Sensitive Activatable Nanoprobes for Real-Time Ratiometric Magnetic Resonance Imaging of Reactive Oxygen Species and Ameliorating Inflammation In Vivo

Sensitive Activatable Nanoprobes for Real-Time Ratiometric Magnetic Resonance Imaging of Reactive Oxygen Species and Ameliorating Inflammation In Vivo

© 2022 Wiley-VCH GmbH.

Bibliographische Detailangaben
Veröffentlicht in:Advanced materials (Deerfield Beach, Fla.). - 1998. - 34(2022), 19 vom: 10. Mai, Seite e2109004
1. Verfasser: Li, Xilan (VerfasserIn)
Weitere Verfasser: Liu, Yun, Qi, Xiaowei, Xiao, Shilin, Xu, Zhongsheng, Yuan, Zhixian, Liu, Qi, Li, Haisheng, Ma, Siyuan, Liu, Tengfei, Huang, Yong, Zhang, Xiaorong, Zhang, Xiao, Mao, Zhengwei, Luo, Gaoxing, Deng, Jun
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:Advanced materials (Deerfield Beach, Fla.)
Schlagworte:Journal Article activatable nanoprobes inflammation magnetic resonance imaging reactive oxygen species theranostics Reactive Oxygen Species Manganese 42Z2K6ZL8P
Beschreibung
Zusammenfassung:© 2022 Wiley-VCH GmbH.
Imaging-guided real-time monitoring of the treatment process of inflammatory diseases is important for the timely adjustment of treatment planning to lower unnecessary side effects and improve treatment outcomes. However, it is difficult to reflect the dynamic changes of inflammation in vivo with enough tissue penetration depth. Here a novel nanotheranostic agent (denominated TMSNPM) with platelet membrane (PM)-coated, tempol-grafted, manganese-doped, mesoporous silica nanoparticles is developed. The PM endows the TMSN@PM with the ability to target inflammation sites, which are verified by fluorescence imaging with Cyanine5 carboxylic acid (Cy5)-labeled TMSN@PM. Under the inflammatory environment (mild acidity and excess reactive oxygen species (ROS)), TMSN@PM can scavenge the excess ROS, thereby alleviating inflammation, degrade, and release manganese ions for enhanced magnetic resonance imaging (MRI). The relaxation changes (ΔR1 ) are almost linearly correlated with the concentration of H2 O2 , which can reflect the degree of inflammation. This method offers a non-invasive imaging-based strategy for early prediction of the therapeutic outcomes in inflammatory therapy, which may contribute to precision medicine in terms of prognostic stratification and therapeutic planning in future
Beschreibung:Date Completed 16.05.2022
Date Revised 16.05.2022
published: Print-Electronic
Citation Status MEDLINE
ISSN:1521-4095
DOI:10.1002/adma.202109004