Atopic dermatitis (AD) is a chronic inflammatory skin disease marked by barrier dysfunction and immune dysregulation. Although IgE has been extensively implicated in AD pathogenesis, the functional role of polyclonal IgG remains poorly defined. We investigated whether IgG from adults with AD modulates peripheral immune responses and whether it carries disease-associated serological targets. IgG purified from serum from adults with AD (n = 24), non-atopic controls (n = 20), and atopic individuals without AD (n = 20) was evaluated in peripheral blood mononuclear cell cultures, flow-cytometry assays, descriptive transcriptomic and small-RNA sequencing analyses, short-term membrane-binding experiments, and human proteome microarrays. In vitro exposure to pooled AD IgG was associated with subset-specific changes in CD4+ and CD8+ T-cell phenotype and cytokine frequencies. In CD4+ T cells, AD IgG reduced CD45RA and increased CD45RO, IFN-γ-, IL-10-, and IL-22-producing fractions; in CD8+ T cells, it reduced the IFN-γ-producing fraction. Descriptive analyses of one pooled RNA library per condition identified fold-change patterns involving immune and post-transcriptional pathways but did not support replicate-based differential-expression inference. AD IgG was detected on a small fraction of CD4+ and CD8+ T-cell membranes during a 30-min assay without a contemporaneous increase in Annexin V positivity. Proteome-array screening generated a heterogeneous list of candidate IgG-reactive proteins, many with low signal intensity; a higher-stringency cross-group comparison prioritized CRABP2 as a candidate seroreactivity requiring independent validation. A fixed pooled AD IgG preparation was associated with reproducible in vitro changes in T-cell phenotype and cytokine frequencies across healthy PBMC donors. The pooled omics and proteome-array findings are exploratory and nominate hypotheses and seroreactivities for validation; they do not establish population-level disease specificity, a membrane-binding mechanism, or diagnostic performance.
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.