A novel biomimetic liposome drug delivery system mediated by macrophage targeting for precision treatment of encephalitis

Abstract The highly selective and defensive properties of the blood‐brain barrier (BBB) significantly hinder effective drug penetration and therapeutic efficacy, presenting significant challenges for treating central nervous system (CNS) disorders, particularly neuroinflammatory diseases. In this study, we innovatively developed a macrophage‐mediated biomimetic liposomal drug delivery system (AC‐LP@RAW) co‐loaded with curcumin (Cur) and gold nanoclusters (AuNCs) for targeted therapy of acute encephalitis. By leveraging the unique immune homing properties of RAW 264.7 cells (RAW), AC‐LP@RAW demonstrates enhanced BBB penetration and precise targeting to inflammatory sites, significantly improving Cur delivery to brain parenchyma. Near‐infrared (NIR) irradiation‐induced photothermal effects subsequently trigger the disintegration of the system and site‐specific drug release at inflamed regions, exhibiting remarkable capabilities in recognizing acute inflammation and promoting tissue repair. Furthermore, AC‐LP@RAW enables real‐time imaging and monitoring of deep‐brain inflammatory lesions in acute neuroinflammation models. This novel liposomal delivery system demonstrates tremendous potential for overcoming BBB limitations while achieving precise targeted therapy and visual tracking imaging for acute encephalitis.

Authors

Institutions

Publication Details

Journal
BMEMat
Published
2026-03-16
DOI
https://doi.org/10.1002/bmm2.70077
Primary Topic
Nanoparticle-Based Drug Delivery
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A novel biomimetic liposome drug delivery system mediated by macrophage targeting for precision treatment of encephalitis

W Q Li, Baoqin Song, Wanjun Liang, Zhihao Chen et al.
BMEMat
Nanoparticle-Based Drug Delivery
article

A novel biomimetic liposome drug delivery system mediated by macrophage targeting for precision treatment of encephalitis

W Q Li, Baoqin Song, Wanjun Liang, Zhihao Chen, Mengru Wu, Xiu Wang
article en

Abstract

Abstract The highly selective and defensive properties of the blood‐brain barrier (BBB) significantly hinder effective drug penetration and therapeutic efficacy, presenting significant challenges for treating central nervous system (CNS) disorders, particularly neuroinflammatory diseases. In this study, we innovatively developed a macrophage‐mediated biomimetic liposomal drug delivery system (AC‐LP@RAW) co‐loaded with curcumin (Cur) and gold nanoclusters (AuNCs) for targeted therapy of acute encephalitis. By leveraging the unique immune homing properties of RAW 264.7 cells (RAW), AC‐LP@RAW demonstrates enhanced BBB penetration and precise targeting to inflammatory sites, significantly improving Cur delivery to brain parenchyma. Near‐infrared (NIR) irradiation‐induced photothermal effects subsequently trigger the disintegration of the system and site‐specific drug release at inflamed regions, exhibiting remarkable capabilities in recognizing acute inflammation and promoting tissue repair. Furthermore, AC‐LP@RAW enables real‐time imaging and monitoring of deep‐brain inflammatory lesions in acute neuroinflammation models. This novel liposomal delivery system demonstrates tremendous potential for overcoming BBB limitations while achieving precise targeted therapy and visual tracking imaging for acute encephalitis.

BMEMat
Shandong First Medical University (CN), Freie Universität Berlin (DE)
Good health and well-being
Openalex Percentile: Top 25%
Nanoparticle-Based Drug Delivery
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.