Volume 24, Pages (October 2017)

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Volume 24, Pages 195-204 (October 2017) Cell-Mediated Immune Predictors of Vaccine Effect on Viral Load and CD4 Count in a Phase 2 Therapeutic HIV-1 Vaccine Clinical Trial  Yunda Huang, Giuseppe Pantaleo, Gonzalo Tapia, Brittany Sanchez, Lily Zhang, Monica Trondsen, Arnt-Ove Hovden, Richard Pollard, Jürgen Rockstroh, Mats Ökvist, Maja A. Sommerfelt  EBioMedicine  Volume 24, Pages 195-204 (October 2017) DOI: 10.1016/j.ebiom.2017.09.028 Copyright © 2017 The Authors Terms and Conditions

Fig. 1 CONSORT diagram showing the availability of immunological samples for the vaccine effect prediction analysis of the phase 2 Vacc-4x clinical study. EBioMedicine 2017 24, 195-204DOI: (10.1016/j.ebiom.2017.09.028) Copyright © 2017 The Authors Terms and Conditions

Fig. 2 Correlations between week 1 and week 28 immune responses in the Vacc-4x group (upper diagonal) and placebo group (lower diagonal). The direction and strength of the Spearman correlation coefficients are represented in color grade, where dark red indicates a perfect positive correlation and dark blue indicates a perfect negative correlation. The significance of the correlation is reported as: p<0.05=*; p<0.01=**; and p<0.001=***. EBioMedicine 2017 24, 195-204DOI: (10.1016/j.ebiom.2017.09.028) Copyright © 2017 The Authors Terms and Conditions

Fig. 3 Distributions of immune response variables (wk28/wk1) in relation to Weeks 44, 48, and 52 VL values in the placebo and Vacc-4x groups. Each cell indicates the magnitude of each variable (row) for each placebo or Vacc-4x recipient (column) in color grade, where darker red indicates a higher level and darker blue indicates a lower level. Gray shading indicates missing data. The columns are ordered by Week 52 VL, separately within the placebo and Vacc-4x groups. Panel (a) shows mean-centered magnitude of each measurement in standard deviation scale for each continuous marker in relation to VL (log10-scale); Panel (b) shows dichotomized status of each measurement based on median-cutoff (indicated with a suffix “med.bny”) or positivity (indicated with a suffix “pos”) in relation to VL (log10-scale). EBioMedicine 2017 24, 195-204DOI: (10.1016/j.ebiom.2017.09.028) Copyright © 2017 The Authors Terms and Conditions

Fig. 4 Distributions of immune response variables (wk28/wk1) in relation to Weeks 44, 48, and 52 CD4 count values in the placebo and Vacc-4x groups. Each cell indicates the magnitude of each measurement (row) for each placebo or Vacc-4x recipient (column) in color grade, where darker red indicates a higher level and darker blue indicates a lower level. Gray shading indicates missing data. The columns are ordered by Week 52 CD4 count, separately within the placebo and Vacc-4x groups. Panel (a) shows mean-centered magnitude of each measurement in standard deviation scale for each continuous marker in relation to CD4 count (log10-scale); Panel (b) shows dichotomized status of each measurement based on median-cutoff (indicated with a suffix “med.bny”) or positivity (indicated with a suffix “pos”) in relation to CD4 count (log10-scale). EBioMedicine 2017 24, 195-204DOI: (10.1016/j.ebiom.2017.09.028) Copyright © 2017 The Authors Terms and Conditions

Fig. 5 Distributions of VL or CD4 count by identified wk28/wk1 immunological predictors of vaccine effect. Panel (a) shows VL vs. wk28/wk1 Luminex IFN-γ and TNF-α; Panel (b) shows the distribution of VL by treatment group for wk28/wk1 Luminex IL-6 < and ≥ median (1.07 log10); Panel (c) shows the distribution of CD4 count by treatment group for wk28/wk1 CFSE CD4+ < and ≥ median (1.0 log10). EBioMedicine 2017 24, 195-204DOI: (10.1016/j.ebiom.2017.09.028) Copyright © 2017 The Authors Terms and Conditions