Sevoflurane and Desflurane Exposures Following Aneurysmal Subarachnoid Hemorrhage Confer Multifaceted Protection against Delayed Cerebral Ischemia.
Keshav JayaramanMeizi LiuGregory J ZipfelUmeshkumar AthiramanPublished in: Biomedicines (2021)
Numerous studies have demonstrated the ability of isoflurane conditioning to provide multifaceted protection against aneurysmal subarachnoid hemorrhage (SAH)-associated delayed cerebral ischemia (DCI); however, preclinical studies have not yet examined whether other commonly used inhalational anesthetics in neurological patients such as sevoflurane or desflurane are also protective against SAH-induced neurovascular deficits. We therefore sought to identify the potential for sevoflurane and desflurane conditioning to protect against DCI in an endovascular perforation mouse model of SAH. Neurological function was assessed daily via neuroscore. Large artery vasospasm and microvessel thrombosis were assessed three days after SAH or sham surgery. Four groups were examined: Sham, SAH + room air, SAH + 2% Sevoflurane, and SAH + 6% Desflurane. For the SAH groups, one hour after surgery, mice received 2% sevoflurane, 6% desflurane, or room air for one hour. We found that conditioning with sevoflurane or desflurane attenuated large artery vasospasm, reduced microvessel thrombosis, and improved neurologic function. Given their frequent clinical use and strong safety profile in patients (including those with SAH), these data strongly support further studies to validate these findings in preclinical and clinical studies and to elucidate the mechanisms by which these agents might be acting.
Keyphrases
- cerebral ischemia
- subarachnoid hemorrhage
- brain injury
- blood brain barrier
- newly diagnosed
- ejection fraction
- mouse model
- pulmonary embolism
- minimally invasive
- type diabetes
- clinical trial
- metabolic syndrome
- air pollution
- physical activity
- coronary artery disease
- acute coronary syndrome
- risk assessment
- mesenchymal stem cells
- climate change
- skeletal muscle
- double blind
- insulin resistance
- big data
- human health
- data analysis