We report the identification of a 48kDa antigen targeted by antibodies which inhibit Plasmodium falciparum in vitro growth by cooperation with blood monocytes in an ADCI assay correlated to the naturally acquired protection. This protein is located on the surface of the merozoite stage of P. falciparum, and is detectable in all isolates tested. Epidemiological studies demonstrated that peptides derived from the amino acid sequence of MSP-3 contain potent B and T-cell epitopes recognized by a majority of individuals living in endemic areas. Moreover human antibodies either purified on the recombinant protein, or on the synthetic peptide MSP-3b, as well as antibodies raised in mice, were all found to promote parasite killing mediated by monocytes.
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http://dx.doi.org/10.1590/s0074-02761994000600018 | DOI Listing |
BMC Chem
January 2025
Department of Pharmacy, Birla Institute of Technology and Science Pilani, Pilani Campus, Vidya Vihar, Pilani, Rajasthan, 333 031, India.
A large set of antimalarial molecules (N ~ 15k) was employed from ChEMBL to build a robust random forest (RF) model for the prediction of antiplasmodial activity. Rather than depending on high throughput screening (HTS) data, molecules tested at multiple doses against blood stages of Plasmodium falciparum were used for model development. The open-access and code-free KNIME platform was used to develop a workflow to train the model on 80% of data (N ~ 12k).
View Article and Find Full Text PDFMalar J
January 2025
MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
Background: The availability of many tools for malaria control leads to complex decisions regarding the most cost-effective intervention package based on local epidemiology. Mosquito characteristics influence the impact of vector control, but entomological surveillance is often limited due to a lack of resources in national malaria programmes.
Methods: This study quantified the monetary value of information provided by entomological data collection for programmatic decision-making using a mathematical model of Plasmodium falciparum transmission.
Accurate malaria diagnosis with precise identification of Plasmodium species is crucial for an effective treatment. While microscopy is still the gold standard in malaria diagnosis, it relies heavily on trained personnel. Artificial intelligence (AI) advances, particularly convolutional neural networks (CNNs), have significantly improved diagnostic capabilities and accuracy by enabling the automated analysis of medical images.
View Article and Find Full Text PDFExp Parasitol
January 2025
Post-graduate Program in Studies in Natural Products and Synthetic Bioactive, Federal University of Paraíba, João Pessoa, PB, Brazil; Laboratory of Toxicological Tests, Federal University of Paraíba, João Pessoa, PB, Brazil; Post-graduate Program in Studies in Development and Technological Innovation in Medicines, Federal University of Paraíba, João Pessoa, PB, Brazil.
One of the main factors that have made it difficult to control malaria is the large number of parasites that are resistant to the usual antimalarial drugs. Therefore, the development of new drugs that are more effective and with low toxicity for humans is necessary. In this work, we evaluated the adduct 2-(3-hydroxy-1-methyl-2-oxoindolin-3-yl) acrylonitrile, also called CHISACN, as a potential antimalarial through in vitro studies, and evaluated its effects in silico and in vivo toxicology.
View Article and Find Full Text PDFBiosens Bioelectron
January 2025
Barcelona Institute for Global Health (ISGlobal), Barcelona, 08036, Spain; INTERFIBIO Research Group, Departament d'Enginyeria Química, Universitat Rovira i Virgili, Tarragona, 43007, Spain. Electronic address:
Malaria is one of the most deadly infectious diseases, causing the death of hundreds of thousands of patients each year. Global efforts to combat malaria necessitate the implementation of novel rapid diagnostic tests deployable at the point of care. Here, we present the development of an electrochemical aptamer-based (EAB) sensor for the quantification of the malaria biomarker Plasmodium falciparum lactate dehydrogenase (PfLDH).
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