Omics · study · 2026
A late-stage multi-dimensional intervention rescues lethal viral pneumonia in an aged hamster model
Listed in NCBI GEO
Physiological aging fundamentally drives poor disease outcomes in respiratory viral infections, necessitating investigation of the underlying mechanisms and the development of effective countermeasures.
Description
Pulmonary transcriptomic profiling reveals that diffuse cell death, inadequate antiviral responses, myeloid-driven excessive inflammation and immune-thrombosis dictate the pulmonary microenvironment are typical molecular pathology characteristics of the SARS-CoV-2-infected aged hamsters rather than the adult controls.
To reverse the progression of lethal severe pneumonia in the aged hamsters, we initiate a multidimensional combination therapy of dexamethasone, heparin and the broad-spectrum viral decoy CoVR-MV at three days after infection. Although single- and dual-drug therapies were insufficient to achieve functional cure, the three-drug combined therapy resulted in a potent reduction of high mortality, body weight loss, viral load, lung pathology and cytokine storms through the synergism of immunoregulatory, anticoagulant and antiviral effects, effectively intercepting the multifaceted pathogenic network.
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This study highlights physiological aging as a core driver of critical COVID-19 pathogenesis and provides valuable clues for the rational design of multi-drug and multi-target therapies against respiratory viral infections and lethal severe pneumonia in the elderly population.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE337nnn/GSE337637 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE337637 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1490520 ncbi.nlm.nih.gov/bioproject/PRJNA1490520 ↗
project · from NCBI GEO
- PubMed 42684552 pubmed.ncbi.nlm.nih.gov/42684552 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Disease 75%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE337637 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |