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Alonso, P.

Publications and source records attributed to Alonso, P..

2 recordsLinked to original sources

Expression patterns of Plasmodium falciparum clonally variant genes at the onset of a blood infection in non-immune humans

Clonally variant genes (CVGs) play fundamental roles in the adaptation of Plasmodium falciparum parasites to the fluctuating conditions of the human host. However, their expression patterns under the natural conditions of the blood circulation have been characterized in detail only for a few specific gene families. Here we provide a detailed characterization of the complete P. falciparum transcriptome across the full intraerythrocytic development cycle (IDC) at the onset of a blood infection in non-immune human volunteers. We found that the vast majority of transcriptional differences between parasites obtained from the volunteers and the parental parasite line maintained in culture occur in CVGs. Specifically, we observed a major increase in the transcript levels of most members of the pfmc-2tm and gbp families and of specific genes of other families, in addition to previously reported changes in var and clag3 genes expression. Large transcriptional differences correlate with changes in the distribution of heterochromatin, confirming their epigenetic nature. The analysis of parasites collected at different time points along the infection indicates that when parasites pass through transmission stages, the epigenetic memory at CVG loci is lost, resulting in a reset of their expression state and reestablishment of new epigenetic patterns. ImportanceThe ability of malaria parasites to adapt to changes in the human blood environment, where they produce long term infection associated with clinical symptoms, is fundamental for their survival. Clonally variant genes, regulated at the epigenetic level, play a major role in this adaptive process, as changes in the expression of these genes result in antigenic and functional alterations that enable immune evasion and provide phenotypic plasticity. However, the way these genes are expressed under the natural conditions of the human circulation or how their expression is affected by passage through transmission stages is not well understood. Here we provide a comprehensive characterization of the expression patterns of these genes at the onset of human blood infections, which reveals major differences with in vitro cultured parasites and also distinctive alterations between different families of clonally variant genes. We also show that epigenetic patterns are erased and reestablished during transmission stages.

microbiology

Biomarkers to distinguish bacterial from viral pediatric clinical pneumonia in a malaria endemic setting

BACKGROUNDDifferentiating the etiology of acute febrile respiratory illness in children is a challenge in low-income, malaria-endemic settings because the main pathogens responsible (viruses, bacteria, and malaria parasites) overlap in clinical presentation and frequently occur together as mixed infections. The critical task is to rapidly identify bacterial pneumonia to enable appropriate antibiotic treatment, ideally at point of care. Current diagnostic tests are insufficient and there is a need for the discovery and development of new tools. Here we report the identification of a unique biomarker signature that can be identified in blood samples. METHODSBlood samples from 195 pediatric Mozambican patients with clinical pneumonia were analyzed with an aptamer-based high dynamic range assay to quantify [~]1200 proteins. For discovery of new biomarkers, we identified a training set of patient samples in which the underlying etiology of the pneumonia was established as bacterial, viral or malaria. Proteins whose abundances varied significantly between patients with verified etiologies (FDR<0.01) formed the basis for predictive diagnostic models that were created using machine learning techniques (Random Forest, Elastic Net). These models were validated on a dedicated test set of samples. RESULTS219 proteins had significantly different abundances between bacterial and viral infections, and 151 differed between bacterial infections and a mixed pool of viral and malaria infections. Predictive diagnostic models achieved >90% sensitivity and >80% specificity, regardless of whether one or two pathogen classes were present. Bacterial pneumonia was strongly associated with markers of neutrophil activity, in particular neutrophil degranulation. Degranulation markers included HP, LCN2, LTF, MPO, MMP8, PGLYRP1, RETN, SERPINA1, S100A9, and SLPI. CONCLUSIONBlood protein signatures highly associated with neutrophil biology reliably differentiated bacterial pneumonia from other causes. With appropriate technology, these markers could provide the basis for a rapid diagnostic for field-based triage for antibiotic treatment of pediatric pneumonia.

genomics