Identification of Pre-symptomatic Gene Signatures That Predict Resilience to Cognitive Decline in the Genetically Diverse AD-BXD Model.

Authors

Sarah M Neuner, The Jackson LaboratoryFollow
Sarah E Heuer, The Jackson LaboratoryFollow
Ji-Gang Zhang, The Jackson LaboratoryFollow
Vivek M. Philip, The Jackson LaboratoryFollow
Catherine Kaczorowski, The Jackson LaboratoryFollow

Document Type

Article

Publication Date

2-6-2019

Keywords

JMG

JAX Source

Front Genet 2019 Feb 6; 10:35

Volume

10

First Page

35

Last Page

35

ISSN

1664-8021

PMID

30787942

DOI

https://doi.org/10.3389/fgene.2019.00035

Grant

AG057914,AG050357

Abstract

Across the population, individuals exhibit a wide variation of susceptibility or resilience to developing Alzheimer's disease (AD). Identifying specific factors that promote resilience would provide insight into disease mechanisms and nominate potential targets for therapeutic intervention. Here, we use transcriptome profiling to identify gene networks present in the pre-symptomatic AD mouse brain relating to neuroinflammation, brain vasculature, extracellular matrix organization, and synaptic signaling that predict cognitive performance at an advanced age. We highlight putative drivers of these observed relationships, including

Comments

Open access under Creative Commons Attribution (CC BY) license

Recommended Citation

Neuner S, Heuer S, Zhang J, Philip VM, Kaczorowski C. Identification of Pre-symptomatic Gene Signatures That Predict Resilience to Cognitive Decline in the Genetically Diverse AD-BXD Model. Front Genet 2019 Feb 6; 10:35