Publications by authors named "J B Legutki"
Article Synopsis
- Lyme disease is a growing public health concern in the US, with gaps in understanding how the immune system responds to its causative pathogen, leading to inadequate diagnostic tests.
- The study introduced a method to analyze antibody responses in individuals by using planar arrays of random short peptides for deeper insights into Lyme disease and comparisons with similar conditions and healthy individuals.
- Results showed significant variability in antibody profiles among Lyme disease patients, highlighting similarities between them and healthy individuals in endemic areas, which raises questions about existing diagnostic tests.
Background: The immune system undergoes a myriad of changes with age. While it is known that antibody-secreting plasma and long-lived memory B cells change with age, it remains unclear how the binding profile of the circulating antibody repertoire is impacted.
Results: To understand humoral immunity changes with respect to age, we characterized serum antibody binding to high density peptide microarrays in a diverse cohort of 1675 donors.
In combinatorial chemical approaches, optimizing the composition and arrangement of building blocks toward a particular function has been done using a number of methods, including high throughput molecular screening, molecular evolution, and computational prescreening. Here, a different approach is considered that uses sparse measurements of library molecules as the input to a machine learning algorithm which generates a comprehensive, quantitative relationship between covalent molecular structure and function that can then be used to predict the function of any molecule in the possible combinatorial space. To test the feasibility of the approach, a defined combinatorial chemical space consisting of ∼10 possible linear combinations of 16 different amino acids was used.
View Article and Find Full Text PDFRecent infectious outbreaks highlight the need for platform technologies that can be quickly deployed to develop therapeutics needed to contain the outbreak. We present a simple concept for rapid development of new antimicrobials. The goal was to produce in as little as one week thousands of doses of an intervention for a new pathogen.
View Article and Find Full Text PDFBackground: The complexity of the eukaryotic parasite Trypanosoma (T.) cruzi manifests in its highly dynamic genome, multi-host life cycle, progressive morphologies and immune-evasion mechanisms. Accurate determination of infection or Chagas' disease activity and prognosis continues to challenge researchers.
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