Loewe additivity

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 ${\displaystyle d_{1}}$ and ${\displaystyle d_{2}}$ be doses of compounds 1 and 2 producing in combination an effect ${\displaystyle e}$. We denote by ${\displaystyle D_{e1}}$ and ${\displaystyle D_{e2}}$ the doses of compounds 1 and 2 required to produce effect ${\displaystyle e}$ alone (assuming this conditions uniquely define them, i.e. that the individual dose-response functions are bijective). ${\displaystyle D_{e1}/D_{e2}}$ quantifies the potency of compound 1 relatively to that of compound 2.

${\displaystyle d_{2}D_{e1}/D_{e2}}$ can be interpreted as the dose ${\displaystyle d_{2}}$ 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 ${\displaystyle d_{1}+d_{2}D_{e1}/D_{e2}=D_{e1}}$ or ${\displaystyle d_{1}/D_{e1}+d_{2}/D_{e2}=1}$.

Geometrically, Loewe additivity is the situation where isoboles are segments joining the points ${\displaystyle (D_{e1},0)}$ and ${\displaystyle (0,D_{e2})}$ in the domain ${\displaystyle (d_{1},d_{2})}$.

If we denote by ${\displaystyle f_{1}(d_{1})}$, ${\displaystyle f_{2}(d_{2})}$ and ${\displaystyle f_{12}(d_{1},d_{2})}$ the dose-response functions of compound 1, compound 2 and of the mixture respectively, then dose additivity holds when

${\displaystyle {\frac {d_{1}}{f_{1}^{-1}(f_{12}(d_{1},d_{2}))}}+{\frac {d_{2}}{f_{2}^{-1}(f_{12}(d_{1},d_{2}))}}=1}$

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. S2CID   19783017.
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 . PMC   4555011 . 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. Bibcode:2007IEAM....3..364B. doi:10.1002/ieam.5630030307. PMID   17695109. S2CID   16438339.
5. "Github development repository for the R package MDR". GitHub . 2020-01-20.