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

Incidental DWI-Positive Lesions in 2 Cohorts of CAA and CADASIL: Prevalence, Distribution, and Associations With Clinical Variables.

Neurology·2026
Same author

Clinico-biological trajectories stratified by combined tau biomarkers in preclinical Alzheimer's disease.

Alzheimer's research & therapy·2026
Same author

Cortical gray-white matter contrast alterations precede amyloid-β positivity and macrostructural changes in older adults without dementia.

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

Emerging directions in tauopathy research.

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

Brain regional susceptibility to tauopathy in individuals at risk for chronic traumatic encephalopathy.

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

Estimation of positron emission tomography amyloid load and related biomarkers in Alzheimer's disease using evoked potential tomography EEG: development and internal validation in a cross-sectional cohort.

Alzheimer's research & therapy·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

Amir Dehsarvi1, Lukas Frontzkowski1, Anna Dewenter1

  • 1Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Bavaria, Germany.

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。

ADprep是一个新的,自动化的神经成像管道,协调阿尔茨海默病 (AD) 数据处理. 这种用户友好的工具使非专家能够分析多模式MRI和PET扫描,促进研究和数据共享.

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:

  • 神经成像是一种神经成像.
  • 阿尔茨海默氏症疾病研究研究
  • 计算神经科学是一种神经科学.

背景情况:

  • 大规模的多式联络式MRI和PET数据处理对于阿尔茨海默病 (AD) 研究至关重要.
  • 跨站点不一致的预处理阻碍了数据协调,并引入了偏见.
  • 标准化,用户友好的工作流程对于可靠的神经成像分析至关重要.

研究的目的:

  • 开发ADprep,一个容器化,自动化的神经成像工具箱.
  • 整合结构/功能MRI和多标志物PET扫描的预处理.
  • 在各种大脑图谱中生成标准化的输出,以便进行协调的分析.

主要方法:

  • ADprep 使用 nipype 库处理 BIDS 格式的数据.
  • 它对多个大脑图谱进行体积和皮质厚度评估.
  • 功能性MRI处理包括运动校正和连接性分析;PET处理涉及SUVR生成和部分体积校正.

主要成果:

  • 在ADNI,ADNI-DOD和A4数据集的成千上万个扫描上成功测试了ADprep,失败率低于4%.
  • 该管道准确地复制了粉胺-PET (r=0.99) 和-PET (r=0.98) SUVRs.
  • 处理时间为MRI大约1小时,PET扫描大约30分钟.

结论:

  • ADprep为多式联络神经成像提供了一个用户友好的,协调的管道.
  • 它使非专家用户能够分析各种神经成像数据集.
  • 产生的输出直接适用于统计分析,促进数据共享和标准化.