As reflected in recent budget increases in the National Institutes of Health, and in line with the National Alzheimer?s Project Act, there is a need to enhance and leverage resources to decrease dementia disparities and change the trajectory of Alzheimer?s disease and related dementias. To fill this gap, we seek to enhance the University of California Davis Alzheimer?s Disease Center (UCD ADC), which contains a diverse ethnoracial cohort (having Hispanic, Black, and non-Hispanic White decedents), through implementation of digital pathology within our Neuropathology Core. This implementation will allow for rapid transmission of pathological data for consultation and collaborations, distribution of materials for educational purposes, tissue specimen archiving, and image analysis. In addition, by having a digital pathology with immunofluorescent capabilities will allow for viewing of the distribution (including overlap) of multiple proteins at one time within a tissue specimen. This can enhance biological studies by providing spatial relationships of proteins resulting in a deeper phenotype of disease. This supplement application is designed to support equipment and leverage and enhance infrastructure to allow the UCD ADC the ability to 1) purchase a whole slide image system to digitize existing and future histologically stained samples 2) leverage and enhance current servers and database systems to allow for storage and rapid retrieval of digital images and their data and 3) leverage and enhance hardware to develop and deploy pipelines for quantitative computational methodologies for pathologies found within a diverse ethnoracial cohort of Alzheimer?s disease brains. The UCD ADC continues to excel and expand in its research initiatives to collect and provide brain specimens and pathological data on a diverse population of individuals at various stages of cognitive ability and dementia risk. This supplement will further enable suitable infrastructure for enhancement of current collaborations and facilitate emerging collaborations by providing a means to share and analysis pathology on digitized whole slide images.

Public Health Relevance

Digital microscopy paired with machine learning algorithms has aided in diagnosis and provide more quantitative pathology data to unlock the secrets of diseases. These technologies are needed within the dementia field, specifically in diverse cohorts, as disease presentations may differ. By implementing state of the art imaging systems and analysis, the goals of this supplement are to enhance the ADC?s ability to provide greater access to high quality pathological data for educational, consultation and collaborative purposes, infrastructure to pursue digital solutions for more quantitative analysis, and safe secure storage of histologic specimens.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
3P30AG010129-28S1
Application #
9852188
Study Section
Special Emphasis Panel (ZAG1)
Program Officer
Silverberg, Nina B
Project Start
1997-07-15
Project End
2021-06-30
Budget Start
2019-05-01
Budget End
2019-06-30
Support Year
28
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of California Davis
Department
Neurology
Type
Schools of Medicine
DUNS #
047120084
City
Davis
State
CA
Country
United States
Zip Code
95618
Hanfelt, John J; Peng, Limin; Goldstein, Felicia C et al. (2018) Latent classes of mild cognitive impairment are associated with clinical outcomes and neuropathology: Analysis of data from the National Alzheimer's Coordinating Center. Neurobiol Dis 117:62-71
Ting, Simon Kang Seng; Foo, Heidi; Chia, Pei Shi et al. (2018) Dyslexic Characteristics of Chinese-Speaking Semantic Variant of Primary Progressive Aphasia. J Neuropsychiatry Clin Neurosci 30:31-37
Jena, Prasant Kumar; Sheng, Lili; Di Lucente, Jacopo et al. (2018) Dysregulated bile acid synthesis and dysbiosis are implicated in Western diet-induced systemic inflammation, microglial activation, and reduced neuroplasticity. FASEB J 32:2866-2877
Burke, Shanna L; Hu, Tianyan; Fava, Nicole M et al. (2018) Sex differences in the development of mild cognitive impairment and probable Alzheimer's disease as predicted by hippocampal volume or white matter hyperintensities. J Women Aging :1-25
Maezawa, Izumi; Nguyen, Hai M; Di Lucente, Jacopo et al. (2018) Kv1.3 inhibition as a potential microglia-targeted therapy for Alzheimer's disease: preclinical proof of concept. Brain 141:596-612
Meyer, Oanh L; Liu, Xiaoyan Lucia; Tancredi, Daniel et al. (2018) Acculturation level and caregiver outcomes from a randomized intervention trial to enhance caregivers' health: evidence from REACH II. Aging Ment Health 22:730-737
Fletcher, Evan; Gavett, Brandon; Harvey, Danielle et al. (2018) Brain volume change and cognitive trajectories in aging. Neuropsychology 32:436-449
Wang, Qi; Guo, Lei; Thompson, Paul M et al. (2018) The Added Value of Diffusion-Weighted MRI-Derived Structural Connectome in Evaluating Mild Cognitive Impairment: A Multi-Cohort Validation1. J Alzheimers Dis 64:149-169
Dadar, Mahsa; Maranzano, Josefina; Ducharme, Simon et al. (2018) Validation of T1w-based segmentations of white matter hyperintensity volumes in large-scale datasets of aging. Hum Brain Mapp 39:1093-1107
Wang, Tingyan; Qiu, Robin G; Yu, Ming (2018) Predictive Modeling of the Progression of Alzheimer's Disease with Recurrent Neural Networks. Sci Rep 8:9161

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