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  2. PPARγ-responsive luciferase reporter system for high-throughput screening of chemical toxins with potential pulmonary fibrosis effects

PPARγ-responsive luciferase reporter system for high-throughput screening of chemical toxins with potential pulmonary fibrosis effects

  • Ecotoxicol Environ Saf. 2025 Nov 15:307:119433. doi: 10.1016/j.ecoenv.2025.119433.
Xueyang Lin 1 Yi Yang 2 Yangyang Sun 2 Weijie Yang 2 Shengran Wang 2 Weidong Li 2 Zhenghao Bao 2 Ziqi Cui 2 Yufeng Yang 1 Simin Lang 2 Chen Yang 2 Weiqiang Sun 2 Xin Sui 2 Wenya Feng 2 Xianli Du 2 Jun Yang 2 Yongan Wang 3 Yuan Luo 4
Affiliations

Affiliations

  • 1 State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, Beijing 100080, China; School of Pharmacy, Qingdao University, Qingdao, Shandong 266071, China.
  • 2 State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, Beijing 100080, China.
  • 3 State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, Beijing 100080, China. Electronic address: [email protected].
  • 4 State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, Beijing 100080, China. Electronic address: [email protected].
Abstract

Background: Pulmonary fibrosis (PF) is a progressive and fatal lung disorder, and emerging evidence suggests that dysregulation of Peroxisome Proliferator-activated Receptor gamma (PPARγ) plays a critical role in its pathogenesis. However, high-throughput screening (HTS) models for identifying fibrogenic chemicals targeting PPARγ remain underdeveloped. This study aimed to establish a reliable HTS cellular model using a PPARγ-responsive luciferase reporter system to rapidly identify chemicals that induce PF via PPARγ dysregulation.

Methods: Hub genes associated with PF were identified through bioinformatics analysis. A stable HTS cellular model was constructed using a lentiviral vector carrying a luciferase reporter gene under the control of PPARγ-responsive elements. The model was validated using RT-qPCR and luciferase assays. To evaluate its accuracy, four known PF-inducing chemicals and ten non-PF chemicals were tested. Furthermore, to evaluate the model's predictive capability for compounds with uncharacterized PF risk, seven anti-cancer compounds were screened. Molecular docking (MOE) and surface plasmon resonance (SPR) were employed to confirm interactions between the identified chemicals and PPARγ.

Results: PPARγ was identified as the key hub gene linked to PF. The PPARγ-responsive cellular model exhibited significantly elevated PPARγ mRNA levels and luciferase activity compared to controls. PF-inducing chemicals suppressed luciferase activity, whereas non-PF chemicals had no effect. Notably, screening of anti-cancer compounds revealde a subset that markedly suppressed PPARγ activity. Molecular docking and SPR analyses demonstrated concentration-dependent binding affinities between PF-inducing chemicals and PPARγ.

Conclusion: This study developed a high-throughput luciferase-based PPARγ-responsive cellular model to screen chemicals that may contribute to PF through the inhibition of PPARγ activity. The model demonstrates potential as a useful tool for preliminary chemical evaluation. These results suggest a possible role of PPARγ-mediated mechanisms in the development of PF. This work may provide a foundational framework for future efforts in hazard screening and drug discovery aimed at mitigating the effects of PF.

Keywords

Adverse outcome pathway (AOP); High-throughput screening (HTS); Luciferase reporter; PPARγ; Pulmonary fibrosis.

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