D.M. Li results 548
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Deviations from additivity in APOE4-mediated late-onset Alzheimer’s disease risk across races and ethnicitiesNARA Subscribed
APOE ’s ε4 haplotype ( APOE4 ) is late onset Alzheimer’s disease’s (LOAD) strongest genetic risk factor. Therefore, accurately modeling APOE4 ’s effect is critical to understanding LOAD. This is especially important as APOE4 odds ratios (OR) vary across racial and ethnic (R/E) groups. We analyzed the APOE4 -LOAD association in 3,196 East Asian, 31,105 non-Hispanic White (White), 1,646 Hispanic and Latino (Hispanic), and 6,068...
Polar Winter Processes: An Under-Represented Research Focus within the Coupled Earth SystemNARA Subscribed
Observing winter processes during the extended cold season is crucial not only for understanding polar and global coupled Earth system but also for enhancing capability of year-round prediction, especially in the context of Arctic amplification and the drastic decrease in sea ice extent and thickness at both poles. However, harsh environmental conditions and logistical challenges have left polar winter Earth system processes s...
Fentanyl decreases arterial blood oxygen saturation more than furanylfentanyl in mice due to increased apneaNARA Subscribed
Rationale Fatal opioid overdoses involving synthetic opioids have increased >10-fold over the past 8 years. Fentanyl, a potent synthetic opioid acting at the mu-opioid receptor (MOR), has largely replaced heroin as the predominant illicit opioid available. Various analogs have been synthesized from the fentanyl scaffold, including 2-furanylfentanyl, one of the most trafficked analogs from 2019 to 2024. Despite its prevalence,...
Precision measurement of the Ds*+-Ds+ meson mass differenceNARA Subscribed
The Asia region harbors exceptional chondrichthyan (shark, ray, and chimaera) diversity but faces intense fishing pressure. The Important Shark and Ray Areas (ISRA) process provides a collaborative, evidence-based framework to identify critical habitats and inform spatial management. We assessed ISRAs across the Bay of Bengal, Southeast Asia, and the Northwest Pacific to characterize their extent, ecological significance, and...
Soil fauna regulates litter decomposition and soil organic matter transformation, acting as both litter and microbial feeders. Whether these feeding modes shift along environmental gradients remains unclear. We tested if microbivory increases with decreasing litter quality and in colder climates, both factors limiting detritus digestion by fauna. Using stable isotope composition (δ 13 C, δ 15 N) of 7408 soil invertebrate sampl...
Population Genomics of a Cosmopolitan Weed Provides Insights Into Its Local Adaptation and Recent Demographic HistoryNARA Subscribed
Invasive plant species present a growing ecological and economic challenge, and often adapt rapidly to their novel environments through complex demographic and evolutionary processes. Invasion genomics offers powerful tools to disentangle these processes, but most studies rely on geographically narrow sampling across native and non‐native ranges. Erigeron canadensis is a cosmopolitan weed native to North America that has succe...
Climate Vulnerability Assessments in Marine Fisheries: Taking Stock and Looking AheadNARA Subscribed
Climate Vulnerability Assessments (CVAs) are important tools for understanding and addressing the impacts of climate change on marine fisheries. Since their introduction in the 1990s, CVAs have evolved from theoretical frameworks to practical applications aimed at fostering climate‐resilient fisheries management. This review synthesises recent advancements in CVAs, focusing on methodologies, geographic applications, stakeholde...
Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegenerationNARA Subscribed
Cortical thinning and atrophy are hallmarks of brain aging that have been characterized using magnetic resonance imaging (MRI). Brain aging involves many neuroanatomic features whose effects on brain structure remain unexplored. To address this challenge, we trained interpretable deep neural networks (DNNs) to estimate brain age (BA) from T 1 -weighted ( T 1 w) MRI. By identifying MRI features unapparent to humans, DNNs can fi...