Molecular Aggregation in Immune System Activation Studied by Dynamic Light Scattering

Elena Velichko1, Sergey Makarov1, Elina Nepomnyashchaya1

  • 1Institute of Physics, Nanotechnology and Telecommunications, Peter the Great St.Petersburg Polytechnic University, St. Petersburg 195251, Russia.

Biology
|June 18, 2020
PubMed

Insights

Dynamic light scattering (DLS) effectively measures circulating immune complexes (CICs) in blood serum. Healthy individuals show faster CIC formation and different sizes/concentrations compared to those with diseases, aiding immune diagnostics.

Area of Science:

  • Immunology
  • Biomedical Diagnostics
  • Biophysics

Background:

  • Circulating immune complexes (CICs) are crucial biomarkers for immune disease diagnostics.
  • Accurate determination of CIC size and concentration is essential for clinical assessment.
  • Current diagnostic methods may have limitations in assessing CIC dynamics.

Purpose of the Study:

  • To evaluate the efficacy of dynamic light scattering (DLS) for sizing and quantifying CICs in human blood serum.
  • To investigate the differences in CIC size and concentration between healthy donors and patients with immune-related diseases.
  • To analyze the dynamics of CIC formation in different donor groups.

Main Methods:

  • Utilized a dynamic light scattering spectrometer to analyze blood serum samples.
  • Collected and processed serum from both healthy and diseased donors.
  • Measured the size distribution and estimated the concentration of CICs.

Main Results:

  • Significant differences in CIC size and concentration were observed between healthy and sick donors.
  • CIC formation dynamics varied, with faster complexation noted in healthy donors' blood serum.
  • DLS provided quantifiable data on CIC characteristics.

Conclusions:

  • Dynamic light scattering is a viable method for determining CIC size and concentration in biomedical diagnostics.
  • Observed differences in CIC characteristics and formation dynamics can aid in immune status assessment.
  • The findings support the implementation of DLS for diagnosing immune diseases and detecting chronic inflammation.

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