Establishing EDI for a Clinical Trial of a Treatment for Chikungunya

Cynthia Dickerson; Mark Ensor; Robert A. Lodder

doi:10.1007/978-3-319-93701-4_61

Establishing EDI for a Clinical Trial of a Treatment for Chikungunya

Cynthia Dickerson
, Mark Ensor
, Robert A. Lodder

Producción científica: Conference contribution › revisión exhaustiva

Resumen

Ellagic acid (EA) is a polyphenolic compound with antiviral activity against chikungunya, a rapidly spreading new tropical disease transmitted to humans by mosquitoes and now affecting millions worldwide. The most common symptoms of chikungunya virus infection are fever and joint pain. Other manifestations of infection can include encephalitis and an arthritic joint swelling with pain that may persist for months or years after the initial infection. The disease has recently spread to the U.S.A., with locally-transmitted cases of chikungunya virus reported in Florida. There is no approved vaccine to prevent or medicine to treat chikungunya virus infections. In this study, the Estimated Daily Intake (EDI) of EA from the food supply established using the National Health and Nutrition Examination Survey (NHANES) is used to set a maximum dose of an EA formulation for a high priority clinical trial.

Idioma original	English
Título de la publicación alojada	Computational Science – ICCS 2018 - 18th International Conference, Proceedings
Editores	Valeria V. Krzhizhanovskaya, Michael Harold Lees, Peter M. Sloot, Jack Dongarra, Yong Shi, Yingjie Tian, Haohuan Fu
Páginas	773-782
Número de páginas	10
DOI	https://doi.org/10.1007/978-3-319-93701-4_61
Estado	Published - 2018
Evento	18th International Conference on Computational Science, ICCS 2018 - Wuxi, China Duración: jun 11 2018 → jun 13 2018

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	10861 LNCS
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conference

Conference	18th International Conference on Computational Science, ICCS 2018
País/Territorio	China
Ciudad	Wuxi
Período	6/11/18 → 6/13/18

Nota bibliográfica

Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.

Financiación

The project described was supported in part by the National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health, through Grant UL1TR001998. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. This project was also supported by NSF ACI-1053575 allocation number BIO170011.

Financiadores	Número del financiador
National Science Foundation (NSF)	ACI-1053575, BIO170011
National Institutes of Health (NIH)	UL1TR001998
National Center for Research Resources
National Center for Advancing Translational Sciences (NCATS)

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Good health and well being

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-319-93701-4_61

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Dickerson, C., Ensor, M., & Lodder, R. A. (2018). Establishing EDI for a Clinical Trial of a Treatment for Chikungunya. En V. V. Krzhizhanovskaya, M. H. Lees, P. M. Sloot, J. Dongarra, Y. Shi, Y. Tian, & H. Fu (Eds.), Computational Science – ICCS 2018 - 18th International Conference, Proceedings (pp. 773-782). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10861 LNCS). https://doi.org/10.1007/978-3-319-93701-4_61

Dickerson, Cynthia ; Ensor, Mark ; Lodder, Robert A. / Establishing EDI for a Clinical Trial of a Treatment for Chikungunya. Computational Science – ICCS 2018 - 18th International Conference, Proceedings. editor / Valeria V. Krzhizhanovskaya ; Michael Harold Lees ; Peter M. Sloot ; Jack Dongarra ; Yong Shi ; Yingjie Tian ; Haohuan Fu. 2018. pp. 773-782 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Ellagic acid (EA) is a polyphenolic compound with antiviral activity against chikungunya, a rapidly spreading new tropical disease transmitted to humans by mosquitoes and now affecting millions worldwide. The most common symptoms of chikungunya virus infection are fever and joint pain. Other manifestations of infection can include encephalitis and an arthritic joint swelling with pain that may persist for months or years after the initial infection. The disease has recently spread to the U.S.A., with locally-transmitted cases of chikungunya virus reported in Florida. There is no approved vaccine to prevent or medicine to treat chikungunya virus infections. In this study, the Estimated Daily Intake (EDI) of EA from the food supply established using the National Health and Nutrition Examination Survey (NHANES) is used to set a maximum dose of an EA formulation for a high priority clinical trial.",

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author = "Cynthia Dickerson and Mark Ensor and Lodder, \{Robert A.\}",

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Dickerson, C, Ensor, M & Lodder, RA 2018, Establishing EDI for a Clinical Trial of a Treatment for Chikungunya. En VV Krzhizhanovskaya, MH Lees, PM Sloot, J Dongarra, Y Shi, Y Tian & H Fu (eds.), Computational Science – ICCS 2018 - 18th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10861 LNCS, pp. 773-782, 18th International Conference on Computational Science, ICCS 2018, Wuxi, China, 6/11/18. https://doi.org/10.1007/978-3-319-93701-4_61

Establishing EDI for a Clinical Trial of a Treatment for Chikungunya. / Dickerson, Cynthia; Ensor, Mark; Lodder, Robert A.
Computational Science – ICCS 2018 - 18th International Conference, Proceedings. ed. / Valeria V. Krzhizhanovskaya; Michael Harold Lees; Peter M. Sloot; Jack Dongarra; Yong Shi; Yingjie Tian; Haohuan Fu. 2018. p. 773-782 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10861 LNCS).

Producción científica: Conference contribution › revisión exhaustiva

TY - GEN

T1 - Establishing EDI for a Clinical Trial of a Treatment for Chikungunya

AU - Dickerson, Cynthia

AU - Ensor, Mark

AU - Lodder, Robert A.

N1 - Publisher Copyright: © Springer International Publishing AG, part of Springer Nature 2018.

PY - 2018

Y1 - 2018

N2 - Ellagic acid (EA) is a polyphenolic compound with antiviral activity against chikungunya, a rapidly spreading new tropical disease transmitted to humans by mosquitoes and now affecting millions worldwide. The most common symptoms of chikungunya virus infection are fever and joint pain. Other manifestations of infection can include encephalitis and an arthritic joint swelling with pain that may persist for months or years after the initial infection. The disease has recently spread to the U.S.A., with locally-transmitted cases of chikungunya virus reported in Florida. There is no approved vaccine to prevent or medicine to treat chikungunya virus infections. In this study, the Estimated Daily Intake (EDI) of EA from the food supply established using the National Health and Nutrition Examination Survey (NHANES) is used to set a maximum dose of an EA formulation for a high priority clinical trial.

AB - Ellagic acid (EA) is a polyphenolic compound with antiviral activity against chikungunya, a rapidly spreading new tropical disease transmitted to humans by mosquitoes and now affecting millions worldwide. The most common symptoms of chikungunya virus infection are fever and joint pain. Other manifestations of infection can include encephalitis and an arthritic joint swelling with pain that may persist for months or years after the initial infection. The disease has recently spread to the U.S.A., with locally-transmitted cases of chikungunya virus reported in Florida. There is no approved vaccine to prevent or medicine to treat chikungunya virus infections. In this study, the Estimated Daily Intake (EDI) of EA from the food supply established using the National Health and Nutrition Examination Survey (NHANES) is used to set a maximum dose of an EA formulation for a high priority clinical trial.

KW - Drug development

KW - NHANES

KW - Tropical disease

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UR - https://www.scopus.com/pages/publications/85049070989#tab=citedBy

U2 - 10.1007/978-3-319-93701-4_61

DO - 10.1007/978-3-319-93701-4_61

M3 - Conference contribution

AN - SCOPUS:85049070989

SN - 9783319937007

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 773

EP - 782

BT - Computational Science – ICCS 2018 - 18th International Conference, Proceedings

A2 - Krzhizhanovskaya, Valeria V.

A2 - Lees, Michael Harold

A2 - Sloot, Peter M.

A2 - Dongarra, Jack

A2 - Shi, Yong

A2 - Tian, Yingjie

A2 - Fu, Haohuan

T2 - 18th International Conference on Computational Science, ICCS 2018

Y2 - 11 June 2018 through 13 June 2018

ER -

Dickerson C, Ensor M, Lodder RA. Establishing EDI for a Clinical Trial of a Treatment for Chikungunya. En Krzhizhanovskaya VV, Lees MH, Sloot PM, Dongarra J, Shi Y, Tian Y, Fu H, editores, Computational Science – ICCS 2018 - 18th International Conference, Proceedings. 2018. p. 773-782. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-93701-4_61

Establishing EDI for a Clinical Trial of a Treatment for Chikungunya

Resumen

Serie de la publicación

Conference

Nota bibliográfica

Financiación

ODS de las Naciones Unidas

ASJC Scopus subject areas

Acceder al documento

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