Evidence map›Paper›PMID 41066510›Full record

ArticlePLoS biology2025

Seizure evolution in a mouse model of West syndrome involves complex and time-dependent synapse remodeling, gliosis and alterations in lipid metabolism.

Ruiying Ma, Muwon Kang, Gyu Hyun Kim, Hyojin Kang, Sunho Lee, Yeji Yang, Hea Ji Lee, Seungji Choi, Seungsoo Kim, Seoyeong Kim and 19 more

Abstract read
In one paragraph

Article in PLoS biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

29 authors.

Ruiying MaDepartment of Neuroscience, Korea University College of Medicine, Seoul, Republic of Korea.
Muwon KangDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
Gyu Hyun KimDepartment of Neuroscience, Korea University College of Medicine, Seoul, Republic of Korea.
Hyojin KangDivision of National Supercomputing, Korea Institute of Science and Technology Information, Daejeon, Republic of Korea.
Sunho LeeIntegrated Metabolomics Research Group, Metropolitan Seoul Center, Korea Basic Science Institute, Seoul, Republic of Korea.
Yeji YangDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
Hea Ji LeeDigital Omics Research Center, Korea Basic Science Institute, Ochang, Republic of Korea.
Seungji ChoiBK21 Graduate Program, Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea.
Seungsoo KimBK21 Graduate Program, Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea.
Seoyeong KimDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
Yukyung JunDivision of National Supercomputing, Korea Institute of Science and Technology Information, Daejeon, Republic of Korea.
Hyewon KimDivision of National Supercomputing, Korea Institute of Science and Technology Information, Daejeon, Republic of Korea.
Yinhua ZhangDepartment of Neuroscience, Korea University College of Medicine, Seoul, Republic of Korea.
U Suk KimDepartment of Neuroscience, Korea University College of Medicine, Seoul, Republic of Korea.
Hyae Rim KangDepartment of Neuroscience, Korea University College of Medicine, Seoul, Republic of Korea.
Yoonhee KimDepartment of Neuroscience, Korea University College of Medicine, Seoul, Republic of Korea.
Yulim LeeDepartment of Medical Science, Chungnam National University School of Medicine, Daejeon, Republic of Korea.
Woosuk ChungDepartment of Medical Science, Chungnam National University School of Medicine, Daejeon, Republic of Korea.
Eun Jung LeeBK21 Graduate Program, Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea.
Serk In ParkBK21 Graduate Program, Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea.
Eunha KimDepartment of Neuroscience, Korea University College of Medicine, Seoul, Republic of Korea.
Minji JeonBK21 Graduate Program, Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea.
Geum-Sook HwangIntegrated Metabolomics Research Group, Metropolitan Seoul Center, Korea Basic Science Institute, Seoul, Republic of Korea.
Jungmin ChoiBK21 Graduate Program, Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea.
Youngae JungIntegrated Metabolomics Research Group, Metropolitan Seoul Center, Korea Basic Science Institute, Seoul, Republic of Korea.
Jin Young KimDigital Omics Research Center, Korea Basic Science Institute, Ochang, Republic of Korea.
Eunjoon KimDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
Kea Joo LeeNeural Circuits Research Group, Korea Brain Research Institute, Daegu, Republic of Korea.
Kihoon HanDepartment of Neuroscience, Korea University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-5925-2152

Funding

Institute for Basic ScienceKorea Basic Science Institute (KBSI)Korea Institute of Science and Technology InformationNational Research Foundation of Korea (NRF)
6 · The paper itself

Abstract

Neurodevelopmental disorders can have long-lasting effects, causing not only early pediatric symptoms but also a range of neurological issues throughout adulthood. West syndrome is a severe neurodevelopmental disorder marked by infantile spasms, an early symptom that typically subsides with age. However, many patients progress to other seizure forms, known as seizure evolution, which is closely linked to poor long-term outcomes. Despite its clinical significance, the neurobiological mechanisms behind seizure evolution in West syndrome remain poorly understood. Recent genetic studies have consistently identified the CYFIP2 p.Arg87Cys variant in West syndrome patients, and the Cyfip2+/R87C mouse model carrying this mutation has been shown to recapitulate key symptoms of the disorder, including infantile spasms. In this study, we aimed to gain deeper insight into seizure evolution by conducting longitudinal deep phenotyping of the Cyfip2+/R87C mouse model from the neonatal stage to seven months of age. We tracked seizure activity through behavioral and EEG recordings and employed multi-omic analyses, including tissue and single-cell level transcriptomics, ultrastructural analysis, proteomics, and lipidomics, to capture a comprehensive view of molecular and cellular changes. Our results showed that after an initial period of neonatal spasms, Cyfip2+/R87C mice entered a seizure-free phase, followed by spontaneous recurrent seizures in adulthood, ultimately leading to premature death. This progression was associated with synaptic remodeling, sequential activation of different glial cell types, lipid droplet accumulation in astrocytes, and significant proteomic and lipidomic changes in the brain. These findings suggest that seizure evolution in West syndrome involves complex, time-dependent interactions between neurons and glial cells, along with alterations in lipid metabolism. Our study highlights the potential of longitudinal multi-omic approaches to uncover underlying mechanisms of seizure evolution and suggests that targeting these changes could offer novel therapeutic strategies. Additionally, the dataset generated here may provide valuable insights for other epilepsy and neurodevelopmental disorder models.

Indexed as

GliosisLipid MetabolismSeizuresSpasms, InfantileSynapsesAnimalsBrainDisease Models, AnimalElectroencephalographyFemaleHumansMaleMiceMice, Inbred C57BL

Identifiers

PMID41066510
PMCPMC12520403

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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.