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Original Research

Relationship Between sCD163 and mCD163 and Their Implication in the Detection and Typing of Leprosy

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Pages 379-389 | Published online: 02 Jun 2020

Figures & data

Figure 1 (A) Forward scatter versus side scatter with primary gate on the monocyte region depending on cell size and granularity. (B-D) The monocyte area was selected where double positive for both CD163 PE and CD 14 FITC. The single CD14 FITC positive are in the lower right quadrant, single CD163 PE positive are in the upper left quadrant, double positive are in the upper right quadrant. LL had significantly higher mCD163 (46.68±22.17) than BL (16.80±8.71) and TL (14.72±3.41) (p<0.001), but insignificant difference between BL and TL (p=0.1).

Abbreviations: CD, cluster of differentiation; PE, phycoerythrin; FITC, fluorescein isothiocyanate; mCD, membrane bound cluster of differentiation; LL, lepromatous leprosy; BL, border-line leprosy; TL, tuberculoid leprosy; SSC, side scatter; FSC, forward scatter.
Figure 1 (A) Forward scatter versus side scatter with primary gate on the monocyte region depending on cell size and granularity. (B-D) The monocyte area was selected where double positive for both CD163 PE and CD 14 FITC. The single CD14 FITC positive are in the lower right quadrant, single CD163 PE positive are in the upper left quadrant, double positive are in the upper right quadrant. LL had significantly higher mCD163 (46.68±22.17) than BL (16.80±8.71) and TL (14.72±3.41) (p<0.001), but insignificant difference between BL and TL (p=0.1).

Table 1 Demographic and Clinical Data of Studied Subjects

Table 2 Comparison Between Patients and Controls Regarding Complete Blood Count (CBC), Serum sCD163 and Flow Cytometric Assessment

Table 3 Comparison Between the Studied Leprosy Types Regarding Laboratory Data

Figure 2 Correlation between mCD163 positive monocytes and sCD163 serum levels in leprosy patients (r=0.896, p<0.001).

Abbreviations: m, membrane bound; CD, cluster of differentiation; s, soluble.
Figure 2 Correlation between mCD163 positive monocytes and sCD163 serum levels in leprosy patients (r=0.896, p<0.001).

Table 4 Baseline Data in Leprosy Patients in Relation to Serum sCD163 and mCD163 Positive Monocytes

Table 5 Correlation Between WBCs and Platelet Counts with Serum sCD163 and mCD163 Positive Monocytes

Figure 3 Receiver operator characteristic (ROC) curve analysis in the detection of leprosy. (A) Serum sCD163: area under the curve was 0.87, best cut off was 100.11 pg/mL, sensitivity of 92.9% and specificity of 90% (p<0.001). (B) Monocytes mCD163: area under the curve was 0.96 and best cut off was 10.95 cells/mL with sensitivity of 91.4% and specificity of 90% (p<0.001).

Abbreviations: m, membrane bound; CD, cluster of differentiation; s, soluble.
Figure 3 Receiver operator characteristic (ROC) curve analysis in the detection of leprosy. (A) Serum sCD163: area under the curve was 0.87, best cut off was 100.11 pg/mL, sensitivity of 92.9% and specificity of 90% (p<0.001). (B) Monocytes mCD163: area under the curve was 0.96 and best cut off was 10.95 cells/mL with sensitivity of 91.4% and specificity of 90% (p<0.001).

Figure 4 Receiver operator characteristic (ROC) curve analysis in the typing of leprosy. (A) Serum sCD163: area under the curve was 0.83 with sensitivity of 84.8% and specificity of 80% for differentiation between border-line and lepromatous leprosy types with best cut off level of 379.13 pg/mL (p =0.002). (B) Monocytes mCD163: area under the curve was 0.93 with sensitivity of 87.9% and specificity of 80% for differentiation between border-line and lepromatous leprosy types with best cut off level of 22.5 cells/mL (p<0.001).

Abbreviations: m, membrane bound; CD, cluster of differentiation; s, soluble.
Figure 4 Receiver operator characteristic (ROC) curve analysis in the typing of leprosy. (A) Serum sCD163: area under the curve was 0.83 with sensitivity of 84.8% and specificity of 80% for differentiation between border-line and lepromatous leprosy types with best cut off level of 379.13 pg/mL (p =0.002). (B) Monocytes mCD163: area under the curve was 0.93 with sensitivity of 87.9% and specificity of 80% for differentiation between border-line and lepromatous leprosy types with best cut off level of 22.5 cells/mL (p<0.001).