Brown and white adipocyte like cells derived exosomes differentially regulate stemness, hormone secretion, apoptosis, and lipid metabolism in model cells
White and brown adipocytes show therapeutic potential, yet their exosomes mediated cell-specific effects remain poorly understood. This study aimed to assess the impact of conditioned media (CM) or exosomes derived from brown and white adipocyte-like cells (BALCs and WALCs, respectively) on four human cell types, including ovarian granulosa cells (OGCs), MCF-7 breast cancer cells, human adipose-derived stem cells (hADSCs), and human umbilical cord mesenchymal stem cells (hUCMSCs). Isolated hADSCs were differentiated into BALCs and WALCs using specific induction media. Corresponding exosomes were isolated from BALCs or WALCs derived CM and characterized. Human cell types—representing stem, somatic, and cancer cells—were treated with CM or exosomes. Cellular responses and lipidomic profiling were evaluated using molecular biology techniques and mass spectrometry, respectively. BALCs-derived exosomes significantly increased estradiol secretion from ovarian granulosa cells (p < 0.05). In MCF-7 cells, CM had a stronger pro-apoptotic effect than exosomes (>2-fold). In hADSCs, both CM and exosomes promoted osteogenic differentiation (2.3-fold) and reduced stemness markers proteins Oct4 and Sox2 (p < 0.05). When treated with BALCs-derived exosomes, hADSCs displayed the highest number of differentially expressed lipids, primarily upregulated hits. Pathway analysis indicated that BALCs-derived exosomes promoted lipid storage and membrane remodeling in hADSCs, enhanced energy metabolism in granulosa cells, reduced fatty acid oxidation in MCF-7 cells, and decreased lipid storage in hUCMSCs. Our results highlight a potential modulatory role of adipocyte-derived exosomes in intercellular communication. The findings of this study may be applicable in regenerative medicine, metabolic regulation and cancer therapeutic approaches.
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.