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Mayor, A.

Publications and source records attributed to Mayor, A..

7 recordsLinked to original sources

Severe malarial anaemia is associated with parasite enrichment and host alterations in the bone marrow

BackgroundMalaria poses a significant global health challenge, with over 200 million infections and around 500,000 deaths annually, predominantly affecting children under 5 in sub-Saharan Africa. Severe malarial anaemia (SMA), a major contributor to morbidity and mortality in this demographic, results from various factors including red blood cell destruction and immune-mediated clearance. The role of these mechanisms in SMA differs based on age and infection history. Recent studies indicate increased accumulation of P. falciparum in the bone marrow and spleen, highlighting the need for understanding localized host-parasite interactions. MethodsThis study examines the bone marrow response to malarial infection in young children with SMA or mild malarial malaria in Mozambique, contrasting it with responses observed in peripheral blood in the two cohorts. Results and conclusionsThe study demonstrated that SMA is associated with increased red blood cell production, iron metabolism and tissue injury, as well as higher total parasite biomass including peripheral and bone marrow parasitaemia. We also demonstrate that direct analysis of bone marrow aspirates provides far more resolution in stratifying host signatures and drivers of malarial anaemia across a spectrum of severity than systemic measures from blood samples.

microbiology↗

Particle Swarm Optimization with Random Forest Surrogates Modelling for Rational Design of Antimicrobial Fluoride Toothpaste Formulations against Clinically Significant Oral Pathogens

To make effective antimicrobial toothpastes, you need to optimize many parts that work together. Creating new formulations the old-fashioned way takes a lot of time and money. This research formulates and substantiates a methodological framework that combines systematic antimicrobial susceptibility testing with Particle Swarm Optimization (PSO) to enhance toothpaste formulations against clinically significant oral pathogens. Using a D-optimal mixture design, we made 24 different toothpaste formulations by changing the type of fluoride (NaF, MFP, SnF2), the concentration of fluoride (1000-1500 ppm), the concentration of SLS (0.5-2.5%), the type of abrasive (silica, calcium carbonate, dicalcium phosphate), and the concentration of abrasive (10-30%). We used agar well diffusion and minimum inhibitory concentration (MIC) tests to see how well the drugs worked against Streptococcus mutans ATCC 25175, Porphyromonas gingivalis ATCC 33277, and Lactobacillus acidophilus ATCC 4356. A Random Forest surrogate model was trained on 120 experimental data points (24 formulations x 5 concentrations) and validated through 10-fold cross-validation. Multi-objective PSO was used to improve the effectiveness of antimicrobials, the availability of fluoride, and the cost of the formulation. Chosen PSO-predicted formulations underwent experimental validation. The antimicrobial activity changed a lot (p < 0.001) depending on the formulation parameters. The optimized formulation (sodium fluoride 1120 ppm, SLS 2.3%, hydrated silica 18%, pH 7.2) showed 28.4 {+/-} 1.2 mm of inhibition against S. mutans, 26.8 {+/-} 1.4 mm against P. gingivalis, and 24.2 {+/-} 1.1 mm against L. acidophilus. These were improvements of 18.5%, 22.3%, and 19.8%, respectively, over the best commercial comparator. Experimental validation corroborated PSO predictions with a mean absolute error of 5.2%. Multi-objective Optimization found Pareto-optimal formulations that let you choose based on trade-offs between effectiveness, safety, and cost. Combining systematic experimental design with PSO gives a tested framework for making rational toothpaste formulations. This method significantly lowers the amount of work needed for experiments while also allowing for the Optimization of multiple competing formulation goals.

microbiology↗

Sensitive and modular amplicon sequencing of Plasmodium falciparum diversity and resistance for research and public health

BackgroundTargeted amplicon sequencing is a powerful and efficient tool for interrogating the Plasmodium falciparum genome, generating actionable data from infections to complement traditional malaria epidemiology. For maximum impact, genomic tools should be multi-purpose, robust, sensitive, and reproducible. MethodsWe developed, characterized, and implemented MAD4HatTeR, an amplicon sequencing panel based on Multiplex Amplicons for Drug, Diagnostic, Diversity, and Differentiation Haplotypes using Targeted Resequencing, along with a bioinformatic pipeline for data analysis. Additionally, we introduce an analytical approach to detect gene duplications and deletions from amplicon sequencing data. Laboratory control and field samples were used to demonstrate the panels high sensitivity and robustness. ResultsMAD4HatTeR targets 165 highly diverse loci, focusing on multiallelic microhaplotypes, key markers for drug and diagnostic resistance (including duplications and deletions), and csp and potential vaccine targets. The panel can also detect non-falciparum Plasmodium species. MAD4HatTeR successfully generated data from low-parasite-density dried blood spot and mosquito midgut samples, and detected minor alleles at within-sample allele frequencies as low as 1% with high specificity in high-parasite-density dried blood spot samples. Gene deletions and duplications were reliably detected in mono- and polyclonal controls. Data generated by MAD4HatTeR were highly reproducible across multiple laboratories. ConclusionsThe successful implementation of MAD4HatTeR in five laboratories, including three in malaria-endemic African countries, showcases its feasibility and reproducibility in diverse settings. MAD4HatTeR is thus a powerful tool for research and a robust resource for malaria public health surveillance and control.

genomics↗

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↗

Reduced placental transfer of antibodies against microbial and vaccine antigens in HIV-infected women in Mozambique

Antibody transplacental transfer is essential for conferring protection in newborns against infectious diseases. This transfer may be affected by gestational age and maternal infections, although the effects are not consistent across studies. We measured total IgG and IgG subclasses by quantitative suspension array technology against fourteen pathogens and vaccine antigens, including target of maternal immunization, in 341 delivering HIV- and HIV+ mother-infant pairs from southern Mozambique. Maternal antibody levels were the main determinant of cord antibody levels. HIV broadly reduced the placental transfer and cord levels of IgG and IgG1, but also IgG2 to half of the antigens. Plasmodium falciparum exposure and prematurity were negatively associated with cord antibody levels and placental transfer but this was antigen-subclass dependent. These findings suggest maternal infections may impact the efficacy of maternal immunization and confirm the lower transfer of antibodies as one of the causes underlying increased susceptibility to infections in HIV-exposed infants.

immunology↗

Highly sensitive and specific multiplex antibody assays to quantify immunoglobulins M, A and G against SARS-CoV-2 antigens

Reliable serological tests are required to determine the prevalence of antibodies against SARS-CoV-2 antigens and to characterise immunity to the disease in order to address key knowledge gaps in the context of the COVID-19 pandemic. Quantitative suspension array technology (qSAT) assays based on the xMAP Luminex platform overcome the limitations of rapid diagnostic tests and ELISA with their higher precision, dynamic range, throughput, miniaturization, cost-efficacy and multiplexing capacity. We developed three qSAT assays to detect IgM, IgA and IgG to a panel of eight SARS-CoV-2 antigens including spike (S), nucleoprotein (N) and membrane (M) protein constructs. The assays were optimized to minimize processing time and maximize signal to noise ratio. We evaluated the performance of the assays using 128 plasmas obtained before the COVID-19 pandemic (negative controls) and 115 plasmas from individuals with SARS-CoV-2 diagnosis (positive controls), of whom 8 were asymptomatic, 58 had mild symptoms and 49 were hospitalized. Pre-existing IgG antibodies recognizing N, M and S2 proteins were detected in negative controls suggestive of cross-reactive to common cold coronaviruses. The best performing antibody isotype/antigen signatures had specificities of 100% and sensitivities of 94.94% at [&ge;]14 days since the onset of symptoms and 96.08% at [&ge;]21 days since the onset of symptoms, with AUC of 0.992 and 0.999, respectively. Combining multiple antibody markers as assessed by qSAT assays has the highest efficiency, breadth and versatility to accurately detect low-level antibody responses for obtaining reliable data on prevalence of exposure to novel pathogens in a population. Our assays will allow gaining insights into antibody correlates of immunity required for vaccine development to combat pandemics like the COVID-19.

immunology↗

Quantification of malaria antigens PfHRP2 and pLDH by quantitative suspension array technology in whole blood, dried blood spot and plasma

BackgroundMalaria diagnostics by rapid diagnostic tests (RDTs) relies primarily on the qualitative detection of Plasmodium falciparum histidine-rich protein 2 (PfHRP2) and Plasmodium sp lactate dehydrogenase (pLDH). As novel RDTs with increased sensitivity are being developed and implemented as point of care diagnostics, highly sensitive laboratory based assays are needed for evaluating RDTs performance. Here, a quantitative suspension array technology (qSAT) was developed, validated and applied for the simultaneous detection of PfHRP2 and pLDH in a variety of clinical samples (whole blood, plasma and dried blood spots) from different endemic countries.\n\nResultsThe qSAT was specific for the target antigens, with analytical ranges of 6.8 to 762.8 pg/ml for PfHRP2 and 78.1 to 17076.6 pg/ml for P. falciparum (Pf-LDH). The assay detected P. vivax LDH (Pv-LDH) at a lower sensitivity than Pf-LDH (analytical range of 1093.20 to 187288.5 pg/ml). Both PfHRP2 and pLDH levels determined using the qSAT showed to positively correlate with parasite densities determined by quantitative PCR (Spearman r=0.59 and 0.75, respectively) as well as microscopy (Spearman r=0.40 and 0.75, respectively), suggesting the assay to be a good predictor of parasite density.\n\nConclusionThis immunoassay can be used as a reference test for the detection and quantification of PfHRP2 and pLDH, and could serve for external validation of RDTs performance, to determine antigen persistence after parasite clearance, as well as a complementary tool to assess malaria burden in endemic settings.

microbiology↗