Evidence map›Paper›PMID 41315611›Full record

ArticleScientific reports2025

Abnormal glycosylation changes in brain tissue of kainic acid-induced epileptic rats.

Guanyu Wang, Shaobo Liu, Gang Liu, Ning Fan, Wuhao Zhang, Weijie Dong, Jian Yin

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Guanyu Wang *Dalian Medical University, Dalian, 116044, Liaoning, China.
Shaobo Liu *Dalian Medical University, Dalian, 116044, Liaoning, China.
Gang Liu *Dalian Medical University, Dalian, 116044, Liaoning, China.
Ning FanDalian Medical University, Dalian, 116044, Liaoning, China.
Wuhao ZhangDalian Medical University, Dalian, 116044, Liaoning, China.
Weijie DongDalian Medical University, Dalian, 116044, Liaoning, China. wjdong@dmu.edu.cn.
Jian YinDalian Medical University, Dalian, 116044, Liaoning, China. JYIN@dmu.edu.cn.

Funding

Dalian Medical University Interdisciplinary Research Cooperation Project Team JCHZ2023013Doctoral research Foundation of Liaoning Province 2024-BS-179National Nature Science Foundation of China Research Grant 32171280
6 · The paper itself

Abstract

Epilepsy is a common neurological disorder characterized by recurrent unprovoked seizures. Despite significant progress in epilepsy research, about 30% of patients continue to experience uncontrolled seizures and clear diagnostic criteria remain elusive. Abnormal glycosylation contributes to various neurological disorders, including Alzheimer's and Parkinson's diseases. However, it is unclear whether protein glycosylation is altered in epilepsy. Herein, we established a chronic epilepsy rat model by injecting kainic acid solution into the right lateral ventricle and examined the changes in protein N-glycosylation and O-GlcNAcylation in rat brain tissues using mass spectrometry and lectin blotting. We found a significant reduction in complex N-glycan abundance in the hippocampal tissue of epileptic rats, which may be related to decreased MGAT1 expression. Additionally, we observed a marked decrease in protein O-GlcNAcylation, which may be associated with reduced levels of GFPT1, the rate-limiting enzyme in the hexosamine biosynthesis pathway. This research offers new insight into potential therapeutic strategies for epilepsy.

Indexed as

BrainEpilepsyKainic AcidAnimalsDisease Models, AnimalGlycosylationHippocampusMalePolysaccharidesRatsRats, Sprague-DawleyKainic AcidPolysaccharidesEpilepsyGFPT1MGAT1N-glycosylationO-GlcNAcylation

Identifiers

PMID41315611
PMCPMC12753757

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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 OpenQuestion graph.