ReviewEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2026
Structural and functional insights into Pseudomonas aeruginosa's secretion systems 1-6: regulation, role in microbial keratitis and drug targets.
Review in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Role of cell-associated and secretion-independent virulence factors of Pseudomonas aeruginosa in microbial keratitis and anti-virulence therapeutic strategies.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPseudomonas aeruginosa is a versatile Gram-negative pathogen that thrives in diverse environments. This pathogen causes a range of infections, including microbial keratitis (MK), a sight-threatening corneal infection. Central to its virulence are six specialized protein secretion systems (Types 1-6) that span the complex cell envelope. One-step systems (Types 1, 3, 4, 6) directly translocate effectors across both of its cell membranes, while two-step systems (Types 2, 5) first export substrates into the periplasm via the Sec or Tat pathways before outer-membrane release. These molecular machines deliver toxins, enzymes and competitive effectors that facilitate tissue damage, immune evasion, nutrient acquisition, biofilm formation and interbacterial killing. Their expression and activity are often coordinated by quorum-sensing networks (Las, Rhl, Pqs, Iqs). Although various secretion systems and their effectors have been characterized, the specific contributions of each system to corneal infection have yet to be comprehensively reviewed. PURPOSES AND
methodsPubMed and Google Scholar were searched to synthesize current knowledge of the structure, regulation, and substrates of these secretion systems, to highlight their contributions to keratitis pathogenesis, and to evaluate emerging anti-virulence strategies targeting these pathways as novel therapeutics.
resultsThe T3SS system and its effectors ExoU and ExoS play dominant roles in keratitis severity while other secretion systems further enhance virulence by facilitating toxin release, biofilm development, and interbacterial competition. Regulatory interactions with quorum-sensing pathways amplify their impact during infection.
conclusionUnderstanding the functional roles of all six secretion pathways and their regulatory mechanisms will be critical for identifying and developing novel anti-virulence therapeutics for MK.
Indexed as
Identifiers
What 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.