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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

Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers

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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.
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
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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.

Lindsey A Kuchenbecker1, Kevin J Thompson2, Cheyenne D Hurst1

  • 1Mayo Clinic, Jacksonville, FL, USA.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 25, 2025
PubMed
Summary
This summary is machine-generated.

Researchers discovered 36 plasma proteins that accurately diagnose Alzheimer's disease (AD) in African Americans. This novel biomarker panel shows high accuracy and potential for improved AD diagnosis in diverse populations.

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Area of Science:

  • Neuroscience
  • Biomarker Discovery
  • Proteomics

Background:

  • Plasma biomarkers offer accessible Alzheimer's disease (AD) diagnostics.
  • Current candidates lack validation in diverse populations and miss key AD pathways.
  • African Americans (AA) have higher dementia risk but are underrepresented in AD research.

Purpose of the Study:

  • Discover novel plasma biomarkers for AD in African Americans (AA).
  • Identify a protein panel to differentiate AD dementia from cognitive impairment.
  • Validate biomarker generalizability across diverse populations.

Main Methods:

  • Untargeted proteomics (SomaScan 7k) on plasma from AA participants (AD dementia n=181, CU n=142).
  • Machine learning (elastic net regression) to identify predictive proteins.
  • External validation in a mixed cohort (NHW and AA, n=369).

Main Results:

  • Thirty-six proteins identified as predictors of AD dementia.
  • Selected proteins linked to AD pathways: synaptic dysfunction, inflammation, vascular issues.
  • The 36-protein panel achieved AUC=0.94, outperforming age/sex models by 22-35% in discovery and validation cohorts.

Conclusions:

  • Untargeted proteomics and machine learning yielded a novel, accurate plasma biomarker panel for AD.
  • This panel shows promise for improved AD diagnosis, especially in underrepresented groups.
  • Future work will link panel to p-tau217, comorbidities, and social determinants of health.