2015
DOI: 10.1038/srep14866
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Characterization of plasma protein binding dissociation with online SPE-HPLC

Abstract: A novel parameter of relative recovery (Rre) was defined and determined by online SPE-HPLC to characterize plasma protein binding (PPB) kinetics of highly plasma binding drugs. The proportional relationship of Rre with koff of PPB has been established with a new SPE model. A rapid, easy to use method could potentially be used to categorize PK properties of the drug candidates in the decision process of drug discovery and development.

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Cited by 19 publications
(16 citation statements)
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“…Moreover, in vitro PPB may not mirror in vivo PPB in the live animal as the structure of the plasma proteins and their affinity to bind substrates can vary with age, disease and /or presence of competing endogenous and exogenous compounds such as dietary constituents or other therapeutic drugs [ 33 , 34 ]. Furthermore, the drug-protein dissociation rate, which can also greatly affect highly PPB drugs [ 35 ], was not determined in this study. Likewise, an additional limitation to this project was the scarcity of confirmed FIP-affected plasma as this impacted upon its availability for use in both the HPLC validation and PPB protocols.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, in vitro PPB may not mirror in vivo PPB in the live animal as the structure of the plasma proteins and their affinity to bind substrates can vary with age, disease and /or presence of competing endogenous and exogenous compounds such as dietary constituents or other therapeutic drugs [ 33 , 34 ]. Furthermore, the drug-protein dissociation rate, which can also greatly affect highly PPB drugs [ 35 ], was not determined in this study. Likewise, an additional limitation to this project was the scarcity of confirmed FIP-affected plasma as this impacted upon its availability for use in both the HPLC validation and PPB protocols.…”
Section: Discussionmentioning
confidence: 99%
“…The lower free drug concentration, in turn, shifts the equilibrium of drug-plasma protein binding and leads to a release of drug. Depending on the drug, modeling the kinetics of protein plasma binding can, therefore, be crucial [21]. As, furthermore, nutritional components as well as other drugs administered at the same time can be bound by the same transport proteins, other drugs as well as nutrition can affect free drug concentration and thus efficacy [22].…”
Section: Binding Kinetics To Plasma Proteinsmentioning
confidence: 99%
“…For drugs that slowly dissociate from their targets, the free drug and drug-target will not be in rapid equilibrium. In this case, the traditional PK/PD model may underpredict the drug effect [22], whereas models with time-dependent drug-target binding will be more mechanistic and suitable for analyzing the relationship between drug concentration and efficacy [21]. However, it is challenging to estimate the relationship (i.e., define the function effect E = f(AT), see "Pharmacokinetics and pharmacodynamics") between target occupancy and drug effects.…”
Section: Linking Target Occupancy To Drug Efficacymentioning
confidence: 99%
“…Donde los valores de k e y V d /F corresponden a los valores estimados de los L I , L S y promedio de cada parámetro, 125 y 22 corresponden a los valores de punto de corte para evaluar la eficacia de MFX para garantizar la cura bacteriológica y para prevenir la emergencia de cepas resistentes respectivamente y f u es la fracción no unida a proteínas plasmáticas o fracción libre. Las dro-gas con bajo porcentaje de unión a proteínas plasmáticas como MFX (<30%), presentan una cinética de unión a proteínas de tipo lineal (Mehvar, 2005) donde ante una disminución de la concentración de la forma libre, el equilibrio entre la forma libre y la forma unida es un proceso que resulta en una constante e instan-tánea concentración de fármaco en forma libre (Li et al 2015). Así las concentraciones totales en plasma de este tipo de drogas pueden considerarse como farma-cológicamente activas y se puede asumir para la f u de MFX un valor de 1 (Lei et al 2017).…”
Section: Ecuación 13unclassified