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Large-scale proteomic analysis of human brain identifies proteins associated with cognitive trajectory in advanced age

Authors :
Geidy E. Serrano
Thomas S. Wingo
Allan I. Levey
Benjamin A. Logsdon
Madhav Thambisetty
Juan C. Troncosco
Michael S. Breen
James J. Lah
Eric B. Dammer
Aliza P. Wingo
Nicholas T. Seyfried
Thomas G. Beach
Duc M. Duong
Richard J. Caselli
Eric M. Reiman
Source :
Nature Communications, Vol 10, Iss 1, Pp 1-14 (2019), Nature Communications
Publication Year :
2019
Publisher :
Nature Portfolio, 2019.

Abstract

In advanced age, some individuals maintain a stable cognitive trajectory while others experience a rapid decline. Such variation in cognitive trajectory is only partially explained by traditional neurodegenerative pathologies. Hence, to identify new processes underlying variation in cognitive trajectory, we perform an unbiased proteome-wide association study of cognitive trajectory in a discovery (n = 104) and replication cohort (n = 39) of initially cognitively unimpaired, longitudinally assessed older-adult brain donors. We find 579 proteins associated with cognitive trajectory after meta-analysis. Notably, we present evidence for increased neuronal mitochondrial activities in cognitive stability regardless of the burden of traditional neuropathologies. Furthermore, we provide additional evidence for increased synaptic abundance and decreased inflammation and apoptosis in cognitive stability. Importantly, we nominate proteins associated with cognitive trajectory, particularly the 38 proteins that act independently of neuropathologies and are also hub proteins of protein co-expression networks, as promising targets for future mechanistic studies of cognitive trajectory.<br />Cognitive abilities tend to decline over time in advanced age, yet some individuals experience stable abilities or rapid decline. Here the authors present a proteome-wide association study of cognitive trajectory, and identify 38 proteins associated with cognitive resilience.

Details

Language :
English
ISSN :
20411723
Volume :
10
Issue :
1
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....e6dd0933848ec57b70d613b6c2755b3e