2023年4月14日
This protocol demonstrates a unique mouse model of asphyxia cardiac arrest that does not require chest compression for resuscitation. This model is useful for monitoring and imaging the dynamics of brain physiology during cardiac arrest and resuscitation.
Cardiac arrest affects over half a million people in the US every year, leading to impaired neurological function primarily caused by hypoxic-ischemic brain injury. To develop better treatments, we aim to understand how cardiac arrest affects brain physiology, including microcirculatory blood flow and oxygen use, through experimental research. Advanced imaging and the monitoring methods have been established to investigate the cerebral blood flow after cardiac arrest.
However, obtaining a complete image of cerebral circulation during cardiac arrest and early resuscitation remains challenging. Our protocol involves simulating clinical asphyxia-induced cardiac arrest in mice, followed by recitation without chest compressions. This model enables the use of advanced imaging methods to study brain physiology in mice throughout the cardiac arrest process.
This model does not require complex surgical interventions, and is relatively easier to perform. More importantly, during cardiac arrest and resuscitation, animals can be kept in prone proposition with minimal animal movement, which greatly facilitates the use of various imaging modalities. The impact of cardiac arrest and its treatment strategies, such as epinephrine administration, brain hemodynamics and the neurological function, is not yet fully understood.
Our mouse model is ideal for investigating the dynamic alterations in brain circulation, vascular responses, and brain tissue oxygenation that occur during a cardiac arrest and resuscitation.
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本研究介绍了一种窒息性心脏骤停的小鼠模型,该模型无需胸外按压即可实现对脑生理学的监测。该模型支持利用先进成像技术探索心脏骤停期间及后续复苏过程中的脑部动态变化。
在心脏骤停和复苏期间能够实现大脑实时成像的可靠临床前模型,对于降低生物制药研发中神经保护策略的风险至关重要。该小鼠窒息性心脏骤停模型支持对脑血流、血管动态变化及氧合状态的机制性探究,可直接为靶点验证和转化生物标志物的开发提供依据。其简化的操作流程以及与先进成像技术的兼容性,使其成为早期发现研究和临床前管线整合的可重复使用平台。
该模型通过在心脏骤停和复苏期间实现对脑生理学的实时、定量评估,弥合了早期发现与临床前验证之间的鸿沟。