How to develop antitumor nanodrugs
with low toxicity
and a good
curative effect is an urgent problem in the current biomedicine field.
In this work, different proposed composites were simulated by the
finite difference time domain (FDTD) and COMSOL, including the material
element, refractive index, particle size, and shape. Also, different
machine learning algorithms are utilized to predict the absorbance
at the near-infrared laser of 980 nm of different materials. Through
train, validation, and test, the prediction of the as-synthesized
Pt–Mn has high absorbance. Then, inorganic Pt–Mn was
coated with PEI in order to improve their biocompatibility. Pt–Mn
nanoparticles can generate ROS under the single 980 nm laser irradiation
as a photodynamic therapy (PDT) agent and as a photothermal therapy
(PTT) agent to heat the cells with a photothermal conversion efficiency
of 23.6%. In addition, the electrochemical and in vitro chemodynamic therapy (CDT) experiments prove that Pt–Mn nanozymes
could mimic the activity of peroxidase and enhance the Fenton reaction,
thereby catalyzing excess H2O2 to produce hydroxyl
free radicals and illustrating the potential to induce tumor cell
apoptosis as the CDT agent in a weakly acidic tumor environment to
complete high-efficiency chemokinetic therapy. Finally, Pt–Mn–PEI
nanoparticles were used for PDT/PTT/CDT and the immune checkpoint
inhibitor of anti-PD-L1 is injected in order to obtain the assistant
immunotherapy, providing a potential choice to anticancer through
effective synergistic cancer therapies