Multimeric Peptide Copolymer Formulations for Targeted Drug Delivery to Treat Nervous System Disorders

用于治疗神经系统疾病的靶向药物递送的多聚肽共聚物制剂

基本信息

批准号：
10617204
负责人：
Drew L Sellers
金额：
$ 36.54万
依托单位：
UNIVERSITY OF WASHINGTON
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-06-15 至 2025-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10617204
关键词：
Acceleration Affinity Age Aging Amino Acid Substitution Amino Acids Amyotrophic Lateral Sclerosis Antibodies Autonomic Dysfunction Autonomic nervous system Avidin Avidity Bacteriophages Binding Binding Proteins Biodistribution Biological Biological Availability Biological Products Blood Blood - brain barrier anatomy Brain Brain-Derived Neurotrophic Factor Catalogs Cells Central Nervous System Central Nervous System Agents Central Nervous System Diseases Cessation of life Clinic Coupled Custom Cyclization Data Development Diagnosis Digestion Disease Disease Progression Dose Drug Delivery Systems Drug Modelings Drug Targeting Endothelium Engineering Equus caballus Formulation Gel Goals Histologic Homologous Gene Human In Vitro Individual Intramuscular Injections Intraperitoneal Injections Ligands Mass Spectrum Analysis Mediating Metabolism Methodology Methods Modeling Modification Molecular Structure Monitor Motor Neurons Mus Muscular Atrophy Nerve Degeneration Nerve Growth Factors Neuromuscular Diseases Neurons Organ Pathway interactions Patients Penetrance Peptide Hydrolases Peptide Synthesis Peptides Peripheral Persons Pharmaceutical Preparations Polymers Preclinical Testing Proteins Rabies virus Research Resistance Serum Spinal Cord Structure Therapeutic Tissues Toxic effect Translating Translations United States Virus Diseases aged amyotrophic lateral sclerosis therapy blood-brain barrier disruption clinical translation copolymer design glial cell-line derived neurotrophic factor improved in vivo induced pluripotent stem cell lipophilicity macromolecule mouse model nervous system disorder neural neurotrophic factor new technology next generation sequencing non-invasive system novel novel therapeutics peptide structure polymerization pre-clinical research premature receptor receptor binding scaffold sciatic nerve side effect success systemic barrier targeted delivery targeted treatment therapeutic development therapeutically effective transcytosis translational therapeutics uptake

项目摘要

Multimeric Peptide Copolymer Formulations for Targeted Drug Delivery to Treat Nervous System Disorders Amyotrophic lateral sclerosis (ALS) is a devastating neuromuscular disease that leads to progressive muscle wasting, autonomic dysfunction and death within 5 years of diagnosis, and each year >16,000 people are diagnosed. As research has made tremendous strides in understanding the cellular mechanisms that underlie disease progression, pre-clinical research has demonstrated the potential of nerve growth factor (NGF), glial derived and neural derived neurotrophic factor (GDNF and BDNF), and targeted biologics to halt disease progression. However, the clinical translation of therapeutics to treat ALS and other nervous system disorders has lagged due to complications associated with systemic administration or transient blood-brain barrier damage. By using a bacteriophage biopanning strategy to perform an affinity based screen, we aim to exploit a CNS entry pathway similar to rabies virus infection to circumvent the barriers of systemic delivery and target therapeutics to neurons directly. Thus, we propose to identify novel targeting peptides and biologics delivery strategies to treat nervous system diseases. By using a bacteriophage biopanning strategy to perform an affinity based screen, we have recently identified a peptide motif, TAxI, that mediates uptake and delivery of a biologically active protein to the CNS after intramuscular injection. Here, we demonstrate the ability of CNS targeting-peptides to deliver a model drug into the CNS after IP injection. We propose to evaluate how aging and disease progression impacts targeted drug delivery to the CNS with the goal of designing and synthesizing materials for pre-clinical testing in a model of ALS. In this proposal, we build upon TAxI by developing copolymer materials and a human TAxI-peptide for translatable CNS delivery formulations to deliver biologics into the diseased CNS non- invasively.

用于治疗的靶向药物的多聚肽共聚合制剂神经系统疾病肌萎缩性外侧硬化症（ALS）是一种毁灭性的神经肌肉疾病，导致渐进的肌肉浪费，自主神经功能障碍和死亡在5年内诊断，每年> 16,000人被诊断。随着研究的发展在理解疾病基础的细胞机制方面的巨大进展进展，临床前研究证明了神经生长因子的潜力（NGF），神经胶质和神经衍生的神经营养因子（GDNF和BDNF），以及有针对性的生物制剂阻止疾病进展。但是，由于治疗ALS和其他神经系统疾病的治疗剂与全身给药或瞬时血脑屏障相关的并发症损害。通过使用噬菌体生物扫描策略来执行基于亲和力屏幕，我们旨在利用类似于狂犬病病毒感染的CNS进入途径直接将全身性传递的障碍和靶向治疗剂直接靶向神经元。因此，我们建议确定新颖的靶向肽和生物制剂交付策略治疗神经系统疾病。通过使用噬菌体生物封装策略来执行一个基于亲和力的屏幕，我们最近确定了一个肽图案，即介导的肽图案肌肉内摄取和递送生物活性蛋白向中枢神经系统注射。在这里，我们证明了CNS靶向肽提供模型的能力注射IP后，药物进入中枢神经系统。我们建议评估衰老和疾病如何进展会影响针对中枢神经系统的药物的目标，以设计和在ALS模型中合成用于临床前测试的材料。在这个建议中，我们通过开发共聚物材料和人类的出租车肽来建立出租车可翻译的中枢神经系统递送配方将生物制剂递送到患病的CNS非 - 侵入性。

项目成果

期刊论文数量（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Synthesis and characterization of anionic poly(cyclopentadienylene vinylene) and its use in conductive hydrogels.

DOI：
10.1002/anie.202004098
发表时间：
2020-05
期刊：
Angewandte Chemie
影响因子：
0
作者：
Daniel C. Lee;D. Sellers;Fan Liu;Andrew J Boydston;S. Pun
通讯作者：
Daniel C. Lee;D. Sellers;Fan Liu;Andrew J Boydston;S. Pun

TAxI-peptide targeted Cas12a ribonuclease protein nanoformulations increase genome editing in hippocampal neurons.

DOI：
10.1016/j.jconrel.2022.12.057
发表时间：
2022-12
期刊：
Journal of controlled release : official journal of the Controlled Release Society
影响因子：
0
作者：
D. Sellers;Kunwoo Lee;N. Murthy;S. Pun
通讯作者：
D. Sellers;Kunwoo Lee;N. Murthy;S. Pun

Discovery and Characterization of Spike N-Terminal Domain-Binding Aptamers for Rapid SARS-CoV-2 Detection.

DOI：
10.1002/anie.202107730
发表时间：
2021-09-20
期刊：
Angewandte Chemie (International ed. in English)
影响因子：
0
作者：
Kacherovsky N;Yang LF;Dang HV;Cheng EL;Cardle II;Walls AC;McCallum M;Sellers DL;DiMaio F;Salipante SJ;Corti D;Veesler D;Pun SH
通讯作者：
Pun SH

Optimized serum stability and specificity of an αvβ6 integrin-binding peptide for tumor targeting.

优化了用于肿瘤靶向的 αvβ6 整合素结合肽的血清稳定性和特异性。