超越重力:利用基因可塑性来减轻太空飞行引起的病理

IF 3.4 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Proteomics Pub Date : 2025-06-27 DOI:10.1002/pmic.202500087
Irina-Mihaela Matache
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引用次数: 0

摘要

随着太空探索变得越来越容易,了解太空飞行对人体的分子和病理生理后果变得至关重要。空间诱导的改变可能会破坏多种信号通路,对心血管、神经和肌肉骨骼系统等的功能完整性产生重大影响。在最近的一项研究中,Bourdakou等人利用人类诱导多能干细胞衍生的心肌细胞(hiPSC-CMs)进行了航天飞行和随后的飞行后条件,重点研究了与心血管疾病(CVD)相关的基因表达谱的改变。已知与CVD和核因子-红细胞2相关因子2 (NRF2)氧化应激调控网络相关的基因在航天飞行和飞行后均呈现一致的定向表达变化。一项计算药物再利用分析确定了10种候选药物,它们有可能逆转太空飞行暴露的心肌细胞中观察到的转录组修饰。这些发现突出了分子研究的重要性,并强调需要开展综合、多组学研究工作,以在航天飞行期间和之后保护人类健康。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Beyond Gravity: Leveraging Gene Plasticity to Mitigate Spaceflight-Induced Pathologies

As space exploration becomes increasingly accessible, understanding the molecular and pathophysiological consequences of spaceflight on the human body becomes crucial. Space-induced modifications could disrupt multiple signaling pathways, with significant implications for the functional integrity of cardiovascular, nervous, and musculoskeletal systems, among others. In a recent study, Bourdakou et al. have focused on alterations in gene expression profiles linked to cardiovascular disease (CVD), using human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) undergoing spaceflight and subsequent postflight conditions. Genes with known associations with CVD and nuclear factor erythroid 2-related factor 2 (NRF2) oxidative stress regulatory network have been identified to present consistent directional expression changes in both spaceflight and postflight. A computational drug repurposing analysis identified ten candidate agents with the potential to reverse observed transcriptomic modifications in spaceflight-exposed cardiomyocytes. These findings highlight the importance of molecular studies and emphasize the need for integrative, multi-omic research efforts to protect human health during and beyond spaceflight.

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来源期刊
Proteomics
Proteomics 生物-生化研究方法
CiteScore
6.30
自引率
5.90%
发文量
193
审稿时长
3 months
期刊介绍: PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.
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