Evaluation of 18F labeled glial fibrillary acidic protein binding nanobody and its brain shuttle peptide fusion proteins using a neuroinflammation rat model

被引:2
|
作者
Morito, Takahiro [1 ,2 ,6 ]
Harada, Ryuichi [2 ,3 ]
Iwata, Ren [4 ]
Ishikawa, Yoichi [4 ]
Okamura, Nobuyuki [5 ]
Kudo, Yukitsuka [3 ]
Furumoto, Shozo [4 ]
Yanai, Kazuhiko [1 ,2 ]
Tashiro, Manabu [1 ]
机构
[1] Tohoku Univ, Div Cyclotron Nucl Med, Grad Sch Med, Sendai, Miyagi, Japan
[2] Tohoku Univ, Dept Pharmacol, Grad Sch Med, Sendai, Miyagi, Japan
[3] Tohoku Univ, Inst Dev Aging & Canc, Sendai, Miyagi, Japan
[4] Tohoku Univ, Cyclotron & Radioisotope Ctr, Div Radiopharmaceut Chem, Sendai, Miyagi, Japan
[5] Tohoku Med & Pharmaceut Univ, Fac Med, Div Pharmacol, Sendai, Miyagi, Japan
[6] RIKEN Ctr Brain Sci, Lab Proteolyt Neurosci, Wako, Saitama, Japan
来源
PLOS ONE | 2023年 / 18卷 / 06期
关键词
LYSOSOMAL-ENZYME; ASTROCYTES; DELIVERY; DOMAIN; VHH;
D O I
10.1371/journal.pone.0287047
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Astrogliosis is a crucial feature of neuroinflammation and is characterized by the significant upregulation of glial fibrillary acidic protein (GFAP) expression. Hence, visualizing GFAP in the living brain of patients with damaged central nervous system using positron emission tomography (PET) is of great importance, and it is expected to depict neuroinflammation more directly than existing neuroinflammation imaging markers. However, no PET radiotracers for GFAP are currently available. Therefore, neuroimaging with antibody-like affinity proteins could be a viable strategy for visualizing imaging targets that small molecules rarely recognize, such as GFAP, while we need to overcome the challenges of slow clearance and low brain permeability. The E9 nanobody, a small-affinity protein with high affinity and selectivity for GFAP, was utilized in this study. E9 was engineered by fusing a brain shuttle peptide that facilitates blood-brain barrier permeation via two different types of linker domains: E9-GS-ApoE (EGA) and E9-EAK-ApoE (EEA). E9, EGA and EEA were radiolabeled with fluorine-18 using cell-free protein radiosynthesis. In vitro autoradiography showed that all radiolabeled proteins exhibited a significant difference in neuroinflammation in the brain sections created from a rat model constructed by injecting lipopolysaccharide (LPS) into the unilateral striatum of wildtype rats, and an excess competitor displaced their binding. However, exploratory in vivo PET imaging and ex vivo biodistribution studies in the rat model failed to distinguish neuroinflammatory lesions within 3 h of F-18-EEA intravenous injection. This study contributes to a better understanding of the characteristics of small-affinity proteins fused with a brain shuttle peptide for further research into the use of protein molecules as PET tracers for imaging neuropathology.
引用
收藏
页数:17
相关论文
共 3 条
  • [1] Detection of cytotoxic activation of microglia in a rat neuroinflammation model using a novel translocator protein ligand, [18F]FEPPA
    Nomura, Masahiko
    Toyama, Hiroshi
    Suzuki, Hiromi
    Yamada, Takashi
    Ota, Seiichiro
    Ichise, Masanori
    Wilson, Alan
    Sawada, Makoto
    Ito, Kengo
    Hatano, Kentaro
    [J]. JOURNAL OF NUCLEAR MEDICINE, 2012, 53
  • [2] Synthesis of deuterium-substituted [18F] fluoromethyl-PBR28 and its initial PET evaluation compared with [18F] fluoromethyl-PBR28 in a rat model of neuroinflammation
    Moon, Byung Seok
    Jung, Jae Ho
    Park, Hyun Soo
    Contino, Marialessandra
    Denora, Nunzio
    Lee, Byung Chul
    Kim, Sang Eun
    [J]. JOURNAL OF LABELLED COMPOUNDS & RADIOPHARMACEUTICALS, 2015, 58 : S246 - S246
  • [3] Evaluation of exercise-induced modulation of glial activation and dopaminergic damage in a rat model of Parkinson's disease using [11C]PBR28 and [18F]FDOPA PET
    Real, Caroline C.
    Doorduin, Janine
    Feltes, Paula Kopschina
    Garcia, David Vallez
    Faria, Daniele de Paula
    Britto, Luiz R.
    de Vries, Erik F. J.
    [J]. JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, 2019, 39 (06): : 989 - 1004