Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Pharmacol.

Sec. Renal Pharmacology

Volume 16 - 2025 | doi: 10.3389/fphar.2025.1640822

This article is part of the Research TopicReviews in Renal Pharmacology: 2024View all 18 articles

Icariin ameliorates minimal change disease by regulating the mitochondrial dysfunction pathway: An integrated strategy of network pharmacology, bioinformatics, and experimental validation

Provisionally accepted
Hao  WuHao Wu1,2Rong  WuRong Wu3Dian  ZhongDian Zhong1Enlai  DaiEnlai Dai1*Li  ChenLi Chen4Guozhong  XueGuozhong Xue2Xuping  LiXuping Li2Hanyu  WangHanyu Wang2
  • 1Gansu University of Chinese Medicine, Lanzhou, China
  • 2Affiliated Hospital of Gansu University of Chinese Medicine, Lanzhou, China
  • 3Lanzhou University First Hospital, Lanzhou, China
  • 4The Second People's Hospital of Baiyin Municipality, Baiyin, China

The final, formatted version of the article will be published soon.

Background: Minimal change disease (MCD) involves mitochondrial dysfunction, and icariin (ICA) has therapeutic potential; however, the exact mechanism by which ICA regulates mitochondrial dysfunction remains to be elucidated. This study investigated ICA targets and mitochondrial dysfunction-related genes (MDRGs) involved in MCD pathogenesis.Methods: First, the differentially expressed genes (DEGs) between MCD and controls were identified using differential expression analysis. Differential MCD-ICA target genes were obtained by intersecting the DEGs and MDRGs with ICA target genes. The four algorithms of Cytoscape were subsequently used to screen differential MCD-ICA target genes for candidates, which were refined through expression validation, machine learning, and ROC analysis to pinpoint the key genes. Next, a nomogram model of MCD was constructed. Moreover, gene set enrichment analysis (GSEA), immune infiltration, molecular regulatory network analysis, and molecular docking were performed using the key genes. Finally, reverse transcription quantitative polymerase chain reaction (RT-qPCR) was used to validate the expression of the key genes in rat samples. In parallel, mitochondrial morphology was examined using transmission electron microscopy, and the ATP content in renal tissue was measured using colorimetric detection.Two key genes (ANPEP and XDH) were identified, both down-regulated in MCD. Furthermore, these findings were confirmed using RT-qPCR, with ICA intervention reversing their expression. In addition, the key gene-based nomogram had a good prediction effect. Molecular docking confirmed strong binding between ICA and each of the key genes. GSEA revealed that the top 3 most prominent pathways shared between the 2 key genes included neutrophil degranulation and the innate immune system, with differential immune cell infiltration noted between the MCD patients and controls (e.g., resting dendritic cells and eosinophils). A total of 12 transcription factors coregulated the genes XDH and ANPEP. Transmission electron microscopy and colorimetry confirmed that ICA intervention alleviated mitochondrial dysfunction.ANPEP and XDH were identified to be associated with ICA therapy and MDRGs in MCD patients. Furthermore, the potential ameliorating effect of ICA on MCD could be achieved by alleviating mitochondrial dysfunction. This work provides a potential theoretical basis for MCD treatment.

Keywords: ICA, Mitochondrial dysfunction, minimal change disease, key genes, Network Pharmacology

Received: 04 Jun 2025; Accepted: 28 Jul 2025.

Copyright: © 2025 Wu, Wu, Zhong, Dai, Chen, Xue, Li and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Enlai Dai, Gansu University of Chinese Medicine, Lanzhou, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.