Mucosal vaccination is a promising strategy for combating infectious diseases caused by pathogenic microbes, as it can generate antigen-specific immune responses in both systemic and mucosal compartments. In our recent study, we developed a nasal vaccine system for Streptococcus pneumoniae infections in mice using enzymatically polymerized polyphenols such as caffeic acid. However, the efficacy of this mucosal vaccine system is approximately 70%, indicating a need for improvement. To address this issue, we hypothesized that incorporating a mucoadhesive agent that enhances mucosal absorption into a polyphenol-based mucosal vaccine system would improve vaccine efficacy. Contrary to our expectations, we found that adding a mucoadhesive agent, hydrophobically modified hydroxypropylmethylcellulose, to the vaccine system reduced the stimulation of antigen-specific antibody responses in both the mucosal (more than 90% reduction; P < 0.05) and systemic compartments (more than 80% reduction; P < 0.05). Although the addition of the mucoadhesive agent may have interfered with the interaction between the mucosal epithelium and the vaccine system, the underlying mechanism remains unclear, and further research is needed to fully understand the mechanisms involved.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1615/IntJMedMushrooms.2024054586 | DOI Listing |
J Virol
January 2025
MRC-University of Glasgow Centre for Virus Research, Glasgow, Scotland, United Kingdom.
The unprecedented sequencing efforts during the COVID-19 pandemic paved the way for genomic surveillance to become a powerful tool for monitoring the evolution of circulating viruses. Herein, we discuss how a state-of-the-art artificial intelligence approach called protein language models (pLMs) can be used for effectively analyzing pathogen genomic data. We highlight examples of pLMs applied to predicting viral properties and evolution and lay out a framework for integrating pLMs into genomic surveillance pipelines.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
State Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, 518055, P. R. China.
Adjuvants are non-specific immune enhancers commonly used to improve the responsiveness and persistence of the immune system toward antigens. However, due to the undefined chemical structure, toxicity, non-biodegradability, and lack of design technology in many existing adjuvants, it remains difficult to achieve substantive breakthroughs in the adjuvant research field. Here, a novel adjuvant development strategy based on stapling peptides is reported to overcome this challenge.
View Article and Find Full Text PDFGerontologist
January 2025
Population Health Initiative, University of Washington, Seattle, WA, USA.
Background And Objectives: The study aimed to identify key drivers of vaccine hesitancy among healthcare workers (HCWs) employed at Long-term care facilities (LTCF) within selected states. It also sought to determine which interventions, policies, and programs effectively reduced HCW vaccine hesitancy for COVID-19 and influenza.
Research Design And Methods: The study employed a mixed methods approach, combining secondary analysis of the Behavioral Risk Factor Surveillance System (BRFSS) data, survey research, and focus groups.
Data Brief
February 2025
Symbiosis Institute of Business Management, Symbiosis International (Deemed University), Bengaluru 560100, India.
The CoWIN Twitter Dataset offers a wide-ranging collection of public opinions on India's COVID-19 vaccination platform CoWIN. The raw dataset has 635,000 tweets that mention "cowin," collected over the period of January to December 2021. The dataset was extracted by employing the Twitter Academic API.
View Article and Find Full Text PDFNiger Med J
January 2025
Department of Medical Laboratory Services, Federal Medical Center, Yenagoa, Bayelsa State, Nigeria.
Cholera remains a significant public health challenge in Nigeria, with recurrent outbreaks exacerbated by inadequate water, sanitation, and hygiene (WASH) infrastructure, as well as conflict and displacement. This review examines cholera outbreaks in Nigeria from 2010 to 2024, analyzing epidemiological trends, contributing factors, and public health responses. Seasonal peaks during periods of heavy rainfall and flooding have consistently facilitated transmission, with Northern regions disproportionately affected due to poor infrastructure and ongoing conflicts.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!