Metacyclic trypomastigotes of Trypanosoma cruzi have been obtained in chemically defined axenic culture. The differentiating medium, composed of artificial triatomine urine supplemented with proline, allows high yields of metacyclic trypomastigotes after 72-h incubation of T. cruzi cells at 27 degrees C. Morphological differentiation of the parasites is gradual under these chemically defined conditions and is preceded by the expression of stage-specific polypeptides. The yield of in vitro-induced metacyclic trypomastigotes depends upon the age of the epimastigote culture, the size of the inoculum and the depth of the medium. Metacyclic trypomastigotes differentiated in vitro from the Dm 28c clone of T. cruzi are both resistant to complement lysis and to macrophage digestion. They are able to infect mice with an efficiency similar to that obtained for natural metacyclic trypomastigotes obtained from triatomine excreta.
Amplification of DNA sequences from the kinetoplast minicircle DNA was employed as a method for the detection and classification of small numbers of Trypanosoma cruzi cells. Two overlapping fragments from the conserved 120 bp minirepeat regions of the minicircle DNA and one fragment covering the adjacent variable regions were amplified. The minimal amount of minicircle DNA required to detect a product by hybridization with an oligonucleotide probe was 0.015 fg, which represents approximately 10 molecules or 0.1% of the minicircle DNA component of a single cell. The amplification worked equally well with kDNA from several strains of T. cruzi and did not occur with kDNA from several other kinetoplastids. kDNA recovered from less than 10 trypanosomes in whole blood could be used as a template for amplification; the presence of a several billion fold excess of human DNA had no effect on the amplification process. Schizodeme analysis by hybridization with specific oligonucleotides or by direct restriction enzyme digestion could be performed on the amplified fragments representing the minicircle conserved region or variable regions. This method should prove useful as a rapid, specific and sensitive assay for Chagas' disease in chronic patients as well as for epidemiological studies of infected animals and insects.
BackgroundNew approaches and tools were needed to support the strategic planning, implementation and management of a Program launched by the Brazilian Government to fund research, development and capacity building on neglected tropical diseases with strong focus on the North, Northeast and Center-West regions of the country where these diseases are prevalent.Methodology/Principal FindingsBased on demographic, epidemiological and burden of disease data, seven diseases were selected by the Ministry of Health as targets of the initiative. Publications on these diseases by Brazilian researchers were retrieved from international databases, analyzed and processed with text-mining tools in order to standardize author- and institution's names and addresses. Co-authorship networks based on these publications were assembled, visualized and analyzed with social network analysis software packages. Network visualization and analysis generated new information, allowing better design and strategic planning of the Program, enabling decision makers to characterize network components by area of work, identify institutions as well as authors playing major roles as central hubs or located at critical network cut-points and readily detect authors or institutions participating in large international scientific collaborating networks.Conclusions/SignificanceTraditional criteria used to monitor and evaluate research proposals or R&D Programs, such as researchers' productivity and impact factor of scientific publications, are of limited value when addressing research areas of low productivity or involving institutions from endemic regions where human resources are limited. Network analysis was found to generate new and valuable information relevant to the strategic planning, implementation and monitoring of the Program. It afforded a more proactive role of the funding agencies in relation to public health and equity goals, to scientific capacity building objectives and a more consistent engagement of institutions and authors from endemic regions based on innovative criteria and parameters anchored on objective scientific data.
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