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基于纸的比色微器件与磁性纳米颗粒亲和力的集成,用于从复杂天然产物中高通量捕获抗菌抗性逆转剂。

Integration of paper-based colorimetric microdevice and magnetic nanoparticles affinity for high-throughput capture of antimicrobial resistance-reversing agent from complex natural products.

作者信息

Fan Xiaoxuan, Zhang Shuxian, Liu Keshuai, Wang Xiaofei, Yuan Hui, Lv Zhiping, Ma Lijuan, Ma Xueqin, Zhang Xia, Chen Guoning

机构信息

Department of Pharmaceutical Analysis, School of Pharmacy, Key Laboratory of Protection, Development and Utilization of Medicinal Resources in Liupanshan Area, Ministry of Education, Ningxia Medical University, Yinchuan, 750004, China.

Department General Thoracic Surgery, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750001, China.

出版信息

Biosens Bioelectron. 2025 Mar 15;272:117107. doi: 10.1016/j.bios.2024.117107. Epub 2024 Dec 27.

Abstract

Efficient analysis of active ingredient in complex natural products is crucial for drug discovery, but developing a simple method for this is challenging. The discovery of drugs against bacterial resistance is urgent because drug-resistant bacteria produce β-lactamases, which inactivate antibiotics and increase infection risks, particularly the AmpC β-lactamase. Here, an integrated analytical model based on colorimetric sensing and magnetic nanoparticles (MNPs) affinity chromatography was developed for screening AmpC β-lactamase inhibitors. A paper-based colorimetric microdevice was designed for rapid identification of inhibitors in complex samples. Magnetic nanoparticles affinity was then utilized to capture, isolate and identify the active ingredient by immobilized enzyme technology. This comprehensive analytical model greatly improves the efficiency and accuracy of inhibitor screening compared to other screening methods. Finally, the method was applied to screen AmpC β-lactamase activity inhibitors from five natural medicines. As a result, epicatechin gallate, a potential active component of AmpC β-lactamase, was successfully identified from Rhodiola rosea L. After thorough integration with in vitro antibacterial assays, the activity of the screened compounds was further substantiated. Their binding was further explored by molecular docking and molecular dynamics simulations. Consequently, potential AmpC β-lactamase inhibitors are rapidly and precisely captured from complex natural products by this method, which will offer novel insights into the screening of enzyme inhibitors within natural products.

摘要

对复杂天然产物中的活性成分进行高效分析对于药物发现至关重要,但开发一种简单的方法具有挑战性。对抗细菌耐药性的药物发现迫在眉睫,因为耐药细菌会产生β-内酰胺酶,使抗生素失活并增加感染风险,尤其是AmpCβ-内酰胺酶。在此,开发了一种基于比色传感和磁性纳米颗粒(MNPs)亲和色谱的集成分析模型,用于筛选AmpCβ-内酰胺酶抑制剂。设计了一种基于纸的比色微器件,用于快速鉴定复杂样品中的抑制剂。然后利用磁性纳米颗粒亲和力,通过固定化酶技术捕获、分离和鉴定活性成分。与其他筛选方法相比,这种综合分析模型大大提高了抑制剂筛选的效率和准确性。最后,该方法应用于从五种天然药物中筛选AmpCβ-内酰胺酶活性抑制剂。结果,从红景天中成功鉴定出AmpCβ-内酰胺酶的潜在活性成分表儿茶素没食子酸酯。与体外抗菌试验充分整合后,进一步证实了所筛选化合物的活性。通过分子对接和分子动力学模拟进一步探索了它们的结合情况。因此,该方法能够从复杂天然产物中快速、准确地捕获潜在的AmpCβ-内酰胺酶抑制剂,这将为天然产物中酶抑制剂的筛选提供新的见解。

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