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. 2018 Oct;103(10):e436-e439.
doi: 10.3324/haematol.2018.188920. Epub 2018 Jun 7.

A novel non-invasive method to measure splenic filtration function in humans

Sara El Hoss  1   2   3 , Michaël Dussiot  4 , Olivier Renaud  5   6   7   8 , Valentine Brousse  1   2   3   9 , Wassim El Nemer  10   2   3
Affiliations

A novel non-invasive method to measure splenic filtration function in humans

Sara El Hoss et al. Haematologica. 2018 Oct.
No abstract available

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Figures

Figure 1.
Figure 1.
Detecting Howell-Jolly bodies using imaging flow cytometry. (A) Histogram representing the intensity of Hoechst staining in a splenectomized individual. (B) Images from imaging flow cytometry distinguishing three categories of cells: (i) RBC with HJB-like spots, (ii) RBC bound to Hoechst-positive particles and (iii) Hoechst-positive particles. (C, D) Graphs representing the percentage of HJB-RBC determined by the classical blood smear technique and imaging flow cytometry in (C) 10 splenectomized individuals (unpaired t test, P=0.07) and (D) 11 adults with sickle cell disease (Wilcoxon test, P=0.057) (NS: non-significant). (E) Graphical representation of the percentage of HJB-RBC determined by imaging flow cytometry in 20 patients with a splenic uptake of 100-50% and seven patients with a splenic uptake of 50-0% (Mann-Whitney test, P<0.0001). MGG: May-Grunwald Giemsa, IFC: imaging flow cytometry.
Figure 2.
Figure 2.
Relationship between %Hoechst-positive events and %HJB-RBC. (A) Linear regression relationship between %Hoechst-positive events (x) and %HJB-RBC (y) in 53 blood samples (y = 0.83x – 0.22). (B-D) Refinement of the linear regression according to three cut-offs of %Hoechst-positive events: (B) <0.5% (n=18) (y = 0.2x + 0.04), (C) 0.5-3.5% (n=14) (y = 0.73x – 0.15), and (D) >3.5% (n=21) (y = 0.76x + 0.78). Correlation (Pearson correlation coefficient) and linear regression, P<0.0001.
See this image and copyright information in PMC

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