Directional Engineering of Cyclic β-Hairpin Peptides for PET/CT Imaging of PD-L1

Peptide-based radiopharmaceuticals represent an emerging drug modality for the noninvasive diagnosis and targeted radiotherapy of cancer. However, the <i>de novo</i> discovery of peptide ligands that combine high binding affinity with sufficient <i>in vivo</i> stability remains a formidable challenge. Conformation-oriented rational design has proven to be a robust strategy for identifying peptide binders to protein targets involved in protein-protein interactions (PPIs), particularly those mediated by well-defined secondary structures such as β-sheets or α-helices. Inspired by the highly structured β-sheet binding interface between programmed death ligand 1 (PD-L1) and its receptor PD-1, we applied a β-hairpin conformation-oriented evolution strategy to engineer high-affinity PD-L1 binders. Starting from a <i>de novo</i> discovered PD-L1-targeting peptide, TPP-1, as a β-hairpin prototype, we iteratively optimized the peptide by sequentially introducing various β-turn motifs, a tryptophan zipper (Trpzip) motif, and subsequently amide cyclization to "lock" the β-hairpin conformation. This process yielded TPP-10, a side-chain to tail cyclized peptide with a highly stabilized β-hairpin structure, as confirmed by circular dichroism (CD) spectroscopy, nuclear magnetic resonance (NMR) spectroscopy, and molecular dynamics (MD) simulations. TPP-10 exhibited a significant improvement in binding affinity (<i>K</i><sub>D</sub>) for PD-L1 compared with TPP-1, along with markedly enhanced <i>in vivo</i> stability. We further evaluated these peptides as radioligands using PET imaging with <sup>68</sup>Ga and <sup>64</sup>Cu. [<sup>68</sup>Ga]TPP-10 demonstrated significantly increased tumor uptake and retention in mouse models, and this performance improvement was even more pronounced when the longer-lived radionuclide <sup>64</sup>Cu was employed. Collectively, these results identify TPP-10 as a promising clinical candidate for PD-L1 PET imaging and highlight β-hairpin-oriented peptide engineering as a powerful approach for developing radiopharmaceuticals targeting aberrant PPIs.

Authors

Institutions

Publication Details

Journal
Journal of the American Chemical Society
Published
2026-03-13
DOI
https://doi.org/10.1021/jacs.5c21595
Primary Topic
Peptidase Inhibition and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Directional Engineering of Cyclic β-Hairpin Peptides for PET/CT Imaging of PD-L1

Hao Geng, Qingshuang Lu, Jie Chen, Lu Wang et al.
Journal of the American Chemical Society
Peptidase Inhibition and Analysis
article

Directional Engineering of Cyclic β-Hairpin Peptides for PET/CT Imaging of PD-L1

Hao Geng, Qingshuang Lu, Jie Chen, Lu Wang, Heng Zhang, Zirui Zhang, Kun Hu, Yundong Wu, Liang Xu, Hongwei Li, Jiang Li, Siqi Zhang, Ming-Rong Zhang, Can Liu, Rui Wang
article en

Abstract

Peptide-based radiopharmaceuticals represent an emerging drug modality for the noninvasive diagnosis and targeted radiotherapy of cancer. However, the <i>de novo</i> discovery of peptide ligands that combine high binding affinity with sufficient <i>in vivo</i> stability remains a formidable challenge. Conformation-oriented rational design has proven to be a robust strategy for identifying peptide binders to protein targets involved in protein-protein interactions (PPIs), particularly those mediated by well-defined secondary structures such as β-sheets or α-helices. Inspired by the highly structured β-sheet binding interface between programmed death ligand 1 (PD-L1) and its receptor PD-1, we applied a β-hairpin conformation-oriented evolution strategy to engineer high-affinity PD-L1 binders. Starting from a <i>de novo</i> discovered PD-L1-targeting peptide, TPP-1, as a β-hairpin prototype, we iteratively optimized the peptide by sequentially introducing various β-turn motifs, a tryptophan zipper (Trpzip) motif, and subsequently amide cyclization to "lock" the β-hairpin conformation. This process yielded TPP-10, a side-chain to tail cyclized peptide with a highly stabilized β-hairpin structure, as confirmed by circular dichroism (CD) spectroscopy, nuclear magnetic resonance (NMR) spectroscopy, and molecular dynamics (MD) simulations. TPP-10 exhibited a significant improvement in binding affinity (<i>K</i><sub>D</sub>) for PD-L1 compared with TPP-1, along with markedly enhanced <i>in vivo</i> stability. We further evaluated these peptides as radioligands using PET imaging with <sup>68</sup>Ga and <sup>64</sup>Cu. [<sup>68</sup>Ga]TPP-10 demonstrated significantly increased tumor uptake and retention in mouse models, and this performance improvement was even more pronounced when the longer-lived radionuclide <sup>64</sup>Cu was employed. Collectively, these results identify TPP-10 as a promising clinical candidate for PD-L1 PET imaging and highlight β-hairpin-oriented peptide engineering as a powerful approach for developing radiopharmaceuticals targeting aberrant PPIs.

Journal of the American Chemical Society
Academy of Medical Sciences (GB), Target (United States) (US), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking University (CN), Peking Union Medical College Hospital (CN), Shenzhen Bay Laboratory (CN), Shanghai Institute of Materia Medica (CN), National Institutes for Quantum Science and Technology (JP), Peking University Shenzhen Hospital (CN), Cyclotron (Netherlands) (NL), State Key Laboratory of Chemical Engineering (CN), Metallopharm (United States) (US), Resonance Research (United States) (US), First Affiliated Hospital of Jinan University (CN), Lanzhou University (CN)
Openalex Percentile: Top 23%
Peptidase Inhibition and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.