Evidence map›Paper›PMID 40533803›Full record

ReviewBiomarker research2025

Multi-omics: a bridge connecting genotype and phenotype for epilepsy?

Nan-Nan Wang, Fei Cao, Lin-Han Zhang, Yi-Fei Zheng, Da Xu

Abstract readReview
In one paragraph

Review in Biomarker research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
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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

5 authors.

Nan-Nan Wang *Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China.
Fei Cao *Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China.
Lin-Han ZhangDepartment of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China.
Yi-Fei ZhengDepartment of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China.
Da XuDepartment of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province, 430022, China. 498688793@qq.com.

Funding

Beijing Medical Award Foundation yxjl-2022-0351-0432
6 · The paper itself

Abstract

Epilepsy is a collection of neurological disorders characterized by abnormal neuronal discharges, resulting in spontaneous and recurrent unprovoked seizures. Despite the use of over 20 anti-seizure drugs, conventional one-size-fits-all approaches are insufficient to meet the needs of all patients, and about 1/3 patients developed drug-resistant epilepsy. Recently, the establishment of precision medicine-based clinical management for epilepsy may bring new insights, especially omics-based approaches. Single omics approach is limited to addressing questions from a single molecular perspective. Whereas multi-omics approaches enable a comprehensive characterization of multiple molecules, revealing the complex molecular dysregulation networks underlying different epilepsy phenotypes. Furthermore, multi-omics methods have catalyzed a paradigm shift in scientific inquiry, transitioning from traditional hypothesis-driven types to data-driven research architectures. Despite the full potential of multi-omics research yet to be realized, its application in epilepsy holds great promise, from the discovery of epileptic biomarkers to personalized management. In this review, we performed a comprehensive overview of the omics technologies and multi-omics integration strategies, followed by an exploration of their role in enhancing the management of epilepsy treatment and care, hoping to provide new directions for future researches.

Indexed as

BiomarkersDrug targetEpilepsyMulti-omics approachesSingle-cell omicsSpatial omics

Identifiers

PMID40533803
PMCPMC12175374

What Socratic holds

Textmetadata
LicenceCC BY
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.