Sep 2026· Frontiers in Microbiology· 0 citations· 105 references
Oral microbiology and periodontitis research
Abstract
Oral biofilms are polymicrobial ecosystems where quorum sensing (QS) governs community assembly, virulence and homeostasis. This narrative review synthesizes evidence on QS pathways in key periodontal and cariogenic pathogens, emphasizing interspecies synergy, cross-kingdom interactions, and disease progression. We surveyed English-language publications up to 2026 across PubMed, Web of Science, and Scopus. Our analysis reveals three major QS circuits: the widely conserved LuxS/AI-2 system facilitating cooperative and competitive behaviors, such as
Fusobacterium nucleatum
-red complex coaggregation and
Veillonella
-mediated inhibition; Gram-positive oligopeptide systems (e.g., CSP (competence-stimulating peptide) /ComDE in
Streptococcus mutans
) governing competence and bacteriocin production; and the specialized acyl-homoserine lactone (AHL/AI-1) system in Gram-negative species, which fine-tunes biofilm maturation, heme acquisition, and interkingdom signaling. Beyond these canonical pathways, recent evidence has revised key assumptions: AI-2 production in
Fusobacterium nucleatum
is subspecies-specific and uncoupled from QS, while LuxS in
Porphyromonas gingivalis
exerts AI-2-independent effects on host immune modulation. These findings suggest that QS-inhibitor strategies must account for subspecies-level heterogeneity and distinguish signaling effects to inform targeted design. Pathogenically, QS drives alveolar bone resorption, macrophage-mediated inflammation, and metabolic crosstalk. Therapeutically, diverse QS-inhibitors including natural polyphenols, synthetic small molecules, and AHL-lactonases have indicated promising antibiofilm efficacy
in vitro
and in animal models. However, clinical translation remains hampered by poor oral retention, safety uncertainties, and a lack of standardized endpoints. We conclude that QS represents a potential druggable vulnerability in oral biofilms, but future efforts must prioritize high-specificity inhibitors, combination regimens with conventional antibiotics, and rigorous
in vivo
validation to bridge the translational gap.
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al.· IEEE Transactions on Softwar...· 178 citations· ⚡14
Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.
M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al.· e-Informatica Software Engin...· 157 citations· ⚡17
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
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
The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new angle and explores waste in the Kanban-driven software development project context. A preliminary research model is presented for helping the consequent replication of the study. The results from the empirical analysis suggest Kanban can be an effective method in visualizing and organizing the current work, but does not prevent waste from creeping in, although the overall project outcome may be successful.
Marko Ikonen, Petri Kettunen, Nilay V. Oza et al.· EUROMICRO Conference on Soft...· 67 citations· ⚡9
Related blog posts
MIT News · Artificial Intelligence· news.mit.eduSep 14, 2026
The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.
AI may appear weightless, but every model depends on physical infrastructure. To understand responsible AI, we need to look beyond algorithms and consider the entire lifecycle of the hardware behind them. The post Responsible AI Must Consider Its Afterlife appeared first on GPT-Lab.