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Congratulations to Yang (Claire) Zeng and her team for their work on DoriVac, a DNA origami vaccine which utilizes precisely spaced CpG oligonucleotides to enhance immunological responses against chosen antigens.


The spacing of ligands presented to cells can have a huge impact on cellular responses. DNA origami is used to block structures to control the distribution of Toll-like receptor ligands and optimize presentation in the activation of dendritic cells in cancer immunotherapy.

“In adults with diabetes alone—where poor blood flow can lead to quickly worsening wounds that are often very slow or impossible to heal—the lifetime risk of developing a diabetic foot ulcer (DFU), the most common diabetes-related wound, is 20–35 percent and this number is rising with increased longevity and medical complexity of people with diabetes,” stated lead author, Yen-Zhen Lu, PhD, an investigator at ARMI.

Nociceptors— neurons that sense pain, tissue damage, and inflammation, among other functions— respond to wounds by producing a neuropeptide called calcitonin gene-related peptide (CGRP). “Nociceptor endings grow into injured skin and muscle tissues and signal to immune cells through the neuropeptide CGRP during the healing process,” the authors wrote. Immune cell response in neutrophils, monocytes, and macrophages are modified to encourage active repair in the region.

Individuals with diseases like diabetes or elderly people have reduced production of CGRP, leading to poor, inefficient, or incomplete wound healing. The new study explores the impact of CGRP alone by introducing it into diabetic mice as well as mice without nociceptors. “Delivery of an engineered version of CGRP accelerated wound healing and promoted muscle regeneration,” the authors wrote. “Remarkably, this neuropeptide acts on immune cells to control them, facilitating tissue healing after injury,” added co-author Mikaël Martino, PhD, associate professor, ARMI.

French software start-up Spare Parts 3D (SP3D) has launched the beta program of Théia, its new digital tool that can automatically create 3D models from 2D technical drawings.

As global geopolitical and economic factors pose challenges to supply chains, more companies are looking to digitize their inventories, allowing spare parts to be 3D printed locally and on demand. This digitization process, however, can be time-consuming and costly.

Integrating into the company’s AI-driven DigiPart software, SP3D’s new offering leverages deep learning technology to convert existing 2D drawings of spare parts into 3D printable models, reducing conversion times from days to minutes.