Literature DB >> 31649662

Bacille Calmette-Guérin Vaccine Strain Modulates the Ontogeny of Both Mycobacterial-Specific and Heterologous T Cell Immunity to Vaccination in Infants.

Agano Kiravu1, Sophia Osawe2, Anna-Ursula Happel1, Trishana Nundalall1, Jerome Wendoh1, Sophie Beer3, Nobomi Dontsa1, Olatogni Berenice Alinde1, Sikiratu Mohammed2, Pam Datong2, D William Cameron4, Kenneth Rosenthal5, Alash'le Abimiku2,6, Heather B Jaspan1,7, Clive M Gray1,8.   

Abstract

Differences in Bacille Calmette-Guérin (BCG) immunogenicity and efficacy have been reported, but various strains of BCG are administered worldwide. Since BCG immunization may also provide protection against off-target antigens, we sought to identify the impact of different BCG strains on the ontogeny of vaccine-specific and heterologous vaccine immunogenicity in the first 9 months of life, utilizing two African birth cohorts. A total of 270 infants were studied: 84 from Jos, Nigeria (vaccinated with BCG-Bulgaria) and 187 from Cape Town, South Africa (154 vaccinated with BCG-Denmark and 33 with BCG-Russia). Infant whole blood was taken at birth, 7, 15, and 36 weeks and short-term stimulated (12 h) in vitro with BCG, Tetanus and Pertussis antigens. Using multiparameter flow cytometry, CD4+ T cell memory subset polyfunctionality was measured by analyzing permutations of TNF-α, IL-2, and IFN-γ expression at each time point. Data was analyzed using FlowJo, SPICE, R, and COMPASS. We found that infants vaccinated with BCG-Denmark mounted significantly higher frequencies of BCG-stimulated CD4+ T cell responses, peaking at week 7 after immunization, and possessed durable polyfunctional CD4+ T cells that were in a more early differentiated memory stage when compared with either BCG-Bulgaria and BCG-Russia strains. The latter responses had lower polyfunctional scores and tended to accumulate in a CD4+ T cell naïve-like state (CD45RA+CD27+). Notably, BCG-Denmark immunization resulted in higher magnitudes and polyfunctional cytokine responses to heterologous vaccine antigens (Tetanus and Pertussis). Collectively, our data show that BCG strain was the strongest determinant of both BCG-stimulated and heterologous vaccine stimulated T cell magnitude and polyfunctionality. These findings have implications for vaccine policy makers, manufacturers and programs worldwide and also suggest that BCG-Denmark, the first vaccine received in many African infants, has both specific and off-target effects in the first few months of life, which may provide an immune priming benefit to other EPI vaccines.
Copyright © 2019 Kiravu, Osawe, Happel, Nundalall, Wendoh, Beer, Dontsa, Alinde, Mohammed, Datong, Cameron, Rosenthal, Abimiku, Jaspan and Gray.

Entities:  

Keywords:  Africa; BCG; Pertussis vaccine; T cells; Tetanus vaccine; immunogenicity; ontogeny; vaccine strain

Year:  2019        PMID: 31649662      PMCID: PMC6793433          DOI: 10.3389/fimmu.2019.02307

Source DB:  PubMed          Journal:  Front Immunol        ISSN: 1664-3224            Impact factor:   7.561


Introduction

Many TB endemic countries provide Bacille Calmette-Guérin (BCG) vaccine to infants routinely soon after birth (1–4). BCG is efficacious against childhood TB, particularly extrapulmonary forms (5). Numerous strains of BCG exist, with various duplications and deletions in protein coding regions (6), which have been shown to affect the type of immunity elicited by the vaccine (1, 7, 8). Although no correlate of protection against Mycobacterium tuberculosis (mTB) exists (9), Th1 CD4+ T cells are believed to be important (10, 11) and are therefore used to measure BCG vaccine immunogenicity (1, 4, 7, 9, 12–14). BCG-Denmark strain has been shown to induce a greater magnitude and polyfunctional CD4+ Th1 cytokine response (8) and also has a range of heterologous effects (3, 15–17). For example, in adults, BCG-Denmark increases monocyte cytokine production against unrelated antigen stimulation; where such “trained immunity” after primary infection or vaccination has been shown to confer protection against secondary infection, independent of the adaptive immune system (16). Additionally, in adults BCG-Denmark increases Th1 and Th17 responses to in vitro stimulation with heterologous antigen (18). BCG-Denmark vaccinated infants had higher IFN-γ responses to Phytohaemagglutinin (PHA) and Tetanus Toxoid (TT) vs. those vaccinated with BCG-Russia in cultured whole blood supernatants (17). In low birth weight infants, BCG-Denmark vaccination has been associated with increased innate cytokine levels in whole blood stimulated with Toll-like receptor (TLR) ligands (19). Whether vaccine strains other than BCG-Denmark have a similar effect on T cell responses to unrelated antigens in newborn infants in Africa has not been assessed. In our study, we compared CD4+ T cell immunity to BCG, Tetanus and Pertussis vaccines in two cohorts of newborn infants recruited from Jos, Nigeria and Khayelitsha, Cape Town, South Africa, and then interrogated the effects of BCG strain further in the Cape Town cohort. We show that BCG vaccine strain not only impacts significantly on CD4+ T cell polyfunction and memory maturation, but also on heterologous T cell responses to other vaccines.

Methods

Cohort Description

Mother-infant pairs were recruited at the Midwifery Obstetric Unit (MOU) at Site B in Khayelitsha, Cape Town (CT), South Africa and the Plateau State Specialist Hospital in Jos, Nigeria from November 2014 to November 2016 (Table 1). Infants were followed from birth, at day 4–7 and at weeks 7, 15, and 36 of life. Voluntary counseling and HIV testing was done at the time of antenatal care registration. Both HIV-infected and HIV-uninfected mothers were eligible for the study. HIV-infected mothers and their infants were provided with anti-retrovirals (ARV) according to the current country-specific guidelines (20, 21). All mothers in the study were of consenting age and provided written informed consent. Exclusive breastfeeding (EBF) was advised to all mothers from delivery to at least 6 months. Infants born before 36 weeks and with birth weights lower than 2.4 kg were ineligible for the study. Further exclusion criteria included pregnancy or delivery complications as previously described (22). All HIV-exposed uninfected (HEU) infants were confirmed as negative by PCR at delivery and at later time points according to prevention of mother-to-child transmission (PMTCT) guidelines (20, 21).
Table 1

Infant participant characteristics.

BCG immunizing strainP-value
Denmark (n = 154)*Russia (n = 32)*Bulgaria (n = 84)
Gestational age (weeks)38 [37–39]38 [38–39]38 [38–39]0.22
Birth weight (grams)3,025 [2,778–3,330]2,930 [2,840–3,230]3,000 [2,700–3,300]0.16
Birth length(centimeters)48 [46–50]47 [46–50]47 [46–49]0.10
Female (%)89 (58)18 (57)34 (41)0.29
HIV exposed (%)105 (66)17 (54)65 (78)0.03

Infants from Cape Town cohort.

Numbers represent median and [IQR].

Kruskal-Wallis Test was applied to test differences across BCG strains for continuous variables.

Chi Squared test was used for categorical variables.

Infant participant characteristics. Infants from Cape Town cohort. Numbers represent median and [IQR]. Kruskal-Wallis Test was applied to test differences across BCG strains for continuous variables. Chi Squared test was used for categorical variables.

Immunization

Routine vaccines were given to all infants according to the WHO's Expanded Program on Immunization (EPI) (Supplementary Table 1). Infants from CT received intradermal Danish BCG strain (1331, Statens Serum Institute, Denmark) from April 2013 to January 2016 and thereafter Russian strain (BCG-I Moscow, Serum Institute of India, India). Both strains were given at 2 × 105 CFU/dose at birth. Infants from Jos received the Bulgarian strain (BCG-SL 222 Sofia, BB-NCIPD Ltd., Bulgaria) at 0.3 × 105 CFU/dose at 4–7 days after birth.

Whole Blood Assay

A 12-h whole blood assay was used to evaluate vaccine responses as previously described (23). Briefly, 250 μL of anticoagulated blood was incubated with vaccine antigens or PHA at 37°C within 1 h of blood draw. For BCG, 12 × 105 CFU/mL of Mycobacterium bovis was reconstituted in RPMI from either the vaccine vial (BCG-Denmark strain 1331; SSI or BCG-SL 222 Sofia strain; BB-NCIPD) or live BCG culture (BCG-Denmark strain 1331; AJVaccines, Denmark; Supplementary Table 2). TT antigen (Sanofi Pasteur) was used at 5 IU/mL and 0.01% v/v of Bordetella Pertussis (BP) antigens (BD Difco). PHA (50 μg/mL) or RPMI with 10% fetal calf serum (FCS) were used as positive and negative controls. After 5 h, Brefeldin-A (Sigma Aldrich) was added to a final concentration of 10 μg/mL and incubated for an additional 7 h. Thereafter, red blood cells were lysed followed by washing and staining with LIVE/DEAD® fixable Violet stain (ViViD, ThermoFisher). For the CT samples, cells were cryo-preserved in 10% DMSO and 90% FCS and stored immediately in liquid nitrogen (LN2). For Jos samples, cells were cryo-preserved in 10% DMSO and 90% FCS, stored at −70°C and shipped within 6 months to the University of Cape Town (UCT) and then transferred to LN2. Analysis of all samples was performed at the core laboratory at UCT.

Cell Staining, Antibodies and Flow Cytometry

Batched stored samples were thawed quickly at 37°C and washed twice with 1X BD PermWash buffer. Cells were then incubated in 1X BD PermWash for 10 min before incubation with the antibody cocktail mix in 2% FCS at 4°C for 45 min. After incubation, cells were washed twice with PBS (2% FCS) and the resuspended in 0.3 mL PBS for cell acquisition using a Beckton Dickinson LSRII flow cytometer (SORF model). The following monoclonal antibody-fluorochrome conjugates were used: IL-2-R-phycoerythrin (PE), CD8-V500, IFN-γ-Alexa Fluor-700, TNF-α-PE-Cy7, Ki67-Fluorescein isothiocyanate (FITC), all from BD, CD27 PE-Cy5, HLA-DR- Allophycocyanin-Cy7 (APC-Cy7), CD3-BV650 (Biolegend), CD4 PE-Cy5.5 (Invitrogen), CD45RA PE-Texas Red-X (Beckman Coulter). A minimum of 50,000 ViViD negative (viable) CD3 events were collected using FACS DIVA v6 software. Post-acquisition compensation and analysis was performed in FlowJo version 9 (FlowJo, LLC). Supplementary Figure 1 shows the gating strategy employed.

Statistical Analyses

All analysis was performed in R (24). Non-parametric comparisons between two independent groups was performed using Wilcoxon rank sum test (Mann Whitney U-test). Kruskal Wallis tests was used for longitudinal data. Holm's step down method was used for multiple comparison correction (25), and adjusted P values are reported. Cytokine combinations were assessed using SPICE software (26). For cytokine profiling analyses in SPICE, we only analyzed samples from participants classified as antigen responders (total CD4+ cytokine > 2 X median background) to avoid skewing related to samples that were likely to be background. In addition to SPICE, we used a more unbiased statistical approach by measuring polyfunctionality with COMPASS (Combinatorial polyfunctionality analysis of antigen- specific T-cell subsets) (27) to estimate the posterior probabilities of antigen specific T cell subsets. COMPASS is a statistical model for multi-functional (e.g., multiple cytokine subsets) analysis of flow cytometry data sets. Polyfunctionality scores which summarize the functional profile of each subject were calculated from posterior probabilities as described (27).

Results

Cohort Characteristics

A total of 186 samples from CT and 84 samples from Jos covering the first 9 months of life were included in this study (Table 1). There were no differences in gestational age at delivery, birth weight or length according to vaccine strain; BCG-Denmark, BCG-Bulgaria, and BCG-Russia. Although there were more infants who were born to HIV-infected mothers in the BCG-Bulgaria group, we identified no differences in any measured response between HIV-exposed and unexposed infants (Supplementary Table 3).

Magnitude of Mycobacterial-Specific CD4+ T Cell Cytokine Responses Differ According to BCG Strain

In January 2016, BCG-Denmark became unavailable and the South African EPI program began using BCG-Russia (Supplementary Table 1). BCG-Russia is genetically identical to BCG-Bulgaria (28), the strain given to infants in Nigeria. We hypothesized that immunogenicity to BCG-Denmark would differ to that of Russian and Bulgarian BCG immunized infants. We compared the magnitude of cytokine responses in infants vaccinated with both strains in CT vs. Jos. Infant samples were re-stimulated in vitro with the matched antigen, except cells from CT infants vaccinated with BCG-Russia were stimulated with BCG-Denmark culture (SSI) in vitro (Supplementary Table 2). We confirmed that the in vitro stimulating antigen did not impact the T cell cytokine magnitude and polyfunctional response (Supplementary Figure 2). As expected, total CD4 cytokine response magnitudes were comparable between strains before vaccination (Figures 1A,B). At week 7 post BCG vaccination, however, the BCG-Denmark strain vaccinated infants had significantly higher frequencies of CD4+ cytokine-producing cells over background (median = 0.83%) compared to both Jos infants vaccinated with BCG-Bulgaria (median = 0.23%) and CT infants vaccinated with BCG-Russia (median = 0.23%, P < 0.0001 for both; Figures 1A,B). Although there may be bias in the magnitude of responses in this cross-sectional analysis, our longitudinal data from matched samples across all time points emphasized that infants vaccinated with BCG-Denmark, peaking at week 7 (Figure 1B), had significantly higher CD4 responses compared to BCG-Russia vaccinated infants at weeks 7 (median = 0.92 vs. 0.11, P < 0.0001), 15 (median = 0.40 vs. 0.17, P = 0.03), and 36 (median = 0.23 vs. 0.05, P = 0.006; Figure 1B).
Figure 1

Magnitude of mycobacterial-specific CD4+ T cell cytokine responses differ between strains. (A) Cross-sectional analysis of mycobacterial-specific CD4 cytokine responses stratified by BCG immunizing strain. Weeks indicate the time point post vaccination with week 0 the pre-vaccination time point (birth for CT cohort and days 4–7 for Jos cohort). Y axes show the frequencies (%) of CD4+ cells producing total cytokine (any combination of IFN-γ, IL-2 or TNF-α) shown on a Log10 scale. Jitter point colors: Green (BCG-Bulgaria), blue (BCG-Denmark), orange (BCG-Russia), with shaded bars showing median value of unstimulated samples. Boxes with mid-line show interquartile ranges and median. Sample sizes by time point: week 0 (Bulgarian: 15, Danish: 35, Russian 14), week 7 (Bulgarian: 32, Danish: 83, Russian 35), week 15 (Bulgarian: 35, Danish: 66, Russian 17), week 36 (Bulgarian: 22, Danish: 60, Russian 17) Mann-Whitney U test was used to compare strains. Adjusted P-values are reported with P < 0.05 were considered significant after multiple comparisons correction. (B) Kinetics of BCG response stratified by BCG immunizing strain. Y axes show the frequencies (%) of CD4+ cells producing total cytokine (any combination of IFN-γ, IL-2 or TNF-α shown on a Log10 scale) for infants matched at least three time points between week 0 and week 36 (Bulgarian: 5, Danish: 21 Russian: 15). A Kruskal-Wallis test was applied to test differences by BCG strain across time (P < 0.05 were considered significant).

Magnitude of mycobacterial-specific CD4+ T cell cytokine responses differ between strains. (A) Cross-sectional analysis of mycobacterial-specific CD4 cytokine responses stratified by BCG immunizing strain. Weeks indicate the time point post vaccination with week 0 the pre-vaccination time point (birth for CT cohort and days 4–7 for Jos cohort). Y axes show the frequencies (%) of CD4+ cells producing total cytokine (any combination of IFN-γ, IL-2 or TNF-α) shown on a Log10 scale. Jitter point colors: Green (BCG-Bulgaria), blue (BCG-Denmark), orange (BCG-Russia), with shaded bars showing median value of unstimulated samples. Boxes with mid-line show interquartile ranges and median. Sample sizes by time point: week 0 (Bulgarian: 15, Danish: 35, Russian 14), week 7 (Bulgarian: 32, Danish: 83, Russian 35), week 15 (Bulgarian: 35, Danish: 66, Russian 17), week 36 (Bulgarian: 22, Danish: 60, Russian 17) Mann-Whitney U test was used to compare strains. Adjusted P-values are reported with P < 0.05 were considered significant after multiple comparisons correction. (B) Kinetics of BCG response stratified by BCG immunizing strain. Y axes show the frequencies (%) of CD4+ cells producing total cytokine (any combination of IFN-γ, IL-2 or TNF-α shown on a Log10 scale) for infants matched at least three time points between week 0 and week 36 (Bulgarian: 5, Danish: 21 Russian: 15). A Kruskal-Wallis test was applied to test differences by BCG strain across time (P < 0.05 were considered significant).

Polyfunctional Mycobacterial-Specific CD4+ T Cell Cytokine Responses Differ Between Strains

When we examined the combinations of IFN-γ and/or IL-2 and/or TNF-α-expressing CD4+ T cells by BCG strain, we observed that few polyfunctional cells were induced in infants receiving BCG-Bulgaria (Figures 2A,B), with the majority of responding CD4+ T cells being single positive for IFN-γ or IL-2 or TNF-α. Conversely, infants receiving BCG-Denmark had a high proportion of CD4+ T cells expressing all three cytokines, IFN-γ and IL-2 and TNF-α, at week 7. This was durable over time and constituted more than a quarter of the total cytokine response (Figures 2B,C). CT infants receiving BCG-Russia had significantly lower proportions of triple cytokine positive cells compared to BCG-Denmark (e.g, median at week 7, 7 vs. 38%, P = 0.001; Figure 2C). Furthermore, the proportion of dual-expressing IFN-γ+ and IL-2+ CD4+ T cells was higher among BCG-Denmark recipients compared to BCG-Russia recipients (3 vs. 2% at week 7, P = 0.02) and the proportions of dual-expressing IL-2+ and TNF-α+ cells was lower (median at week 7, 8 vs. 13%, P = 0.02). The majority of the total cytokine response among BCG-Russia recipients was made up of CD4+ T cells expressing single TNF-α; significantly more so than that induced by BCG-Denmark (median at week 7, 39 vs. 7%, respectively, P < 0.0001, Figure 2C). For the Bulgarian strain, the majority of responding CD4+ T cells were single IFN-γ, significantly more so than that induced by BCG-Denmark (median at week 7, 52 vs. 12%, respectively, P < 0.0001).
Figure 2

Polyfunction of mycobacterial-specific CD4+ T cell cytokine responses differ between strains. (A) Representative flow cytometry plots showing mycobacterial-specific cytokine expression by CD4+ cells stratified by BCG immunizing strain. Axes show IFN-γ vs. TNF-α expression with IL-2+ cells overlaid and represented by blue dots. Numbers indicate frequency of polyfunctional cells as a percentage of total CD4. (B) Pie charts show median proportions of cytokine combinations (G = IFN-γ, 2 = IL-2, T = TNF-α) as a fraction of the total response among antigen responders in each BCG strain group by SPICE analysis. Pie charts are compared using the SPICE permutations test with P < 0.05 considered significant. (C) Week 7 mycobacterial-specific cytokine profile by BCG immunizing strain. Jitter points show the median proportion of each cytokine combination (G = IFN-γ, 2 = IL-2, T = TNF-α) per infant as a fraction of total cytokine+ cells in infants who were responding to BCG and are color-coded by BCG immunizing strain. Shaded bars show interquartile ranges with line showing median. A Wilcoxon Rank Sum Test was used to compare cytokine combinations by strain with P < 0.01 considered significant after multiple comparison correction. (D) Heatmap of posterior probabilities of mycobacterial-specific responses estimated by COMPASS analysis. Rows represent individual infants and grouped by BCG immunizing strain and time post BCG vaccination (color-coded annotations are shown on right-hand side of heat map). Columns represent cytokine subsets (combinations) ordered by degree of functionality (single to polyfunctional; right to left). The color of each cell corresponds to the probability (range 0–1) of a mycobacterial-specific response for a particular cytokine cell subset per infant, with 1 indicating an antigen-specific response and white indicating background.

Polyfunction of mycobacterial-specific CD4+ T cell cytokine responses differ between strains. (A) Representative flow cytometry plots showing mycobacterial-specific cytokine expression by CD4+ cells stratified by BCG immunizing strain. Axes show IFN-γ vs. TNF-α expression with IL-2+ cells overlaid and represented by blue dots. Numbers indicate frequency of polyfunctional cells as a percentage of total CD4. (B) Pie charts show median proportions of cytokine combinations (G = IFN-γ, 2 = IL-2, T = TNF-α) as a fraction of the total response among antigen responders in each BCG strain group by SPICE analysis. Pie charts are compared using the SPICE permutations test with P < 0.05 considered significant. (C) Week 7 mycobacterial-specific cytokine profile by BCG immunizing strain. Jitter points show the median proportion of each cytokine combination (G = IFN-γ, 2 = IL-2, T = TNF-α) per infant as a fraction of total cytokine+ cells in infants who were responding to BCG and are color-coded by BCG immunizing strain. Shaded bars show interquartile ranges with line showing median. A Wilcoxon Rank Sum Test was used to compare cytokine combinations by strain with P < 0.01 considered significant after multiple comparison correction. (D) Heatmap of posterior probabilities of mycobacterial-specific responses estimated by COMPASS analysis. Rows represent individual infants and grouped by BCG immunizing strain and time post BCG vaccination (color-coded annotations are shown on right-hand side of heat map). Columns represent cytokine subsets (combinations) ordered by degree of functionality (single to polyfunctional; right to left). The color of each cell corresponds to the probability (range 0–1) of a mycobacterial-specific response for a particular cytokine cell subset per infant, with 1 indicating an antigen-specific response and white indicating background. We evaluated polyfunctional scores (PFS) and posterior probabilities for each cytokine combination using COMPASS (27). As shown in the heatmap of posterior probabilities for all BCG responses in Figure 2D, there was a higher proportion of BCG-Denmark recipients with antigen-specific dual and polyfunctional responses compared with BCG-Russia and BCG-Bulgaria recipients. Only the BCG-Denmark strain elicited durable polyfunctional responses from 7 to 36 weeks as reflected in the PFS (Figure 2D, Supplementary Figure 3A). This more unbiased approach to Th1 polyfunctionality is compatible with our SPICE analyses (Figure 2B) and shows that BCG-Denmark elicits a more functional immune response in the newborn infant. Furthermore, these data highlight that the higher total cytokine expression is more likely to be a polyfunctional response, as observed through the significant association between PFS and the magnitude of BCG responses (Supplementary Figure 3B). Collectively, these data show that BCG-Denmark is more immunogenic than BCG-Bulgaria and BCG-Russia strains, characterized by a higher magnitude of response and a more polyfunctional cytokine profile. When only comparing CT infants i.e., BCG-Danish vs. BCG-Russia, thereby removing the potential confounding effect of cohort site, we found BCG-Denmark was significantly more immunogenic than BCG-Russia.

BCG-Denmark Induces a More Differentiated T Cell Memory Phenotype Compared to BCG-Russia or BCG-Bulgaria Strains

To better understand whether BCG-Denmark may result in a more mature antigen-stimulated CD4+ T cell memory differentiation, which along with greater polyfunctionality provides important insight into protective responses against infections (29–32), we compared the memory phenotypes of the total cytokine BCG responding cells (i.e., cytokine positive) defined as naïve (CD27+CD45RA+), early differentiated (ED, CD27+CD45RA–), late differentiated (LD, CD27–CD45RA–) and terminally differentiated (TD, CD27–CD45RA+) CD4+ T cells. Our analysis of these subsets was restricted to only those infant cells that responded to BCG (>2-fold background). A large population of cytokine positive cells with a naïve phenotype (CD27+CD45RA+) was evident, which we hereon refer to as naïve-like (Figure 3A). Although there was a large range in the frequency of cytokine cells expressing memory subsets, we consistently observed that BCG-Denmark induced a lower frequency of these naïve-like cells across all time points post BCG vaccination (Figures 3A,B). BCG-Denmark induced a predominantly ED profile (Figure 3B), particularly at week 15 where BCG-Denmark induced the lowest frequencies of CD4+ cytokine positive cells expressing naïve-like markers (median = 22%) compared to BCG-Bulgaria and BCG-Russia (median = 40 and 36%, respectively, P = 0.02 and P = 0.04). Conversely, the CD4+ cytokine positive cells expressing ED markers were highest among BCG-Denmark vaccinated infants (median = 53%) compared to BCG-Bulgaria and BCG-Russia (37 and 33%; P = 0.03 and P = 0.04, respectively). Collectively, these data suggest that BCG-Denmark pushes cells into more differentiated memory state, which may explain the higher magnitude and polyfunctionality of response. Conversely, vaccination with BCG-Russia or -Bulgaria results in the probable accumulation of naïve-like CD4+ T cell responses.
Figure 3

BCG-Denmark induces a more differentiated T cell memory phenotype compared to BCG-Russia or BCG-Bulgaria strains. (A) Representative flow cytometry plots showing the memory profile of mycobacterial-specific (cytokine positive) CD4 cytokine responses stratified by BCG immunizing strain. Axes show CD27 vs. CD45RA expression and blue dots are cytokine+ cells responding to BCG overlaid against a background of total CD4+ cells. CD45RA+CD27+ represent naïve-like, CD45RA–CD27+ early differentiated (ED), CD45RA–CD27– late differentiated (LD) and CD45RA+CD27– terminally differentiated (TD) phenotypes. (B) Frequency of mycobacterial-specific memory subsets stratified by BCG immunizing strain. Jitter point colors: Green (BCG-Bulgaria), blue (BCG-Denmark), orange (BCG-Russia), show the proportion of cytokine+ cells co-expressing combinations of memory markers CD45RA and CD27 that define memory subsets (as listed in (A). Boxes with mid-line show interquartile ranges and median. Mann-Whitney U test was used to compare strains with P < 0.01 were considered significant after multiple comparisons correction.

BCG-Denmark induces a more differentiated T cell memory phenotype compared to BCG-Russia or BCG-Bulgaria strains. (A) Representative flow cytometry plots showing the memory profile of mycobacterial-specific (cytokine positive) CD4 cytokine responses stratified by BCG immunizing strain. Axes show CD27 vs. CD45RA expression and blue dots are cytokine+ cells responding to BCG overlaid against a background of total CD4+ cells. CD45RA+CD27+ represent naïve-like, CD45RA–CD27+ early differentiated (ED), CD45RA–CD27– late differentiated (LD) and CD45RA+CD27– terminally differentiated (TD) phenotypes. (B) Frequency of mycobacterial-specific memory subsets stratified by BCG immunizing strain. Jitter point colors: Green (BCG-Bulgaria), blue (BCG-Denmark), orange (BCG-Russia), show the proportion of cytokine+ cells co-expressing combinations of memory markers CD45RA and CD27 that define memory subsets (as listed in (A). Boxes with mid-line show interquartile ranges and median. Mann-Whitney U test was used to compare strains with P < 0.01 were considered significant after multiple comparisons correction.

Strain of BCG Impacts CD4+ T Cell Responses to Heterologous Antigens

Given that BCG has been shown to have heterologous effects to non-BCG antigens (3, 16, 17, 33), we examined the effect of BCG strain on CD4+ T cell responses to TT, BP, and PHA. We focused only on CT infants and compared those who received BCG-Denmark vs. BCG-Russia strains, and thus removed the potential confounding effects of geography, genetic background of participants and different vaccination strategies. Infants vaccinated with BCG-Denmark had significantly higher frequencies of total Th1 cytokine-producing cells to TT, BP, and PHA compared to those had receiving BCG-Russia (Figure 4). This was most marked at week 15 after birth where, on average, infants vaccinated with BCG-Denmark mounted 3-fold higher responses to TT over BCG-Russia (Figure 4, median = 0.2 vs. 0.06%, respectively, P = 0.002), 2-fold for BP response (median = 0.12 vs. 0.06%, respectively, P = 0.01) and 5-fold PHA response (median 0.9 vs. 0.17% respectively, P = 0.001). These BCG-strain-related effects were also evident at week 7 for BP and TT antigens, despite the fact that the first dose of these vaccines is given at 6 weeks of age (Supplementary Table 1). We examined the polyfunctionality of these responses at week 7, when the BCG response itself peaked (Figures 5A–C). The BCG-Denmark strain also induced significantly higher proportions of polyfunctional (IFN-γ+ and TNF-α+ and IL-2+) CD4 cells to TT (P = 0.001), BP (P = 0.0007), and PHA (P = 0.0001) (Figure 5C). There was also a significantly higher proportion of single TNF-α+ responding CD4+ T cells to TT, BP, and PHA (Figure 5C) after BCG-Russia immunization. Using COMPASS analysis for TT and BP responses, we found that BCG-Denmark was associated with higher probabilities of polyfunctional and dual functional antigen-specific responses (Supplementary Figure 4). Specifically, BCG-Denmark induced higher PFS to TT at week 36 (P = 0.01) and a slight trend towards higher PFS to BP at week 36. Collectively, our data show that the strain used for BCG vaccination has a profound impact on the magnitude and polyfunctionality of CD4+ T cell responses to unrelated heterologous vaccine antigens.
Figure 4

BCG strain impacts CD4+ T cells responses to heterologous antigens. Cross-sectional CD4 cytokine responses to heterologous antigens TT, BP, and PHA stratified by BCG immunizing strain. Y axes show the frequencies (%) of CD4+ cells producing total cytokine (any combination of IFN-γ, IL-2, or TNF-α) shown on a Log10 scale. Jitter point colors: blue (BCG-Denmark), orange (BCG-Russia), with shaded bars showing median value of unstimulated samples. Boxes with mid-line show interquartile ranges and median. Mann-Whitney U test was used to compare strains. Adjusted P-values are reported with P < 0.05 were considered significant after multiple comparisons correction.

Figure 5

BCG strain impacts CD4+ T cells cytokine profile to heterologous antigens. (A) Representative flow cytometry plots showing TT, BP, and PHA-specific cytokine expression by CD4+ cells stratified by BCG immunizing strain at week 7. Numbers indicate frequency of polyfunctional cells as a percentage of total CD4. Axes show IFN-γ vs. TNF-α expression with IL-2+ cells overlaid and represented by blue dots. (B) Pie charts show median proportions of cytokine combinations (G = IFN-γ, 2 = IL-2, T = TNF-α) as a fraction of the total response among antigen responders in each BCG strain group by SPICE analysis. Pie charts are compared using the SPICE permutations test with P < 0.05 considered significant. (C) Week 7 heterologous antigens TT, BP, and PHA cytokine profile by BCG immunizing strain. Jitter points show the median proportion of each cytokine combination per infant as a fraction of total cytokine+ cells in infants who were responding to antigen and are color-coded by BCG immunizing strain [Green (BCG-Bulgaria), blue (BCG-Denmark), orange (BCG-Russia)]. Shaded bars show interquartile ranges with line showing median. A Wilcoxon Rank Sum Test was used to compare cytokine combinations by strain with P < 0.01 considered significant after multiple comparison correction.

BCG strain impacts CD4+ T cells responses to heterologous antigens. Cross-sectional CD4 cytokine responses to heterologous antigens TT, BP, and PHA stratified by BCG immunizing strain. Y axes show the frequencies (%) of CD4+ cells producing total cytokine (any combination of IFN-γ, IL-2, or TNF-α) shown on a Log10 scale. Jitter point colors: blue (BCG-Denmark), orange (BCG-Russia), with shaded bars showing median value of unstimulated samples. Boxes with mid-line show interquartile ranges and median. Mann-Whitney U test was used to compare strains. Adjusted P-values are reported with P < 0.05 were considered significant after multiple comparisons correction. BCG strain impacts CD4+ T cells cytokine profile to heterologous antigens. (A) Representative flow cytometry plots showing TT, BP, and PHA-specific cytokine expression by CD4+ cells stratified by BCG immunizing strain at week 7. Numbers indicate frequency of polyfunctional cells as a percentage of total CD4. Axes show IFN-γ vs. TNF-α expression with IL-2+ cells overlaid and represented by blue dots. (B) Pie charts show median proportions of cytokine combinations (G = IFN-γ, 2 = IL-2, T = TNF-α) as a fraction of the total response among antigen responders in each BCG strain group by SPICE analysis. Pie charts are compared using the SPICE permutations test with P < 0.05 considered significant. (C) Week 7 heterologous antigens TT, BP, and PHA cytokine profile by BCG immunizing strain. Jitter points show the median proportion of each cytokine combination per infant as a fraction of total cytokine+ cells in infants who were responding to antigen and are color-coded by BCG immunizing strain [Green (BCG-Bulgaria), blue (BCG-Denmark), orange (BCG-Russia)]. Shaded bars show interquartile ranges with line showing median. A Wilcoxon Rank Sum Test was used to compare cytokine combinations by strain with P < 0.01 considered significant after multiple comparison correction.

Discussion

Our study shows that the magnitude and polyfunctional nature of CD4+ T cell responses to BCG and other heterologous antigens in the first few months of life depends on the immunizing strain of BCG itself. BCG-Denmark is the most immunogenic compared with BCG-Russia and BCG-Bulgaria and causes an early differentiated phenotype in memory CD4+ T cells. The other strains appear to allow the accumulation of naïve-like responsive cells, which seem to be more mono-functional. The important aspect of our study is that responding CD4+ T cells to all vaccine antigens, including Tetanus and Pertussis, were significantly affected by the strain of immunizing BCG, with the Denmark strain inducing the highest magnitude of responses and a Th1 polyfunctional subset. Furthermore, the relatively advanced stage of CD4+ T cell memory maturation in response to BCG-Denmark may explain the phenomena of infant cells responding with greater magnitude and Th1 polyfunction. Prior studies have suggested that BCG-Denmark may be more immunogenic than other widely available BCG strains. A randomized control trial in Uganda administering the same BCG strains used in this study showed that BCG-Denmark induced the highest levels of IFN-γ, IL-13, and IL-5 in culture supernatants to BCG, TT, and PHA stimulation (17). The cellular source of cytokine production, however, was not measured due to the nature of the assay used. In support of our data, CD4 polyfunctionality among infants randomized to receive BCG-Denmark, -Japan and -Russia at birth showed higher polyfunctional (IFN-γ+TNF-α+IL-2+) responses after BCG-Denmark strain immunization (7). Our findings are similar, except that our cohorts are in some of the highest TB endemic areas in Africa (13, 34–36) and that the early differentiated memory state may also be important for the heterologous non-BCG antigen effects we observe with BCG-Denmark. Although CD4+ Th1 cytokine responses are not cognate correlates of protection against Tetanus and Pertussis, they are likely important measures of overall immune responsiveness to heterologous antigens. The attenuation of BCG is the result of the loss of virulent elements in the genome, with some strains having more regions of deletions than others (6, 37, 38). BCG-Denmark, a member of the DU2-III group, has more deletions than both BCG-Russia and BCG-Bulgaria from group DU2-I (6). The better quality and quantity of responses induced by BCG-Denmark are unlikely-related to antigenic coverage as this strain has less T cell epitopes than BCG-Russia (38). Certain BCG strains are known to replicate and persist longer in tissues after immunization in animal models (39, 40) and this may result in different antigen priming between strains. However, there are most likely numerous factors other than antigen load, as BCG-Russia has been found to replicate and persist in tissues of immunized mice over and above BCG-Denmark related strains (BCG-Prague and BCG-Glaxo strains) (40). There are likely numerous possible reasons for differences in vaccine immunogenicity between CT and Jos. We do not regard the 6-fold lower CFU dose of BCG-Bulgaria, compared with BCG-Denmark/Russia, as a contributing factor (Supplementary Table 2). Suboptimal vaccination doses affect the magnitudes of Th1 responses in adults (41), but not infants (42). Differences in immune responses between cohorts may also depend on population differences; i.e., environmental antigen exposure and/or genetics (43–45). For example helminth and malaria co-infections, which are common in Nigeria, are associated with IL-10 responses and a skewing to Th2 response to mTB (46), but we did not evaluate helminth infections in our infant cohort. Shipping of cells from Nigeria to South Africa may have impacted on their integrity. However, our finding that BCG-Russia [which is closely related to BCG-Bulgaria (28)] also resulted in a similar set of low magnitude and polyfunctional responses in CT infants led us to regard BCG strain differences as a main determinant of vaccine immunogenicity. Finally, although the proportion of HIV-exposed infants was unbalanced between the groups, this would have favored better responses in the BCG-Bulgarian infants. In 2016, many countries around the world experienced a shortage of BCG-Denmark and had to transition to other strains (47). Our results suggest that BCG vaccination, given to over 100 million infants annually around the globe, has variable immunogenicity according to strain, and that heterologous effects may be specific to BCG-Denmark. These findings have implications for vaccine policy makers, manufacturers and programs worldwide. These findings also suggest that BCG-Denmark, the first vaccine received in many African infants, has both specific and non-specific heterologous effects in the first few months of life, and may provide an immune priming benefit to other EPI vaccines.

Data Availability Statement

All datasets generated for this study are included in the manuscript/Supplementary Files.

Ethics Statement

The studies involving human participants were reviewed and approved by University of Cape Town Human Research Ethics Committee. Written informed consent to participate in this study was provided by the participants' legal guardian/next of kin.

Author Contributions

DC, KR, AA, HJ, and CG designed the study. AK, HJ, and CG interpreted that data and wrote the manuscript. AK, SO, TN, JW, SB, ND, OA, and SM ran the laboratory experiments. AK, AH, and HJ analyzed the data. SO, PD, AA, and HJ oversaw the recruitment and follow-up of mother-infant pairs.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
  43 in total

1.  COMPASS identifies T-cell subsets correlated with clinical outcomes.

Authors:  Lin Lin; Greg Finak; Kevin Ushey; Chetan Seshadri; Thomas R Hawn; Nicole Frahm; Thomas J Scriba; Hassan Mahomed; Willem Hanekom; Pierre-Alexandre Bart; Giuseppe Pantaleo; Georgia D Tomaras; Supachai Rerks-Ngarm; Jaranit Kaewkungwal; Sorachai Nitayaphan; Punnee Pitisuttithum; Nelson L Michael; Jerome H Kim; Merlin L Robb; Robert J O'Connell; Nicos Karasavvas; Peter Gilbert; Stephen C De Rosa; M Juliana McElrath; Raphael Gottardo
Journal:  Nat Biotechnol       Date:  2015-05-25       Impact factor: 54.908

Review 2.  Trained immunity: consequences for the heterologous effects of BCG vaccination.

Authors:  Johanneke Kleinnijenhuis; Reinout van Crevel; Mihai G Netea
Journal:  Trans R Soc Trop Med Hyg       Date:  2015-01       Impact factor: 2.184

3.  Different effects of BCG strains - A natural experiment evaluating the impact of the Danish and the Russian BCG strains on morbidity and scar formation in Guinea-Bissau.

Authors:  H Frankel; S Byberg; M Bjerregaard-Andersen; C L Martins; P Aaby; C S Benn; A B Fisker
Journal:  Vaccine       Date:  2016-08-01       Impact factor: 3.641

4.  Breastfeeding mitigates the effects of maternal HIV on infant infectious morbidity in the Option B+ era.

Authors:  Christophe Toukam Tchakoute; Kristin Lynn Sainani; Sophia Osawe; Pam Datong; Agano Kiravu; Kenneth L Rosenthal; Clive M Gray; D William Cameron; Alash'le Abimiku; Heather B Jaspan
Journal:  AIDS       Date:  2018-10-23       Impact factor: 4.177

5.  Comparison of immune responses of mice immunized with five different Mycobacterium bovis BCG vaccine strains.

Authors:  M R Lagranderie; A M Balazuc; E Deriaud; C D Leclerc; M Gheorghiu
Journal:  Infect Immun       Date:  1996-01       Impact factor: 3.441

6.  SPICE: exploration and analysis of post-cytometric complex multivariate datasets.

Authors:  Mario Roederer; Joshua L Nozzi; Martha C Nason
Journal:  Cytometry A       Date:  2011-01-07       Impact factor: 4.355

7.  In-utero exposure to maternal HIV infection alters T-cell immune responses to vaccination in HIV-uninfected infants.

Authors:  Elvis B Kidzeru; Anneke C Hesseling; Jo-Ann S Passmore; Landon Myer; Hoyam Gamieldien; Christophe Toukam Tchakoute; Clive M Gray; Donald L Sodora; Heather B Jaspan
Journal:  AIDS       Date:  2014-06-19       Impact factor: 4.177

8.  The influence of BCG vaccine strain on mycobacteria-specific and non-specific immune responses in a prospective cohort of infants in Uganda.

Authors:  Elizabeth J Anderson; Emily L Webb; Patrice A Mawa; Moses Kizza; Nancy Lyadda; Margaret Nampijja; Alison M Elliott
Journal:  Vaccine       Date:  2012-01-31       Impact factor: 3.641

9.  Bacillus Calmette-Guérin (BCG) vaccine: A global assessment of demand and supply balance.

Authors:  Tania Cernuschi; Stefano Malvolti; Emily Nickels; Martin Friede
Journal:  Vaccine       Date:  2017-12-15       Impact factor: 3.641

10.  Altered Memory T-Cell Responses to Bacillus Calmette-Guerin and Tetanus Toxoid Vaccination and Altered Cytokine Responses to Polyclonal Stimulation in HIV-Exposed Uninfected Kenyan Infants.

Authors:  Miguel A Garcia-Knight; Eunice Nduati; Amin S Hassan; Faith Gambo; Dennis Odera; Timothy J Etyang; Nassim J Hajj; James Alexander Berkley; Britta C Urban; Sarah L Rowland-Jones
Journal:  PLoS One       Date:  2015-11-16       Impact factor: 3.240

View more
  9 in total

Review 1.  A review of the BCG vaccine and other approaches toward tuberculosis eradication.

Authors:  Thomas Cho; Christopher Khatchadourian; Huy Nguyen; Yash Dara; Shuna Jung; Vishwanath Venketaraman
Journal:  Hum Vaccin Immunother       Date:  2021-03-26       Impact factor: 3.452

Review 2.  Vaccine-Induced Cellular Immunity against Bordetella pertussis: Harnessing Lessons from Animal and Human Studies to Improve Design and Testing of Novel Pertussis Vaccines.

Authors:  Anja Saso; Beate Kampmann; Sophie Roetynck
Journal:  Vaccines (Basel)       Date:  2021-08-07

3.  Is the BCG Vaccine an Answer to Future Pandemic Preparedness?

Authors:  Nadia H Khan; Nadine G Rouphael; Lindsey R Baden; Daniel S Graciaa
Journal:  Vaccines (Basel)       Date:  2022-01-27

4.  Time to face the proofs: the BCG Moreau vaccine promotes superior inflammatory cytokine profile in vitro when compared with Russia, Pasteur, and Danish strains.

Authors:  Andreon Santos Machado da Silva; Lawrence Henrique Paz Albuquerque; Carlos Germano Garrido de Ponte; Matheus Rogério de Almeida; Sandra Elizabete Ribeiro de Faria; Mariana da Silva Ribeiro; Evelyn Nunes Goulart da Silva Pereira; Paulo Renato Zuquim Antas
Journal:  Hum Vaccin Immunother       Date:  2021-11-12       Impact factor: 3.452

5.  Factors influencing maternal microchimerism throughout infancy and its impact on infant T cell immunity.

Authors:  Christina Balle; Blair Armistead; Agano Kiravu; Xiaochang Song; Anna-Ursula Happel; Angela A Hoffmann; Sami B Kanaan; J Lee Nelson; Clive M Gray; Heather B Jaspan; Whitney E Harrington
Journal:  J Clin Invest       Date:  2022-07-01       Impact factor: 19.456

Review 6.  A century of BCG vaccination: Immune mechanisms, animal models, non-traditional routes and implications for COVID-19.

Authors:  Shivani Singh; Noemi Alejandra Saavedra-Avila; Sangeeta Tiwari; Steven A Porcelli
Journal:  Front Immunol       Date:  2022-08-26       Impact factor: 8.786

Review 7.  Fighting COVID-19: A quick review of diagnoses, therapies, and vaccines.

Authors:  Hsin-I Shih; Chi-Jung Wu; Yi-Fang Tu; Chia-Yu Chi
Journal:  Biomed J       Date:  2020-05-30       Impact factor: 4.910

Review 8.  Bacille Calmette Guérin (BCG) and new TB vaccines: Specific, cross-mycobacterial and off-target effects.

Authors:  Nora Fritschi; Nigel Curtis; Nicole Ritz
Journal:  Paediatr Respir Rev       Date:  2020-08-20       Impact factor: 2.726

Review 9.  Can what have we learnt about BCG vaccination in the last 20 years help us to design a better tuberculosis vaccine?

Authors:  Hazel M Dockrell; Egle Butkeviciute
Journal:  Vaccine       Date:  2021-02-12       Impact factor: 3.641

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.