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
Abstract Objectives The widespread use of propofol, fentanyl, and midazolam in intensive care units necessitates a thorough understanding of their potential toxic effects. These sedative-hypnotic agents are frequently administered in combination to manage critically ill patients, raising concerns about their cumulative toxicity. To address this, we investigated the cytotoxic and genotoxic effects of these drugs, both individually and in combination, on a human liver epithelial cell line (THLE-2). The liver, as a major organ involved in drug metabolism, is particularly vulnerable to drug-induced toxicity. By evaluating the impact of these agents on liver cells, we aim to gain insights into their potential adverse effects and inform clinical practice. Methods Cells were treated with increasing concentrations of each drug, as well as with their combination, over a 72 h incubation period. Cell viability, oxidative stress, antioxidant defense mechanisms and apoptotic activity and potential genotoxicity were explored using various assays. Results A dose dependent increase in cytotoxicity, intracellular reactive oxygen species production, apoptotic activity, and DNA damage were detected in all treatment groups (p<0.05). Higher concentrations of the study drugs were associated with marked increases in oxidative stress and apoptotic markers. There was a concomitant reduction in intracellular glutathione levels, suggesting a depletion of the cells’ antioxidant defenses. When these drugs were administered in combination, the cytotoxic and genotoxic effects appeared to be mitigated, indicating a potential protective interaction between these agents, particularly involving midazolam. Conclusions The study drugs caused dose-dependent hepatotoxicity, induced DNA damage and apoptosis and consequently decreased cell viability.
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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