利用集成的类器官芯片平台,通过血管化和代谢成熟的实时生物传感,确定肝类器官的最佳移植窗口

IF 10.5 1区 生物学 Q1 BIOPHYSICS
Chenwei Sun , Guohua Wu , Di Wu , Lin Wu , Qingrui Lu , Wenqi Hu , Qijun Du , Jiashu Wang , Ao Xie , Mengjiao Xia , Haijie Hu , Bangchuan Hu , Jian Huang , Shuqi Wang
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引用次数: 0

摘要

假设当血管整合与代谢功能高峰相吻合时,肝类器官移植可获得最大的治疗效益。然而,传统的基于端点的评估方法无法实时动态跟踪这些过程,限制了最佳移植窗口的精确确定。为了应对这一挑战,我们开发了一种集成了生物传感器的类器官芯片。该平台可以通过一氧化氮(NO)同时实时监测血管化,通过尿素监测肝脏代谢功能。在受控的血流条件下,集成了生物传感器的类器官芯片显示,血流诱导的机械刺激同步了内皮细胞和肝细胞的成熟。生物传感器集成芯片进一步确定了关键的第5天拐点,与最大生物标志物水平相对应,并确定了最佳移植窗口。在此窗口期移植恢复了肝硬化小鼠约93%的肝功能和小叶结构,而在此窗口期之前或之后移植的移植物的治疗效果降低了50 - 70%。这些发现验证了移植窗口假说,并为基于类器官的再生治疗的质量控制提供了实时、定量的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determining the optimal transplantation window in hepatic organoids via real-time biosensing of vascularization and metabolic maturation utilizing the integrated organoid-on-a-chip platform
Hepatic organoid transplantation is hypothesized to achieve maximal therapeutic benefit when vascular integration coincides with peak metabolic function. However, conventional endpoint-based evaluation methods cannot dynamically track these processes in real time, limiting precise determination of the optimal transplantation window. To address this challenge, we developed a biosensor-integrated organoid-on-a-chip. This platform enables simultaneous, real-time monitoring of vascularization through nitric oxide (NO) and hepatic metabolic function through urea. Under controlled flow conditions, the biosensor-integrated organoid-on-a-chip revealed that flow-induced mechanostimulation synchronizes endothelial and hepatocyte maturation. The biosensors integrated chip further identified a critical day-5 inflection point, corresponding to maximal biomarker levels and defining the optimal transplantation window. Transplantation at this window restored approximately 93 % of liver function and lobular architecture in cirrhotic mice, whereas grafts transplanted before or after this window showed 50–70 % lower therapeutic efficacy. These findings validate the transplantation window hypothesis and provide a real-time, quantitative framework for quality control in organoid-based regenerative therapies.
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来源期刊
Biosensors and Bioelectronics
Biosensors and Bioelectronics 工程技术-电化学
CiteScore
20.80
自引率
7.10%
发文量
1006
审稿时长
29 days
期刊介绍: Biosensors & Bioelectronics, along with its open access companion journal Biosensors & Bioelectronics: X, is the leading international publication in the field of biosensors and bioelectronics. It covers research, design, development, and application of biosensors, which are analytical devices incorporating biological materials with physicochemical transducers. These devices, including sensors, DNA chips, electronic noses, and lab-on-a-chip, produce digital signals proportional to specific analytes. Examples include immunosensors and enzyme-based biosensors, applied in various fields such as medicine, environmental monitoring, and food industry. The journal also focuses on molecular and supramolecular structures for enhancing device performance.
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