Sep 2026· Frontiers in Immunology· 0 citations· 27 references
Inflammatory Bowel Disease
Abstract
Ulcerative colitis (UC) is a chronic mucosal immune disorder in which 30-50% of patients fail biologic therapy, yet the full-thickness immune architecture of medically refractory disease and reliable tissue-level markers of treatment response remain undefined.
Using 10x Visium HD spatial transcriptomics (16-µm bins; 615,274 bins), we generated a full-thickness spatial atlas of surgically resected colon from patients with medically refractory UC (n=3) and controls (n=3), integrating niche-stratified differential expression, spatial cell–cell communication, SCENIC regulon inference and single-sample GSEA with immunofluorescence and DSS-colitis flow cytometry.
We resolved 18 spatial immune–stromal niches across five tissue modules. At the mucosal frontline, epithelial barrier collapse was accompanied by a 20-fold expansion of ulcer-bed stroma (p=0.030) that co-localised with an Acute Neutrophil Niche and was associated with neutrophil recruitment via CXCL12–CXCR4 signalling, forming a spatially integrated ulcerogenic unit. In the submucosa, a humoral immune programme was associated with tertiary lymphoid structures (TLS) and plasma-cell survival-related signalling (MIF–CD74 and LTB–CD40). This niche architecture was immunologically informative: an Acute Neutrophil Niche signature was enriched in biologic non-responders across six adult cohorts (AUC 0.67–0.99) and in non-remission patients of the paediatric PROTECT cohort, and a five-niche model showed discriminative performance in adult cohorts across independent datasets and drug classes (anti-TNF and anti-integrin; cross-cohort AUC 0.68–0.97), although this performance did not transfer to the paediatric cohort (AUC ≈ 0.51–0.62). Expansion of TNFAIP2+ TLS-resident B cells was confirmed at the protein level in a DSS colitis mouse model by immunofluorescence and flow cytometry (p=0.0079).
Together, this full-thickness atlas defines the spatial immune ecosystem of refractory UC – neutrophil niches, TLS and plasma-cell survival programmes – and yields cellular-niche signatures reproducibly associated with treatment outcome across drug classes, providing an immunologically grounded framework that may inform biologic selection, pending prospective validation.
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.