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Immune-related signature of periodontitis and Alzheimer's disease linkage.
Jin, Jieqi; Guang, Mengkai; Li, Simin; Liu, Yong; Zhang, Liwei; Zhang, Bo; Cheng, Menglin; Schmalz, Gerhard; Huang, Xiaofeng.
Afiliación
  • Jin J; Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
  • Guang M; Department of Stomatology, China-Japan Friendship Hospital, Beijing, China.
  • Li S; Stomatological Hospital, Southern Medical University, Guangzhou, China.
  • Liu Y; Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
  • Zhang L; Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
  • Zhang B; Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
  • Cheng M; Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
  • Schmalz G; Department of Cariology, Endodontology and Periodontology, Leipzig University, Leipzig, Germany.
  • Huang X; Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Front Genet ; 14: 1230245, 2023.
Article en En | MEDLINE | ID: mdl-37849501
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 publicly 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 publicly 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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Genet Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Genet Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza