Omics · study · 2026
IL-17 Signaling Mediates Inflammation-Induced Capillary Leakage in addition to TNFa
Listed in NCBI GEO
Capillary leak is a hallmark of acute and chronic inflammatory conditions and represents a critical driver of organ dysfunction and poor clinical outcomes.
Description
Despite its clinical relevance, the mechanisms governing endothelial destabilization under inflammatory conditions remain incompletely understood. In this study, we investigated the endothelial response to inflammation using a dynamic human in vitro model, in which human umbilical vein endothelial cells (HUVECs) were cultured in the presence of lipopolysaccharide (LPS)–stimulated human peripheral blood mononuclear cells (PBMCs) to mimic systemic inflammation.
Under these conditions, endothelial cells exhibited a pronounced inflammatory response characterized by loss of barrier integrity and the formation of capillary leak–like structures. Separated transcriptomic pathway analyses of HUVECs and PBMCs identified a strong activation of cytokine-driven signalling networks, with the IL-17 pathway emerging as a dominant regulator of endothelial dysfunction, alongside TNF and JAK–STAT signalling.
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Targeted pharmacological inhibition demonstrated that blockage of IL-17 signalling most effectively stabilized the endothelial layer and mitigated leak-like morphology compared to inhibition of other pathways. However, endothelial barrier function was only partially restored, indicating persistent dysfunction despite IL-17 pathway suppression. Together, these findings position IL-17 as a key driver of inflammation-induced capillary leak while highlighting the multifactorial nature of endothelial destabilization.
This work underscores the necessity of addressing complex immune–endothelial interactions to develop effective strategies for preventing inflammation-induced vascular leakage.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE326nnn/GSE326579 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE326579 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1445956 ncbi.nlm.nih.gov/bioproject/PRJNA1445956 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE326579 | 13 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[organism].NCBITaxon:9606 | 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 |