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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.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
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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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Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
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Biomarkers.

Mahboubeh Motaghi1,2, Olivier Potvin3, Iman Beheshti4,5

  • 1Laval University, Quebec City, QC, Canada.

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

Frailty and uncontrolled type 2 diabetes (T2D) independently accelerate brain aging. Poor glycemic control worsens brain aging, particularly in frail individuals, highlighting the need for targeted interventions.

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Area of Science:

  • Neuroscience
  • Gerontology
  • Endocrinology

Background:

  • Aging and type 2 diabetes (T2D) are linked to brain structural changes.
  • Frailty is also associated with reduced brain volume and cortical atrophy.
  • The combined impact of T2D and frailty on brain aging remains unclear.

Purpose of the Study:

  • To investigate the association between frailty, T2D, and relative brain age (RBA) in older adults.
  • To determine if frailty modifies the effect of T2D on brain aging.
  • To explore predictors of accelerated brain aging in the UK Biobank cohort.

Main Methods:

  • Utilized UK Biobank participants (age ≥55) with available MRI data.
  • Classified T2D status (non-diabetic, controlled, uncontrolled HbA1c) and frailty (non-frail, pre-frail, frail).
  • Estimated RBA from cortical thickness and regional brain volume, analyzed using linear regression and ANCOVA.

Main Results:

  • Higher HbA1c levels and frailty scores significantly predicted elevated RBA.
  • Uncontrolled T2D and frailty were associated with the highest RBA.
  • A significant interaction showed HbA1c exacerbates RBA, especially in frail individuals.

Conclusions:

  • Frailty and poor glycemic control independently accelerate brain aging.
  • These factors interact, with heightened detrimental effects on brain aging in frail individuals with T2D.
  • Interventions targeting frailty and glycemic control are vital for mitigating brain aging and dementia risk.