Excel · study · 2026
The microbiome protects against septic hyperinflammation and bacterial proliferation in a zebrafish model of blood infection with E.coli and mycobacteria
Listed in NCBI GEO
The microbiome is an important immune regulator, but the mechanisms by which commensal microbes shape systemic host defense during bloodstream infection remain poorly defined and commonly used pre-clinical models have practical, ethical and scientific limitations.
Description
Here, we establish a gnotobiotic zebrafish larval model to investigate microbiome-dependent protection against systemic blood infection by E. coli bacteria, an important cause of early onset neonatal sepsis and nontuberculous mycobacteria to investigate the contribution of Toll-like receptor 2 (TLR2) in the defense responses.
Germ-free (GF) and conventionalized (CONVD) larvae derived from the same clutches were systemically infected with E. coli, revealing that microbiome colonization significantly reduces early mortality. RNA-seq revealed a conserved core immune activation program in both GF and CONVD larvae, but the absence of a microbiome was associated with a broader transcriptional response and stronger repression of metabolic pathways, suggesting that commensal microbes buffer infection-induced metabolic suppression.
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Extending this framework to nontuberculous mycobacteria, we performed systemic infections with fluorescent Mycobacterium marinum and M. avium in tlr2 wild-type and mutant larvae under GF and CONVD conditions. While survival was largely unchanged, imaging-based quantification demonstrated increased bacterial proliferation in tlr2 mutants and in GF larvae, with microbiome-mediated restriction of bacterial burden evident in wild-type but not tlr2-deficient hosts.
Together, these data show that microbiome colonization buffers septic outcomes by reshaping systemic inflammatory and metabolic programs, and identify TLR2 as a key node linking microbial colonization to effective host defense during nontuberculous mycobacterial infection
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE325nnn/GSE325739 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE325739 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1441546 ncbi.nlm.nih.gov/bioproject/PRJNA1441546 ↗
project · from NCBI GEO
- PubMed 42465747 pubmed.ncbi.nlm.nih.gov/42465747 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Danio rerio · Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- RNA sequencing 65%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE325739 | 12 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 |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[organism].NCBITaxon:7955 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| 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 |