Aging is associated with a decline in blood-brain barrier (BBB) integrity. Interestingly, recent reports suggest that females may be more resistant to BBB disruption than males. Using a robust model of hypoxia-induced BBB disruption, we exposed aged (20 months) male and female mice to chronic mild hypoxia (CMH; 8% O 2 ) for 4 days before evaluating BBB disruption and endothelial proliferation by immunofluorescent (IF) analysis. Bulk RNA-seq analysis was used to identify differentially expressed genes between male and female brains. Function-blocking antibody studies then evaluated the role of an identified candidate protein, CD11c. Compared with aged male mice, females show reduced levels of hypoxia-induced BBB disruption and endothelial proliferation. Bulk RNA-seq identified Itgax , which encodes the adhesion protein CD11c as the only gene showing a greater than 2-fold difference (higher in female) between the sexes. IF analysis of brain tissue revealed that CD11c is expressed predominantly by microglia and confirmed its higher expression in females. In the hypoxic brain, CD11c + microglia co-localized with vascular disruptions. Functional blockade of CD11c in females resulted in elevated BBB disruption and endothelial proliferation that was associated with enhanced microglial and vascular activation, culminating in reduced density of mature oligodendrocytes. Our data provide further evidence that the female brain is better equipped to withstand BBB disruption and suggest that the microglial receptor CD11c may play a protective role in maintaining BBB integrity.
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 sequence constraints.
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.