Omics · study · 2026
Microbial Ecological Instability And Non-Linear Host Interactions Shape Airway Inflammation In HIV-Associated COPD [RNA-seq]
Listed in NCBI GEO
Chronic Obstructive Pulmonary Disease (COPD) is increasingly prevalent among people infected with human immunodeficiency virus (HIV) in sub-Saharan Africa, yet the ecological and immunological mechanisms linking airway microbes to mucosal inflammation remain unclear.
Description
We performed multi-omics profiling in adults from rural Uganda stratified by their HIV and COPD status, integrating sputum microbiome sequencing, outer membrane vesicle quantification, cytokine profiling, cytometry by time-of flight immunophenotyping, and bulk and single-cell transcriptomics with bronchoalveolar lavage-guided deconvolution.
Temporal ecological dynamics predominantly shaped airway microbial structure, although disease-modified instability patterns, particularly Haemophilus enrichment and altered trajectories of Staphylococcus, Gemella, and Moraxella, were detectable in HIV+/COPD+ individuals. In contrast, host immune phenotypes showed disease-linked remodeling: HIV and COPD were associated with activation of NF-κB, IL-17, chemokine, TLR, NOD, and antiviral pathways and with compartment-specific transcriptional shifts across sputum, bronchoalveolar lavage, and blood.
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Integrative modeling revealed discrete, non-linear microbe-immune interaction modules rather than broad dysbiosis, indicating that specific taxa engage defined inflammatory circuits. Together, these findings suggest that HIV-associated COPD reflects immune-skewed mucosal remodeling in which the airway microbiome functions as a selective, temporally dynamic modulator of inflammatory states rather than a globally disrupted community.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE326nnn/GSE326058 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE326058 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1443249 ncbi.nlm.nih.gov/bioproject/PRJNA1443249 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Disease 75% · RNA sequencing 65% · Sequencing 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE326058 | 13 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:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:sequencing | 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 |