Background: Physical activity and fitness are major targets in Alzheimer's disease (AD) preventive research. However, current research is heterogeneous and often disregards the relationship between these parameters and disease outcomes.
Objective: To assess the effects of physical activity and fitness on AD within the context of a multicomponent sports intervention.
Due to complex interactions, changes in any one area of food systems are likely to impact-and possibly depend on-changes in other areas. Here we present the first annual monitoring update of the indicator framework proposed by the Food Systems Countdown Initiative, with new qualitative analysis elucidating interactions across indicators. Since 2000, we find that 20 of 42 indicators with time series have been trending in a desirable direction, indicating modest positive change.
View Article and Find Full Text PDFAnnu Rev Food Sci Technol
January 2025
Foodborne illnesses are a significant global public health challenge, with an estimated 600 million cases annually. Conventional food microbiology methods tend to be laborious and time consuming, pose difficulties in real-time utilization, and can display subpar accuracy or typing capabilities. With the recent advancements in third-generation sequencing and microbial omics, nanopore sequencing technology and its long-read sequencing capabilities have emerged as a promising platform.
View Article and Find Full Text PDFBackground: In 2020, Maryland had the fourth-highest opioid overdose mortality rate in the USA. We describe substances identified in postmortem toxicology screening and designated as cause of death (COD) for overdose decedents in Maryland, including specific combinations of substances designated as COD.
Methods: We performed a retrospective analysis of N=5442 adult overdose decedents (ie, manner of death unintentional or undetermined) in Maryland between January 2020 and December 2021.
Mathematical modeling plays an important role in our understanding and targeting therapy resistance mechanisms in cancer. The polymorphic Gompertzian model, analyzed theoretically and numerically by Viossat and Noble to demonstrate the benefits of adaptive therapy in metastatic cancer, describes a heterogeneous cancer population consisting of therapy-sensitive and therapy-resistant cells. In this study, we demonstrate that the polymorphic Gompertzian model successfully captures trends in both in vitro and in vivo data on non-small cell lung cancer (NSCLC) dynamics under treatment.
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