通过炎症和昼夜节律信号通路实现动态生物药物递送的双响应合成基因电路。

Dual-responsive synthetic gene circuit for dynamic biologic drug delivery via inflammatory and circadian signaling pathways.

作者信息

Cimino Amanda, Pat Fiona, Oyebamiji Omolabake, Pham Christine T N, Herzog Erik D, Guilak Farshid

机构信息

Department of Orthopedic Surgery, Washington University School of Medicine, St. Louis, MO, 63110, USA.

Shriners Hospitals for Children - Saint Louis, St. Louis, MO, 63110, USA.

出版信息

J Biol Eng. 2025 May 19;19(1):47. doi: 10.1186/s13036-025-00519-7.

Abstract

BACKGROUND

Engineered cells provide versatile tools for precise, tunable drug delivery, especially when synthetic stimulus-responsive gene circuits are incorporated. In many complex disease conditions, endogenous pathologic signals such as inflammation can vary dynamically over different time scales. For example, in autoimmune conditions such as rheumatoid arthritis or juvenile idiopathic arthritis, local (joint) and systemic inflammatory signals fluctuate daily, peaking in the early morning, but can also persist over long periods of time, triggering flare-ups that can last weeks to months. However, treatment with disease-modifying anti-rheumatic drugs is typically provided at continuous high doses, regardless of disease activity and without consideration for levels of inflammatory signals. In previous studies, we have developed cell-based drug delivery systems that can automatically address the different scales of flares using either chronogenetic circuits (i.e., clock gene-responsive elements) that can be tuned for optimal drug delivery to dampen circadian variations in inflammatory levels or inflammation-responsive circuits (i.e., NF-κB-sensitive elements) that can respond to sustained arthritis flares on demand with proportional synthesis of drug. The goal of this study was to develop a novel dual-responsive synthetic gene circuit that responds to both circadian and inflammatory inputs using OR-gate logic for both daily timed therapeutic output and enhanced therapeutic output during chronic inflammatory conditions.

RESULTS

We developed a synthetic gene circuit driven by tandem inflammatory NF-κB and circadian E'-box response elements. When engineered into induced pluripotent stem cells that were chondrogenically differentiated, the gene circuit demonstrated basal-level circadian output with enhanced stimulus-responsive output during an inflammatory challenge shown by bioluminescence monitoring. Similarly, this system exhibited enhanced therapeutic levels of biologic drug interleukin-1 receptor antagonist (IL-1Ra) during an inflammatory challenge in differentiated cartilage pellets. This dual-responsive therapeutic gene circuit mitigated both the inflammatory response as measured by bioluminescence reporter output and tissue-level degradation during conditions mimicking an arthritic flare.

CONCLUSIONS

The dual-responsive synthetic gene circuit developed herein responds to input cues from two key homeostatic transcriptional networks, enabling dynamic and tunable output. This proof-of-concept approach has the potential to match drug delivery to disease activity for optimal outcomes that addresses the complex environment of inflammatory arthritis.

摘要

背景

工程细胞为精确、可调的药物递送提供了多功能工具,特别是当整合了合成刺激响应基因电路时。在许多复杂疾病情况下,内源性病理信号(如炎症)可在不同时间尺度上动态变化。例如,在类风湿性关节炎或幼年特发性关节炎等自身免疫性疾病中,局部(关节)和全身炎症信号每天波动,在清晨达到峰值,但也可长期持续,引发可持续数周甚至数月的病情发作。然而,改善病情抗风湿药物的治疗通常以持续高剂量进行,而不考虑疾病活动情况,也不考虑炎症信号水平。在先前的研究中,我们开发了基于细胞的药物递送系统,该系统可以使用时间发生电路(即时钟基因响应元件)自动应对不同程度的病情发作,这些元件可进行调节以实现最佳药物递送,从而减轻炎症水平的昼夜变化;或者使用炎症响应电路(即NF-κB敏感元件),该电路可以根据需要通过药物的比例合成来响应持续性关节炎发作。本研究的目的是开发一种新型双响应合成基因电路,该电路使用或门逻辑对昼夜节律和炎症输入作出响应,以实现每日定时治疗输出以及在慢性炎症条件下增强治疗输出。

结果

我们开发了一种由串联炎症NF-κB和昼夜节律E'-盒响应元件驱动的合成基因电路。当将其构建到经软骨分化的诱导多能干细胞中时,通过生物发光监测显示,该基因电路在炎症刺激期间表现出基础水平的昼夜节律输出以及增强的刺激响应输出。同样,在分化的软骨微丸的炎症刺激期间,该系统表现出生物药物白细胞介素-1受体拮抗剂(IL-1Ra)的治疗水平增强。这种双响应治疗基因电路减轻了通过生物发光报告基因输出测量的炎症反应以及在模拟关节炎发作的条件下的组织水平降解。

结论

本文开发的双响应合成基因电路对来自两个关键稳态转录网络的输入信号作出响应,实现动态和可调输出。这种概念验证方法有可能使药物递送与疾病活动相匹配,以获得最佳结果,从而应对炎症性关节炎的复杂环境。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b324/12090394/61ca47c73913/13036_2025_519_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索