Erythrocyte deformability correlates with systemic inflammation

Blood Cells Mol Dis. 2024 Nov:109:102881. doi: 10.1016/j.bcmd.2024.102881. Epub 2024 Aug 2.

Abstract

Recent evidence suggests that systemic conditions, particularly those associated with inflammation, can affect erythrocyte deformability in the absence of haematological conditions. In this exploratory study, we investigated the relationship between systemic inflammatory status and erythrocyte deformability (using osmotic gradient ektacytometry) in a heterogenous study population consisting of individuals with no medical concerns, chronic conditions, and acute illness, providing a wide range of systemic inflammation severity. 22 participants were included in a prospective observational study. Maximum Elongation Index (EImax) in ektacytometry served as the readout for erythrocyte deformability. Inflammatory status was assessed using C-reactive protein (CRP) and self-reported symptoms associated with inflammatory activation (Sickness Questionnaire Scores, SicknessQ). In a univariate linear regression, both CRP and SicknessQ scores significantly predicted EImax (CRP: F(1,20) = 7.751, p < 0.05 (0.011), R2 = 0.279; SicknessQ: F(1,18) = 4.831, p < 0.05 (0.041), R2 = 0.212). Sensitivity analyses with multivariable linear regression correcting for age showed concordant findings. Results suggest a linear relationship between erythrocyte deformability and biochemical and clinical markers of systemic inflammation. Replication of findings in a larger study, and mechanisms and clinical consequences need further in investigation.

Keywords: Ektacytometry; Inflammation; Red blood cell deformability.

Publication types

  • Observational Study

MeSH terms

  • Adult
  • Aged
  • Biomarkers / blood
  • C-Reactive Protein* / analysis
  • Erythrocyte Deformability*
  • Erythrocytes / metabolism
  • Erythrocytes / pathology
  • Female
  • Humans
  • Inflammation* / blood
  • Linear Models
  • Male
  • Middle Aged
  • Prospective Studies

Substances

  • C-Reactive Protein
  • Biomarkers