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. 2019 Oct 15:25:7728-7734.
doi: 10.12659/MSM.914527.

CD35 and CD64 of Neutrophils Can Differentiate Between Bacterial and Viral Infections in Children by Simultaneous Quantitative Analysis

Lingna Lu  1 , Xin Jin  1 , Qiong Zhang  2
Affiliations

CD35 and CD64 of Neutrophils Can Differentiate Between Bacterial and Viral Infections in Children by Simultaneous Quantitative Analysis

Lingna Lu et al. Med Sci Monit. .

Abstract

BACKGROUND The aim of this study was to determine the relationship between the expression of CD35 and CD64 from white blood cells (neutrophil, monocytes, and lymphocytes) and acute infectious diseases in children. MATERIAL AND METHODS The blood samples were collected from 104 children with infections (42 viral infections and 62 bacterial infections). Blood samples were stained with CD45-PC5, CD35-FITC, and CD64-PE, and the fluorescence intensities were measured by flow cytometer, and then the ratio of CD35 to CD64 was calculated. RESULTS The ratio of CD64/CD35 on neutrophils (NCD35/NCD64) was significantly different between the bacterial group, the virus group, and the healthy control group. According to receiver operating characteristic (ROC) analysis, a cutoff value of 7.256 (sensitivity: 90.0%, specificity: 93.7%) was determined for the NCD35/NCD64 ratio. CONCLUSIONS This study shows that NCD35/NCD64 is helpful in the differential diagnosis of acute viral infection and bacterial infection in children.

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Conflict of interest statement

Conflict of interest

None.

Figures

Figure 1
Figure 1
Comparison of NCD35, NCD64, NCD35/NCD64, MCD35/MCD64, and LCD35/LCD64 expression levels in the bacterial infection group, the virus infection group, and the healthy control group. In the box plot data, the lines within the box represent the median value. The boxes show 25% and 75%, and the bars represent the maximum and minimum values, using the Mann-Whitney U test (P<0.01).
Figure 2
Figure 2
Analysis of receiver operating characteristic curves when diagnosing viral infections.
Figure 3
Figure 3
Receiver operating characteristic curve analysis for the diagnosis of bacterial infections.
See this image and copyright information in PMC

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