Basic Science and Pathogenesis.

Background: Alzheimer's disease (AD) exhibits considerable phenotypic heterogeneity, suggesting the potential existence of subtypes. AD is under substantial genetic influence, thus identifying systematic variation in genetic risk may provide insights into disease origins. We previously identified a genetic heterogeneity across two levels.

Basic Science and Pathogenesis.

Background: Alzheimer's Disease (AD) is characterized by cognitive decline due to synaptic loss and neuron death, with amyloid-β plaques and neurofibrillary tau tangles as key pathological hallmarks. Although genetics account for about 70% of AD risk, modifiable factors also significantly contribute to AD and dementia onset and AD-resilience. Utilizing the All of Us (AoU) cohort, this study explores the relationship between clinical conditions, quantitative phenotypes (including lab tests and anthropometric measurements), and AD risk, shedding light on potential preventative measures.

Artificial intelligence in food and nutrition evidence: The challenges and opportunities.

Science-informed decisions are best guided by the objective synthesis of the totality of evidence around a particular question and assessing its trustworthiness through systematic processes. However, there are major barriers and challenges that limit science-informed food and nutrition policy, practice, and guidance. First, insufficient evidence, primarily due to acquisition cost of generating high-quality data, and the complexity of the diet-disease relationship.

Borrelia PeptideAtlas: A proteome resource of common Borrelia burgdorferi isolates for Lyme research.

Lyme disease is caused by an infection with the spirochete Borrelia burgdorferi, and is the most common vector-borne disease in North America. B. burgdorferi isolates harbor extensive genomic and proteomic variability and further comparison of isolates is key to understanding the infectivity of the spirochetes and biological impacts of identified sequence variants.