脂质过氧化
丙二醛
萧条(经济学)
化学
可视化
碳纤维
生物化学
心理学
氧化应激
纳米技术
材料科学
计算机科学
人工智能
复合材料
经济
宏观经济学
复合数
作者
Xiaoyan Wu,Hao Cai,Rui Liao,Antônio Cláudio Tedesco,Zi‐Jian Li,Feng Wang,Hong Bi
出处
期刊:Small
[Wiley]
日期:2024-08-05
卷期号:20 (46): e2400671-e2400671
被引量:19
标识
DOI:10.1002/smll.202400671
摘要
Brain 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.
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