Selectively cross-linked hydrogel-based cocktail drug delivery micro-chip for colon cancer combinatorial drug screening using AI-CSR platform for precision medicine†

IF 6.1 2区 工程技术 Q1 BIOCHEMICAL RESEARCH METHODS
Lab on a Chip Pub Date : 2024-08-13 DOI:10.1039/D4LC00520A
Kiran Kaladharan, Chih-Hsuan Ouyang, Hsin-Yu Yang and Fan-Gang Tseng
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引用次数: 0

Abstract

Cancer, ranked as the second leading cause of global mortality with a prevalence of 1 in 6 deaths, necessitates innovative approaches for effective treatment. Combinatorial drug therapy for cancer treatment targets several key pathways simultaneously and potentially enhances anti-cancer efficacy without intolerable side effects. However, it demands precise and accurate control of drug-dose combinations and their release. In this study, we demonstrated a selectively cross-linked hydrogel-based platform that can quantify and release drugs simultaneously for in-parallel cocktail drug screening. PDMS was used as the flow channel substrate and the poly (ethylene glycol) diacrylate (PEGDA) hydrogel array was formed by UV exposure using the photomask. Employing our platform, cocktails of anticancer drugs are precisely loaded and simultaneously released in-parallel into HCT-116 colon cancer cells, facilitating combinatorial drug screening. The integration of an artificial intelligence-based complex system response (AI-CSR) platform successfully identifies optimal drug-dose combinations from a pool of ten approved drugs. Notably, our cocktail drug chip demonstrates exceptional efficiency, screening 155 drug-dose combinations within a brief two and a half hours, a marked improvement over traditional methods. Furthermore, the device exhibits low drug consumption, requiring a mere 1 μL per patch of chip. Thus, our developed PDMS drug-loaded hydrogel platform presents a novel and expedited approach to quantifying drug concentrations, promising to be a faster, efficient and more precise approach for conducting cocktail drug screening experiments.

Abstract Image

基于选择性交联水凝胶的结肠癌鸡尾酒给药微芯片 利用人工智能-CSR 平台进行精准医疗的组合药物筛选
癌症是全球第二大死亡原因,每 6 人中就有 1 人死于癌症,因此必须采用创新方法进行有效治疗。治疗癌症的组合药物疗法同时针对几种关键途径,有可能提高抗癌疗效,且不会产生难以忍受的副作用。然而,这要求对药物剂量组合及其释放进行精确和准确的控制。在本研究中,我们展示了一种基于选择性交联水凝胶的平台,该平台可同时量化和释放药物,用于平行鸡尾酒药物筛选。使用 PDMS 作为流道基底,使用光罩通过紫外线曝光形成聚(乙二醇)二丙烯酸酯(PEGDA)水凝胶阵列。利用我们的平台,鸡尾酒抗癌药物被精确装载并同时释放到 HCT-116 结肠癌细胞中,从而促进了组合药物筛选。通过整合基于人工智能的复杂系统响应(AI-CSR)平台,我们成功地从十种获批药物中找出了最佳药物剂量组合。值得注意的是,我们的鸡尾酒药物芯片效率极高,在短短两个半小时内就筛选出了 155 种药物剂量组合,比传统方法有了显著改进。此外,该装置耗药量低,每个芯片贴片仅需 1 µL。因此,我们开发的 PDMS 药物负载水凝胶平台提供了一种新颖、快速的药物浓度量化方法,有望成为一种更快、更高效、更精确的鸡尾酒药物筛选实验方法。
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
Lab on a Chip
Lab on a Chip 工程技术-化学综合
CiteScore
11.10
自引率
8.20%
发文量
434
审稿时长
2.6 months
期刊介绍: Lab on a Chip is the premiere journal that publishes cutting-edge research in the field of miniaturization. By their very nature, microfluidic/nanofluidic/miniaturized systems are at the intersection of disciplines, spanning fundamental research to high-end application, which is reflected by the broad readership of the journal. Lab on a Chip publishes two types of papers on original research: full-length research papers and communications. Papers should demonstrate innovations, which can come from technical advancements or applications addressing pressing needs in globally important areas. The journal also publishes Comments, Reviews, and Perspectives.
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