Protective efficacy of different strategies employing Mycobacterium leprae heat-shock protein 65 against tuberculosis

Background: Tuberculosis is a major threat to human health. The high disease burden remains unaffected and the appearance of extremely drug-resistant strains in different parts of the world argues in favor of the urgent need for a new effective vaccine. One of the promising candidates is heat-shock protein 65 when used as a genetic vaccine (DNAhsp65). Nonetheless, there are substantial data indicating that BCG, the only available anti-TB vaccine for clinical use, provides other important beneficial effects in immunized infants. Methods: We compared the protective efficacy of BCG and Hsp65 antigens in mice using different strategies: i) BCG, single dose subcutaneously; ii) naked DNAhsp65, four doses, intramuscularly; iii) liposomes containing DNAhsp65, single dose, intranasally; iv) microspheres containing DNAhsp65 or rHsp65, single dose, intramuscularly; and v) prime-boost with subcutaneous BCG and intramuscular DNAhsp65. Results: All the immunization protocols were able to protect mice against infection, with special benefits provided by DNAhsp65 in liposomes and prime-boost strategies. Conclusion: Among the immunization protocols tested, liposomes containing DNAhsp65 represent the most promising strategy for the development of a new anti-TB vaccine.

Supporting content-based image retrieval and computer-aided diagnosis systems with association rule-based techniques

In this work, we take advantage of association rule mining to support two types of medical systems: the Content-based Image Retrieval (CBIR) systems and the Computer-Aided Diagnosis (CAD) systems. For content-based retrieval, association rules are employed to reduce the dimensionality of the feature vectors that represent the images and to improve the precision of the similarity queries. We refer to the association rule-based method to improve CBIR systems proposed here as Feature selection through Association Rules (FAR). To improve CAD systems, we propose the Image Diagnosis Enhancement through Association rules (IDEA) method. Association rules are employed to suggest a second opinion to the radiologist or a preliminary diagnosis of a new image. A second opinion automatically obtained can either accelerate the process of diagnosing or to strengthen a hypothesis, increasing the probability of a prescribed treatment be successful. Two new algorithms are proposed to support the IDEA method: to pre-process low-level features and to propose a preliminary diagnosis based on association rules. We performed several experiments to validate the proposed methods. The results indicate that association rules can be successfully applied to improve CBIR and CAD systems, empowering the arsenal of techniques to support medical image analysis in medical systems. (C) 2009 Elsevier B.V. All rights reserved.

Iron Fortification Strategies for the Control of Childhood Anemia in Brazil

This article presents data on the fortification of foods, necessary as an important public health approach for the success in reducing anemia. The use of food vehicles, iron salts and their costs, as well as recent work on iron fortification of foods in Brazil are reviewed. Recent research serves as a cornerstone for countries that attempt to implement permanent, long-lasting iron fortification programs aimed at the prevention of anemia considering cultural habits, type of iron salts and at-risk groups.