CD4 T Cells Treated with gp120 Acquire a CD45R0+/CD45RA+ Phenotype

A Classifier to Predict Viral Control After Antiretroviral Treatment Interruption in Chronic HIV-1-Infected Patients

OBJECTIVES

To construct a classifier that predicts the probability of viral control after analytical treatment interruptions (ATI) in HIV research trials.

METHODS

Participants of a dendritic cell-based therapeutic vaccine trial (DCV2) constituted the derivation cohort. One of the primary endpoints of DCV2 was the drop of viral load (VL) set point after 12 weeks of ATI (delta VL12). We classified cases as "controllers" (delta VL12 > 1 log10 copies/mL, n = 12) or "noncontrollers" (delta VL12 < 0.5 log10 copies/mL, n = 10) and compared 190 variables (clinical data, lymphocyte subsets, inflammatory markers, viral reservoir, ELISPOT, and lymphoproliferative responses) between the 2 groups. Naive Bayes classifiers were built from combinations of significant variables. The best model was subsequently validated on an independent cohort.

RESULTS

Controllers had significantly higher pre-antiretroviral treatment VL [110,250 (IQR 71,968-275,750) vs. 28,600 (IQR 18737-39365) copies/mL, P = 0.003] and significantly lower proportion of some T-lymphocyte subsets than noncontrollers: prevaccination CD4CD45RA+RO+ (1.72% vs. 7.47%, P = 0.036), CD8CD45RA+RO+ (7.92% vs. 15.69%, P = 0.017), CD4+CCR5+ (4.25% vs. 7.40%, P = 0.011), and CD8+CCR5+ (14.53% vs. 27.30%, P = 0.043), and postvaccination CD4+CXCR4+ (12.44% vs. 22.80%, P = 0.021). The classifier based on pre-antiretroviral treatment VL and prevaccine CD8CD45RA+RO+ T cells was the best predictive model (overall accuracy: 91%). In an independent validation cohort of 107 ATI episodes, the model correctly identified nonresponders (negative predictive value = 94%), while it failed to identify responders (positive predictive value = 20%).

CONCLUSIONS

Our simple classifier could correctly classify those patients with low probability of control of VL after ATI. These data could be helpful for HIV research trial design.

Δ42PD1-TLR4 Augments γδ-T Cell Activation of the Transitional Memory Subset of CD4+ T Cells

TLR ligands can contribute to T cell immune responses by indirectly stimulating antigen presentation and cytokines and directly serving as co-stimulatory signals. We have previously reported that the human endogenous surface protein, Δ42PD1, is expressed primarily on (Vγ9)Vδ2 cells and can interact with TLR4. Since Vδ2 cells possess antigen presentation capacity, we sought to further characterize if the Δ42PD1-TLR4 interaction has a role in stimulating T cell responses. In this study, we found that stimulation of Vδ2 cells not only upregulated Δ42PD1 expression but also increased MHC class II molecules necessary for the antigen presentation. In a mixed leukocyte reaction assay, upregulation of Δ42PD1 on Vδ2 cells elevated subsequent T cell proliferation. Furthermore, the interaction between Δ42PD1-TLR4 augments Vδ2 cell stimulation of autologous CMV pp65-or TT-specific CD4⁺ T cell proliferation and IFN-γ responses, which was specifically and significantly reduced by blocking the Δ42PD1-TLR4 interaction. Furthermore, confocal microscopy analysis confirmed the interaction between Δ42PD1⁺HLA-DR⁺Vδ2 cells and TLR4⁺CD4 T cells. Interestingly, the subset of CD4⁺ T cells expressing TLR4 appears to be PD-1⁺ CD45RO⁺CD45RA⁺ transitional memory T cells and responded to Δ42PD1⁺HLA-DR⁺Vδ2 cells. Overall, this study demonstrated an important biological role of Δ42PD1 protein exhibited by Vδ2 antigen-presenting cells in augmenting T cell activation through TLR4, which may serve as an additional co-stimulatory signal.

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Δ42PD1 is co-expressed with MHC-II on activated Vδ2 cells

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Δ42PD1⁺MHC-II⁺Vδ2 cells interact directly with TLR4⁺CD4⁺T cells in 3D imaging

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TLR4 is highly expressed on the PD-1⁺CD45RO⁺CD45RA⁺CD4⁺T cell subset

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Δ42PD1-TLR4 selectively activates this subset of Ag-specific CD4⁺ T cells

Characterization of immunocompetent cells in human milk of Han Chinese

Immunocompetent cells in colostrum and mature breast milk (42 days after delivery) of 64 Chinese females of Han ethnic background were characterized. The total cell numbers in colostrum and mature breast milk were 593 ± 205 × 10(6)/L and 1.74 ± 0.97 × 10(6)/L, respectively. NK cell is the predominant lymphocyte subtype (12.69%). T cells in colostrum express CD40L and CD25 without stimulation, indicating memory T cells in nature. The CD45RA( +)CD45RO(+) subsets of CD4(+) T cells are present in both colostrum and mature human milk. The percentage of NK cells and the absolute number of CD4(+)CD45RO(+) T cells in colostrum of atopic mothers were significantly lower than those of mothers without atopy (P = .006 and .026, respectively). The absolute numbers of CD4( +) T lymphocytes and their expression of CD40L were significantly reduced in breast milk of mothers who had undergone cesarean section versus vaginal delivery (P < .05), indicating that atopy and cesarean delivery are associated with the phenotypes of lymphocytes in colostrum.