patients, and its severity is associated with worse clinical outcomes. We propose a physiologically based method to quantify delirium severity as a tool that can help close...

Cite
van Sleuwen M, Sun H, Eckhardt C, et al. Physiological Assessment of Delirium Severity: The Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S). Crit Care Med. 2022;50(1):e11-e19doi: 10.1097/CCM.0000000000005224.
van Sleuwen, M., Sun, H., Eckhardt, C., Neelagiri, A., Tesh, R. A., Westmeijer, M., Paixao, L., Rajan, S., Velpula Krishnamurthy, P., Sikka, P., Leone, M. J., Panneerselvam, E., Quadri, S. A., Akeju, O., Kimchi, E. Y., & Westover, M. B. (2022). Physiological Assessment of Delirium Severity: The Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S). Critical care medicine, 50(1), e11-e19. https://doi.org/10.1097/CCM.0000000000005224
van Sleuwen, Meike, et al. "Physiological Assessment of Delirium Severity: The Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S)." Critical care medicine vol. 50,1 (2022): e11-e19. doi: https://doi.org/10.1097/CCM.0000000000005224
van Sleuwen M, Sun H, Eckhardt C, Neelagiri A, Tesh RA, Westmeijer M, Paixao L, Rajan S, Velpula Krishnamurthy P, Sikka P, Leone MJ, Panneerselvam E, Quadri SA, Akeju O, Kimchi EY, Westover MB. Physiological Assessment of Delirium Severity: The Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S). Crit Care Med. 2022 Jan 01;50(1):e11-e19. doi: 10.1097/CCM.0000000000005224. PMID: 34582420; PMCID: PMC8678335.
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Nanosized food additives impact beneficial and pathogenic bacteria in the human gut: a simulated gastrointestinal study.

NPJ science of food

Siemer S, Hahlbrock A, Vallet C, McClements DJ, Balszuweit J, Voskuhl J, Docter D, Wessler S, Knauer SK, Westmeier D, Stauber RH.
PMID: 30882042
NPJ Sci Food. 2018;2(1):22. doi: 10.1038/s41538-018-0030-8. Epub 2018 Dec 04.

Nanotechnology provides the food industry with new ways to modulate various aspects of food. Hence, engineered nanoparticles (NPs) are increasingly added to food and beverage products as functional ingredients. However, the impact of engineered as well as naturally occurring...

Cite
Siemer S, Hahlbrock A, Vallet C, et al. Nanosized food additives impact beneficial and pathogenic bacteria in the human gut: a simulated gastrointestinal study. NPJ Sci Food. 2018;2(1):22doi: 10.1038/s41538-018-0030-8.
Siemer, S., Hahlbrock, A., Vallet, C., McClements, D. J., Balszuweit, J., Voskuhl, J., Docter, D., Wessler, S., Knauer, S. K., Westmeier, D., & Stauber, R. H. (2018). Nanosized food additives impact beneficial and pathogenic bacteria in the human gut: a simulated gastrointestinal study. NPJ science of food, 2(1), 22. https://doi.org/10.1038/s41538-018-0030-8
Siemer, Svenja, et al. "Nanosized food additives impact beneficial and pathogenic bacteria in the human gut: a simulated gastrointestinal study." NPJ science of food vol. 2,1 (2018): 22. doi: https://doi.org/10.1038/s41538-018-0030-8
Siemer S, Hahlbrock A, Vallet C, McClements DJ, Balszuweit J, Voskuhl J, Docter D, Wessler S, Knauer SK, Westmeier D, Stauber RH. Nanosized food additives impact beneficial and pathogenic bacteria in the human gut: a simulated gastrointestinal study. NPJ Sci Food. 2018;2(1):22. doi: 10.1038/s41538-018-0030-8. Epub 2018 Dec 04. PMID: 30882042; PMCID: PMC6420113.
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ICU delirium burden predicts functional neurologic outcomes.

PloS one

Paixao L, Sun H, Hogan J, Hartnack K, Westmeijer M, Neelagiri A, Zhou DW, McClain LM, Kimchi EY, Purdon PL, Akeju O, Westover MB.
PMID: 34855749
PLoS One. 2021 Dec 02;16(12):e0259840. doi: 10.1371/journal.pone.0259840. eCollection 2021.

BACKGROUND: We investigated the effect of delirium burden in mechanically ventilated patients, beginning in the ICU and continuing throughout hospitalization, on functional neurologic outcomes up to 2.5 years following critical illness.METHODS: Prospective cohort study of enrolling 178 consecutive mechanically...

Cite
Paixao L, Sun H, Hogan J, et al. ICU delirium burden predicts functional neurologic outcomes. PLoS One. 2021;16(12):e0259840doi: 10.1371/journal.pone.0259840.
Paixao, L., Sun, H., Hogan, J., Hartnack, K., Westmeijer, M., Neelagiri, A., Zhou, D. W., McClain, L. M., Kimchi, E. Y., Purdon, P. L., Akeju, O., & Westover, M. B. (2021). ICU delirium burden predicts functional neurologic outcomes. PloS one, 16(12), e0259840. https://doi.org/10.1371/journal.pone.0259840
Paixao, Luis, et al. "ICU delirium burden predicts functional neurologic outcomes." PloS one vol. 16,12 (2021): e0259840. doi: https://doi.org/10.1371/journal.pone.0259840
Paixao L, Sun H, Hogan J, Hartnack K, Westmeijer M, Neelagiri A, Zhou DW, McClain LM, Kimchi EY, Purdon PL, Akeju O, Westover MB. ICU delirium burden predicts functional neurologic outcomes. PLoS One. 2021 Dec 02;16(12):e0259840. doi: 10.1371/journal.pone.0259840. eCollection 2021. PMID: 34855749; PMCID: PMC8638853.
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Physiological Assessment of Delirium Severity: The Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S).

Critical care medicine

van Sleuwen M, Sun H, Eckhardt C, Neelagiri A, Tesh RA, Westmeijer M, Paixao L, Rajan S, Velpula Krishnamurthy P, Sikka P, Leone MJ, Panneerselvam E, Quadri SA, Akeju O, Kimchi EY, Westover MB.
PMID: 34582420
Crit Care Med. 2021 Sep 24; doi: 10.1097/CCM.0000000000005224. Epub 2021 Sep 24.

OBJECTIVES: Delirium is a common and frequently underdiagnosed complication in acutely hospitalized patients, and its severity is associated with worse clinical outcomes. We propose a physiologically based method to quantify delirium severity as a tool that can help close...

Cite
van Sleuwen M, Sun H, Eckhardt C, et al. Physiological Assessment of Delirium Severity: The Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S). Crit Care Med. 2021;doi: 10.1097/CCM.0000000000005224.
van Sleuwen, M., Sun, H., Eckhardt, C., Neelagiri, A., Tesh, R. A., Westmeijer, M., Paixao, L., Rajan, S., Velpula Krishnamurthy, P., Sikka, P., Leone, M. J., Panneerselvam, E., Quadri, S. A., Akeju, O., Kimchi, E. Y., & Westover, M. B. (2021). Physiological Assessment of Delirium Severity: The Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S). Critical care medicine, . https://doi.org/10.1097/CCM.0000000000005224
van Sleuwen, Meike, et al. "Physiological Assessment of Delirium Severity: The Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S)." Critical care medicine vol. (2021). doi: https://doi.org/10.1097/CCM.0000000000005224
van Sleuwen M, Sun H, Eckhardt C, Neelagiri A, Tesh RA, Westmeijer M, Paixao L, Rajan S, Velpula Krishnamurthy P, Sikka P, Leone MJ, Panneerselvam E, Quadri SA, Akeju O, Kimchi EY, Westover MB. Physiological Assessment of Delirium Severity: The Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S). Crit Care Med. 2021 Sep 24; doi: 10.1097/CCM.0000000000005224. Epub 2021 Sep 24. PMID: 34582420.
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