Finite element analysis and optimization of microneedle arrays for transdermal vaccine delivery: comparison of coated and dissolving microneedles.

Microneedle arrays have recently been proposed as an alternative device for delivering vaccines into the skin. In recent years, many types of microneedles, such as coated and dissolving microneedles, have been developed with a variety of array configurations. However, the study that alongside compares the vaccine delivery efficiency of different types of microneedles and optimizes their arrangements on an array has been lacking. This study aimed to evaluate the vaccine delivery efficiency of coated and dissolving microneedles as well as to optimize the microneedle arrangements by using a three-dimensional finite element modeling approach. The constructed models describe the antigen release via diffusion, the antigen-receptor binding, and the antigen internalization by antigen-presenting cells (APCs) in the skin layers. Our modeling result reveals that the coated microneedle provides higher efficiency in activating APCs than the dissolving microneedle. It also predicts that the square arrangement of microneedles is not the optimal arrangement. According to the magnitude of APC activation, the acute-angle arrangement of microneedles outperforms the square arrangement by activating more APCs in the dermis.

Competitive evolution of H1N1 and H3N2 influenza viruses in the United States: A mathematical modeling study.

Seasonal influenza causes vast public health and economic impact globally. The prevention and control of the annual epidemics remain a challenge due to the antigenic evolution of the viruses. Here, we presented a novel modeling framework based on changes in amino acid sequences and relevant epidemiological data to retrospectively investigate the competitive evolution and transmission of H1N1 and H3N2 influenza viruses in the United States during October 2002 and April 2019. To do so, we estimated the time-varying disease transmission rate from the reported influenza cases and the time-varying antigenic change rate of the viruses from the changes in amino acid sequences. By incorporating the time-varying antigenic change rate into the transmission models, we found that the models could capture the evolutionary transmission dynamics of influenza viruses in the United States. Our modeling results also showed that the antigenic change of the virus plays an essential role in seasonal influenza dynamics.