The caveolin-1 binding domain of HIV-1 glycoprotein gp41 (CBD1) contains several overlapping neutralizing epitopes.

International audienceThe CBD1 peptide (SLEQIWNNMTWMQWDK), corresponding to the consensus caveolin-1 binding domain in HIV-1 envelope glycoprotein gp41 (CBD1), elicits the production of antibodies that inhibit infection of primary CD4(+) T lymphocytes by various primary HIV-1 isolates. Here we show that HIV-neutralizing antibodies against CBD1 react with multiple conformational epitopes that overlap the highly conserved caveolin-1 binding motif (CBM) with the N-terminal conserved isoleucine residue. The CBM-based peptides IWNNMTWMQW and IWNNMTW when fused to a T helper epitope are immunogenic by inducing high titer CBM-specific antibodies capable of neutralizing HIV-1 infection in primary T lymphocyte cultures. Interestingly, neutralizing immune sera raised against a given peptide do not cross-react with related CBM-derived peptides, thus suggesting the existence of distinct neutralizing epitopes that probably reflect the dynamic conformational features of CBD1. In accord with this, the mixture of neutralizing immune sera raised against several CBM-derived peptides exerts a synergistic neutralizing activity against HIV-1 infection. Finally, the existence of several distinct overlapping epitopes in CBD1 is confirmed by murine monoclonal antibodies that we generated against the CBM-derived chimeric peptides. Our results indicate that CBD1- and CBM-based peptides mimic distinct dynamic conformations of CBD1, and thus such peptides could provide specific immunogens for an efficient vaccine preparation against HIV/AIDS infection

Dynamic Shift from CD85j/ILT-2 to NKG2D NK Receptor Expression Pattern on Human Decidual NK during the First Trimester of Pregnancy

International audienceDuring the first trimester of human pregnancy, Natural Killer (NK) cells of the maternal uterine mucosa (e.g. decidua) have a unique phenotype and are involved in crucial physiological processes during pregnancy. We investigated whether modifications of the NK receptor repertoire occur during the first trimester of pregnancy. We found significantly decreased expression of KIR2DL1/S1 and KIR2DL2/L3/S2 receptors, NKp30 and NKp44 activatory receptors, and the CD85j (ILT-2) inhibitory receptor. We also observed significantly increased expression of the NKG2D activatory receptor at the decidual NK cell surface. By flow cytometry, we further highlighted an evolution of NK subsets between 8 and 12 weeks of gestation, with a shift from the KIR2DL1/S1 + /KIR2DL2/L3/S2 + subset towards the double negative subset, coupled with a decrease of the CD85j + /NKG2D 2 subset in favour of the CD85j 2 /NKG2D + subset. Furthermore, cell surface expression of NK receptor ligands, including CD85j and NKG2D ligands, has been characterized by flow cytometry on decidual immune CD14 + and CD3 + cells. HLA-G, the high affinity ligand of CD85j, was detected on both cell types. In contrast, NKG2D ligands ULBP-2 ULBP-3 and MICA/B were not expressed on CD14 + and CD3 + cells, however a variable expression of ULBP-1 was observed. The ligand expression of KIR2DL1/S1 and KIR2DL2/L3/S2 was also analyzed: the HLA-C molecule was expressed at a low level on some CD14 + cells whereas it was not detected on CD3 + cell surface. NK receptor ligands are known to be also expressed on the invading placental trophoblast cells. Thus, the phenotypic evolutions of decidual NK cells described in this present study may preserve their activation/inhibition balance during the first trimester of pregnancy

Acute plasma biomarkers of T cell activation set-point levels and of disease progression in HIV-1 infection.

T cell activation levels, viral load and CD4(+) T cell counts at early stages of HIV-1 infection are predictive of the rate of progression towards AIDS. We evaluated whether the inflammatory profile during primary HIV-1 infection is predictive of the virological and immunological set-points and of disease progression. We quantified 28 plasma proteins during acute and post-acute HIV-1 infection in individuals with known disease progression profiles. Forty-six untreated patients, enrolled during primary HIV-1 infection, were categorized into rapid progressors, progressors and slow progressors according to their spontaneous progression profile over 42 months of follow-up. Already during primary infection, rapid progressors showed a higher number of increased plasma proteins than progressors or slow progressors. The plasma levels of TGF-β1 and IL-18 in primary HIV-1 infection were both positively associated with T cell activation level at set-point (6 months after acute infection) and together able to predict 74% of the T cell activation variation at set-point. Plasma IP-10 was positively and negatively associated with, respectively, T cell activation and CD4(+) T cell counts at set-point and capable to predict 30% of the CD4(+) T cell count variation at set-point. Moreover, plasma IP-10 levels during primary infection were predictive of rapid progression. In primary infection, IP-10 was an even better predictor of rapid disease progression than viremia or CD4(+) T cell levels at this time point. The superior predictive capacity of IP-10 was confirmed in an independent group of 88 HIV-1 infected individuals. Altogether, this study shows that the inflammatory profile in primary HIV-1 infection is associated with T cell activation levels and CD4(+) T cell counts at set-point. Plasma IP-10 levels were of strong predictive value for rapid disease progression. The data suggest IP-10 being an earlier marker of disease progression than CD4(+) T cell counts or viremia levels

Comparative distribution of patient’s demographic, clinical and immunological characteristics in the derivation and validation sets.

<p>The main characteristics of the patients are listed here for the time point of enrollment during PHI (M0). For each parameter (except gender), the median values and the range are indicated. Plasma IP-10 concentrations were measured by ELISA at M0. For the derivation set, data are shown for those 45 patients out of 46, whose IP-10 was quantified by ELISA. The validation set comprised 88 patients. There was no significant difference between the two sets for any parameter (p>0.11). W: women, M: men, N: number of patients in each set.</p

Plasma protein levels in HIV-1 infected patients.

<p>(<b>A</b>) The levels of 28 proteins in the plasma of 46 acutely infected patients (M0) are expressed as fold change compared to the levels in healthy donors (N = 17). The order of the proteins is presented according to their function (pro-inflammatory, adaptive, IFN-inducible, chemoattractants, hematopoietic and anti-inflammatory). The anti-inflammatory cytokines are presented on the right side of the figure. The dotted horizontal line at Y = 1 corresponds to the value in healthy donors. The boxes represent the median and the 25^th and 75^th percentile, with the line in the middle of the boxes corresponding to the median value. Colored boxes stand for the cytokines, whose levels were significantly different from healthy donors: blue boxes when p<0.05 (as it was the case for IL-1β) and red boxes when p<0.008 (M&W test). (<b>B</b>) Protein concentrations at M0, M1 and M6 of the soluble factors that were elevated at M0. The data are expressed in pg/ml, HD: healthy donors, M: months. Cytokine concentrations below the limit of detection were arbitrarily set at the level of the limit of detection. Dot-plots marked with one asterisk (*) (p<0.05) or two asteriks (**) (p<0.008) represent the cytokines, whose levels were significantly different from healthy donors (M&W test).</p

Immunological, virological and clinical characteristics of rapid progressors versus progressors and slow progressors assembled within patients of the derivation and validation sets.

<p>The derivation set comprised 46 patients (except for IP-10, where values based on the ELISA were available for only 45 patients). The validation set corresponded to 88 patients for all markers. Differences between rapid progressors and the other patients are indicated with the presence of a p value (M&W test). P values below 0.05 were considered to be significant. There was no significant difference regarding the time of enrollment at M0 (estimated days post-infection). (A) CD4⁺ T cells at M0 and M12; (B) Viremia at M0 and M12; (C) number of estimated days post-infection at M0; (D) Plasma IP-10 concentration at M0. M = month.</p

Plasma protein levels at M0 according to disease progression profiles.

<p>The cytokine profiles at M0 are shown for each group of patients: 16 rapid progressors (<b>A</b>), 19 progressors (<b>B</b>), and 11 slow progressors (<b>C</b>). Color code and statistical analyses are as described in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0046143#pone-0046143-g002" target="_blank">Figure 2</a> (corrected threshold, p<0.005). The dotted horizontal line corresponds to the value in healthy donors. (<b>D</b>) Comparison of protein concentrations between the 3 groups of patients (SP, P and RP). Four representative cytokines are shown. The cytokines increasing significantly over groups were IP-10 and IL-10 (Cuzick’s test, p<0.007). When comparing the groups two by two, out of 28 proteins tested, the levels were different only for IP-10 (M&W test,***: p<0.005).</p

Cytokines predictive of immunological set-point levels. (A–E)

<p>Cytokine concentrations in plasma at M0 have been plotted against CD4⁺ T cell counts and T cell activation (CD3⁺CD8⁺CD38⁺HLA-DR⁺) at M6. Six patients, including 4 who were treated at M6, were excluded from the analysis at M6. T cell activation levels were available for 19 patients at M6 (4 SP, 7 SP, 8 RP). The correlations were thus analyzed in 40 patients regarding CD4⁺ T cell counts and viral load and for 19 patients regarding T cell activation. (<b>A</b>) IP-10 levels at M0 plotted against T CD4⁺ counts at M6. (<b>B</b>) IP-10 levels at M0 plotted against T cell activation at M6. (<b>C</b>) IL-18 levels at M0 plotted against T cell activation at M6. (<b>D)</b> TGF-β1 concentrations at M0 plotted against T cell activation at M6. The red line indicates that both the Spearman correlation and the linear regression analysis were significant. <b>(E)</b> Regression analysis for evaluation of the capacity of CD4⁺ T cell counts, VL and cytokines at M0 to predict rapid disease progression. Values obtained for both the derivation set (Luminex and ELISA) and the validation set are shown. Median values of CD4⁺ T cell counts, VL and cytokine levels were used: VL > = 5 log; CD4<570 cells (derivation set); CD4<546 cells (validation set); IP-10> = 869 pg/ml (derivation set, Luminex); IP-10> = 247 pg/ml (derivation set, ELISA); IP-10> = 232 pg/ml (validation set, ELISA).</p