Medicine:Loewe additivity

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Short description: Reference model for measuring drug combination effects

In toxicodynamics and pharmacodynamics, Loewe additivity (or dose additivity) is one of several common reference models used for measuring the effects of drug combinations.[1][2][3]

Definition

Let d1 and d2 be doses of compounds 1 and 2 producing in combination an effect e. We denote by De1 and De2 the doses of compounds 1 and 2 required to produce effect e alone (assuming this conditions uniquely define them, i.e. that the individual dose-response functions are bijective). De1/De2 quantifies the potency of compound 1 relatively to that of compound 2.

d2De1/De2 can be interpreted as the dose d2 of compound 2 converted into the corresponding dose of compound 1 after accounting for difference in potency.

Loewe additivity is defined as the situation where d1+d2De1/De2=De1 or d1/De1+d2/De2=1.

Geometrically, Loewe additivity is the situation where isoboles are segments joining the points (De1,0) and (0,De2) in the domain (d1,d2).

If we denote by f1(d1), f2(d2) and f12(d1,d2) the dose-response functions of compound 1, compound 2 and of the mixture respectively, then dose additivity holds when

d1f11(f12(d1,d2))+d2f21(f12(d1,d2))=1

Testing

The Loewe additivity equation provides a prediction of the dose combination eliciting a given effect. Departure from Loewe additivity can be assessed informally by comparing this prediction to observations. This approach is known in toxicology as the model deviation ratio (MDR).[4]

This approach can be rooted in a more formal statistical method with the derivation of approximate p-values with Monte Carlo simulation, as implemented in the R package MDR.[5][clarification needed]

References

  1. Greco, W.R.; Bravo, G.; Parsons, J. (1995). "The Search for Synergy: A Critical Review from a Response Surface Perspective". Pharmacol. Rev. 47 (2): 331–385. doi:10.1016/S0031-6997(25)06847-4. PMID 7568331. 
  2. Loewe, S. (1926). "Effect of combinations: mathematical basis of problem". Arch. Exp. Pathol. Pharmakol. 114: 313–326. doi:10.1007/BF01952257. 
  3. Tang, J.; Wennerberg, J.K.; Aittokallio, T. (2015). "What Is Synergy? The Saariselkä Agreement Revisited.". Frontiers in Pharmacology 6: 181. doi:10.3389/fphar.2015.00181. PMID 26388771. 
  4. Belden, J. B.; Gilliom, R.; Lydy, M.J. (2007). "How well can we predict the toxicity of pesticide mixtures to aquatic life?". Integr. Environ. Assess. Manag. 3 (3): 364–72. doi:10.1002/ieam.5630030307. PMID 17695109. Bibcode2007IEAM....3..364B. 
  5. "Github development repository for the R package MDR". 2020-01-20. https://github.com/gilles-guillot/MDR.