Omics · study · 2026
Polycatechol-based iron predators disrupt fungal iron homeostasis to drive selective antifungal action
Listed in NCBI GEO
Fungal infections pose a growing global health challenge, exacerbated by a scarcity of effective treatments and rising drug resistance.
Description
Although cationic polymers emerge as promising antifungal candidates owing to structural tunability, design flexibility, and resistance to proteolytic degradation, their clinical utility has been hampered by non-selective membrane-disruption mechanisms. Herein, we develop a class of polycatechols- termed fungal iron predators (FIPs), exhibit exceptional fungicidal activity and markedly low cytotoxicity.
These FIPs can efficiently infiltrate fungal cells, selectively sequester labile irons, and disrupt iron homeostasis and metabolism. The ensuing iron starvation provokes severe mitochondrial dysfunction and energy collapse, culminating in fungal cell death. Through systemic optimization of cationic density and catechol stoichiometry, we obtained an FIP variant demonstrating potent antifungal activity with high selectivity toward fungi over mammalian cells, minimal propensity to induce resistance, and supplementary antioxidant properties.
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Remarkably, this FIP candidate shows robust therapeutic performance across multiple in vivo models of fungal infection. Critically, this work established a groundbreaking paradigm in polymer design: shifting the antifungal mechanism from traditional non-specific membrane disruption to targeted intracellular metabolic interference. The general applicability of this strategy across diverse cationic polymer backbones opens avenues for developing next generation of precision antifungal agents.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE327nnn/GSE327028 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE327028 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1449346 ncbi.nlm.nih.gov/bioproject/PRJNA1449346 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE327028 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |