Oct 2026· Philosophical transactions of the Royal Society of London. Series B, Biological sciences· Vol 381· 0 citations· 245 references
Medicine
Abstract
Abstract Disruption of protein homoeostasis, or proteostasis, is a hallmark of protein conformational diseases (PCDs), including Alzheimer's and Parkinson's disease. These disorders are characterized by progressive protein aggregation and cellular dysfunction, yet no effective therapies exist. Emerging evidence indicates that microbial communities influence host proteostasis, giving rise to the concept of the microbiota–proteostasis axis. Microbes and their products can modulate host proteins by engaging with host proteostasis. As such, microbial dysbiosis has been linked to proteostasis disruption through the production of metabolites, extracellular vesicles, functional amyloids, and toxins or effector proteins capable of seeding or destabilizing host proteins associated with PCDs. These microbial factors have been shown in experimental models to converge on key proteostasis pathways, including protein synthesis, folding and clearance, thereby potentially reducing cellular buffering capacity and lowering the threshold for proteotoxic collapse. In parallel, microbiota-driven influence on inflammatory responses and immune signalling further amplifies systemic proteostasis disruption. In this review, we synthesize emerging evidence defining the microbiota–proteostasis axis and highlight how microbial factors influence host proteostasis. Importantly, these host–microbe interactions often precede neurodegeneration, suggesting potential for early detection and intervention. Together, these insights support targeting the microbiota as a potential strategy to enhance proteostasis and delay or prevent neurodegenerative disease. This article is part of the Theo Murphy meeting issue ‘ProteostaSys: a systems view of proteostasis’.
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.