Immune profiles of MCP-1 with M tb antigens and recombinant cytokines stimulation in tuberculosis

Tuberculosis is caused by Mycobacterium tuberculosis (M tb), which is recognized by macrophages and produces inflammatory cytokines, and chemokines at the site of infection. The present study was proposed to understand the interaction of M tb antigens, cytokines, and chemokines. We have evaluated the chemokine MCP-1 levels and its expression in PBMCs stimulated with M tb antigens Ag85A, ESAT6 and recombinant cytokines rhTNF-α, rhIFN-γ, rhTGF-β, and rhIL-10 in active pulmonary TB (APTB) patients, household contacts (HHC) at 0 months, 6 months and healthy controls (HC). We have observed low levels of MCP-1 with Ag85A, ESAT6, and rhTNF-α stimulations in APTB 0M compared to HHC and HC (p < 0.0067, p < 0.0001, p < 0.01, p < 0.005, p < 0.0065, p < 0.0001) and significantly increased after treatment with rhTNF-α. The MCP-1 levels with rhIFN-γ were high in APTB, HHC at 0 M and significant between APTB 0 M vs. 6 M, HHC vs. HC, and HHC 0M vs. 6M (p < 0.0352, p < 0.0252, p < 0.00062). The rhTGF-β, rhIL-10 induced high MCP-1 levels in APTB, HHC compared to HC (p < 0.0414, p < 0.0312, p < 0.004, p < 0.0001) and significantly decreased after treatment with rhIL-10 (p < 0.0001). The MCP-1 expression was low with all the stimulations in APTB 0M when compared to HC and after treatment. Whereas, HHC shown low MCP-1 expression with rhTNF-α, rhIFN-γ and Ag85A and high with rhTGF-β, rhIL-10 and ESAT6. In conclusion, the study determined the differential expression and production of MCP-1 with M tb antigens and recombinant cytokines. Further, cohort studies are required to study these interaction to identify the high risk individuals, which might help for TB control.

Unique Profile of Proinflammatory Cytokines in Plasma of Drug-Naïve Individuals with Advanced HIV/TB Co-Infection

HIV-1 infection is characterized by aberrant immune activation, and infection with M. tuberculosis by an unbalanced production of proinflammatory cytokines. The expression of these cytokines in HIV-1/TB coinfection is still understudied. Here, we aimed to compare the production of proinflammatory cytokines in drug-naive patients coinfected with HIV-1 and M. tuberculosis (HIV/TB) compared to patients with respective monoinfections. Plasma samples of patients with HIV/TB coinfection (n = 36), HIV-1 monoinfection (n = 36), and TB monoinfection (n = 35) and healthy donors (n = 36) were examined for the levels of eight proinflammatory cytokines. Their levels were significantly increased in all patient groups compared to healthy donors. At the same time, a drastic decrease in the plasma levels of IFN-γ, TNF-α, Il-1β, IL-15, and IL-17 was detected in patients with HIV/TB coinfection compared to patients with HIV-1 or TB monoinfections. The plasma levels of IL-17 characterized the TB severity: in HIV/TB-coinfected patients with disseminated TB, plasma levels of IL-17 were eight times lower than in patients with less severe TB forms (infiltrative TB or TB of intrathoracic lymph nodes; p < 0.0001). At the same time, HIV/TB-coinfected patients had increased plasma levels of IL-8, IL-12, and IL-18, with the levels of IL-8 correlating with mortality (p < 0.0001). Thus, on the contrary to the patients with HIV-1 or TB monoinfections, HIV/TB-coinfected patients had suppressed production of most of the proinflammatory cytokines associated with antimicrobial immune response, specifically of T-cells involved in the containment of both infections. At the same time, they demonstrated an expansion of proinflammatory cytokines known to originate from both hematopoietic and nonhematopoietic cells, and manifest tissue inflammation. In HIV-1/TB coinfection, this leads to the disruption of granuloma formation, contributing to bacterial dissemination and enhancing morbidity and mortality.

Prediction of Treatment Outcome with Inflammatory Biomarkers after 2 Months of Therapy in Pulmonary Tuberculosis Patients: Preliminary Results

Pro-inflammatory mediators play an important role in the pathogenesis of pulmonary tuberculosis. Consecutively, 26 pulmonary tuberculosis patients were enrolled in our study based on the exclusion criteria. We have used Spearman’s correlation analysis, hierarchical clustering and regression modelling to evaluate the association of 11 biomarkers with culture status after antituberculosis treatment. The results of our study demonstrated that six inflammatory biomarkers of 11, C-reactive protein (CRP), white blood cells (WBC), neutrophils, interferon gamma inducible protein 10, C-reactive protein (CRP) to albumin ratio (CAR) and neutrophil to albumin ratio (NAR), were significantly associated with culture negativity. The predictive ability of a composite model of seven biomarkers was superior to that of any single biomarker based on area under the receiver operating characteristic curve (AUC) analysis, indicating an excellent prediction efficacy (AUC:0.892; 95% CI:0.732-1.0). We also found that the highest significant trends and lower levels of CRP and IP-10 were observed in the two-month treated tuberculosis (TB) patients. We believe that our study may be valuable in providing preliminary results for an additional strategy in monitoring and management of the clinical outcome of pulmonary tuberculosis. Using a panel of predictors added a superior value in predicting culture status after anti-TB therapy.