Evidence map›Paper›PMID 36905568›Full record

ArticleMolecular neurobiology2023

Network Pharmacology Prediction and Experimental Verification for Anti-Ferroptosis of Edaravone After Experimental Intracerebral Hemorrhage.

Suhan Cao, Jiating Wei, Yuangui Cai, Zhiyi Xiong, Jianle Li, Zimu Jiang, Xueling Zhou, Baozi Huang, Jinsheng Zeng

Abstract read
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In one paragraph

Article in Molecular neurobiology, 2023. 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
2.1field-weighted citation impact, top 13% of its field
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, 10 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Suhan CaoDepartment of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department of Key Discipline of Neurology, Southern China International Cooperation Base for Early Intervention and Functional Rehabilitation of Neurological Diseases, No.58 Zhongshan Road 2, Guangzhou, 510080, China.
Jiating WeiDepartment of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department of Key Discipline of Neurology, Southern China International Cooperation Base for Early Intervention and Functional Rehabilitation of Neurological Diseases, No.58 Zhongshan Road 2, Guangzhou, 510080, China.
Yuangui CaiDepartment of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department of Key Discipline of Neurology, Southern China International Cooperation Base for Early Intervention and Functional Rehabilitation of Neurological Diseases, No.58 Zhongshan Road 2, Guangzhou, 510080, China.
Zhiyi XiongDepartment of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department of Key Discipline of Neurology, Southern China International Cooperation Base for Early Intervention and Functional Rehabilitation of Neurological Diseases, No.58 Zhongshan Road 2, Guangzhou, 510080, China.
Jianle LiDepartment of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department of Key Discipline of Neurology, Southern China International Cooperation Base for Early Intervention and Functional Rehabilitation of Neurological Diseases, No.58 Zhongshan Road 2, Guangzhou, 510080, China.
Zimu JiangDepartment of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department of Key Discipline of Neurology, Southern China International Cooperation Base for Early Intervention and Functional Rehabilitation of Neurological Diseases, No.58 Zhongshan Road 2, Guangzhou, 510080, China.
Xueling ZhouDepartment of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department of Key Discipline of Neurology, Southern China International Cooperation Base for Early Intervention and Functional Rehabilitation of Neurological Diseases, No.58 Zhongshan Road 2, Guangzhou, 510080, China.
Baozi HuangDepartment of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department of Key Discipline of Neurology, Southern China International Cooperation Base for Early Intervention and Functional Rehabilitation of Neurological Diseases, No.58 Zhongshan Road 2, Guangzhou, 510080, China.
Jinsheng ZengDepartment of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department of Key Discipline of Neurology, Southern China International Cooperation Base for Early Intervention and Functional Rehabilitation of Neurological Diseases, No.58 Zhongshan Road 2, Guangzhou, 510080, China. zengjsh@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0003-4280-0439
Sun Yat-sen University · CN

Funding

Guangdong Provincial Clinical Research Center for Neurological Diseases 2020B1111170002Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases 2017B030314103Natural Science Foundation of China 81771137, 81971103Natural Science Foundation of China 82130035Southern China International Cooperation Base for Early Intervention and Functional Rehabilitation of Neurological Diseases 2015B050501003Sun Yat-sen University 2018001the Scientific and Technical Project of Guangdong Province 2017A030303011
6 · The paper itself

Abstract

Neuronal ferroptosis plays an important role in secondary brain injuries after intracerebral hemorrhage (ICH). Edaravone (Eda) is a promising free radical scavenger that inhibits ferroptosis in neurological diseases. However, its protective effects and underlying mechanisms in ameliorating post-ICH ferroptosis remain unclear. We employed a network pharmacology approach to determine the core targets of Eda against ICH. Forty-two rats were subjected to successful striatal autologous whole blood injection (n=28) or sham operation (n=14). The 28 blood-injected rats were randomly assigned to either the Eda or vehicle group (n=14) for immediate administration and then for 3 consecutive days. Hemin-induced HT22 cells were used for in vitro studies. The effects of Eda in ICH on ferroptosis and the MEK/ERK pathway were investigated in vivo and in vitro. Network pharmacology-based analysis revealed that candidate targets of Eda-treated ICH might be related to ferroptosis; among which prostaglandin G/H synthase 2 (PTGS2) was a ferroptosis marker. In vivo experiments showed that Eda alleviated sensorimotor deficits and decreased PTGS2 expression (all p<0.05) after ICH. Eda rescued neuron pathological changes after ICH (increased NeuN

Indexed as

Brain InjuriesHeminAnimalsCerebral HemorrhageCyclooxygenase 2EdaravoneMitogen-Activated Protein Kinase KinasesNetwork PharmacologyRatsCyclooxygenase 2EdaravoneHeminMitogen-Activated Protein Kinase KinasesCerebral hemorrhageEdaravoneFerroptosisMAPK signaling pathwayNetwork pharmacology

Identifiers

PMID36905568
OpenAlexW4323920972

What OpenQuestion holds

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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.