Affinity Proteomics Assays for Cardiovascular and Atherosclerotic Disease Biomarkers

Maria Jesus Iglesias1,2, Jochen M Schwenk3, Jacob Odeberg3,4,5

  • 1Science for Life Laboratory, Department of Protein Science, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden. mariajesus.iglesias@scilifelab.se.

Insights

This study introduces a novel method for discovering protein biomarkers in human plasma, crucial for early cardiovascular disease diagnosis and risk prediction. The technique is efficient, requires minimal sample, and aids in developing clinical assays.

Area of Science:

  • Biochemistry
  • Proteomics
  • Biomarker Discovery

Background:

  • Cardiovascular disease (CVD) involves complex pathophysiological processes impacting the plasma proteome.
  • The human plasma proteome offers a rich source for identifying novel disease biomarkers.
  • Early diagnosis and risk prediction are critical for managing CVD.

Purpose of the Study:

  • To describe a protocol for discovering protein biomarker candidates in human plasma.
  • To present a scalable and efficient method for proteomic analysis.
  • To facilitate the translation of identified biomarkers into clinical applications.

Main Methods:

  • Utilizing suspension bead array technology for high-throughput proteomic analysis.
  • Employing a protocol that bypasses the need for abundant protein depletion.
  • Using minimal sample volumes (microliters) for plasma analysis.
  • Describing a bead-assisted antibody-labeling process for quantitative assay development.

Main Results:

  • A protocol for protein biomarker discovery in human plasma was successfully detailed.
  • The method demonstrates scalability for analyzing numerous analytes and samples.
  • The approach allows for quantitative assay development for biomarker validation.

Conclusions:

  • The described protocol offers a powerful tool for identifying novel protein biomarkers for cardiovascular disease.
  • This method supports efficient and cost-effective biomarker discovery and validation.
  • The technology facilitates the translation of research findings into clinical practice for improved CVD management.

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