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Application of Ultrasound Molecular Imaging Based on Compressed Sensing Reconstruction Algorithm to Phase Change Drug-loaded PLGA Nanoparticles Targeting Breast Cancer MCF-7 Cells

Overview
Journal Pak J Med Sci
Specialty General Medicine
Date 2021 Oct 29
PMID 34712292
Citations 1
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Abstract

Objectives: To study the ability of aptamer-modified nano-gold rods and liquid carbon-targeted PLGA nanoparticles to target in vitro using compressed sensing reconstruction algorithm, and observe the phenomenon of mediating ultrasound / photoacoustic imaging.

Methods: PLGA nanoparticles were prepared by a double emulsification method, and the MUC1 aptamer was connected to the PLGA nanoparticles by the carbodiimide method to obtain an "aptamer-PLGA nanoparticle" targeted phase change contrast agent. Fluorescence microscopy was used to detect the in vitro targeting of breast cancer MCF-7 cells specifically identified by it, and three control groups were set up: the ordinary nanoparticle group, the aptamer interference group, and the HELA cell group. A photoacoustic instrument was used to observe the phenomenon of enhanced ultrasound / photoacoustic signal mediated in vitro.

Results: Many targeted nanoparticles were clustered around MCF-7 cells and bound firmly, but no specific binding was observed in the non-targeted nanoparticles group, the aptamer interference group and the HELA cell group. After the targeted nanoparticle was excited by the photoacoustic instrument, the ultrasonic signal and the photoacoustic signal were significantly enhanced compared with before the excitation.

Conclusion: The successfully prepared targeting nanoparticles have good targeting and specificity for breast cancer MCF-7 cells, and it has obvious effects on ultrasound / photoacoustic imaging, and has the potential to become a dual-mode ultrasound / photoacoustic targeted contrast agent. The various characteristics provide experimental basis for subsequent in vivo targeting experiments and are expected to become good target diagnostic molecular probes.

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Cui Z, Ma T, Yang W, Shuang W Pak J Med Sci. 2023; 39(1):236-240.

PMID: 36694750 PMC: 9843023. DOI: 10.12669/pjms.39.1.6584.

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