Evidence map›Paper›PMID 35585302›Full record

ArticleGeroScience2022

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

Fabio Macciardi, Maria Giulia Bacalini, Ricardo Miramontes, Alessio Boattini, Cristian Taccioli, Giorgia Modenini, Rond Malhas, Laura Anderlucci, Yuriy Gusev, Thomas J Gross and 6 more

Open access · hybridAbstract read
In one paragraph

Article in GeroScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
8.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Article
  6. Long-read sequencing reveals genomic and epigenomic variation in the dark genome of human Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  7. Review
  8. Article
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  17. Article
  18. Microorganisms · 2024
    Review
  19. Review
  20. Epigenetic modifications of DNA and RNA in Alzheimer's disease.Frontiers in molecular neuroscience · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 6 institutions in 2 countries.

Fabio MacciardiDepartment of Psychiatry and Human Behavior, UCI, Irvine, USA. fmacciar@uci.edu.ORCID 0000-0003-0537-4266
Maria Giulia BacaliniIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Bologna, Italy.
Ricardo MiramontesDepartment of Neurology, UCI, Irvine, USA.
Alessio BoattiniBiGeA Department, University of Bologna, Bologna, Italy.
Cristian TaccioliMAPS Department, University of Padova, Padua, Italy.
Giorgia ModeniniBiGeA Department, University of Bologna, Bologna, Italy.
Rond MalhasDepartment of Neurology, UCI, Irvine, USA.
Laura AnderlucciDepartment of Statistical Sciences "Paolo Fortunati", University of Bologna, Bologna, Italy.
Yuriy GusevGeorgetown University Medical Center, Washington, DC, USA.
Thomas J GrossDepartment of Neurology, UCI, Irvine, USA.
Robert M PadillaDepartment of Neurology, UCI, Irvine, USA.
Massimo S FiandacaDepartment of Neurology, UCI, Irvine, USA.
Elizabeth HeadDepartment of Pathology, UCI, Irvine, USA.
Guia GuffantiDepartment of Psychiatry, McLean Hospital, Harvard Medical School, Boston, USA.
Howard J FederoffDepartment of Neurology, UCI, Irvine, USA.
Mark MapstoneDepartment of Neurology, UCI, Irvine, USA.
University of Bologna · ITGeorgetown University · USHarvard University · USIstituto delle Scienze Neurologiche di Bologna · ITUniversity of California, Irvine · USUniversity of Padua · IT

Funding

Project 3: Biomarkers for DS Clinical TrialsU19AG068054 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HANDEN, BENJAMIN L · 2020 to 2025
$103.7M
The role of Human Endogenous Retroviruses (HERVs) in the regulation of neural genome of schizophreniaR21MH115327 · NIMH · MCLEAN HOSPITAL · PI GUFFANTI, GUIA, MACCIARDI, FABIO · 2017 to 2018
$448k
NIA NIH HHS U19 AG068054NIMH NIH HHS R21 MH115327
6 · The paper itself

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 phenotypic conversion (phenoconversion) to LOAD, and discovered that 1790 TE transcripts showed significant expression differences between these two timepoints (logFC ± 1.5, logCMP > 5.3, nominal p value < 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.

Indexed as

Alzheimer DiseaseRetroelementsBiomarkersHumansRNABiomarkersRetroelementsRNAAlzheimer diseaseBlood biomarkersGene expressionMachine learningRetrotransposonsTransposable elements

Identifiers

PMID35585302
PMCPMC9213607
OpenAlexW4280496883

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.