The nerve growth factor (NGF) is essential for the survival of both peripheral ganglion cells and central cholinergic neurons in the basal forebrain. The accelerated loss of central cholinergic neurons during Alzheimer's disease may be a determinant cause of dementia, and this observation may suggest a possible therapeutic benefit from treatment with NGF. In recent years, convincing data have been published involving neurotrophic factors for the modulation of dopaminergic transmission within the brain and concerning the ability of NGF to prevent the degeneration of dopaminergic neurons. In this connection, the administration of NGF may slow down the progression of Parkinson's disease. However, NGF, as well as other peptidic neurotrophic factors, does not significantly penetrate the blood-brain barrier (BBB) from the circulation. Therefore, any clinical usefulness of NGF as a potential CNS therapy will depend on the use of a suitable carrier system that enhances its transport through the BBB. The present study investigates brain delivery of NGF adsorbed on poly(butyl cyanoacrylate) (PBCA) nanoparticles coated with polysorbate 80 and the pharmacological efficacy of this delivery system in the model of acute scopolamine-induced amnesia in rats as well as in the model of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced Parkinsonian syndrome. As shown by the passive avoidance reflex (PAR) test, the intravenous administration of the nanoparticle-bound NGF successfully reversed scopolamine-induced amnesia and improved recognition and memory. This formulation also demonstrated a significant reduction of the basic symptoms of Parkinsonism (oligokinesia, rigidity, tremor). In addition, the efficient transport of NGF across the BBB was confirmed by direct measurement of NGF concentrations in the murine brain. These results demonstrate that the PBCA nanoparticles coated with polysorbate 80 are an effective carrier system for the transport of NGF to the central nervous system across the BBB following intravenous injection. This approach may improve the NGF-based therapy of age-related neurodegenerative diseases.

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To discover new cognition enhancers, a set of virtually designed synthesizable compounds from different chemical series was investigated using two computer-aided approaches. One of the approaches is prediction of biological activity spectra for substances (PASS) and the second is prediction of toxicity, mutagenicity, and carcinogenicity (DEREK). To increase the probability of finding new chemical entities, we investigated a heterogeneous set of highly diverse chemicals including different types of heterocycles: five-membered (thiophenes, thiazoles, imidazoles, oxazoles, pyrroles), six-membered (pyridines, pyrimidines), seven-membered (diazepines, triazepines), fused five+six-membered heterocycles (indoles, benzothiazoles, purines, indolizines, neutral, mesoionic, and cationic azolopyridines). A database including 5494 structures of compounds was created. On the basis of the PASS and DEREK prediction results, eight compounds with the highest probability of cognition-enhancing effect were selected. The cognition-enhancing activity testing showed that all of the selected compounds had a pronounced antiamnesic effect and were found to reduce significantly scopolamine-induced amnesia of passive avoidance reflex (PAR). The action of compounds at doses of 1 and 10 mg/kg caused a statistically significant increase in latent time of reflex and in the number of animals, which did not enter the dark chamber when testing the PAR. Therefore, on the basis of computer prediction, new cognition-enhancing agents were discovered within the chemical series, in which this activity was not known previously.

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