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SWIFT clustering analysis of intracellular cytokine staining flow cytometry data of the HVTN 105 vaccine trial reveals high frequencies of HIV-specific CD4+ T cell responses and associations with humoral responses

Title: SWIFT clustering analysis of intracellular cytokine staining flow cytometry data of the HVTN 105 vaccine trial reveals high frequencies of HIV-specific CD4+ T cell responses and associations with humoral responses
Authors: Tim R. Mosmann; Jonathan A. Rebhahn; Stephen C. De Rosa; Michael C. Keefer; M. Juliana McElrath; Nadine G. Rouphael; Giuseppe Pantaleo; Peter B. Gilbert; Lawrence Corey; James J. Kobie; Juilee Thakar
Source: Frontiers in Immunology, Vol 15 (2024)
Publisher Information: Frontiers Media S.A.
Publication Year: 2024
Collection: Directory of Open Access Journals: DOAJ Articles
Subject Terms: HIV - human immunodeficiency virus; vaccine trial; reanalysis; algorithmic flow cytometry analysis; T cell response; T cell antibody correlation; Immunologic diseases. Allergy; RC581-607
Description: IntroductionThe HVTN 105 vaccine clinical trial tested four combinations of two immunogens - the DNA vaccine DNA-HIV-PT123, and the protein vaccine AIDSVAX B/E. All combinations induced substantial antibody and CD4+ T cell responses in many participants. We have now re-examined the intracellular cytokine staining flow cytometry data using the high-resolution SWIFT clustering algorithm, which is very effective for enumerating rare populations such as antigen-responsive T cells, and also determined correlations between the antibody and T cell responses.MethodsFlow cytometry samples across all the analysis batches were registered using the swiftReg registration tool, which reduces batch variation without compromising biological variation. Registered data were clustered using the SWIFT algorithm, and cluster template competition was used to identify clusters of antigen-responsive T cells and to separate these from constitutive cytokine producing cell clusters.ResultsRegistration strongly reduced batch variation among batches analyzed across several months. This in-depth clustering analysis identified a greater proportion of responders than the original analysis. A subset of antigen-responsive clusters producing IL-21 was identified. The cytokine patterns in each vaccine group were related to the type of vaccine – protein antigens tended to induce more cells producing IL-2 but not IFN-γ, whereas DNA vaccines tended to induce more IL-2+ IFN-γ+ CD4 T cells. Several significant correlations were identified between specific antibody responses and antigen-responsive T cell clusters. The best correlations were not necessarily observed with the strongest antibody or T cell responses.ConclusionIn the complex HVTN105 dataset, alternative analysis methods increased sensitivity of the detection of antigen-specific T cells; increased the number of identified vaccine responders; identified a small IL-21-producing T cell population; and demonstrated significant correlations between specific T cell populations and serum antibody ...
Document Type: article in journal/newspaper
Language: English
Relation: https://www.frontiersin.org/articles/10.3389/fimmu.2024.1347926/full; https://doaj.org/toc/1664-3224; https://doaj.org/article/52dd5afd41534ef9921ac84b943b0929
DOI: 10.3389/fimmu.2024.1347926
Availability: https://doi.org/10.3389/fimmu.2024.1347926; https://doaj.org/article/52dd5afd41534ef9921ac84b943b0929
Accession Number: edsbas.BD2F6AF9
Database: BASE