Evidence map›Paper›PMID 40898616›Full record

ArticleMolecular therapy : the journal of the American Society of Gene Therapy2025

AAV delivery of artificial miRNA targeting MAPT for the reduction of tau pathology in Alzheimer's disease.

Jessica M Hogestyn, Erik Wischhof, Yao Chen, Tiffany Chan, Brenda Richards, Thangaaishwarya Mahendran, Johanna Adams, Daniel Dubreuil, Jie Bu, Robert Jackson and 4 more

Abstract read
In one paragraph

Article in Molecular therapy : the journal of the American Society of Gene Therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

14 authors.

Jessica M HogestynSanofi Genomic Medicine Unit, Waltham, MA 02451, USA.
Erik WischhofSanofi Genomic Medicine Unit, Waltham, MA 02451, USA.
Yao ChenSanofi Translational Medicine Unit, Cambridge, MA 02141, USA.
Tiffany ChanSanofi Genomic Medicine Unit, Waltham, MA 02451, USA.
Brenda RichardsSanofi Genomic Medicine Unit, Waltham, MA 02451, USA.
Thangaaishwarya MahendranSanofi Genomic Medicine Unit, Waltham, MA 02451, USA.
Johanna AdamsSanofi Genomic Medicine Unit, Waltham, MA 02451, USA.
Daniel DubreuilSanofi Genomic Medicine Unit, Waltham, MA 02451, USA.
Jie BuSanofi Genomic Medicine Unit, Waltham, MA 02451, USA.
Robert JacksonSanofi Genomic Medicine Unit, Waltham, MA 02451, USA.
Martin GouletSanofi Genomic Medicine Unit, Waltham, MA 02451, USA.
Christian MuellerSanofi Genomic Medicine Unit, Waltham, MA 02451, USA.
Shyam RamachandranSanofi Genomic Medicine Unit, Waltham, MA 02451, USA. Electronic address: gmu@sanofi.com.
Bradford ElmerSanofi Genomic Medicine Unit, Waltham, MA 02451, USA. Electronic address: bradford.elmer@sanofi.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tau reduction is a promising therapeutic approach with the potential to slow the progression of Alzheimer's disease. Here, we propose adeno-associated viral (AAV) delivery of an artificial miRNA (amiRNA) targeting the microtubule-associated protein tau (MAPT) mRNA for sustained tau reduction with a single therapeutic injection. Out of 22 initial designs, we identified potent, accurately processed, and highly specific amiRNA candidates. Our lead, amiR

Indexed as

Alzheimer DiseaseDependovirusGenetic VectorsMicroRNAstau ProteinsAnimalsBrainDisease Models, AnimalGenetic TherapyGene Transfer TechniquesHumansMiceMice, TransgenicNeuronsMicroRNAstau ProteinsAAVAlzheimer’s diseaseartificial miRNAgene therapyMAPTRNAitautauopathies

Identifiers

PMID40898616
PMCPMC12703150

What OpenQuestion holds

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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.