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一种单结构域VNAR纳米抗体与肝素五糖磺达肝癸钠具有高亲和力和选择性结合。

A Single-Domain VNAR Nanobody Binds with High-Affinity and Selectivity to the Heparin Pentasaccharide Fondaparinux.

作者信息

Gschwandtner Martha, Derler Rupert, Talker Elisa, Trojacher Christina, Gubensäk Nina, Becker Walter, Gerlza Tanja, Klaus Zangger, Stocki Pawel, Walsh Frank S, Rutkowski Julia Lynn, Kungl Andreas

机构信息

Institute of Pharmaceutical Sciences, Karl-Franzens-University Graz, Universitätsplatz 1, A-8010 Graz, Austria.

Institute of Chemistry, Karl-Franzens-University Graz, Heinrichstraße 28, A-8010 Graz, Austria.

出版信息

Int J Mol Sci. 2025 Apr 24;26(9):4045. doi: 10.3390/ijms26094045.

Abstract

Glycosaminoglycans (GAGs) are key ligands for proteins involved in physiological and pathological processes. Specific GAG-binding patterns are rarely identified, with the heparin pentasaccharide as an Antithrombin-III ligand being the best characterized. Generating glycan-specific antibodies is difficult due to their size, pattern dispersion, and flexibility. Single-domain variable new antigen receptors (VNAR nanobodies) from nurse sharks are highly soluble, stable, and versatile. Their unique properties suggest advantages over conventional antibodies, particularly for challenging biotherapeutic targets. Here we have used VNAR semi-synthetic phage libraries to select high-affinity fondaparinux-binding VNARs that did not show cross-reactivity with other GAG species. Competition ELISA and surface plasmon resonance identified a single fondaparinux-selective VNAR clone. This VNAR exhibited an extraordinarily stable protein fold: the beta-strands are stabilized by a robust hydrophobic network, as revealed by heteronuclear NMR. Docking fondaparinux to the VNAR structure revealed a large contact surface area between the CDR3 loop of the antibody and the glycan. Fusing the VNAR with a human Fc domain resulted in a stable product with a high affinity for fondaparinux (Kd = 9.3 × 10 M) that could efficiently discriminate between fondaparinux and other glycosaminoglycans. This novel glycan-targeting screening technology represents a promising therapeutic strategy for addressing GAG-related diseases.

摘要

糖胺聚糖(GAGs)是参与生理和病理过程的蛋白质的关键配体。特定的GAG结合模式很少被识别,以抗凝血酶III配体肝素五糖为特征最为明确。由于其大小、模式分散性和灵活性,生成聚糖特异性抗体很困难。护士鲨的单域可变新抗原受体(VNAR纳米抗体)具有高度可溶性、稳定性和通用性。它们的独特性质表明比传统抗体具有优势,特别是对于具有挑战性的生物治疗靶点。在这里,我们使用VNAR半合成噬菌体文库来筛选与磺达肝癸钠具有高亲和力且不与其他GAG种类发生交叉反应的VNAR。竞争酶联免疫吸附测定(ELISA)和表面等离子体共振鉴定出一个磺达肝癸钠选择性VNAR克隆。该VNAR表现出异常稳定的蛋白质折叠:如通过异核核磁共振所揭示的,β链由强大的疏水网络稳定。将磺达肝癸钠对接至VNAR结构显示抗体的互补决定区3(CDR3)环与聚糖之间有很大的接触表面积。将VNAR与人Fc结构域融合产生了一种对磺达肝癸钠具有高亲和力(解离常数Kd = 9.3×10⁻⁹M)的稳定产物,该产物能够有效区分磺达肝癸钠和其他糖胺聚糖。这种新型的聚糖靶向筛选技术代表了一种有前景的治疗策略,用于解决与GAG相关的疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00ab/12071740/fafa4ccc6cf0/ijms-26-04045-g001.jpg

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