Investigators have long suspected that pathogenic microbes might contribute to the onset or progression of Alzheimer's disease (AD), but the question of whether microbe-related antigens represent a causal component of AD, or are an opportunistic passenger of neurodegeneration is difficult to resolve. Here we propose to expand on our preliminary work mapping biological networks underlying two distinct AD-associated phenotypes using independent post-mortem data sets collected from human subjects. First, we apply a computational approach to build region-specific biological networks from `preclinical AD' samples measured from individuals that meet neuropathological criteria for AD, but who were cognitively intact at the time of death. Specifically, we construct regulatory networks from laser capture microdissected neurons collected from entorhinal cortex (EC) and hippocampal (HIP) tissue and compared the structure of preclinical AD and control networks. We use network analysis to identify several sub-networks and key drivers perturbed in preclinical AD. Functional genomic analysis of networks identified many enrichments relevant to viral susceptibility loci among network drivers, including roles for C2H2 zinc fingers, G4-quadruplex activity, and miR-155 in regulating diverse pro and anti-viral factors. Preliminary network analysis of a second independent data set characterizing individuals with `clinical AD' identified more direct evidence for network mechanisms of viral activity in AD. The availability of next-generation DNA and RNA sequencing allowed us to evaluate the direct presence of viral sequences, and quantify association with AD. We built preliminary network models of host- virus regulatory interactions and virus-virus interactions to correlate viral species with the severity of cognitive impairment and neuropathology. We find evidence that the virus-host landscape is shaped by both competitive and synergistic interactions between multiple viral species, with collective impacts on amyloid precursor protein (APP) processing, cytoskeletal organization, protein synthesis and innate immune response. We identified host DNA variants that associate with viral abundance (vQTL), and found that vQTLs associate with increased AD risk, clinical dementia severity, and neuropathology severity, indicating a shared genetic basis linking risk for AD, severity of AD neuropathology, and abundance of specific viral species. We propose to perform computational and experimental work to further elucidate the specific network mechanisms causal drivers or viral pathogens in AD pathophysiology. Specifically, we aim i) to map and models the roles of specific viral species in modulating pathogenic molecular, genetic, and clinical networks in preclinical and clinical AD, ii) to evaluate the roles of C2H2 zinc finger proteins and G-quadruplex sequences in mediating molecular pathology of preclinical and clinical AD, and iii) to identify and evaluate specific molecules that mediate viral effects upon the molecular pathology of preclinical and clinical AD.

Public Health Relevance

Our best hope for having a major impact on Alzheimer's disease (AD) would be the discovery of interventions that arrest the progression from asymptomatic to symptomatic. We have identified viral genes that appear to promote disease progression, and we propose to validate their existence and attempt to identify meaningful therapies aimed at viral genes related to AD progression.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
High Priority, Short Term Project Award (R56)
Project #
1R56AG058469-01
Application #
9557996
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Wise, Bradley C
Project Start
2017-09-15
Project End
2019-08-31
Budget Start
2017-09-15
Budget End
2019-08-31
Support Year
1
Fiscal Year
2017
Total Cost
Indirect Cost
Name
Icahn School of Medicine at Mount Sinai
Department
Genetics
Type
Schools of Medicine
DUNS #
078861598
City
New York
State
NY
Country
United States
Zip Code
10029
Smith, Milo R; Yevoo, Priscilla; Sadahiro, Masato et al. (2018) Integrative bioinformatics identifies postnatal lead (Pb) exposure disrupts developmental cortical plasticity. Sci Rep 8:16388