Single-nucleus RNA sequencing reveals the pathological process and key transcription factor of sorafenib-induced cardiotoxicity.

IF 8.7 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Yani Wang, Zheming Yang, Jing Wang, Ziqi Liu, Yan Zhang, Xiaolin Zhang, Haixu Song, Chenghui Yan, Dan Liu, Yaling Han
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引用次数: 0

Abstract

Background: Sorafenib is a first-line treatment for advanced solid tumors. However, its clinical application is limited by cardiotoxicity. The underlying mechanisms remain unclear. We aimed to identify key mechanisms of sorafenib-induced cardiotoxicity using single-nucleus RNA sequencing (snRNA-seq) and experimental verification.

Methods: SnRNA-seq was performed on cardiac tissue from a mouse model of sorafenib-induced cardiotoxicity. Bioinformatics analyses included weighted gene co-expression network analysis (WGCNA), differentially expressed gene (DEG) analysis, intercellular communication inference, and transcriptional regulatory network analysis. We conducted functional verification both in vivo and in vitro.

Results: SnRNA-seq demonstrated that cell clustering and component analysis confirmed the reduction in cardiomyocytes (CMs) and endothelial cells (ECs), along with an increase in immune cell populations. DEG enrichment analysis indicated that the upregulated DEGs in CMs, ECs, and fibroblasts (FBs) were consistently enriched in pathways associated with cardiomyopathy, whereas the downregulated DEGs were enriched in myocardial remodeling and repair processes. Gene set scoring revealed activation of fibrosis and inflammation programs in CMs and FBs. Cell communication analysis revealed a widespread disruption of cellular crosstalk in sorafenib-induced cardiotoxicity and identified key ligand-receptor pairs contributing to pro-inflammatory and pro-fibrotic phenotypes. Meanwhile we identified the common transcription factors and main effect genes in the three main effector cells during sorafenib-induced cardiotoxicity. Augur analysis and WGCNA consistently identified CMs as the most significantly affected cell type. Transcriptional regulatory network analysis highlighted melanocyte-inducing transcription factor (MITF) as a core transcription factor involved in sorafenib-induced cardiotoxicity. Functional validation showed that MITF expression was significantly increased in cardiac tissues and CMs after sorafenib treatment and that knockdown of MITF attenuated sorafenib-mediated CM hypertrophy in vitro.

Conclusions: By constructing the first snRNA-seq data for sorafenib-induced cardiotoxicity, we identified MITF as a key transcription factor associated with sorafenib-induced cardiotoxicity. Our study provides potential therapeutic targets for mitigating sorafenib-induced cardiotoxicity.

单核RNA测序揭示了索拉非尼诱导心脏毒性的病理过程和关键转录因子。
背景:索拉非尼是晚期实体瘤的一线治疗药物。然而,其临床应用受到心脏毒性的限制。其潜在机制尚不清楚。我们旨在通过单核RNA测序(snRNA-seq)和实验验证来确定索拉非尼诱导的心脏毒性的关键机制。方法:对索拉非尼致心脏毒性小鼠模型心脏组织进行snrna测序。生物信息学分析包括加权基因共表达网络分析(WGCNA)、差异表达基因(DEG)分析、细胞间通讯推断和转录调控网络分析。我们在体内和体外进行了功能验证。结果:SnRNA-seq显示细胞聚类和成分分析证实心肌细胞(CMs)和内皮细胞(ECs)减少,同时免疫细胞群增加。DEG富集分析表明,在CMs、ECs和成纤维细胞(FBs)中,上调的DEG在与心肌病相关的途径中持续富集,而下调的DEG则在心肌重塑和修复过程中富集。基因集评分显示cm和FBs中纤维化和炎症程序的激活。细胞通讯分析揭示了索拉非尼诱导的心脏毒性中细胞串扰的广泛破坏,并确定了促进促炎和促纤维化表型的关键配体-受体对。同时,我们确定了索拉非尼诱导心脏毒性过程中三种主要效应细胞的共同转录因子和主要效应基因。Augur分析和WGCNA一致认为CMs是受影响最显著的细胞类型。转录调控网络分析强调,黑色素细胞诱导转录因子(MITF)是参与索拉非尼诱导的心脏毒性的核心转录因子。功能验证表明,索拉非尼治疗后心肌组织和CM中MITF表达显著增加,MITF敲低可减轻体外索拉非尼介导的CM肥大。结论:通过构建索拉非尼诱导的心脏毒性的首个snRNA-seq数据,我们确定MITF是与索拉非尼诱导的心脏毒性相关的关键转录因子。我们的研究为减轻索拉非尼引起的心脏毒性提供了潜在的治疗靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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