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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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Related Experiment Video

Updated: Jan 7, 2026

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

Nopparat Suthprasertporn1, Sitong Zhou2, Jacob Conston1

  • 1University of California, Davis, Sacramento, CA, USA.

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

Standardized biofluid processing and quality control ensure reliable biomarker data across diverse research sites. These harmonized methods enhance data consistency for large-scale clinical studies.

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Area of Science:

  • Clinical Research
  • Biomarker Discovery
  • Neuroscience

Background:

  • The DVCID project aims to enroll 2250 diverse Americans for cognitive, blood, and neuroimaging analyses.
  • The Repository Core (RC) at UC Davis manages blood processing, banking, and biomarker analysis for 20 sites.
  • Standard Operating Procedures (SOPs) are critical for consistent and comparable analytical results.

Purpose of the Study:

  • To detail harmonization strategies for biofluid sample handling and data management across multiple research sites.
  • To evaluate pre-analytical, analytical, and post-analytical factors affecting sample integrity and data reliability.
  • To ensure consistent and reliable quantitative biomarker data using the Quanterix Simoa HD-X™ Analyzer.

Main Methods:

  • Implemented standardized blood processing protocols, including specific vacutainer tubes and cryovial formats.
  • Utilized data harmonization approaches, such as re-analysis for batch-bridging, to minimize quantification variability.
  • Conducted post-analytical quality control to assess and limit within-run, between-run, and between-lot variabilities (CV ≤10-15%).

Main Results:

  • Standardized protocols ensured consistent sample processing and storage across all participating sites.
  • Harmonization strategies successfully minimized variability in biomarker quantification.
  • Post-analytical QC confirmed that variability remained within acceptable limits, with no significant variance in biomarker data across sites.

Conclusions:

  • Harmonized strategies and SOPs are crucial for reliable biofluid collection, processing, storage, and biomarker quantification in multi-center research.
  • These practices ensure sample integrity and data consistency, supporting robust biomarker research.
  • Improved data comparability facilitates cross-cohort studies and larger-scale investigations in clinical and biomarker research.