James Kublin’s research while affiliated with University of Mary Washington and other places

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Publications (249)


Sex-Based Differences to Plasmodium Infection in the Placebo Arms of Controlled Human Malaria Infection (CHMI) Trials in Malaria-Naïve Populations: A Pooled Analysis
  • Preprint

January 2025

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6 Reads

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Dianna E.B. Hergott

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Weston J. Staubus

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Pre-HIV α4β7hi CD4+ T cells and HIV risk among heterosexual individuals in Africa

December 2024

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4 Reads

The Journal of Infectious Diseases

Background CD4+ T cells expressing α4β7 are optimal targets for HIV infections, with higher pre-HIV α4β7hi expression linked to increased HIV acquisition and progression in South African women. However, similar associations were not observed in men who have sex with men (MSM) or people who inject drugs (PWID) in the Americas, indicating need for further research. Methods This retrospective case-control study enrolled heterosexual men and women from South Africa (HIV Vaccine Trials Network; HVTN 503) and East Africa (Partners Pre-Exposure Prophylaxis/Couples’ Observational Study; PP/COS), quantifying α4β7 expression on CD4+ T cells as a predictor of subsequent HIV risk using flow cytometry analyses. Results Associations between α4β7hi expression and HIV acquisition varied across cohorts. In HVTN 503, women had a higher risk estimate compared to men, but this was not significant. In PP/COS, α4β7hi expression was generally protective, particularly in Ugandans. Additionally, α4β7hi expression inversely correlated with peak viral load in PP/COS but not in HVTN 503; in the latter cohort, α4β7hi expression was inversely correlated with the CD4/CD8 ratio and predicted rapid CD4+ T cell decline, similar to what was observed previously in South Africa. Conclusions These findings suggest that α4β7hi expression on CD4+ T cells may not predict HIV acquisition and progression in all contexts, which may be due to cohort effects, modes of transmission, viral clade, or other factors.


HVTN 123: A Phase 1, Randomized Trial Comparing Safety and Immunogenicity of CH505TF gp120 Produced by Stably and Transiently Transfected Cell Lines

December 2024

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4 Reads

The Journal of Infectious Diseases

Utilizing transiently transfected cell lines could significantly reduce manufacturing timelines for protein subunit vaccines. This trial compared safety and immunogenicity of human immunodeficiency virus (HIV) envelope CH505TF gp120 vaccines produced by upstream stable and transient transfection (each admixed with GLA-SE adjuvant, a TL4 agonist). Both vaccines were safe and well tolerated. Serum IgG binding antibody response rates 2 weeks after final injection were 92% in the stable group and 93% in the transient group (P = 1.000). Neutralization response rates against CH505.w4.3 were also equivalent (92% vs 100%, P = .291). These data support transient transfection as an available tool for accelerating HIV vaccine testing and iteration. Clinical Trials Registration. NCT03856996.


SARS-CoV-2 variants causing the severe-critical COVID-19 endpoints
Variants are shown by calendar date of severe-critical COVID-19 occurrence and are broken out by geographic region (a, Latin America; b, USA; c, South Africa) and treatment assignment. Endpoint counts do not require having D1 and D29 antibody marker data (see the flowchart provided as Supplementary Fig. 2). As in Sadoff et al.⁵, “Reference” refers to the index strain (GenBank accession number: MN908947.3) harboring the D614G point mutation.
D29 antibody marker level by COVID-19 outcome status (moderate COVID-19 case, severe-critical COVID-19 case, or non-case)
a 50% inhibitory dilution neutralizing antibody (nAb-ID50) titer, (b) anti-Spike IgG concentration, and (c) anti-RBD IgG concentration. Data points are from baseline SARS-CoV-2 seronegative per-protocol vaccine recipients. Violin plots contain interior box plots with upper and lower horizontal edges the 25th and 75th percentiles of antibody level and middle line the 50th percentile, and vertical bars the distance from the 25th (or 75th) percentile of antibody level and the minimum (or maximum) antibody level within the 25th (or 75th) percentile of antibody level minus (or plus) 1.5 times the interquartile range. Each side shows a rotated probability density (estimated by a kernel density estimator with a default Gaussian kernel) of the data. Positive response frequencies (Freq.) computed with inverse probability of sampling weighting. Positive response definitions: Spike IgG, IgG>10.8424 BAU/ml; RBD IgG, IgG>14.0858 BAU/ml. ULoQ: Spike IgG, 238.1165 BAU/ml; RBD IgG, 172.5755 BAU/ml. Positive response for nAb-ID50: D1 nAb-ID50 titer <LLOQ (LLOQ = 4.8975 IU50/ml) with detectable D29 nAb-ID50 ( ≥ LLOQ), or D1 nAb-ID50 > LLOQ with at least a fourfold increase in D29 nAb-ID50. ULoQ: ID50, 844.7208 IU50/ml. Moderate cases are baseline SARS-CoV-2 seronegative per-protocol vaccine recipients with the moderate COVID-19 endpoint (moderate COVID-19 with onset both ≥ 7 days post D29 and ≥28 days post-vaccination) up to 181 days post-D29 but not past data cut (July 9, 2021). Severe-critical cases are baseline SARS-CoV-2 seronegative per-protocol vaccine recipients with the severe-critical COVID-19 endpoint (severe-critical COVID-19 with onset both ≥ 7 days post-D29 and ≥28 days post-vaccination) up to 170 days post-D29 but not past data cut (July 9, 2021). Non-cases are baseline seronegative per-protocol vaccine recipients sampled into the immunogenicity subcohort with no evidence of SARS-CoV-2 infection up to the end of the correlates study period, which is up to 181 days post-D29 but not past data cut (July 9, 2021). BAU binding antibody units, IU international units, LLoQ lower limit of quantitation, Pos.Cut positivity cut-off, ULoQ upper limit of quantitation. Source data are provided as a Source Data file.
Severe-critical COVID-19 risk and moderate COVID-19 risk by D29 antibody marker tertile
Plots show covariate-adjusted cumulative incidence of (a, c severe-critical COVID-19 or b, d) moderate COVID-19 by Low, Medium, and High tertiles of D29 (a, b) 50% inhibitory dilution neutralizing antibody titer (nAb-ID50) or (b, d) anti-Spike IgG concentration in baseline SARS-CoV-2–seronegative per-protocol vaccine recipients. e Covariate-adjusted hazard ratios of severe-critical COVID-19 or of moderate COVID-19 across D29 antibody marker tertiles. Endpoint counts for (a–d) calculated by inverse probability of sampling D29 marker weighting. The overall p value is from a two-sided generalized Wald test of whether the hazard rate of the designated COVID-19 endpoint differed across the Low, Medium, and High subgroups. Analyses adjusted for baseline behavioral risk score and geographic region. BAU binding antibody units, CI confidence interval, FDR false discovery rate, FWER family-wise error rate, IU international units, Pt. Est. point estimate. Source data are provided as a Source Data file.
Vaccine efficacy against severe-critical COVID-19 or against moderate COVID-19 by D29 antibody marker level
Vaccine efficacy estimates against (a, c) severe-critical COVID-19 and against (b, d) moderate COVID-19 through 170 (severe-critical) or 181 (moderate) days post-D29 were obtained using a nonparametric implementation of the method of Gilbert et al.³⁰. Each point on the curve represents the estimated controlled vaccine efficacy at the given D29 antibody marker level: (a, b) 50% inhibitory dilution neutralizing antibody (nAb-ID50) titer and (c, d) anti-Spike IgG binding antibody concentration. Dotted lines indicate bootstrap pointwise 95% CIs. The green histograms are frequency distributions of D29 marker level, with maroon dots representing marker levels of individual cases. Analyses adjusted for baseline behavioral risk score and geographic region. Curves are plotted over the nAb-ID50 titer range from unquantifiable to the 90th percentile (30.2 IU50/ml) and over the Spike IgG concentration range from negative response to the 90th percentile (125 BAU/ml). The horizontal gray line is the overall vaccine efficacy against (a, c) severe-critical COVID-19 or against (b, d) moderate COVID-19 through 170 (severe-critical) or 181 (moderate) days post-D29, with the dotted gray lines indicating the 95% CIs. BAU binding antibody units, CVE controlled vaccine efficacy, IU international units, LLOQ lower limit of quantitation, nAb-ID50 50% inhibitory dilution neutralizing antibody. nAb-ID50 LLOQ = 4.8975 IU50/ml; Spike IgG positivity cutoff = 10.8424 BAU/ml. Source data are provided as a Source Data file.
Exposure-proximal vaccine efficacy against severe-critical COVID-19 or against moderate COVID-19 by current antibody marker level
Analyses were performed in baseline SARS-CoV-2 seronegative per-protocol vaccine recipients. Exposure-proximal vaccine efficacy estimates against (a, c) severe-critical COVID-19 and against (b, d) moderate COVID-19 through 170 (severe-critical) or 181 (moderate) days post-D29 by current antibody marker level were obtained using the method of Huang and Follmann⁴⁴, with “current” referring to the true underlying antibody marker level not subject to technical measurement error, in a hypothetical scenario in which the value was available from serum samples collected every day over the follow-up period (see “Methods”). Each point on the curve represents the vaccine efficacy at the given current antibody marker level: (a, b) 50% inhibitory dilution neutralizing antibody (nAb-ID50) titer and (c, d) anti-Spike IgG binding antibody concentration. The dashed lines are bootstrap pointwise 95% CIs. Analyses adjusted for baseline behavioral risk score and geographic region. Curves are plotted over the range from negative binding antibody response (or unquantifiable neutralizing antibody titer) to the 97.5th percentile of each current antibody marker level: Spike IgG, negative response to 352 BAU/ml; RBD IgG, negative response to 486 BAU/ml; nAb-ID50, unquantifiable to 43.4 IU50/ml. Positivity cutoffs: 10.8424 BAU/ml for Spike and 14.0858 BAU/ml for RBD; nAb-ID50 LLOQ = 4.8975 IU50/ml. BAU binding antibody units, CI confidence interval, IU international units, LLOQ lower limit of quantitation, nAb-ID50 50% inhibitory dilution neutralizing antibody. Source data are provided as a Source Data file.
Neutralizing antibody correlate of protection against severe-critical COVID-19 in the ENSEMBLE single-dose Ad26.COV2.S vaccine efficacy trial
  • Article
  • Full-text available

November 2024

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32 Reads

Assessment of immune correlates of severe COVID-19 has been hampered by the low numbers of severe cases in COVID-19 vaccine efficacy (VE) trials. We assess neutralizing and binding antibody levels at 4 weeks post-Ad26.COV2.S vaccination as correlates of risk and of protection against severe-critical COVID-19 through 220 days post-vaccination in the ENSEMBLE trial (NCT04505722), constituting ~4.5 months longer follow-up than our previous correlates analysis and enabling inclusion of 42 severe-critical vaccine-breakthrough cases. Neutralizing antibody titer is a strong inverse correlate of severe-critical COVID-19, with estimated hazard ratio (HR) per 10-fold increase 0.35 (95% CI: 0.13, 0.90). In a multivariable model, HRs are 0.31 (0.11, 0.89) for neutralizing antibody titer and 1.22 (0.49, 3.02) for anti-Spike binding antibody concentration. VE against severe-critical COVID-19 rises with neutralizing antibody titer: 63.1% (95% CI: 40.0%, 77.3%) at unquantifiable [<4.8975 International Units (IU)50/ml], 85.2% (47.2%, 95.3%) at just-quantifiable (5.2 IU50/ml), and 95.1% (81.1%, 96.9%) at 90th percentile (30.2 IU50/ml). At the same titers, VE against moderate COVID-19 is 32.5% (11.8%, 48.4%), 33.9% (19.1%, 59.3%), and 60.7% (40.4%, 76.4%). Protection against moderate vs. severe disease may require higher antibody levels, and very low antibody levels and/or other immune responses may associate with protection against severe disease.

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Quantification of 592 microbial genomospecies from 0–6 months across 8 studies. a) Density of sample collection per study over time relative to term birth (40 weeks of gestational age). b) Distribution of genomospecies genome sizes (number of coding sequences, top) in comparison to NCBI prokaryotic reference genomes (bottom). c) Proportion of metagenomic sequence data from each sample which can be unambiguously assigned to any one of the 592 bacterial genomospecies, compared across studies. d) Within- versus intra-participant variation in metagenome similarity estimated using the Spearman correlation coefficient of Centered-Log Ratio (CLR) abundances. The label “Within Participant: True” on the x-axis refers to the within-participant variation, while “False” refers to the intra-participant variation. Within-participant variation was significantly higher (p = 1.16E-46 Mann-Whitney U). e) Comparison of within-participant variation in metagenome similarity between samples at varying time intervals estimated using the Spearman correlation coefficient of CLR abundances. Comparisons made between samples collected across longer time intervals were less strongly correlated than comparisons made between samples collected across shorter time intervals (p = 4.12E-10 Spearman). f) Comparison of microbiome composition within the samples collected for this study, with participants (n = 15) and timepoints (n = 6) indicated on the top marginal axis. Dendrogram indicates hierarchical clustering of the 592 genomospecies based on similarity of abundance profiles across samples. Color scale indicates log-scaled relative abundances.
Groups of microbial genomospecies are reproducibly observed at correlated abundances across studies. a) UMAP-based ordination of genomospecies (filtered at a minimum threshold of 0.1% average abundance) based on correlation of relative abundances across samples (Kendall’s tau). b) Comparison of relative abundance-based correlation coefficients for genomospecies pairs based on order-level taxonomic annotations. Pairs of taxa from the same order were generally correlated more strongly than taxa from different orders (ANOSIM R = 0.43 p = 0.001). c) Considering only those pairs of genomospecies with a correlation coefficient greater than 0.7 (Kendall’s tau) using all available data, correlation metrics were recalculated using a single timepoint per participant across all studies (“Single Timepoint”); while calculating an independent correlation metric for each individual study (“Within Study”); or using a single timepoint per participant while also calculating an independent correlation metric for each individual study (“Within Study–Single Timepoint”). The Spearman correlation coefficient was also calculated for all comparisons (blue) in addition to Kendall’s tau (orange). d) Comparison of relative abundances (CLR) across all samples for each pair of genomospecies within Consortium 5. e) Bacterial reference genome similarity for each of the genes within the 4 genomospecies which make up Consortium 5. Each column represents a single gene reconstructed from the metagenomic analysis. The bottom color bar indicates the genomospecies (CAG) assignment for each gene. Blue marks indicate reference genomes (each shown in a distinct row) in which that gene was detected by sequence alignment. The right-hand color bar indicates the species-level assignment for each reference genome. Hierarchical clustering of reference genomes is based on the average nucleotide identity-based dissimilarity matrix. f) Comparison of relative abundances (CLR) across all samples for each pair of genomospecies within Consortium 3. g) Bacterial reference genome similarity for Consortium 3 (following E), with the full set of reference genomes available for inspection in Supplementary Data 2.
Rapid changes in relative abundance of microbial consortia during early human life. a) Summary of the relative abundance of Consortium 5 (vertical axis) across stool samples as a function of time since term birth (horizontal axis), comparing samples obtained from different studies (indicated by color). This group contains various species of Bifidobacteria. b) Summary of the relative abundance for Consortium 3, as in (A). This group contains various species of Enterobacteriales. c) UMAP-based ordination of microbiome samples based on similarity of microbiome composition as measured by the relative abundance of microbial consortia. Colors indicate the timepoint of sample collection relative to term birth. d) Similarity of sample composition was compared for pairs of samples collected at similar timepoints from different individuals within each study using Kendall’s tau. The horizontal axis indicates the time of sampling, and the vertical axis indicates the similarity of microbial abundances observed between different individuals. Sample similarity was greater at earlier timepoints (p = 0.008 Spearman). e) Similarity of microbial relative abundances were compared between pairs of samples collected at different timepoints from different individuals within the samples collected for this study. The pairwise comparison of each timepoint using the ANOSIM R metric is shown in a heatmap, with positive values indicating more distinct microbial compositions within each of the pair of timepoints and negative values indicating more similar microbial compositions within the pair of timepoints. f) Similarity of microbial relative abundances for the samples from the Yassour study (as in E). g) Similarity of samples collected from the same individual at adjacent timepoints within the samples collected for this study. The horizontal axis indicates the timepoint which was compared to samples from the immediately proceeding timepoint. Higher values on the vertical axis indicate a greater similarity of samples based on the relative abundance of microbial consortia. h) Similarity of samples collected from the same individual from the Eng study (as in g).
Association of specific microbial consortia with infant CF status and weight. a) Measured weight of each infant at each timepoint, distinguishing infants diagnosed with CF from healthy controls (Wilcoxon p = 0.0017). b) Estimated coefficient of association for the relative abundance of each microbial consortium with CF status, calculated independently at each timepoint. Blue values on the color axis indicate positive association scores, while red values indicate negative scores. c) Estimated coefficient of association for the relative abundance of each microbial consortium with infant weight using only those participants diagnosed with CF, calculated independently at each timepoint. d) Comparison of the relative abundance of Consortium 9 with weight within the group of participants diagnosed with CF, shown independently at each timepoint. e) Comparison of the relative abundance of Consortium 9 between participants distinguished by CF diagnosis, shown independently at each timepoint. f) Comparison of the genomic content of Consortium 9 to a reference genome collection, as in Figure 2e.
Species- and subspecies-level characterization of health-associated bacterial consortia that colonize the human gut during infancy

October 2024

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15 Reads

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1 Citation

Background The human gut microbiome develops rapidly during infancy, a key window of development coinciding with the maturation of the adaptive immune system. However, little is known about the microbiome growth dynamics over the first few months of life and whether there are any generalizable patterns across human populations. We performed metagenomic sequencing on stool samples (n = 94) from a cohort of infants (n = 15) at monthly intervals in the first 6 months of life, augmenting our dataset with seven published studies for a total of 4,441 metagenomes from 1,162 infants. Results Strain-level de novo analysis was used to identify 592 of the most abundant organisms in the infant gut microbiome. Previously unrecognized consortia were identified which exhibited highly correlated abundances across samples and were composed of diverse species spanning multiple genera. Analysis of a published cohort of infants with cystic fibrosis identified one such novel consortium of diverse Enterobacterales which was positively correlated with weight gain. While all studies showed an increased community stability during the first year of life, microbial dynamics varied widely in the first few months of life, both by study and by individual. Conclusion By augmenting published metagenomic datasets with data from a newly established cohort, we were able to identify novel groups of organisms that are correlated with measures of robust human development. We hypothesize that the presence of these groups may impact human health in aggregate in ways that individual species may not in isolation.


Safety and implementation of a phase 1 randomized GLA-SE-adjuvanted CH505TF gp120 HIV vaccine trial in newborns

October 2024

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23 Reads

Background The neonatal immune system is uniquely poised to generate broadly neutralizing antibodies (bnAbs) and thus infants are ideal for evaluating HIV vaccine candidates. We present the design and safety of a novel glucopyranosyl lipid A (GLA)-stable emulsion (SE) adjuvant admixed with a first-in-infant CH505 transmitter-founder (CH505TF) gp120 immunogen designed to induce precursors for bnAbs against HIV. Methods HVTN 135 is a phase I randomized, placebo-controlled trial of CH505TF+GLA-SE or placebo. Healthy infants in South Africa aged ≤5 days, born to mothers living with HIV but HIV nucleic acid negative at birth were randomized to five doses of CH505TF + GLA-SE or placebo at birth and 8, 16, 32, and 54 weeks. Results 38 infants (median age = 4 days; interquartile range 4, 4.75 days) were enrolled November 2020 to January 2022. Among 28 (10) infants assigned to receive CH505TF + GLA-SE (placebo), most (32/38) completed the 5-dose immunization series and follow-up (35/38). Solicited local and systemic reactions were more frequent in vaccine (8, 28.6% local; 16, 57.1% systemic) vs. placebo recipients (1, 10% local, p = 0.25; 4, 40.0% systemic, p = 0.38). All events were Grade 1 except two Grade 2 events (pain, lethargy). Serious vaccine-related adverse events were not recorded. Conclusions This study illustrates the feasibility of conducting trials of novel adjuvanted HIV vaccines in HIV-exposed infants receiving standard infant vaccinations. The safety profile of the CH505TF + GLA-SE vaccine was reassuring. Trial registration ClinicalTrials.gov NCT04607408 Funding National Institute of Allergy and Infectious Diseases (NIAID) at the National Institutes of Health (NIH)


Distributions of BD1 and of BD29 neutralizing antibody (nAb) and binding antibody (bAb) marker levels, stratified by Omicron COVID-19 case vs. non-case status and by SARS-CoV-2 naive vs. non-naive status
a–d nAb titer against Spike (BA.1 strain) pseudovirus; e–h IgG bAb concentration against Spike (BA.1 strain). Points are from per-protocol boosted participants in the original-vaccine (filled triangles) or crossover-vaccine (open circles) arm with lines (gray: original-vaccine arm; red: crossover-vaccine arm) connecting the BD1 and BD29 data points for an individual participant (a, e: n = 79; b, f: n = 84; c, g: 32; d, h: n = 23). The violin plots contain interior box plots with upper and lower horizontal edges representing the 25th and 75th percentiles of antibody level and middle line representing the 50th percentile. The vertical bars represent the distance from the 25th (or 75th) percentile of antibody level and the minimum (or maximum) antibody level within the 25th (or 75th) percentile of antibody level minus (or plus) 1.5 times the interquartile range. Each side shows a rotated probability density (estimated by a kernel density estimator with a default Gaussian kernel) of the data. Positive response rates were computed with inverse probability of sampling weighting. LLOQ, lower limit of quantification. AU/ml, arbitrary units/ml. LLOQ = 8 AU/ml for nAb BA.1 and 102 AU/ml for Spike IgG BA.1. Positive (quantifiable) response for BA.1 nAb at a given timepoint was defined by value ≥LLOQ at that timepoint. Positive response for Spike IgG-BA.1 bAb at a given timepoint was defined by value ≥LLOQ at that timepoint. Omicron Case = COVID-19 endpoint in the interval [≥7 days post BD29 AND ≥December 1, 2021 to April 5, 2022 (data cutoff date)]. Non-case = Did not acquire COVID-19 (of any strain) in the interval [BD1 to April 5, 2022]. SARS-CoV-2 naive = No evidence of SARS-CoV-2 infection from enrollment through to BD1; Non-naive = Any evidence of SARS-CoV-2 infection in the interval [≥14 days after the first two doses of mRNA-1273, BD1].
Analyses of BD29 and of Fold-Rise (BD29/BD1) BA.1 strain neutralizing antibody (nAb) titer and Spike IgG-BA.1 strain binding antibody (bAb) concentration as a correlate of risk of Omicron COVID-19
Curves show cumulative incidence of Omicron COVID-19, estimated using a Cox model (purple) or a nonparametric method (blue), in per-protocol boosted (a, b) SARS-CoV-2 naive participants (N = 14,047) and (c, d) non-naive participants (N = 204) by 92 days post BD29 by BD29 antibody marker level. The solid lines indicate the mean cumulative incidences. The dotted lines and shadings in between indicate bootstrap pointwise 95% CIs. The distribution of the marker in the respective analysis population, calculated by kernel density estimation, is plotted in light green. e Hazard ratios of Omicron COVID-19 per 10-fold increase in each BD29 and fold-rise (BD29/BD1) BA.1 marker in per-protocol boosted SARS-CoV-2 naive participants or non-naive participants. Baseline covariates adjusted for: baseline risk score, at risk status, community of color status, BD1 marker level (paired to the BD29 marker studied). P values are based on the Wald test and are 2-sided.
Correlate of booster relative efficacy curves against Omicron COVID-19 among SARS-CoV-2 naive participants (N = 2464) as a function of predicted-at-exposure immune marker level
a Neutralizing antibody (nAb) titer against Spike (BA.1 strain) pseudovirus; (b) IgG binding antibody (bAb) concentration against Spike (BA.1 strain). The curves show the relative efficacy of three-dose mRNA-1273 vs. two-dose mRNA-1273. The dashed black lines are 95% confidence intervals. The green histograms are an estimate of the density of predicted-at-exposure antibody marker level in per-protocol boosted SARS-CoV-2 naive participants. The gray shadings indicate the middle 90% (5th percentile to 95th percentile) of this marker distribution.
Matched neutralizing antibody, COVID-19 vaccine efficacy curves for Ancestral and Omicron eras
The curves show vaccine efficacy among SARS-CoV-2 naive participants (a, N = 1615; b, c, N = 2464). a The solid curve graphs two-dose vs. placebo vaccine efficacy against Ancestral COVID-19 by D57 (28 days post dose 2) Ancestral strain neutralizing antibody (nAb) titer in International Units (IU50/ml). The blue histogram shows the distribution of post dose 2 Ancestral nAb titer. The light blue shading indicates the middle 90% (5th percentile to 95th percentile) of the marker distribution. b The solid curve graphs three-dose vs. two-dose booster relative efficacy against Omicron COVID-19 by BD29 (28 days post dose 3) BA.1 nAb titer in imputed IU50/ml (see Methods). In (a) and (b), solid lines are point estimates and dashed lines are 95% confidence intervals. c The two dashed lines are the most and least conservative estimates of extrapolated booster vaccine efficacy against Omicron (BA.1) COVID-19 by BD29 (28 days post dose 3) BA.1 nAb titer in imputed IU50/ml for a 3-dose group vs an unvaccinated group. The curves are based on inferring an unvaccinated group using observational cohort data reported in eTable 2 in ref. ²³, namely that by 13 months post dose 2, VE (versus an unvaccinated control) against infection and hospitalization waned to 34% and 62%, respectively. In (b) and (c), the green histogram shows the distribution of post dose 3 BA.1 nAb titer. The light green shadings indicate the middle 90% (5th percentile to 95th percentile) of the marker distribution.
Omicron COVID-19 immune correlates analysis of a third dose of mRNA-1273 in the COVE trial

September 2024

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37 Reads

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1 Citation

In the phase 3 Coronavirus Efficacy (COVE) trial (NCT04470427), post-dose two Ancestral Spike-specific binding (bAb) and neutralizing (nAb) antibodies were shown to be correlates of risk (CoR) and of protection against Ancestral-lineage COVID-19 in SARS-CoV-2 naive participants. In the SARS-CoV-2 Omicron era, Omicron subvariants with varying degrees of immune escape now dominate, seropositivity rates are high, and booster doses are administered, raising questions on whether and how these developments affect the bAb and nAb correlates. To address these questions, we assess post-boost BA.1 Spike-specific bAbs and nAbs as CoRs and as correlates of booster efficacy in COVE. For naive individuals, bAbs and nAbs inversely correlate with Omicron COVID-19: hazard ratios (HR) per 10-fold marker increase (95% confidence interval) are 0.16 (0.03, 0.79) and 0.31 (0.10, 0.96), respectively. In non-naive individuals the analogous results are similar: 0.15 (0.04, 0.63) and 0.28 (0.07, 1.08). For naive individuals, three vs two-dose booster efficacy correlates with predicted nAb titer at exposure, with estimates -8% (-126%, 48%), 50% (25%, 67%), and 74% (49%, 87%), at 56, 251, and 891 Arbitrary Units/ml. These results support the continued use of antibody as a surrogate endpoint.


Immune correlates analysis of the Imbokodo (HVTN 705/HPX2008) efficacy trial of a mosaic HIV-1 vaccine regimen evaluated in Southern African people assigned female sex at birth: a two-phase case-control study

September 2024

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27 Reads

EBioMedicine

Background The HVTN 705 Imbokodo trial of 2636 people without HIV and assigned female sex at birth, conducted in southern Africa, evaluated a heterologous HIV-1 vaccine regimen: mosaic adenovirus 26-based vaccine (Ad26.Mos4.HIV) at Months 0, 3, 6, 12 and alum-adjuvanted clade C gp140 at Months 6, 12. Per-protocol vaccine efficacy (VE) against HIV-1 diagnosis from seven to 24 months was 14.1% (95% CI: −22.0% to 39.5%). Immune correlates analysis was performed for markers selected based on prior evidence in efficacy trials and/or nonhuman primate models. Methods Humoral and cellular immune response markers at Month 7 were evaluated as immune correlates of risk and of protection in a breakthrough case–control cohort (n = 52 cases, 246 non-cases). Primary markers were IgG binding to vaccine-strain gp140, IgG3 binding to diverse Env antigens (IgG3 Env breadth), IgG3 binding to diverse V1V2 antigens (IgG3 V1V2 breadth), antibody-dependent phagocytosis against the vaccine-strain gp140, Env-specific CD4+ and CD8+ T-cell responses, and multi-epitope functions. Findings No immune markers were statistically significant correlates of risk. IgG3 V1V2 breadth trended toward an inverse association: hazard ratio 0.70 (95% CI: 0.36 to 1.35; p = 0.29) per 10-fold increase and 0.51 (95% CI: 0.21 to 1.24; p = 0.14) in a Cox model with all primary markers. The VE estimate was 11.8% (95% CI: −17.9% to 34.0%) at all IgG3 V1V2 breadth values below 667 weighted geometric mean net MFI; just above this value, the VE estimate sharply increased to 62.6% (95% CI: −17.9% to 89.6%), and further increased to 80.9% (95% CI: −17.9% to 99.5%) at 1471 MFI, the 95th percentile of the marker distribution. Mediation analysis yielded a VE of 35.7% (95% CI: 15.0% to 51.3%) attributable to the vaccine's impact on this marker. Interpretation The trend in association of greater IgG3 V1V2 antibody breadth with lower likelihood of HIV acquisition is consistent with the identification of antibodies against V1V2 as immune correlates in three other HIV vaccine efficacy trials and suggests that a greater emphasis should be placed on studying this region in the HIV-1 envelope as a vaccine immunogen. Funding 10.13039/100000060National Institute of Allergy and Infectious Diseases and Janssen Vaccines & Prevention BV.


Association Between SARS-CoV-2 Viral Load and COVID-19 Vaccination in 4 Phase 3 Trials

September 2024

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43 Reads

The Journal of Infectious Diseases

Coronavirus disease 2019 (COVID-19) vaccines reduce severe disease and mortality and may lessen transmission, measured by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral load (VL). Evaluating vaccine associations in VL at COVID-19 diagnosis in 4 phase 3 randomized, placebo-controlled vaccine trials, July 2020 to July 2021, VL reductions were 2.78 log10 copies/mL (95% confidence interval [CI], 1.38–4.18; n = 60 placebo, 11 vaccine) and 2.12 log10 copies/mL (95% CI, 1.44–2.80; n = 594 placebo, 36 vaccine) for NVX-CoV2373 and mRNA-1273, respectively. Associations were not significant for AZD1222 (0.59 log10 copies/mL; 95% CI, −.19 to 1.36; n = 90 placebo, 78 vaccine) or Ad26.COV2.S (0.23 log10 copies/mL; 95% CI, −.01 to .47; n = 916 placebo, 424 vaccine). Thus, vaccines potentially decreased transmission when ancestral SARS-CoV-2 predominated. Clinical Trials Registration. NCT04470427, NCT04505722, NCT04516746, NCT04611802.


Probing Dermal Immunity to Mycobacteria through a Controlled Human Infection Model

September 2024

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18 Reads

ImmunoHorizons

Cutaneous mycobacterial infections cause substantial morbidity and are challenging to diagnose and treat. An improved understanding of the dermal immune response to mycobacteria may inspire new therapeutic approaches. We conducted a controlled human infection study with 10 participants who received 2 × 106 CFUs of Mycobacterium bovis bacillus Calmette-Guérin (Tice strain) intradermally and were randomized to receive isoniazid or no treatment. Peripheral blood was collected at multiple time points for flow cytometry, bulk RNA sequencing (RNA-seq), and serum Ab assessments. Systemic immune responses were detected as early as 8 d postchallenge in this M. bovis bacillus Calmette-Guérin-naive population. Injection-site skin biopsies were performed at days 3 and 15 postchallenge and underwent immune profiling using mass cytometry and single-cell RNA-seq, as well as quantitative assessments of bacterial viability and burden. Molecular viability testing and standard culture results correlated well, although no differences were observed between treatment arms. Single-cell RNA-seq revealed various immune and nonimmune cell types in the skin, and communication between them was inferred by ligand-receptor gene expression. Day 3 communication was predominantly directed toward monocytes from keratinocyte, muscle, epithelial, and endothelial cells, largely via the migration inhibitory factor pathway and HLA-E-KLRK1 interaction. At day 15, communication was more balanced between cell types. These data reveal the potential role of nonimmune cells in the dermal immune response to mycobacteria and the utility of human challenge studies to augment our understanding of mycobacterial infections.


Citations (66)


... COVID-19 risk in both SARS-CoV-2-negative and -positive participants. 24 Among SARS-CoV-2-negative individuals, 3-dose vs 2-dose booster efficacy correlated with predicted nAb titers at exposure, with estimates of −8% (95% CI: −126% to 48%), 50% (25% to 67%), and 74% (49% to 87%), at 56, 251, and 891 Arbitrary Units/mL, respectively. While these data were collected during a period in which previous variants were circulating, 20,22-24 together, these findings highlight the benefits of boosting to confer continued protection against emerging variants. ...

Reference:

Safety and immunogenicity of an mRNA-1273 vaccine booster in adolescents
Omicron COVID-19 immune correlates analysis of a third dose of mRNA-1273 in the COVE trial

... In this approach, the survival of Mtb is dependent on two exogenous compounds so that the invading bacteria are killed if the compounds are withdrawn 130 . The proof-of-concept of using the conditionally replicating Mtb strains has been obtained in mice and NHPs models; next, the strains will be reconstructed to meet, at a minimum, compliance with good manufacturing practice before usage in a human challenge study 131 . ...

Review of the current TB human infection studies for use in accelerating TB vaccine development: A meeting report

The Journal of Infectious Diseases

... PDPHV is the first HIV vaccine showing a broad range of cross-reactive immune responses in one vaccine design. IgG/IgG3 responses against gp70 V1V2 were higher in HVTN124 than any other previously reported HIV vaccine efficacy trials[15]. ...

Safety and immunogenicity of a polyvalent DNA–protein HIV vaccine with matched Env immunogens delivered as a prime–boost regimen or coadministered in HIV-uninfected adults in the USA (HVTN 124): a phase 1, placebo-controlled, double-blind randomised controlled trial
  • Citing Article
  • May 2024

The Lancet HIV

... Biggest scientific obstacle is the genetic variability of HIV to the development of an HIV vaccine (Ng'uni and Ndhlovu (mild), one participant developed a rash (mild) and maculopapular rash (moderate) (Moodie et al. 2024). ...

Safety and immunogenicity of a subtype C ALVAC-HIV (vCP2438) vaccine prime plus bivalent subtype C gp120 vaccine boost adjuvanted with MF59 or alum in healthy adults without HIV (HVTN 107): A phase 1/2a randomized trial

... Other novel approaches are under study to elicit increased diversity of T cell responses with HIV vaccination. For example, in HVTN 085 [NCT01479296], Miner et al. studied the polytopic and fractional administration of a recombinant Ad5 vector expressing Gag, Pol, and Env sequences from three sub-types: 'polytopic' administration meant that injections with the different subtype-specific inserts were given in four separate anatomical locations, while 'polytopic fractional' meant that all the subtypes were mixed together, but they were given at one-fourth the dose at each of the four anatomical sites [132]. The authors found that polytopic fractional delivery resulted in a higher rate and magnitude of CD8+ T cell responses, as well as the greatest breadth of epitope-specific T cell responses. ...

Polytopic fractional delivery of an HIV vaccine alters cellular responses and results in increased epitope breadth in a phase 1 randomized trial

EBioMedicine

... However, a significant within group difference was observed in the inulin cohort, but not the placebo cohort, following a third vaccination, suggesting a potential role for microbiome manipulation in augmenting the cellular response to vaccination. This hypothesis was supported by recent animal work comparing the immune responses in germ-free (GF) and specific pathogen-free (SPF) mice subjected to mRNA-LNP vaccination [72]. Here, Johnson et al. observed GF mice to exhibit reduced CD8+ T-cell and innate immune responses to SARS-CoV-2 mRNA vaccination when compared to SPF mice [72]. ...

The Regulation of Nucleic Acid Vaccine Responses by the Microbiome
  • Citing Article
  • October 2023

The Journal of Immunology

... To enable comparison to the results of the immune correlates analysis of a third dose of mRNA-1273 in the COVE trial 29 , we defined a second endpoint ("COVE COVID-19"), based on the clinical criteria for the COVID-19 endpoint used in the COVE primary efficacy analyses 2,30 as well as previous COVE immune correlates analyses 27,29,[31][32][33] . Of the 213 COVID-19 endpoints analyzed above, 191 (89.7%) met the COVE clinical criteria and supportive laboratory criteria for a COVE endpoint. ...

Omicron COVID-19 Immune Correlates Analysis of a Third Dose of mRNA-1273 in the COVE Trial

... We used a new assay, referred to in this article as the molecular viability test (MVT), to detect only actively dividing BCG given the short half-life of pre-rRNA (1821). Previously, we demonstrated that this MVT, which uses RT-PCR to quantitate the pre-rRNA/rDNA peak ratio to measure the amount of BCG before and after isoniazid (INH), correlated well with culture positivity in an intradermal mouse model (20). ...

Molecular detection of pre-ribosomal RNAs of Mycobacterium bovis Bacille Calmette-Guérin and Mycobacterium tuberculosis to enhance pre-clinical tuberculosis drug and vaccine development
  • Citing Article
  • October 2023

Diagnostic Microbiology and Infectious Disease

... Another example is HIV treatment, where customizing antiretroviral therapy based on both the genetic makeup of the virus and the patient's own genetic factors has proven beneficial. In the case of malaria, genetic testing for G6PD deficiency, which can lead to severe reactions to certain antimalarial drugs like primaquine, assists in selecting safer treatment options [133]. ...

Clinical performance validation of the STANDARD G6PD test: A multi-country pooled analysis

... While the main target for the current SARS-CoV-2 vaccinesthe S protein, accumulate modifications that can slowly affect vaccine efficacy, the envelope protein on the surface of HIV is highly variable, with several sites of glycosylation, and present in low density 36 . However, researchers are encouraged by recent progress in developing both B and T cell-focused strategies for HIV vaccines, as well as by the outcomes of preclinical studies that indicate combining these strategies may offer synergies that can be exploited to reach efficacy 37,38 . ...

Is an HIV vaccine still achievable?
  • Citing Article
  • October 2023

Current Opinion in HIV and AIDS