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Changes in Host Cytokine Patterns of TB Patients with Different Bacterial Loads Detected Using 16S rRNA Analysis.

Changes in Host Cytokine Patterns of TB Patients with Different Bacterial Loads Detected Using 16S rRNA Analysis.
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Heslop R, Bojang AL, Jarju S, Mendy J, Mulwa S, Secka O, Mendy FS, Owolabi O, Kampmann B, Sutherland JS,


Heslop R, Bojang AL, Jarju S, Mendy J, Mulwa S, Secka O, Mendy FS, Owolabi O, Kampmann B, Sutherland JS, (click to view)

Heslop R, Bojang AL, Jarju S, Mendy J, Mulwa S, Secka O, Mendy FS, Owolabi O, Kampmann B, Sutherland JS,

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PloS one 2016 12 1611(12) e0168272 doi 10.1371/journal.pone.0168272

Abstract
BACKGROUND
Tuberculosis (TB) has overtaken HIV as the biggest infectious disease killer, with the majority of deaths occurring in sub-Saharan Africa. However it is unknown how differences in bacterial load alter host immune profiles in the sputum and blood of TB patients.

METHODS
16S ribosomal RNA analysis was used to determine bacterial load in sputum samples obtained from 173 patients with active TB (57 pre-treatment and 116 post-treatment). Host analyte concentrations in sputum and Mycobacterium tuberculosis (Mtb) antigen stimulated whole blood assay supernatants were analysed using multiplex cytokine arrays.

RESULTS
Multiple logistic regression adjusting for age, sex and HIV status showed highly significant correlation of bacterial load with IL1β, IL2, IL1RA, IL4, IL6, IL8, IL9, IL15, IL17, EOTAX, FGF, IFN-γ, GCSF, MCP1, M1P1α, M1P1β, PDGF, TNFα, VEGF in sputum. With increasing time on treatment, FGF levels in sputum displayed the most significant inverse correlation with reduction in bacterial load.

CONCLUSIONS
We show that differences in bacterial load correlates with changes in several host biomarkers. These findings have implications for development of tests for TB diagnosis and treatment response.

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