Title of article :
Interleukin-6, Interleukin-17 and Transforming Growth Factor-Beta are Overexpressed in Newly Diagnosed Tuberculosis Patients; Potent Biomarkers of Mycobacterial Infection
Author/Authors :
Seyedhosseini ، Fakhri Sadat Infectious Diseases Research Center - Golestan University of Medical Sciences , Mohammadi ، Saeed Infectious Diseases Research Center, Stem Cell Research Center - Golestan University of Medical Sciences , Zare Ebrahimabad ، Mojtaba Department of Biochemistry - Faculty of Medicine - Golestan University of Medical Sciences , Khodabakhshi ، Behnaz Infectious Diseases Research Center - Golestan University of Medical Sciences , Abbasi ، Abdollah Infectious Diseases Research Center - Golestan University of Medical Sciences , Yazdani ، Yaghoub Infectious Diseases Research Center, Stem Cell Research Center - Golestan University of Medical Sciences
From page :
1
To page :
6
Abstract :
Background: Cytokines, as key regulators of immune responses, are imbalanced in tuberculosis (TB) which may reflect the status of the disease. Therefore, cytokines could be introduced as potential diagnostic and prognostic TB biomarkers.[Objectives]Here, we examined the plasma levels of IL17, IL6, and TGF #x3B2; among newly diagnosed patients with TB in comparison to normal subjects and analyzed the diagnostic utility of each cytokine to introduce a novel TB biomarker.[Methods]A total of 105 smearpositive, including 78 newly diagnosed (ND) and 27 under treatment (UT) patients with pulmonary TB and 111 age and sexmatched healthy subjects were recruited. ELISA cytokine assay was used to determine the plasma levels of IL17, IL6, and TGF #x3B2;.[Results]IL6 plasma level was higher in the ND patients than healthy subjects (P = 0.002) and the UT patients (P lt; 0.0001). Also, IL17 and TGF #x3B2; were significantly overexpressed among both groups of patients with TB compared with healthy subjects. Receiver operating characteristic (ROC) curve analysis was used to assess the diagnostic utility of the evaluated cytokines. Area under the curve (AUC) for IL6 was 0.5598 (P = 0.129). Regarding the diagnostic value of IL6 to distinguish between the ND and UT patients, AUC for IL6 was 0.8139 (P lt; 0.0001). Setting the optimal cutoff value at 23.75 gave a sensitivity of 77.78% and a specificity of 74.36%. AUC for IL17 was 0.9148 (P lt; 0.0001), while AUC for TGF #x3B2; was 0.8877 (P lt; 0.0001). Setting the optimal cutoff value at 14.05 for IL17 gave a sensitivity of 81.90% and a specificity of 79.28%, while setting the optimal cutoff value at 51.20 for TGF #x3B2; resulted in a sensitivity of 82.69% and a specificity of 72.73%.[Conclusions]All evaluated cytokines were overexpressed in newly diagnosed TB patients with different diagnostic utilities. IL6 is more convenient in distinguishing the ND from UT patients. IL17 is more specific in distinguishing TB infection and TGF #x3B2; represented a higher sensitivity. It is suggested that multiple cytokine assay should be conducted to have a better diagnostic performance rather than individual cytokine evaluation.
Keywords :
Diagnosis , IL , 17 , IL , 6 , TB Biomarker , TGF , β , Tuberculosis
Journal title :
Archives of Clinical Infectious Diseases
Record number :
2503613
Link To Document :
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