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

746
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...
746
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

511
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...
511

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

Mobile cognitive testing captures divergent longitudinal trajectories of verbal learning in adults with and without HIV.

Frontiers in digital health·2026
Same author

Development and validation of a harmonized memory score for multicenter Alzheimer's disease and related dementia research.

Alzheimer's research & therapy·2026
Same author

Remote, self-administered, smartphone cognitive testing in a registry-based cohort: Feasibility, reliability, and validity findings.

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

Continuous At-Home Monitoring of Nighttime Bed Behavior in Frontotemporal Dementia.

Neurology open access·2026
Same author

The active ingredients: physical activity features linked to healthy brain aging.

Alzheimer's research & therapy·2026
Same author

Blood-based proteomic signatures of spontaneous menopause: Implications for later-life brain aging and Alzheimer's disease risk.

medRxiv : the preprint server for health sciences·2026
Same journal

Evidence for progressive neurodegeneration in iatrogenic cerebral amyloid angiopathy.

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

Human brain connectome profiles mediate the relationship between pathology burden and clinical phenotypes in Alzheimer's disease.

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

Kat5 cKO mouse replicates biological domain signatures associated with Alzheimer's disease.

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

Evaluation of CSF and plasma tau species as fluid surrogate candidates for tau PET in prodromal to moderate Alzheimer's disease.

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

Associations of self-reported obstructive sleep apnea with cognition and dementia risk in cognitively unimpaired middle-aged adults.

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

Inflammation profiles in Alzheimer's disease relate to cognition and neurodegeneration.

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

Anna M VandeBunte1, Emily W Paolillo1, Rowan Saloner1

  • 1Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 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。

女性积累白质超强度 (WMH) 比男性更快,但高静脉压只能预测男性的WMH. 这突出了大脑衰老和血管贡献的性别特异性因素.

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

699

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

699

科学领域:

  • 神经科学是一个神经科学.
  • 老年学是一门学科.
  • 心血管健康 心血管健康

背景情况:

  • 心血管风险概况在整个寿命中表现出性别差异,绝经后的女性经历了增加的血管风险.
  • 老年女性的白质超强度 (WMH) 负担比男性高.
  • 心血管健康和WMH中的性别差异建议研究它们与WMH积累的关联.

研究的目的:

  • 检查心血管风险和白质强度过高 (WMH) 积累之间的性别差异关系.
  • 为了调查纵向WMH轨迹是否因性别而有所不同.
  • 为了确定基线缩血压是否预测男性和女性的WMH积累不同.

主要方法:

  • 262名功能完整的老年人 (平均年龄70.5岁,56%是女性) 接受了基线血压测量和纵向神经成像 (WMH和灰质体积).
  • 线性混合效应模型评估了WMH轨迹的性别差异随着时间的推移.
  • 相互作用模型测试了基线静脉压和WMH轨迹之间的性别特定关联,并分析了灰质体积的特异性.

主要成果:

  • 虽然基线压缩血压和WMH体积并没有因性别而有所不同,但女性随着时间的推移,WMH积累更为急剧.
  • 较高的基线缩血压与随着时间的推移增加的WMH负担有关,仅在男性中.
  • 静脉压预测了所有参与者的灰质体积损失,但这种效应与性别无差异.

结论:

  • 与男性相比,女性随着时间的推移显示出更多的WMH积累.
  • 缩血压是男性WMH负担的重要预测因素,这表明其他因素也会影响女性WMH.
  • 系统血压与大脑衰老之间的关系中的性别差异似乎是白质的特征.