Publications by authors named "C T Bever"

Article Synopsis
  • Amatoxins, which are cyclic peptides, are responsible for a significant number of fatalities each year, making their analysis crucial for public health.
  • The study introduces a novel analytical method using affinity column chromatography with a specific monoclonal antibody and high-resolution mass spectrometry to detect low levels of amatoxins in human urine samples, achieving a sensitivity of 1 ng/mL.
  • The new procedure has been validated for specific amatoxins and can determine acute intoxications within 90 minutes, suggesting that similar techniques could be applied to analyze other toxic peptides effectively.
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Hydrothermal carbonization (HTC) is a process that produces a carbon-rich solid from wet organic materials through the application of heat and pressure. Carbonized solids, previously correlated to long-term soil stability, may be considered for carbon sequestration through incorporation into soil. Chars produced by pyrolysis are known for exceptional stability in soil, but pyrolysis is expensive when applied to wet biomass, such as manure.

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Article Synopsis
  • Genetic surveillance of Plasmodium falciparum can help National Malaria Control Programmes estimate parasite transmission using metrics like multi-strain infections and infection complexity, despite uncertainties about their ability to directly predict clinical incidence.
  • In a study involving 3,147 clinical infections across Senegal from 2012-2020, researchers used genetic analysis to correlate genetic metrics with malaria incidence at different clinic sites.
  • Results indicated that genetic metrics reliably predicted incidence when transmission was high (over 10 cases per 1,000 annually), but showed reversed correlations at lower transmission levels, suggesting a limit to the use of genetics in estimating incidence during low transmission periods.
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Genetic surveillance of the parasite shows great promise for helping National Malaria Control Programs (NMCPs) assess parasite transmission. Genetic metrics such as the frequency of polygenomic (multiple strain) infections, genetic clones, and the complexity of infection (COI, number of strains per infection) are correlated with transmission intensity. However, despite these correlations, it is unclear whether genetic metrics alone are sufficient to estimate clinical incidence.

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We here analyze data from the first year of an ongoing nationwide program of genetic surveillance of Plasmodium falciparum parasites in Senegal. The analysis is based on 1097 samples collected at health facilities during passive malaria case detection in 2019; it provides a baseline for analyzing parasite genetic metrics as they vary over time and geographic space. The study's goal was to identify genetic metrics that were informative about transmission intensity and other aspects of transmission dynamics, focusing on measures of genetic relatedness between parasites.

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