Development of a diagnostic model for MASLD and identification of daidzein as the potential drug using bioinformatics analysis and experiments
We developed a predictive model for MASLD and identified <i>ENO3</i> as a key predictive gene. Furthermore, we discovered that daidzein may serve as a potential therapeutic agent for MASLD. Through <i>in vitro</i> studies, we further confirmed that daidzein alleviates lipid deposition and improves MASLD by modulating the ENO3/PPAR signaling pathway.
Authors
- Lihong Qu (ORCID: https://orcid.org/0000-0001-8631-7882)
- Lang Zhou (ORCID: https://orcid.org/0000-0003-1443-4531)
- Nan Kong (ORCID: https://orcid.org/0009-0008-3686-4130)
- Kaixia Wang (ORCID: https://orcid.org/0000-0003-4261-9330)
- Chunxue Liu (ORCID: https://orcid.org/0000-0002-8805-8869)
- Tao Wang (ORCID: https://orcid.org/0000-0002-5728-6463)
- Hao Zhang
Institutions
- Shanghai East Hospital (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-10-22
- DOI
- https://doi.org/10.3389/fimmu.2025.1698740
- Primary Topic
- Phytoestrogen effects and research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Shanghai Pudong New Area Health Commission