Excel · study · 2026
Endometriosis Pain: Genes linked to Inflammation Distinguish Symptomatic from Asymptomatic Disease
Listed in NCBI GEO
Endometriosis is a multifaceted disease, causing debilitating pelvic pain in some patients, while being completely asymptomatic in others.
Description
The pathophysiology of endometriosis pain is not well understood and poorly correlated to stage. We hypothesized that this clinical heterogeneity may be explained by examining differences in gene expression.
We performed RNA sequencing of 27 formalin-fixed, paraffin-embedded peritoneal biopsies from 9 symptomatic (Sx) and 10 asymptomatic (ASx) subjects. 890 genes were differentially expressed between Sx and ASx samples. Of these, the most significant including genes involved inflammatory signaling (IL16, IL17RA, JAK3, SMPD3, RELT), cell adhesion (OLFML1, CDON, VCAN), and neuromodulation (SEMA6D, ADRA2C, SLC7A5). Gene Set Enrichment Analysis identified functional enrichment in 22 gene ontology (GO) pathways, of which 7 represented immunologic pathways.
Read the rest (1 more)
Weighted Gene Correlation Network Analysis (WGCNA) identified 11 co-expression modules significantly correlated with symptomaticity, including one module strongly enriched for immunologic/inflammatory functions. Of all molecules identified as associated with pain, IL16 expression also correlated with symptom severity when cases were stratified into mild vs. severe pain based on clinical criteria. These findings suggest that endometriotic lesions of symptomatic subjects are characterized by distinct molecular signatures, including altered expression of inflammatory pathways, highlighting potential mechanisms underlying symptom variability and identifying candidate pathways for future therapeutic interventions.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE339nnn/GSE339400 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE339400 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1498600 ncbi.nlm.nih.gov/bioproject/PRJNA1498600 ↗
project · from NCBI GEO
- PubMed 42720599 pubmed.ncbi.nlm.nih.gov/42720599 ↗
publication · 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 75% · Sequencing 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE339400 | 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: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[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 |