Publications by authors named "J M Shannon"

Background: Members of many racial and ethnic population subgroups are underrepresented in clinical trials and research. We present perspectives on barriers and facilitators to study participation gathered from Hispanic participants in a population-based genetic screening study.

Methods: Seven focus groups (five in English and two in Spanish) were conducted with self-identified Hispanic participants of the Healthy Oregon Project (HOP), a large population-based cohort of adults residing in Oregon.

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Reducing methane (CH) emissions from agriculture, among other sectors, is a key step to reducing global warming. There are many strategies to reduce CH emissions in ruminant animals, including genetic selection, which yields cumulative and permanent genetic gains over generations. A single-step genomic evaluation for methane efficiency (MEF) was officially implemented in April 2023 for the Canadian Holstein breed, aiming to reduce CH emissions without affecting production levels.

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Aberrant activation of NLRP3 due to persistent tissue damage, misfolded proteins or crystal deposits has been linked to multiple chronic inflammatory disorders such as cryopyrin-associated periodic syndrome (CAPS), neurodegenerative diseases, gouty arthritis, and numerous others. Hence, there has been an increasing interest in NLRP3 inhibitors as therapeutics. A first generation of NLRP3 inhibitors bearing a sulfonylurea core such as MCC950 (developed by Pfizer) were discovered by phenotypic screening, however their mode of action was only elucidated later.

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Article Synopsis
  • The yellow fever virus 17D (YFV-17D) vaccine is highly effective at generating antiviral immunity, but the mechanisms behind its immune response remain unclear.
  • Researchers discovered that YFV-17D infection triggers mitochondrial activity and metabolic changes that enhance the production of type I interferon (IFN), a key part of the immune response.
  • The study found that reactive oxygen species (mROS) and peroxynitrite produced by mitochondrial hyperactivity play a crucial role in activating innate immunity, making the vaccine more effective against infection.
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Background: The growing demand for genomic testing and limited access to experts necessitate innovative service models. While chatbots have shown promise in supporting genomic services like pre-test counseling, their use in returning positive genetic results, especially using the more recent large language models (LLMs) remains unexplored.

Objective: This study reports the prompt engineering process and intrinsic evaluation of the LLM component of a chatbot designed to support returning positive population-wide genomic screening results.

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