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相关概念视频

Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

749
Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
749
Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers01:19

Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers

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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.
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
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Updated: Jan 7, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
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生物标志物 生物标志物

John Nguyen1, Tara Riddle2,3, Daniel A Llano4

  • 1Clinical Imaging Research, Carle Foundation Hospital, Urbana, IL, USA.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 25, 2025
PubMed
概括
此摘要是机器生成的。

主观认知衰退 (SCD) 显示了大脑活动模式的改变. 在SCD大脑中的区域同质性 (ReHo) 可以高准确地预测未来的阿尔茨海默病评估等级分数.

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科学领域:

  • 神经成像是一种神经成像.
  • 阿尔茨海默氏症疾病研究研究
  • 大脑的连接性 大脑的连接性

背景情况:

  • 主观认知衰退 (SCD) 代表了早期阿尔茨海默病 (AD) 症状而没有客观认知障碍.
  • 在SCD中表征微妙的大脑变化对于预测AD进展至关重要.

研究的目的:

  • 调查SCD和健康对照 (HC) 个体之间静止状态大脑活动的差异.
  • 使用神经影像特征开发未来SCD认知衰退的预测模型.

主要方法:

  • 分析了来自70名SCD和100名HC参与者的纵向MRI和ADAS-Cog数据.
  • 休息状态fMRI数据被处理为计算3D区域均性 (ReHo).
  • 一个普通的最小平方回归模型使用基线ReHo和临床数据预测了未来的ADAS-Cog得分.

主要成果:

  • 与HC相比,SCD个体表现出额头/背ReHo降低和时间ReHo增加.
  • ReHo与特定大脑区域的认知衰退相关,包括胰岛,叶和顶叶.
  • 预测模型在4年的ADAS-Cog得分中实现了0.72的r2,单独超过了基线临床得分 (r2=0.64).

结论:

  • 静止状态ReHo揭示了SCD中独特的神经同步模式.
  • 这些ReHo特征有可能改善早期AD轨迹的长期预测.
  • 像ReHo这样的神经成像标记可以提高主观认知衰退的个体的监测和管理.