Evidence map›Paper›PMID 41674657›Full record

ArticleGenes & diseases2026

Multiomic insights into the MPO-mediated NET formation pathway in alcohol-induced epilepsy risk.

Ningning Zhang, Sirui Chen, Jialing Jiang, Hong Jiang, Qing Wang, Srikrishnan Raju, Jackson G Schumacher, Jiliang Lu, Yihe Lian, Yuansong Zhang and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes & diseases, 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

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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

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

19 authors.

Ningning ZhangThe Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu 730030, China.
Sirui ChenThe Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu 730030, China.
Jialing JiangCQMU-University of Leicester Joint Institute, Chongqing Medical University, Chongqing 400016, China.
Hong JiangDepartment of Geriatrics, Laboratory of Research and Translation for Geriatric Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Qing WangDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA.
Srikrishnan RajuDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA.
Jackson G SchumacherDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA.
Jiliang LuDepartment of Dermatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China.
Yihe LianDepartment of Geriatrics, Laboratory of Research and Translation for Geriatric Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Yuansong ZhangDepartment of Geriatrics, Laboratory of Research and Translation for Geriatric Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Yuanhang XuThe Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu 730030, China.
Lan ZhangThe Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu 730030, China.
Yaqing LiuThe Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu 730030, China.
Junqiang LiThe Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu 730030, China.
Yiru ZhangThe First Clinical Medical College, Chongqing Medical University, Chongqing 400016, China.
Yuxuan WangThe First Clinical Medical College, Chongqing Medical University, Chongqing 400016, China.
Yixue GuDepartment of Epilepsy Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Tiancheng WangThe Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu 730030, China.
Xin TianDepartment of Geriatrics, Laboratory of Research and Translation for Geriatric Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epilepsy is a highly prevalent chronic central nervous system disorder that imposes substantial societal and economic burdens. Inconsistent associations of alcohol consumption, identified as a major global health risk factor, with epilepsy risk have been reported. The aim of the present study was to assess the relationship between alcohol use and epilepsy and to identify potential underlying mechanisms, with a particular focus on the role of neutrophil extracellular traps (NETs), using an integrated multiomic approach. We assessed the global risk of alcohol consumption for epilepsy using data from the Global Burden of Disease Study 2021, and we conducted a Mendelian randomization (MR) analysis to evaluate causality. Additionally, we employed machine learning algorithms and protein-protein interaction networks to identify key genes. Our results indicate that alcohol consumption significantly contributes to the risk of epilepsy, as confirmed by MR analysis (odds ratio = 1.30, 95% confidence interval 1.06-1.60;

Indexed as

Alcohol consumptionEpilepsyMPOMultiomic analysisNET formation pathway

Identifiers

PMID41674657
PMCPMC12886535

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.