Developing an RNA Signature for Radiation Injury Using a Human Liver-on-a-Chip Model.

IF 2.5 3区 医学 Q2 BIOLOGY
Shannon Martello, Yuki Ueda, Michelle A Bylicky, Jonathan Pinney, Juan Dalo, Kevin M K Scott, Molykutty J Aryankalayil, C Norman Coleman
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引用次数: 0

Abstract

Radiation exposure in a therapeutic setting or during a mass casualty event requires improved medical triaging, where the time to delivery and quantity of medical countermeasures are critical to survival. Radiation-induced liver injury (RILI) and fibrosis can lead to death, but clinical symptoms manifest late in disease pathogenesis and there is no simple diagnostic test to determine RILI. Because animal models do not completely recapitulate clinical symptoms, we used a human liver-on-a-chip model to identify biomarkers of RILI. The goals of this study were: 1. to establish a microfluidic liver-on-a-chip device as a physiologically relevant model for studying radiation-induced tissue damage; and 2. to determine acute changes in RNA expression and biological pathway regulation that identify potential biomarkers and mechanisms of RILI. To model functional human liver tissue, we used the Emulate organ-on-a-chip system to establish a co-culture of human liver sinusoidal endothelial cells (LSECs) and hepatocytes. The chips were subject to 0 Gy (sham), 1 Gy, 4 Gy, or 10 Gy irradiation and cells were collected at 6 h, 24 h, or 7 days postirradiation for RNA isolation. To identify significant expression changes in messenger RNA (mRNA) and long non-coding RNA (lncRNA), we performed RNA sequencing (RNASeq) to conduct whole transcriptome analysis. We found distinct differences in expression patterns by time, dose, and cell type, with higher doses of radiation resulting in the most pronounced expression changes, as anticipated. Ingenuity Pathway Analysis indicated significant inhibition of the cell viability pathway 24 h after 10 Gy exposure in LSECs but activation of this pathway in hepatocytes, highlighting differences between cell types despite receiving the same radiation dose. Overall, hepatocytes showed fewer gene expression changes in response to radiation, with only 3 statistically significant differentially expressed genes at 7 days: APOBEC3H, PTCHD4, and GDNF. We further highlight lncRNA of interest including DINO and PURPL in hepatocytes and TMPO-AS1 and PRC-AS1 in LSECs, identifying potential biomarkers of RILI. We demonstrated the potential utility of a human liver-on-a-chip model with primary cells to model organ-specific radiation injury, establishing a model for radiation medical countermeasure development and further biomarker validation. Furthermore, we identified biomarkers that differentiate radiation dose and defined cell-specific targets for potential radiation mitigation therapies.

利用人体肝芯片模型开发辐射损伤的 RNA 标志。
治疗环境中或大规模伤亡事件中的辐射照射需要改进医疗分流,在这种情况下,提供医疗对策的时间和数量对生存至关重要。辐射诱导的肝损伤(RILI)和肝纤维化可导致死亡,但临床症状在疾病发病后期才出现,而且没有简单的诊断测试来确定RILI。由于动物模型不能完全再现临床症状,因此我们利用人体肝芯片模型来确定 RILI 的生物标志物。本研究的目标是1. 建立微流控芯片肝脏装置,作为研究辐射诱导的组织损伤的生理相关模型;以及 2. 确定 RNA 表达和生物通路调控的急性变化,从而确定 RILI 的潜在生物标志物和机制。为了模拟功能性人体肝脏组织,我们使用 Emulate 片上器官系统建立了人体肝窦内皮细胞(LSECs)和肝细胞的共培养。对芯片进行 0 Gy(假)、1 Gy、4 Gy 或 10 Gy 照射,在照射后 6 h、24 h 或 7 天收集细胞进行 RNA 分离。为了确定信使 RNA(mRNA)和长非编码 RNA(lncRNA)的重要表达变化,我们进行了 RNA 测序(RNASeq),以进行全转录组分析。我们发现不同时间、剂量和细胞类型的表达模式存在明显差异,如预期的那样,较高剂量的辐射会导致最明显的表达变化。Ingenuity Pathway 分析表明,10 Gy 照射 24 小时后,LSECs 的细胞活力通路受到明显抑制,但肝细胞的这一通路却被激活,这突出表明了细胞类型之间的差异,尽管接受的辐射剂量相同。总体而言,肝细胞对辐射反应的基因表达变化较少,7 天时仅有 3 个基因的差异表达具有统计学意义:APOBEC3H、PTCHD4 和 GDNF。我们进一步强调了感兴趣的 lncRNA,包括肝细胞中的 DINO 和 PURPL 以及 LSECs 中的 TMPO-AS1 和 PRC-AS1,从而确定了 RILI 的潜在生物标志物。我们证明了用原代细胞建立人体肝脏芯片模型来模拟器官特异性辐射损伤的潜在用途,为辐射医疗对策的开发和进一步的生物标志物验证建立了模型。此外,我们还确定了区分辐射剂量的生物标志物,并为潜在的辐射缓解疗法确定了细胞特异性靶点。
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
Radiation research
Radiation research 医学-核医学
CiteScore
5.10
自引率
8.80%
发文量
179
审稿时长
1 months
期刊介绍: Radiation Research publishes original articles dealing with radiation effects and related subjects in the areas of physics, chemistry, biology and medicine, including epidemiology and translational research. The term radiation is used in its broadest sense and includes specifically ionizing radiation and ultraviolet, visible and infrared light as well as microwaves, ultrasound and heat. Effects may be physical, chemical or biological. Related subjects include (but are not limited to) dosimetry methods and instrumentation, isotope techniques and studies with chemical agents contributing to the understanding of radiation effects.
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