Omics · study · 2026
Monocyte Subset Predicts Clinical Outcomes in Fibrotic Hypersensitivity Pneumonitis
Listed in NCBI GEO
This study aimed to identify circulating immune cell populations associated with disease severity and progression in fibrotic hypersensitivity pneumonitis (fHP).
Description
Using single-cell RNA sequencing of peripheral blood mononuclear cells from 33 fHP patients (NCT02958917) and 36 sex-matched healthy controls (GSE196735, pools 1-3), we identified significant shifts in immune cell composition. Compared to controls, fHP patients exhibited a marked increase in classical monocytes (CD14⁺), non-classical monocytes (CD16⁺), and myeloid-derived dendritic cells.
Classical monocytes, in particular, were strongly correlated with baseline lung fibrosis severity—quantified by data-driven texture analysis of high-resolution computed tomography—and with reduced progression-free survival. Pathway analysis revealed that monocytes from patients with severe disease were enriched for inflammatory and metabolic processes, whereas those from patients with poor outcomes showed upregulation of interferon and NF-κB signaling.
Read the rest (1 more)
These findings highlight peripheral monocytes as promising prognostic biomarkers in fHP and suggest their role in driving fibrotic progression through dysregulated immune responses.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE317nnn/GSE317902 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE317902 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1415781 ncbi.nlm.nih.gov/bioproject/PRJNA1415781 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Computed tomography 75% · Disease 75% · RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE317902 | 12 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 |
| concepts[modality].local:modality:ct | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |