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Antitumor Potential of Selenium Nanoparticles (SeNPs) Against Multiple Myeloma Model in RPMI8226 Cells

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Abstract

Multiple myeloma is defined as bone marrow contains higher level of plasma cells, and well-known malignant tumour of B lymphocytes. Recently, nanoparticles have been synthesised and applied in the field of biomedicine. RPMI8226 cells were treated with selenium nanoparticles (SeNPs) at various concentrations for 48 h. Cell viability, reactive oxygen species (ROS), cell morphology, ATP level, apoptosis, and caspase-3 and caspase-9 expressions were determined. RPMI8226 cell viability was reduced 4.7%, 11.3%, 32.7%, 48.6% and 60.3% at 20–100 µg/ml of SeNPs respectively. Intracellular ROS level was increased in RPMI8226 cells 31.9%, 86%, 167% and 313.6% at 40–100 µg/ml of SeNPs respectively. ATP level was reduced in RPMI8226 cells 15.8%, 32.6%, 48.3% and 55.5% at 40–100 µg/ml of SeNPs respectively. Higher concentration of SeNPs showed nuclear coagulation, cell contraction, and more cell debris were noted with increased concentration of SeNPs, and dose-dependent relationship was observed. Apoptosis of RPMI8226 cells increased with increased concentration of SeNPs. SeNPs also increased mRNA and protein expression of caspase-3 and caspase-9 in RPMI8226 cells. Taking all these data together, it is concluded that the SeNPs could effectively induce apoptosis, and cell death of multiple myeloma cells.

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Authors and Affiliations

  1. Department of Haematology, Shaanxi Provincial People’s Hospital, No 256 West Youyi Road, Xi’an, 710068, Shaanxi, China

    Lan Li, Ying Gao, Weihua Zhang & Yan Zheng

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  1. Lan Li
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  2. Ying Gao
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  3. Weihua Zhang
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  4. Yan Zheng
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Contributions

LL conceived and designed research. YG and WZ performed experiments and performed statistical analysis. YZ wrote the manuscript. All authors read and approved the final manuscript.

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Correspondence to Yan Zheng.

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Li, L., Gao, Y., Zhang, W. et al. Antitumor Potential of Selenium Nanoparticles (SeNPs) Against Multiple Myeloma Model in RPMI8226 Cells. J Clust Sci 33, 2771–2780 (2022). https://doi.org/10.1007/s10876-021-02191-5

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  • DOI: https://doi.org/10.1007/s10876-021-02191-5

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