Produção de um anticorpo policlonal anti-Duffy de Bos taurus taurus para detecção e quantificação do antígeno em eritrócitos bovinos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Fracionamento bioguiado para selação de substâncias antioxidante, antimalárica e antibiótica potenciais nas espécies Kielmeyera variabilis (Clusiaceae) e Brosimum Glaziovii (Moraceae)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Peptídeos cíclicos em espécies do semiárido brasileiro e uma cultivada: caracterização e atividade biológica

Pós-graduação em Química - IQ

Antimalarial activity of piperidine alkaloids from Senna spectabilis and semisynthetic derivatives

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Ribifolin, an orbitide from jatropha ribifolia, and its potential antimalarial activity

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Biological characterization of the Amazon coral Micrurus spixii snake venom: isolation of a new neurotoxic phospholipase A2

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Assessing the gain of biological data integration in gene networks inference

Background: A current challenge in gene annotation is to define the gene function in the context of the network of relationships instead of using single genes. The inference of gene networks (GNs) has emerged as an approach to better understand the biology of the system and to study how several components of this network interact with each other and keep their functions stable. However, in general there is no sufficient data to accurately recover the GNs from their expression levels leading to the curse of dimensionality, in which the number of variables is higher than samples. One way to mitigate this problem is to integrate biological data instead of using only the expression profiles in the inference process. Nowadays, the use of several biological information in inference methods had a significant increase in order to better recover the connections between genes and reduce the false positives. What makes this strategy so interesting is the possibility of confirming the known connections through the included biological data, and the possibility of discovering new relationships between genes when observed the expression data. Although several works in data integration have increased the performance of the network inference methods, the real contribution of adding each type of biological information in the obtained improvement is not clear. Methods: We propose a methodology to include biological information into an inference algorithm in order to assess its prediction gain by using biological information and expression profile together. We also evaluated and compared the gain of adding four types of biological information: (a) protein-protein interaction, (b) Rosetta stone fusion proteins, (c) KEGG and (d) KEGG+GO. Results and conclusions: This work presents a first comparison of the gain in the use of prior biological information in the inference of GNs by considering the eukaryote (P. falciparum) organism. Our results indicates that information based on direct interaction can produce a higher improvement in the gain than data about a less specific relationship as GO or KEGG. Also, as expected, the results show that the use of biological information is a very important approach for the improvement of the inference. We also compared the gain in the inference of the global network and only the hubs. The results indicates that the use of biological information can improve the identification of the most connected proteins.

Vesicles as carriers of virulence factors in parasitic protozoan diseases

Different types of shed vesicles as, for example, exosomes, plasma-membrane-derived vesicles or microparticles, are the focus of intense research in view of their potential role in cell cell communication and under the perspective that they might be good tools for immunotherapy, vaccination or diagnostic purposes. This review discusses ways employed by pathogenic trypanosomatids to interact with the host by shedding vesicles that contain molecules important for the establishment of infection, as opposed to previous beliefs considering them as a waste of cellular metabolism. Trypanosomatids are compared with Apicomplexa, which circulate parasite antigens bound to vesicles shed by host cells. The knowledge of the origin and chemical composition of these different vesicles might lead to the understanding of the mechanisms that determine their biological function. (C) 2012 Institut Pasteur. Published by Elsevier Masson SAS. All rights reserved.

Biochemische Charakterisierung der Zyklin-abhängigen Kinase 2,Aktivator-Komplexe des Parasiten Eimeria tenella sowie deren Nutzung in der Wirkstoffforschung

Der Stamm der Apicomplexa ist eine artenreiche Gruppe, der einzellige, meist obligat intrazelluläre Parasiten angehören, darunter auch erstzunehmende Krankheitserreger wie Plasmodium sp. sowie tierpathogene Vertreter wie Eimeria sp. und Theileria sp. Eimeria sp. verursacht die Kokzidiose beim Huhn. Diese Krankheit bedingt weltweite Verluste in der Geflügelindustrie von etwa 3 Milliarden US$ pro Jahr [DALLOUL & LILLEHOJ, 2006; SHIRLEY et al., 2007; LUCIUS & LOOS-FRANK, 2008]. Die Parasiten weisen eine hohe Resistenzbildungsrate gegen vorhandene Wirkstoffe auf. Zudem ist der Einsatz von Vakzinen mit Nebenwirkungen verbunden und für hohe Produktionskosten verantwortlich. Daher ist die Entwicklung von neuen, kostengünstigen und effektiven Kokzidiostatika eine dringend notwendige Herausforderung [KINNAIRD et al., 2004]. rnAuf Grund ihrer essentiellen, regulatorischen Funktion im eukaryotischen Zellzyklus sind Zyklin-abhängige Kinasen (CDKs) validierte Zielproteine [LEHNINGER et al., 2005]. Auch Eimeria tenella CDC2-related kinase 2 (EtCRK2) wurde bereits mittels des bekannten CDK-Inhibitors Flavopiridol als Zielprotein chemisch validiert [ENGELS et al., 2010]. Wie bei allen CDKs ist die Aktivität von EtCRK2 abhängig von der Bindung eines Aktivators, der zur Zyklin-Proteinfamilie gehört. Dieser natürliche EtCRK2-Aktivator war jedoch bislang nicht bekannt. Deshalb war ein Teil dieser Arbeit die Identifizierung des natürlichen EtCRK2-Aktivators. Bioinformatische Analysen identifizierten vier E. tenella Zyklin-ähnliche Proteine (EtCYC1, EtCYC3a, EtCYC3b und EtCYC4), die nah verwandt zu den Plasmodium falciparum-Zyklinen sind [ENGELS et al., 2010; SUÁREZ FERNÁNDEZ et al., bislang unveröffentlichte Daten]. Im Rahmen dieser Arbeit konnten zwei neue Aktivatoren identifiziert und biochemisch charakterisiert werden: der bekannte CDK-Aktivator XlRINGO und das neue E. tenella-Zyklin EtCYC3a. Nachdem der nicht-radioaktive TR-FRET-Assay für die EtCRK2 etabliert und optimiert wurde, konnte die EtCRK2-Aktivität im Komplex mit beiden Aktivatoren und weitere wichtige kinetische Parameter bestimmt werden.rnZusätzlich wurde dieser Assay zum in vitro Screening einer kommerziellen Chemikalienbibliothek auf die EtCRK2 eingesetzt, um potentielle Inhibitoren für EtCRK2 zu identifizieren. Dieses in vitro Screening gefolgt von einer in silico Hit-Anreicherung identifizierte 19 aktive Verbindungen für die durch EtCYC3a und XlRINGO aktivierte EtCRK2. Zudem wurden drei Struktur-Cluster definiert: Naphthoquinone, 8-Hydroxyquinoline und 2-Pyrimidinyl-aminopiperidin-propan-2-ole. rnDie aktivsten Vertreter von jedem Cluster wurden als Leitstrukturen ausgewählt und auf EtCRK2 und HsCDK2 getestet. Aufgrund ihrer inhibierenden Wirkung auf EtCRK2 stellen diese Verbindungen viel versprechende Leitstrukturen für die Entwicklung eines neuen Antikokzidiums dar. Hiermit konnte auch gezeigt werden, dass BES124764, der Vertreter des 2-Pyrimidinyl-aminopiperidin-propan-2-ol-Clusters, in der Lage ist, die EtCRK2 selektiv zu inhibieren. rnDaher wird BES124764 sowie einige Derivate in den Leitstruktur-Optimierungsprozess für die Auffindung eines neuen Arzneimittelkandidaten gegen Kokzidiose eingehen.rn

Reduced neutrophil count in people of African descent is due to a regulatory variant in the Duffy antigen receptor for chemokines gene.

Persistently low white blood cell count (WBC) and neutrophil count is a well-described phenomenon in persons of African ancestry, whose etiology remains unknown. We recently used admixture mapping to identify an approximately 1-megabase region on chromosome 1, where ancestry status (African or European) almost entirely accounted for the difference in WBC between African Americans and European Americans. To identify the specific genetic change responsible for this association, we analyzed genotype and phenotype data from 6,005 African Americans from the Jackson Heart Study (JHS), the Health, Aging and Body Composition (Health ABC) Study, and the Atherosclerosis Risk in Communities (ARIC) Study. We demonstrate that the causal variant must be at least 91% different in frequency between West Africans and European Americans. An excellent candidate is the Duffy Null polymorphism (SNP rs2814778 at chromosome 1q23.2), which is the only polymorphism in the region known to be so differentiated in frequency and is already known to protect against Plasmodium vivax malaria. We confirm that rs2814778 is predictive of WBC and neutrophil count in African Americans above beyond the previously described admixture association (P = 3.8 x 10(-5)), establishing a novel phenotype for this genetic variant.

Genome profiling of sterol synthesis shows convergent evolution in parasites and guides chemotherapeutic attack

Sterols are an essential class of lipids in eukaryotes, where they serve as structural components of membranes and play important roles as signaling molecules. Sterols are also of high pharmacological significance: cholesterol-lowering drugs are blockbusters in human health, and inhibitors of ergosterol biosynthesis are widely used as antifungals. Inhibitors of ergosterol synthesis are also being developed for Chagas's disease, caused by Trypanosoma cruzi. Here we develop an in silico pipeline to globally evaluate sterol metabolism and perform comparative genomics. We generate a library of hidden Markov model-based profiles for 42 sterol biosynthetic enzymes, which allows expressing the genomic makeup of a given species as a numerical vector. Hierarchical clustering of these vectors functionally groups eukaryote proteomes and reveals convergent evolution, in particular metabolic reduction in obligate endoparasites. We experimentally explore sterol metabolism by testing a set of sterol biosynthesis inhibitors against trypanosomatids, Plasmodium falciparum, Giardia, and mammalian cells, and by quantifying the expression levels of sterol biosynthetic genes during the different life stages of T. cruzi and Trypanosoma brucei. The phenotypic data correlate with genomic makeup for simvastatin, which showed activity against trypanosomatids. Other findings, such as the activity of terbinafine against Giardia, are not in agreement with the genotypic profile.

The Fatty Acid Biosynthesis Enzyme FabI Plays a Key Role in the Development of Liver-Stage Malarial Parasites

The fatty acid synthesis type II pathway has received considerable interest as a candidate therapeutic target in Plasmodium falciparum asexual blood-stage infections. This apicoplast-resident pathway, distinct from the mammalian type I process, includes FabI. Here, we report synthetic chemistry and transfection studies concluding that Plasmodium FabI is not the target of the antimalarial activity of triclosan, an inhibitor of bacterial FabI. Disruption of fabI in P. falciparum or the rodent parasite P. berghei does not impede blood-stage growth. In contrast, mosquito-derived, FabI-deficient P. berghei sporozoites are markedly less infective for mice and typically fail to complete liver-stage development in vitro. This defect is characterized by an inability to form intrahepatic merosomes that normally initiate blood-stage infections. These data illuminate key differences between liver- and blood-stage parasites in their requirements for host versus de novo synthesized fatty acids, and create new prospects for stage-specific antimalarial interventions.

DETECTION OF MALARIAL SPOROZOITES BY THE ENZYME LINKED IMMUNOSORBENT ASSAY (ELISA)

Detection of malarial sporozoites by a double antibody sandwich enzyme linked immunosorbent assay (ELISA) is described. This investigation utilized the Anopheles stephensi-Plasmodium berghei malaria model for the generation of sporozoites. Anti-sporozoite antibody was obtained from the sera of rats which had been bitten by An. stephensi with salivary gland sporozoites. Mosquitoes were irradiated prior to feeding on the rats to render the sporozoites non-viable.^ The assay employed microtiter plates coated with their rat anti-sporozoite antiserum or rat anti-sporozoite IgG. Intact and sonicated sporozoites were used as antigens. Initially, sporozoites were detected by an ELISA using staphylococcal protein A conjugated with alkaline phosphatase. Sporozoites were also detected using alkaline phosphatase or horseradish peroxidase conjugated to anti-sporozoite IgG. Best results were obtained using the alkaline phosphatase conjugate.^ This investigation included the titration of antigen, coating antibody and labelled antibody as well as studies of various incubation times. A radioimmunoassay (RIA) was also developed and compared with the ELISA for detecting sporozoites. Finally, the detection of a single infected mosquito in pools of 5 to 10 whole, uninfested ones was studied using both ELISA and RIA.^ Sonicated sporozoites were more readily detected than intact sporozoites. The lower limit of detection was approximately 500 sporozoites per ml. Results using ELISA or RIA were similar. The ability of the ELISA to detect a single infected mosquito in a pool of uninfected ones indicates that this technique has potential use in entomological field studies which aim at determining the vector status of anopheline mosquitoes. The potential of the ELISA for identifying sporozoites of different species of malaria is discussed. ^

A dimeric crystal structure for the N-terminal two domains of intercellular adhesion molecule-1

The 3.0-Å structure of a 190-residue fragment of intercellular adhesion molecule-1 (ICAM-1, CD54) reveals two tandem Ig-superfamily (IgSF) domains. Each of two independent molecules dimerizes identically with a symmetry-related molecule over a hydrophobic interface on the BED sheet of domain 1, in agreement with dimerization of ICAM-1 on the cell surface. The residues that bind to the integrin LFA-1 are well oriented for bivalent binding in the dimer, with the critical Glu-34 residues pointing away from each other on the periphery. Residues that bind to rhinovirus are in the flexible BC and FG loops at the tip of domain 1, and these and the upper half of domain 1 are well exposed in the dimer for docking to virus. By contrast, a residue important for binding to Plasmodium falciparum-infected erythrocytes is in the dimer interface. The presence of A′ strands in both domains 1 and 2, conserved hydrogen bonds at domain junctions, and elaborate hydrogen bond networks around the key integrin binding residues in domain 1 make these domains suited to resist tensile forces during adhesive interactions. A subdivision of the intermediate (I) set of IgSF domains is proposed in which domain 1 of ICAM-1 and previously described I set domains belong to the I1 set and domain 2 of ICAM-1, ICAM-2, and vascular cell adhesion molecule-1 belong to the I2 set.

Growth of Toxoplasma gondii is inhibited by aryloxyphenoxypropionate herbicides targeting acetyl-CoA carboxylase

Aryloxyphenoxypropionates, inhibitors of the plastid acetyl-CoA carboxylase (ACC) of grasses, also inhibit Toxoplasma gondii ACC. Clodinafop, the most effective of the herbicides tested, inhibits growth of T. gondii in human fibroblasts by 70% at 10 μM in 2 days and effectively eliminates the parasite in 2–4 days at 10–100 μM. Clodinafop is not toxic to the host cell even at much higher concentrations. Parasite growth inhibition by different herbicides is correlated with their ability to inhibit ACC enzyme activity, suggesting that ACC is a target for these agents. Fragments of genes encoding the biotin carboxylase domain of multidomain ACCs of T. gondii, Plasmodium falciparum, Plasmodium knowlesi, and Cryptosporidium parvum were sequenced. One T. gondii ACC (ACC1) amino acid sequence clusters with P. falciparum ACC, P. knowlesi ACC, and the putative Cyclotella cryptica chloroplast ACC. Another sequence (ACC2) clusters with that of C. parvum ACC, probably the cytosolic form.