Self-Assembling Peptides for Vaccine Adjuvant Discovery DOI Creative Commons
Jingyi Fan, István Tóth, Rachel J. Stephenson

и другие.

Immuno, Год журнала: 2024, Номер 4(4), С. 325 - 343

Опубликована: Окт. 1, 2024

Vaccination is credited as a significant medical achievement contributing to the decline in morbidity and mortality of infectious diseases. Traditional vaccines composed inactivated live-attenuated whole pathogens confer induction potent long-term immune responses; however, traditional pose high risk eliciting autoimmune allergic responses well inflammations. New modern vaccines, such subunit employ minimum pathogenic components (such carbohydrates, proteins, or peptides), overcome drawbacks stimulate effective immunity against infections. However, low immunogenicity requires stimulants (adjuvants), which are an indispensable factor vaccine development. Although there several approved adjuvants human challenges matching designing appropriate for specific along with managing side effects toxicity existing humans, driving development new adjuvants. Self-assembling peptides promising biomaterial rapidly emerging fields biomedicine, vaccination material science. Here, self-assemble into ordered supramolecular structures, forming different building blocks nanoparticle size, including fibrils, tapes, nanotubes, micelles, hydrogels nanocages, great biostability, biocompatibility, effectiveness at controlled release. immunostimulatory agents used enhance prolong responses. This review describes predominant structures self-assembling summarises their recent applications Challenges future perspectives on self-assembled also highlighted.

Язык: Английский

Leveraging artificial intelligence in vaccine development: A narrative review DOI Creative Commons
David B. Olawade,

Jennifer Teke,

Oluwaseun Fapohunda

и другие.

Journal of Microbiological Methods, Год журнала: 2024, Номер 224, С. 106998 - 106998

Опубликована: Июль 15, 2024

Vaccine development stands as a cornerstone of public health efforts, pivotal in curbing infectious diseases and reducing global morbidity mortality. However, traditional vaccine methods are often time-consuming, costly, inefficient. The advent artificial intelligence (AI) has ushered new era design, offering unprecedented opportunities to expedite the process. This narrative review explores role AI development, focusing on antigen selection, epitope prediction, adjuvant identification, optimization strategies. algorithms, including machine learning deep learning, leverage genomic data, protein structures, immune system interactions predict antigenic epitopes, assess immunogenicity, prioritize antigens for experimentation. Furthermore, AI-driven approaches facilitate rational design immunogens identification novel candidates with optimal safety efficacy profiles. Challenges such data heterogeneity, model interpretability, regulatory considerations must be addressed realize full potential development. Integrating emerging technologies, single-cell omics synthetic biology, promises enhance precision scalability. underscores transformative impact highlights need interdisciplinary collaborations harmonization accelerate delivery safe effective vaccines against diseases.

Язык: Английский

Процитировано

27
Transforming vaccinology DOI
Rino Rappuoli, Galit Alter, Bali Pulendran

и другие.

Cell, Год журнала: 2024, Номер 187(19), С. 5171 - 5194

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

18
Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy DOI Creative Commons
Saber İmani, Xiaoyan Li,

Keyi Chen

и другие.

Frontiers in Cellular and Infection Microbiology, Год журнала: 2025, Номер 14

Опубликована: Янв. 20, 2025

Messenger RNA (mRNA) vaccines offer an adaptable and scalable platform for cancer immunotherapy, requiring optimal design to elicit a robust targeted immune response. Recent advancements in bioinformatics artificial intelligence (AI) have significantly enhanced the design, prediction, optimization of mRNA vaccines. This paper reviews technologies that streamline vaccine development, from genomic sequencing lipid nanoparticle (LNP) formulation. We discuss how accurate predictions neoantigen structures guide sequences effectively target cells. Furthermore, we examine AI-driven approaches optimize mRNA-LNP formulations, enhancing delivery stability. These technological innovations not only improve but also enhance pharmacokinetics pharmacodynamics, offering promising avenues personalized immunotherapy.

Язык: Английский

Процитировано

10
Revolutionizing Prostate Cancer Therapy: Artificial intelligence – based Nanocarriers for Precision Diagnosis and Treatment DOI
Moein Shirzad,

Afsaneh Salahvarzi,

Sobia Razzaq

и другие.

Critical Reviews in Oncology/Hematology, Год журнала: 2025, Номер unknown, С. 104653 - 104653

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

5
Vaccine Target Discovery DOI
Li Chuin Chong, Asif Manzoor Khan

Elsevier eBooks, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

Процитировано

12
Vaccine adjuvants for immunotherapy: type, mechanisms and clinical applications DOI Creative Commons
Nimeet Desai,

Sherrin Gotru,

Sagar Salave

и другие.

Frontiers in Biomaterials Science, Год журнала: 2025, Номер 4

Опубликована: Фев. 12, 2025

Immunotherapy has emerged as a powerful approach in treating various diseases, yet its success often hinges on the efficacy of adjuvants, agents that boost immune responses to therapeutic targets. Traditional adjuvants have offered foundational support but may fall short achieving specificity and potency required for advanced therapies. This review highlights new generation poised address these limitations. We explore range innovative agents, including non-inflammatory nucleic acid bacterial derivatives, synthetic molecules, which are redefining role immunotherapy. These emerging hold promise enhancing while tailoring therapies specific disease contexts, from cancer infectious diseases. By examining applications potential this aims provide comprehensive understanding how they can advance immunotherapy levels precision. Through development novel stands achieve more targeted sustained impacts, paving way improved outcomes patient care.

Язык: Английский

Процитировано

1
Integrating Digital Health Solutions with Immunization Strategies: Improving Immunization Coverage and Monitoring in the Post-COVID-19 Era DOI Creative Commons
Grazia Pavia, Francesco Branda, Alessandra Ciccozzi

и другие.

Vaccines, Год журнала: 2024, Номер 12(8), С. 847 - 847

Опубликована: Июль 28, 2024

The COVID-19 pandemic underscored the critical importance of vaccination to global health security and highlighted potential digital solutions improve immunization strategies. This article explores integrating technologies with programs coverage, monitoring, public outcomes. It examines current landscape tools used in initiatives, such as mobile apps, electronic records, data analytics platforms. Case studies from different regions demonstrate effectiveness these addressing challenges vaccine hesitancy, logistics, real-time monitoring distribution adverse events. paper also ethical considerations, privacy issues, need for a robust infrastructure support innovations. By analyzing successes limitations interventions campaigns during after pandemic, we provide recommendations future integration strategies ensure resilient responsive systems. research aims guide policymakers, professionals, technologists leveraging strengthen efforts prepare emergencies.

Язык: Английский

Процитировано

8
Immunosenescence: How Aging Increases Susceptibility to Bacterial Infections and Virulence Factors DOI Creative Commons
Nikolaos Theodorakis, Georgios Feretzakis, Christos Hitas

и другие.

Microorganisms, Год журнала: 2024, Номер 12(10), С. 2052 - 2052

Опубликована: Окт. 11, 2024

The process of aging leads to a progressive decline in the immune system function, known as immunosenescence, which compromises both innate and adaptive responses. This includes impairments phagocytosis decreased production, activation, function T- B-lymphocytes, among other effects. Bacteria exploit immunosenescence by using various virulence factors evade host’s defenses, leading severe often life-threatening infections. manuscript explores complex relationship between bacterial virulence, focusing on underlying mechanisms that increase vulnerability infections elderly. Additionally, it discusses how machine learning methods can provide accurate modeling interactions weakened mechanisms, guiding development personalized interventions. vaccines, novel antibiotics, antivirulence therapies for multidrug-resistant bacteria, well investigation potential immune-boosting therapies, are promising strategies this field. Future research should focus approaches be integrated with immunological, microbiological, clinical data develop interventions improve outcomes growing elderly population.

Язык: Английский

Процитировано

7
Advancing vaccine development in genomic era: A paradigm shift in vaccine discovery DOI

Miraj Ud din,

Xiaohui Liu, Hui Jiang

и другие.

Progress in Biomedical Engineering, Год журнала: 2025, Номер 7(2), С. 022004 - 022004

Опубликована: Фев. 5, 2025

Abstract The issue of antibiotic resistance is increasing with time because the quick rise microbial strains. Overuse antibiotics has led to multidrug-resistant, pan-drug-resistant, and extensively drug-resistant bacterial strains, which have worsened situation. Different techniques been considered applied combat this issue, such as developing new antibiotics, practicing stewardship, improving hygiene levels, controlling overuse. Vaccine development made a substantial contribution overcoming although it underestimated. In recent era, reverse vaccinology contributed different kinds vaccines against pathogens, revolutionizing vaccine process. Reverse helps prioritize better candidates by using various tools filter pathogen’s complete genome. review, we will shed light on computational designing, immunoinformatic tools, genomic proteomic data, challenges success stories designing.

Язык: Английский

Процитировано

1
Epitope-Based Vaccines: The Next Generation of Promising Vaccines Against Bacterial Infection DOI Creative Commons
Jing Li,

Yan Ju,

Min Jiang

и другие.

Vaccines, Год журнала: 2025, Номер 13(3), С. 248 - 248

Опубликована: Фев. 27, 2025

The increasing resistance of bacteria to antibiotics has underscored the need for new drugs or vaccines prevent bacterial infections. Reducing multidrug is a key objective WHO’s One Health initiative. Epitopes, parts antigen molecules that determine their specificity, directly stimulate body produce specific humoral and/or cellular immune responses. Epitope-based vaccines, which combine dominant epitopes in rational manner, induce more efficient and response than original antigen. While these face significant challenges, such as epitope escape low immunogenicity, they offer advantages including minimal adverse reactions, improved efficacy, optimized protection. As result, epitope-based are considered promising next-generation approach combating This review summarizes latest advancements, future prospects targeting bacteria, with focus on development workflow application antibiotic-resistant pathogens high mortality rates, Staphylococcus aureus, Streptococcus pneumoniae, pyogenes, Klebsiella Acinetobacter baumannii, Pseudomonas aeruginosa. goal this provide insights into vaccination strategies combat infections associated antibiotic rates.

Язык: Английский

Процитировано

1