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

Early syndecan-4 upregulation predicts cognitive and pathological trajectories in Alzheimer disease.

Alzheimer's research & therapy·2026
Same author

Usage and positivity rates of Alzheimer's disease biomarkers in a memory clinic.

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

<i>Trans</i>-eQTLs reveal the architecture of human gene regulatory networks.

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

Low overlap of plasma and CSF protein quantitative trait loci affects protein discovery for neurological disease.

Science translational medicine·2026
Same author

GPND-AI NULISA: A 15-Protein AI classifier for diagnosis and co-pathology profiling across neurodegenerative diseases.

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

[11C]CS1P1 PET links T-cell-associated immune activation with endothelial and astrocytic responses.

Research square·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

Muhammad Ali1,2, Ying Xu1,2, Gyujin Heo1

  • 1Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.

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。

这项研究确定了脑脊液和血中独特的蛋白质签名,以区分神经退行性疾病 (NDs),如阿尔茨海默氏症和帕金森病,有助于向治疗.

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:

  • 神经保护学是神经保护学.
  • 生物标志物发现发现
  • 神经退行性疾病 神经退行性疾病

背景情况:

  • 神经退行性疾病 (NDs),如阿尔茨海默病 (AD),帕金森病 (PD),前性痴呆症 (FTD) 和患有莱维体 (DLB) 的痴呆症,具有重叠的临床特征,使诊断复杂化.
  • 准确的区分对于有效的治疗和了解疾病机制至关重要.
  • 蛋白质组学提供了一种强大的工具,用于识别特定疾病的分子特征和生物标志物.

研究的目的:

  • 在脑脊液 (CSF) 和血中识别疾病特异性蛋白质特征,以区分NDs.
  • 开发针对AD,PD,FTD和DLB的准确诊断和分类模型.
  • 阐明不同的NDs背后的共同和独特的分子途径.

主要方法:

  • 在AD,PD,FTD,DLB和对照组中,SomaScan对2,705个脊髓和3,009个血样本进行蛋白质分析.
  • 鉴定和验证与疾病相关的蛋白质 (FDR < 0.05).
  • 开发预测模型和路径丰富分析.

主要成果:

  • 在CSF和血中都发现了疾病特异性蛋白质,CSF显示了更多的相关蛋白质.
  • 脑脊髓在DLB和FTD之间 (r2=0.89),以及在AD和DLB之间 (r2=0.59/0.77) 显示出更强的组织特异性相似性.
  • 在CSF (AUC 0.81-0.95) 和血 (AUC 0.8-0.89) 中,针对AD,PD,FTD和DLB开发了准确的预测模型.
  • 路径分析揭示了常见的神经炎症路径和每个疾病的独特路径,包括AD中的突触损伤,PD中的ER压力,DLB中的微质激活和FTD中的干扰素信号传递.

结论:

  • 跨ND的共享和独特的分子途径被划分出来,突出了由不同的分子因素驱动的常见神经退行过程.
  • 发现了独特的分子特征和融合途径,如神经炎症和突触可塑性.
  • 这些发现支持有针对性的治疗策略,并推进神经退行症的精准医学.