Nanoengineered Neutrophil as <sup>19</sup>F‐MRI Tracer for Alert Diagnosis and Severity Assessment of Acute Lung Injury

Acute lung injury (ALI) is a severe complication in clinical settings. Alert diagnosis and severity assessment of ALI is pivotal to ensure curative treatment and increase survival rates. However, the development of a precise ALI diagnostic strategy remains a pending task. Here, leveraging neutrophil's inflammation-homing and physiological barrier-navigating capability, a facile strategy is proposed for achieving targeted <sup>19</sup>F-MRI detection of ALI based on the nanoengineered neutrophil internalized with perfluorocarbon nanoemulsion (Neu@PFC). The remodeling process poses a negligible impact on the neutrophil's inherent activation and transmigration functions. The migratory behavior of Neu@PFC toward pneumonia is confirmed in vivo using an LPS-induced ALI murine model. Direct intratracheal (i.t.) administration contributes to a vast deposition of Neu@PFC within the lung, allowing for real-time <sup>19</sup>F-MRI visualization and the potential to predict progressive pneumonia. Furthermore, intravenous (i.v.) administration of Neu@PFC enables quantitative assessment of the extent of ALI due to the chemokine-guided neutrophil migration. This study not only provides a pathway to diagnose ALI, but also sheds light on the neutrophil recruitment and activation cues in different tissues and inflammatory conditions, which is a prerequisite for developing potential therapeutic approaches.

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Publication Details

Journal
Advanced Materials
Published
2024-10-03
DOI
https://doi.org/10.1002/adma.202401513
Citations
10
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
Field-Weighted Citation Impact
1.84

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article

Nanoengineered Neutrophil as 19F‐MRI Tracer for Alert Diagnosis and Severity Assessment of Acute Lung Injury

Zhong‐Xing Jiang, Daiqin Chen, Meiju Sui, Xin Hua Zhou et al.
10 citations
Advanced Materials
Nanoplatforms for cancer theranostics
1.84
article

Nanoengineered Neutrophil as 19F‐MRI Tracer for Alert Diagnosis and Severity Assessment of Acute Lung Injury

Zhong‐Xing Jiang, Daiqin Chen, Meiju Sui, Xin Hua Zhou, Sha Li, Lei Zhang, Shizhen Chen, Qiuyi Xu, Long Xiao
article en
10 citations

Abstract

Acute lung injury (ALI) is a severe complication in clinical settings. Alert diagnosis and severity assessment of ALI is pivotal to ensure curative treatment and increase survival rates. However, the development of a precise ALI diagnostic strategy remains a pending task. Here, leveraging neutrophil's inflammation-homing and physiological barrier-navigating capability, a facile strategy is proposed for achieving targeted <sup>19</sup>F-MRI detection of ALI based on the nanoengineered neutrophil internalized with perfluorocarbon nanoemulsion (Neu@PFC). The remodeling process poses a negligible impact on the neutrophil's inherent activation and transmigration functions. The migratory behavior of Neu@PFC toward pneumonia is confirmed in vivo using an LPS-induced ALI murine model. Direct intratracheal (i.t.) administration contributes to a vast deposition of Neu@PFC within the lung, allowing for real-time <sup>19</sup>F-MRI visualization and the potential to predict progressive pneumonia. Furthermore, intravenous (i.v.) administration of Neu@PFC enables quantitative assessment of the extent of ALI due to the chemokine-guided neutrophil migration. This study not only provides a pathway to diagnose ALI, but also sheds light on the neutrophil recruitment and activation cues in different tissues and inflammatory conditions, which is a prerequisite for developing potential therapeutic approaches.

Advanced MaterialsVol. 36(47)
Chinese Academy of Sciences (CN), Hainan University (CN), Wuhan Institute of Physics and Mathematics (CN), Wuhan National Laboratory for Optoelectronics (CN), University of Chinese Academy of Sciences (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 15%
Nanoplatforms for cancer theranostics
1.84
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