Omics · study · 2026
CD38⁺ endothelial remodeling marks spatially patterned vasculopathy in rapidly advancing periodontitis and peri-implantitis
Listed in NCBI GEO
Oral inflammatory diseases affect nearly half of all humans, yet mechanisms underlying rapidly-destructive inflammation remain poorly understood.
Description
We compared peri-implantitis with moderate- and high-grade periodontitis using integrated microbial and single-cell sequencing (>967,169-cells; single-cell RNA-seq, spatial proteotranscriptomics). Laser capture microdissection with compartmental microbiome analysis revealed reduced bacterial load and diversity in peri-implantitis.
Expansion of the Human Periodontal Atlas with peri-implantitis single-cell RNA-seq data (36-samples; 121,395 cells) identified CD34+ vascular endothelial cell (VEC) rarefaction and oxidative stress, hypoxia, and NAD⁺ metabolism-associated transcriptional programs enriched in a TNFRSF6B⁺/ICAM1⁺ post-capillary venule (PC-VEC) subpopulation. NAD⁺-consuming ectoenzyme CD38 was selectively enriched and orthogonally confirmed by spatial transcriptomics (6-samples; 283,377-cells) and proteomics (23-samples; 562,397-cells).
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Spatial neighborhood analyses demonstrated CD38⁺-high PC-VEC expansion, closer proximity, and higher IL16–CD4 T cell signaling in peri-implantitis. Matched high-grade periodontitis biopsies confirmed spatially restricted CD38⁺-VECs despite similar microbial burden, identifying endothelial vasculopathy underlying rapidly advancing oral inflammation and a potential therapeutic axis.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE310nnn/GSE310110 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE310110 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1365154 ncbi.nlm.nih.gov/bioproject/PRJNA1365154 ↗
project · from NCBI GEO
- PubMed 42103720 pubmed.ncbi.nlm.nih.gov/42103720 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Mass spectrometry 65% · RNA sequencing 65% · Sequencing 75% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE310110 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| 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:mass-spectrometry | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| 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[modality].local:modality:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| 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 |