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Biology subjects

Urey, D. Y.

Publications and source records attributed to Urey, D. Y..

4 recordsLinked to original sources

Striatal acetylcholine enables latent-state creation during reversal learning

Like dopamine, acetylcholine is modulated in the striatum by reward-predicting cues and outcomes, yet its computational role remains unclear. Here, we manipulated dorsomedial striatal acetylcholine in mice performing a reversal learning task using genetic and physiologically guided optogenetic approaches. Inhibiting phasic acetylcholine modulation impaired reversal learning, while enhancing modulation during non-rewarded trials facilitated reversal learning. Trial-by-trial acetylcholine dynamics were best explained by a reinforcement learning model in which new latent states are created when experience is poorly explained by existing states. A circuit-constrained model further suggested that acetylcholine promotes plasticity when reward-omission is ambiguous, leading to a surprising prediction: making reward omission explicit should reduce the need for acetylcholine. We confirmed this in a new experiment in which an auditory omission cue substantially reduced the reversal-learning deficit caused by genetic acetylcholine knockdown. These findings suggest that striatal acetylcholine supports reversal learning by promoting state construction in reinforcement learning.

neuroscience↗

Synapse protein signatures in cerebrospinal fluid and plasma predict cognitive maintenance versus decline in Alzheimers disease

Rates of cognitive decline in Alzheimers disease (AD) are extremely heterogeneous, with ages of symptom onset ranging from age 40-100 years and conversion from mild cognitive impairment to AD dementia taking 2-20 years. Development of biomarkers for amyloid-beta (A{beta}) and tau protein aggregates, the hallmark pathologies of AD, have improved patient monitoring/stratification and drug development, but they still only explain 20-40% of the variance in cognitive impairment (CI) in AD. To discover additional molecular drivers and biomarkers of AD dementia, we perform cerebrospinal fluid (CSF) proteomics on 3,416 individuals from six deeply phenotyped prospective AD case-control cohorts. We identify synapse proteins as the strongest correlates of CI, independent of A{beta} and tau. Using machine learning we derive the CSF YWHAG:NPTX2 synapse protein ratio, a robust correlate of CI, which explains 27% of the variance in CI beyond CSF PTau181:A{beta}42, 10% beyond tau PET, and 50% beyond CSF NfL in A{beta} positive individuals. We find YWHAG:NPTX2 also increases with normal aging as early as age 20 and increases at a faster rate in APOE4 carriers and autosomal dominant-AD mutation carriers. Most notably, YWHAG:NPTX2+ individuals (top 25th percentile) are 15-times (HR=15.4 [10.6-22.2]) more likely to experience cognitive decline over 15 years compared to YWHAG:NPTX2- individuals (bottom 25th percentile), and this rises to 19-times (HR=18.9 [10.83-32.9]) with additional stratification by A{beta} and phosphorylated tau status. Lastly, we perform plasma proteomics on 4,245 individuals to develop a plasma-based signature of CI which partly recapitulates CSF YWHAG:NPTX2. Overall, our findings underscore CSF YWHAG:NPTX2 and the corresponding plasma signature as robust prognostic biomarkers for AD onset and progression beyond gold-standard biomarkers of A{beta}, tau, and neurodegeneration and implicate synapse dysfunction as a core driver of AD dementia.

neuroscience↗

Plasma proteomics in the UK Biobank reveals youthful brains and immune systems promote healthspan and longevity

Organ-derived plasma protein signatures derived from aptamer protein arrays track organ-specific aging, disease, and mortality in humans, but the robustness and clinical utility of these models and their biological underpinnings remain unknown. Here, we estimate biological age of 11 organs from 44,526 individuals in the UK Biobank using an antibody-based proteomics platform to model disease and mortality risk. Organ age estimates are associated with future onset of heart failure (heart age HR=1.83), chronic obstructive pulmonary disease (lung age HR=1.39), type II diabetes (kidney age HR=1.58), and Alzheimers disease (brain age HR=1.81) and sensitive to lifestyle factors such as smoking and exercise, hormone replacement therapy, or supplements. Remarkably, the accrual of aged organs progressively increases mortality risk while a youthful brain and immune system are uniquely associated with disease-free longevity. These findings support the use of plasma proteins for monitoring organ health and the efficacy of drugs targeting organ aging disease.

molecular biology↗

Levitational Cell Cytometry for Forensics

Here, a method for label-free, real-time interrogation, monitoring, detection and sorting of biological rare cells in magnetically-suspended heterogeneous samples is developed. To achieve this, heterogeneous populations of cells were levitated and confined in a microcapillary channel. This strategy enables spatiotemporal differential magnetic levitation of rare fragile dead cells equilibrating at different heights based on the balance between magnetic and corrected gravitational forces. In addition, sorting of fragile rare dead cell populations is monitored in real-time. This technique provides a broadly applicable label-free tool for high resolution, real-time research, as well as forensic evidence processing of rape kits. This method is validated with forensic mock samples dating back to 2003, isolating sperm from epithelial fraction with >90% efficiency and >97% purity. Overall, this method reduces the processing time by over 20-fold down to 20 minutes, eliminating centrifugation and labels, and providing an inexpensive and a high-yield alternative to the current centrifuge-based differential extraction techniques. It can potentially facilitate the forensic downstream genomic analyses, accelerating the identification of suspects, and advancing public safety.

bioengineering↗