Evidence mapPaperPMID 41449309Full record

ReviewJournal of neurology2025

Multiple system atrophy: advances in pathogenesis and emerging therapeutic strategies.

Zhiqing Chen, Lin Mei, Yue Huang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of neurology, 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. 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

3 authors.

Zhiqing ChenHuman Brain and Tissue Bank, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Lin MeiChinese Institutes for Medical Research, Beijing, China.
Yue HuangHuman Brain and Tissue Bank, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. yue.huang@ncrcnd.org.cn.ORCID http://orcid.org/0000-0001-6051-2241

Funding

National Natural Science Foundation of China 82071417National Natural Science Foundation of China T2488101State Key Laboratory of Infectious Disease Prevention and Control 2022SKLID306
6 · The paper itself

Abstract

Multiple system atrophy (MSA) is an adult onset progressive, sporadic neurodegenerative disorder. Individuals with MSA display a range of symptoms, including autonomic dysfunction, Parkinsonian features, and cerebellar impairment. Although symptomatic treatments can improve patients' quality of life, their effects are often temporary and do not alter disease progression or address its pathogenic causes. MSA patients undergo a prodromal phase that precedes the gradual onset of neuropathological changes. Therefore, understanding the early pathological events is essential for unraveling the disease's mechanisms and developing therapies to slow down its progression. Over the past five years, significant progress has been made in understanding the pathogenesis of MSA. Key findings in the epidemiology and genetics of the disease have highlighted a central role of α-synuclein (α-Syn) in the development of MSA. Numerous preclinical and clinical studies highlighted novel aspects of α-Syn aggregation, neuroinflammation, neurotrophic support, and mitochondrial dysfunction. This review covers both the traditional understanding and recent developments in MSA pathogenesis and provides an overview of related clinical trials, offering insights for future research directions in MSA.

Indexed as

Multiple System Atrophyalpha-SynucleinAnimalsHumansalpha-SynucleinClinical trialsMultiple system atrophyNeurodegenerationPathogenesisTargeted therapies

Identifiers

What Socratic holds

Textmetadata
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.