Diagnostic value of flow cytometry in postoperative infection after renal transplantation

Ma Xihui; Gao Yu; Han Yong; Sun Yujie; Du Ruo; Liu Peixia; Zhang Wenhui; Xiao Li

doi:10.3969/j.issn.1674-7445.2018.02.008

Volume 9 Issue 2

Mar. 2018

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Ma Xihui, Gao Yu, Han Yong, et al. Diagnostic value of flow cytometry in postoperative infection after renal transplantation[J]. ORGAN TRANSPLANTATION, 2018, 9(2): 137-141，155. doi: 10.3969/j.issn.1674-7445.2018.02.008

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Diagnostic value of flow cytometry in postoperative infection after renal transplantation

doi: 10.3969/j.issn.1674-7445.2018.02.008

Basic Research Laboratory of Organ Transplant Institute, the 309^th Hospital of ChinesePeople's Liberation Army, Beijing Key Laboratory of Organ Transplantation and Immunology Regulatory, Beijing 100091, China

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Corresponding author: Xiao Li, Email:xiaolilab309@163.com
Received Date: 2017-12-10
Available Online: 2021-01-19
Publish Date: 2018-03-15

Abstract

Abstract

Objective To assess the value of flow cytometry in the diagnosis of postoperative infection following renal transplantation. Methods According to postoperative imaging findings and laboratory examination outcomes, 51 recipients undergoing the first renal transplantation were divided into the bacteria (n=33), fungus (n=9) and BK virus (n=9) groups. Twenty-eight recipients with stable conditions after renal transplantation were assigned into the stable group. Flow cytometry was adopted to detect the percentage and absolute counting of lymphocyte subpopulation in the peripheral blood of recipients in each group. Renal function, percentage and absolute counting of lymphocyte subpopulation in the peripheral blood were statistically compared among different groups. Receiver operating characteristic (ROC) curve was drawn to evaluate the diagnostic value of the percentage and absolute counting of lymphocyte subpopulation in infectious diseases after renal transplantation. Results Compared with the stable group, the serum creatinine (Scr) and blood urea nitrogen (BUN) levels in the bacteria, fungus and BK virus groups were significantly up-regulated, respectively (P=0.035, 0.007, 0.024; 0.037, 0.006, 0.032). Compared with the stable group, the percentage of CD16⁺ CD56⁺ natural killer (NK) cells was significantly declined in the bacterial (P=0.036) and fungus groups (P=0.015), and the proportion of CD4⁺ /CD8⁺T cells was dramatically decreased in the fungus group (P=0.004). Compared with the bacterial group, the percentage of CD3⁺ CD8⁺T cells was significantly elevated (P=0.013 and 0.008), the proportion of CD3⁺ CD4⁺T cells was considerably declined (P=0.003 and 0.010), and the percentage of CD4⁺/CD8⁺T cells was significantly declined (P=0.003 and 0.005) in the fungus and BK virus groups. Compared with the stable group, the quantity of CD3⁺ T cells, CD3⁺ CD8⁺T cells and CD16⁺ CD56⁺ NK cells was significantly declined in the bacterial, fungus and BK virus groups, respectively (P=0.025, 0.002, 0.003; 0.015, 0.005, 0.006; 0.001, 0.001, 0.031). In addition, the quantity of CD3⁺ CD4⁺T cells was considerably decreased in the fungus and BK virus groups (P=0.001, 0.003). The quantity of CD19⁺ B cells was significantly reduced in the BK virus group (P=0.019). Compared with the bacterial group, the quantity of CD3⁺ CD4⁺T cells was considerably lower in the fungus group (P=0.023). ROC curve analysis revealed that the quantity of CD3⁺ CD4⁺T cells [area under curve(AUC)=0.8492] and CD16⁺ CD56⁺ NK cells (AUC=0.8889) yielded relatively high accuracy in the diagnosis of fungal infection. The quantity of CD3⁺ T cells (AUC=0.8472), CD3⁺ CD4⁺T cells (AUC=0.8452) and CD19⁺ B cells (AUC=0.8115) yielded relatively high accuracy in the diagnosis of BK virus infection. Conclusions Flow cytometry detection of the lymphocyte subpopulation in peripheral blood can evaluate the immune function of patients. Absolute counting of lymphocyte subpopulation can directly assess the degree of immunity. These two combined parameters provide guiding significance for the diagnosis and differential diagnosis of infectious diseases in recipients after renal transplantation.
- Renal transplantation,
- Bacterial infection,
- Fungal infection,
- BK virus infection,
- Flow cytometry,
- Lymphocyte subpopulation,
- T cell,
- Natural killer (NK) cell,
- Receiver operating characteristic (ROC) curve

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References(17)

References

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Diagnostic value of flow cytometry in postoperative infection after renal transplantation

doi: 10.3969/j.issn.1674-7445.2018.02.008

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Diagnostic value of flow cytometry in postoperative infection after renal transplantation

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