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

James Groves1, Hamilton Se-Hwee Oh2, Amelia Farinas2,3

  • 1Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.

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

Accelerated brain ageing in individuals

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Area of Science:

  • Neuroscience and Aging Research
  • Proteomics and Biomarker Discovery

Background:

  • Aging is the primary risk factor for Alzheimer's disease (AD), but underlying molecular mechanisms remain unclear.
  • This study investigates proteomic brain aging trajectories in an identically aged cohort to understand the link with AD pathology.

Purpose of the Study:

  • To track proteomic brain aging trajectories across the seventh decade of life.
  • To associate these aging trajectories with Alzheimer's disease (AD) biomarkers.
  • To identify specific proteins influencing the relationship between brain aging and AD.

Main Methods:

  • Utilized SomaScan proteomic data from the 1946 British Birth Cohort (n=414) at two time points.
  • Estimated 'brain age gap' (BAG) using a proteomic clock and calculated 'BAG change score' to reflect aging trajectory.
  • Assessed primary outcomes including amyloid-PET positivity and plasma p-tau217, with secondary outcomes in CSF biomarkers.

Main Results:

  • Observed heterogeneous brain aging trajectories, with 'BAG change score' ranging from -21.3 to 17.3 years.
  • Accelerating brain aging (higher BAG change score) significantly predicted amyloid-PET positivity and elevated p-tau217 levels (plasma and CSF).
  • Associations remained significant after adjusting for APOE4 status and other neurodegeneration markers; identified key proteins like Aldolase C, NPTXR, and LRRTM2.

Conclusions:

  • Heterogeneous proteomic brain aging trajectories exist even in identically aged individuals.
  • Accelerating brain aging is a significant predictor of AD biomarker positivity, independent of genetic risk.
  • Further research is warranted to elucidate the role of identified proteins in linking brain aging to AD pathology.