Evidence map›Paper›PMID 41509407›Full record

ArticlebioRxiv : the preprint server for biology2025

Treatment of Huntington's disease with a pan-HTT-targeting CRISPR nuclease.

Katherine Tan, Daniela Del Bosque Siller, Alisha Y Xiong, Anna X A Wang, Tristan X McCallister, Sreya Mummadi, Luke A St John, Tae Kyu Lee, Annika Carrillo, Daniel G Renshaw and 6 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Katherine TanDepartment of Bioengineering, Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Daniela Del Bosque SillerSchool of Molecular and Cellular Biology, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Alisha Y XiongSchool of Molecular and Cellular Biology, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Anna X A WangDepartment of Bioengineering, Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Tristan X McCallisterDepartment of Bioengineering, Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Sreya MummadiSchool of Molecular and Cellular Biology, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Luke A St JohnSchool of Molecular and Cellular Biology, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Tae Kyu LeeDepartment of Bioengineering, Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Annika CarrilloDepartment of Bioengineering, Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Daniel G RenshawDepartment of Bioengineering, Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Richard H ZhouDepartment of Bioengineering, Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Colin K W LimDepartment of Bioengineering, Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Jack HeDepartment of Bioengineering, Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Christopher J FieldsHigh-Performance Biological Computing, Roy J. Carver Biotechnology Center, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Michael R HaydenCentre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, BC V5Z 4H4, CA.ORCID 0000-0001-5159-1419
Thomas GajDepartment of Bioengineering, Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0000-0001-6004-9664

Funding

Optimization of an in vivo base editing strategy to treat SOD1-linked ALSU01NS122102 · NINDS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Thomas Gaj, Pablo Perez-Pinera · 2022 to 2026
$5.0M
Development of Technologies for Efficient In Vivo Prime EditingR01GM141296 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI PEREZ-PINERA, PABLO, SONG, JUN S · 2021 to 2024
$2.1M
Development of a CRISPR-Cas13 Gene Therapy for SOD1-Linked ALSR01NS123556 · NINDS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Thomas Gaj · 2022 to 2026
$1.8M
NIGMS NIH HHS R01 GM141296NINDS NIH HHS R01 NS123556NINDS NIH HHS U01 NS122102
6 · The paper itself

Abstract

Huntington's disease (HD) is an inherited neurodegenerative disorder caused by an expansion of a CAG trinucleotide repeat in the huntingtin (HTT) gene, which leads to a mutant protein that destroys neurons in the brain. Despite intense effort, there remains no approved disease-modifying therapy for HD. Here we develop a pan-HTT-targeting CRISPR-Cas9 system that, when delivered to the striatum of R6/2 and YAC128 mice by AAV5, lowered mutant HTT mRNA and protein by 55-80% via its induction of frameshift-inducing indel mutations in HTT exon 1. Cas9 targeting improved motor coordination and locomotor activity, decreased anxiety-like deficits, reduced clasping and weight loss, limited striatal atrophy, and decreased the formation of intranuclear inclusions immunoreactive for the mutant HTT protein. In Hu21/21 mice, which carry the wild-type human HTT gene in lieu of the mouse ortholog, Cas9 lowered the HTT protein by 44% but induced no measurable behavioral deficits and had no adverse effect on neuronal viability, though its targeting was associated with neuroinflammation. Altogether, our results demonstrate the ability for a newly developed pan-HTT-targeting Cas9 system to affect HD-related phenotypes across models and provides insights into its tolerability.

Identifiers

PMID41509407
PMCPMC12776121

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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.