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
Brain death (BD) induces a systemic inflammation impairing donor organ quality. Complement and Toll-like receptors (TLRs), with the key co-receptor CD14 molecule, are key innate recognition immune systems. We hypothesized that dual inhibition of complement (C5) and TLRs (CD14) will prevent BD-mediated innate immune inflammation. BD was induced in mice either untreated, treated with a C5 inhibitor, a CD14 inhibitor, or both. Blood and kidneys were collected after three hours. Cytokines were analyzed using enzyme-immuno assays and qPCR. In plasma, a substantial increase in interleukin-6 (IL-6), KC (IL-8 analogue), IL-12, monocyte chemoattractant protein (MCP-1), macrophage inflammatory protein MIP-1α, MIP-1β, eotaxin, RANTES and G-CSF (median 90-fold increase) were observed in BD animals compared to sham (all p < 0.01). In kidneys, BD substantially induced IL-6, KC, TNF, MCP-1, P-Selectin, and VCAM-1 (all p < 0.01). In plasma, C5 and CD14 inhibition, either single or in combination, virtually abolished all cytokines in the BD animals (> 90% for six cytokines and 70-90% for three) (all p < 0.01). In kidneys, the effect of inhibition was similar (> 90% for IL-6 and KC and 60-80% for TNF and MCP-1 (all p < 0.01). Single and combined inhibition of C5 and CD14 efficiently prevented BD-induced systemic inflammation and reduced local kidney inflammation in a mouse model.
#Systemic inflammation
#Inflammation
#Complement (music)
#Receptor
#CD14
#Complement system
#Complement component 3
#Toll-like receptor
#Medicine
#C5a receptor
#Component (thermodynamics)
#Complement component 5
#Microglia
#Immunology
#Biology
#Innate immune system
#Alternative complement pathway
#Immune system
#Gene
#Internal medicine
#Biochemistry
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.
최근 본 자료 전체보기
