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

Yisu Yang1, Aditi Sathe2, Kurt Schilling3,4

  • 1Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 26, 2025
PubMed
Summary
This summary is machine-generated.

This study reveals significant genetic links between brain imaging traits and memory performance, particularly in regions vulnerable to Alzheimer's disease (AD). These findings highlight new brain areas for potential AD biomarker development.

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Area of Science:

  • Neurogenetics
  • Cognitive Neuroscience
  • Alzheimer's Disease Research

Background:

  • Memory performance is a key indicator for Alzheimer's disease (AD).
  • The genetic underpinnings connecting brain structure/function and memory are not well understood.
  • Neuroimaging studies have explored memory correlates, but genetic relationships require further investigation.

Purpose of the Study:

  • To investigate the genetic covariance between brain imaging-derived phenotypes (IDPs) and memory performance/decline.
  • To identify specific neuroimaging features with significant genetic overlap with memory.
  • To explore potential genetic links between AD-vulnerable brain regions and memory.

Main Methods:

  • Utilized GeNetic cOVariance Analyzer (GNOVA) to analyze genome-wide association study (GWAS) summary statistics.
  • Integrated data from large-scale GWAS on 3,143 imaging-derived phenotypes (IDPs) from UK Biobank and memory performance/decline from four aging cohorts (ACT, ADNI, NACC, ROSMAP).
  • Stratified analyses by imaging modality (dMRI, T1-weighted MRI, rs-fMRI) to identify top IDPs genetically correlated with memory.

Main Results:

  • Significant genetic covariance found between memory and various brain regions, including the uncinate fasciculus, cingulate gyrus, and posterior collateral sulcus.
  • Resting-state functional MRI (rs-fMRI) components showed overlap with the Default Mode Network and Visual Network.
  • Top associations were concentrated in the medial temporal lobe and adjacent structures, mirroring AD vulnerability patterns.

Conclusions:

  • Genetic covariance analyses reveal broad associations between multimodal brain imaging and memory.
  • Identified brain regions and networks, beyond the hippocampus, genetically linked to memory performance.
  • Findings suggest potential new neural correlates for AD biomarker development, particularly within default mode network-associated regions.