Fig. 1 Effect of preinfection β7Hi CD45RA−CD4+ T cell frequency on HIV acquisition risk in CAPRISA 004 study. Effect of preinfection β7Hi CD45RA−CD4+ T.

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Fig. 1 Effect of preinfection β7Hi CD45RA−CD4+ T cell frequency on HIV acquisition risk in CAPRISA 004 study. Effect of preinfection β7Hi CD45RA−CD4+ T cell frequency on HIV acquisition risk in CAPRISA 004 study. (A) Parent gating strategy for the analysis of frozen PBMCs from the CAPRISA 004 study. The staining profile of PBMCs from a representative HIV-uninfected participant is shown. β7 gating is shown for one representative control and one case sample obtained at an HIV-uninfected time point. (B) Samples from 10 patients (x axis) were assayed from three to five HIV-uninfected visits (colored bars) depending on sample availability. Median coefficient of variation (CV) between HIV-uninfected time points for every individual was calculated. Individual CVs are indicated in boldface and in parentheses in the graph. (C) Sampling time points for the pre-HIV flow cytometry measurements. The number of days before HIV infection that the sample was obtained (x axis) is plotted against β7Hi frequency (y axis). The dashed line represents the median integrin β7Hi expression by CD4+ T cells. (D) Frequency of β7Hi CD45RA−CD4+ T cells in cases (n = 59) and controls (n = 106). Conditional logistic regression analysis was used to measure the effect of preinfection β7Hi frequency on HIV acquisition. (E) Spearman correlation between α4β7Hi CD4+ T cell frequency between the cervix and blood in the Nairobi/Uganda study (n = 54) (F) Infecting viral V2 motifs and pre-HIV frequencies of β7Hi CD4+ T cells. (G) Pre-HIV frequencies of β7Hi CD4+ T cells in cases infected by viruses with V2 loops containing the P/SDI/V and LDI/V motifs (n = 32). Differences between groups were analyzed using unpaired t test. Aida Sivro et al., Sci Transl Med 2018;10:eaam6354 Published by AAAS