Evidence map›Paper›PMID 40217352›Full record

ArticleActa epileptologica2025

Alternations in morphometric similarity network in mesial temporal epilepsy correlate to neuroinflammatory pathway gene transcriptions.

Lu Lu, Chenyang Zhao, Weihao Liao, Peiyu Wang, Yingying Zhang, Dongmei An, Xintong Wu, Hesheng Zhang, Ping Jiang, Yaohui He and 11 more

Abstract read
In one paragraph

Article in Acta epileptologica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

21 authors.

Lu LuDepartment of Neurology, & Institute of Brain Science and Brain-Inspired Technology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Chenyang ZhaoDepartment of Neurology, & Institute of Brain Science and Brain-Inspired Technology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Weihao LiaoDepartment of Neurology, & Institute of Brain Science and Brain-Inspired Technology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Peiyu WangDepartment of Neurology, & Institute of Brain Science and Brain-Inspired Technology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Yingying ZhangDepartment of Neurology, & Institute of Brain Science and Brain-Inspired Technology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Dongmei AnDepartment of Neurology, & Institute of Brain Science and Brain-Inspired Technology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Xintong WuDepartment of Neurology, & Institute of Brain Science and Brain-Inspired Technology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Hesheng ZhangDepartment of Neurology, & Institute of Brain Science and Brain-Inspired Technology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Ping JiangDepartment of Radiology, West China Hospital, Sichuan University, Sichuan Province, Chengdu, 610041, China.
Yaohui HeThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Jinpeng NiuThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Wei LiThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Kangjia ChenThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Su LuiDepartment of Radiology, West China Hospital, Sichuan University, Sichuan Province, Chengdu, 610041, China.
Yu ZhaoDepartment of Radiology, West China Hospital, Sichuan University, Sichuan Province, Chengdu, 610041, China.
Qiyong GongDepartment of Radiology, West China Hospital, Sichuan University, Sichuan Province, Chengdu, 610041, China.
Bo WangState Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, University of the Chinese Academy of Sciences, Beijing, 100101, China.
Wei LiaoThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Josemir W SanderDepartment of Neurology, & Institute of Brain Science and Brain-Inspired Technology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Lin ChenDepartment of Neurology, & Institute of Brain Science and Brain-Inspired Technology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. lchen@ibp.ac.cn.
Dong ZhouDepartment of Neurology, & Institute of Brain Science and Brain-Inspired Technology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. zhoudong66@yahoo.de.ORCID http://orcid.org/0000-0001-7101-4125

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMesial temporal lobe epilepsy (mTLE) is the most common form of focal epilepsy, often associated with hippocampal sclerosis. Increasing evidence suggests the pivotal role of neuroinflammation in mTLE onset and progression.

methodsWe used morphometric similarity network (MSN) analysis and the Allen Human Brain Atlas (AHBA) database to investigate structural changes between mTLE and healthy controls, as well as correlation with inflammation-related gene expression.

resultsWe identified widespread alterations across the frontal and parietal lobes and cingulate cortex linked to neuroinflammatory genes such as PRR5, SMAD3, and IRF3. This correlation was even more pronounced in mTLE patients with hippocampal sclerosis compared to those without. Enrichment analysis highlighted pathways related to neurodevelopment and neurodegeneration, supporting a bidirectional link between mTLE and neurodegenerative diseases.

conclusionsThese findings suggest that brain-wide macroscopic morphometric alternations in mTLE are correlated to the neuroinflammation process. It provides circumstantial evidence from a new perspective to support the bidirectional link between mTLE and neurodegenerative diseases.

Indexed as

Allen Human Brain AtlasHippocampus sclerosisImaging transcriptome analysis

Identifiers

PMID40217352
PMCPMC11960352

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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.