PO.ET02.05 · 实验与分子治疗

设计一种针对GRP的合成非天然抗体(NoNabody)作为小细胞肺癌的新疗法

Design of a synthetic non-natural antibody (NoNabody) against GRP as a new therapy for small cell lung cancer

海报缩略图:设计一种针对GRP的合成非天然抗体(NoNabody)作为小细胞肺癌的新疗法
编号 1660 展板 19 时间 4/20 09:00–12:00 区域 Section 11 主讲 Pablo Garrido Rodriquez, BS;MS
分会场 Antibody Technologies and Platforms 1
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作者与单位 Authors & Affiliations

Pablo Garrido Rodriquez1, Jahaziel Gasperin Bulbarela2, Alexei Fedorovish Licea Navarro2, Alfredo Martínez3

1Centro de Investigación Biomédica de La Rioja (CIBIR), Logroño, Spain,2Biomedical Innovation Department, Centro de Investigación Científica y Educación Superior (CICESE), Ensenada, Mexico,3Angiogenesis Group, Oncology Area, Center for Biomedical Research of La Rioja (CIBIR), Logroño, Spain

摘要 Abstract

中文摘要
(a)说明研究目的的引言:胃泌素释放肽(GRP)已被描述为小细胞肺癌(SCLC)的一种自分泌生长因子,使用针对GRP的单克隆抗体(MoAb)在动物模型中被证明可减少肿瘤生长,并在一项2期临床试验中呈现出积极的结果。在此,我们旨在开发一种合成非天然抗体(NoNabody),作为SCLC潜在的新治疗工具。 (b)相关实验步骤的简要描述:获得针对GRP的NoNabody的第一步是研究一种表征充分的抗GRP MoAb与该肽本身之间的相互作用。在获得可变结合区序列后,使用ColabFold预测抗体结构,并使用VMD结合NAMD分析抗体-肽相互作用。 (c)新的、未发表数据的总结:对抗GRP抗体与该肽相互作用的计算机模拟评估确定了GRP的最后七个残基(包括末端酰胺基)是抗体的主要靶点。在所有分子动力学模拟过程中,MoAb在结构上保持稳定,而全长GRP肽则表现出有限的稳定性。相反,仅用该肽最后10个或7个氨基酸进行的模拟显示出更高的稳定性。对酰胺化肽与游离酸肽同MoAb相互作用的比较显示,酰胺化极大地增强了抗体对GRP的亲和力。对抗体-肽界面的分析显示,相互作用分布于重链和轻链之间,GRP恰好位于两者之间。CDR3(轻链)与GRP的最后三个残基相互作用,而CDR1和CDR2(重链)与第16-22位残基相互作用。 (d)结论陈述:NoNanobodies代表了一种在体外和体内研究中运用抗体的新工具。本工作聚焦于生成一种针对GRP的NoNanobody。初步计算机分析表明,抗体-肽结合发生于C端氨基酸,且当GRP被酰胺化时这种相互作用得到加强。这一信息对于开发针对GRP的新型合成结合基团至关重要,这些结合基团凭借其小尺寸、更强的组织穿透性以及对小型合成形式的低免疫反应,可能改善药物性能。 本工作得到拉里奥哈政府科学与创新体系的支持(25658-2025/0000000016)。
查看英文原文 English abstract
(a) An introductory sentence indicating the purposes of the study; Gastrin-releasing peptide (GRP) has been described as an autocrine growth factor for small cell lung carcinoma (SCLC) and the use of a monoclonal antibody (MoAb) against GRP was shown to reduce tumor growth in animal models and had a positive profile in a phase 2 clinical trial. Here we aim to develop a synthetic non-natural antibody (NoNabody) as a potential new therapeutic tool for SCLC. (b) A brief description of pertinent experimental procedures; The first step to obtain a NoNabody against GRP was to study the interaction between a well-characterized anti-GRP MoAb and the peptide itself. After obtaining the sequence of the variable binding region, ColabFold was used to predict the antibody structure and VMD, together with NAMD, were used to analyze the antibody-peptide interaction. (c) A summary of the new, unpublished data; An in silico evaluation of the interaction between the anti-GRP antibody and the peptide identified the last seven residues of GRP, including the terminal amide group, as the main target of the antibody.Throughout all the molecular dynamics simulations, the MoAb remained structurally stable, whereas the full-length GRP peptide exhibited limited stability. In contrast, simulations performed with only the last 10 or 7 amino acids of the peptide showed increased stability.A comparison of the interactions between the amidated versus the free-acid peptide with the MoAb showed that amidation greatly enhances the antibody's affinity for GRP.Analysis of the antibody-peptide interface revealed that the interaction is distributed between the heavy and light chains, with GRP positioned right in between them. CDR3 (light chain) interacts with the last three residues of GRP, whereas CDR1 and CDR2 (heavy chain) interact with residues 16-22. (d) A statement of the conclusions; NoNanobodies represent a new tool for employing antibodies in in vitro and in vivo studies. This work focuses on generating a NoNanobody against GRP. An initial in silico analysis showed that antibody-peptide binding occurs at the C-terminal amino acids and that this interaction is strengthened when GRP is amidated. This information is critical for developing new synthetic binding moieties against GRP that may improve drug performance through their small size, improved tissue penetrability and low immune responses to the small synthetic forms. This work was supported by the Science and Innovation System of the Government of La Rioja (25658-2025/0000000016).
利益披露 Disclosure
P. Garrido Rodriquez, None.. J. Gasperin Bulbarela, None.. A. Fedorovish Licea Navarro, None.. A. Martínez, None.

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