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Related Concept Videos

Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

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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...
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Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers01:19

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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.
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Updated: Jan 7, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
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Biomarkers.

Mei Cui1,2, Zishuo Jin2, Yingzhe Wang2

  • 1MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 24, 2025
PubMed
Summary
This summary is machine-generated.

Phospho-tau 217 (pTau217) in blood shows promise for predicting post-stroke cognitive impairment (PSCI). This biomarker, combined with infarct characteristics, improves prediction accuracy, suggesting a link between Alzheimer's pathology and stroke-related cognitive decline.

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Area of Science:

  • Neurology
  • Biomarker Discovery
  • Neurodegenerative Diseases

Background:

  • China faces a high burden of stroke, with a significant proportion of patients developing post-stroke cognitive impairment (PSCI).
  • Understanding the interplay between cerebrovascular and Alzheimer's disease (AD) pathologies is critical for addressing stroke-related dementia, the most prevalent form in China.

Purpose of the Study:

  • To investigate the association between peripheral blood biomarkers and the development of PSCI.
  • To explore the predictive value of biomarkers, particularly pTau217, in identifying patients at risk for PSCI.
  • To examine the relationship between pTau217 levels, infarct characteristics, and underlying amyloid pathology.

Main Methods:

  • 350 ischemic stroke patients were enrolled within 14 days of stroke onset, with 274 completing a six-month follow-up for cognitive assessment.
  • Diffusion-weighted imaging (DWI) quantified infarct lesions, while peripheral blood biomarkers (including pTau217, GFAP, NFL, IL-6) were measured.
  • Machine learning and ROC curve analysis were used to assess biomarker associations and predictive performance for PSCI.

Main Results:

  • Machine learning identified pTau217, GFAP, NFL, and IL-6 as strongly associated with PSCI, reflecting neurodegeneration, inflammation, and neuronal injury.
  • pTau217 remained significantly associated with PSCI after adjusting for infarct volume and NIHSS score.
  • The combination of pTau217 and infarct characteristics achieved an AUC of 0.86 for PSCI prediction, with pTau217 showing better prediction for smaller infarcts. Elevated pTau217 correlated with amyloid pathology.

Conclusions:

  • Pre-existing Alzheimer's disease pathology may contribute to the development of PSCI.
  • pTau217 is a promising blood biomarker for detecting underlying amyloid pathology.
  • pTau217 holds significant potential for predicting PSCI, especially when combined with infarct imaging data.