Evidence map›Paper›PMID 41593075›Full record

ArticleNPJ Parkinson's disease2026

Systematic evaluation of mitochondrial morphology regulators for amelioration of neuronal α-synucleinopathy.

Su Yeon Kim, JunYoung Choi, Dong Cheol Jang, Pa Reum Lee, Gyu-Sang Hong, Jinkuk Kim, Won-Ki Jeong, Kihoon Han, Seok-Kyu Kwon

Abstract read
In one paragraph

Article in NPJ Parkinson's disease, 2026. 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

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

9 authors.

Su Yeon KimBrain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
JunYoung ChoiDepartment of Computer Science and Engineering, Korea University, Seoul, Republic of Korea.
Dong Cheol JangBrain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Pa Reum LeeBrain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Gyu-Sang HongBrain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Jinkuk KimGraduate School of Medical Science and Technology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Won-Ki JeongDepartment of Computer Science and Engineering, Korea University, Seoul, Republic of Korea.
Kihoon HanDepartment of Neuroscience, Korea University College of Medicine, Seoul, Republic of Korea.
Seok-Kyu KwonBrain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea. skkwon@kist.re.kr.

Funding

KIST Program 2E33701Korean government (MSIT) 2019M3E5D2A0106379412Korean government (MSIT) NRF-2021R1C1C1013840
6 · The paper itself

Abstract

Neuronal mitochondria display distinct morphologies across compartments, with dendritic mitochondria being elongated and axonal ones shorter, and their morphologies are dynamically changed via fusion and fission machineries. Mitochondrial structural abnormalities are common in neurodegenerative diseases such as Alzheimer's disease and Parkinson's disease, yet systematic evaluation of therapeutic targets remains limited. Here, we tested key mitochondrial shape regulators, mitofusin 1/2 for fusion and Mff/Fis1 for fission, in an α-synucleinopathy model. Using MitoVis, a deep learning-based neuronal mitochondrial image analysis tool, we achieved rapid, compartment-specific analysis of mitochondrial morphologies. Among all interventions, Fis1 knockdown most effectively protected mitochondrial structure to control levels without inducing over-elongation of axonal mitochondria, which was linked to abnormal Ca

Identifiers

PMID41593075
PMCPMC12953900

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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.