Affiliation:
1. Fujian-Taiwan Science and Technology Cooperation Base of Biomedical Materials and Tissue Engineering Engineering Research Center of Industrial Biocatalysis Fujian Provincial Key Laboratory of Advanced Materials Oriented Chemical Engineering Fujian Provincial Key Laboratory of Polymer Materials College of Chemistry and Materials Science Fujian Normal University 32 Shangsan Road Fuzhou 350007 P.R. China
2. Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering Yong Loo Lin School of Medicine and Faculty of Engineering National University of Singapore Singapore 119074 Singapore
3. Nanomedicine Translational Research Program NUS Center for Nanomedicine Yong Loo Lin School of Medicine National University of Singapore Singapore 117597 Singapore
4. Clinical Imaging Research Centre Centre for Translational Medicine Yong Loo Lin School of Medicine National University of Singapore Singapore 117599 Singapore
Abstract
AbstractPeptidoglycan, an essential component within the cell walls of virtually all bacteria, is composed of glycan strands linked by stem peptides that contain D‐amino acids. The peptidoglycan biosynthesis machinery exhibits high tolerance to various D‐amino acid derivatives. D‐amino acid derivatives with different functionalities can thus be specifically incorporated into and label the peptidoglycan of bacteria, but not the host mammalian cells. This metabolic labeling strategy is highly selective, highly biocompatible, and broadly applicable, which has been utilized in various fields. This review introduces the metabolic labeling strategies of peptidoglycan by using D‐amino acid derivatives, including one‐step and two‐step strategies. In addition, we emphasize the various applications of D‐amino acid derivative‐based metabolic labeling, including bacterial peptidoglycan visualization (existence, biosynthesis, and dynamics, etc.), bacterial visualization (including bacterial imaging and visualization of growth and division, metabolic activity, antibiotic susceptibility, etc.), pathogenic bacteria‐targeted diagnostics and treatment (positron emission tomography (PET) imaging, photodynamic therapy, photothermal therapy, gas therapy, immunotherapy, etc.), and live bacteria‐based therapy. Finally, a summary of this metabolic labeling and an outlook is provided.
Funder
National University of Singapore
National Natural Science Foundation of China
National Medical Research Council
National Research Foundation