Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

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

516
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...
516

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

SVIP in plasma: a candidate blood-based biomarker for early detection of amnestic mild cognitive impairment.

Frontiers in aging neuroscience·2026
Same author

Multimetric brain functional-structural connectivity mutual coupling for mild cognitive impairment identification.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Hepatic Vessel Map (HVM): An Expert-Annotated CT Dataset for Clinically Applicable AI in Liver Vascular Segmentation and Surgical Planning.

Scientific data·2026
Same author

Development and validation of an MRI-based deep learning system for triple-class ER expression classification in breast cancer: a large-scale multicenter study.

BMC medicine·2026
Same author

Elevated plasma klotho levels attenuate Alzheimer's disease pathologies and cognitive decline in APOE ε4 carriers.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

The role of radiological imaging in differentiating malignant and benign pulmonary nodules: a retrospective study.

BMC medical imaging·2026
Same journal

Multimorbidity burden and patterns associated with DeepBrainNet-derived brain-age gap in dementia-free older adults: A community-based study.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Reply to "Shifting the emphasis of brain health literacy from individuals to systems to reduce inequalities".

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Shifting the emphasis of brain health literacy from individuals to systems to reduce inequalities.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Correlates and predictors of self-efficacy among dementia caregivers: D-CARE findings.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

What should convince a clinician of disease modification in Alzheimer's disease clinical trials?

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Primary cilia-extracellular vesicle crosstalk in Alzheimer's disease: Emerging mechanisms and biomarker potential.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
查看所有相关文章

相关实验视频

Updated: Jan 7, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Published on: January 28, 2014

37.1K

生物标志物 生物标志物

Hui Chen1,2, Xiang Fan1, Keyan Yu1

  • 1Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 26, 2025
PubMed
概括
此摘要是机器生成的。

虚拟现实眼睛跟踪认知评估 (VECA) 是一种新的工具,可以有效地选轻度认知障碍 (MCI),并优于传统方法,如海马体积 (HV). VECA显示,在MCI中,注意力是保留的,而计算,执行和记忆力随着疾病的进展而下降.

更多相关视频

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.9K
Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans
08:14

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans

Published on: April 28, 2023

702

相关实验视频

Last Updated: Jan 7, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Published on: January 28, 2014

37.1K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.9K
Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans
08:14

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans

Published on: April 28, 2023

702

科学领域:

  • 神经科学是一个神经科学.
  • 老年学是一门学科.
  • 医疗技术 医疗技术 医学技术

背景情况:

  • 轻度认知障碍 (MCI) 是认知无障碍 (CU) 和痴呆症之间的关键过渡阶段,需要敏感的早期检测方法.
  • 目前的查工具,如迷你精神状态检查 (MMSE) 和海马体积 (HV),对早期MCI检测的敏感性有局限性.
  • 蒙特利尔认知评估 (MoCA) 较为敏感,但复杂且耗时,强调需要更有效的选工具.

研究的目的:

  • 探索不同轻度认知障碍 (MCI) 子组的认知衰退模式,使用新的虚拟现实眼睛跟踪认知评估 (VECA).
  • 将VECA的诊断性能与传统方法进行比较,特别是海马体积 (HV),用于识别MCI.
  • 评估VECA作为认知障碍快速查工具的效率和灵敏度.

主要方法:

  • 从深多模式衰老研究 (STAR) 队列中招募了125名MCI患者和190名认知正常 (CU) 个体.
  • 参与者接受了神经心理评估,包括虚拟现实眼睛追踪认知评估 (VECA) 和3D-T1WI MRI用于海马体积 (HV) 测量.
  • 根据蒙特利尔认知评估 (MoCA) 和迷你精神状态检查 (MMSE) 的得分,MCI患者被分为四个亚组 (Q1-MCI至Q4-MCI),使用DeLong测试进行统计比较.

主要成果:

  • 与HV相比,VECA在所有MCI子组中表现出优异的诊断性能,曲线下的面积 (AUC) 值更高.
  • 特定的认知功能表现出不同的下降模式:抽象,计算,执行和记忆一直受到损害,特别是在晚期的MCI阶段 (Q4-MCI).
  • 注意力功能在MCI子组之间没有显著差异,与其他认知领域相比,AUC值始终较低.

结论:

  • 虚拟现实眼睛跟踪认知评估 (VECA) 显示出作为一种快速 (5分钟的管理) 和有效的轻度认知障碍 (MCI) 查工具的显著承诺.
  • 在所有阶段的MCI区分方面,VECA的表现始终优于海马体积 (HV),提供了更敏感的诊断方法.
  • 研究结果表明,虽然注意力仍然相对保持,但在MCI的后期阶段,计算,执行和记忆方面的障碍逐渐恶化.