Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning.

ABSTRACT:

Background

Pterygium is a complex ocular surface disease characterized by the abnormal proliferation and growth of conjunctival and fibrovascular tissues at the corneal-scleral margin. Understanding the underlying molecular mechanisms of pterygium is crucial for developing effective diagnostic and therapeutic strategies.

Methods

To elucidate the molecular mechanisms of pterygium, we conducted a differential gene expression analysis between pterygium and normal conjunctival tissues using high-throughput RNA sequencing. We identified differentially expressed genes (DEGs) with statistical significance (adjust p < 0.05, |logFC| > 1). Enrichment analyses were performed to assess the biological processes and signaling pathways associated with these DEGs. Additionally, we ut

SUBMITTER: Zhang LW 

PROVIDER: S-EPMC11668640 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature