Acute pancreatitis (AP) is a painful and potentially life-threatening disorder, with no effective therapy available to date. Genome assessment shows promise as a potential method for predicting AP severity. We hypothesized that single nucleotide polymorphisms (SNPs) and expression changes in Heat Shock Protein 70 (HSP70) family genes may play a role in early prediction of AP severity.
Methods
A total of 44 AP patients and 47 age- and sex-matched healthy controls were studied. Leukocyte-extracted total RNA and genomic DNA were used for HSPA1A and HSPA1L gene expression and genotyping in promoter regions (HSPA1A: rs1008438 and HSPA1L: rs2227956) analyses, respectively.
Results
No statistically significant differences were found between the genotypes of AP patients and controls, however, HSPA1A expression was 2-fold lower in AP. Decrease in expression was more evident in mild and mild/moderate AP groups vs. controls (P=0.024 and P=0.008, respectively). HSPA1L expression in AG vs. AA carriers was higher in entire cohort (P=0.014) and markedly differed between AP patients (P=0.001). Also, HSPA1L expression was the highest in severe AG cases and significantly differed from AA genotype carriers (P=0.005).
Conclusions
We suggest that HSP70 family genes expression may be a valuable marker for predicting disease severity in AP.
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.