# Core Ferroptosis-Related Biomarkers and miRNA Regulatory Networks in Alzheimer’s Disease

## TL;DR

This study identifies nine genes linked to ferroptosis that may serve as potential biomarkers for Alzheimer’s disease and explores how miRNAs regulate these genes.

## Contribution

The study identifies novel ferroptosis-related genes and their miRNA regulatory network in Alzheimer’s disease.

## Key findings

- Nine ferroptosis-related differentially expressed genes (FRDEGs) were identified as potential biomarkers for Alzheimer’s disease.
- Eleven miRNAs were found to regulate these core FRDEGs, forming a regulatory network.
- The identified genes showed significant differential expression and moderate discriminatory power in validation cohorts.

## Abstract

Background: The exact pathogenesis of Alzheimer’s disease (AD), a neurodegenerative disorder, remains unclear. Ferroptosis is a form of cell death characterized by intracellular iron accumulation, and has emerged as a potential contributor to the pathological cascade of AD. Therefore, this study aims to identify core genes that may function as reliable biomarkers for AD through an in-depth analysis of the genetic relationship between ferroptosis-related genes and AD. Methods: This study first obtained the gene expression profiles (GSE140831, GSE63060 and GSE63061 expression profiles). The GSE140831 dataset served as the discovery cohort, and the GSE63060 and GSE63061 datasets were used as independent validation cohorts. R language 4.4.1 was used for standardizing and identifying differentially expressed genes (DEGs) in AD patients in all datasets. Secondly, the ferroptosis-related genes were obtained. By integrating the ferroptosis-related genes, ferroptosis-related DEGs (FRDEGs) were detected. Then, the FRDEGs were verified and evaluated, and the biological functions of the core genes were analyzed. Finally, miRNAs interacting with these core FRDEGs were explored. Results: The study identified nine FRDEGs (ACVR1B, BRPF1, G6PD, KLHDC3, LAMP2, MTCH1, P4HB, PTPN6, RBMS1), which are potentially related and may serve as biomarkers for AD. All nine genes demonstrated statistically significant differential expression (up-regulation) in both independent validation cohorts and in the combined analysis (p < 0.05). Although the area under the curve (AUC) values of these nine genes ranged from 0.61 to 0.71, indicating moderate discriminatory power, these findings suggest that they may be involved in pathways related to AD and are worthy of further investigation as potential auxiliary biomarkers. Finally, a network of hub FRDEGs-miRNAs interaction was constructed. There were 11 miRNAs that may regulate these hub FRDEGs simultaneously. Conclusions: This study showed the significant association of the identified FRDEGs with AD. Also, a core ferroptosis-related biomarker network for miRNAs regulation of AD was constructed. The specific regulatory mechanism is worthy of further investigation.