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A retrotransposon storm marks clinical phenoconversion to late-onset Alzheimer’s disease

Authors :
Macciardi, Fabio
Giulia Bacalini, Maria
Miramontes, Ricardo
Boattini, Alessio
Taccioli, Cristian
Modenini, Giorgia
Malhas, Rond
Anderlucci, Laura
Gusev, Yuriy
Gross, Thomas J.
Padilla, Robert M.
Fiandaca, Massimo S.
Head, Elizabeth
Guffanti, Guia
Federoff, Howard J.
Mapstone, Mark
Source :
GeroScience; 20220101, Issue: Preprints p1-26, 26p
Publication Year :
2022

Abstract

Recent reports have suggested that the reactivation of otherwise transcriptionally silent transposable elements (TEs) might induce brain degeneration, either by dysregulating the expression of genes and pathways implicated in cognitive decline and dementia or through the induction of immune-mediated neuroinflammation resulting in the elimination of neural and glial cells. In the work we present here, we test the hypothesis that differentially expressed TEs in blood could be used as biomarkers of cognitive decline and development of AD. To this aim, we used a sample of aging subjects (age > 70) that developed late-onset Alzheimer’s disease (LOAD) over a relatively short period of time (12–48 months), for which blood was available before and after their phenoconversion, and a group of cognitive stable subjects as controls. We applied our developed and validated customized pipeline that allows the identification, characterization, and quantification of the differentially expressed (DE) TEs before and after the onset of manifest LOAD, through analyses of RNA-Seq data. We compared the level of DE TEs within more than 600,000 TE-mapping RNA transcripts from 25 individuals, whose specimens we obtained before and after their phenotypicconversion (phenoconversion) to LOAD, and discovered that 1790 TE transcripts showed significant expression differences between these two timepoints (logFC ± 1.5, logCMP > 5.3, nominal pvalue < 0.01). These DE transcripts mapped both over- and under-expressed TE elements. Occurring before the clinical phenoconversion, this TE storm features significant increases in DE transcripts of LINEs, LTRs, and SVAs, while those for SINEs are significantly depleted. These dysregulations end with signs of manifest LOAD. This set of highly DE transcripts generates a TE transcriptional profile that accurately discriminates the before and after phenoconversion states of these subjects. Our findings suggest that a storm of DE TEs occurs before phenoconversion from normal cognition to manifest LOAD in risk individuals compared to controls, and may provide useful blood-based biomarkers for heralding such a clinical transition, also suggesting that TEs can indeed participate in the complex process of neurodegeneration.

Details

Language :
English
ISSN :
25092715 and 25092723
Issue :
Preprints
Database :
Supplemental Index
Journal :
GeroScience
Publication Type :
Periodical
Accession number :
ejs59856721
Full Text :
https://doi.org/10.1007/s11357-022-00580-w