Skip to main content
. 2022 Nov 17;55(12):2436–2453.e5. doi: 10.1016/j.immuni.2022.11.007

Figure 3.

Figure 3

DNA and NET clearance activities correlate with regulators and disease severity markers in sepsis and COVID-19 pneumonia

(A) Correlation between DNase activity (D50) and DNA (left) or histone H3 (right) in SP samples.

(B) Correlation between DNase I and DNase activity at 10% plasma (left) or NETase activity in SP samples (right).

(C) Correlation between SP plasma actin and DNase activity (D50) (left) or NETase activity (right).

(D) Correlation between SP plasma gelsolin (GSN) and DNase activity (D50) (left) or NETase activity (right).

(E) Correlation between CP plasma actin measured by mass spectrometry and DNase activity (D50) (left) or NETase activity (right).

(F) CP plasma DNase I plotted against DNase activity (D50) (left) or NETase activity (right).

(G) From left to right, HI values, thrombocyte counts, neutrophil to lymphocyte ratio (NLR), and red cell blood distribution width (RDW-CV) plotted against their corresponding NETase activity in plasmas of individuals with COVID-19.

(H) Correlation between raw DNase activity measurements at 10% plasma dilution and CRP (left) or FGG protein (right) in WHO-7 (orange circle) and WHO-3 and -4 (green circle) CP samples.

(I) Correlation between ORM1;ORM2 and DNase activity measurements at 10% plasma dilution (left) or NETase activity (right) in WHO-7 and WHO-3 and -4 CP samples.

(J) Correlation between ORM2 (RPA) and DNase I measured in CP by ELISA. Statistics by Mann-Whitney or Kruskal-Wallis test for single comparisons, one-way ANOVA for multiple comparisons, simple linear or non-linear regression for correlations. See also Figure S3.