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Lewis Sheiner


2018
Montreux, Switzerland



2017
Budapest, Hungary

2016
Lisboa, Portugal

2015
Hersonissos, Crete, Greece

2014
Alicante, Spain

2013
Glasgow, Scotland

2012
Venice, Italy

2011
Athens, Greece

2010
Berlin, Germany

2009
St. Petersburg, Russia

2008
Marseille, France

2007
KÝbenhavn, Denmark

2006
Brugge/Bruges, Belgium

2005
Pamplona, Spain

2004
Uppsala, Sweden

2003
Verona, Italy

2002
Paris, France

2001
Basel, Switzerland

2000
Salamanca, Spain

1999
Saintes, France

1998
Wuppertal, Germany

1997
Glasgow, Scotland

1996
Sandwich, UK

1995
Frankfurt, Germany

1994
Greenford, UK

1993
Paris, France

1992
Basel, Switzerland



Printable version

PAGE. Abstracts of the Annual Meeting of the Population Approach Group in Europe.
ISSN 1871-6032

Reference:
PAGE 25 (2016) Abstr 5717 [www.page-meeting.org/?abstract=5717]


Poster: Drug/Disease modeling - Other topics


IV-47 Coen van Hasselt The proof is in the pee: Population asparagus urinary odor kinetics.

J. G. Coen van Hasselt(1), Jeroen Elassaiss-Schaap(1,2), Anuradha Ramamoorthy(3), Brian M. Sadler(4), Sreeneeranj Kasichayanula(5), Yin Edwards(6), Piet H. van der Graaf(1,7), Lei Zhang(1), John A. Wagner(8)

(1) Leiden University, Leiden, Netherlands; (2) PD-Value BV, Houten, Netherlands; (3)Food and Drug Administration, Silver Spring, MD, USA; (4)ICON, Gaithersburg, MD, USA; (5)Amgen, Thousand Oaks, CA, USA; (6)ICON plc, Marlow, UK; (7)Certara, Canterbury, UK; (8)Takeda Pharmaceuticals International Co., Cambridge, MA, USA.

Objectives: Inter-individual variability (IIV) in production and perception of odorous urine after eating asparagus has been reported [1]. We conducted a “first-ever” clinical study with consenting 2014 and 2015 ASCPT annual meeting attendees to characterize asparagus urinary odor kinetics. The objective of this study was to characterize time-response, dose-response dynamics and half-life (t½) of urinary asparagus odor perception after receiving a single variable dose of asparagus.

Methods: Consenting subjects were randomized to eat a specific number (dose) of asparagus spears. Subjects were asked to report their urinary odor perception for until no noticable odor was perceived on case report forms. Odor perception was reported as a subjective score on a scale of 0-6 (0=no odor to 6=offensive odor). A mixed effect proportional odds K-PD model was used to associate dose with odor scores, and to estimate a t½ for dose received. A mixture model was used to estimate the proportion of responders (PRESP) in terms of perceiving and/or producing the odor in urine. An asparagus dose-response slope parameter was considered in the proportional odds model as additional term.

Results: Data was pooled from a pilot study (n=10; dose 0, 5, 10, 15 spears), and the main study (n=81; dose 0, 3, 6, 9 spears). Out of these 91 subjects, 9 reported no detectable odor. A half-life of 3.9 h (RSE, relative standard error, 44%) was estimated. A dose-response slope term was identified with good precision (22%), and was found to be equal for different score levels. For scores 4 and 5, a single coefficient was estimated due to insufficient data. IIV was estimated for t½ and for baseline variability of the score for responders. IIV on the t½ and baseline parameter was large: 43.4 CV% and 84.3 CV% respectively. PRESP was estimated at 92.4% (RSE 12%). A correlation between age and t½ was present but could not be reliably included in the model.

Conlusion: Dose-response dynamics of asparagus urinary odor score and time course data could be adequately characterized using the developed model. There was large IIV in asparagus t½ and baseline score. This study design can be used as a demonstration project for population kinetics studies in many settings including schools. We plan to build a tutorial and an open sourced database with the potential to link results through “crowd sourcing” and allowing other researchers to add their data and build the database.



References:
[1] Drug Metab Dispos. 2001 Apr;29(4 Pt 2):539-43.