PT  - JOURNAL ARTICLE
AU  - Erik C.B. Johnson
AU  - E. Kathleen Carter
AU  - Eric B. Dammer
AU  - Duc M. Duong
AU  - Ekaterina S. Gerasimov
AU  - Yue Liu
AU  - Jiaqi Liu
AU  - Ranjita Betarbet
AU  - Lingyan Ping
AU  - Luming Yin
AU  - Geidy E. Serrano
AU  - Thomas G. Beach
AU  - Junmin Peng
AU  - Philip L. De Jager
AU  - Chris Gaiteri
AU  - David A. Bennett
AU  - Marla Gearing
AU  - Thomas S. Wingo
AU  - Aliza P. Wingo
AU  - James J. Lah
AU  - Allan I. Levey
AU  - Nicholas T. Seyfried
TI  - Large-Scale Deep Multi-Layer Analysis of Alzheimer’s Disease Brain Reveals Strong Proteomic Disease-Related Changes Not Observed at the RNA Level
AID  - 10.1101/2021.04.05.438450
DP  - 2021 Jan 01
TA  - bioRxiv
PG  - 2021.04.05.438450
4099  - http://biorxiv.org/content/early/2021/04/06/2021.04.05.438450.short
4100  - http://biorxiv.org/content/early/2021/04/06/2021.04.05.438450.full
AB  - The biological processes that are disrupted in the Alzheimer’s disease (AD) brain remain incompletely understood. We recently performed a proteomic analysis of >2000 brains to better understand these changes, which highlighted alterations in astrocytes and microglia as likely key drivers of disease. Here, we extend this analysis by analyzing >1000 brain tissues using a tandem mass tag mass spectrometry (TMT-MS) pipeline, which allowed us to nearly triple the number of quantified proteins across cases. A consensus protein co-expression network analysis of this deeper dataset revealed new co-expression modules that were highly preserved across cohorts and brain regions, and strongly altered in AD. Nearly half of the protein co-expression modules, including modules significantly altered in AD, were not observed in RNA networks from the same cohorts and brain regions, highlighting the proteopathic nature of AD. Two such AD-associated modules unique to the proteomic network included a module related to MAPK signaling and metabolism, and a module related to the matrisome. Analysis of paired genomic and proteomic data within subjects showed that expression level of the matrisome module was influenced by the APOE ε4 genotype, but was not related to the rate of cognitive decline after adjustment for neuropathology. In contrast, the MAPK/metabolism module was strongly associated with the rate of cognitive decline. Disease-associated modules unique to the proteome are sources of promising therapeutic targets and biomarkers for AD.Competing Interest StatementThe authors have declared no competing interest.