Using cytometric bead arrays to detect cytokines in the serum of patients with different types of pulmonary tuberculosis.

Cytokines play a crucial role in mediating immune responses to tuberculosis (TB). The aim of this study was to evaluate the levels of cytokines in patients with different forms of pulmonary tuberculosis (PTB) and identify valuable cytokine biomarkers for the diagnosis of PTB. We measured the levels of six cytokines (interleukin (IL-2, IL-4, IL-6, and IL-10), tumor necrosis factor (TNF-α), and interferon-γ (IFN-γ)) in the serum of healthy donors (n = 30). Patients with active PTB (n = 46) and those with latent tuberculosis infection (LTBI, n = 38) were examined using cytometric bead arrays. The levels of the six cytokines in the serum samples were measured promptly, sensitively, and simultaneously. The levels of IL-2, IL-6, IL-10, and IFN-γ were significantly higher in the PTB group compared with those reported in the healthy donors ( P < 0.01 or P < 0.05). In addition, significantly higher levels of IL-2, IL-6, IL-10, and IFN-γ were found in the active PTB group compared with those observed in the LTBI group ( P < 0.01 or P < 0.05). However, the levels of IL-4 and TNF-α in the sera of patients from the PTB group did not show a significant correlation with those measured in the healthy donor group. Our data demonstrated that IL-2, IL-6, IL-10, and IFN-γ may be useful in the auxiliary diagnosis of tuberculosis and as biomarkers for distinguishing LTBI from TB.

Chemokine CXC Ligand 13 in Cerebrospinal Fluid Can Be Used as an Early Diagnostic Biomarker for Lyme Neuroborreliosis: A Meta-Analysis.

Lyme neuroborreliosis (LNB), which is the most common neurological manifestation of Lyme disease (LD), seriously impairs both the central and peripheral nervous systems. Current LNB diagnostic methods and criteria are not very effective. Recently, several studies have indicated that a high concentration of the chemokine CXC ligand 13 (CXCL13) in cerebrospinal fluid (CSF) could be used as a new biomarker for the diagnosis of LNB. Thus, we carried out a meta-analysis to systematically analyze the data from these studies to evaluate the value of CXCL13 as an LNB biomarker. After searching for articles in several databases, including PubMed, Embase, the Cochrane Library, and the China National Knowledge Infrastructure (CNKI), we included 7 articles in the meta-analysis with a total of 1299 patients with LNB or other neuroinflammatory diseases. From these 1299 patients, 343 patients with LNB served as the experimental group and 956 patients with other neuroinflammatory diseases or healthy individuals served as the control group. The analyses were performed using Meta-Disc1.4 statistical software. Based on the pooled specificity, sensitivity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and summary receiver operating characteristic curve, we found that CXCL13 indeed has a high sensitivity and specificity for diagnosing LNB, which means that it can be used as a new diagnostic biomarker for the diagnosis of LNB.