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Updated: Aug 4, 2026

Lipidomics and Transcriptomics in Neurological Diseases
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通过机器学习方法在败血症相关脑病中识别和评估Lipocalin-2

Jia Hu1,2, Ziang Chen3,4, Jinyan Wang1,2

  • 1Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China.

Journal of inflammation research
|March 20, 2025
PubMed
概括

败血症相关脑病变 (SAE) 涉及由中性粒细胞触发的神经炎症. 利波卡林-2 (LCN2) 被确定为一个关键基因,其下调逆转了败血症小鼠的认知功能障碍.

关键词:
认知功能障碍 认知功能障碍利波卡林-2的使用情况机器学习是机器学习.神经炎症是一种神经炎症.败血症相关的脑病变一个单细胞RNA测序.

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Cardiac biomarkers are critical in diagnosing, prognosing, and managing cardiovascular diseases. Routine measurement of specific biomarkers such as B-type natriuretic peptide (BNP), C-reactive protein (CRP), and homocysteine (Hcy) is common practice in clinical settings to evaluate heart function and predict cardiovascular events.
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