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利用生物标志物预测急性缺血性脑卒中恶性病程:一项观察性病例对照研究。

Use of biomarkers for predicting a malignant course in acute ischemic stroke: an observational case-control study.

机构信息

Medical School of Universidade Federal de Minas Gerais, Prof. Alfredo Balena Avenue, 190, Belo Horizonte, 30130-100, Brazil.

Medical School of Universidade Estadual de Campinas, R. Vital Brasil, 251, Cidade Universitária, Campinas, 13083-888, Brazil.

出版信息

Sci Rep. 2023 Sep 26;13(1):16097. doi: 10.1038/s41598-023-43408-z.

Abstract

Acute ischemic stroke is a sudden neurological event caused by brain ischemia. Patients with large vessel occlusion are at high risk of developing significant cerebral edema, which can lead to rapid neurological decline. The optimal timing for decompressive hemicraniectomy to prevent further brain damage is still uncertain. This study aimed to identify potential predictors of severe brain edema. The data indicate that specific cytokines may help identify patients with a higher risk of developing life-threatening brain swelling in the early phase post-stroke. The association between a positive biomarker and the outcome was calculated, and three biomarkers-S100B protein, MMP-9, and IL-10-were found to be significantly associated with malignant edema. A model was derived for early predicting malignant cerebral edema, including S100B protein and IL-1 beta. These findings suggest that molecular biomarkers related to the ischemic cascade may be a helpful way of predicting the development of malignant cerebral edema in ischemic stroke patients, potentially widening the time window for intervention and assisting in decision-making. In conclusion, this study provides insights into the molecular mechanisms of severe brain edema and highlights the potential use of biomarkers in predicting the course of ischemic stroke.

摘要

急性缺血性脑卒中是由脑缺血引起的突发性神经事件。大血管闭塞的患者发生显著脑水肿的风险较高,可能导致神经功能迅速恶化。减压性去骨瓣减压术预防进一步脑损伤的最佳时机仍不确定。本研究旨在确定严重脑水肿的潜在预测因子。数据表明,特定的细胞因子可能有助于识别在中风后早期具有发生危及生命的脑肿胀风险的患者。计算了阳性生物标志物与结果之间的关联,发现 S100B 蛋白、MMP-9 和 IL-10 三种生物标志物与恶性水肿显著相关。建立了一个早期预测恶性脑水肿的模型,包括 S100B 蛋白和 IL-1β。这些发现表明,与缺血级联相关的分子生物标志物可能是预测缺血性脑卒中患者恶性脑水肿发展的一种有用方法,可能会拓宽干预的时间窗口并辅助决策。总之,本研究深入探讨了严重脑水肿的分子机制,并强调了生物标志物在预测缺血性脑卒中病程中的潜在用途。

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