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| http://dx.doi.org/10.46747/cfp.6908522 | DOI Listing |
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Population Dynamics and the Microbiome in a Wild Boreal Mammal: The Snowshoe Hare Cycle and Impacts of Diet, Season and Predation Risk.
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Department of Biological Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada.
The North American boreal forest is a massive ecosystem, and its keystone herbivore is the snowshoe hare (Lepus americanus). Hares are exposed to considerable environmental extremes in diet and weather, food availability, and predation risk. Gut microbiomes have been suggested to facilitate adaptive animal responses to environmental change, but severe environmental challenges to homeostasis can also disrupt host-microbiome relationships.
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Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.
Having a regular medical doctor is associated with better process of care and health outcomes. The goal of this study was to harness the richness in health administrative data to create a measure which accurately predicted whether patients self-identified as having a regular medical doctor. The Canadian Community Health Survey (2007-2012) was linked with health administrative data (HAD) (2002-2012) from Quebec, Canada's second largest province.
View Article and Find Full Text PDFNegative cell cycle regulation by calcineurin is necessary for proper beta cell regeneration in zebrafish.
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Zebrafish Development and Disease Models Laboratory, GIGA-Stem Cells, University of Liège, Liège, Belgium.
Article Synopsis
- Research indicates that stimulating pancreatic beta cell regeneration could help treat diabetes, utilizing zebrafish which can effectively regenerate these cells from ductal progenitors.
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The vast array of omics data in microbiology presents significant opportunities for studying bacterial pathogenesis and creating computational tools for predicting pathogenic potential. However, the field lacks a comprehensive, curated resource that catalogs bacterial strains and their ability to cause human infections. Current methods for identifying pathogenicity determinants often introduce biases and miss critical aspects of bacterial pathogenesis.
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