Evidence map›Paper›PMID 40413526›Full record

ArticleActa neuropathologica communications2025

Viral-mediated knockdown of Atxn2 attenuates TDP-43 pathology and muscle dysfunction in the PFN1

Zachary C E Hawley, Xueying Li, Dora Bodnar, Yuanzheng Gu, Yi Luo, Daniel Ferretti, Adam Sheehy, Rachelle Driscoll, Maria I Zavodszky, Shaolong Cao and 13 more

Abstract read
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In one paragraph

Article in Acta neuropathologica communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

23 authors.

Zachary C E HawleyBiogen, Cambridge, MA, USA.
Xueying LiBiogen, Cambridge, MA, USA.
Dora BodnarBiogen, Cambridge, MA, USA.
Yuanzheng GuBiogen, Cambridge, MA, USA.
Yi LuoBiogen, Cambridge, MA, USA.
Daniel FerrettiBiogen, Cambridge, MA, USA.
Adam SheehyBiogen, Cambridge, MA, USA.
Rachelle DriscollBiogen, Cambridge, MA, USA.
Maria I ZavodszkyBiogen, Cambridge, MA, USA.
Shaolong CaoBiogen, Cambridge, MA, USA.
Isabel IsazaBiogen, Cambridge, MA, USA.
Luke JandreskiBiogen, Cambridge, MA, USA.
Yuqing LiuBiogen, Cambridge, MA, USA.
Thomas CarlileBiogen, Cambridge, MA, USA.
Shih-Ching LoBiogen, Cambridge, MA, USA.
Anna GrimardBiogen, Cambridge, MA, USA.
Shawn BourqueBiogen, Cambridge, MA, USA.
Aditya UtturkarBiogen, Cambridge, MA, USA.
Samantha DesmaraisBiogen, Cambridge, MA, USA.
H Moore ArnoldBiogen, Cambridge, MA, USA.
Dann HuhBiogen, Cambridge, MA, USA.
Edward GuilmetteBiogen, Cambridge, MA, USA.
Deborah Y KwonBiogen, Cambridge, MA, USA. deborahykwon@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder characterized by progressive motor neuron loss and muscle atrophy. Hyperphosphorylated aggregation of the RNA-binding protein, TDP-43, in the motor cortex and spinal cord are defining molecular features of ALS, suggesting TDP-43 dysfunction underlies disease pathogenesis. This phenomenon, however, has been difficult to recapitulate endogenously in animal models, impeding characterization of TDP-43 pathobiology in neurodegeneration. In this study, we report age-dependent accumulation of TDP-43 pathology in the spinal cord and progressive muscle-related deficits in transgenic mice expressing the ALS-associated PFN1

Indexed as

Amyotrophic Lateral SclerosisAtaxin-2DNA-Binding ProteinsProfilinsAnimalsDisease Models, AnimalGene Knockdown TechniquesHumansMaleMiceMice, TransgenicMotor NeuronsMuscle, SkeletalSpinal CordAtaxin-2Atxn2 protein, mouseDNA-Binding ProteinsPFN1 protein, humanProfilinsTardbp protein, mouse

Identifiers

PMID40413526
PMCPMC12102926

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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.