230
N. Denora et al. / International Journal of Pharmaceutics 437 (2012) 221–231
Berson, A., Descatoire, V., Sutton, A., Fau, D., Maulny, B., Vadrot, N., Feldmann, G.,
Berthon, B., Tordjmann, T., Pessayre, D., 2001. Toxicity of alpidem, a peripheral
benzodiazepine receptor ligand, but not zolpidem, in rat hepatocytes: role of
mitochondrial permeability transition and metabolic activation. J. Pharmacol.
Exp. Ther. 299, 793–800.
be classified. Unlike compounds 1–3, these compounds cannot be
considered typical “DA prodrugs” given their activity at benzo-
diazepine receptors. Indeed, the term “prodrug”, as proposed by
Albert (1958), refers to an “inactive” derivative, obtained by linking
a drug to a promoiety that requires an in vivo chemical or enzymatic
together in a single molecule. Such derivatives are called “mutual
prodrugs” or “codrugs” and offer the advantage of co-delivery when
(Das et al., 2010). A codrug has a distinct advantage over the use
of either parent drugs alone because it incorporates their chemical
properties while allowing a better pharmacokinetic profile and/or a
sustained delivery over an extended period of time (Einmahl et al.,
1999). Our findings suggest that 4 and 5 are able to reach the CNS
and that the lipophilic and pharmacologically active imidazopy-
ridine moieties (8 and 9 respectively) could serve as DA carrier. In
addition, the phenyl-imidazopyridine portion is important because
it plays both a pharmacodynamic and a pharmacokinetic role (i.e.,
BBB crossing ability). Finally, the sustained DA release observed in
The benefit of producing a codrug with a GABAergic moiety is
of PD to deliver DA or LD together with antioxidant molecules
[e.g. (R)-␣-lipoic acid, glutathione] (Di Stefano et al., 2009), or in
combination with a potent catechol-O-methyl transferase inhibitor
(e.g. Entacapone) (Leppanen et al., 2002; Sozio et al., 2012). In this
regard, it is noteworthy that the latter codrug is characterized by
study.
Casellas, P., Galiegue, S., Basile, A.S., 2002. Peripheral benzodiazepine receptors and
mitochondrial function. Neurochem. Int. 40, 475–486.
Cassano, T., Gaetani, S., Morgese, M.G., Macheda, T., Laconca, L., Dipasquale, P., Tal-
tavull, J., Shippenberg, T.S., Cuomo, V., Gobbi, G., 2009. Monoaminergic changes
in locus coeruleus and dorsal raphe nucleus following noradrenaline depletion.
Neurochem. Res. 34, 1417–1426.
Cenci, M.A., 2007. Dopamine dysregulation of movement control in L-DOPA induced
Clark, D.E., 1999a. Rapid calculation of polar molecular surface area and its appli-
cation to the prediction of transport phenomena 2. Prediction of blood–brain
barrier penetration. J. Pharm. Sci. 88, 815–821.
Clark, D.E., 1999b. Rapid calculation of polar molecular surface area and its appli-
cation to the prediction of transport phenomena 1. Prediction of intestinal
absorption. J. Pharm. Sci. 88, 807–814.
Daniele, A., Albanese, A., Gainotti, G., Gregari, B., Bartolomeo, P., 1997. Zolpidem in
Parkinson’s disease. Lancet 349, 1222–1223.
Das, N., Dhanawat, M., Dash, B., Nagarwal, R.C., Shrivastava, S.K., 2010. Codrug: an
efficient approach for drug optimization. Eur. J. Pharm. Sci. 41, 571–588.
de Candia, M., Fossa, P., Cellamare, S., Mosti, L., Carotti, A., Altomare, C., 2005. Insights
into structure–activity relationships from lipophilicity profiles of pyridin-2(1H)-
one analogs of the cardiotonic agent milrinone. Eur. J. Pharm. Sci. 26, 78–86.
De Giglio, E., Trapani, A., Cafagna, D., Sabbatini, L., Cometa, S., 2011. Dopamine-
loaded chitosan nanoparticles: formulation and analytical characterization.
Anal. Bioanal. Chem. 400, 1997–2002.
Denora, N., Laquintana, V., Lopedota, A., Serra, M., Dazzi, L., Biggio, G., Pal, D., Mitra,
A.K., Latrofa, A., Trapani, G., Liso, G., 2007. Novel L-dopa and dopamine prodrugs
containing a 2-phenyl-imidazopyridine moiety. Pharm. Res. 24, 1309–1324.
Denora, N., Laquintana, V., Pisu, M.G., Dore, R., Murru, L., Latrofa, A., Trapani,
G., Sanna, E., 2008. 2-Phenyl-imidazo[1,2-a]pyridine compounds containing
hydrophilic groups as potent and selective ligands for peripheral benzodi-
azepine receptors: synthesis, binding affinity and electrophysiological studies.
J. Med. Chem. 51, 6876–6888.
Denora, N., Trapani, A., Laquintana, V., Lopedota, A., Trapani, G., 2009. Recent
advances in medicinal chemistry and pharmaceutical technology-strategies for
drug delivery to the brain. Curr. Top. Med. Chem. 9, 182–196.
Denora, N., Laquintana, V., Trapani, A., Lopedota, A., Latrofa, A., Gallo, J.M., Trapani,
G., 2010. Translocator protein (TSPO) ligand-Ara-c (cytarabine) conjugates as a
strategy to deliver antineoplastic drugs and to enhance drug clinical potential.
Mol. Pharm. 6, 2255–2269.
Deumens, R., Blokland, A., Prickaerts, J., 2002. Modeling Parkinson’s disease in rats:
an evaluation of 6-OHDA lesions of nigrostriatal pathway. Exp. Neurol. 175,
Di Stefano, A., Sozio, P., Iannitelli, A., Cerasa, L.S., 2009. New drug delivery strate-
gies for improbe Parkinson’s disease therapy. Expert Opin. Drug Deliv. 6,
389–404.
Einmahl, S., Deshpande, A.A., Tabatabay, C., Gurny, R., 1999. Mucosal drug delivery
intravitreal. In: Mathiowitz, E. (Ed.), Encyclopedia of Controlled Drug Delivery.
Wiley-Interscience Publication, New York, pp. 564–592.
Ertl, P., Rohde, B., Selzer, P., 2000. Fast calculation of molecular polar surface area as
a sum of fragment-based contributions and its application to the prediction of
drug transport properties. J. Med. Chem. 43, 3714–3717.
agent-DA or -LD ethyl ester-conjugation is an efficient strategy to
deliver the DA to the brain by chemical approach alternative to
the use of nanoparticulate delivery systems (Trapani et al., 2011;
De Giglio et al., 2011). It supports the conclusion that compounds
4 and 5 may be considered two new DA codrugs with potential
application for PD treatment.
Feng, B., Mills, J.B., Davidson, R.E., Mireles, R.J., Janiszewski, J.S., Troutman, M.D., de
Morais, S.M., 2008. In vitro P-glycoprotein assays to predict the in vivo interac-
tions of P-glycoprotein with drugs in the central nervous system. Drug Metab.
Dispos. 36, 268–275.
Acknowledgments
Fontaine, M., Elmquist, W.F., Miller, D.W., 1996. Use of rhodamine 123 to examine
the functional activity of P-glycoprotein in primary cultured brain microvessel
endothelial cell monolayers. Life Sci. 59, 1521–1531.
Jankovic, J., Marsden, C.D., 1988. Therapeutic strategies in Parkinson’s disease. In:
Jankovic, J., Tolosa, E. (Eds.), Parkinson’s Disease and Movement Disorders.
Urban, Munich, pp. 95–119.
Leppanen, J., Huuskonen, J., Nevalainen, T., Gynther, J., Taipale, H., Järvinen, T., 2002.
Design and synthesis of a novel L-dopa-entacapone codrug. J. Med. Chem. 45,
1379–1382.
Majewska, M.D., Harrison, N.L., Schwartz, R.D., Barker, J.L., Paul, S.M., 1986. Steroid
hormone metabolites are barbiturate-like modulators of the GABA receptor.
Science 232, 1004–1007.
This work was supported by
a grant from Ministero
dell’Università e della Ricerca Scientifica e Tecnologica (MIUR) and
from NS050401 (to AG). We thank Dr. M. De Candia (Department of
Pharmacy, University of Bari) for his help with the Exp log P mea-
surements and Mr Giovanni Dipinto and Mr Antonio Palermo for
their skilful technical assistance in recording mass spectra and NMR
spectra, respectively.
References
Mao, Q., Unadkat, J.D., 2005. Role of the breast cancer resistance protein (ABCG2) in
drug transport. AAPS J. 7 (1), E118–E133.
Ahlskog, J.E., Muenter, M.D., 2001. Frequency of levodopa-related dyskinesias and
motor fluctuations as estimated from the cumulative literature. Mov. Disord. 16,
448–458.
Albert, A., 1958. Chemical aspect of selective toxicity. Nature 182, 421–423.
Audus, K.L., Borchardt, R.T., 1987. Bovine brain microvessel endothelial cell mono-
layers as a model system for the blood–brain barrier. Ann. N. Y. Acad. Sci. 507,
9–18.
Audus, K.L., Ng, L., Wang, W., Borchardt, R.T., 1996. In: Borchardt, R.T., Smith, P.L.,
Wilson, G. (Eds.), Model Systems for Biopharmaceutical Assessment of Drug
Absorption and Metabolism. Plenum, New York, pp. 239–258.
Audus, K.L., Rose, J.M., Wang, W., Borchardt, R.T., 1998. Brain microvessel endothelial
cell culture systems. In: Pardridge, W. (Ed.), An Introduction to the Blood–brain
Barrier: Methodology and Biology. Cambridge University, Cambridge, pp. 86–93.
Mehdipour, A.R., Hamidi, M., 2009. Brain drug targeting: a computational approach
for overcoming blood–brain barrier. Drug Discov. Today 14, 1030–1036.
Morgese, M.G., Cassano, T., Gaetani, S., Macheda, T., Laconca, L., Dipasquale, P., Fer-
raro, L., Antonelli, T., Cuomo, V., Giuffrida, A., 2009. Neurochemical changes in
the striatum of dyskinetic rats after administration of the cannabinoid agonist
WIN55,212-2. Neurochem. Int. 54 (1), 56–64.
Norinder, U., Haeberlein, M., 2002. Computational approaches to the prediction of
the blood–brain distribution. Adv. Drug Deliv. Rev. 54, 291–313.
Nutt, J.G., Woodward, W.R., 1986. Levodopa pharmacokinetics and pharmacody-
namics in fluctuating parkinsonian patients. Neurology 36, 739–744.
Pardridge, W.M., 2001. Brain Drug Targeting: The Future of Brain Drug Development.
Cambridge University Press, Cambridge, UK.