10 research outputs found

    Additional file 5: of Profiling persistent tubercule bacilli from patient sputa during therapy predicts early drug efficacy

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    Figure S1. An illustration of the computation process to test associations between transcriptional signatures and patient variables. Figure S2. Venn diagrams describing the overlapping transcriptional signatures of bacilli in sputum relative to aerobic log phase growth. Figure S3. Box and whisker plots mapping the differential expression of gene families. Figure S4. Hierarchical clustering of the mean M.tb transcriptional profiles derived from sputa. Figure S5. Venn diagram highlighting genes significantly induced 3 days after the start of drug therapy. Figure S6. Contrasting patient trajectories as defined by principle component analysis plotting day 0 and day 3 timepoints only. (PDF 526 kb

    Additional file 4: Figure S3. of Blood and sputum eosinophils in COPD; relationship with bacterial load

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    The blood eosinophil count at baseline and exacerbation in patients defined as PPM positive or PPM negative at exacerbation (PPM threshold value of 1x10 ). PPM=potentially pathogenic microorganisms. Dotted lines represent median values. (PPTX 274 kb

    Additional file 1: of Liver toxicity associated with tuberculosis chemotherapy in the REMoxTB study

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    Table S1. Daily dosing of TB medications for patients randomised into REMoxTB based on weight at screening. Table S2. The Roussel–Uclaf causality assessment method (RUCAM) for causality assessment of adverse drug reactions. Table S3. Child–Pugh scoring system for grading the prognosis of chronic liver disease. Figure S1. Graphs showing the median ALT and AST values for all patients at scheduled blood draws in all three treatment arms. (DOCX 318 kb
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