An HPLC-UV method for the measurement of permeability of marker drugs in the Caco-2 cell assay
Braz. j. med. biol. res
;
44(6): 531-537, June 2011. ilus, tab
Article
Dans Anglais
| LILACS
| ID: lil-589982
ABSTRACT
The Caco-2 cell line has been used as a model to predict the in vitro permeability of the human intestinal barrier. The predictive potential of the assay relies on an appropriate in-house validation of the method. The objective of the present study was to develop a single HPLC-UV method for the identification and quantitation of marker drugs and to determine the suitability of the Caco-2 cell permeability assay. A simple chromatographic method was developed for the simultaneous determination of both passively (propranolol, carbamazepine, acyclovir, and hydrochlorothiazide) and actively transported drugs (vinblastine and verapamil). Separation was achieved on a C18 column with step-gradient elution (acetonitrile and aqueous solution of ammonium acetate, pH 3.0) at a flow rate of 1.0 mL/min and UV detection at 275 nm during the total run time of 35 min. The method was validated and found to be specific, linear, precise, and accurate. This chromatographic system can be readily used on a routine basis and its utilization can be extended to other permeability models. The results obtained in the Caco-2 bi-directional transport experiments confirmed the validity of the assay, given that high and low permeability profiles were identified, and P-glycoprotein functionality was established.
Texte intégral:
Disponible
Indice:
LILAS (Amériques)
Sujet Principal:
Préparations pharmaceutiques
/
Perméabilité des membranes cellulaires
/
Chromatographie en phase liquide à haute performance
/
Intestins
Type d'étude:
Étude pronostique
Limites du sujet:
Humains
langue:
Anglais
Texte intégral:
Braz. j. med. biol. res
Thème du journal:
Biologie
/
Médicament
Année:
2011
Type:
Article
Pays d'affiliation:
Brésil
Institution/Pays d'affiliation:
Universidade Federal de Santa Catarina/BR
/
Universidade Federal do Rio Grande do Sul/BR
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