Vaccine Research Articles

Abstract PR003: Preventing and treating HPV-related Cancer with mRNA Therapy Expressing A DC-targeting Antigen

Abstract Persistent human papillomavirus (HPV) infection is linked to several malignancies, highlighting the need for effective therapeutic vaccines. In this study, we tested a lipid nanoparticle-encapsulated mRNA vaccine expressing tHA-mE7-mE6. By mutating the E6 and E7 proteins to reduce their tumorigenicity and fusing them with a truncated influenza hemagglutinin protein (tHA) for better antigen uptake, we improved the vaccine’s efficacy. The tHA-mE7-mE6 mRNA vaccine showed superior results compared to mE7-mE6 mRNA, achieving complete tumor regression and preventing new tumors in an E6 and E7 positive model. It elicited a strong CD8+ T-cell response, with antigen-specific CD8+ T-cells found in the spleen, blood, and tumors. Additionally, the therapy increased DC and NK cell infiltration into tumors. Overall, this study demonstrates that the tHA-mE7-mE6 mRNA vaccine induces a potent anti-tumor immune response, showing promise for treating HPV-induced cancers and preventing recurrence. Citation Format: William Jia. Preventing and treating HPV-related Cancer with mRNA Therapy Expressing A DC-targeting Antigen [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: RNAs as Drivers, Targets, and Therapeutics in Cancer; 2024 Nov 14-17; Bellevue, Washington. Philadelphia (PA): AACR; Mol Cancer Ther 2024;23(11_Suppl):Abstract nr PR003.

Neoantigen DNA vaccines are safe, feasible, and induce neoantigen-specific immune responses in triple-negative breast cancer patients

Abstract Background Neoantigen vaccines can induce or enhance highly specific antitumor immune responses with minimal risk of autoimmunity. We have developed a neoantigen DNA vaccine platform capable of efficiently presenting both HLA class I and II epitopes and performed a phase 1 clinical trial in triple-negative breast cancer patients with persistent disease on surgical pathology following neoadjuvant chemotherapy, a patient population at high risk of disease recurrence. Methods Expressed somatic mutations were identified by tumor/normal exome sequencing and tumor RNA sequencing. The pVACtools software suite of neoantigen prediction algorithms was used to identify and prioritize cancer neoantigens and facilitate vaccine design for manufacture in an academic GMP facility. Neoantigen DNA vaccines were administered via electroporation in the adjuvant setting (i.e., following surgical removal of the primary tumor and completion of standard of care therapy). Vaccines were monitored for safety and immune responses via ELISpot, intracellular cytokine production via flow cytometry, and TCR sequencing. Results Eighteen subjects received three doses of a neoantigen DNA vaccine encoding on average 11 neoantigens per patient (range 4–20). The vaccinations were well tolerated with relatively few adverse events. Neoantigen-specific T cell responses were induced in 14/18 patients as measured by ELISpot and flow cytometry. At a median follow-up of 36 months, recurrence-free survival was 87.5% (95% CI: 72.7–100%) in the cohort of vaccinated patients. Conclusion Our study demonstrates neoantigen DNA vaccines are safe, feasible, and capable of inducing neoantigen-specific immune responses. Clinical trial registration number NCT02348320.

Host Innate and Adaptive Immunity Against African Swine Fever Virus Infection

Africa swine fever virus (ASFV) is the causative agent of African swine fever (ASF), a highly contagious hemorrhagic disease that can result in up to 100% lethality in both wild and domestic swine, regardless of breed or age. The ongoing ASF pandemic poses significant threats to the pork industry and food security, with serious implications for the sanitary and socioeconomic system. Due to the limited understanding of ASFV pathogenesis and immune protection mechanisms, there are currently no safe and effective vaccines or specific treatments available, complicating efforts for prevention and control. This review summarizes the current understanding of the intricate interplay between ASFV and the host immune system, encompassing both innate and adaptive immune responses to ASFV infection, as well as insights into ASFV pathogenesis and immunosuppression. We aim to provide comprehensive information to support fundamental research on ASFV, highlighting existing gaps and suggesting future research directions. This work may serve as a theoretical foundation for the rational design of protective vaccines against this devastating viral disease.

Abstract A019: Analytical and clinical validation of HPV-SEQ, an NGS-based liquid biopsy platform for detection and quantification of human papilloma virus circulating tumor DNA

Abstract Human papillomavirus (HPV) infection is the primary causative factor driving the rising incidence of oropharyngeal squamous cell carcinoma (OPSCC). High-risk HPV16 and HPV18 strains are responsible for the majority of HPV related OPSCC cases, with ∼90% and 3-5% respectively. As HPV positivity is associated with improved treatment response and prognosis, correct determination of HPV status is critical for risk stratification and treatment management. While diagnostic tumor biopsy remains a useful tool for HPV profiling, the drawbacks of this approach include pain and discomfort caused by its invasive nature, as well as inability to repeat multiple serial biopsies over time. Noninvasive detection of circulating tumor (ct)HPV-DNA in plasma has emerged as an attractive investigative strategy for early disease diagnosis, real-time response monitoring, and cancer surveillance. However, to date, there is no standard or routine liquid biopsy-based HPV testing for patients with OPSCC. The accuracy of HPV detection in plasma depends on the metrics of the specific method used. Comparison of the most common approaches for detection of ctHPV-DNA shows that next-generation sequencing (NGS)-based assays are superior to that of qPCR and ddPCR, especially in patients with low disease burden. Furthermore, as the majority of current liquid biopsy tests are designed to detect viral E6 and E7 genes, it may comprise a potential challenge for detection of patient-derived ctHPV-DNA among individuals treated with therapeutic vaccines expressing non-oncogenic E6/E7 constructs, actively evaluated in clinical trial settings. To this end, we have developed HPV-SEQ, a novel NGS method designed to achieve maximum sensitivity for HPV16/18 L1 gene in DNA libraries prepared from plasma of OPSCC patients. Here we describe the thorough analytical characterization and clinical validation studies of this lab-developed test conducted and certified under clinical laboratory improvement amendments regulations. HPV-SEQ assay were assessed using both contrived samples and biological specimens by measuring a set of performance attributes including limits of blank, limits of detection, limits of quantitation, accuracy and precision. The assay has demonstrated a robust quantitative detection across a wide ctHPV-DNA range, with low level of background signal (<0.05 copies/sample) in healthy donors and qualitative cut-off of >1.39 copies for both HPV strains (ensuring sufficient differentiation between negative and low positive samples), as well as outstanding sensitivity and specificity, approaching 100%. Given the rapid decrease in sequencing cost and effective integration of sequencing data in clinical care, NGS is likely to displace other HPV detection tests over the next few years. As such, our well-validated, ultra-sensitive, plasma-based HPV profiling method with optimal analytical performance may represent a significant advancement in risk stratification, treatment management, and surveillance for patients with OCSCC and other HPV- driven malignancies. Citation Format: Samaneh Eickelschulte, Anna Starus, David H Murray, Anja K Keyser, Oliver Schauer, Johannes Fredebohm, Frederick Jones, Alexander T Pearson, Everett E Vokes, Ari J Rosenberg, Nishant Agrawal, Evgeny Izumchenko. Analytical and clinical validation of HPV-SEQ, an NGS-based liquid biopsy platform for detection and quantification of human papilloma virus circulating tumor DNA [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr A019.

Oral Bacillus subtilis spores-based vaccine for mass vaccination against porcine reproductive and respiratory syndrome

Oral Bacillus subtilis spores-based vaccine for mass vaccination against porcine reproductive and respiratory syndrome

Prophylactic and therapeutic vaccine development: advancements and challenges

AbstractBiomedical research is fundamental in developing preventive and therapeutic vaccines, serving as a cornerstone of global public health. This review explores the key concepts, methodologies, tools, and challenges in the vaccine development landscape, focusing on transitioning from basic biomedical sciences to clinical applications. Foundational disciplines such as virology, immunology, and molecular biology lay the groundwork for vaccine creation, while recent innovations like messenger RNA (mRNA) technology and reverse vaccinology have transformed the field. Additionally, it highlights the role of pharmaceutical advancements in translating lab discoveries into clinical solutions. Techniques like CRISPR-Cas9, genome sequencing, monoclonal antibodies, and computational modeling have significantly enhanced vaccine precision and efficacy, expediting the development of vaccines against infectious diseases. The review also discusses challenges that continue to hinder progress, including stringent regulatory pathways, vaccine hesitancy, and the rapid emergence of new pathogens. These obstacles underscore the need for interdisciplinary collaboration and the adoption of innovative strategies. Integrating personalized medicine, nanotechnology, and artificial intelligence is expected to revolutionize vaccine science further. By embracing these advancements, biomedical research has the potential to overcome existing challenges and usher in a new era of therapeutic and prophylactic vaccines, ultimately improving global health outcomes. This review emphasizes the critical role of vaccines in combating current and future health threats, advocating for continued investment in biomedical science and technology.

Immune Checkpoint Inhibitors and Vaccination: Assessing Safety, Efficacy, and Synergistic Potential

Although immune checkpoint inhibitors (ICIs) have become predominant therapies for cancer, the safety and efficacy of combining ICIs with vaccinations remain areas of needed investigation. As ICIs gain broader clinical application, the relevance of current vaccination guidelines for cancer patients—largely developed in the context of cytotoxic therapies—becomes increasingly uncertain. Although data support the safety of combining inactivated influenza and mRNA SARS-CoV-2 vaccines with ICI therapy, comprehensive data on other infectious disease vaccines remain scarce. Notably, the combination of ICIs with infectious disease vaccines does not appear to exacerbate immune-related adverse events, despite the heightened cytokine activity observed. However, the efficacy of vaccines administered alongside ICIs in preventing infectious diseases remains poorly supported by robust evidence. Preliminary findings suggest a potential survival benefit in cancer patients receiving ICI therapy alongside influenza or SARS-CoV-2 vaccination, though the quality of evidence is currently low. Moreover, the synergistic potential of combining therapeutic cancer vaccines, particularly mRNA-based vaccines, with ICIs indicates promise but with a paucity of phase III data to confirm efficacy. This review critically examines the safety and efficacy of combining ICIs with both infectious disease vaccines and therapeutic cancer vaccines. While vaccination appears safe in patients undergoing ICI therapy, the impact on infectious disease prevention and cancer treatment outcomes warrants further rigorous investigation.

Structure-based design of glycoprotein subunit vaccines for mumps

Mumps virus (MuV) is a highly contagious paramyxovirus that is endemic in most regions of the world and continues to cause outbreaks even in highly immunized populations. Outbreaks of mumps in countries with high measles, mumps, and rubella vaccination coverage have been attributed to waning immunity and antigenic differences between the Jeryl Lynn vaccine strain (genotype A) and circulating wild-type viruses. To obtain a subunit vaccine, we used structure-based design to engineer the mumps fusion (F) glycoprotein stabilized in its prefusion conformation (Pre-F) as well as a chimeric immunogen comprising Pre-F linked to mumps hemagglutinin neuraminidase (HN); in mice, both Pre-F antigen and the chimeric antigen elicited potent cross-reactive plaque reducing neutralizing titers to genotypes A, G, and H mumps. A crystal structure of mumps Pre-F at 2.16 Å resolution validated the stabilization strategy, while a post-fusion form of F was engineered as a comparator. Monoclonal antibodies to mumps Pre-F and HN were isolated from immunized mice; 7 of 14 Pre-F-specific antibodies and 9 of 15 HN-specific antibodies were capable of neutralizing genotype G MuV with a range of potencies. Additionally, 7 of 14 Pre-F-specific antibodies neutralized genotype A mumps. Structural and binding analyses of Pre-F-specific antibodies revealed binding to four discrete neutralizing antigenic sites and binding analyses of HN-specific antibodies revealed binding to five discrete neutralizing antigenic sites. Overall, the PreF and the chimeric Pre-F/HN immunogens are promising candidates to boost MMR-elicited immunity to mumps or as a next-generation vaccine.

Dissecting Immunological Mechanisms Underlying Influenza Viral Nucleoprotein-induced Mucosal Immunity Against Diverse Viral Strains

The nucleoprotein (NP) of type A influenza virus (IAV) is highly conserved across all virus strains, making it an attractive candidate antigen for universal vaccines. While various studies have explored NP-induced mucosal immunity, here we interrogated the mechanistic differences between intramuscular (IM) and intranasal (IN) delivery of a recombinant adenovirus carrying NP fused with a bifunctional CD40 ligand. Despite being less effective than IM delivery in inducing systemic cellular immune responses and antibody-dependent cellular cytotoxicity (ADCC), IN immunization elicited superior antigen-specific recall humoral and cellular response in the nasal associated lymphoid tissue (NALT) of the upper respiratory tract, the initial site of immune recognition and elimination of inhaled pathogens. IN vaccination also induced significantly stronger pulmonary T cell responses in the lower respiratory tract than IM vaccination, in particular the CD8 T cells. Moreover, blocking lymphocyte circulation abrogated IM but not IN immunization induced protection, illustrating the critical role of local memory immune response upon viral infection. Notably, the CD40-targeted nasal delivery not only improved the magnitude but also the breadth of protection, including against lethal challenge with a newly isolated highly pathogenic avian H5N1 strain. These findings are informative for the design of universal mucosal vaccines, where the predominant mode of protection is independent of neutralizing antibodies.

CTIM-08. FIRST IN HUMAN STUDY OF THE MRNA-BASED CANCER VACCINE CVGBM IN PATIENTS (PTS) WITH NEWLY-DIAGNOSED AND SURGICALLY RESECTED MGMT-UNMETHYLATED GLIOBLASTOMA (GBM): FIRST RESULTS FROM THE DOSE ESCALATION PHASE

Abstract INTRODUCTION CVGBM is an investigational therapeutic mRNA-based vaccine encoding 8 epitopes derived from tumor associated antigens with potential relevance in GBM. This is an ongoing, first-in-human study evaluating the safety of CVGBM in pts with newly-diagnosed MGMT-unmethylated GBM. METHODS HLA-A*02:01-positive pts with newly-diagnosed MGMT-unmethylated GBM (CNS WHO Grade [Gr] 4) who had a gross total or partial resection and completed radiotherapy ± concomitant temozolomide received CVGBM on Days 1, 8, 15, 29, 43, 57 and 71 + 6 optional doses at 6-week intervals. Primary endpoints are safety, tolerability and dose-limiting toxicities (DLTs). Immunogenicity is an exploratory endpoint. RESULTS As of 29/2/2024, 16 pts were enrolled in the dose-escalation part (Part A); 3 each in DL 1 (12 µg), DL 2 (25 µg), and DL 3 (50 µg), and 7 in DL 4 (100 µg). For all cohorts, mean time on study from 1st dose to last visit was 4.5 months (min: 1.5; max: 8). 109 doses were administered (mean: 6.8 doses per pt). All pts completed the 2-week DLT evaluation period without DLTs. Of 156 treatment-emergent adverse events (TEAEs), the majority (73%) were CTCAE Gr 1 (21% Gr 2, 6% Gr 3). The most common related TEAEs were chills (n=13), pyrexia (n=12), headache (n=12), fatigue (n=11) and malaise (n=5), mostly of mild to moderate severity. 7 pts had 9 ≥ Gr 3 AEs assessed as potentially related to CVGBM by the investigators outside the DLT period (cerebral edema [n=2], leukoencephalopathy, pseudoprogression with cerebral edema, structural epilepsy, ataxia, hypertension, malaise and fever [1 of each]), evenly distributed across cohorts. First immunogenicity data are planned to be presented. CONCLUSIONS CVGBM was generally well tolerated with an acceptable safety profile. The highest tolerated dose was not reached. Based on all available safety data, the selected dose for trial expansion was 100 µg. Previously presented at ESMO 2024, “FPN (Final Publication Number): 4400, Ghazaleh Tabatabai et al. - Reused with permission.

Analysis of Preferred Codon Usage in the ZIKA Virus Genome and Their Implications for Genome Evolution and Vaccine Design

Analysis of Preferred Codon Usage in the ZIKA Virus Genome and Their Implications for Genome Evolution and Vaccine Design

Personalized cancer vaccine design using AI-powered technologies

Immunotherapy has ushered in a new era of cancer treatment, yet cancer remains a leading cause of global mortality. Among various therapeutic strategies, cancer vaccines have shown promise by activating the immune system to specifically target cancer cells. While current cancer vaccines are primarily prophylactic, advancements in targeting tumor-associated antigens (TAAs) and neoantigens have paved the way for therapeutic vaccines. The integration of artificial intelligence (AI) into cancer vaccine development is revolutionizing the field by enhancing various aspect of design and delivery. This review explores how AI facilitates precise epitope design, optimizes mRNA and DNA vaccine instructions, and enables personalized vaccine strategies by predicting patient responses. By utilizing AI technologies, researchers can navigate complex biological datasets and uncover novel therapeutic targets, thereby improving the precision and efficacy of cancer vaccines. Despite the promise of AI-powered cancer vaccines, significant challenges remain, such as tumor heterogeneity and genetic variability, which can limit the effectiveness of neoantigen prediction. Moreover, ethical and regulatory concerns surrounding data privacy and algorithmic bias must be addressed to ensure responsible AI deployment. The future of cancer vaccine development lies in the seamless integration of AI to create personalized immunotherapies that offer targeted and effective cancer treatments. This review underscores the importance of interdisciplinary collaboration and innovation in overcoming these challenges and advancing cancer vaccine development.

Global Epidemiology of Meningococcal Disease-Causing Serogroups Before and After the COVID-19 Pandemic: A Narrative Review.

Invasive meningococcal disease (IMD) is associated with high morbidity and mortality and predominantly caused by five Neisseria meningitidis serogroups (A/B/C/W/Y). Polysaccharide conjugate vaccines induce T-cell-dependent immune responses, are immunogenic in infants and adults, and reduce carriage, and vaccination of age groups associated with high-carriage can provide indirect protection in the unvaccinated (herd immunity). Successful vaccination programs must be tailored to local epidemiology, which varies geographically, temporally, and by age and serogroup. Serogroup A IMD once predominated globally, but has largely disappeared following mass vaccination programs. Serogroup B was a predominant cause of IMD in many global regions from 2010 to 2018, typically affecting younger age groups. Spread of serogroup C clonal complex-11 IMD in the 1990s prompted implementation of MenC vaccine programs in many countries, resulting in declines in prevalence. Serogroup C still caused>20% of global IMD through the mid-2010s. Serogroup W became a significant contributor to global IMD after Hajj pilgrimage outbreaks in 2000; subsequent increases of endemic disease and outbreaks were reported pre-pandemic in many regions. Serogroup Y emerged in the 1990s as a significant cause of IMD throughout various regions and prevalence had increased or stabilized from 2010 to 2018. Serogroup X is uncommon outside the African meningitis belt, and its prevalence has declined since before the COVID-19 pandemic. Global IMD declines during the pandemic were followed by resurgences generally caused by serogroups that were prevalent pre-pandemic and affecting mainly unvaccinated age groups (particularly adolescents/young adults). Recent IMD epidemiology underscores the importance of vaccinating at-risk age groups against regionally prevalent serogroups; for example, the anti-serogroup X component of the recently prequalified MenACWXY vaccine is likely to provide limited protection outside the African meningitis belt. In other regions, comprehensive vaccination against MenB and MenACWY, which could be streamlined by the recently approved MenABCWY vaccine, seems more appropriate.

Computational design and evaluation of a polyvalent vaccine for viral nervous necrosis (VNN) in fish to combat Betanodavirus infection

Viral nervous necrosis (VNN) poses a significant threat to the aquaculture industry, causing substantial losses and economic burdens. The disease, attributed to nervous necrosis viruses within the Betanodavirus genus, is particularly pervasive in the Mediterranean region, affecting various fish species across all production stages with mortality rates reaching 100%. Developing effective preventive measures against VNN is imperative. In this study, we employed rigorous immunoinformatics techniques to design a novel multi-epitope vaccine targeting VNN. Five RNA-directed RNA polymerases, crucial to the lifecycle of Betanodavirus, were selected as vaccine targets. The antigenicity and favorable physicochemical properties of these proteins were confirmed, and epitope mapping identified cytotoxic T lymphocyte, helper T lymphocyte, and linear B lymphocyte epitopes essential for eliciting a robust immune response. The selected epitopes, characterized by high antigenicity, non-allergenicity, and non-toxicity, were further enhanced by adding PADRE sequences and hBD adjuvants to increase immunogenicity. Two vaccine constructs were developed by linking epitopes using appropriate linkers, demonstrating high antigenicity, solubility, and stability. Molecular dynamics simulations revealed stable interactions between the vaccine constructs and Toll-like receptors (TLRs), essential for pathogen recognition and immune response activation in fish. Notably, vaccine construct V2 exhibited superior stability and binding affinity with TLR8, suggesting its potential as a promising candidate for VNN prevention. Overall, our study presents a comprehensive approach to VNN vaccine design utilizing immunoinformatics, offering safe, immunogenic, and effective solutions across multiple Betanodavirus species. Further experimental validation in model animals is recommended to fully assess the vaccine’s efficacy. This research contributes to improved vaccine development against diverse fish pathogens by addressing emerging challenges and individualized immunization requirements in aquaculture.

FGL2172-220 peptides improve the antitumor effect of HCMV-IE1mut vaccine against glioblastoma by modulating immunosuppressive cells in the tumor microenvironment

ABSTRACT Glioblastoma multiforme (GBM) is a highly aggressive primary brain tumor characterized by poor prognosis and lack of effective treatments. In recent years, peptide vaccines that use sequences based on tumor-specific or tumor-associated antigens to activate immune responses against tumor cells have emerged as a new therapeutic strategy. In this study, we developed a novel therapeutic polypeptide vaccine targeting the tumor-associated antigen Fibrinogen-Like Protein 2 (FGL2), whose dominant epitope peptide was tandemly linked to the C-terminus of HCMV-IE1mut via a linker. We used this vaccine to compare the therapeutic efficacy of HCMV-IE1mut alone versus HCMV-IE1mut-FGL2172-220 and investigate the potential mechanism of action of HCMV-IE1mut-FGL2172-220 in glioma treatment. An in situ GBM model (GL261-IE1-luc cells) was used to determine the efficacy of the vaccine. Treatment with HCMV-IE1mut-FGL2172-220 exerted antitumor effects and extended the survival of the GL261 animal model. We observed reduced proportions of microglia, regulatory T cells (Treg), and myeloid-derived suppressor cells (MDSC) in the tumor microenvironment (TME) by immunofluorescence. Flow cytometry showed that compared to HCMV-IE1mut alone, treatment with HCMV-IE1mut-FGL2172-220 increased the proportion of CD8+ T cells and tissue-resident memory T cells (TRM). ELISA analysis showed that it improved the secretion of tumor-specific IFN-γ and TNF-α by these cells and downregulated the expression of IL-6 and IL-10. Our study demonstrates that the long-peptide FGL2172-220 improves the antitumor efficacy of HCMV-IE1mut, possibly by reshaping immune cells in the glioma microenvironment. These findings lay the groundwork for the development of therapeutic antigenic peptide vaccines to improve antitumor effects for cancer.

Nanoparticles in Subunit Vaccines: Immunological Foundations, Categories, and Applications.

Subunit vaccines, significant in next-generation vaccine development, offer precise targeting of immune responses by focusing on specific antigens. However, this precision often comes at the cost of eliciting strong and durable immunity, posing a great challenge to vaccine design. To address this limitation, recent advancements in nanoparticles (NPs) are utilized to enhance antigen delivery efficiency and boost vaccine efficacy. This review examines how the physicochemical properties of NPs influence various stages of the immune response during vaccine delivery and analyzes how different NP types contribute to immune activation and enhance vaccine performance. It then explores the unique characteristics and immune activation mechanisms of these NPs, along with their recent advancements, and highlights their application in subunit vaccines targeting infectious diseases and cancer. Finally, it discusses the challenges in NP-based vaccine development and proposes future directions for innovation in this promising field.

“Let’s say it wears an Ebola Coat, but it’s not Ebola”: The Rhetoric and Politics of Reframing a Vaccine for a Transnational Clinical Trial

Focusing on how disease, health and vaccine research take on different forms, meanings and interpretations in diverse contexts, we examine the use of rhetoric to recruit people living with HIV in sub-Saharan Africa for an Ebola vaccine clinical trial. Conducted after the West African Ebola outbreak in a country that had not been affected by Ebola, the urgency, relevance and materiality of disease, health and biomedical research takes on different shapes, meanings and understandings. The limitations of multilateral initiatives to address inequalities in associated healthcare and access to essential medicines and vaccines highlight the tensions created when neither local researchers nor patient communities have been involved in the design or planning of the trial, and when the pathologies targeted by experimental technologies are either inappropriate for the people they are aimed at, or unfold without the knowledge of a social consensus. By deciphering the metaphorical discourse on an Ebola vaccine candidate and the erasure of a viral ontology from the hybrid technology to which it gives rise, we understand that the discourse of clinic staff makes it possible to establish a scientific truth in the service of instrumental productivity: manufacturing consent and recruiting arms for vaccine shots. In this article, we show that the closure of biomedicine to an esoteric discourse reflects the weakness of science in communicating what it actually does and the techniques it produces. It also addresses the failure of community engagement in the field of emerging infectious diseases.

Advances in mRNA LNP-Based Cancer Vaccines: Mechanisms, Formulation Aspects, Challenges, and Future Directions

After the COVID-19 pandemic, mRNA-based vaccines have emerged as a revolutionary technology in immunization and vaccination. These vaccines have shown remarkable efficacy against the virus and opened up avenues for their possible application in other diseases. This has renewed interest and investment in mRNA vaccine research and development, attracting the scientific community to explore all its other applications beyond infectious diseases. Recently, researchers have focused on the possibility of adapting this vaccination approach to cancer immunotherapy. While there is a huge potential, challenges still remain in the design and optimization of the synthetic mRNA molecules and the lipid nanoparticle delivery system required to ensure the adequate elicitation of the immune response and the successful eradication of tumors. This review points out the basic mechanisms of mRNA-LNP vaccines in cancer immunotherapy and recent approaches in mRNA vaccine design. This review displays the current mRNA modifications and lipid nanoparticle components and how these factors affect vaccine efficacy. Furthermore, this review discusses the future directions and clinical applications of mRNA-LNP vaccines in cancer treatment.

Minimalist Adjuvant-Free Nano-Vaccine Based on Antigen Self-Assembled Amyloid-Like Fibrils to Induce Potent Immune Response.

The development of cancer vaccines is at the forefront of cancer immunotherapy. Most existing strategies to induce an efficient anti-tumor immune response rely on molecular adjuvants and the incorporation of complex synthetic vectors into vaccine formulations. In contrast, this study introduces a one-step engineering technique to assemble the model antigen, Ovalbumin (OVA), into amyloid aggregates, leveraging biomimetic folding and aggregation to create non-fibrillar OVA globular aggregates and OVA amyloid-like fibrils as single-component, adjuvant-free vaccines. Notably, the OVA amyloid-like fibrils induced stronger immune responses compared to the native form, as evidenced by robust humoral immune reactions and the establishment of immune memory. These enhanced responses can be attributed to the self-adjuvant effect of the unique assembled structure, which preserves antigenic epitopes, improves antigen stability, facilitates antigen internalization, prolongs retention at the injection site, enhances antigen trafficking to the lymphoid organs, and promotes increased secretion of antibodies and cytokines. Furthermore, the efficacy of the vaccine was validated in a high OVA-expressing tumor model, demonstrating the potential of OVA amyloid-like fibrils as an effective vaccine for cancer immunoprevention. This minimalist self-adjuvant vaccine strategy holds promising implications for cancer immunotherapy and can inform the design of other protein antigen-based vaccines.

Engineering immunogens that select for specific mutations in HIV broadly neutralizing antibodies

Vaccine development targeting rapidly evolving pathogens such as HIV-1 requires induction of broadly neutralizing antibodies (bnAbs) with conserved paratopes and mutations, and in some cases, the same Ig-heavy chains. The current trial-and-error search for immunogen modifications that improve selection for specific bnAb mutations is imprecise. Here, to precisely engineer bnAb boosting immunogens, we use molecular dynamics simulations to examine encounter states that form when antibodies collide with the HIV-1 Envelope (Env). By mapping how bnAbs use encounter states to find their bound states, we identify Env mutations predicted to select for specific antibody mutations in two HIV-1 bnAb B cell lineages. The Env mutations encode antibody affinity gains and select for desired antibody mutations in vivo. These results demonstrate proof-of-concept that Env immunogens can be designed to directly select for specific antibody mutations at residue-level precision by vaccination, thus demonstrating the feasibility of sequential bnAb-inducing HIV-1 vaccine design.