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 PMID:30872361  

Targeting MAPK phosphorylation of Connexin43 provides neuroprotection in stroke.

Moises Freitas-Andrade | Nan Wang | John F Bechberger | Marijke De Bock | Paul D Lampe | Luc Leybaert | Christian C Naus
The Journal of experimental medicine | 2019

Connexin43 (Cx43) function is influenced by kinases that phosphorylate specific serine sites located near its C-terminus. Stroke is a powerful inducer of kinase activity, but its effect on Cx43 is unknown. We investigated the impact of wild-type (WT) and knock-in Cx43 with serine to alanine mutations at the protein kinase C (PKC) site Cx43S368A, the casein kinase 1 (CK1) sites Cx43S325A/328Y/330A, and the mitogen-activated protein kinase (MAPK) sites Cx43S255/262/279/282A (MK4) on a permanent middle cerebral artery occlusion (pMCAO) stroke model. We demonstrate that MK4 transgenic animals exhibit a significant decrease in infarct volume that was associated with improvement in behavioral performance. An increase in astrocyte reactivity with a concomitant decrease in microglial reactivity was observed in MK4 mice. In contrast to WT, MK4 astrocytes displayed reduced Cx43 hemichannel activity. Pharmacological blockade of Cx43 hemichannels with TAT-Gap19 also significantly decreased infarct volume in WT animals. This study provides novel molecular insights and charts new avenues for therapeutic intervention associated with Cx43 function.

Pubmed ID: 30872361

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM055632
  • Agency: CIHR, Canada

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PRISM (tool)

RRID:SCR_005375

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5,2022.Tool that predicts interactions between transcription factors and their regulated genes from binding motifs. Understanding vertebrate development requires unraveling the cis-regulatory architecture of gene regulation. PRISM provides accurate genome-wide computational predictions of transcription factor binding sites for the human and mouse genomes, and integrates the predictions with GREAT to provide functional biological context. Together, accurate computational binding site prediction and GREAT produce for each transcription factor: 1. putative binding sites, 2. putative target genes, 3. putative biological roles of the transcription factor, and 4. putative cis-regulatory elements through which the factor regulates each target in each functional role.

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RRID:SCR_014713

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RRID:IMSR_JAX:000664

Mus musculus with name C57BL/6J from IMSR.

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C57BL/6J (tool)

RRID:IMSR_JAX:000664

Mus musculus with name C57BL/6J from IMSR.

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