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Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

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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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Updated: Jan 7, 2026

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

Chiara Da Villa1, Benedetta Marin1, Francesco Piva1

  • 1University of Padova, Padova, Italy.

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

The Q Amyloid platform offers automated, tracer-agnostic brain amyloid-beta (Aβ) quantification using PET scans. This tool aids early Alzheimer's disease (AD) detection and supports the development of anti-amyloid therapies.

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Area of Science:

  • Neuroimaging
  • Biomarker Discovery
  • Alzheimer's Disease Research

Background:

  • Amyloid-beta (Aβ) plaque deposition is an early hallmark of Alzheimer's disease (AD), preceding cognitive decline.
  • Positron Emission Tomography (PET) is crucial for in vivo Aβ detection and early AD intervention.
  • A need exists for accurate, efficient, and automated PET-based pipelines for brain Aβ detection.

Purpose of the Study:

  • To introduce the Q Amyloid platform, designed to be tracer and scanning-site agnostic.
  • To enable automated identification and quantification of Aβ burden through PET imaging.
  • To address the current gap in automated PET-based pipelines for Alzheimer's disease.

Main Methods:

  • Assembling a comprehensive dataset of structural MRI and Aβ-PET scans from diverse sources.
  • Including Aβ-PET scans from multiple radiotracers (e.g., 11C-Pittsburgh compound B, 18F-florbetaben) for broad applicability.
  • Implementing data harmonization, pre-processing, quality control, and Aβ quantification using the Centiloid scale.

Main Results:

  • The Q Amyloid platform generates subject-specific reports with Centiloid values and Aβ pathology status.
  • It processes PET and MRI scans to provide quantitative Aβ burden assessments.
  • The platform will be web-based, open-access, and continuously updated with new quantification methods, including AI-based approaches.

Conclusions:

  • Q Amyloid serves as a valuable tool for medical research in early AD identification and tracking.
  • It provides pharmacodynamic biomarkers essential for developing novel anti-amyloid therapies.
  • The platform facilitates international data analysis, promoting methodology sharing and reusability in a decentralized manner.