Single molecule array (Simoa) assay with optimal antibody pairs for cytokine detection in human serum samples

Danlu Wu1, Milena Dumont Milutinovic, David R Walt

  • 1Department of Chemistry, Tufts University, Medford, MA 02155, USA. david.walt@tufts.edu.

The Analyst
|August 14, 2015
PubMed

Insights

This study developed ultrasensitive Simoa assays for ten cytokines, achieving femtomolar detection limits. These new methods enable precise measurement of cytokine levels in healthy individuals, crucial for diagnostics and therapeutic monitoring.

Area of Science:

  • Biochemistry
  • Immunology
  • Assay Development

Background:

  • Cytokine concentrations in bodily fluids indicate patient health status, aiding in disease diagnosis and treatment monitoring.
  • Current detection methods struggle to quantify low cytokine levels found in healthy individuals, limiting diagnostic capabilities.

Purpose of the Study:

  • To develop ultrasensitive assays for ten key cytokines using the Simoa platform.
  • To establish reference concentration ranges for these cytokines in healthy human serum.

Main Methods:

  • Selected antibody pairs for single molecule array (Simoa) assays.
  • Quantified ten cytokines: GM-CSF, TNF-α, IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-6, IL-7, and IL-10.
  • Determined limits of detection (LODs) ranging from 90 aM to 6 fM.

Main Results:

  • Achieved ultra-low LODs for the ten targeted cytokines, significantly surpassing conventional ELISA sensitivity.
  • Successfully detected and quantified cytokines in healthy human serum samples at sub-picomolar concentrations.
  • Provided detailed antibody pair information and reference concentration data for healthy serum.

Conclusions:

  • The developed Simoa assays offer unprecedented sensitivity for cytokine detection.
  • This advancement facilitates the measurement of low-level cytokines, supporting early disease detection and personalized medicine.
  • The generated reference data is valuable for future ultrasensitive immunoassay development and clinical applications.

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