Browsing by Subject "Late‐Onset Alzheimer’s Disease (LOAD)"

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    Aging x Environment x genetic risk for late onset Alzheimer’s disease results in alterations in cognitive function in mice independent of amyloid and tau pathology
    (Wiley, 2025-01-03) Williams, Sean-Paul Gerard; Santos, Diogo Francisco Silva; Haynes, Kathryn A.; Heaton, Nicholas; Hart, Jason T.; Kotredes, Kevin P.; Pandey, Ravi S.; Persohn, Scott C.; Eldridge, Kierra; Ingraham, Cynthia M.; Lloyd, Christopher D.; Wang, Nian; Sasner, Michael; Carter, Gregory W.; Territo, Paul R.; Lamb, Bruce T.; Howell, Gareth R.; Oblak, Adrian L.; Sukoff Rizzo, Stacey J.; Neurology, School of Medicine
    Background: Alzheimer’s disease (AD) research has been historically dominated with studies in mouse models expressing familial AD mutations; however, the majority of AD patients have the sporadic, late‐onset form of AD (LOAD). To address this gap, the IU/JAX/PITT MODEL‐AD Consortium has focused on development of mouse models that recapitulate LOAD by combining genetic risk variants with environmental risk factors and aging to enable more precise models to evaluate potential therapeutics. The present studies were undertaken to characterize cognitive and neurophysiological phenotypes in LOAD mice. Method: Two genetic risk factors, APOE4 and Trem2*R47H, were incorporated into C57BL/6J mice with humanized amyloid‐beta to produce the LOAD2 model (JAX# 030670). Male and female LOAD2 and WT mice were exposed to ad libitum 45% high‐fat diet from 2‐months of age (LOAD2+HFD or WT+HFD, respectively) throughout their lifespan and compared to LOAD2 and WT mice on control diet (+CD). Cognitive training began at 14‐months of age using a touchscreen testing battery, similar to previously described methods (Oomen et al 2013). At the conclusion of touchscreen testing, subjects were implanted with wireless telemetry devices (DSI) for evaluation of electroencephalography (EEG) signatures. Result: All subjects met the touch‐reward association criteria. During task acquisition LOAD2+CD mice demonstrated impaired acquisition relative to WT+CD, while both LOAD2+HFD and WT+HFD failed to learn the task as indicated by accuracy less than chance (<50%); which was confirmed in a separate cohort. LOAD2+HFD mice demonstrated increased spikewave events as measured by EEG, relative to LOAD2+CD. At 18‐months of age +CD mice that met acquisition criteria were evaluated in a location discrimination task with LOAD2+CD mice demonstrating modest impairments in pattern separation relative to age‐matched WT+CD. Conclusion: These data are the first reports of cognitive deficits and neurophysiological alterations in mice with environmental x genetic risk for LOAD, independent of amyloid and tau pathology. Importantly, the present findings demonstrate the sensitivity of the translational touchscreen testing battery for detecting mild cognitive impairment in LOAD mice with corresponding neurophysiologic alterations, and extend previous characterization data for the LOAD2 model and its utility for the study of the biology of LOAD.
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    Beyond GWAS: Investigating Structural Variants and Their Segregation in Familial Alzheimer’s Disease
    (Wiley, 2025-01-09) Gunasekaran, Tamil Iniyan; Reyes-Dumeyer, Dolly; Corvelo, André; Clarke, Wayne E.; Evani, Uday S.; Byrska-Bishop, Marta S.; Basile, Anna O.; Runnels, Alexi; Musunuri, Rajeeva O.; Narzisi, Giuseppe; Faber, Kelley M.; Goate, Alison M.; Boeve, Brad F.; Cruchaga, Carlos; Pericak-Vance, Margaret A.; Haines, Jonathan L.; Rosenberg, Roger N.; Tsuang, Debby W.; Rivera Mejia, Diones; Medrano, Martin; Lantigua, Rafael A.; Sweet, Robert; Bennett, David A.; Wilson, Robert S.; Foroud, Tatiana M.; Dalgard, Clifton L.; Mayeux, Richard; Zody, Michael; Vardarajan, Badri N.; Medical and Molecular Genetics, School of Medicine
    Background: Late‐Onset Alzheimer’s Disease (LOAD) is characterized by genetic heterogeneity and there is no single model explaining the genetic mode of inheritance. To date, more than 70 genetic loci associated with AD have been identified but they explain only a small proportion of AD heritability. Structural variants (SVs) may explain some of the missing AD heritability, and specifically, their segregation in AD families has yet to be investigated. Method: We analyzed WGS data from 197 NHW families (926 subjects, 58.5% affected) and 214 CH families (1,340 subjects, 59.17% affected). Manta, Absinthe, and MELT were used for large insertions/deletions calling from short‐read WGS, combined with Sniffles2 calls from 4 ONT‐sequenced genomes and an external SV call set from HGSVC on 32 PacBio‐sequenced genomes from the 1000 Genomes Project. Genotyping produced a unified project‐level VCF. We identified 45,251 insertions and 76,566 deletions genome‐wide. Variants were tested for segregation and pathogenicity using Annot‐SV, cadd‐SV, and Variant Effect Predictor. Segregation required SV presence in all affected family members and only in unaffected members five years younger than average disease onset. Result: We identified 453 insertions and 598 deletions segregating in 78.68% and 87.31% of NHW families, respectively. In CH families, 432 insertions and 460 deletions were segregating in 75.23% and 72.90% of the families, respectively. Genes overlapping with the SVs exhibited high expression levels in brain tissues. Notably, around 93% of insertions and 76% of deletions segregating in NHW and CH families were less than 1 kilobase pair (1kbp) in length. A total of 79 insertions and 96 deletions were found to be segregating in both NHW and CH families. Interestingly, a segregating insertion was observed in CH families overlapping within the CACNA2D3 gene, which was previously reported in a CH GWAS for clinical AD. A deletion segregating in NHW overlapped with the PSEN1, and another in a CH family overlapped with the PTK2B gene. Conclusion: Our findings suggested that there are several SVs associated with familial AD across CH and NHW families. Prioritizing the SVs based on their effects on gene function and expression will be helpful in understanding their contributions in AD.