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Ryanodine receptor inhibitor dantrolene reduces hypoxic-ischemic brain injury in neonatal mice
Abstract
Ryanodine receptors (RyR) located on the membrane of the endoplasmic reticulum (ER), are a potent regulator of intracellular calcium levels upon activation. Dysregulated Ca 2+ homeostasis is characteristic of hypoxic-ischemic (HI) brain injury and ultimately leads to neurodegeneration. RyRs have thereby been implicated in the Ca 2+ imbalance that occurs during and after HI. In this study, we investigated the effects of RyR antagonist, dantrolene, on HI brain injury in neonatal mice. We found that administration of dantrolene (i.p.) on postnatal day 7 mice reduced the infarction volume and morphological damage induced by HI, and improved functional recovery as assessed by neurobehavioral testing. The neuroprotective effect of dantrolene was further demonstrated in neuronal cell culture in vitro, where dantrolene significantly reduced oxygen-glucose deprivation (OGD)-induced cell death. Fura-2 calcium imaging confirmed that dantrolene reduced the intracellular calcium level in cultured cortical neurons in vitro. Finally, Western blot analysis showed that dantrolene treatment reduced cleaved caspase-3 and -9 apoptotic proteins, and elevated pro-survival protein kinase C (PKC) protein levels. Taken together, our results demonstrate that dantrolene exerts neuroprotective effects against neonatal HI brain injury. This suggests that RyRs play a role in mediating the ionic imbalance induced by HI and therefore represent a potential target for drug development.
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“Short-term neurobehavioral tests were applied 24 h after HI injury by observers who were blind to the experiments [18].”
From Engineered Extracellular Vesicles Loaded with MiR-100-5p Antagonist Selectively Target the Lesioned Region to Promote Recovery from Brain Damage (2025) · cites this paper as [18]
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Cited by
Cheng, Y., Gai, C., Zhao, Y., Li, T., Song, Y., Luo, Q., Xin, D., Jiang, Z., Chen, W., Liu, D., et al. (2025) · Neuroscience Bulletin · doi:10.1007/s12264-025-01376-6 · Cited by 5
Metadata
- Authors
- Ovcjak, A., Xiao, A., Kim, J.-S., Xu, B., Szeto, V., Turlova, E., Abussaud, A., Chen, N.-H., Miller, S. P., Sun, H.-S., & Feng, Z.-P.
- Venue
- Experimental Neurology
- Publisher
- Elsevier BV
- Published
- 2022-05
- Volume
- 351
- Pages
- 113985
- ISSN
- 0014-4886
- Cited by
- 16
- References
- 103
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.