Abstract
Today, we face difficulty in generating new hypotheses and understanding oral lichen planus due to the large amount of biomedical information available. In this research, we have used an integrated bioinformatics approach assimilating information from data mining, gene ontologies, protein–protein interaction and network analysis to predict candidate genes related to oral lichen planus. A detailed pathway analysis led us to propose two promising therapeutic targets: the stromal cell derived factor 1 (CXCL12) and the C-X-C type 4 chemokine receptor (CXCR4). We further validated our predictions and found that CXCR4 was upregulated in all oral lichen planus tissue samples. Our bioinformatics data cumulatively support the pathological role of chemokines and chemokine receptors in oral lichen planus. From a clinical perspective, we suggest a drug (plerixafor) and two therapeutic targets for future research.
| Original language | English |
|---|---|
| Article number | 5454 |
| Pages (from-to) | 1-8 |
| Number of pages | 8 |
| Journal | Scientific Reports |
| Volume | 10 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Dec 2020 |
| Externally published | Yes |
Bibliographical note
Funding Information:Funding was provided by Fondo Nacional de Desarrollo Científico y Tecnológico (Fondecyt; grant no. 11180170) and Red Estatal de Odontología (grant no. REO19–012).
Publisher Copyright:
© 2020, The Author(s).