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Allo-Priming Reverses Immunosenescence and May Restore Broad Respiratory Viral Protection and Vaccine Responsiveness to the Elderly: Results of a Phase I/II Clinical Trial

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27 March 2025

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28 March 2025

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Abstract
Respiratory viral infections pose a significant health problem that disproportionately affects the elderly. With the aging worldwide population being less responsive to protective vaccines, there is an urgent need for strategies that can protect the elderly from community acquired viral infections. Background/Objectives: Allo-Priming is a novel immunomodulatory vaccine concept using allogeneic, living, activated Th1 cells that are rejected by the host, creating anti-alloantigen Th1 immunity, increasing Th1 titers. Th1 cells orchestrate cellular immunity and the age-related decline in Th1 cells contributes to weakened cellular immune response in the elderly which correlates with poor responsive to vaccines and increased susceptibility to respiratory viral infections. Increased Th1 cell titers in the elderly was hypothesized to reverse immunosenescence and restore cellular immune function. Restoration of cellular immune function was predicted to restore broad respiratory viral protection through a heterologous immune mechanism and increase elderly responsiveness to protective vaccines. Methods: A Phase I/II, multi-center, open label clinical trial was conducted in 40 healthy adults over age 65 years old to investigate the safety of Allo-Priming and the effects this vaccination strategy has on cellular immune function over time. Results: Allo-Priming had a benign safety profile and significantly increased the titer of circulating Th1 cells. The increase in Th1 cells was shown to provide broad, self-amplifying respiratory viral protection over time in an ex-vivo cytopathic effect assay without additional vaccinations and without any viral antigens included in the formulation, as well acting to increase neutralizing antibody titers in low responding individuals previously vaccinated for COVID-19. Conclusions: These results provide support for expanded clinical evaluation of this immunomodulatory vaccination strategy as a possible method to restore cellular immune competence to the elderly and provide broad heterologous immune protection from respiratory viral infections without need for frequent vaccine re-formulations or booster shots. (National Library of Medicine: NCT04441047).
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1. Introduction

Respiratory viral infections have a disproportionate impact on the elderly population. Upon infection, healthy young adults generally only experience mild to moderate upper respiratory tract illness, while the elderly, particularly those with co-morbidities, more frequently experience severe bronchiolitis and pneumonia with high morbidity and mortality. [1,2,3]. Vaccination can be a protective strategy against respiratory viruses, however most current vaccines are less effective in the elderly [4,5]. Therefore, a growing medical challenge exists to develop new vaccination strategies specifically designed to protect the elderly [6].
Current vaccination formulations generally aim to induce high titers of neutralizing antibody responses for protection. However, many respiratory viruses mutate rapidly requiring frequent re-formulation in order to address new surface components that escape previously induced neutralizing antibodies. Moreover, respiratory viral particles often target entry into the epithelial cells lining the respiratory tract. Once inside of these cells, viruses can spread cell-to-cell, avoiding neutralizing antibodies in the mucus [7], suggesting that a cellular immune response may also be required for adequate viral control.
While cellular immunity is known to be vital for identifying and eliminating virus-infected cells [8], most respiratory viral vaccines currently in use were developed without focus on the cellular immune response [9,10]. Once viral infections reach the lower respiratory tract, the lack of cilia and mucus in this compartment leaves acute control of viral spread up to resident macrophages. Phagocytosis of infected cells by macrophages and subsequent antigen processing can result in viral-specific adaptive T-cell responses, leading to ‘sterilizing immunity’ [11]. However, aging impairs the ability of alveolar macrophages to rapidly clear lower respiratory viral infections [12], thus making the elderly more susceptible to severe disease. Therefore, restoration of cellular immune competence in the elderly may be essential for protection from severe viral infections.
Age-related dysfunction of cellular immunity has been shown to contribute to the vulnerability of elderly individuals to viral infection [13,14], including progressive declines in both innate and adaptive cellular immune function [15,16]. Accordingly, viral vaccines that elicit cellular immune responses have become a highly desirable goal for vaccination protocols that target the elderly [17].
The decline in cellular immune function in the elderly is a condition referred to as ‘immunosenescence’ [18,19]. Immunosenescence is characterized by suppressed adaptive immunity and dysfunctional innate immune responses to viral infection [20]. Reversal of immunosenescence and restoration of cellular immune function in the elderly, therefore, is a strategy that could enable the elderly immune system to respond to respiratory viral infections in a manner that resembles the immune responses observed in younger adults.
Interferons (IFN) are key orchestrators of cellular immune responses, inhibiting viral entry, blocking viral replication, and preventing the release of new viral particles [21]. Type I IFNs play a central role in anti-viral immunity [22]. However, Type I IFN signaling and production is defective in the elderly [23]. IFN-γ, a Type II IFN, is also a key cytokine involved in early protection during acute viral infection [24]. The presence of IFN-γ acts on both the infected cell and neighboring cells by creating an “anti-viral state”, a condition in which cells become resistant to viral replication [25]. Since Th1 cells are a major source of IFN-γ [26], our aim was to substitute for defective Type I IFN signaling in the elderly by increasing Th1 cell titers and the release of IFN-γ.
When exposed to a pathogen for the first time, naïve lymphocytes are activated and differentiate to either Th1 or Th2, however the pool of naïve lymphocytes with capability to differentiate declines with age [27], limiting the diversity and depth of cellular immune responses to viruses. To overcome this limitation, we have proposed vaccination with living allogeneic immune cells. Alloantigens are potent immunogens, as even the most severely suppressed immune systems are able to reject allogeneic grafts [28].
We developed a living, activated, non-genetically altered, allogeneic Th1 immune cell (AlloStim®) derived from healthy, intentionally mis-matched, blood donors that will elicit an anti-alloantigen Th1 immune response upon rejection by the host. We have previously shown in a mouse model (Balb/c), that responds to antigens with a genetic Th2 bias [29], that rejection of mis-matched AlloStim® could significantly increase Th1 cell titers despite the genetic Th2 bias [30]. We then proposed that repeated intradermal (ID) injections of AlloStim® to the elderly, a strategy we called “Allo-Priming”, might increase the titer of circulating Th1 cells and provide the same broad immune protection against respiratory viruses, both known and unknown, in the elderly as occurs in the young [31]. This Phase I/II clinical trial was designed to determine clinical proof-of-concept for this hypothesis.

2. Materials and Methods

2.1. Ethical Approvals

This phase I/II open label clinical study was conducted at 4 outpatient clinics in the United States in accordance with Good Clinical Practice (GCP) guidelines. The study protocol was cleared by the US Food and Drug Administration (FDA) under an active Investigational New Drug (IND) application. Study documents were independently reviewed and approved by a central institutional review board (IRB). An independent data safety monitoring board (DSMB) reviewed clinical data for any safety signals. All participants provided written informed consent.

2.2. AlloStim® Formulation

AlloStim® is derived from healthy blood donors and has an identity phenotype of: IFN-γ+, CD4+, CD45RO+, CD62Llo and CD40Lhi. AlloStim® is formulated with microbeads that have anti-CD3/anti-CD28 monoclonal antibodies attached. The AlloStim® cells, with beads attached at a 2:1 bead:cell ratio, were suspended at 1x107 cells/ml in 0.5ml of formulation buffer containing PlasmaLyteA® with 5% Human Serum Albumin (HSA) and 2% dimethyl sulfoxide (DMSO). The formulated AlloStim® cells were aliquoted into vials and cryopreserved in liquid nitrogen (LN2). The vials were transported to clinical sites in LN2 dry shipper containers. Prior to use, the vials were thawed and injected intradermally (ID) per protocol.

2.3. Study Participants

This study enrolled 40 healthy adults of which 20 were aged 65-74 years (mean=70.6 yo: range: 65.1-74.6 yo) and 20 were aged 75 years and older (mean=79.7 yo: range 76.6-89.9yo). Eligible volunteers were screened to be in general good health by physical exam and with complete blood counts, liver function, kidney function and inflammation marker clinical laboratory tests within acceptable normal reference ranges. Volunteers were excluded if they had: a history of autoimmune disease; were HIV positive; a history of organ transplant or tissue allograft; or, any uncontrolled concurrent serious medical or psychiatric illness. SARS-CoV-2 (COVID-19) vaccination was required prior to enrollment and influenza vaccination was allowed 28 days prior to first dose and 28 days after last dose. Influenza A (IAV) IgG (EIA) and Influenza B (IBV) IgG (EIA) was determined at baseline and at Day 336. Volunteers were screened for COVID-19 antigen during the duration of the study if they reported flu-like symptoms and at regular office visits.

2.4. Protocol

Volunteers were administered 0.5ml of AlloStim® by ID injection on day 0, day 3 or 4, day 7, day 10 or 11 and day 14. Peripheral blood samples (20ml) were collected on days 0, 10, 28, 168 and 336 in EDTA lavender top tubes. Peripheral blood mononuclear cells (PBMC) were isolated from the peripheral blood by Ficoll-Hypaque density gradient centrifugation, washed and suspended at 1 x 107 cells/ml in 90% fetal bovine serum (FBS) and 10% DMSO and stored in LN2 until evaluated for cellular immune function. Adverse events (AEs) were monitored in each volunteer at each dosing and during the 336-day evaluation period.

2.5. Mechanism of Action

The hypothesized viral protection mechanism of Allo-Priming is shown in Figure 1. Host rejection of multiple AlloStim® ID injections was predicted to elicit anti-alloantigen Th1 immunity, resulting in an increased titer of Th1 cells in circulation, which was predicted to correct the elderly Th1/Th2 imbalance. Upon exposure to a respiratory viral infection, viral entry into bronchial endothelial cells or engulfment of viral infected cells by alveolar monocytes triggers internal toll-like receptors (TLR) and the release of inflammatory cytokines, such as IL-12 and IL-18. These cytokines are predicted to non-specifically activate the bystander allo-specific Th1 cells, causing their release of IFN-γ into the microenvironment, creating an ‘anti-viral state’. The creation of an anti-viral state would maintain a low viral burden, providing sufficient time for development of an adaptive Th1/CTL viral-specific immune response that was capable of completely eliminating the offending virus (sterilizing immunity). After elimination of a first virus, the new viral-specific Th1/CTL cells now in circulation, add to the existing allo-specific Th1 cells created after Allo-Priming, further increase the Th1/Th2 balance. Later infection with a different virus was predicted to result in an amplified IFN-γ release through bystander activation of both the resident expanded allo-specific Th1 cells and the Th1/CTL cells specific for the first virus. Upon each subsequent viral encounter, bystander activation of memory allo-specific and viral-specific Th1 cells was predicted to cause increased release of IFN-γ and the further expansion of the resident Th1 cells. In this manner, after remodeling the Th1/Th2 balance with Allo-Priming, subsequent environmental exposures to viruses was predicted to create a self-amplifying continuous strengthening of the cellular immune function over time. Thus Allo-Priming would represent a type of trained immunity vaccine that could potentially provide broad protection from respiratory viral infections through viral cross-reactivity and through heterologous immunity (HI) mechanisms [32].

2.6. Cellular Immune Function Assays

PBMC from longitudinal blood samples were analyzed for ability to produce IFN-γ by ELISPOT assay and supernatants from activated PBMC were analyzed for ability to suppress viral lytic activity in a cytopathic effect (CPE) assay.
PBMC isolated from Day 0, 10, 28, 168 and 336 clinical research blood samples were incubated with cell activation cocktails: Phorbol myristate acetate (0.08 μM) with ionomycin (1.34 μM) (PMA) for polyclonal T-cell activation; R848 (Resiquimod), a TRL7/8 agonist, (1 µg/mL) to simulate viral infection with a single stranded RNA (ssRNA) virus; and, a lysate from AlloStim® cells (250 µg/mL) to activate allo-specific T-cells. Activation times were 24 h (PMA), 72 h (AlloStim® lysate) and 120 h for R848, all evaluated in triplicate in 96-well plates.
For the CPE assay, the supernatants from the activated PBMC were co-incubated with viral- infected cell line cultures each selected for their sensitivity to lysis by a corresponding selected live virus: human respiratory syncytial virus (RSV) (ATCC, Cat# VR-26); human coronavirus 229E (ATCC, Cat# VR-740); influenza A virus (IAV) H1N1 (ATCC, Cat# VR-1894) and influenza B virus (IVB) Victoria Lineage strain B/Florida/78/2015 (ATCC, Cat# VR-1931). Human MRC-5 lung fibroblast cells (ATCC, Cat# CCL-171) were the target cells used for RSV and coronavirus 229E cultures and Human HEK-293 kidney epithelial cells (ATCC, Cat# CRL-1573) were the target cells used for IAV and IVB cultures.
The ELISPOT assay was performed using 96-well plates pre-coated with a monoclonal anti-human IFN-γ antibody, according to the manufacturer’s instructions (R&D Systems cat#EL285). PBMC isolated from longitudinal clinical research blood samples were incubated at 1 x106 cells/ml in separate wells of a 96-well plate for each activation cocktail in triplicate. Secreted IFN-γ was captured on a polyvinylidene difluoride (PVDF) membrane, detected by another anti-human IFN-γ antibody, and visualized with alkaline phosphatase and 5-bromo-4-chloro-3-indolyl-phosphate/nitro blue tetrazolium (BCIP/NBT) and analyzed using a Cytation 7 (Agilent) image analyzer and Gen5 software.
In the CPE assay, anti-viral activity was measured based on the ability of supernatants from activated longitudinal PBMC samples to inhibit virus-induced cytopathology in infected cell lines. Cell lysis was determined using a cellular adenosine triphosphate (ATP) detection reagent (Promega) and the luminescence intensity (LI) was measured using the Cytation 7 image analyzer. The viral infectivity and the corresponding tissue culture infective doses (TCID) were determined by serially diluting virus preparations and applying them to target cell lines for the specified exposure period. The virus dilution that produced a cytotoxic effect of >80% of the cultured cells (TCID80) was calculated and used for all subsequent studies. Wells with (virus alone) and without virus (media alone) were used as controls. The percent inhibition of the lytic activity of each virus was normalized to 100% corresponding to the LI in the media alone control and to 0% corresponding to the LI in the virus alone control. As a functional positive control, recombinant IFN-γ was added at 1.3 IU, 13 IU and 133 IU to virus-containing wells to confirm whether a linear viral suppression dose-response could be observed (see Figure 2). All wells were analyzed in triplicate (see Figure 2).

2.7. Flow Cytometry Analysis

PBMC from individual volunteer blood samples were stained using the following antibody panel: CD3-PE (BioLegend #300441), CD4-PerCP-Cy5.5 (BD Biosciences #560650), CD8-APC (BD Biosciences #566852), CD45RA-Pacific Blue (BioLegend # 304123), and CD45RO-PE-Cy7 (BD Biosciences #560608). Samples were acquired using BD FACSLyric flow cytometer with BD FACSuite software (BD Biosciences). FACS files were analyzed using FlowJo software (BD Biosciences).

3. Results

3.1. IFN-γ+ Th1 Cell Titers

To investigate whether Allo-Priming could increase the titer of circulating IFN-γ+ Th1 cells, PBMC isolated from clinical blood samples were analyzed for ability to produce IFN-γ after activation using an ELISPOT assay (see Figure 3).
The potential for circulating T-cells to produce IFN-γ was determined by polyclonal activation of the PBMC with PMA. The median number of PMA-activated T-cells producing IFN-γ was significantly greater in the 75yo+ group compared to the 65-74yo group at each time point. Within each age group, the median IFN-γ release was significantly increased at each time point compared to baseline in the 75yo+ group. In the 65-74yo group the median potential for IFN-γ also increased at each timepoint, but only became significantly greater than baseline at day 168 and day 336.
The number of allo-specific Th1 cells in circulation resulting from the rejection of AlloStim® was determined by activation of PBMC with a lysate derived from the AlloStim® cells. The amount of Allo-specific Th1 cells was negligible in both age groups at baseline. After Allo-Prime dosing, the median number of allo-specific Th1 cells significantly increased in both age groups compared to baseline at each timepoint. The increase in allo-specific Th1 cells in the 75yo+ group was significantly greater than the 65-74yo group only at day 10, while at all other time points the median number of allo-specific cells were not significantly different between the age groups.
To determine the capacity of monocytes in the PBMC to non-specifically activate bystander T-cells after TLR 7/8 activation (simulating a ssRNA viral infection), PBMC were activated with R848. There was negligible bystander activation of IFN-γ+ cells after R848 activation in both age groups at baseline. There was no significant increase detected in the median number of IFN-γ producing cells after R848 activation compared to baseline in the 65-74yo group at any timepoint except for day 10. In the 75yo+ group, the median number of IFN-γ producing cells after R848 activation was significantly increased compared to baseline at each timepoint.

3.2. Viral Lytic Activity Suppression

To determine whether supernatants from activated PBMC could suppress viral lytic activity in a CPE assay [33], supernatants collected from cultured PBMC activated with PMA, alloantigen or R848 were co-cultured with live virus cultures. The percent inhibition of viral lytic activity for coronavirus is shown in Figure 4A, RSV in Figure 4B, IAV in Figure 4C and IBV in Figure 4D.
The viral suppressive activity of supernatants from all activation groups to all tested viruses at baseline were very low (<20%). However, there was significantly better baseline suppression in the 75yo+ age group against IAV and IBV compared to the 65-74yo group at baseline, with no significant difference at baseline between the age groups for RSV or coronavirus. A consistent self-amplifying pattern of increased viral suppression over time was evident in all test groups, even after the Allo-Priming doses were completed.
In the coronavirus CPE cultures (Figure 4A), the viral suppression after PMA and alloantigen became significantly increased in the 75yo+ group compared to the 65-74yo group on day 168 and day 336 and also significantly increased at day 336 after R848 activation. In the RSV CPE cultures (Figure 4B), the viral suppression in the 75yo+ group compared to the 65-74yo group was significantly higher at day 336 in all activation groups and significantly increased at day 168 and day 336, after alloantigen activation.
Whereas, viral suppression of coronavirus and RSV over time was significantly increased in the 75yo+ group compared to the 65-74yo group, a different pattern was observed in the influenza cultures. In the IAV CPE cultures (Figure 4C), the viral suppression in the 65-74yo group compared to the 75yo+ group was significantly higher at day 168 and day 336 in all activation conditions. In the IBV CPE cultures (Figure 4D), the viral suppression was also significantly higher in the 65-74yo group compared to the 75yo+ group after PMA activation at day 336. At all other earlier time points and activation conditions, viral suppression was amplified in time statistically equal between the age groups.

3.3. Flow Cytometry

The changes in the circulating percentages of CD4+ CD45RO+ and CD8+ CD45RO+ memory T-cells was determined by flow cytometry at baseline and days 10, 28, 168 and 336 (see Table 1). No significant change in proportions of memory cells was found between age groups at any time point.

3.4. SARS-CoV-2 Vaccine IgG Titers

7 of 19 (37%) evaluable volunteers in the 65-74yo age group and 4 of 20 (20%) in the 75+yo age group presented with non-neutralizing SARS-CoV-2 IgG titers at baseline after having been fully vaccinated. 5 of 7 (71%) of these low responders in the 65-74yo group and 1 of 4 (25%) in the 75yo+ group developed IgG neutralizing titers after Allo-Priming without additional COVID-19 vaccinations.

3.5. COVID-19 Incidence

4 of the 40 (10%) volunteers were found to be positive for COVID-19 antigen at routine office visits during the 336-day observation period after Allo-Priming, with 3 of these 4 volunteers from the 65-74yo age group and 1 of the 4 in the 75yo+ age group. The findings were incidental and none of these COVID-19 antigen positive volunteers reported any symptoms at the time of detection.

3.6. Adverse Events

A summary of reported adverse events (AE) are shown in Table 2. 31 of 40 volunteers (77.5%) did not experience any AE during the 336-day observation period. The most frequently reported AE was Grade 1 (mild) rash (10%) and Grade 1 non-COVID flu symptoms (7.5%). One serious adverse event (SAE) was reported in a 74yo volunteer that was hospitalized with Grade 2 (moderate) upper respiratory pneumonia due to an unspecified organism (COVID-19, influenza A/B and MRSA were negative, rare gram-positive bacilli and cocci were present). This volunteer fully recovered and was discharged after 3 days of antibiotic and nebulizer therapy. One volunteer reported Grade 1 anemia. No other clinically significant changes in blood chemistries were reported.

4. Discussion

Vaccines generally contain an antigen and an adjuvant. In Allo-Priming, the alloantigens expressed on the intentionally mismatched, living Th1 immune cells (AlloStim®), serve as the source of antigens and the activated AlloStim® cells’ expression of high-density surface CD40L and secretion of IFN-γ serve as the key adjuvants that can steer the allo-specific immune response to a Th1-bias upon rejection by the host [34,35]. The elderly generally present with an imbalance in circulating Th1/Th2 cell ratios, with loss of Th1 cells and IFN-γ [36,37]. The intradermal (ID) injection route was selected based upon prior studies that had shown that viral antigens injected ID tend to drive Th1-biased immune responses to the injected antigens [38].
Loss of innate cellular immune function in the elderly is associated with a decline in Th1 cells [39]. Th1 cells are a major source of IFN-γ and a low amount of IFN-γ in response to respiratory viral infection is correlated with the age-related decline in vaccine efficacy and with increases in morbidity and mortality [40]. In order to increase the titer of Th1 cells, repeated ID injections of AlloStim® cells were administered. The number of cells capable of releasing IFN-γ in response to an alloantigen pulse was analyzed by ELISPOT assay. The cells that produced IFN-γ+ cells after an alloantigen pulse was significantly increased after Allo-Priming and continued to increase over time after completion of dosing, providing support for the putative primary mechanism of action of Allo-Priming to enhance Th1 cell titers (see Figure 1).
While the allo-specific Th1 cell titers were significantly increased over time, FACS analyses of T cell subpopulations did not show any major shifts in CD4+ or CD8+ CD45RO+ memory cells over the same timeframe (see Table 1). This finding is consistent with previous studies demonstrating long-lasting IFN-γ increase over time after bacillus Calmette-Guerin (BCG) vaccination, where heterologous immune (HI) effects were observed, without any change in percentages of T-cell subsets in circulation [41,42]. It is possible that a separate pool of activated memory cells that produce IFN- γ might have migrated to T-cell zones of peripheral lymph nodes or extravasated into tissues, resulting in an underestimation of the CD45RO+ memory cell fractions in the PBMC samples both in our study as well as in prior studies with BCG vaccination.
The self-amplifying pattern of allo-specific Th1 cells without additional vaccinations suggests that these cells expanded over time in-vivo. Since Th1 memory cells can be activated without T-cell receptor (TCR) engagement through a bystander mechanism [43], the significant increases in allo-specific Th1 cells observed are believed to most likely be the result of Th1 cell expansion after bystander activation by cytokines released upon environmental encounters with viruses. Bystander T cell activation has been observed during viral-specific immune responses, and occurs preferentially among CD4+ memory T cells, such as Th1 cells [43].
Evidence that the bystander activation mechanism of T-cells was intact and could be occurring in-vivo was demonstrated by the PBMC responses to R848 (Resiquimod) (see Figure 3and Figure 4). R848 is TLR 7/8 agonist. Engagement of these receptors in macrophages contained in the PBMC cultures mimics detection of single-stranded RNA (ssRNA) viral infections (e.g., coronaviruses, influenza viruses and RSV). TLR 7/8 signaling in macrophages can induce production of inflammatory cytokines, such as IL-12 and IL-18 [44] that are capable of non-specifically activating bystander memory T-cells, such as memory Th1 cells.
In an in-vivo setting, these monokines can potentiate Th1 immune responses to an ongoing infection, including in the elderly [45,46]. The R848 activated T-cells analyzed by ELISPOT (Figure 3) and the viral suppression of supernatants from R848-activated cells in the CPE assay (Figure 4) support that TLR7/8 activation of monocytes could occur in the elderly and result in release of inflammatory cytokines that subsequently activate bystander Th1 memory cells to release IFN-γ. Bystander IFN-γ release can have a feed forward effect to activate and expand additional bystander Th1 cells, creating an inflammatory microenvironment [47], which could replicate the early innate immune response that occurs in young individuals in response to respiratory viral infections.
The response pattern of IFN-γ release after R848 activation on the ELISPOT assay showed low expression in the 65-74yo group compared to the 75+yo group, which was inconsistent with the response patterns after activation with PMA and alloantigen in this age group. The reason for the apparent poor responsiveness in the younger age group after R848 activation is not clear, however may be due to differential numbers of CD56+ NK cells in the PBMC samples. Previous studies have shown that R848 induces IFN-γ expression through activation of NK cells and not T-cells [48]. However, if this were the case, it would be expected that the younger group would be more responsive than the older group, as there is a age-related decline in NK cells [49]. The most likely explanation is that the timing of the cell harvest may have affected the ELISPOT read-out. The PBMC were harvested 120h after R848 activation and transferred to an ELISPOT plate for analysis. This timing was optimized for the 75+ yo group as it was expected the elderly would be less responsive and may take more time for the by-stander activation of T-cells to be detected. However, T-cells in the younger group may have been activated earlier and stopped producing cytokines at the 120h time point. This hypothesis is supported by the fact that the supernatants from the 65-74yo group suppressed viral lytic activity in the CPE assay (Figure 4) with the same self-amplifying pattern as the 75+ yo age group, suggesting that IFN-γ was likely produced into the supernatant over the 120h incubation period.
Encounters with environmental pathogens can leave imprints on an immune system modulated by Allo-Priming which could then affect future immune responses to different viruses through a trained immunity mechanism [50]. The modulated elderly immune system with restored cellular immune function could be remodeled through a similar mechanism as has been suggested by the ‘hygiene hypothesis’ [51] which proposes that the building of a healthy immune system occurs through environmental exposures to pathogens [52].
The pattern of viral suppression in the CPE assays was shown to be significantly increased in the 65-74yo group compared to the 75yo+ group against IAV and IBV, while the suppression was significantly increased in the 75yo+ group compared to the 65-74yo group against RSV and coronavirus. These differences in anti-viral activity observed between the age groups to the different viruses could be related to resident trained immunity histories. Different trained immune histories might have resulted in the differential release of anti-viral cytokines upon PBMC activation at the different time points. A trained immunity effect might be more evident in the 65yo-74yo group against IAV/IBV due to better responsiveness to influenza vaccination in this group as compared to the 75yo+ group [53,54].
Memory Th1 cells resulting from a primary viral infection can have a beneficial effect on subsequent infection with an unrelated virus through HI mechanisms [55]. Training of innate immune cells, such as monocytes, macrophages and/or natural killer (NK) cells, by infection or vaccination, can enhance the immune responses against a new pathogen. For example, trained immunity of alveolar macrophages after viral infection in the lungs is known to support HI responses to unrelated viruses [56].
The self-amplifying increases in cellular immune function and anti-viral protection found here to occur over time, without additional vaccinating doses, supports the hypothesis that Allo-Priming could potentially provide broad respiratory viral protection to the elderly through HI and trained immunity mechanisms. Broad protection against respiratory viruses can occur via HI responses against unrelated subsequent viral infections, including against viruses such as RSV, rhinovirus, coronavirus and influenza viruses [57].
HI broad protection against respiratory viral infections after Allo-Priming may occur through a similar mechanism as has been reported after vaccination with BCG. Vaccination with the live BCG vaccine has been shown provide HI protection against non-related infections [58] and reduce the incidence of respiratory infections in the elderly [59]. HI protection after BCG vaccination occurs through a trained immunity mechanism that results in increased release of IFN-γ upon viral encounter [60]. AlloStim® is a live vaccine that, like BCG, could lead to the long-term presence of memory Th1 cells and increased release of IFN-γ upon viral infection. The increases in Th1 cells observed after Allo-Priming thus may similarly be associated with HI and trained immunity responses to viral infection as is observed after BCG vaccination [41].
Clinical studies suggest that trained immunity can be utilized to enhance immune responses against infections and improve the efficiency of vaccinations in elderly [61]. BCG vaccination, for example, has been shown to increase titers of IgG [62]. In this study, volunteers that presented with non-neutralizing SARS-CoV-2 IgG titers at baseline, after having been fully vaccinated, developed IgG neutralizing titers after Allo-Priming without additional COVID-19 vaccinations. T-cell responses are positively correlated with the levels of neutralizing antibodies after vaccination [63]. The increased cellular immune function demonstrated in the ELISPOT and CPE assays in this study (see Figure 3 and Figure 4) and the increase in COVID-19 IgG titers suggests that Allo-Priming may also have an effect on vaccine responsiveness in the elderly.
In 2023, adults aged 65 and older in the United States were significantly impacted by COVID-19. This elderly age group accounted for approximately 62.9% of COVID-19 hospitalizations, 61.3% of intensive care unit admissions, and 87.9% of in-hospital deaths [64]. During the 336-day observation period in this study, 10% of the volunteers tested positive for COVID-19 antigen on routine clinic visits without exhibiting any symptoms. An additional 2 volunteers presented to the clinic with mild non-COVID-19 flu-like symptoms. One volunteer was hospitalized for respiratory symptoms over the observation period and fully recovered. These real-life observations support that the enhanced cellular immune function that occurs after Allo-Priming may provide broad anti-viral protection against serious disease from respiratory viral infection in this population.
The presumptive HI mechanism of Allo-Priming would have the advantage of potentially reducing the need for multivalent vaccines or advanced knowledge of the antigenic structure of circulating viruses in order to control community acquired viral infections. A vaccine with a HI mechanism would also potentially eliminate the need for frequent re-formulation of some vaccines in order to maintain protection against viral mutant strains and could also possibly provide protection from a future, currently unknown, pandemic viral pathogen (“Disease X”) [65].

5. Conclusions

This Phase I/II clinical trial has provided clinical proof-of-concept for the use of Allo-Priming as a strategy to possibly protect the vulnerable elderly population from severe symptoms resulting from respiratory viral infection. The proof-of-concept data together with the excellent safety profile allows consideration for future clinical testing to evaluate the effects of Allo-Priming in high risk populations, such as assisted living facilities for the elderly, in order to determine in a randomized, controlled study whether Allo-Priming will prevent hospitalization and serious disease from community-acquired viral infections.

Author Contributions

Conception, clinical trial design and writing of the manuscript, MHN. Conduct of the clinical study, JPB, DS, AVMR, NT. Processing and analysis of research samples and preparation of Figures and Tables, CL, XY and RS. All authors participated in review and editing of the manuscript and all have read and agreed to the published version.

Funding

This study was funded by Mirror Biologics, Inc. and was conducted by an independent clinical research organization (CRO) at clinical sites under the supervision of independent clinical investigators.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board of Salus IRB (protocol code: MBI-001-ALLOPRIME) on May 27,2020.

Informed Consent Statement

Informed consent was obtained from all volunteers involved in the study.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors on request.

Acknowledgments

We would like to thank our study volunteers, site coordinators and study site nursing staffs for their expert care and execution of the protocol. We are grateful to Ms. Thu Bui for her expertise and management of our blood donor and drug depot centers and coordination of cold-chain study drug and blood sample logistics. We acknowledge and thank Dr. Elena Fingerut, Yonathan Grumberg and Maayan Tal and their teams in Jerusalem for AlloStim® manufacturing, formulation and shipment in accordance with FDA-mandated Good Manufacturing Practices (GMP). We also wish to thank Avi Kamelhar and Kim C. De Monte from Axella Research, an for independent CRO, for their expert services in managing the clinical study and the clinical data base. We also thank Leslie Thompson from LATgraphics for creating the mechanism of action illustration.

Conflicts of Interest

MH-N is the founder and Chief Medical Officer of Mirror Biologics, Inc., the Sponsor of the study. CL, XY and RS are research scientists employed by the Sponsor. JPB, DS, AVM-R and NT were Principle Investigators at the clinical sites and declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
ATCC American Type Culture Collection
Cat# Catalog number
CTCAE Common Terminology Criteria for Adverse Events
CTL Cytotoxic T-lymphocyte
EDTA Ethylenediaminetetraacetic acid
EIA Enzyme Immunoassay
FACS Fluorescence-activated cell sorting
Th1 T helper 1 lymphocyte
Th2 T helper 2 lymphocyte
TLR Toll-Like Receptor
yo Years Old

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Figure 1. The putative step-by-step mechanism of action of Allo-Priming is shown: 1. Intradermal injection of AlloStim®. 2. The intentionally mis-matched allogeneic living AlloStim® cells are rejected by the host immune system and local immature DC engulf and process the allo-antigens in the context of Th1-steering danger signals. The iDC mature to IL-12+ DC1, that express MHCI and CD80/86 co-stimulatory molecules, migrate to draining lymph node and present alloantigens to cognate T-cells. 3. Allo-specific Th1 cells enter the peripheral blood. 4. Upon each intradermal injection of AlloStim®, the titer of allo-specific Th1 cells in circulation increases. 5. The increases of circulating Th1 cells increases the Th1/Th2 balance. 6. Exposure to respiratory viruses in the environment initiate cellular immune responses. 7. Upon the first viral encounter, 8 alveolar macrophages engulf viral-infected cells in the respiratory tract which activates TLR7/8 and release of cytokines such as IL-18 and IL-12, which act to activate bystander Th1 cells which release IFN-γ, creating an anti-viral state. 9. The alveolar macrophages traffic to the draining lymph node and activate cognate viral-specific Th1/CTL. 10. Viral-specific Th1/CTL enter circulation further increasing the Th1/Th2 balance. 11. Upon a second viral encounter, 12. alveolar macrophages engulf and process viral infected cells and again cause bystander activation of Th1 cells with increased release of IFN-γ . 13. The alveolar macrophages traffic to the draining lymph node and activate cognate Th1/CTL specific for the second virus. 14. The viral-specific Th1/CTL enter circulation, further increasing the Th1/Th2 balance. In this manner, a self-amplifying increase in cellular immune function mediated by the modulated Th1/Th2 balance results upon each environmental encounter with respiratory viruses.
Figure 1. The putative step-by-step mechanism of action of Allo-Priming is shown: 1. Intradermal injection of AlloStim®. 2. The intentionally mis-matched allogeneic living AlloStim® cells are rejected by the host immune system and local immature DC engulf and process the allo-antigens in the context of Th1-steering danger signals. The iDC mature to IL-12+ DC1, that express MHCI and CD80/86 co-stimulatory molecules, migrate to draining lymph node and present alloantigens to cognate T-cells. 3. Allo-specific Th1 cells enter the peripheral blood. 4. Upon each intradermal injection of AlloStim®, the titer of allo-specific Th1 cells in circulation increases. 5. The increases of circulating Th1 cells increases the Th1/Th2 balance. 6. Exposure to respiratory viruses in the environment initiate cellular immune responses. 7. Upon the first viral encounter, 8 alveolar macrophages engulf viral-infected cells in the respiratory tract which activates TLR7/8 and release of cytokines such as IL-18 and IL-12, which act to activate bystander Th1 cells which release IFN-γ, creating an anti-viral state. 9. The alveolar macrophages traffic to the draining lymph node and activate cognate viral-specific Th1/CTL. 10. Viral-specific Th1/CTL enter circulation further increasing the Th1/Th2 balance. 11. Upon a second viral encounter, 12. alveolar macrophages engulf and process viral infected cells and again cause bystander activation of Th1 cells with increased release of IFN-γ . 13. The alveolar macrophages traffic to the draining lymph node and activate cognate Th1/CTL specific for the second virus. 14. The viral-specific Th1/CTL enter circulation, further increasing the Th1/Th2 balance. In this manner, a self-amplifying increase in cellular immune function mediated by the modulated Th1/Th2 balance results upon each environmental encounter with respiratory viruses.
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Figure 2. Viral lytic activity was determined in confluent cell cultures of MRC-5 lung fibroblasts incubated with live RSV and coronavirus and with HEK-293 kidney cells incubated with live influenza A and influenza B viruses. The mean±SE of ATP luminescence intensity (LI) of viable cells was determined from triplicate wells of each virus culture. The LI of cultures with media alone for each virus was normalized to 100% viral suppression and the LI of cells cultured with virus were normalized to 0% viral suppression. Recombinant IFN-γ at 1.3 IU, 13 IU and 133 IU was used as functional positive controls.
Figure 2. Viral lytic activity was determined in confluent cell cultures of MRC-5 lung fibroblasts incubated with live RSV and coronavirus and with HEK-293 kidney cells incubated with live influenza A and influenza B viruses. The mean±SE of ATP luminescence intensity (LI) of viable cells was determined from triplicate wells of each virus culture. The LI of cultures with media alone for each virus was normalized to 100% viral suppression and the LI of cells cultured with virus were normalized to 0% viral suppression. Recombinant IFN-γ at 1.3 IU, 13 IU and 133 IU was used as functional positive controls.
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Figure 3. Spider plots indicate the IFN-γ ELISPOT assay results from PBMC from each volunteer activated with PMA, alloantigen or R848 at baseline, day 10, day 28, day 168 and day 336 segregated by age group. The bar graphs summarize the mean±SE of the spots from each age group. Significance was analyzed between the age groups at each time point and within each age group at each time point compared to baseline. Statistical analysis was conducted using Student’s T-test. P values are shown. Significance p<0.05. (*) significantly different than baseline. (**) significant difference between groups.
Figure 3. Spider plots indicate the IFN-γ ELISPOT assay results from PBMC from each volunteer activated with PMA, alloantigen or R848 at baseline, day 10, day 28, day 168 and day 336 segregated by age group. The bar graphs summarize the mean±SE of the spots from each age group. Significance was analyzed between the age groups at each time point and within each age group at each time point compared to baseline. Statistical analysis was conducted using Student’s T-test. P values are shown. Significance p<0.05. (*) significantly different than baseline. (**) significant difference between groups.
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Figure 4. A-D: The panels show spider plots of each volunteer indicating the normalized percent viral suppression of supernatants derived from PBMC cultures collected at days 0, 10, 28, 168 and 336 that were activated with PMA, Alloantigen and R848 for each age group. Bar charts summarize the mean±SE of each age group at each time point. The difference between the age groups at each time point and the difference at each time point for each age group compared to baseline was analyzed using Student’s T-test. P values are shown on the bar charts. P values<0.05 were considered significant. (*) indicates significance compared to baseline (**) indicates significance between age groups at a single time point.
Figure 4. A-D: The panels show spider plots of each volunteer indicating the normalized percent viral suppression of supernatants derived from PBMC cultures collected at days 0, 10, 28, 168 and 336 that were activated with PMA, Alloantigen and R848 for each age group. Bar charts summarize the mean±SE of each age group at each time point. The difference between the age groups at each time point and the difference at each time point for each age group compared to baseline was analyzed using Student’s T-test. P values are shown on the bar charts. P values<0.05 were considered significant. (*) indicates significance compared to baseline (**) indicates significance between age groups at a single time point.
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Table 1. Memory Cells.
Table 1. Memory Cells.
D0 D10 D28 D168 D336
65-74yo
(n=20)
%CD4+ CD45RO+ 65.3±15.5 63.0±13.2 69.3±12.0 56.7±8.3 57.8±13.5
%CD8+ CD45RO+ 39.2±20.8 34.5±14.8 40.1±19.1 33.3±12.6 36.7±18.0
75yo+
(n=20)
%CD4+ CD45RO+ 62.9±14.9 66.9±15.7 69.0±13.6 69.3±16.6 63.5±17.3
%CD8+ CD45RO+ 41.3±16.9 43.8±16.1 43.1±20.5 43.8±18.9 34.5±2.6
Table 1: The mean±SE. percentage of CD4+ and CD8+ T-cells with CD45RO memory phenotype is shown for each age group at each sample day. Changes from baseline and between age groups at each time point was evaluated by Student’s T-test. No comparisons had p<0.05.
Table 2. Adverse Events.
Table 2. Adverse Events.
Event Grade #subjects
(percent)
Rash 1 4 (10%)
Non-COVID Flu symptoms 1 3 (7.5%)
Back Pain 1 2 (5%)
Anemia 1 2 (5%)
Urinary Tract Infection 1 1 (2.5%)
Vasovagal Syndrome 1 1 (2.5%)
Epistaxis 1 1 (2.5%)
Table 2: The adverse events reported by investigators during the 336 day follow-up period are listed by incidence and percent of total (n=40) and graded in accordance with CTCAE v.5 per subject (n=40).
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