A hierarchical theranostic nanoagent for multimodal imaging and targeted foam cell intervention in atherosclerosis

Atherosclerosis (AS) is a leading cause of cardiovascular and cerebrovascular disease and is driven by lipid accumulation and chronic inflammation within arterial plaques. Foam cells play a central role in plaque growth and destabilization, yet their precise diagnosis and targeted regulation remain challenging. Here we present a hierarchical nanoagent that integrates multimodal imaging with selective foam cell intervention for improved AS management. The molecular probe enables near-infrared II fluorescence, photoacoustic, and magnetic resonance imaging, providing complementary information on plaque location, depth, and morphology. To achieve targeted therapy, the probe is co-encapsulated with atorvastatin using responsive nanocarriers camouflaged with macrophage membranes and equipped with a foam cell-targeting peptide. This hierarchical strategy enables precise targeting to inflamed plaques and foam cells, where controlled drug release promotes lipid efflux, reduces inflammatory signaling, and enhances plaque stabilization in female AS mouse models. This integrated imaging-guided therapeutic platform holds great promise for precise diagnosis and treatment of cardiovascular disease.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-03-11
DOI
https://doi.org/10.1038/s41467-026-70463-7
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A hierarchical theranostic nanoagent for multimodal imaging and targeted foam cell intervention in atherosclerosis

Xin Meng, Shuxuan Yang, Ji Qi, Jianwen Song et al.
Nature Communications
Nanoplatforms for cancer theranostics
article

A hierarchical theranostic nanoagent for multimodal imaging and targeted foam cell intervention in atherosclerosis

Xin Meng, Shuxuan Yang, Ji Qi, Jianwen Song, Wen Li, Zihang Shi, Xiaoying Kang
article en

Abstract

Atherosclerosis (AS) is a leading cause of cardiovascular and cerebrovascular disease and is driven by lipid accumulation and chronic inflammation within arterial plaques. Foam cells play a central role in plaque growth and destabilization, yet their precise diagnosis and targeted regulation remain challenging. Here we present a hierarchical nanoagent that integrates multimodal imaging with selective foam cell intervention for improved AS management. The molecular probe enables near-infrared II fluorescence, photoacoustic, and magnetic resonance imaging, providing complementary information on plaque location, depth, and morphology. To achieve targeted therapy, the probe is co-encapsulated with atorvastatin using responsive nanocarriers camouflaged with macrophage membranes and equipped with a foam cell-targeting peptide. This hierarchical strategy enables precise targeting to inflamed plaques and foam cells, where controlled drug release promotes lipid efflux, reduces inflammatory signaling, and enhances plaque stabilization in female AS mouse models. This integrated imaging-guided therapeutic platform holds great promise for precise diagnosis and treatment of cardiovascular disease.

Nature Communications
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Nankai University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities, Chinese Academy of Medical Sciences Initiative for Innovative Medicine
Good health and well-being
Openalex Percentile: Top 28%
Nanoplatforms for cancer theranostics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.