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1.
Parasitol Int ; 83: 102338, 2021 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-33766741

RESUMO

Chagas disease is present in Latin America, North America, Europe, and Asia, where between 6 and 7 million people are infected. This illness is transmitted mainly by the insect vector during blood feeding and by oral transmission. Chagas disease is treated with benznidazole and its effectiveness depends on which phase of the disease the treatment starts. Therefore, the identification of new compounds with anti-Chagas activities is important. Protozoan parasites present cysteine proteases, important for host cell infection and differentiation, which have been explored as valid targets against pathogenic parasites. In the present study, the effects of 10 new 1,10-phenanthroline derivatives were evaluated on T. cruzi. Three of them were effective against amastigotes (IC50 from 0.5 to 3 µM), epimastigotes (IC50 from 0.5 to at least 10 µM) and trypomastigotes (and LD50 from 1 to 10 µM), and they were not toxic to mammalian cells (CC50 ≥ 20 µM). These compounds also promoted the formation of autophagosomes, alter the level of heterochromatin condensation, caused the loss of kDNA topology, and the elongated cell body shape. Apart from ultrastructural alterations, an increased generation of ROS and decreased mitochondrial membrane potential were observed. Therefore, these drugs revealed potential trypanocidal effects and warrant further antiparasitic studies against Chagas disease.


Assuntos
Fenantrolinas/farmacologia , Tripanossomicidas/farmacologia , Trypanosoma cruzi/efeitos dos fármacos , Fenantrolinas/classificação , Tripanossomicidas/classificação
2.
Curr Drug Targets ; 20(11): 1203-1216, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31020939

RESUMO

American Trypanosomiasis, a parasitic infection commonly named Chagas disease, affects millions of people all over Latin American countries. Presently, the World Health Organization (WHO) predicts that the number of international infected individuals extends to 7 to 8 million, assuming that more than 10,000 deaths occur annually. The transmission of the etiologic agent, Trypanosoma cruzi, through people migrating to non-endemic world nations makes it an emergent disease. The best promising targets for trypanocidal drugs may be classified into three main groups: Group I includes the main molecular targets that are considered among specific enzymes involved in the essential processes for parasite survival, principally Cruzipain, the major antigenic parasite cysteine proteinase. Group II involves biological pathways and their key specific enzymes, such as Sterol biosynthesis pathway, among others, specific antioxidant defense mechanisms, and bioenergetics ones. Group III includes the atypical organelles /structures present in the parasite relevant clinical forms, which are absent or considerably different from those present in mammals and biological processes related to them. These can be considered potential targets to develop drugs with extra effectiveness and fewer secondary effects than the currently used therapeutics. An improved distinction between the host and the parasite targets will help fight against this neglected disease.


Assuntos
Doença de Chagas/tratamento farmacológico , Tripanossomicidas/farmacologia , Vias Biossintéticas/efeitos dos fármacos , Doença de Chagas/metabolismo , Humanos , Terapia de Alvo Molecular/métodos , Proteínas de Protozoários/efeitos dos fármacos , Tripanossomicidas/classificação , Tripanossomicidas/uso terapêutico , Trypanosoma cruzi/efeitos dos fármacos , Trypanosoma cruzi/metabolismo
3.
Bioorg Med Chem ; 13(22): 6264-75, 2005 Nov 15.
Artigo em Inglês | MEDLINE | ID: mdl-16115770

RESUMO

A non-stochastic quadratic fingerprints-based approach is introduced to classify and design, in a rational way, new antitrypanosomal compounds. A data set of 153 organic chemicals, 62 with antitrypanosomal activity and 91 having other clinical uses, was processed by a k-means cluster analysis to design training and predicting data sets. Afterwards, a linear classification function was derived allowing the discrimination between active and inactive compounds. The model classifies correctly more than 93% of chemicals in both training and external prediction groups. The predictability of this discriminant function was also assessed by a leave-group-out experiment, in which 10% of the compounds were removed at random at each time and their activity predicted a posteriori. In addition, a comparison with models generated using four well-known families of 2D molecular descriptors was carried out. As an experiment of virtual lead generation, the present TOMOCOMD approach was finally satisfactorily applied on the virtual evaluation of 10 already synthesized compounds. The in vitro antitrypanosomal activity of this series against epimastigotes forms of Trypanosomal cruzi was assayed. The model was able to predict correctly the behaviour of these compounds in 90% of the cases.


Assuntos
Biologia Computacional/métodos , Simulação por Computador , Desenho de Fármacos , Tripanossomicidas/química , Animais , Análise por Conglomerados , Análise Discriminante , Testes de Sensibilidade Parasitária , Tripanossomicidas/classificação , Trypanosoma cruzi/efeitos dos fármacos
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