Computer-Aided Discovery of Potent Broad-Spectrum Vaccine Adjuvants

Iron Deficiency Impairs Dendritic Cell Development and Function, Compromising Host Anti-Infection Capacity

The prevalence of acute lower respiratory infections in individuals with iron deficiency (ID) has significantly increased, and is correlated with reduced numbers of immune cells and impaired immune function. Dendritic cells (DCs) play a crucial role in combating the influenza A virus (IAV) by initiating adaptive immune responses. However, the impact of ID on DCs and their response to IAV infection remain unclear. This study showed that ID impairs the antigen-presenting ability of DCs, thereby hindering their capacity to mediate T-cell proliferation and clear viruses. The restrictive effects of ID on DCs begin in the bone marrow and specifically affect the monocyte DC progenitor (MDP) stage. A reduction in the number of MDPs and compromised immune potential lead to a decrease in the population and functionality of DCs in the subsequent common DC precursor (CDP) stage in the blood, spleen, and lungs. This study highlights the previously unrecognized impact of ID on DCs and provides valuable insights into immune cell responses and the application of iron supplementation in the fight against viral infections.

In Silico-Guided Discovery of Polysaccharide Derivatives as Adjuvants in Nanoparticle Vaccines for Cancer Immunotherapy

Cancer vaccines utilizing nanoparticle (NP) structures that integrate antigens and adjuvants to enhance delivery and stimulate immune responses are emerging as a promising avenue in cancer immunotherapy. However, the development of cancer vaccines has been significantly hindered by the low immunogenicity of tumor antigens. To address this challenge, substantial efforts have been made in developing innovative adjuvants to elicit effective immune responses. In this study, we develop a NP cancer vaccine assisted by a polysaccharide derivative adjuvant, designed through a computational strategy, to evoke effective antigen-specific antitumor immunity. Using TLR4 as the putative receptor, we conducted a comprehensive evaluation of a prescreening library consisting of 34 inulin derivatives through docking and molecular dynamics simulation. Consequently, a new derivative, benzoylated inulin (InBz), is selected as the most promising TLR4 agonist. The adjuvant effect of InBz is evaluated by fabricating InBz NPs encapsulating the model antigen ovalbumin (OVA). In vitro, InBz-OVA NPs effectively activate the TLR4 signaling pathways and facilitate dendritic cell maturation, thereby enhancing the antigen delivery and presentation. In vivo, InBz-OVA NPs outperform a commercial aluminum-based adjuvant, elicit robust antibody titers, induce antigen-specific cytotoxic T lymphocytes, and achieve significant tumor suppression in murine models. Besides, the adjuvant effects of other representative derivatives, namely, acetylated and chloroacetylated inulin, with moderate and low potential from the library, are also chemically synthesized and experimentally evaluated and found to be in agreement with computational predictions, confirming the credibility of the strategy. This study provides an effective platform for the pursuit of efficient polysaccharide-based vaccine adjuvants.

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.

Vaccine-based therapeutic interventions in lung cancer management: A recent perspective

The incidence of lung cancer continues to grow globally, contributing to an ever-increasing load on healthcare systems. Emerging evidence has indicated lowered efficacy of conventional treatment strategies, such as chemotherapy, surgical interventions and radiotherapy, prompting the need for exploring alternative interventions. A growing focus on immunotherapy and the development of personalized medicine has paved the way for vaccine-based delivery in lung cancer. With various prominent targets such as CD8+T cells and PD-L1, immune-targeted, anti-cancer vaccines have been evaluated in both, pre-clinical and clinical settings, to improve therapeutic outcomes. However, there are a number of challenges that must be addressed, including the scalability of such delivery systems, heterogeneity of lung cancers, and long-term safety as well as efficacy. In addition to this, natural compounds, in combination with immunotherapy, have gained considerable research interest in recent times. This makes it necessary to explore their role in synergism with immune-targeted agents. The authors of this review aim to offer an overview of recent advances in our understanding of lung cancer pathogenesis, detection and management strategies, and the emergence of immunotherapy with a special focus on vaccine delivery. This finding is supported with evidence from testing in non-human and human models, showcasing promising results. Prospects for phytotherapy have also been discussed, in order to combat some pitfalls and limitations. Finally, the future perspectives of vaccine usage in lung cancer management have also been discussed, to offer a holistic perspective to readers, and to prompt further research in the domain.

Lung megakaryocytes engulf inhaled airborne particles to promote intrapulmonary inflammation and extrapulmonary distribution

Many lung immune cells are known to respond to inhaled particulate matter. However, current known responses cannot explain how particles induce thrombosis in the lung and how they translocate to distant organs. Here, we demonstrate that lung megakaryocytes (MKs) in the alveolar and interstitial regions display location-determined characteristics and act as crucial responders to inhaled particles. They move rapidly to engulf particles and become activated with upregulation in inflammatory responses and thrombopoiesis. Comprehensive in vivo, in vitro and ex vivo results unraveled that MKs were involved in particle-induced lung damages and shed particle-containing platelets into blood circulation. Moreover, MK-derived platelets exhibited faster clotting, stronger adhesion than normal resting platelets, and inherited the engulfed particles from parent MKs to assist in extrapulmonary particle transportation. Our findings collectively highlight that the specific responses of MKs towards inhaled particles and their roles in facilitating the translocation of particles from the lungs to extrapulmonary organs for clearance.

Nanoparticle-Mediated Immunotherapy in Triple-Negative Breast Cancer

Triple-negative breast cancer (TNBC) is an aggressive subtype with the worst prognosis and highest recurrence rates. The treatment choices are limited due to the scarcity of endocrine and HER2 targets, except for chemotherapy. However, the side effects of chemotherapy restrict its long-term usage. Immunotherapy shows potential as a promising therapeutic strategy, such as inducing immunogenic cell death, immune checkpoint therapy, and immune adjuvant therapy. Nanotechnology offers unique advantages in the field of immunotherapy, such as improved delivery and targeted release of immunotherapeutic agents and enhanced bioavailability of immunomodulators. As well as the potential for combination therapy synergistically enhanced by nanocarriers. Nanoparticles-based combined application of multiple immunotherapies is designed to take the tactics of enhancing immunogenicity and reversing immunosuppression. Moreover, the increasing abundance of biomedical materials holds more promise for the development of this field. This review summarizes the advances in the field of nanoparticle-mediated immunotherapy in terms of both immune strategies for treatment and the development of biomaterials and presents challenges and hopes for the future.