Analysis and identification of plasma immunoregulatory factors and antibody profiles of candidate hosts for diagnosis of active and latent tuberculosis infection
Objective This study aimed to evaluate the diagnostic value of plasma immunoregulatory factors and antibody profiles in differentiating active tuberculosis(ATB)from latent tuberculosis infection(LTBI).Methods A total of 84 ATB patients admitted to the hospital between January 2023 and December 2023 were included in the ATB group,while 84 LTBI patients were matched 1:1 to form the LTBI group.Plasma levels of immunoregulatory factors,including interleukin(IL)-6,IL-16,IL-18,interferon-y(IFN-γ),chemokine ligand 1(CXCL1),granulocyte colony-stimulating factor(G-CSF),CXCL10,CXCL9,vascular endothelial growth factor(VEGF),and platelet-derived growth factor-BB(PDGF-BB),along with antibodies targeting Rv3881c,Rv0944-P38.Rv2031c,Rv1886c,Rv1860,Rv3874,Rv1926c,and Rv3841,were measured using the Luminex multiplex immunoassay based on microspheres.Results Plasma levels of CXCL10,CXCL9,IL-18,IL-6,IL-16,PDGF-BB,IFN-γ,CXCL1,G-CSF,and VEGF were significantly elevated in the ATB group compared to the LTBI group(P<0.05).Similarly,the expression of anti-Mtb antibodies Rv3881c,Rv0944-P38,Rv2031c,Rv1886c,Rv1860,Rv3874,Rv1926c,and Rv3841 was significantly higher in the ATB group(P<0.05).Lasso and Logistic regression analyses identified CXCL10,CXCL9,CXCL1,G-CSF,Rv3881c,Rv2031c,and Rv1860 as significant predictors for distinguishing ATB from LTBI(P<0.05).The area under the ROC curve(AUC)for the combined plasma immunoregulatory factors in differentiating ATB from LTBI was 0.888(95%CI:0.841-0.935),and the AUC for the antibody profiles was 0.866(95%CI:0.807-0.925),both significantly higher than those of individual markers(P<0.05).The combined use of the four immunoregulatory factors and three antibody profiles further improved diagnostic accuracy,achieving an AUC of 0.984(95%CI:0.969-0.998).Conclusion The combined detection of plasma immunoregulatory factors and antibody profiles provides a highly effective method for differentiating ATB from LTBI,with potential clinical utility.
active tuberculosislatent tuberculosis infectionimmunoregulatory factorsantibody