12 research outputs found

    Ex vivo innate immune cytokine signature of enhanced risk of relapsing brucellosis.

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    BackgroundBrucellosis, a zoonotic infection caused by one of the Gram-negative intracellular bacteria of the Brucella genus, is an ongoing public health problem in PerĆŗ. While most patients who receive standard antibiotic treatment recover, 5-40% suffer a brucellosis relapse. In this study, we examined the ex vivo immune cytokine profiles of recovered patients with a history of acute and relapsing brucellosis.Methodology/principal findingsBlood was taken from healthy control donors, patients with a history of acute brucellosis, or patients with a history of relapsing brucellosis. Peripheral blood mononuclear cells were isolated and remained in culture without stimulation or were stimulated with a panel of toll-like receptor agonists or heat-killed Brucella melitensis (HKBM) isolates. Innate immune cytokine gene expression and protein secretion were measured by quantitative real-time polymerase chain reaction and a multiplex bead-based immunoassay, respectively. Acute and relapse patients demonstrated consistently elevated cytokine gene expression and secretion levels compared to controls. Notably, these include: basal and stimulus-induced expression of GM-CSF, TNF-Ī±, and IFN-Ī³ in response to LPS and HKBM; basal secretion of IL-6, IL-8, and TNF-Ī±; and HKBM or Rev1-induced secretion of IL-1Ī², IL-2, GM-CSF, IFN-Ī„, and TNF-Ī±. Although acute and relapse patients were largely indistinguishable by their cytokine gene expression profiles, we identified a robust cytokine secretion signature that accurately discriminates acute from relapse patients. This signature consists of basal IL-6 secretion, IL-1Ī², IL-2, and TNF-Ī± secretion in response to LPS and HKBM, and IFN-Ī³ secretion in response to HKBM.Conclusions/significanceThis work demonstrates that informative cytokine variations in brucellosis patients can be detected using an ex vivo assay system and used to identify patients with differing infection histories. Targeted diagnosis of this signature may allow for better follow-up care of brucellosis patients through improved identification of patients at risk for relapse

    Systems Biology Approach Predicts Antibody Signature Associated with Brucella melitensis Infection in Humans

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    A complete understanding of the factors that determine selection of antigens recognized by the humoral immune response following infectious agent challenge is lacking. Here we illustrate a systems biology approach to identify the antibody signature associated with Brucella melitensis (Bm) infection in humans and predict proteomic features of serodiagnostic antigens. By taking advantage of a full proteome microarray expressing previously cloned 1406 and newly cloned 1640 Bm genes, we were able to identify 122 immunodominant antigens and 33 serodiagnostic antigens. The reactive antigens were then classified according to annotated functional features (COGs), computationally predicted features (e.g., subcellular localization, physical properties), and protein expression estimated by mass spectrometry (MS). Enrichment analyses indicated that membrane association and secretion were significant enriching features of the reactive antigens, as were proteins predicted to have a signal peptide, a single transmembrane domain, and outer membrane or periplasmic location. These features accounted for 67% of the serodiagnostic antigens. An overlay of the seroreactive antigen set with proteomic data sets generated by MS identified an additional 24%, suggesting that protein expression in bacteria is an additional determinant in the induction of Brucella-specific antibodies. This analysis indicates that one-third of the proteome contains enriching features that account for 91% of the antigens recognized, and after B. melitensis infection the immune system develops significant antibody titers against 10% of the proteins with these enriching features. This systems biology approach provides an empirical basis for understanding the breadth and specificity of the immune response to B. melitensis and a new framework for comparing the humoral responses against other microorganisms

    A 60-Year-Old Man from the Highlands of Peru with Fever and Hemolysis

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    Chronic, Progressive Back Pain, Fever and a Noticeable Paravertebral Mass

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    Ex vivo innate immune cytokine signature of enhanced risk of relapsing brucellosis.

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    Brucellosis, a zoonotic infection caused by one of the Gram-negative intracellular bacteria of the Brucella genus, is an ongoing public health problem in PerĆŗ. While most patients who receive standard antibiotic treatment recover, 5-40% suffer a brucellosis relapse. In this study, we examined the ex vivo immune cytokine profiles of recovered patients with a history of acute and relapsing brucellosis.Blood was taken from healthy control donors, patients with a history of acute brucellosis, or patients with a history of relapsing brucellosis. Peripheral blood mononuclear cells were isolated and remained in culture without stimulation or were stimulated with a panel of toll-like receptor agonists or heat-killed Brucella melitensis (HKBM) isolates. Innate immune cytokine gene expression and protein secretion were measured by quantitative real-time polymerase chain reaction and a multiplex bead-based immunoassay, respectively. Acute and relapse patients demonstrated consistently elevated cytokine gene expression and secretion levels compared to controls. Notably, these include: basal and stimulus-induced expression of GM-CSF, TNF-Ī±, and IFN-Ī³ in response to LPS and HKBM; basal secretion of IL-6, IL-8, and TNF-Ī±; and HKBM or Rev1-induced secretion of IL-1Ī², IL-2, GM-CSF, IFN-Ī„, and TNF-Ī±. Although acute and relapse patients were largely indistinguishable by their cytokine gene expression profiles, we identified a robust cytokine secretion signature that accurately discriminates acute from relapse patients. This signature consists of basal IL-6 secretion, IL-1Ī², IL-2, and TNF-Ī± secretion in response to LPS and HKBM, and IFN-Ī³ secretion in response to HKBM.This work demonstrates that informative cytokine variations in brucellosis patients can be detected using an ex vivo assay system and used to identify patients with differing infection histories. Targeted diagnosis of this signature may allow for better follow-up care of brucellosis patients through improved identification of patients at risk for relapse

    PBMC cytokine gene expression after stimulation.

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    <p>Fold change of gene expression for IL-1Ī², GM-CSF, TNF-Ī±, IFN-Ī³ and IL-10 in PBMCs from control donors or acute or relapse brucellosis patients after stimulation with (A) LPS (B) Heat-killed <i>B. melitensis</i> or (C) R848 (asterisk indicates <i>p</i>ā‰¤0.05).</p

    Basal PBMC cytokine secretion measured by multiplex immunoassay.

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    <p>IL-2, IL-6, IL-8, IL-10, and TNF-Ī± secretion in unstimulated PBMCs from control donors or acute or relapse brucellosis patients (asterisk indicates <i>p</i>ā‰¤0.05). Concentrations indicated by open circles were extrapolated beyond the assay standard curve and values in the red shaded zone fell outside the observable range (OOR).</p

    Hierarchical clustering of patients by gene expression or cytokine secretion.

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    <p>Control (green), acute (blue), and relapse (red) patients were clustered hierarchically by Euclidean distance in their scaled gene expression (A) or cytokine secretion (B) profiles (see <a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0002424#s2" target="_blank">Methods</a>). Response variables are grouped by cytokine, indicated in the left margin, and values are indicated by luminosity. Misclassification rates for each patient after 20 model selection runs are indicated underneath the corresponding patient code (see Supporting <a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0002424#pntd.0002424.s006" target="_blank">Table S1</a>).</p
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