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

Profiling Protein Aggregate Size Using Single-Molecule Array Technology.

Analytical chemistry·2026
Same author

Cracks in the AI Crystal Ball: Why Clinical Prediction Tools Fall Short in the Real World.

Journal of general internal medicine·2026
Same author

Genetic risk for high body mass index before and amidst the obesity epidemic: Cross-cohort analysis of four british birth cohort studies.

PLoS genetics·2026
Same author

Plasma proteomic signatures of cellular aging predict human disease.

Nature medicine·2026
Same author

Perceptions of the use of biomarkers for Alzheimer's disease diagnosis: A systematic review and synthesis of the qualitative literature.

Alzheimer's & dementia (Amsterdam, Netherlands)·2026
Same author

The contribution of apolipoprotein E genetic variation to dementia risk in British South Asians.

Brain communications·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

James Groves1, Hamilton Se-Hwee Oh2, Amelia Farinas2,3

  • 1Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 24, 2025
PubMed
概括
此摘要是机器生成的。

在个体中加速大脑衰老.

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:

  • 神经科学和衰老研究研究
  • 蛋白质组学和生物标志物发现发现

背景情况:

  • 老龄化是阿尔茨海默病 (AD) 的主要危险因素,但潜在的分子机制仍然不清楚.
  • 这项研究调查了同样年龄的队列中蛋白质性大脑衰老轨迹,以了解与AD病理学的联系.

研究的目的:

  • 为了追踪整个生命的第七个十年的蛋白质大脑衰老轨迹.
  • 将这些衰老轨迹与阿尔茨海默病 (AD) 生物标志物联系起来.
  • 确定影响大脑衰老和AD之间的关系的特定蛋白质.

主要方法:

  • 利用SomaScan从1946年英国出生队列 (n=414) 的蛋白质组数据在两个时间点.
  • 估计"大脑年龄差距" (BAG) 使用蛋白质时钟,并计算"BAG变化得分"以反映衰老轨迹.
  • 评估了主要结果,包括粉样蛋白-PET阳性和血p-tau217,以及CSF生物标志物的次要结果.

主要成果:

  • 观察到异质的大脑衰老轨迹,BAG变化得分从-21.3年到17.3年不等.
  • 加快大脑衰老 (更高的BAG变化得分) 显著预测了粉样蛋白-PET阳性和升高的p-tau217水平 (血和脑液).
  • 在调整APOE4状态和其他神经退行性标志物后,关联仍然很重要;确定了Aldolase C,NPTXR和LRRTM2等关键蛋白质.

结论:

  • 异质的蛋白质性大脑衰老轨迹甚至存在于相同年龄的个体中.
  • 加快大脑衰老是AD生物标志物积极性的重要预测因素,独立于遗传风险.
  • 需要进一步的研究,以阐明已识别的蛋白质在将大脑衰老与AD病理学联系起来的作用.