Biomimetic Nanomedicine Aligns Oxygen‐Sparing Metabolism With Light‐Triggered Therapy for Enhanced Antitumor Efficacy

Tumor hypoxia is prevalent across solid malignancies and limits the effectiveness of oxygen-dependent therapies. To address this, we report a biomimetic nanomedicine based on M1 macrophage-derived vesicles co-loaded with lonidamine (Lon) and the near-infrared dye IR780 (M1-Lon-IR780), which reduces mitochondrial oxygen consumption and thereby enables photodynamic effects under 808-nm irradiation. Benefiting from the intrinsic tumor-homing capacity of M1 macrophage-derived vesicles, M1-Lon-IR780 achieves efficient tumor enrichment. Lon reduced mitochondrial respiration and oxygen consumption, thereby increasing oxygen availability during irradiation and enhancing IR780-mediated reactive oxygen species generation under 808-nm light. The results show that M1-Lon-IR780 strengthens light-triggered cytotoxicity and induces mitochondrial depolarization and apoptosis compared with monotherapies in vitro. In an A549 xenograft, M1-Lon-IR780 with 808 nm irradiation produced stronger tumor growth inhibition than controls without evident systemic toxicity. These findings indicate that integrating metabolic modulation with near infrared photosensitization can mitigate hypoxia-related limitations, offering a promising strategy for improving photodynamic therapy (PDT).

Authors

Institutions

Publication Details

Journal
Advanced Healthcare Materials
Published
2026-01-04
DOI
https://doi.org/10.1002/adhm.202505196
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

Biomimetic Nanomedicine Aligns Oxygen‐Sparing Metabolism With Light‐Triggered Therapy for Enhanced Antitumor Efficacy

Xiaoyan He, Yue Fan, Xue‐Qian Li, Qian Wang et al.
Advanced Healthcare Materials
Nanoplatforms for cancer theranostics
article

Biomimetic Nanomedicine Aligns Oxygen‐Sparing Metabolism With Light‐Triggered Therapy for Enhanced Antitumor Efficacy

Xiaoyan He, Yue Fan, Xue‐Qian Li, Qian Wang, Tong‐Yin Xiong, Yan Xiong, Mu‐Wen Jia, Gui‐Song Shan
article en

Abstract

Tumor hypoxia is prevalent across solid malignancies and limits the effectiveness of oxygen-dependent therapies. To address this, we report a biomimetic nanomedicine based on M1 macrophage-derived vesicles co-loaded with lonidamine (Lon) and the near-infrared dye IR780 (M1-Lon-IR780), which reduces mitochondrial oxygen consumption and thereby enables photodynamic effects under 808-nm irradiation. Benefiting from the intrinsic tumor-homing capacity of M1 macrophage-derived vesicles, M1-Lon-IR780 achieves efficient tumor enrichment. Lon reduced mitochondrial respiration and oxygen consumption, thereby increasing oxygen availability during irradiation and enhancing IR780-mediated reactive oxygen species generation under 808-nm light. The results show that M1-Lon-IR780 strengthens light-triggered cytotoxicity and induces mitochondrial depolarization and apoptosis compared with monotherapies in vitro. In an A549 xenograft, M1-Lon-IR780 with 808 nm irradiation produced stronger tumor growth inhibition than controls without evident systemic toxicity. These findings indicate that integrating metabolic modulation with near infrared photosensitization can mitigate hypoxia-related limitations, offering a promising strategy for improving photodynamic therapy (PDT).

Advanced Healthcare MaterialsVol. 15(12)
Anhui Medical University (CN), First Affiliated Hospital of Anhui Medical University (CN)
Anhui Medical University
Openalex Percentile: Top 97%
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.