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

Authorship and citation trends in dementia research: A path to equitable career development for scientists.

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

Subliminal facial primes bias emotion judgments during naturalistic videos in major depressive disorder.

Cortex; a journal devoted to the study of the nervous system and behavior·2026
Same author

Plasma phosphorylated tau217 discordance with amyloid status in an ethnically diverse mixed memory clinic cohort.

Journal of the neurological sciences·2026
Same author

Plasma eMTBR-tau243 and %p-tau217 for Biological Staging of Alzheimer Disease.

JAMA neurology·2026
Same author

Tau-PET and CSF MTBR-tau243 comparisons validate increased tau aggregation in females.

European journal of nuclear medicine and molecular imaging·2026
Same author

Redox Chemistry and Photophysics of the <b>[V(dgpy)</b><sub><b>2</b></sub><b>]</b><sup><b>3+/2+</b></sup> Redox Pair.

Inorganic chemistry·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

Alexandra König1,2, Elisa Mallick3, Johannes Tröger3

  • 1ki elements UG, Saarbrücken, Germany.

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。

使用数字语音认知生物标志物 (SB-C) 的语音分析可以非侵入性地检测阿尔茨海默病 (AD) 病理. 这种工具对初级保健机构的有效查有很大的希望.

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.
  • 生物标志物 生物标志物
  • 数字健康数字健康

背景情况:

  • 阿尔茨海默病 (AD) 诊断依赖于侵入性生物标志物.
  • 早期检测对于有效的管理和治疗至关重要.
  • 需要新的非侵入性方法来进行广泛的查.

研究的目的:

  • 评估数字语音认知生物标志物 (SB-C) 在区分阿尔茨海默病 (AD) 生物标志物组的有效性.
  • 评估SB-C在识别粉样蛋白-β (Aβ) 和p-tau状态方面的性能.
  • 探索语音分析作为初级保健中的非侵入性诊断工具的实用性.

主要方法:

  • 利用了来自瑞典BioFINDER-Primary Care研究的数据,包括患有主观认知衰退 (SCD) 或轻度认知障碍 (MCI) 的患者.
  • 从语义语言流利 (SVF) 和RBANS列表中提取了SB-C分数,使用专有语音分析管道进行学习任务.
  • 根据脑脊液 (CSF) 的Aβ42/Aβ40和p-Tau181/Aβ40水平,确定和验证了最佳的SB-C切线,以区分AD病理.

主要成果:

  • 该研究分析了241名参与者的数据;79名没有AD病理,162名有AD病理.
  • 一个最佳的SB-Cz分数切线为0.43分化AD病理,准确度为71% (p-Tau181/Aβ40的AUC=0.79).
  • 在CSFAβ42/Aβ40阳性/阴性的分类性能方面,获得了69%的准确性 (AUC=0.74).

结论:

  • 数字语音认知生物标志物 (SB-C) 显示出作为一种非侵入性和可扩展的AD病理检测工具的潜力.
  • 自动语音分析提供了一种实用的方法,可以提高查效率,降低成本,并尽量减少初级保健中的患者负担.
  • SB-C可以帮助区分AD病理的存在和不存在,支持早期识别工作.