Publications by authors named "A Jeffrey Whitehead"

Characterising patterns of genetic diversity including evidence of local adaptation is relevant for predicting and managing species recovering from overexploitation in the face of climate change. Red abalone (Haliotis rufescens) is a species of conservation concern due to recent declines from overharvesting, disease and climate change, resulting in the closure of commercial and recreational fisheries. Using whole-genome resequencing data from 23 populations spanning their entire range (southern Oregon, USA, to Baja California, MEX) we investigated patterns of population connectivity and genotype-environment associations that would reveal local adaptation across the mosaic of coastal environments that define the California Current System (CCS).

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Fungal disease poses a growing threat to public health that our current antifungal therapies are not well equipped to meet. As the population of immunocompromised hosts expands, and ecological changes favor the emergence of fungal pathogens, the development of new antifungal agents, including vaccines, becomes a global priority. Here, we summarize recent advancements in the understanding of fungal pathogenesis, key features of the host antifungal immune response, and how these findings could be leveraged to design novel approaches to deadly fungal disease.

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Article Synopsis
  • The study investigates the role of heparan sulfate 6-O-endosulfatases (Sulf1 and Sulf2) in bone marrow hematopoiesis by using a new mouse model with specific deletion of these enzymes in myeloid cells.
  • Male LysM-Sulf knockout mice showed an age-related increase in hematopoietic stem cells and granulocyte-monocyte lineages, but a decrease in lymphoid progenitors and B cells, while red blood cell and platelet production was impaired at later stages.
  • The findings highlight age- and sex-dependent differences in hematopoiesis and 6-O-sulfation levels, suggesting that Sulfs play a crucial role in regulating blood cell development in mice.
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Introduction: We propose a novel approach for the non-invasive quantification of dynamic PET imaging data, focusing on the arterial input function (AIF) without the need for invasive arterial cannulation.

Methods: Our method utilizes a combination of three-dimensional depth-wise separable convolutional layers and a physically informed deep neural network to incorporatea priori knowledge about the AIF's functional form and shape, enabling precise predictions of the concentrations of [C]PBR28 in whole blood and the free tracer in metabolite-corrected plasma.

Results: We found a robust linear correlation between our model's predicted AIF curves and those obtained through traditional, invasive measurements.

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Candida spp. are the fourth leading cause of bloodstream infections in hospitalized patients and the most common cause of invasive fungal infection. No vaccine against Candida spp.

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