Fig 1.
Gating strategy used for monocyte subset discrimination.
Monocytes were defined as CD45 positive cells (B) exhibiting a typical forward (FSC) and sideward scatter (SSC) profile (A). To exclude possible contamination with T-cells, B-cells and Natural Killer cells, cells that stained for CD3, CD19 and CD56 were excluded, respectively (C). Remaining CD45+CD3/19/56- cells with a typical FSC/SSC profile were considered monocytes and distinguished according to their CD14 and CD16 surface expression into classical monocytes (CD14++CD16-), intermediate monocytes (CD14++CD16+) and non-classical monocytes (CD14+CD16++) (D).
Fig 2.
Representative image of a polyacrylamide gel electrophoresis tube and a corresponding analysis as obtained from the Lipoprint system.
a) polyacrylamide gel electrophoresis tube b) MID A-C represent IDL, LDL subfractions 1 and 2 represent large LDL and LDL subfractions 3–7 represent small, dense LDL
Table 1.
Clinical characteristics of the study population.
Table 2.
Correlation of lipid parameters and circulating monocyte subsets.
Fig 3.
Monocyte subset distribution according to sdLDL tertiles.
Monocyte subset distribution is associated with the small dense LDL subfraction. Bar graphs indicate mean % of total monocytes and error bars represent the standard error of the mean. n = 90; * p<0.01 for the lower tertiles of sdLDL vs. the third tertile
Fig 4.
Association of circulating inflammatory cytokines and tertiles of sdLDL.
Plasma levels of C-reactive protein, interleukin-6, interleukin-10 and tumor necrosis factor-α according to tertiles of small dense LDL are given. Box plots represent median and interquartile range (range from the 25th to the 75th percentile).