阿霉素致心脏毒性和肥厚的时间分析。

IF 3.5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Yu-Te Lin, Yi-Ju Lee, Wen-Wei Tseng, Zih-Hua Chen, Huai-Ching Hsieh, Ko-Hong Lin, Jin-Yu Su, An-Chi Wei
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引用次数: 0

摘要

多柔比星(DOX)虽然治疗癌症有效,但对心脏有明显的副作用,限制了其临床应用。在这项研究中,我们收集了人类心肌细胞系AC16的时间过程转录组学和代谢组学数据,并将其与dox诱导毒性的公共转录组学数据一起进行了分析。我们开发了多组学分析工作流程和计算工具箱pipeGEM,将RNA-seq数据与代谢模型相结合,从而能够在样本特定水平上模拟dox诱导的代谢扰动。我们的研究结果表明,DOX影响线粒体损伤和线粒体到细胞核的逆行信号传导,可能导致观察到的细胞增大、衰老和代谢转变。DOX处理后存活的心肌细胞表现为糖酵解升高,戊糖磷酸途径活性增加,TCA循环改变,谷胱甘肽和脂肪酸代谢改变。这些发现提供了对DOX诱导的毒性及其对心脏肥厚的影响的全面理解,提出了在保持DOX抗癌功效的同时减轻副作用的潜在策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Temporal analysis of doxorubicin-induced cardiac toxicity and hypertrophy.

Doxorubicin (DOX), although effective in treating cancer, has significant cardiac side effects, which limit its clinical utility. In this study, we collected time-course transcriptomics and metabolomics data from the human cardiomyocyte cell line AC16, which we analyzed along with curated public transcriptomics data on DOX-induced toxicity. We developed a multiomics analysis workflow and a computational toolbox, pipeGEM, to integrate RNA-seq data with metabolic models, enabling the simulation of DOX-induced metabolic perturbations at a sample-specific level. Our results revealed that DOX affected mitochondrial damage and mitochondria-to-nucleus retrograde signaling, potentially contributing to the observed cellular enlargement, senescence and metabolic shift. Cardiac cells that survived DOX treatment presented elevated glycolysis, increased pentose phosphate pathway activity, an altered TCA cycle, and modified glutathione and fatty acid metabolism. These findings provide a comprehensive understanding of DOX-induced toxicity and its implications for cardiac hypertrophy, suggesting potential strategies to mitigate side effects while retaining the anticancer efficacy of DOX.

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来源期刊
NPJ Systems Biology and Applications
NPJ Systems Biology and Applications Mathematics-Applied Mathematics
CiteScore
5.80
自引率
0.00%
发文量
46
审稿时长
8 weeks
期刊介绍: npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.
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