Evidence map›Paper›PMID 41253148›Full record

ArticleCell reports. Medicine2025

Plasma proteomics identifies proteins and pathways associated with incident epilepsy.

Dandan Zhang, Ziyi Wang, Yi Zhang, Qizheng Hao, Peiyang Gao, Zeyu Li, Xiaoyu He, Yujie Zhao, Wei Cheng, Jianfeng Feng and 2 more

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PubMed Full text at PMC Publisher
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Article in Cell reports. Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

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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

12 authors.

Dandan ZhangDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao 266071, P.R. China.
Ziyi WangDepartment of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai 200040, P.R. China.
Yi ZhangDepartment of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai 200040, P.R. China.
Qizheng HaoInstitute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai 200040, P.R. China.
Peiyang GaoDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao 266071, P.R. China; Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing 100053, P.R. China.
Zeyu LiInstitute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai 200040, P.R. China.
Xiaoyu HeDepartment of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai 200040, P.R. China.
Yujie ZhaoInstitute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai 200040, P.R. China.
Wei ChengDepartment of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai 200040, P.R. China; Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai 200040, P.R. China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai 200040, P.R. China.
Jianfeng FengInstitute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai 200040, P.R. China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai 200040, P.R. China.
Lan TanDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao 266071, P.R. China. Electronic address: dr.tanlan@163.com.
Jintai YuDepartment of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai 200040, P.R. China. Electronic address: jintai_yu@fudan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical diagnosis of epilepsy is predominantly based on history taking, morbidity records, and imaging during seizures. The emergence of proteomics has enhanced disease marker detection and potential drug target identification. We perform a longitudinal survival analysis of 2,920 plasma proteins and epilepsy onset, utilizing plasma proteome data from 52,372 UK Biobank participants (440 incident cases). We identify 103 proteins with significant associations with epilepsy, with neurofilament light polypeptide (NEFL) (hazard ratio [HR] [95% confidence interval (CI)]: 2.13 [1.85-2.46]) and growth differentiation factor 1 (GDF15) (1.82 [1.60-2.07]) exhibiting the strongest correlations. Enrichment and network analyses uncovered the pivotal role of the immune response and pinpointed four central hubs. Furthermore, 103 screened proteins are significantly associated with brain regions implicated in epileptogenesis and show stronger correlation with stress-related events than genetic predisposition. We investigate the predictive ability of top-ranked proteins for future epilepsy risk and their potential as drug targets. These findings are crucial for identifying early biomarkers and optimizing therapeutic strategies.

Indexed as

Blood ProteinsEpilepsyProteomicsAdultAgedBiomarkersFemaleGrowth Differentiation Factor 15HumansIncidenceMaleMiddle AgedNeurofilament ProteinsProteomeBiomarkersBlood ProteinsGDF15 protein, humanGrowth Differentiation Factor 15neurofilament protein LNeurofilament ProteinsProteomeepilepsymachine learningplasma proteinsprediction

Identifiers

PMID41253148
PMCPMC12765828

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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.