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Neuregulin 1 protects against ischemic brain injury via ErbB4 receptors by increasing GABAergic transmission

  • Y. F. Guan
    ,
  • C. Y. Wu
    ,
  • Y. Y. Fang
    ,
  • Y. N. Zeng
    ,
  • Z. Y. Luo
    ,
  • S. J. Li
*Corresponding author for this work
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

Identifying novel neuroprotectants that can halt or even reverse the effects of stroke is of interest to both clinicians and scientists. Neuregulin 1 (NRG1) is an effective neuroprotectant, but its molecular mechanisms are largely unclear. In this study, NRG1 rescued cortical neurons from oxygen-glucose deprivation (OGD) model, but the effect was blocked by neutralizing NRG1 and ErbB4 inhibition. In addition, γ-Aminobutyric acid (GABA) receptor agonists had no synergistic effect with NRG1, and the neuroprotective effect of NRG1 against OGD was partly blocked by GABA receptor antagonists. Importantly, NRG1 neuroprotection against brain ischemia was abolished in the mice with specific deletion of ErbB4 in parvalbumin (PV)-positive interneurons. In summary, NRG1 protects against ischemic brain injury via ErbB4 receptors by enhancing GABAergic transmission.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 151-159 (9 pages)

Journal (Volume, Issue Number)

Neuroscience (Volume 307)

Publication milestones

  • Published - 10/29/2015

Publication status

Published - 10/29/2015

ISSN

0306-4522

Publication IDs

  • Scopus: 84941029164
  • PubMed: 26318331

Publication metrics

Metrics

Scopus
citations
SciVal
FWCI
0.87
SciVal
Author count
10
SciVal
citations
19
SciVal
Paper percentile
82
Fractional count
1
Fractional count
0.10
Fractional count
9
Fractional count
0.90
Fractional count
1
Fractional count
1

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Captures
32
Citation count
38

Funding Details

This work was supported by the National Natural Science Foundation of China (grants 81030022 , 81329003 and U1201225 ), Guangzhou Science and Technology Project (grant 201300000093 ) and Specialized Research Fund for the Doctoral Program of Higher Education of China (grant 20134433130002 ).