Early diagnosis of cystinosis is critical to limit disease progression. YKL-40, a protein in the chitinase family, released by inflammatory cells, may be a useful biomarker for cystinosis. In a case-control study of 10 children with cystinosis and 20 without cystinosis, matched by age and baseline eGFR, we measured urine YKL-40, NGAL, and EGF. A lateral flow device (LFD) for YKL-40 was also developed and tested. Urine YKL-40 was over 200-fold higher in children with cystinosis (64.6 ng/mL [IQR: 23.4, 83.8]) compared with controls (0.3 [IQR: 0.3, 0.79]; P = 0.0001) with excellent diagnostic discrimination (AUC = 0.99) that was superior to other biomarkers. LFD measurements for YKL-40 showed similar results (AUC = 0.93). YKL-40 results were verified in 5 cystinosis patients, and YKL-40 staining was markedly higher in kidney biopsies from cystinosis patients than in healthy controls. Urine YKL-40 has excellent diagnostic potential for cystinosis, and point-of-care technologies may facilitate early screening and management of this disease.
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.
