ReviewMicrobiologyOpen2026
Fungal-Bacterial Interactions in Polymicrobial Infections: Hidden Threats.
Review in MicrobiologyOpen, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Polymicrobial infections involving fungi and bacteria represent a major and increasingly recognized clinical challenge, in which interkingdom interactions significantly amplify disease severity, antimicrobial resistance, and treatment failure. Rather than passive co-existence, fungal-bacterial communities form highly coordinated systems driven by physical adhesion, quorum sensing, metabolic interdependence, and biofilm-mediated structural reinforcement. These cooperative interactions, exemplified by pairs such as Candida albicans-Staphylococcus aureus and Pseudomonas aeruginosa-Aspergillus fumigatus, promote the development of treatment-recalcitrant biofilms with enhanced immune evasion and multidrug tolerance. The global rise of multidrug-resistant (MDR) and extensively drug-resistant (XDR) pathogens has further intensified this burden, with polymicrobial biofilms now representing a post-antibiotic clinical scenario in which therapeutic failure is driven not by individual resistant organisms but by emergent, cooperative resistance architectures. Conventional diagnostic approaches remain insufficient, as culture-based methods frequently fail to capture the complexity of mixed microbial communities. Emerging technologies such as MALDI-TOF mass spectrometry, metagenomic sequencing, and fluorescence in situ hybridization offer improved resolution but are not yet fully integrated into routine clinical practice. Therapeutically, increasing evidence indicates that monotherapy is inherently inadequate in polymicrobial infections due to the emergent nature of microbial cooperation. Effective management therefore requires combination strategies that simultaneously target multiple pathogens and their shared biofilm infrastructure. These include antibiotic-antifungal combinations, phage therapy, enzymatic and nanoparticle-mediated biofilm disruption, metabolic interference, and host-directed immunomodulation. Importantly, recent advances also highlight the role of biophysical properties such as biofilm viscoelasticity and matrix stiffness as critical and previously underappreciated therapeutic targets. This review uniquely integrates biochemical, biophysical, and therapeutic dimensions of polymicrobial infections into a unified systems-level framework in which microbial cooperation is the central driver of pathogenesis, resistance, and treatment failure. Fungal-bacterial interactions are thereby positioned along a dynamic continuum from commensalism to pathogenesis, shaped by host susceptibility and environmental perturbations. Future progress will depend on interdisciplinary strategies combining multi-omics technologies, precision diagnostics, and microbiome-informed therapeutic design to effectively disrupt these complex microbial networks.
Indexed as
Identifiers
What Socratic 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 Socratic graph.