ReviewCurrent microbiology2025
Harnessing Cyclic di-GMP Signaling: A Strategic Approach to Combat Bacterial Biofilm-Associated Chronic Infections.
Review in Current microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Biofilm-mediated antibiotic tolerance in bacterial pathogens: Integrated molecular networks and novel therapeutic avenues.Virulence · 2026Review
- Multitarget Antibacterial Activity of Novel Aryl-Urea Derivatives Against Vancomycin- and Carbapenem-Resistant Nosocomial Pathogens.Current microbiology · 2026Article
- The Antibacterial Mechanism of Baicalin and Its Solubilization Strategy.Molecules (Basel, Switzerland) · 2026Review
- The Scalp Microbiome-Hair Axis: Mechanisms and Therapeutic Translation.Research (Washington, D.C.) · 2026Review
- Biofilm Formation, c-di-GMP Production, and Antimicrobial Resistance in Staphylococcal Strains Isolated from Prosthetic Joint Infections: A Pilot Study in Total Hip and Knee Arthroplasty Patients.International journal of molecular sciences · 2025Article
- Novel Tricyclic Compounds for Treating Bacterial Infections.ACS medicinal chemistry letters · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cyclic dimeric guanosine monophosphate (c-di-GMP) plays a vital role within the nucleotide signaling network of bacteria, participating in various biological processes such as biofilm formation and toxin production, among others. Substantial evidence demonstrates its critical involvement in the progression of chronic infections. Treating chronic infections seems critical, and there is a worldwide quest for drugs that target pathogens' unique and complex virulence-associated signaling networks. c-di-GMP is a promising therapeutic target by serving as a distinct virulence factor, solving problems associated with drug resistance, biofilm dispersion, and its related septicemia complications. c-di-GMP levels act as checkpoints for several biofilm-associated molecular pathways, viz., Gac/Rsm, BrlR, and SagS signaling systems. C-di-GMP is also engaged in the Wsp chemosensory pathway responsible for rugose small colony variants observed in cystic fibrosis-related lung infections. Considering all factors, c-di-GMP serves as a pivotal hub in the intricate cascade of biofilm regulation. By overseeing QS systems, exopolysaccharide synthesis, and antibiotic resistance pathways in chronic infections, it emerges as a linchpin for effective drug development strategies against biofilm-related ailments. This underscores the significance of understanding the multifaceted signaling networks. c-di-GMP's role is highlighted in this review as a concealed virulence component in various bacterial pathogens, suggesting that medications targeting it could hold promise in treating chronic disorders associated with biofilms.
Indexed as
Identifiers
39909925What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.