A Carfentanil-Targeted Vaccine Adjuvanted with a Covalent TLR7/8 Agonist and a T-Helper Epitope Confers Protective Immunity against Carfentanil-Induced Effects
Sep 2026· Journal of Medicinal Chemistry· 0 citations· 49 references
Neuropeptides and Animal Physiology
Abstract
Carfentanil, an ultrapotent synthetic opioid, poses a severe public health threat because of its rapid brain penetration and potent activation of μ-opioid receptors. Conventional anti-drug vaccines are limited by the poor hapten immunogenicity and dominant anti-carrier immunity. Here, we report a molecularly encoded synthetic carfentanil vaccine (MECVPLA−PEI) integrating a carfentanil hapten, TLR7/8 agonist, and T-helper epitope within a polymeric scaffold to coordinate B and T cell activation. MECVPLA−PEI exhibited markedly enhanced lymph node targeting, with 21.2-fold higher accumulation at 24 h and retention over 7 days, leading to a 1.5-fold increase in plasma cell differentiation and enhanced dendritic cell activation. Compared with an OVA-carrier protein-based vaccine, MECVPLA−PEI induced 22-fold higher antibody titers with a very low level of anti-carrier antibodies and attenuated carfentanil-induced antinociceptive and reward-related behaviors. Importantly, MECVPLA−PEI exhibited a favorable safety profile. This work establishes a precise synthetic vaccine strategy for anti-carfentanil therapy.
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.
D. Graziotin, Xiaofeng Wang, P. Abrahamsson· SSE@SIGSOFT FSE· 56 citations· ⚡4
This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.
Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 44 citations· ⚡5
It is demonstrated that linker-free PROTACs can outperform traditional designs, marking a paradigm shift in PROTAC development for targeted protein degradation.
Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.