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相关概念视频

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Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
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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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生物标志物 生物标志物

Aldana Lizarraga1, Michalis Kassinopoulos1, José María González-de-Echávarri1,2,3

  • 1Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.

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概括
此摘要是机器生成的。

在没有认知障碍的个体中,阿尔茨海默病 (AD) 生物标志物如Aβ42/40和p-tau181会影响大脑网络连接. 特定的网络模式可能有助于保持认知功能,尽管早期的AD病理.

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科学领域:

  • 神经科学是一个神经科学.
  • 大脑的连接性 大脑的连接性
  • 阿尔茨海默氏症疾病研究研究

背景情况:

  • 在早期阿尔茨海默病 (AD) 中观察到改变静止状态功能连接 (RSFC).
  • 来自RSFC网络的图表指标提供了对大脑组织的见解,但它们在早期AD功能障碍中的作用未得到充分研究.
  • 网络指标,AD生物标志物和认知衰退之间的关系需要进一步研究.

研究的目的:

  • 调查脑脊液 (CSF) AD生物标志物与认知不受损 (CU) 个体的大脑网络图表指标之间的关联.
  • 在网络指标上探索CSF生物标志物,性别和年龄之间的相互作用.
  • 检查这些相互作用对纵向认知变化的影响.

主要方法:

  • 分析了来自326个CU个体 (ALFA队列) 的RSFC数据.
  • 对CSF Aβ42,Aβ40和p-tau181水平的评估.
  • 从218个大脑区域的图表指标 (APL,LE,BC,CC,强度) 的计算,使用大脑图谱.
  • 线性回归模型和与认知测量 (PACC) 的相互作用分析.

主要成果:

  • 在背部注意网络 (DAN) 中,CSF Aβ42/40和p-tau181正面影响了中间中心性 (BC).
  • Aβ42/40和性别之间的相互作用影响了平均路径长度 (APL),接近中心性 (CC) 和默认模式网络 (DMN) 的强度.
  • Aβ42/40和DMN图表指标 (APL,LE,CC) 之间的相互作用预测了认知表现 (PACC) 的变化.

结论:

  • 溶性粉样蛋白-β和p-tau对CU个体的DAN信息流有相反的影响.
  • 较低的DMN整合和中心性可能会在早期AD病理存在时支持认知性.
  • 网络拓在早期的AD中起着至关重要的作用,有可能识别认知性干预的目标.