Evidence map›Paper›PMID 31745548›Full record

ArticleNucleic acids research2020

Potent and sustained huntingtin lowering via AAV5 encoding miRNA preserves striatal volume and cognitive function in a humanized mouse model of Huntington disease.

Nicholas S Caron, Amber L Southwell, Cynthia C Brouwers, Louisa Dal Cengio, Yuanyun Xie, Hailey Findlay Black, Lisa M Anderson, Seunghyun Ko, Xiang Zhu, Sander J van Deventer and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
–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

55 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Treatment of Huntington's disease with a pan-HTT-targeting CRISPR nuclease.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. MicroRNAs in neurodegenerative diseases: from molecular mechanisms to clinical biomarkers, detection methods and therapeutic strategies-advances and challenges.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
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  11. Article
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  13. Article
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  19. Neurosurgical gene therapy for central nervous system diseases.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024
    Review
  20. 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

13 authors.

Nicholas S CaronCentre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada.
Amber L SouthwellCentre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada.
Cynthia C BrouwersDepartment of Research & Development, uniQure biopharma B.V., Amsterdam, the Netherlands.
Louisa Dal CengioCentre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada.
Yuanyun XieCentre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada.
Hailey Findlay BlackCentre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada.
Lisa M AndersonCentre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada.
Seunghyun KoCentre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada.
Xiang ZhuBurnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, Florida, USA.
Sander J van DeventerDepartment of Research & Development, uniQure biopharma B.V., Amsterdam, the Netherlands.
Melvin M EversDepartment of Research & Development, uniQure biopharma B.V., Amsterdam, the Netherlands.
Pavlina KonstantinovaDepartment of Research & Development, uniQure biopharma B.V., Amsterdam, the Netherlands.
Michael R HaydenCentre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Huntington disease (HD) is a fatal neurodegenerative disease caused by a pathogenic expansion of a CAG repeat in the huntingtin (HTT) gene. There are no disease-modifying therapies for HD. Artificial microRNAs targeting HTT transcripts for degradation have shown preclinical promise and will soon enter human clinical trials. Here, we examine the tolerability and efficacy of non-selective HTT lowering with an AAV5 encoded miRNA targeting human HTT (AAV5-miHTT) in the humanized Hu128/21 mouse model of HD. We show that intrastriatal administration of AAV5-miHTT results in potent and sustained HTT suppression for at least 7 months post-injection. Importantly, non-selective suppression of huntingtin was generally tolerated, however high dose AAV5-miHTT did induce astrogliosis. We observed an improvement of select behavioural and modest neuropathological HD-like phenotypes in Hu128/21 mice, suggesting a potential therapeutic benefit of miRNA-mediated non-selective HTT lowering. Finally, we also observed that potent reduction of wild type HTT (wtHTT) in Hu21 control mice was tolerated up to 7 months post-injection but may induce impairment of motor coordination and striatal atrophy. Taken together, our data suggests that in the context of HD, the therapeutic benefits of mHTT reduction may outweigh the potentially detrimental effects of wtHTT loss following non-selective HTT lowering.

Indexed as

AnimalsAnimals, Genetically ModifiedAstrocytesBase SequenceCorpus StriatumDependovirusDisease Models, AnimalGene DosageGenetic VectorsHumansHuntingtin ProteinHuntington DiseaseMiceMicroRNAsMolecular Targeted TherapyNeurogliaHTT protein, humanHuntingtin ProteinMicroRNAsRNA, Messenger

Identifiers

PMID31745548
PMCPMC7145682

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Registered trials

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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.