Affiliation:
1. School of Materials Science and Engineering Anhui University 111 Jiulong Road Hefei 230601 China
2. Department of Polymer Science and Engineering University of Science and Technology of China 96 Jinzhai Road Hefei 230026 China
3. Department of Chemistry Center of Nanotechnology and Tissue Engineering‐Photobiology and Photomedicine Research Group Faculty of Philosophy Sciences and Letters of Ribeirão Preto University of São Paulo Ribeirão Preto São Paulo 14040‐901 Brazil
Abstract
AbstractBrain lipidic peroxidation is closely associated with the pathophysiology of various psychiatric diseases including depression. Malondialdehyde (MDA), a reactive aldehyde produced in lipid region, serves as a crucial biomarker for lipid peroxidation. However, techniques enabling real‐time detection of MDA are still lacking due to the inherent trade‐off between recognition dynamics and robustness. Inspired by the structure of phospholipid bilayers, amphiphilic carbon dots named as CG‐CDs targeted to cell membrane are designed for real‐time monitoring of MDA fluctuations. The design principle relies on the synergy of dynamic hydrogen bonding recognition and cell membrane targetability. The latter facilitates the insertion of CG‐CDs into lipid regions and provides a hydrophobic environment to stabilize the labile hydrogen bonding between CG‐CDs and MDA. As a result, recognition robustness and dynamics are simultaneously achieved for CG‐CDs/MDA, allowing for in situ visualization of MDA kinetics in cell membrane due to the instant response (<5 s), high sensitivity (9‐fold fluorescence enhancement), intrinsic reversibility (fluorescence on/off), and superior selectivity. Subsequently, CG‐CDs are explored to visualize nerve cell membrane impairment in depression models of living cells and zebrafish, unveiling the extensive heterogeneity of the lipid peroxidation process and indicating a positive correlation between MDA levels and depression.
Funder
Key Technologies Research and Development Program
National Natural Science Foundation of China