Affiliation:
1. Beijing Friendship Hospital
2. China-Japan Friendship Hospital
3. Southern Medical University
4. Leipzig University
Abstract
Abstract
Background Periodontits (PD) and Alzheimer’s disease (AD) are both associated with ageing and clinical studies increasingly evidence their association. However, specific mechanisms underlying this association remain undeciphered, and immune-related processes are purported to play a signifcant role. The accrual of publically available transcriptomic datasets permits secondary analysis and the application of data-mining and bioinformatic tools for biological discovery.Aim The present study aimed to leverage publically available transcriptomic datasets and databases, and apply a series of bioinformatic analysis to identify a robust signature of immune-related signature of PD and AD linkage.Methods We downloaded gene-expresssion data pertaining PD and AD and identified crosstalk genes. We constructed a protein-protein network analysis, applied immune cell enrichment analysis, and predicted crosstalk immune-related genes and infiltrating immune cells. Next, we applied consisent cluster analysis and performed immune cell bias analysis, followed by LASSO regression to select biomarker immune-related genes.Results The results showed a 3 gene set comprising of DUSP14, F13A1 and SELE as a robust immune-related signature. Macrophages M2 and NKT, B-cells, CD4 + memory T-cells and CD8 + naive T-cells emerged as key immune cells linking PD with AD.Conclusion Candidate immune-related biomarker genes and immune cells central to the assocation of PD with AD were identified, and merit investigation in experimental and clinical research.
Publisher
Research Square Platform LLC
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