Collections / Distinct IL‑17A and retinoic acid–associated gene programs are enriched in epithelialized tunnels in severe hidradenitis suppurativa.

Distinct IL‑17A and retinoic acid–associated gene programs are enriched in epithelialized tunnels in severe hidradenitis suppurativa.

Hidradenitis suppurativa (HS) is a chronic inflammatory skin disease in which severe disease is characterized by epithelialized dermal tunnels that are poorly responsive to medical therapy. We used spatial transcriptomics to show that severe HS tunnel epithelium have a conserved transcriptional program different from that of the overlying epidermis. Pathway and differential gene intersection analyses demonstrated that IL-17A signaling is the dominant cytokine-associated driver of tunnel inflammation, whereas TNFa signaling showed minimal overlap with the tunnel signature. Unexpectedly, transcription factor enrichment and gene set enrichment analyses identified dysregulated retinoic acid (RA)-associated signaling in tunnels. Functional studies in primary keratinocytes revealed that IL-17A upregulated a subset of RA-associated tunnel genes through a mechanism independent of retinoic acid receptor (RAR) signaling. Another distinct subset of tunnel-associated genes, including mucosal keratins such as KRT13, was not induced by IL-17A but instead required RAR signaling for their expression. Together, these findings define HS tunnels as a spatially distinct epithelial state shaped by IL 17A–associated inflammation and altered retinoid signaling, highlighting potential targets for tunnel directed intervention in HS.

Datasets5
Size~221 MB
AssayVisium
Samplehuman · skin of body
KindOther
www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE346090 ↗
Python · lamindb
import lamindb as ln
import spatialdata as sd

coll = ln.Collection.get(key="geo-gse346090")
coll.ordered_artifacts.df()                 # the 5 members, ordered

# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]

# …or load each straight into memory as a SpatialData object:
sdatas = {a.key: sd.read_zarr(a.cache()) for a in coll.ordered_artifacts.all()}
Open in Vitessce
Visium
Human skin of body
GSM10024482
human skin of body hidradenitis suppurativa 25 MB 4,992 obs silver H&E
TechnologyVisium
Organismhuman
Tissueskin of body
Conditionhidradenitis suppurativa
Size25 MB
Obs4,992
silver H&E Open in Vitessce
Open in Vitessce
Visium
Human skin of body
GSM10024481
human skin of body hidradenitis suppurativa 19 MB 4,992 obs silver H&E
TechnologyVisium
Organismhuman
Tissueskin of body
Conditionhidradenitis suppurativa
Size19 MB
Obs4,992
Magnificationother · 3.997 µm/px
silver H&E Open in Vitessce
Open in Vitessce
Visium
Human skin of body
GSM10024484
human skin of body hidradenitis suppurativa 118 MB 14,335 obs silver H&E
TechnologyVisium
Organismhuman
Tissueskin of body
Conditionhidradenitis suppurativa
Size118 MB
Obs14,335
silver H&E Open in Vitessce
Open in Vitessce
Visium
Human skin of body
GSM10024483
human skin of body hidradenitis suppurativa 28 MB 4,992 obs silver H&E
TechnologyVisium
Organismhuman
Tissueskin of body
Conditionhidradenitis suppurativa
Size28 MB
Obs4,992
silver H&E Open in Vitessce
Open in Vitessce
Visium
Human skin of body
GSM10024480
human skin of body hidradenitis suppurativa 31 MB 4,992 obs silver H&E
TechnologyVisium
Organismhuman
Tissueskin of body
Conditionhidradenitis suppurativa
Size31 MB
Obs4,992
silver H&E Open in Vitessce

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