Serotonin Associated Mechanisms in Sudden Unexpected Death in Epilepsy: A Review.

Beixu Li, Wenrui Zhao, Junyi Lin, Yue Chen, Ru Zhou, Kaijun Ma, Youxin Fang

Abstract readReview

In one paragraph

Review in Revista de neurologia, 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

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

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

7 authors.

Beixu LiSchool of Forensic Science, Shanghai University of Political Science and Law, 201701 Shanghai, China.

Wenrui ZhaoSchool of Forensic Medicine and Science, Fudan University, 200032 Shanghai, China.

Junyi LinSchool of Forensic Medicine and Science, Fudan University, 200032 Shanghai, China.

Yue ChenSchool of Forensic Medicine and Science, Fudan University, 200032 Shanghai, China.

Ru ZhouDepartment of General Surgery, Ruijin Hospital Luwan Branch, School of Medicine, Shanghai Jiaotong University, 200020 Shanghai, China.

Kaijun MaShanghai Key Laboratory of Crime Scene Evidence, Institute of Forensic Science, Shanghai Public Security Bureau, 200083 Shanghai, China.

Youxin FangDepartment of Neurology, Minhang Hospital, Fudan University, 201100 Shanghai, China.

Funding

2026 Industry-Education-Research Collaborative Education Team of Shanghai University of Political Science and Law2026 Minhang Hospital Institutional Research Project 2026MHXM09High-Level Specialist Core Physician Training Program under the Minhang District Med-Edu-Research Integrated Health Service System 2024-2027 2024MZYS10

6 · The paper itself

Abstract

Sudden Unexpected Death in Epilepsy (SUDEP) is the leading cause of death in patients with epilepsy (PWE), although the mechanisms are unclear. Early studies have shown that abnormal cardiopulmonary function plays a key role in SUDEP. Cardiopulmonary activity is regulated by the autonomic nervous system. Serotonin (5-hydroxytryptamine or 5-HT) neurons significantly influence respiration and are also closely related to epilepsy. Therefore, serotonin is hypothesized to be involved in SUDEP, and a substantial amount of research has focused on it. Notably, serotonin signals through at least 14 known receptor subtypes, with preclinical data suggesting a particular involvement of the 5-HT

Indexed as

Death, SuddenEpilepsySerotoninSudden Unexpected Death in EpilepsyAnimalsHumansMiceReceptors, SerotoninReceptors, SerotoninSerotonin5-HTautonomic nervous systemepilepsyserotoninsudden unexpected death in epilepsy

Identifiers

PMID41914335

DOI10.31083/RN45871

PMCPMC13036788

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.