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Claude Beigel, PhD'

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0.9425, P = 4.436, ffM= 0.8018 and kM= 0.0200 d-1. 14. Results Example 2 ... to half-life of 20.4 d), ffM= 0.8332 and kM= 0.0216 d-1 (equivalent to half-life ... – PowerPoint PPT presentation

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Title: Claude Beigel, PhD'


1
Practical session metabolites Part III plenary
discussion of results
  • Claude Beigel, PhD.
  • Exposure Assessment Senior Scientist
  • Research Triangle Park, USA

2
Results Example 1Visual Evaluation of Goodness
of fit (Parent Metabolite1)
3
Hands-on Example 1Visual Assessment (Parent
Metabolite1)
4
Hands-on Example 1Statistical Indices (Parent
Metabolite1)
5
Hands-on Example 1Conclusion and Endpoints
(Parent Metabolite1)
  • SFO model is considered appropriate for both
    parent and metabolite
  • Trigger endpoints for Metabolite 1
  • DT50 6.8 d and DT90 22.6 d
  • Modeling endpoints
  • kP 0.0508 d-1 (equivalent to half-life of 13.7
    d), ffM1 0.5881 and kM1 0.1018 d-1 (equivalent
    to half-life of 6.8 d)
  • kP_M 0.0299 d-1 (equivalent to half-life of
    23.2 d), kP_S 0.0209 d-1 (equivalent to
    half-life of 33.1 d), and kM1 0.1018 d-1
    (equivalent to half-life of 6.8 d)

or
6
Hands-on Example 1Parent Metabolite1
Metabolite2
  • Initial fit with flow from Metabolite 1 to sink
    results in formation fraction ffM2 of 0.98
    (stepwise fit, parent and M1 parameters fixed) or
    gt1 (simultaneous fit, all parameters free)
  • The question is should we remove or keep this
    flow (does Metabolite 1 degrade exclusively to
    Metabolite 2, or does it form other metabolites
    and/or bound residues too)?
  • Lets assume that additional information, e.g. a
    degradation study conducted with Metabolite 1
    also suggests 100 formation of Metabolite 2,
    ffM2 is fixed to 1, i.e. the flow from Metabolite
    1 to sink is removed

?
7
Results Example 1Visual Evaluation of Goodness
of fit (Parent Met1 Met2)
8
Hands-on Example 1Visual Assessment (Parent
Met1 Met2)
9
Hands-on Example 1Statistical Indices (Parent
Met1 Met2)
10
Hands-on Example 1Conclusion and Endpoints
(Parent Met1 Met2)
  • SFO model is considered appropriate for parent
    and both metabolites
  • Trigger endpoints
  • Metabolite1 DT50 6.9 d and DT90 23.1 d
  • Metabolite2 DT50 61.0 d and DT90 203 d
  • Modeling endpoints
  • kP 0.0507 d-1 (equivalent to half-life of 13.7
    d), ffM1 0.5813 and kM1 0.0999 d-1 (equivalent
    to half-life of 6.9 d), kM2 0.0114 d-1
    (equivalent to half-life of 61.0 d),
  • kP_S 0.0212 d-1 (equivalent to half-life of
    32.7 d), kP_M 0.0295 d-1 (equivalent to
    half-life of 23.5 d), kM1_M2 0.0999 d-1
    (equivalent to half-life of 6.9 d), and kM2_S
    0.0114 d-1 (equivalent to half-life of 61.0 d)

or
11
Results Example 2Visual Evaluation of Goodness
of fit (Parent FOMC)
12
Hands-on Example 2, parent FOMCVisual Assessment

13
Hands-on Example 2, parent FOMCStatistical
Indices
14
Hands-on Example 2Conclusion and Trigger
Endpoints (Parent FOMC)
  • SFO model is considered appropriate for
    metabolite in combination with FOMC model for
    parent
  • Trigger endpoints for Metabolite
  • DT50 34.7 d and DT90 115 d
  • Endpoints for PEC soil calculations
  • ?P 0.9425, ?P 4.436, ffM 0.8018 and kM
    0.0200 d-1

15
Results Example 2Visual Evaluation of Goodness
of fit (Parent DFOP)
16
Hands-on Example 2, Parent DFOPVisual Assessment

17
Hands-on Example 2, Parent DFOPStatistical
Indices
18
Hands-on Example 2Conclusion and Modeling
Endpoints (Parent DFOP)
  • SFO model is considered appropriate for
    metabolite in combination with DFOP model for
    parent
  • Modeling endpoints (higher Tier approach based on
    parent DFOP)
  • g 0.5509, k1 0.3227 d-1 (equivalent to
    half-life of 2.15 d), k2 0.0340 d-1 (equivalent
    to half-life of 20.4 d), ffM 0.8332 and kM
    0.0216 d-1 (equivalent to half-life of 32.0 d)

19
Results Example 2Visual Evaluation of Goodness
of Fit (Metabolite Decline)
20
Hands-on Example 2, Metabolite DeclineVisual
Assessment
21
Hands-on Example 2, Metabolite DeclineStatistical
Indices
22
Hands-on Example 2Conclusion and Endpoints
(Metabolite Decline)
  • SFO model is considered appropriate for
    metabolite decline
  • Metabolite decline rate may be used as worst-case
    estimate for trigger endpoints
  • Trigger endpoints DT50 49.7 d and DT90 165 d
    (compared to DT50 34.7 d and DT90 115 d from
    actual degradation rate)
  • Decline rate may also be used as modeling
    endpoint for metabolite, if calculated from
    maximum observed
  • Modeling endpoint kM 0.0139 d-1 (equivalent to
    half-life of 49.7 d)
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