인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Cardiac arrest (CA) is one of the most common illnesses worldwide. Post-CA brain injury (PCABI) is a major cause of death and poor recovery in CA patients and the current CA treatments are not very effective. The microbiome-gut-brain axis has been found to significantly affect brain ischemia injury. Furthermore, in ischemic stroke patients, short-chain fatty acids (SCFA), especially sodium butyrate (SB), have been observed to promote neuroprotective effects by modulating inflammatory response and microglial polarization in the cortex. However, the precise mechanism of SB on CA-induced injury remains elusive. Therefore, this research study established an oxygen-glucose deprivation and reoxygenation (OGD/R) model using BV-2 microglial and HT22 cells to simulate cerebral ischemia/reperfusion injury in vitro and a potassium chloride-induced CA mouse model to mimic CA in vivo. The data revealed that SB markedly improved neurological scores and reduced neuronal death and apoptosis. Moreover, it reduced M1 microglia and neuroinflammation in CA mice. In addition, SB increased intestinal integrity and alleviated systemic inflammation. The 16S rDNA sequencing analysis indicated that SB intervention mitigated CA-induced gut microbiota dysbiosis and SCFA depletion. It was also observed that CA mice's brain and OGD/R-exposed BV2 cells had substantially increased levels of MyD88, phosphorylated NF-κB p65, and TLR4 proteins, which were reduced after SB treatment. In summary, this study revealed that SB can protect against cerebral ischemia-reperfusion injury by controlling microglia polarization and microbiome-gut-brain axis to inhibit brain inflammation via the TLR4/MyD88/NF-κB pathway.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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