Integrated multi-omic high-throughput strategies across-species identified potential key diagnostic, prognostic, and therapeutic targets for atherosclerosis under high glucose conditions.
Mol Cell Biochem
; 2024 Sep 02.
Article
in En
| MEDLINE
| ID: mdl-39223351
ABSTRACT
Diabetes is a well-known risk factor for atherosclerosis (AS), but the underlying molecular mechanism remains unknown. The dysregulated immune response is an important reason. High glucose is proven to induce foam cell formation under lipidemia situations in clinical patients. Exploring the potential regulatory programs of accelerated foam cell formation stimulated by high glucose is meaningful. Macrophage-derived foam cells were induced in vitro, and high-throughput sequencing was performed. Coexpression gene modules were constructed using weighted gene co-expression network analysis (WGCNA). Highly related modules were identified. Hub genes were identified by multiple integrative strategies. The potential roles of selected genes were further validated in bulk-RNA and scRNA datasets of human plaques. By transfection of the siRNA, the role of the screened gene during foam cell formation was further explored. Two modules were found to be both positively related to high glucose and ox-LDL. Further enrichment analyses confirmed the association between the brown module and AS. The high correlation between the brown module and macrophages was identified and 4 hub genes (Aldoa, Creg1, Lgmn, and Pkm) were screened. Further validation in external bulk-RNA and scRNA revealed the potential diagnostic and therapeutic value of selected genes. In addition, the survival analysis confirmed the prognostic value of Aldoa while knocking down Aldoa expression alleviated the foam cell formation in vitro. We systematically investigated the synergetic effects of high glucose and ox-LDL during macrophage-derived foam cell formation and identified that ALDOA might be an important diagnostic, prognostic, and therapeutic target in these patients.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Language:
En
Journal:
Mol Cell Biochem
Year:
2024
Document type:
Article
Affiliation country:
China
Country of publication:
Países Bajos