Rustom Antia’s research while affiliated with Emory University and other places

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Publications (202)


Publisher Correction: Disease-associated B cells and immune endotypes shape adaptive immune responses to SARS-CoV-2 mRNA vaccination in human SLE
  • Article
  • Full-text available

December 2024

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23 Reads

Nature Immunology

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Trinh T. P. Van

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Dynamics of Antibody Binding and Neutralization during Viral Infection

November 2024

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5 Reads

Bulletin of Mathematical Biology

In vivo in infection, virions are constantly produced and die rapidly. In contrast, most antibody binding assays do not include such features. Motivated by this, we considered virions with n = 100 binding sites in simple mathematical models with and without the production of virions. In the absence of viral production, at steady state, the distribution of virions by the number of sites bound is given by a binomial distribution, with the proportion being a simple function of antibody affinity (Kon/Koff) and concentration; this generalizes to a multinomial distribution in the case of two or more kinds of antibodies. In the presence of viral production, the role of affinity is replaced by an infection analog of affinity (IAA), with IAA = Kon/(Koff + dv + r), where dv is the virus decay rate and r is the infection growth rate. Because in vivo dv can be large, the amount of binding as well as the effect of Koff on binding are substantially reduced. When neutralization is added, the effect of Koff is similarly small which may help explain the relatively high Koff reported for many antibodies. We next show that the n+2-dimensional model used for neutralization can be simplified to a 2-dimensional model. This provides some justification for the simple models that have been used in practice. A corollary of our results is that an unexpectedly large effect of Koff in vivo may point to mechanisms of neutralization beyond stoichiometry. Our results suggest reporting Kon and Koff separately, rather than focusing on affinity, until the situation is better resolved both experimentally and theoretically.


Serological evaluation of anti-spike vaccine-mediated antibody responses
a–d, Luminex-based detection of RBD IgG-binding serum antibodies (net MFI values) in the HD and SLE cohorts, shown for each vaccine administration. Each dot represents a sample. Connecting lines show longitudinal collections. Comparisons between mRNA vaccines (BioNTech/Pfizer (aqua) and Moderna/NIAID (salmon)) are shown for Vax1 + Vax2 in the HD (a) and SLE (c) cohorts and for Vax3 in the HD (b) and SLE (d) cohorts. e–g, Clusters of IgG RBD titers based on binned time points for samples collected at Vax1 (e), Vax2 (f) and Vax3 (g). Statistical analysis was performed with a two-sided Mann–Whitney U test and indicated when significant. Pie charts show the distribution of seronegative (MFI 0–2,500) and seropositive (low MFI 2,500–10,000, medium MFI 10,000–100,000 and high MFI >100,000) values. The number of samples is indicated in the pies, and the percentage of responders was compared using a chi-square test. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001. MFI, mean fluorescence intensity; GMT, geometric mean titer; Pre-CoV, before the coronavirus pandemic; d, day(s); mo, month(s).
Reduced neutralization and breadth in the cohort of vaccinated patients with SLE
a, ELISA determination of antibody-mediated inhibition of SARS-CoV-2 RBD binding to solid-phase ACE2. The graph shows the reciprocal plasma or serum dilution that blocks 80% binding (BD80) of RBD to human ACE2. log(BD80) values are shown as negative (0–1), low (1–2) and high (>2). Box plots represent the minimum to maximum values, showing all points as individual serum samples: HD (day 0, n = 5; 1 week pre-2nd, n = 14; Vax2 1–3 months, n = 19; Vax2 4 months–before Vax3, n = 23; Vax3, n = 48) and SLE (day 0, n = 8; 1 week pre-2nd, n = 16; Vax2 1–3 months, n = 47; Vax2 4 months–before Vax3, n = 59; Vax3, n = 51) Statistical analysis was performed using a two-sided Mann–Whitney U test. b, Pie graphs showing the frequency and statistical comparison of competitive immunoglobulins in the two cohorts. A chi-square with Fisher’s test was used for comparisons. The number in the circles indicates the total number of samples tested, whereas the numbers in the pies show the relative percentages of the negative (black), low (gray) and high (white) values. c, Graphs showing the linear correlation between the blocking of RBD binding to ACE2 (BD80) and the total RBD immunoglobulin-binding antibodies in the same sample, tested from vaccinated individuals from both the HD (left graph) and SLE (right graph) cohorts. d, Polyclonal antibody avidity (as measured by the dissociation off-rate per second) to the SARS-CoV-2 RBD protein at ~2–5 months after the second vaccination (Vax2) or ~3–5 months after the third mRNA vaccination (Vax3) for serum samples analyzed by SPR. Off-rate constants were determined from two independent SPR runs. The table shows the frequency of responders for each cohort and time point analyzed. An unpaired t test was applied. e–g, Pseudoviral neutralization in vitro assay performed on plasma samples isolated from vaccinated individuals after Vax2 and Vax3. The graphs show the neutralizing titers inhibiting 50% of the viral growth (NT50) tested for the SARS-CoV-2 WA.1 wild-type (e), Delta (B.1.617.2) (f) and Omicron (B.1.1.529 BA.1) (g) strains. Each dot in the box plots represents an individual sample tested. Horizontal lines indicate the median. The pie charts show the comparison of negative, low and high neutralizers. Statistical comparison was performed using a chi-square with Fisher’s test. The number in the circles indicates the total number of individual samples tested, whereas the numbers in the pies show the relative percentages of the negative (black), low (gray) and high (white) values. Not significant, P > 0.05; *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001. HRP, horseradish peroxidase; amIgG, anti-mouse IgG; mFc, monomeric Fc; rec-hRBD, recombinant human RBD; rec-hACE2, recombinant human ACE2; d0, day 0; wk, week(s); pre-2nd/3rd, before the second or third dose.
Lower magnitude of antigen-specific memory B cells in the vaccinated SLE cohort
a, Cartoon showing the ex vivo tetramer-based detection of spike- and RBD-reactive B cells and high-dimensional flow immunoprofiling of B cells from PBMCs. b, Representative fluorescence-activated cell sorting (FACS) plots showing the gating strategy applied to characterize the total CD19⁺CD20⁺ B cells (excluding the CD20⁻CD38hi plasma cells) binding to dual-tetrameric spike probes and tetrameric RBD probes. c,d, Quantification of the total spike-specific (c) and RBD-specific (d) B cells shown as the frequency of CD20⁺ B cells in the HD and SLE cohorts. Each dot represents an individual sample tested at baseline (day 0) and after receiving one (Vax1), two (Vax2) or three (Vax3) vaccine doses. Differences among groups were analyzed using multiple-group comparisons by nonparametric Kruskal–Wallis statistical testing using Dunn’s post hoc analysis in GraphPad Prism. Comparisons using pie charts and a chi-square with Fisher’s test are shown. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001. S, spike; bio–SA, biotin–streptavidin; PC, plasma cell.
Greater DN2 expansion in the vaccinated SLE cohort
a, PaCMAP and FlowSOM representations of spike⁺⁺CD20⁺ B cells from HDs (n = 126) and SLE donors (n = 161). Samples were combined from Vax1 + Vax2 + Vax3. b, Representative FACS plots showing the characterization of spike-reactive CD20⁺ B cell subsets based on the expression of IgD and CD27. CD21 and CD11c markers are used to define the DN subsets further. Individual samples from the HD (Vax1, n = 23; Vax2 1–3 months, n = 22; Vax2 >3 months, n = 34; Vax3 1–3 months, n = 37; Vax3 >3 months, n = 13) and SLE (Vax1, n = 20; Vax2 1–3 months, n = 45; Vax2 >3 months, n = 51; Vax3 1–3 months, n = 24; Vax3 >3 months, n = 20) cohorts. c, Bar graphs showing the relative frequency of spike⁺⁺ B cell subsets based on IgD and CD27 expression in the HD and SLE cohorts. Vertical lines indicate the s.e.m. A two-sided Mann–Whitney U test was used to calculate the significance of the SLE group compared to the HD group. d, Relative frequency of spike⁺⁺ B DN cell subsets in vaccinees from the HD and SLE groups. Vertical lines indicate the s.e.m. A two-sided Mann–Whitney U test was used to calculate the significance of the SLE group compared to the HD group. e, Pie charts showing comparisons of the average sum for DN1 versus non-DN1 (DN2 + DN3 + DN4) spike⁺⁺ B DN cells. A chi-square with Fisher’s test was used for significance testing. f, Reactivity of DN subsets among nonresponders and responders. A chi-square test was used for statistical comparisons. The LOS was based on median values of baseline + 2 × s.d. g, PaCMAP and FlowSOM data representing the level of expression of CXCR3 on clusters of spike⁺⁺CD20⁺ B cells as in a. h, Dot plots representative of the CCR6 and CXCR3 expression of the total and spike⁺⁺ B cells. The bar graphs show the distribution of CCR6- and CXCR3-expressing spike-reactive B cells of the HD and SLE cohorts. Individual samples from the HD (Vax1, n = 23; Vax2 1–3 months, n = 22; Vax2 >3 months, n = 34; Vax3 1–3 months, n = 37; Vax3 >3 months, n = 13) and SLE (Vax1, n = 20; Vax2 1–3 months, n = 45; Vax2 >3 months, n = 51; Vax3 1–3 months, n = 24; Vax3 >3 months, n = 20) cohorts. Vertical lines indicate the s.e.m. A two-sided Mann–Whitney U test was used to calculate the statistical significance of the B cell subset populations in the SLE cohort compared to HD frequencies, as shown in the SLE graphs. i, Pie charts showing the comparison of the total CXCR3⁺spike⁺⁺ and CXCR3⁻spike⁺⁺ B cells, as well as relative frequencies. A chi-square with Fisher’s test was used for comparisons. When indicated, the LOD was set to logarithmic 0.001 for B cells and 0.003 for T cells. The LOS was based on median values of baseline + 2 × s.d. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001. Pac blue, Pacific blue; Unsw, unswitched; B mem, B memory.
Lower T cell reactivity in patients with SLE receiving SARS-CoV-2 mRNA vaccines
a, Schematic showing the 24-h AIM assay-based detection of antigen-reactive T cells upon incubation of PBMCs with a megapool of spike-derived peptides and the flow cytometric analysis of surface-expressed markers of activation and immune profiling. b, Representative FACS plots showing the gating strategy applied to characterize the AIM⁺ spike-reactive CD8⁺ (41BB⁺CD69⁺) T cells or AIM⁺ spike-reactive CD4⁺ (OX40⁺CD40L⁺) T cells and AIM⁺ spike-reactive cTFH (CXCR5⁺ of AIM⁺CD4⁺) cells among the CD3⁺ T cells. c–e, Scatter plots showing the frequency of spike-specific AIM⁺ T cells quantified at each indicated time point in the HD and SLE cohorts for AIM⁺CD8⁺ T cells (c), AIM⁺CD4⁺ T cells (d) and AIM⁺CD4⁺ cTFH (e) cells. The vaccination time points in c–e indicate the following binned time points (T), as indicated in Extended Data Fig. 1a: 0 (T0, baseline), 1 (T1–T3), 2 (T4–T5), 3 (T6–T7), 4 (T8–T9), 5 (B1–B5) and 6 (B6–B9). The number of samples is indicated as ‘Total (n)’. f, PaCMAP and FlowSOM representations of AIM⁺CD8⁺ T cells (HD, n = 137; SLE, n = 163) and AIM⁺CD4⁺ T cells (HD, n = 136; SLE, n = 169) from the HD (n = 126) and SLE (n = 161) cohorts from combined Vax1 + Vax2 + Vax3. A total of 15 clusters are indicated in the plots, and the relative marker expression and classification of the clusters are shown in Extended Data Fig. 7f,g. g, Representative dot plots showing the differentiation of AIM⁺ T cells using CD45RA and CCR7 expression. h, Bar plots showing the distribution of the four subsets (TN/TSCM, TCM, TEM and TEMRA) of AIM⁺CD8⁺ T cells. Individual samples from the HD (Vax1, n = 17; Vax2, n = 47; Vax3, n = 43) and SLE (Vax1, n = 12; Vax2, n = 65, Vax3, n = 38) cohorts. i, Bar plots showing the distribution of the four subsets (TN/TSCM, TCM, TEM and TEMRA) of AIM⁺CD4⁺ T cells. Individual samples from the HD (Vax1, n = 19; Vax2, n = 54; Vax3, n = 48) and SLE (Vax1, n = 20; Vax2, n = 81, Vax3, n = 45) cohorts. A two-sided Mann–Whitney U test was applied to compare each subset of T cells between the SLE and HD groups, and significance is shown in the SLE bars. When indicated, the LOD was set to logarithmic 0.001 for B cells and 0.003 for T cells. The LOS was based on median values of baseline + 2 × s.d. Vertical lines indicate the s.e.m. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001. MP, megapool; TN, naive T cells; TSCM, stem cell-like memory T cells; TCM, central memory T cells; TEMRA, TEM cells reexpressing CD45RA.

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Disease-associated B cells and immune endotypes shape adaptive immune responses to SARS-CoV-2 mRNA vaccination in human SLE

November 2024

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70 Reads

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1 Citation

Nature Immunology

Severe acute respiratory syndrome coronavirus 2 mRNA vaccination has reduced effectiveness in certain immunocompromised individuals. However, the cellular mechanisms underlying these defects, as well as the contribution of disease-induced cellular abnormalities, remain largely unexplored. In this study, we conducted a comprehensive serological and cellular analysis of patients with autoimmune systemic lupus erythematosus (SLE) who received the Wuhan-Hu-1 monovalent mRNA coronavirus disease 2019 vaccine. Our findings revealed that patients with SLE exhibited reduced avidity of anti-receptor-binding domain antibodies, leading to decreased neutralization potency and breadth. We also observed a sustained anti-spike response in IgD⁻CD27⁻ ‘double-negative (DN)’ DN2/DN3 B cell populations persisting during memory responses and with greater representation in the SLE cohort. Additionally, patients with SLE displayed compromised anti-spike T cell immunity. Notably, low vaccine efficacy strongly correlated with higher values of a newly developed extrafollicular B and T cell score, supporting the importance of distinct B cell endotypes. Finally, we found that anti-BAFF blockade through belimumab treatment was associated with poor vaccine immunogenicity due to inhibition of naive B cell priming and an unexpected impact on circulating T follicular helper cells.


Differential Antiviral IgG Titer Decay Rates after Frontline Chemoimmunotherapy in Patients with Aggressive B Cell Lymphoma

November 2024

Blood

Introduction Patients with B cell malignancies remain at high risk of morbidity and mortality from respiratory viruses like SARS-CoV-2. These patients often receive B cell-depleting agents in combination with chemotherapy as part of their cancer treatment, impairing their subsequent capacity to generate antibody responses to infection and vaccination. However, less is known about the effects of these aggressive treatments on already acquired humoral immunity in this population. Objective To determine the effect of frontline chemoimmunotherapy with anti-CD20 antibodies on established antibody titers against SARS-CoV-2, measles, and rubella over time in patients with newly diagnosed aggressive B cell non-Hodgkin lymphoma (aNHL). Methods Patients with a new diagnosis of aNHL were enrolled after informed consent. Serial blood samples were obtained before, during, and up to 1 year after treatment with regimens containing an anti-CD20 antibody + multiagent chemotherapy. IgG binding titers against the SARS-CoV-2 nucleocapsid (N) protein and the spike protein of several SARS-CoV-2 variants were measured with a multiplex assay. Live virus neutralization titers against SARS-CoV-2 variants over time were also measured. IgG titers against measles and rubella were measured by ELISA. Antibody decay half-lives were calculated using exponential model. Clinical information was abstracted from the electronic medical record and correlated with antibody responses. Results A total of 42 individuals were enrolled (33 with aNHL, 9 healthy donor controls). For the aNHL group, mean age was 59.7, 51.5% were male, and 39.4% non-white. Mean number of vaccine doses was 3 with a mean of 199 days between last vaccine and cycle 1 of lymphoma-directed therapy. All patients received rituximab as their anti-CD20 antibody and only 2 patients did not receive an anthracycline. Before treatment (baseline), 56.5% of aNHL patients did not show anti-N antibodies to indicate prior infection. Greater variability in IgG binding titers against wild-type (WT) spike protein and significantly lower neutralization titers were observed in aNHL at baseline vs controls (mean titer 1227 vs 1822 AU/mL, p<0.05). Median binding titers against BA.5 and XBB.1.5 spike was 5.3- and 8.3-fold lower than WT, respectively (vs 4.0- and 7.2-fold in control, respectively). Median anti-WT spike binding titers decreased by 2.5-, 3.4-, and 6.1-fold after 3-, 9- , and 12-months from initiation of chemoimmunotherapy, respectively while titers in controls decreased 1.1-fold over a similar period. After excluding 2 patients with very low anti-WT spike titers before aNHL treatment, the half-life for anti-WT spike was 192 days in aNHL patients vs 444 days in controls (p<0.001). No statistically significant increase in anti-spike titers was seen in the 16 patients who received an additional SARS-CoV-2 vaccine within the first year of treatment initiation. Multivariable analyses for factors associated with more rapid decay will be presented. Antibody titers vs SARS-CoV-2 are known to wane over time. Thus, to determine the effect of aNHL treatment on long-term humoral immunity, IgG titers against measles and rubella were measured, as these antibodies show remarkable stability over time in healthy individuals, and the likelihood of infection while on study was low. Baseline titers against measles and rubella did not differ significantly between controls and aNHL patients. Anti-measles and rubella titers showed <2-fold decrease during the study period in aNHL patients and no decline in control. Conclusion In patients with newly diagnosed aNHL, preexisting antibody titers vs SARS-CoV-2, measles, and rubella, were largely preserved during lymphoma-directed treatment. However, an accelerated rate of decay was observed for anti-spike IgG during the first year after completion of aNHL therapy. Neutralization activity against newer SARS-CoV-2 variants was low throughout the study period. Our data highlight the need for new mechanisms to protect these immunocompromised patients against current and emerging SARS-CoV-2 strains.


Waning immunity drives respiratory virus evolution and reinfection

July 2024

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35 Reads

Reinfections with respiratory viruses such as influenza viruses and coronaviruses are thought to be driven by ongoing antigenic immune escape in the viral population. However, this does not explain why antigenic variation is frequently observed in these viruses relative to viruses such as measles that undergo systemic replication. Here, we suggest that the rapid rate of waning immunity in the respiratory tract is the key driver of antigenic evolution in respiratory viruses. Waning immunity results in hosts with immunity levels that protect against homologous reinfection but are insufficient to protect against infection with a heterologous, antigenically different strain. As such, when partially immune hosts are present at a high enough density, an immune escape variant can invade the viral population even though that variant cannot infect fully immune hosts. Invasion can occur even when the variant's immune escape mutation incurs a fitness cost, and we expect the expanding mutant population will evolve compensatory mutations that mitigate this cost. Thus the mutant lineage should replace the wild-type, and as immunity to it builds, the process will repeat. Our model provides a new explanation for the pattern of successive emergence and replacement of antigenic variants that has been observed in many respiratory viruses. We discuss testable predictions of our model relative to others for understanding the drivers of antigenic evolution in these and other respiratory viruses.



Dynamics of antibody binding and neutralization during viral infection

May 2024

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4 Reads

In vivo in infection, virions are constantly produced and die rapidly. In contrast, most antibody binding assays do not include such features. Motivated by this, we considered virions with n=100 binding sites in simple mathematical models with and without the production of virions. In the absence of viral production, at steady state, the distribution of virions by the number of sites bound is given by a binomial distribution, with the proportion being a simple function of antibody affinity (Kon/Koff) and concentration; this generalizes to a multinomial distribution in the case of two or more kinds of antibodies. In the presence of viral production, the role of affinity is replaced by an infection analog of affinity (IAA), with IAA=Kon/(Koff+dv+r), where dv is the virus decaying rate and r is the infection growth rate. Because in vivo dv can be large, the amount of binding as well as the effect of Koff on binding are substantially reduced. When neutralization is added, the effect of Koff is similarly small which may help explain the relatively high Koff reported for many antibodies. We next show that the n+2-dimensional model used for neutralization can be simplified to a 2-dimensional model. This provides some justification for the simple models that have been used in practice. A corollary of our results is that an unexpectedly large effect of Koff in vivo may point to mechanisms of neutralization beyond stoichiometry. Our results suggest reporting Kon and Koff separately, rather than focusing on affinity, until the situation is better resolved both experimentally and theoretically.


Tissue resident memory CD8 T cells limit respiratory virus transmission by IFN-γ production and activation of nasal cavity epithelial cells

May 2024

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3 Reads

The Journal of Immunology

Many vaccines against respiratory viruses have proven suboptimal in generating long-lasting sterilizing immunity and preventing transmission among populations. It is well established that respiratory tract resident memory CD8 T cells (TRM) induced by vaccination can reduce viral burdens and limit immunopathology upon direct inoculation of respiratory viruses. However, the ability of respiratory tract CD8 TRM to limit viral transmission has remained elusive. We developed a murine model to investigate the role of respiratory tract CD8 TRM in viral transmission using Sendai virus, which naturally transmits among mice. Contact mice were first immunized to generate Sendai virus-specific CD8 TRM and challenged by co-housing with a Sendai virus-infected index mouse. We demonstrated that CD8 TRM can limit viral transmission and decrease viral burdens, even in the absence of B cell responses, CD4 T cells, and circulating effector memory T cells. We evaluated multiple CD8 T cell effector mechanisms for their importance in limiting viral transmission and determined that IFN-γ secretion was critical. Upon IFN-γ signaling, nasal cavity epithelial cells adopted an anti-viral program. Furthermore, CD8 TRM in the nasal cavity alone were sufficient to limit respiratory virus transmission. These findings suggest that respiratory tract CD8 TRM, particularly those within the upper respiratory tract, are a promising vaccine target to prevent respiratory virus transmission among populations.


Developing transmissible vaccines for animal infections

April 2024

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103 Reads

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5 Citations

Science

Many emerging and reemerging pathogens originate from wildlife, but nearly all wild species are unreachable using conventional vaccination, which requires capture of and vaccine administration to individual animals. By enabling immunization at scales sufficient to interrupt pathogen transmission, transmissible vaccines (TVs) that spread themselves through wildlife populations by infectious processes could potentially transform the management of otherwise intractable challenges to public health, wildlife conservation, and animal welfare. However, generating TVs likely requires modifying viruses that would be intended to spread in nature, which raises concerns ranging from technical feasibility, to safety and security risks, to regulatory uncertainties (1, 2). We propose a series of commitments and strategies for vaccine development—beginning with a priori decisions on vaccine design and continuing through to stakeholder codevelopment [see supplementary materials (SM)]—that we believe increase the likelihood that the potential risks of vaccine transmission are outweighed by benefits to conservation, animal welfare, and zoonosis prevention.


Cartoon illustration of a superinfecting vaccine being introduced into the same population from which the vector came. In actuality, the vaccine is superinfected upon as often as it transmits, but the figure only follows a ‘recipient’ host being repeatedly superinfected upon through time. Colors distinguish vector-infected from vaccine-infected hosts. The bottom row follows one host; the top row depicts its contacts that transmit to it and change its infection state. If, for example, the population is initially 50% wild-type and 50% vaccine, half of encounters are each type, and the host spends 50% of its time in each state. This is an extreme case of superinfection dominating prior infections, but it is especially suited to illustrating how population neutrality applies despite the superinfection.
The footprint of vaccine latency, hence immunity, can vary dramatically with changes in host longevity. With superinfection, hosts with latent vaccine contribute to population immunity but are not part of the active vaccine infections and thus can far exceed the population neutrality limit on active infections. This latency ‘footprint’ can be a major benefit to use of a superinfecting vector for a transmissible vaccine. However, superinfection alone does not ensure a large latency footprint – the magnitude depends on infection and host parameters. Two trials of Supplement S2 model (S2.3) are shown, differing in background host death rate (δ); in this model, ‘latent’ infections are considered to be those in which a vaccine infection has been superceded by infection with the wild-type vector. In both trials, vaccine infections at time 300 are introduced at 1/20 the level of active vector infections, and they remain at this level throughout – this is the population neutrality effect whereby the vaccine cannot expand. In contrast, the latency footprint is not determined by just the active vaccine infections but depends – profoundly – on host longevity (the inverse of host death rate). In the top panel, the latent infections (dashed blue) comprise only 0.4% of the total population (measured at time 2000), whereas in the lower panel with reduced host death, latent infections comprise 43% of the total population. Other parameters in the trials are b = 10, β = 1.5 x 10⁻⁵. The death rate parameter (δ) also affects the overall level of infections, so the numbers of vaccinated individuals introduced differs between the two trials to achieve 1/20 the level of active vector infections.
Different possible transmission consequences for a superinfecting transmissible vaccine. The top part of the figure is a key, the lower part depicts a host that started with a vaccine infection (red state) and then became superinfected with wild-type vector (state changed to blue). Qualitatively, there are four cases of possible outcomes from this host regarding the rate it transmits vaccine and vector to new hosts. In the top three cases, the total transmission rate is the same as if it had been infected only once, but the cases differ in whether the transmission is shared between the vaccine and vector or whether the most recent infection dominates the transmission. Those three cases obey population neutrality. At the bottom, the case of independence violates population neutrality because each new superinfection transmits the same regardless of the number of prior infections. These possibilities can be measured experimentally to determine whether a superinfecting transmissible vaccine may escape the expectation of population neutrality.
Recombinant transmissible vaccines will be intrinsically contained despite the ability to superinfect

February 2024

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26 Reads

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1 Citation

Introduction Transmissible vaccines offer a novel approach to suppressing viruses in wildlife populations, with possible applications against viruses that infect humans as zoonoses – Lassa, Ebola, rabies. To ensure safety, current designs propose a recombinant vector platform in which the vector is isolated from the target wildlife population. Because using an endemic vector creates the potential for preexisting immunity to block vaccine transmission, these designs focus on vector viruses capable of superinfection, spreading throughout the host population following vaccination of few individuals. Areas covered We present original theoretical arguments that, regardless of its R0 value, a recombinant vaccine using a superinfecting vector is not expected to expand its active infection coverage when released into a wildlife population that already carries the vector. However, if superinfection occurs at a high rate such that individuals are repeatedly infected throughout their lives, the immunity footprint in the population can be high despite a low incidence of active vaccine infections. Yet we provide reasons that the above expectation is optimistic. Expert Opinion High vaccine coverage will typically require repeated releases or release into a population lacking the vector, but careful attention to vector choice and vaccine engineering should also help improve transmissible vaccine utility.


Citations (51)


... Drones have been employed for dropping baits containing sylvatic plague vaccine for prairie dogs (World Wildlife Fund, 2017) and could be used for animals that are difficult to capture and handle, such as vaccination of whales via their blowholes. The use of transmissible vaccines for wildlife could help prevent transmission of diseases but introduces a new set of risks that must be addressed (Streicker et al., 2024). ...

Reference:

Vaccination of endangered wildlife as a conservation tool: Hindsights and new horizons in the pandemic era
Developing transmissible vaccines for animal infections
  • Citing Article
  • April 2024

Science

... The results reported here show that the risk of hospitalization for dengue was similar between participants with and without previous disease. Similar findings have also been published by other groups (15,16), and they underscore the need to reconsider the utility of the current clinical classification of severe dengue and to re-evaluate the role of previous infection as a risk factor for severe events. ...

Severe disease during both primary and secondary dengue virus infections in pediatric populations

Nature Medicine

... These symptoms are called long-term COVID-19. Although serum antibodies administered for vaccine production are considered markers of viral immune protection, research has demonstrated that persistent memory immune subsets, which are capable of preventing heterologous infections and rapidly responding to secondary infections, can produce local immunity in the lungs [10]. This requires the assembly of many immune cells to achieve resident memory. ...

Prevention of respiratory virus transmission by resident memory CD8+ T cells

Nature

... Based on mouse models, sequential strategy of neoadjuvant immunochemotherapy may be better than concomitant strategy. Chemotherapy can limit immune activation of ICI at the same time, so sequential strategy can retain the ability of immunotherapy to activate immune responses, especially the ability to activate CD8 positive T cells and short-term effector CD8 T cells [18]. ...

Platinum-Based Chemotherapy Attenuates the Effector Response of CD8 T Cells to Concomitant PD-1 Blockade

Clinical Cancer Research

... Simple models have several advantages, such as being more conducive to exact analytical solutions as well as improved interpretability and quantitative estimation. On the other hand, they can also introduce results that are inconsistent with or even the opposite of models that incorporate known biological complexities (Nikas et al. 2023). For this reason, in the second half of the paper, we consider the extent to which the stoichiometric model used in the first half of the paper, parameterized using the data from Pierson et al. (Pierson et al. 2007), can be approximated using very simple models. ...

When does humoral memory enhance infection?

... This finding might be due to an immune response plateau above which neutralizing (and likely other) antibodies appear not to rise linearly based upon modeling. 24 The safety profile defined by 7 days of solicited reactions and 6 months of unsolicited adverse events following either vaccine strain proved to be clinically acceptable and comparable to earlier studies. 3,6,17 The major limitation of this study, especially of the Omicron BA.5 group analysis, is the small sample size overall and in subsets defined by prior vaccination history. ...

Vaccine models predict rules for updating vaccines against evolving pathogens such as SARS-CoV-2 and influenza in the context of pre-existing immunity

... At this point, a vaccine is extremely important. 25 Current studies suggest focusing on the possibility of mpox outbreaks in susceptible populations and among children, pregnant women, and immunocompromised individuals, whose vaccine use needs more research. However, cancer patients tend to have higher levels of hesitancy to receive vaccines, and elucidating the sources of their hesitancy and the factors influencing it is important to promote vaccination. ...

Evolutionary consequences of delaying intervention for monkeypox
  • Citing Article
  • September 2022

The Lancet

... This hypothesis is compatible with studies that show that increased ventilation and the use of face masks offer some protection against COVID-19 (25)(26)(27). Whereas the results from these studies also can be interpreted as reduced likelihood of a none-or-all process, ventilation and face masks reduces the exposure dose, which may in turn reduce the risk of getting infected as well as reduce the severity of illness. Although the model proposed by Koelle et al. (27) does not support this possibility, an experimental inquiry into this topic is clearly warranted. ...

Masks Do No More Than Prevent Transmission: Theory and Data Undermine the Variolation Hypothesis
  • Citing Preprint
  • June 2022

... The XBB subvariant of Omicron was the most prevalent variant worldwide in 2022, the study time period [25]. The lower seroconversion of the Omicron variant (XBB) in this study is consistent with other reports in both cancer and healthy populations [32,33]. Most COVID-19 vaccines were developed before the era of ongoing novel VOCs, leading to challenging problems with vaccine effectiveness [34]. ...

Antibody Response to COVID-19 mRNA Vaccine in Patients With Lung Cancer After Primary Immunization and Booster: Reactivity to the SARS-CoV-2 WT Virus and Omicron Variant
  • Citing Article
  • June 2022

Journal of Clinical Oncology

... Here, mechanistic vaccine QSP models [43] which incorporate quantitatively calibrated antigen physiological-based pharmacokinetic (PBPK) modeling, and thus account for differences across vaccine types (e.g., mRNA vaccines vs. adenovirus vector vaccines) as well as individual patient char-acteristics ( Figure 2 b), can enable rigorously performed VTs to evaluate all heterologous vaccine combinations in silico and thus greatly streamline decision-making. Finally, mechanistic mathematical models can also be employed to integrate available experimental data and generate testable predictions on updating the antigen in SARS-CoV-2 vaccines to match that of arising variants, such as Omicron [ 60 ]. ...

Modeling suggests that multiple immunizations or infections will reveal the benefits of updating SARS-CoV-2 vaccines