Construction of a clickable probe-based protein chip platform for discovering covalent mIDH1 inhibitors from natural medicinal extracts

IF 44.4 Q1 MICROBIOLOGY
iMeta Pub Date : 2026-03-20 Epub Date: 2026-02-12 DOI:10.1002/imt2.70107
Zhao Cui, Jiameng Li, Caifeng Li, Mo Sun, Wei Liu, Xuxia Cao, Shiwen Deng, Junxian Cao, Hongjun Yang, Peng Chen
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Abstract

The early discovery of covalent drugs is frequently inspired by, or derived from, natural sources, with such compounds often showing favorable safety profiles and a comparatively lower risk of clinical failure. However, a straightforward, high-throughput technique for screening covalent-binding molecules directly from complex medicinal plant extracts remains unavailable. In this study, we introduce an integrated strategy that combines protein microarrays with bioorthogonal click chemistry (Ccc-Chip). This platform includes a differential scanning fluorimetry (DSF)-based pre-screening step to enhance efficiency, with the Ccc-Chip serving as the core confirmation tool. It provides simple and intuitive readouts, enabling synchronous, high-throughput screening of covalent ligands targeting multiple proteins through detection of their competitive binding with cysteine-reactive probes. To validate the approach, we constructed a mutant isocitrate dehydrogenase 1 (mIDH1) protein microarray and used the integrated workflow to screen 110 medicinal plants. Our results led to the identification of flavokawain C (Flc), a covalent inhibitor of mIDH1, from Piper methysticum Forst. Subsequent in vivo experiments showed that Flc significantly reduced 2-hydroxyglutarate (2-HG) levels in an mIDH1-driven orthotopic tumor model and enhanced CD8⁺ T cell activity. Notably, when combined with a programmed cell death protein 1 (PD-1) blocking antibody, Flc synergistically augmented antitumor immunity, resulting in suppressed tumor growth. This work not only supports the high-throughput utility of the Ccc-Chip strategy but also provides a practical framework for combining bioorthogonal labeling with protein microarray technology, facilitating the discovery of bioactive covalent molecules from plant sources for challenging therapeutic targets.

Abstract Image

构建可点击探针蛋白芯片平台,用于从天然药物提取物中发现共价mIDH1抑制剂
早期发现的共价药物往往是受到自然来源的启发或从自然来源衍生出来的,这些化合物通常显示出良好的安全性和相对较低的临床失败风险。然而,一种直接从复杂药用植物提取物中筛选共价结合分子的简单、高通量技术仍然没有。在这项研究中,我们介绍了一种将蛋白质微阵列与生物正交点击化学(cc- chip)相结合的集成策略。该平台包括一个基于差示扫描荧光法(DSF)的预筛选步骤,以提高效率,cc- chip作为核心确认工具。它提供简单直观的读数,通过检测它们与半胱氨酸反应性探针的竞争结合,实现针对多种蛋白质的共价配体的同步、高通量筛选。为了验证该方法,我们构建了突变型异柠檬酸脱氢酶1 (mIDH1)蛋白微阵列,并使用集成工作流程筛选了110种药用植物。我们的研究结果鉴定出了来自Piper methysticum Forst的mIDH1共价抑制剂flavokawain C (Flc)。随后的体内实验表明,Flc可显著降低midh1驱动的原位肿瘤模型中2-羟戊二酸(2-HG)水平,并增强CD8 + T细胞活性。值得注意的是,当与程序性细胞死亡蛋白1 (PD-1)阻断抗体联合使用时,Flc协同增强抗肿瘤免疫,从而抑制肿瘤生长。这项工作不仅支持了cc- chip策略的高通量效用,而且为将生物正交标记与蛋白质微阵列技术相结合提供了一个实用的框架,促进了从植物来源发现具有挑战性的治疗靶点的生物活性共价分子。
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
CiteScore
10.80
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0.00%
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