Search

Effector T lymphocyte responses are considered critical for controlling human immunodeficiency virus type-1 (HIV-1) infection. The enzyme-linked immunospot (ELISpot) assay has emerged as a primary means of assessing HIV-specific T cell responses, and the development of objective methods that distinguish positive and negative ELISpot responses while properly controlling the rate of false positives is critical. In this paper, we consider several statistical methods that are helpful in defining such a positive criterion. Simulation results under a variety of scenarios suggest that a permutation-based criterion using a resampling adjustment for multiple comparisons yields the desired false positive rate while remaining competitive with other potential criteria in terms of sensitivity. These results also provide guidance on the effect of the number of experimental and negative control replicate wells on assay sensitivity. Application of different potential positive criteria using ELISpot assay results from IFN-γ-secreting T cells of HIV-1 seropositive and seronegative donors confirmed several of the results obtained under simulation. Our findings support the application of statistically-based positive criteria such as the permutation-based resampling approach in assessing HIV vaccine-induced T cell responses. Moreover, the proposed methods have potential utility in related HIV immunopathogenesis studies and in non-HIV clinical vaccine trials. [Copyright &y& Elsevier]

Different single-cell analyses for the detection of antigen-specific T cells based on antigen-triggered induction of cytokine production (elispot, intracellular cytokine staining, cytokine secretion assay, etc.) have been analyzed. In this paper we present the data of a thorough validation of the IFNγ Secretion Assay (ISA, Miltenyi Biotec, Bergisch Gladbach, Germany). In this assay the secreted IFNγ is bound to the cell surface and is then stained as an artificial surface molecule and analyzed by flow-cytometry. The introduction of five quality criteria markedly improved the reproducibility of this assay and made it very reliable (intra-assay variability<5%; inter-assay variability<20%). Recovery experiments further demonstrated that almost 100% of IFNγ+ labeled cells could be detected by this technology. In order to analyze which cell subsets contribute to IFNγ-production, we compared the results obtained in different individuals after VZAg-stimulation. Three different IFNγ-secretion patterns could be discerned. In Pattern 1 there is a predominant and almost equal contribution of T cells and NK cells with a minor contribution of CD3+CD56+ and B cells. Pattern 2, which is most abundant, is characterized by a predominance of NK cells (60–70%). Pattern 3 differs from the previous one in its minor contribution of NK cells. Here T cells predominate the IFNγ secretion. These results clearly demonstrate that the IFNγ+ subset distribution after VZAg-stimulation is not uniform and differs individually. Furthermore, the ISA-technology proves to be very useful in vaccine research. This was demonstrated by testing the IFNγ+ secretion pattern after HBsAg-stimulation in PBMC from HBsAg-vaccinated individuals. [Copyright &y& Elsevier]