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ORIGINAL RESEARCH article

Front. Genet.

Sec. Computational Genomics

Volume 16 - 2025 | doi: 10.3389/fgene.2025.1690947

This article is part of the Research TopicRefining Precision Medicine through AI and Multi-omics IntegrationView all 6 articles

Multi-Omics Identification and Validation of Oxidative Phosphorylation–Related Hub Genes in Schizophrenia

Provisionally accepted
Yu  ZhouYu Zhou1Shuang  ZhangShuang Zhang2Yaoxia  LiuYaoxia Liu3Xin  DaiXin Dai3Ting  ZhangTing Zhang3Xiao-Tao  XuXiao-Tao Xu3Sheng-Nan  DengSheng-Nan Deng3Min-Yan  YangMin-Yan Yang4Fan  ZhenFan Zhen3*
  • 1The Second People's Hospital of Yibin City, Yibin, China
  • 2The Affiliated Hospital of Southwest Medical University, Luzhou, China
  • 3Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China
  • 4The Fourth People's Hospital of Chengdu, Chengdu, China

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

Introduction: Dysfunction in mitochondrial oxidative phosphorylation (OXPHOS) has been implicated in the pathophysiology of schizophrenia, yet its molecular underpinnings remain poorly defined. In this study, we performed an integrative multi-omics analysis to delineate these molecular signatures. Methods: Bulk transcriptomic datasets of schizophrenia patients and controls were obtained from the Gene Expression Omnibus. Differentially expressed genes (DEGs) associated with OXPHOS were identified through a combination of differential expression analysis, single-sample gene set enrichment analysis (ssGSEA), and weighted gene co-expression network analysis (WGCNA). Hub genes were prioritized by machine learning algorithms (LASSO, SVM-RFE, and random forest). These hub genes were validated using an independent dataset and further corroborated by RT-qPCR in an MK-801-induced mouse model. Single-nucleus RNA sequencing (snRNA-seq) was employed to delineate cell type-specific oxidative phosphorylation activity and transcriptional profiles. Results: Transcriptomic analysis identified 130 DEGs between schizophrenia and controls, significantly enriched in oxidative phosphorylation and mitochondrial respiration pathways. Subsequent ssGSEA confirmed the reduced OXPHOS enrichment scores in schizophrenia. Furthermore, WGCNA uncovered two hub modules significantly associated with OXPHOS, which also showed strong correlations with schizophrenia. Intersecting their 2,609 module genes with 130 DEGs yielded 69 OXPHOS-related DEGs. From these, machine learning prioritized six hub genes, four of which demonstrated strong diagnostic potential and robust correlations with OXPHOS scores. Extending these findings in vivo, MK-801–treated mice exhibited behavioral and neuronal deficits, reduced ATP5A fluorescence intensity, and decreased ATP concentrations; expression of all four hub genes was significantly altered, with three (MALAT1, PPIL3, and ITM2A) concordant with transcriptomic results. Finally, snRNA-seq analysis indicated that OXPHOS is the principal ATP-generating pathway in the brain, with notable enrichment in excitatory neurons and endothelial cells, and further revealed significant correlations of MALAT1, PPIL3, and ITM2A with OXPHOS, consistent with bulk and in vivo observations. Conclusion: This finding suggests a potential link between OXPHOS dysfunction and schizophrenia, with MALAT1, PPIL3, and ITM2A emerging as candidate regulators of this process.

Keywords: Schizophrenia, Oxidative Phosphorylation, Mitochondrial dysfunction, multi-omics, single-nucleus RNA sequencing

Received: 22 Aug 2025; Accepted: 09 Oct 2025.

Copyright: © 2025 Zhou, Zhang, Liu, Dai, Zhang, Xu, Deng, Yang and Zhen. 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: Fan Zhen, fanzhen_dr@163.com

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