Real-time magnetic resonance visualization of tumor acidosis as a precognition indicator of therapeutic efficacy

Real-time magnetic resonance visualization of tumor acidosis as a precognition indicator of therapeutic efficacy

Traditional antitumor strategies often require sufficient time to assess the effectiveness according to changes in tumor structure. Once ineffective, patients may miss the critical window for pursuing alternative treatment options. Herein, a manganese sulfide nanoplatform loaded with proton pump inh...

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Bibliographic Details
Main Authors: Mengyao Mu, Mengmeng Zhang, Jie Liu, Ke Ren, Hui Liu, Lixian Yip, Kai Guo, Feifei Teng, Jian Dong, Xueli Xu, David Tai Leong, Xiao Sun
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-10-01
Series:Bioactive Materials
Subjects:
PPI
Molecular imaging
Tumor acidosis
MRI visualization
Predicting therapy
Online Access:http://www.sciencedirect.com/science/article/pii/S2452199X25002270
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Summary:Traditional antitumor strategies often require sufficient time to assess the effectiveness according to changes in tumor structure. Once ineffective, patients may miss the critical window for pursuing alternative treatment options. Herein, a manganese sulfide nanoplatform loaded with proton pump inhibitor (PPI) is developed. This nanoplatform is designed for visualizing tumor acidosis degree by magnetic resonance imaging (MRI), achieving real-time therapeutic efficacy precognition. The nanoplatform releases PPI, H2S, and Mn2+ within the acidic lysosome of tumor cells. PPI inhibits V-ATPase expression, leading to an increase in intracellular H+ levels. H2S accelerates glucose consumption of tumor cells, producing more lactic acid and further inducing tumor acidosis. Tumor acidosis in turn accelerates the nanoplatform's degradation, achieving higher tumor MRI. As the tumor acidosis degree correlates positively with tumor regression, real-time visualization of acidosis degree effectively predicts future therapeutics. Interestingly, tumor acidosis achieves efficient tumor metastasis suppression rather than increases it. Overall, this work presents a nanoplatform capable of visualizing tumor acidosis in real-time and precisely predicting future therapeutics.
ISSN:2452-199X

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