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IgG3 collaborates with IgG1 and IgA to recruit effector function in RV144 vaccinees
Stephanie Fischinger, Sepideh Dolatshahi, Madeleine F. Jennewein, Supachai Rerks-Ngarm, Punnee Pitisuttithum, Sorachai Nitayaphan, Nelson Michael, Sandhya Vasan, Margaret E. Ackerman, Hendrik Streeck, Galit Alter
Stephanie Fischinger, Sepideh Dolatshahi, Madeleine F. Jennewein, Supachai Rerks-Ngarm, Punnee Pitisuttithum, Sorachai Nitayaphan, Nelson Michael, Sandhya Vasan, Margaret E. Ackerman, Hendrik Streeck, Galit Alter
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Research Article AIDS/HIV Vaccines

IgG3 collaborates with IgG1 and IgA to recruit effector function in RV144 vaccinees

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Abstract

While the RV144 HIV vaccine trial led to moderately reduced risk of HIV acquisition, emerging data from the HVTN702 trial point to the critical need to reexamine RV144-based correlates of reduced risk of protection. While in RV144, the induction of V2-binding, non-IgA, IgG3 antibody responses with nonneutralizing functions were linked to reduced risk of infection, the interactions between these signatures remain unclear. Thus, here we comprehensively profile the humoral immune response in 300 RV144 vaccinees to decipher the relationships between humoral biomarkers of protection. We found that vaccine-specific IgG1, IgG3, and IgA were highly correlated. However, ratios of IgG1:IgG3:IgA provided insights into subclass/isotype polyclonal functional regulation. For instance, in the absence of high IgG1 levels, IgG3 antibodies exhibited limited functional activity, pointing to IgG3 as a critical contributor, but not sole driver, of effective antiviral humoral immunity. Higher IgA levels were linked to enhanced antibody effector function, including neutrophil phagocytosis (ADNP), complement deposition (ADCD), and antibody-dependent NK degranulation (CD107a), some of which were increased in infected vaccinees in a case/control data set, suggesting that IgA-driven functions compromised immunity. These data highlight the interplay between IgG1, IgG3, and IgA, pointing to the need to profile the relationships between subclass/isotype selection.

Authors

Stephanie Fischinger, Sepideh Dolatshahi, Madeleine F. Jennewein, Supachai Rerks-Ngarm, Punnee Pitisuttithum, Sorachai Nitayaphan, Nelson Michael, Sandhya Vasan, Margaret E. Ackerman, Hendrik Streeck, Galit Alter

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Figure 3

IgG1 is the major driver of effector functions in RV144 vaccinees.

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IgG1 is the major driver of effector functions in RV144 vaccinees.
(A) T...
(A) The correlation plot depicts the relationship between IgG1 and IgG3 levels to gp120 MN across all 300 vaccinees. RV144 vaccinees were divided into 4 groups based on their IgG1 and IgG3 levels against boosting antigen gp120 MN above or below the median across all 300 vaccinees. (B) The whisker box plots individually depict the functional activity across the 4 IgG1/IgG3 groups. ADCP, ADNP, and ADCD levels are shown in the upper row. NK cell–related functions are shown in the lower row. A Kruskal-Wallis test was performed to assess statistical differences between groups. *P < 0.05, ***P < 0.001, ****P < 0.0001. (C) The donut plot depicts the polyfunctional profile across the 4 groups, calculated as the number of functions within the group above the overall 300 individual median for each function. (D) The stacked bar graph depicts the polyfunctionality distribution (0 functions, 1 function, 2 functions, etc.) across the 4 groups. (E) OPLSR analysis for each Fc-mediated effector function against antibody subclass/isotype levels. The bar graph shows the loadings on LV1, where the variable importance in projection (VIP) score is plotted for each subclass/isotype. The direction of the bar depicts if the isotype/subclass positively influences antibody Fc-effector function within the model. P indicates Wilcoxon permutation test. (F) The score plots are shown corresponding to the loading plots for the OPLSR models. Each scatter plot shows the scores for a different effector function, corresponding to the order in E.

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