Evidence map›Paper›PMID 40468428›Full record

ArticleOrphanet journal of rare diseases2025

Progressive subcortical involvement as spinocerebellar ataxia type 3 advances.

Pubing Yuan, Yonghua Huang, Minghui Dai, Xin Jin, Dingxin Zheng, Die Xiao, Lihua Deng, Peiling Ou, Linfeng Shi, Yifan Chen and 4 more

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. 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

14 authors.

Pubing Yuan *The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.
Yonghua Huang *7T Magnetic Resonance Imaging Translational Medical Center, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, People's Republic of China.
Minghui DaiThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.
Xin JinThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.
Dingxin ZhengThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.
Die XiaoThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.
Lihua Deng7T Magnetic Resonance Imaging Translational Medical Center, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, People's Republic of China.
Peiling Ou7T Magnetic Resonance Imaging Translational Medical Center, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, People's Republic of China.
Linfeng Shi7T Magnetic Resonance Imaging Translational Medical Center, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, People's Republic of China.
Yifan ChenThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.
Jian Wang7T Magnetic Resonance Imaging Translational Medical Center, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, People's Republic of China.
Wei ChenMR Research Collaboration Team, Siemens Healthineers Ltd., Guangzhou, People's Republic of China.
Yuanchao ZhangThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, People's Republic of China. yuanchao.zhang8@gmail.com.
Chen Liu7T Magnetic Resonance Imaging Translational Medical Center, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, People's Republic of China. liuchen@aifmri.com.ORCID http://orcid.org/0000-0001-5149-2496

Funding

Chongqing Xinqiao Hospital, Second Affiliated Hospital of Army Medical University 2024YQBJ-2Senior Medical Talents Program of Chongqing for Young and Middle-aged 5414Z395The Natural Science Foundation of China 81601478The Natural Science Foundation of China 82071910The Young Middle-aged Senior Medical Talents studio of Chongqing 524Z28921
6 · The paper itself

Abstract

BACKGROUND AND

objectivesSpinocerebellar ataxia type 3 (SCA3) is a progressive neurodegenerative disease characterized by heterogeneous motor and nonmotor manifestations. The progressive pattern of subcortical shape abnormalities and their associations with the clinical phenotypes in SCA3 remain unknown.

methodsTract-based spatial statistics (TBSS) and FSL-FIRST were used to characterize the progressive patterns of the abnormalities in white matter microstructure and subcortical shape in four subgroups of SCA3 patients stratified based on disease duration (n = 56). These were compared to matched healthy control groups (n = 59).

resultsTBSS analyses revealed a clear progressive pattern of white matter microstructural abnormalities throughout the course of SCA3, as indicated by an expanding topographic distribution of fractional anisotropy (FA) reductions that originated from the cerebellar peduncle. Vertex-based shape analyses uncovered an increasing number of affected subcortical structures in symptomatic patients as the disease progressed with concurrent inward atrophy and outward inflation in subcortical structures including the bilateral thalamus, caudate, putamen, pallidum, hippocampus and brainstem. Moreover, the localized shape changes of subcortical structures correlated bidirectionally with clinical measurements including the length of CAG repeats within the ATXN3 gene, the scores on the scale of the assessment, the rating of ataxia, the instrumental activities of daily living scale, and the mini-mental state examination.

conclusionWe demonstrated progressive, localized, and bidirectional changes in the shape of subcortical structures that related to diverse clinical manifestations in SCA3, highlighting the pivotal role of localized shape abnormalities in contributing to the clinical heterogeneity of this disorder.

trial registrationImaging genetics study the relationship between MJD1 gene and cognitive impairment with Spinocerebellar Ataxia type 3, ChiCTR1800019901. Registered 8 December 2018 and ChiCTR2000039434. Registered 28 October 2020, http://chictr.org.cn .

Indexed as

Machado-Joseph DiseaseAdultAgedAtaxin-3Disease ProgressionFemaleHumansMaleMiddle AgedWhite MatterAtaxin-3ATXN3FSL-FIRSTSpinocerebellar ataxia type 3 (SCA3)Tract-based spatial statistics (TBSS)

Identifiers

PMID40468428
PMCPMC12135544

What Socratic 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 Socratic graph.