Rapid screening and identification of influenza virus polymerase inhibitors from Rubus idaeus L. by at-line nanofractionation

IF 3.6
Journal of chromatography open Pub Date : 2025-11-01 Epub Date: 2025-10-31 DOI:10.1016/j.jcoa.2025.100278
Zhixu Chen , Rongkai Gu , Mingming Zhao , Kefeng Linghu , Huanwei Fan , Tingting Zhang , Jincai Wang , Zhengjin Jiang
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Abstract

The N-terminal region of the polymerase subunit (PAN) is considered as the most promising target for the development of broad-spectrum antivirals, since it is highly conserved in structure and sequences among different influenza strains. In this study, a PAN based at-line nanofractionation (ANF) platform was applied to rapidly screen for PAN inhibitors from Rubus idaeus L. extract which presented good inhibitory effect on PAN with a half maximal inhibitory concentration (IC50) value of 11 μg/mL. Eight PAN inhibitors were successfully screened out, comprising four organic acids and four flavones. In parallel, magnetic ligand fishing was used to isolate the PAN ligands from the extract, and finally four compounds were fished out and considered as PAN ligands (including avicularin, quercetin-3-O-rutinoside, ellagic acid and luteoloside) which were also identified by the ANF platform. Among them, ellagic acid and luteoloside displayed satisfactory in vitro inhibitory activity against PAN, with IC50 values of 1.31 ± 0.33 and 6.23 ± 0.97 μM, respectively. The molecular docking and dynamic simulations revealed that ellagic acid and luteoloside bind to PAN in a distinctly different mode compared to baloxavir. These compounds formed direct interactions with catalytic pocket residues and adjacent amino acids in PAN, establishing hydrogen bonds and water-mediated bridges that modulated the protein's secondary structure and stability. The result from the study suggests that ellagic acid and luteoloside could serve as promising anti-influenza molecules. Furthermore, the ANF platform was proved effective for high-throughput screening of PAN inhibitors from complex herbal extracts, highlighting its significant potential for future anti-influenza drug development.

Abstract Image

在线纳米分离快速筛选和鉴定小蠊流感病毒聚合酶抑制剂
聚合酶亚基(PAN)的n端区域在不同的流感病毒株中具有高度保守的结构和序列,被认为是开发广谱抗病毒药物最有希望的靶点。本研究采用基于PAN的在线纳米分离(ANF)平台,快速筛选出对PAN有良好抑制作用的小红草提取物的PAN抑制剂,其半数最大抑制浓度(IC50)为11 μg/mL。成功筛选出8种PAN抑制剂,包括4种有机酸和4种黄酮。同时采用磁性配体捞取法从提取物中分离出PAN配体,最终捞出4个化合物(分别为木蒜素、槲皮素-3- o -芦丁苷、鞣花酸和木黄素苷),并经ANF平台鉴定为PAN配体。其中鞣花酸和木犀草苷对PAN的体外抑制活性较好,IC50值分别为1.31±0.33 μM和6.23±0.97 μM。分子对接和动力学模拟表明,鞣花酸和木犀草苷与PAN的结合模式与巴洛韦明显不同。这些化合物与PAN中的催化袋残基和邻近氨基酸形成直接相互作用,建立氢键和水介导的桥,调节蛋白质的二级结构和稳定性。研究结果表明鞣花酸和木犀草苷可以作为有前途的抗流感分子。此外,ANF平台被证明对复杂草药提取物中PAN抑制剂的高通量筛选是有效的,这突出了其在未来抗流感药物开发中的巨大潜力。
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来源期刊
Journal of chromatography open
Journal of chromatography open Analytical Chemistry
CiteScore
2.50
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50 days
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