Plasma proteomics identifies proteins and pathways associated with incident epilepsy

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.

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Journal
Cell Reports Medicine
Published
2025-11-20
DOI
https://doi.org/10.1016/j.xcrm.2025.102330
Primary Topic
GDF15 and Related Biomarkers
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article
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article

Plasma proteomics identifies proteins and pathways associated with incident epilepsy

Qinggang Hao, Pei‐Yang Gao, Jia You, Zeyu Li et al.
Cell Reports Medicine
GDF15 and Related Biomarkers
article

Plasma proteomics identifies proteins and pathways associated with incident epilepsy

Qinggang Hao, Pei‐Yang Gao, Jia You, Zeyu Li, Xiaoyu He, Jianfeng Feng, Lan Tan, Yujie Zhao, Wei Cheng, Dandan Zhang, Yi Zhang, Ziyi Wang
article en

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.

Cell Reports MedicineVol. 6(12)
Qingdao University (CN), Affiliated Hospital of Qingdao University (CN), Qingdao Municipal Hospital (CN), Huashan Hospital (CN), Shanghai Center for Brain Science and Brain-Inspired Technology (CN)
Openalex Percentile: Top 50%
GDF15 and Related Biomarkers
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