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A Malária continua sendo a mais difundida e devastadora doença infecciosa, com aproximadamente 300 milhões de casos anuais e mais de 2 milhões de pessoas vivendo em áreas de risco. Entre os parasitas do gênero plasmodium causadores da malária em humanos, o plasmodium falciparum é a espécie mais letal. Este projeto teve como objetivo a síntese de pró-fármaco recíproco de cloroquina e primaquina e de pró-fármacos duplicados de cloroquina e de primaquina utilizando, para tanto, espaçantes inespecíficos (carboxílicos). Espera-se que o pró-fármaco recíproco permita a cura radical em casos de malária vivax e que os derivados duplicados apresentem maior eficácia, com diminuição da toxicidade, especialmente no caso do derivado de primaquina. Além desses compostos, propôs-se a síntese de pró-fármacos duplicados de cloroquina mediante a ligação com grupo espaçante específico (peptídeos) à cisão pela falcipaína. Tais derivados são potencialmente ativos em malária causada pelo P. falciparum resistente à cloroquina. / Malaria remains the world\'s most widespread and devastating infectious disease, with approximately 300 million annual cases and more than 2 million casualties. Among the protozoan parasites of the genus Plasmodium causing malaria in humans, Plasmodium falciparum is the most lethal species. This project had as objective the synthesis of reciprocal prodrug of chloroqine and primaquine using, for in such a way, inespecífics agents (carboxylics). One expects that the mutual prodrug allows to the radical cure in cases of malaria vivax and that the derivatives duplicates present greater effectiveness, with reduction of the toxicity, especially in the case of the primaquine derivative. Beyond these composites, it was considered synthesis of mutual prodrugs of chloroquine by means of the linking with specific carrier group (peptides) to the split for falcipain. Such derivatives are potentially active in malaria caused for the resistant P. falciparum to the chloroquine.

A Malária continua sendo a mais difundida e devastadora doença infecciosa, com aproximadamente 300 milhões de casos anuais e mais de 2 milhões de pessoas vivendo em áreas de risco. Entre os parasitas do gênero plasmodium causadores da malária em humanos, o plasmodium falciparum é a espécie mais letal. Este projeto teve como objetivo a síntese de pró-fármaco recíproco de cloroquina e primaquina e de pró-fármacos duplicados de cloroquina e de primaquina utilizando, para tanto, espaçantes inespecíficos (carboxílicos). Espera-se que o pró-fármaco recíproco permita a cura radical em casos de malária vivax e que os derivados duplicados apresentem maior eficácia, com diminuição da toxicidade, especialmente no caso do derivado de primaquina. Além desses compostos, propôs-se a síntese de pró-fármacos duplicados de cloroquina mediante a ligação com grupo espaçante específico (peptídeos) à cisão pela falcipaína. Tais derivados são potencialmente ativos em malária causada pelo P. falciparum resistente à cloroquina. / Malaria remains the world\'s most widespread and devastating infectious disease, with approximately 300 million annual cases and more than 2 million casualties. Among the protozoan parasites of the genus Plasmodium causing malaria in humans, Plasmodium falciparum is the most lethal species. This project had as objective the synthesis of reciprocal prodrug of chloroqine and primaquine using, for in such a way, inespecífics agents (carboxylics). One expects that the mutual prodrug allows to the radical cure in cases of malaria vivax and that the derivatives duplicates present greater effectiveness, with reduction of the toxicity, especially in the case of the primaquine derivative. Beyond these composites, it was considered synthesis of mutual prodrugs of chloroquine by means of the linking with specific carrier group (peptides) to the split for falcipain. Such derivatives are potentially active in malaria caused for the resistant P. falciparum to the chloroquine.

Pas de résumé en français / Malaria is a devastating global health problem that affected 219 million people and caused 660,000 deaths in 2010. Inaccurate estimation of the level of infection may have adverse clinical and therapeutic implications for patients, and for epidemiological endpoint measurements. The level of infection, expressed as the parasite density (PD), is classically defined as the number of asexual parasites relative to a microliter of blood. Microscopy of Giemsa-stained thick blood smears (TBSs) is the gold standard for parasite enumeration. Parasites are counted in a predetermined number of high-power fields (HPFs) or against a fixed number of leukocytes. PD estimation methods usually involve threshold values; either the number of leukocytes counted or the number of HPFs read. Most of these methods assume that (1) the distribution of the thickness of the TBS, and hence the distribution of parasites and leukocytes within the TBS, is homogeneous; and that (2) parasites and leukocytes are evenly distributed in TBSs, and thus can be modeled through a Poisson-distribution. The violation of these assumptions commonly results in overdispersion. Firstly, we studied the statistical properties (mean error, coefficient of variation, false negative rates) of PD estimators of commonly used threshold-based counting techniques and assessed the influence of the thresholds on the cost-effectiveness of these methods. Secondly, we constituted and published the first dataset on parasite and leukocyte counts per HPF. Two sources of overdispersion in data were investigated: latent heterogeneity and spatial dependence. We accounted for unobserved heterogeneity in data by considering more flexible models that allow for overdispersion. Of particular interest were the negative binomial model (NB) and mixture models. The dependent structure in data was modeled with hidden Markov models (HMMs). We found evidence that assumptions (1) and (2) are inconsistent with parasite and leukocyte distributions. The NB-HMM is the closest model to the unknown distribution that generates the data. Finally, we devised a reduced reading procedure of the PD that aims to a better operational optimization and a practical assessing of the heterogeneity in the distribution of parasites and leukocytes in TBSs. A patent application process has been launched and a prototype development of the counter is in process.

Malaria is a devastating global health problem that affected 219 million people and caused 660,000 deaths in 2010. Inaccurate estimation of the level of infection may have adverse clinical and therapeutic implications for patients, and for epidemiological endpoint measurements. The level of infection, expressed as the parasite density (PD), is classically defined as the number of asexual parasites relative to a microliter of blood. Microscopy of Giemsa-stained thick blood smears (TBSs) is the gold standard for parasite enumeration. Parasites are counted in a predetermined number of high-power fields (HPFs) or against a fixed number of leukocytes. PD estimation methods usually involve threshold values; either the number of leukocytes counted or the number of HPFs read. Most of these methods assume that (1) the distribution of the thickness of the TBS, and hence the distribution of parasites and leukocytes within the TBS, is homogeneous; and that (2) parasites and leukocytes are evenly distributed in TBSs, and thus can be modeled through a Poisson-distribution. The violation of these assumptions commonly results in overdispersion. Firstly, we studied the statistical properties (mean error, coefficient of variation, false negative rates) of PD estimators of commonly used threshold-based counting techniques and assessed the influence of the thresholds on the cost-effectiveness of these methods. Secondly, we constituted and published the first dataset on parasite and leukocyte counts per HPF. Two sources of overdispersion in data were investigated: latent heterogeneity and spatial dependence. We accounted for unobserved heterogeneity in data by considering more flexible models that allow for overdispersion. Of particular interest were the negative binomial model (NB) and mixture models. The dependent structure in data was modeled with hidden Markov models (HMMs). We found evidence that assumptions (1) and (2) are inconsistent with parasite and leukocyte distributions. The NB-HMM is the closest model to the unknown distribution that generates the data. Finally, we devised a reduced reading procedure of the PD that aims to a better operational optimization and a practical assessing of the heterogeneity in the distribution of parasites and leukocytes in TBSs. A patent application process has been launched and a prototype development of the counter is in process.