TY - JOUR
T1 - The spatial transcriptomic landscape of human gingiva in health and periodontitis
AU - Shen, Zongshan
AU - Zhang, Ran
AU - Huang, Yunjia
AU - Chen, Jiayao
AU - Yu, Mengjun
AU - Li, Chunhua
AU - Zhang, Yong
AU - Chen, Lingling
AU - Huang, Xin
AU - Yang, Jichen
AU - Lin, Zhengmei
AU - Wang, Songlin
AU - Cheng, Bin
N1 - Publisher Copyright:
© Science China Press 2023.
PY - 2024/4
Y1 - 2024/4
N2 - The gingiva is a key oral barrier that protects oral tissues from various stimuli. A loss of gingival tissue homeostasis causes periodontitis, one of the most prevalent inflammatory diseases in humans. The human gingiva exists as a complex cell network comprising specialized structures. To understand the tissue-specific pathophysiology of the gingiva, we applied a recently developed spatial enhanced resolution omics-sequencing (Stereo-seq) technique to obtain a spatial transcriptome (ST) atlas of the gingiva in healthy individuals and periodontitis patients. By utilizing Stereo-seq, we identified the major cell types present in the gingiva, which included epithelial cells, fibroblasts, endothelial cells, and immune cells, as well as subgroups of epithelial cells and immune cells. We further observed that inflammation-related signalling pathways, such as the JAK-STAT and NF-κB signalling pathways, were significantly upregulated in the endothelial cells of the gingiva of periodontitis patients compared with those of healthy individuals. Additionally, we characterized the spatial distribution of periodontitis risk genes in the gingiva and found that the expression of IFI16 was significantly increased in endothelial cells of inflamed gingiva. In conclusion, our Stereo-seq findings may facilitate the development of innovative therapeutic strategies for periodontitis by mapping periodontitis-relevant genes and pathways and effector cells.
AB - The gingiva is a key oral barrier that protects oral tissues from various stimuli. A loss of gingival tissue homeostasis causes periodontitis, one of the most prevalent inflammatory diseases in humans. The human gingiva exists as a complex cell network comprising specialized structures. To understand the tissue-specific pathophysiology of the gingiva, we applied a recently developed spatial enhanced resolution omics-sequencing (Stereo-seq) technique to obtain a spatial transcriptome (ST) atlas of the gingiva in healthy individuals and periodontitis patients. By utilizing Stereo-seq, we identified the major cell types present in the gingiva, which included epithelial cells, fibroblasts, endothelial cells, and immune cells, as well as subgroups of epithelial cells and immune cells. We further observed that inflammation-related signalling pathways, such as the JAK-STAT and NF-κB signalling pathways, were significantly upregulated in the endothelial cells of the gingiva of periodontitis patients compared with those of healthy individuals. Additionally, we characterized the spatial distribution of periodontitis risk genes in the gingiva and found that the expression of IFI16 was significantly increased in endothelial cells of inflamed gingiva. In conclusion, our Stereo-seq findings may facilitate the development of innovative therapeutic strategies for periodontitis by mapping periodontitis-relevant genes and pathways and effector cells.
KW - gingiva
KW - periodontal disease
KW - periodontitis risk genes
KW - spatial transcriptomics
UR - https://www.scopus.com/pages/publications/85181236905
U2 - 10.1007/s11427-023-2467-1
DO - 10.1007/s11427-023-2467-1
M3 - 文章
C2 - 38172357
AN - SCOPUS:85181236905
SN - 1674-7305
VL - 67
SP - 720
EP - 732
JO - Science China Life Sciences
JF - Science China Life Sciences
IS - 4
ER -