General Unified Threshold model for Survival (GUTS)

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Presentation transcript:

General Unified Threshold model for Survival (GUTS) Tjalling Jager, Carlo Albert, Thomas G. Preuss, Roman Ashauer

Kastanienbaum workshop 2010

TKTD models Advantages understand rather than describe effects internal concentration external concentration toxicokinetic model toxicodynamic model effects over time Advantages understand rather than describe effects derive time-independent toxicity parameters interpret time-varying exposure make predictions for untested situations

TKTD model confusion For survival … many models have been published … CBR, DAM, DEBtox, TDM, CTO, etc., etc. how do they relate to each other? The Kastanienbaum mission (or part thereof): clarify the differences agree on common terminology look for unification

Unification possible?

Main similarities TK TD one-comp. “damage” external concentration first order TK mortality mechanism survival over time TK TD

Main differences Death mechanism Why don’t all animals die at the same time? differences in sensitivity (IT) death is a stochastic process (SD) Dose metric What is the relevant dose for toxicity? internal concentration (which one, where?) scaled internal concentration some form of “damage” …

Complete damage model … body residue TK uptake rate elimination rate damage TD damage accrual rate damage repair rate external concentration one-comp. first-order TK one-comp. “damage” “dose metric” mortality mechanism

Dose metric unification Actual damage level uptake, elimination, damage accrual and repair Scaled damage level uptake, elimination rate, damage repair Actual internal concentration uptake and elimination rate Scaled internal concentration “elimination” or “dominant” rate constant External concentration no parameters scaling repair. rate →∞ scaling elim. rate →∞

Data requirements Actual damage level Scaled damage level uptake, elimination, damage accrual and repair Scaled damage level uptake, elimination rate, damage repair Actual internal concentration uptake and elimination rate Scaled internal concentration “elimination” or “dominant” rate constant External concentration no parameters external conc internal conc dam

Death mechanism 1 ? Individual Tolerance (IT) death is immediate if dose metric > threshold Individuals differ in value of threshold lethal exposure lethal exposure ? threshold

Death mechanism 2 Stochastic Death (SD) all individuals are identical dose metric increases probability to die hazard rate threshold killing rate blank value dose metric

SD / IT unification hazard rate killing rate →∞ dose metric threshold standard dev. →0

Gammarus+diazinon

Pimephales+naphthalene

Conclusions GUTS unifies (almost) all TKTD models for survival Provides a common reference model Main open questions: which dose metric / death mechanism is realistic? can we extend to other endpoints?

What about sub-lethal? Mechanisms of SD and IT deal with quantal data an event happens, yes or no count affected individuals in the test population Graded responses like growth and reproduction require different mechanisms e.g., Dynamic Energy Budget (DEB) theory note that growth and repro will affect TK too ...

Recently appeared Matlab implementation on: http://www.bio.vu.nl/thb/users/tjalling/debtoxm/