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 Background RP5-833A20.1, DYNLRB2-2, and APOA1 antisense are pivotal in atherosclerotic plaque pathogenesis. This study examined whether changes in these circulating lncRNAs could serve as biomarkers for high-risk ischemic stroke (IS) patients with intracranial atherosclerotic disease (ICAD). Methods Sixty-three IS patients, presenting within the first 24 h after stroke onset, and 60 controls were included in the study. The circulating levels of RP5-833A20.1, DYNLRB2-2, and APOA1 antisense in IS patients were assessed using real-time polymerase chain reaction (RT-PCR). Results Significant decreases in the circulating levels of DYNLRB2-2 and RP5-833A20.1 were observed in IS patients compared to controls ( P < 0.05). However, no significant difference in APOA1 antisense levels was noted between the two groups. Subgroup analysis revealed higher RP5-833A20.1 expression in IS patients with lower National Institutes of Health Stroke Scale (NIHSS) scores (0–6) compared to those with higher scores (3.59 ± 0.783 vs. 1.05 ± 0.505, P = 0.006). After adjusting for relevant covariates, multiple logistic regression indicated an inverse association between RP5-833A20.1 and the risk of IS (adjusted OR = 0.846, P = 0.028). Linear regression analyses further demonstrated a negative correlation between RP5-833A20.1 expression and NIHSS (beta = − 0.398, P = 0.006), which was confirmed by a significant negative Spearman correlation ( r = − 0.41, P = 0.0007). DYNLRB2-2 exhibited a non-significant negative relationship with NIHSS. Conclusion The findings suggest a significant decrease in the circulating levels of RP5-833A20.1 and DYNLRB2-2 in IS patients with ICAD, potentially indicating a protective effect against ischemic stroke. These lncRNAs hold promise as valuable biomarkers for identifying high-risk IS patients, emphasizing the need for further exploration and validation in larger cohorts to elucidate their roles in IS pathogenesis and clinical applications.
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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