# The role of age-related genes in idiopathic pulmonary fibrosis and molecular docking analysis of their drug targets

**Authors:** Wei Zhang, Tingting Xia, Qian Zhang

PMC · DOI: 10.3389/fimmu.2025.1697013 · Frontiers in Immunology · 2026-01-05

## TL;DR

This study explores how aging-related genes contribute to lung fibrosis and identifies potential drug targets using molecular docking and transcriptomic analysis.

## Contribution

The study identifies CLU and LCN2 as key regulators of age-related pulmonary fibrosis and proposes inulin and meclizine as potential therapeutic candidates.

## Key findings

- 292 differentially expressed genes were identified in IPF, with 19 showing significant aging-related characteristics.
- CLU and LCN2 were identified as central hub genes in both ceRNA networks and TF regulatory circuits.
- Inulin and meclizine showed stable binding conformations with LCN2 and CLU, respectively, suggesting therapeutic potential.

## Abstract

Idiopathic pulmonary fibrosis (IPF), a relentlessly progressive lung disorder marked by unremitting extracellular matrix deposition, continues to challenge clinical management due to its enigmatic etiology. Emerging evidence positions biological aging as a critical orchestrator of fibrotic reprogramming, where senescent cell accumulation and dysregulated tissue repair converge to drive disease progression.

Three independent IPF transcriptomic datasets (GSE24206, GSE53845, GSE68039) were retrieved from the Gene Expression Omnibus (GEO) database. Aging-related differentially expressed genes (DEGs) were identified through intersection analysis with established senescence-associated gene sets. Functional annotation was performed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Protein-protein interaction (PPI) networks were constructed via STRING database and visualized using Cytoscape to identify topological hub genes. Competing endogenous RNA (ceRNA) networks and transcription factor (TF)-gene regulatory relationships were subsequently established. The DSigDB database was employed for drug-gene interaction prediction, complemented by molecular docking validation. Experimental validation was conducted using the GSE10667 dataset and a bleomycin-induced murine pulmonary fibrosis mode.

Comparative transcriptomic analysis revealed 292 DEGs between IPF and control tissues, with 19 exhibiting significant aging-related characteristics. Network topology analysis identified ten hub genes, including CLU and LCN2, that occupied central positions in both ceRNA networks and TF regulatory circuits. Drug enrichment analysis nominated inulin and meclizine as promising candidates demonstrating stable binding conformations with LCN2 and CLU, respectively. External validation confirmed significant upregulation of CLU and LCN2 in GSE10667 dataset, consistent with murine model findings.

Our integrative analysis reveals novel molecular connections between cellular senescence programs and fibrotic lung remodeling, positioning CLU and LCN2 as pivotal regulators of age-associated pulmonary fibrosis. The identified drug candidates exhibit therapeutic potential through multi-target engagement mechanisms, providing a translational framework for developing senescence-modulating therapies in IPF.

## Linked entities

- **Genes:** CLU (clusterin) [NCBI Gene 1191], LCN2 (lipocalin 2) [NCBI Gene 3934]
- **Chemicals:** meclizine (PubChem CID 4034)
- **Diseases:** idiopathic pulmonary fibrosis (MONDO:0800029), pulmonary fibrosis (MONDO:0002771)

## Full-text entities

- **Genes:** Clu (clusterin) [NCBI Gene 12759] {aka ApoJ, Cli, D14Ucla3, SP-40, Sgp-2, Sgp2}, Lcn2 (lipocalin 2) [NCBI Gene 16819] {aka 24p3, NRL, Sip24}
- **Diseases:** lung disorder (MESH:D008171), pulmonary fibrosis (MESH:D011658), IPF (MESH:D054990)
- **Chemicals:** meclizine (MESH:D008468), inulin (MESH:D007444), bleomycin (MESH:D001761)
- **Species:** Mus musculus (house mouse, species) [taxon 10090]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12812732/full.md

## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12812732/full.md

## References

68 references — full list in the complete paper: https://tomesphere.com/paper/PMC12812732/full.md

---
Source: https://tomesphere.com/paper/PMC12812732