Literature DB >> 24375063

Is CD19 an immunological diagnostic marker for acute appendicitis?

Ghasem Mosayebi1, Shaban Ali Alizadeh, Ali Alasti, Alireza Amouzandeh Nobaveh, Ali Ghazavi, Mahsa Okhovat, Mohammad Rafiei.   

Abstract

BACKGROUND: The appendix is considered as part of the gut-associated lymphoid tissue; however, lymphocyte subsets in this tissue are not fully defined.
OBJECTIVE: To investigate and compare the function and phenotype of lymphocyte subsets in peripheral blood and appendix of patients with normal and inflamed appendix tissues.
METHODS: Peripheral blood samples and appendiceal mononuclear cells were obtained from 81 patients (mean age; 23 ± 10.5 years), clinically suspected of having appendicitis. The phenotypic characteristics of lymphocyte subsets in peripheral blood (before and 48-72 hrs after appendectomy) and in appendix tissue were analyzed by three color-flow cytometry. The proliferative response of mononuclear cells was assessed by MTT method.
RESULTS: The frequency of CD19+DR+, HLA-DR+ and CD19+ cells in the appendix tissue were significantly higher than that of the peripheral blood in all the groups (p<0.001). The percentage of CD19+ cells and HLA-DR+CD19+ cells significantly decreased after appendectomy in the peripheral blood of the patients with acute appendicitis (p=0.047 and p=0.03, respectively). CD19 and HLA-DR plus CD19 had better diagnostic efficiency compared with T cell markers (area under the ROC curve [AUC]= 0.76 and 0.73, respectively).
CONCLUSION: These results indicate a significant difference in CD19+ and HLA-DR+ lymphocytes between peripheral blood and the appendix tissue.

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Year:  2013        PMID: 24375063     DOI: IJIv10i4A3

Source DB:  PubMed          Journal:  Iran J Immunol        ISSN: 1735-1383            Impact factor:   1.603


  2 in total

1.  The Diagnostic Value of Surface Markers in Acute Appendicitis; A Diagnostic Accuracy Study.

Authors:  Naser Mohammad Gholi Mezerji; Mohammad Rafeie; Zahra Shayan; Ghasem Mosayebi
Journal:  Bull Emerg Trauma       Date:  2015-04

2.  Preoperatively predicting the pathological types of acute appendicitis using machine learning based on peripheral blood biomarkers and clinical features: a retrospective study.

Authors:  Chun-Bo Kang; Xiao-Wei Li; Shi-Yang Hou; Xiao-Qian Chi; Hai-Feng Shan; Qi-Jun Zhang; Xu-Bin Li; Jie Zhang; Tie-Jun Liu
Journal:  Ann Transl Med       Date:  2021-05
  2 in total

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