making sense of sub-lethal mixture effects
DESCRIPTION
Making sense of sub-lethal mixture effects. Tjalling Jager, Tine Vandenbrouck, Jan Baas, Wim De Coen, Bas Kooijman. Challenge of mixture ecotoxicity. Some 100,000 man-made chemicals Large range of natural ‘toxicants’ For animals, 1.25 million species described Complex exposure situations. - PowerPoint PPT PresentationTRANSCRIPT
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Making sense of sub-lethal mixture effects
Tjalling Jager, Tine Vandenbrouck, Jan Baas, Wim De Coen, Bas Kooijman
![Page 2: Making sense of sub-lethal mixture effects](https://reader035.vdocuments.net/reader035/viewer/2022062316/5681684b550346895dde3e2f/html5/thumbnails/2.jpg)
Challenge of mixture ecotoxicity
Some 100,000 man-made chemicals Large range of natural ‘toxicants’ For animals, 1.25 million species described Complex exposure situations
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Typical approach
A B
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Typical approach
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Typical approach
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Typical approach
wait for 21 days …
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Dose-response plotdose-ratio dependent deviation from CA
concentration A concentration B
tota
l offs
prin
g
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What question did we answer?
“What is effect of constant exposure to this mixture on total Daphnia reproduction after 21 days under standard OECD test conditions?”
dose-ratiodependentdeviation from CA
dose-ratiodependentdeviation from CA
concentration A concentration B
tota
loffs
prin
g
concentration A concentration B
tota
loffs
prin
g
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What question did we answer?
“What is effect of constant exposure to this mixture on total Daphnia reproduction after 21 days under standard OECD test conditions?”
dose-ratiodependentdeviation from CA
dose-ratiodependentdeviation from CA
concentration A concentration B
tota
loffs
prin
g
concentration A concentration B
tota
loffs
prin
g
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What question did we answer?
“What is effect of constant exposure to this mixture on total Daphnia reproduction after 21 days under standard OECD test conditions?”
dose-ratiodependentdeviation from CA
dose-ratiodependentdeviation from CA
concentration A concentration B
tota
loffs
prin
g
concentration A concentration B
tota
loffs
prin
g
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What question did we answer?
“What is effect of constant exposure to this mixture on total Daphnia reproduction after 21 days under standard OECD test conditions?”
dose-ratiodependentdeviation from CA
dose-ratiodependentdeviation from CA
concentration A concentration B
tota
loffs
prin
g
concentration A concentration B
tota
loffs
prin
g
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What question did we answer?
“What is effect of constant exposure to this mixture on total Daphnia reproduction after 21 days under standard OECD test conditions?”
dose-ratiodependentdeviation from CA
dose-ratiodependentdeviation from CA
concentration A concentration B
tota
loffs
prin
g
concentration A concentration B
tota
loffs
prin
g
![Page 13: Making sense of sub-lethal mixture effects](https://reader035.vdocuments.net/reader035/viewer/2022062316/5681684b550346895dde3e2f/html5/thumbnails/13.jpg)
What question did we answer?
“What is effect of constant exposure to this mixture on total Daphnia reproduction after 21 days under standard OECD test conditions?”
dose-ratiodependentdeviation from CA
dose-ratiodependentdeviation from CA
concentration A concentration B
tota
loffs
prin
g
concentration A concentration B
tota
loffs
prin
g
![Page 14: Making sense of sub-lethal mixture effects](https://reader035.vdocuments.net/reader035/viewer/2022062316/5681684b550346895dde3e2f/html5/thumbnails/14.jpg)
What question did we answer?
“What is effect of constant exposure to this mixture on total Daphnia reproduction after 21 days under standard OECD test conditions?”
dose-ratiodependentdeviation from CA
dose-ratiodependentdeviation from CA
concentration A concentration B
tota
loffs
prin
g
concentration A concentration B
tota
loffs
prin
g
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What question did we answer?
“What is effect of constant exposure to this mixture on total Daphnia reproduction after 21 days under standard OECD test conditions?”
dose-ratiodependentdeviation from CA
dose-ratiodependentdeviation from CA
concentration A concentration B
tota
loffs
prin
g
concentration A concentration B
tota
loffs
prin
g
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What question did we answer?
“What is effect of constant exposure to this mixture on Daphnia reproduction after 21 days under standard OECD test conditions?”
dose-ratiodependentdeviation from CA
dose-ratiodependentdeviation from CA
concentration A concentration B
tota
loffs
prin
g
concentration A concentration B
tota
loffs
prin
g
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What question did we answer?
“What is effect of constant exposure to this mixture on Daphnia reproduction after 21 days under standard OECD test conditions?”
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Better questions
do we see these time patterns of effects?• can we explain the effects on all endpoints over the life
cycle in one framework?• can we make useful predictions for other mixtures, other
species, and other exposure situations?
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externalconcentration
B (in time)
externalconcentration
A (in time)
effectsin time
Process-based
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externalconcentration
B (in time)
externalconcentration
A (in time)
toxico-kinetics
toxico-kinetics
Process-based
internalconcentration
A in time
internalconcentration
B in time
survival as achance process
effectsin time
Tolerance distribution• McCarty et al (1992)• Lee & Landrum (2006)Stochastic death• Ashauer et al. (2007)• Baas et al. (2007, 2009)
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Sub-lethal endpoints …
growth
reproduction
feeding
maintenance
maturation
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Sub-lethal endpoints …
growth
reproduction
feeding
maintenance
maturationRules for mass and energy flowsDEB (Kooijman, 2000/2001)
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Process-basedexternal
concentrationA (in time)
externalconcentration
B (in time)
toxico-kinetics
toxico-kinetics
internalconcentration
A in time
internalconcentration
B in time
metabolicprocesses
in timeDEB
model effects onall endpoints
in time
assimilationmaintenanc
ematuration
….
theory implies interactions …
growth
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externalconcentration
A (in time)toxico-kinetics
externalconcentration
B (in time)toxico-kinetics
DEBmodel
internalconcentration
A in time metabolicprocesses
in timeinternalconcentration
B in time effects onall endpoints
in time
Process-based
assimilationmaintenanc
ematuration
….
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Simple mixture rules
assimilation
maintenance
…
compound ‘target’ metabolic process
toxicity parameters linked (compare CA)
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Simple mixture rules
assimilation
maintenance
…
compound ‘target’ metabolic process
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Simple mixture rules
assimilation
maintenance
…
compound ‘target’ metabolic process
toxicity parameters independent (compare IA)
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fluoranthene pyrene
PAHs in Daphnia Based on standard 21-day OECD test
• 10 animals per treatment• length, reproduction and survival every 2 days• no body residues (TK inferred from effects)
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0 5 10 15 20
0
0.2
0.4
0.6
0.8
1
frac
tion
surv
ivin
g
0 5 10 15 200
0.2
0.4
0.6
0.8
1
frac
tion
surv
ivin
g
0 5 10 15 20
time (days)0 5 10 15 20
time (days)0 5 10 15 200 5 10 15 20
0
10
20
30
40
50
60
70
80
90
cum
ulat
ive
offs
prin
g pe
r fem
ale
0
0.5
1
1.5
2
2.5
3bo
dy le
ngth
(mm
)
00 (solv.)0.08650.1730.346
0
0.5
1
1.5
2
2.5
3bo
dy le
ngth
(mm
)
00 (solv.)0.08650.1730.346
00 (solv.)0.2130.4260.853
00 (solv.)0.2130.4260.853
0.0865 0.2130.173 0.4260.260 0.6400.0865 0.6400.260 0.2130.346 0.853
0.0865 0.2130.173 0.4260.260 0.6400.0865 0.6400.260 0.2130.346 0.853
pyrene fluoranthene mixtures
Same target:costs reproduction(and costs growth)
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Iso-effect lines
0 0.05 0.1 0.15 0.2 0.25 0.30
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8t = 10
t = 10
t = 14
t = 14
t = 14
t = 14
t = 18
t = 18
t = 18
t = 18
t = 21
t = 21
t = 21
t = 21
pyrene (μM)
fluor
anth
ene
(μM
)
50% survival
0 0.05 0.1 0.15 0.2 0.25 0.3
t = 10
t = 14
t = 14
t = 21
t = 21
pyrene (μM)
t = 10
t = 18
t = 18t = 10
50% reproduction
for body length <50% effect
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Conclusions PAH mixture Mixture effect consistent with ‘same target’
• as expected for these PAHs• explains all three endpoints, over time
Iso-effect lines are functions of time• which differ between endpoints• in this case: little deviation from CA
Few parameters for all data in time• 14 parameters (+4 Daphnia defaults)
(descriptive would require >100 parameters)
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Parameter estimates
externalconcentration
A (in time)
externalconcentration
B (in time) toxico-kinetics
toxico-kinetics
internalconcentration
A in time
internalconcentration
B in time
metabolicprocesses
in timeDEB
model effects onall endpoints
in time
TK pars tox pars DEB pars
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Educated extrapolation
externalconcentration
A (in time)
externalconcentration
B (in time) toxico-kinetics
toxico-kinetics
internalconcentration
A in time
internalconcentration
B in time
metabolicprocesses
in timeDEB
model effects onall endpoints
in time
TK pars tox pars DEB pars
populations
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Educated extrapolation
externalconcentration
A (in time)
externalconcentration
B (in time) toxico-kinetics
toxico-kinetics
internalconcentration
A in time
internalconcentration
B in time
metabolicprocesses
in timeDEB
model effects onall endpoints
in time
TK pars tox pars DEB pars
other endpoints
other, e.g.,repro raterespiration
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Educated extrapolation
externalconcentration
A (in time)
externalconcentration
B (in time) toxico-kinetics
toxico-kinetics
internalconcentration
A in time
internalconcentration
B in time
metabolicprocesses
in timeDEB
model effects onall endpoints
in time
TK pars tox pars DEB pars
time-varying concentrations
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Educated extrapolation
externalconcentration
A (in time)
externalconcentration
B (in time) toxico-kinetics
toxico-kinetics
internalconcentration
A in time
internalconcentration
B in time
metabolicprocesses
in timeDEB
model effects onall endpoints
in time
TK pars tox pars DEB pars
food limitation
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Educated extrapolation
externalconcentration
A (in time)
externalconcentration
B (in time) toxico-kinetics
toxico-kinetics
internalconcentration
A in time
internalconcentration
B in time
metabolicprocesses
in timeDEB
model effects onall endpoints
in time
TK pars tox pars DEB pars
other narcotic compounds
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Educated extrapolation
externalconcentration
A (in time)
externalconcentration
B (in time) toxico-kinetics
toxico-kinetics
internalconcentration
A in time
internalconcentration
B in time
metabolicprocesses
in timeDEB
model effects onall endpoints
in time
TK pars tox pars DEB pars
other (related) species
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Final words A process-based approach is essential …
• to progress the science of mixture toxicity• to make useful predictions for RA
Key elements DEB approach• one framework for all endpoints over time• feasible with ‘reasonable’ data sets• certain interactions are unavoidable …
Of course, more work is needed …• validate predicted interactions and extrapolations• ready to tackle more complex mixtures!
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AdvertisementVacancies
• PhD student, Marie Curie training network (CREAM)
Courses• International DEB Tele Course 2011
Symposia• 2nd International DEB Symposium 2011 in Lisbon
More information: http://www.bio.vu.nl/thb