Enhancing Photodynamic Therapy through Magnetic Targeting: A Biochemical Perspective

In this study, we investigated the biochemical mechanisms induced by magnetic nanoparticles (MNPs) in magnetically targeted photodynamic therapy (MT-PDT). An insight into the underlying oxidative/nitrosative stress mechanism is vital for optimizing treatment protocols, enhancing therapeutic efficacy, and minimizing adverse effects of MT-PDT. We have synthesized and characterized methylene-blue-loaded cobalt ferrite nanoparticles (MB-SCFNP) and evaluated their MT-PDT efficacy in breast cancer. Our <i>in vitro</i> cytotoxicity results revealed high cytotoxicity of MB-SCFNP in the presence of a static magnetic field + laser with an approximately 2-fold lower IC<sub>50</sub> value compared to laser only. Concurrently, minimal dark toxicity indicated the cytocompatible nature of MB-SCFNP. Moreover, MB-SCFNP-mediated apoptosis was found to involve the generation of reactive oxygen species (ROS). Furthermore, we observed enhanced intracellular ROS production under magnetic field + laser exposure. The biochemical assay results demonstrated the imbalance between ROS and nitrogen (RNS) species production and antioxidant defense mechanisms, which implicated the role of oxido-nitrosative stress in triggering cellular damage and cytotoxic effects. The observed changes in lactate dehydrogenase release, superoxide dismutase levels, and ROS production suggest oxidative stress, whereas an increase in nitric oxide levels indicates nitrosative stress. These cellular responses provide insights into the mechanisms of NP-mediated MT-PDT for breast cancer treatment.

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Publication Details

Journal
ACS Omega
Published
2025-05-19
DOI
https://doi.org/10.1021/acsomega.4c07875
Citations
1
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
Field-Weighted Citation Impact
0.67

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article

Enhancing Photodynamic Therapy through Magnetic Targeting: A Biochemical Perspective

Indrajit Roy, Mansi Malik, Anita Verma, Monika Yadav et al.
1 citations
ACS Omega
Nanoplatforms for cancer theranostics
0.67
article

Enhancing Photodynamic Therapy through Magnetic Targeting: A Biochemical Perspective

Indrajit Roy, Mansi Malik, Anita Verma, Monika Yadav, Kritika
article en
1 citations

Abstract

In this study, we investigated the biochemical mechanisms induced by magnetic nanoparticles (MNPs) in magnetically targeted photodynamic therapy (MT-PDT). An insight into the underlying oxidative/nitrosative stress mechanism is vital for optimizing treatment protocols, enhancing therapeutic efficacy, and minimizing adverse effects of MT-PDT. We have synthesized and characterized methylene-blue-loaded cobalt ferrite nanoparticles (MB-SCFNP) and evaluated their MT-PDT efficacy in breast cancer. Our <i>in vitro</i> cytotoxicity results revealed high cytotoxicity of MB-SCFNP in the presence of a static magnetic field + laser with an approximately 2-fold lower IC<sub>50</sub> value compared to laser only. Concurrently, minimal dark toxicity indicated the cytocompatible nature of MB-SCFNP. Moreover, MB-SCFNP-mediated apoptosis was found to involve the generation of reactive oxygen species (ROS). Furthermore, we observed enhanced intracellular ROS production under magnetic field + laser exposure. The biochemical assay results demonstrated the imbalance between ROS and nitrogen (RNS) species production and antioxidant defense mechanisms, which implicated the role of oxido-nitrosative stress in triggering cellular damage and cytotoxic effects. The observed changes in lactate dehydrogenase release, superoxide dismutase levels, and ROS production suggest oxidative stress, whereas an increase in nitric oxide levels indicates nitrosative stress. These cellular responses provide insights into the mechanisms of NP-mediated MT-PDT for breast cancer treatment.

ACS OmegaVol. 10(21)
University of Delhi (IN), University of Birmingham (GB)
Council of Scientific and Industrial Research, India, University Grants Commission, University of Delhi
Openalex Percentile: Top 32%
Nanoplatforms for cancer theranostics
0.67
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