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

A systematic review of in vivo brain insulin resistance biomarkers in humans.

Biomarkers in neuropsychiatry·2026
Same author

REAl world Dementia OUTcomes (READ-OUT) protocol: observational study.

BMJ open·2026
Same author

Associations of plasma biomarkers of Alzheimer's disease pathology with modifiable risk factors and cognitive and functional outcomes: evidence from cross-sectional prediction and latent path analyses in the Bio-Hermes-001 cohort.

Alzheimer's research & therapy·2026
Same author

Midlife dementia risk and later dementia-related fear and avoidance: evidence from a prospective cohort study.

Aging & mental health·2026
Same author

An analysis on the role of glucagon-like peptide 1 receptor agonists in cognitive and mental health disorders.

Nature. Mental health·2026
Same author

The relative contribution of modifiable and non-modifiable factors for determining cognition in mid-life individuals at risk for late-life Alzheimer's disease.

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

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

Dishaa Sinha1, Kushagra Soni2, Ishan Durve3

  • 1University of Oxford, Oxford, Oxfordshire, United Kingdom.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 26, 2025
PubMed
概括

使用心血管和语音数据预测阿尔茨海默病 (AD) ATN 病理表明有希望. 结合这些非侵入性标记物显著提高了诊断准确度,为早期检测提供了可扩展的方法.

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.
  • 生物标志物发现发现
  • 计算生物学 计算生物学

背景情况:

  • 阿尔茨海默氏病 (AD) 构成了越来越大的医疗保健挑战,需要早期诊断才能进行有效的干预.
  • 传统的AD诊断 (神经成像,侵入性生物标志物) 是昂贵的,并且无法用于例行监测.
  • 非侵入性,负担得起的生物标志物对于早期阿尔茨海默病检测至关重要,与ATN (粉样蛋白,陶蛋白,神经退行) 框架保持一致.

研究的目的:

  • 调查语音特征和心血管因素对预测阿尔茨海默病 (AD) ATN病理学的潜力.
  • 使用集成的非侵入性数据开发和比较用于早期AD检测的机器学习模型.
  • 建立一个可扩展和可访问的AD诊断方法.

主要方法:

  • 来自使用Bio-Hermes平台的1,011名参与者的综合数据.
  • 用生物标志物值将参与者分为ATN组和临床类别 (认知健康,MCI,AD).
  • 开发和评估了四种XGBoost模型:基线,心血管,语音和组合,结合了人口统计,生活方式,心血管和语音特征.

主要成果:

  • 基线模型实现了0.9103的ROC-AUC和0.7097.7的精度.
  • 心血管和语音模型的性能有所改善,ROC-AUC分别为0.9254和0.9416.
  • 整合所有特征的组合模型产生了最高的性能,ROC-AUC为0.9539和准确率为0.8260.

结论:

  • 整合心血管和语音特征显著提高了阿尔茨海默病中ATN病理的预测.
  • 这些非侵入性标志物表明了可扩展,具有成本效益的早期AD检测的潜力.
  • 这些发现支持开发新型工具,以减少对AD的侵入性诊断方法的依赖.