Integrated bioinformatic analysis and experimental validation for exploring the key molecular of brain inflammaging

Aims Integrating bioinformatics and experimental validation to explore the mechanisms of inflammaging in Brain. Method After dividing GSE11882 dataset into aged young groups, we identified co-expressed differentially expressed genes (DEGs) different brain regions. Enrichment analysis revealed that DEGs were mainly associated with inflammatory responses. Subsequently, 12 related response used DGIdb website for drug prediction. By using both least absolute shrinkage selection operator (LASSO) random forest (RF), four biomarkers screened an artificial neural network (ANN) was developed diagnosis. validated through animal studies. Then utilized AgeAnno investigate roles at single cell level. Next, a consensus clustering approach classify aging samples perform differential identify response-related genes. conducting weighted gene co-expression (WGCNA), are correlated regions aging. Wayne diagrams seven inflammaging-related Finally, performed immuno-infiltration macrophage module Key findings Inflammaging may be major mechanism aging, regulation macrophages by CX3CL1 play role development inflammaging. Significance In summary, targeting can potentially delay immunosenescence brain.