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Omics · study · 2026

Immune-skewed stromal–immune axis defined by antigen-presenting-like adipose stromal cells in lymphedema

Listed in NCBI GEO

Description

Background

Lymphedema, a chronic and progressive disease, is characterized by lymphatic dysfunction, persistent inflammation, fibrosis, and pathological adipose tissue remodeling. Although adipose-derived stromal cells (ASCs) are implicated in disease progression, the stromal cell states and stromal–immune interactions that sustain chronic fibro-inflammatory remodeling remain poorly defined.

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Methods

Single-cell RNA sequencing was performed of the stromal vascular fraction isolated from anatomically matched human subcutaneous adipose tissues. These tissues were obtained from patients with advanced-stage lymphedema and healthy individuals to delineate disease-associated stromal heterogeneity at single-cell resolution. Results A disease-expanded ASC progenitor population (ASC_c2) that exhibits pronounced transcriptional reprogramming in lymphedema was identified.

The ASC_c2 population segregated into two mutually exclusive pathological subsets: a VCAM1⁺ vascular-interacting stromal population (V-ASCs) associated with ECM remodeling and CD74⁺HLA class II–expressing subset (I-ASCs) with antigen-presentation-like features. I-ASCs displayed a robust interferon-responsive transcriptional program consistent with immune priming and preferentially expressed the CXCL14 chemokine. Ligand–receptor interaction analysis revealed biased stromal–immune interactions between I-ASCs and CD8⁺ T cells, suggesting a skewed immune microenvironment in lymphedematous adipose tissue.

Conclusions Our findings suggest an immune-skewed stromal–immune axis in lymphedema, driven by immune-primed, antigen-presentation-like ASCs. The study findings suggest a cellular framework linking stromal reprogramming to chronic immune dysregulation and fibrosis in human lymphedema, offering insights into potential therapeutic targets for interrupting pathological stromal–immune crosstalk.

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From keywords
Life Sciences
Inferred from text
Disease 75% · RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE32796115 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:diseaseenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:single-cell-rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title