Sep 2026· Frontiers in Veterinary Science· 0 citations· 37 references
Animal Nutrition and Physiology
Abstract
Soft-shelled eggs are a major eggshell defect in poultry production, yet the underlying mechanisms of their formation remain unclear. The objective of this study was to characterize biological changes associated with soft-shelled egg formation in laying hens by integrating quantitative proteomics and untargeted metabolomics analyses of uterine fluid (UF), combined with morphological and physiological assessments.
Normal-shelled egg-producing hens (NE) and soft-shelled or shell-less egg-producing hens (SE) were selected from Langshan laying hens maintained under the same feeding and management conditions. Egg quality traits, serum biochemical indicators, duodenal and uterine morphology, TMT-based proteomics, and LC–MS-based untargeted metabolomics of UF were analyzed.
Compared with the NE group, the SE group exhibited significantly reduced eggshell thickness and disrupted eggshell ultrastructure (
p
< 0.05). No significant differences were detected in the measured serum calcium-related indicators or duodenal morphology between the two groups (
p
> 0.05). In contrast, the NE group showed significantly greater endometrial villus length, uterine mucosal fold height, and mucosal fold area than the SE group (
p
< 0.05). Proteomic and metabolomic analyses revealed changes in UF protein and metabolite profiles, and the differential proteins and metabolites were mainly enriched in pathways related to amino acid metabolism and mitochondrial energy metabolism, including aminoacyl-tRNA biosynthesis and L-cysteine-related metabolism.
Soft-shelled egg formation in laying hens was associated with compromised uterine morphology and changes in the UF metabolic microenvironment. These findings provide insight into uterine fluid protein and metabolite profiles related to eggshell defects and identify candidate pathways for future 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 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.