Sepsis is a life-threatening syndrome caused by organ dysfunction resulting from a dysregulated host response to infection, characterized by early hyperinflammation and subsequent immune paralysis or immunosuppression. Macrophage dysregulation is a major driver of this immune imbalance. Tissue-resident macrophages mediate inflammatory injury and repair, while recruited monocytes share key post-translational modification (PTM) regulatory mechanisms with macrophages. Macrophage responses in sepsis span heterogeneous and dynamic functional states, with M1-like inflammatory and M2-like immunoregulatory programs representing only two reference poles within this broader spectrum. Macrophage tolerance, characterized by hyporesponsiveness to repeated pathogenic stimulation, further contributes to late-stage immunosuppression and cooperates with aberrant polarization to promote immune paralysis. PTMs are central regulators of macrophage function and polarization homeostasis. By modifying key signaling molecules, they regulate pathways such as NF-κB and MAPK, while metabolism-linked PTMs couple metabolic reprogramming to macrophage functional states. Crosstalk among multiple PTMs collectively shapes macrophage plasticity. During sepsis progression, disruption of the PTM-macrophage polarization axis contributes to excessive inflammation, organ injury, metabolic dysfunction, autophagy-apoptosis imbalance, and organ-specific immunosuppression. This review systematically examines the cooperative and antagonistic PTM networks governing macrophage polarization, with particular emphasis on PTM-metabolism crosstalk, macrophage tolerance, and tissue-resident macrophage heterogeneity. It further evaluates translational strategies ranging from small-molecule PTM modulators to gene editing and targeted delivery. Together, these insights establish an integrated framework for understanding sepsis immunopathology and support the development of PTM-tailored immunotherapeutic strategies.
Some claim that especially in the field of agile software development the research lags years behind of the practice. In this paper, we characterize the status and main challenges for research on agile software development, and propose a preliminary roadmap, focusing on providing more empirical research, primarily on e...
Torgeir Dingsøyr, T. Dybå, P. Abrahamsson· Agile Conference· 92 citations· ⚡7
The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· International Conference on...· 84 citations· ⚡6
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
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
Agile methods continue to gain popularity. In particular, the Scrum method appears to be on the verge of becoming a de-facto standard in the industry, leading the so called Agile movement. While there are success stories and recommendations, there is little scientifically valid evidence of the challenges in the adoptio...
A. Marchenko, P. Abrahamsson· Agile Conference· 59 citations· ⚡11
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.