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Antitumor activity and antitumor mechanism of triphenylphosphonium chitosan against liver carcinoma

Published online by Cambridge University Press:  14 August 2018

Haochao Huang
Affiliation:
Department of Biomedical Engineering, Jinan University, Guangzhou 510632, China
Haiwei Wu
Affiliation:
College of Chemistry and Materials Science, Jinan University, Guangzhou 510632, China
Yongrui Huang
Affiliation:
Department of Biomedical Engineering, Jinan University, Guangzhou 510632, China
Shuangying Zhang
Affiliation:
Department of Biomedical Engineering, Jinan University, Guangzhou 510632, China
Yuetwai Lam
Affiliation:
Department of Biomedical Engineering, Jinan University, Guangzhou 510632, China
Ningjian Ao*
Affiliation:
Department of Biomedical Engineering, Jinan University, Guangzhou 510632, China
*
a)Address all correspondence to this author. e-mail: aoningjian123@163.com

Abstract

N-(3-Carboxypropyl) triphenylphosphonium bromide chitosan (TPPB-CS) was synthesized and characterized by FTIR, 1H NMR spectrometer, and Zeta potential. TPPB-CS showed a selectivity-toxicity among cancer cell lines (MG-63 and HepG2 cells) and mouse embryonic fibroblast cells (NIH3T3 cells). A significant effect on inhibiting cell migration in HepG2 cells was observed in vitro, and TPPB-CS could effectively inhibit tumor growth in H22-bearing mice in vivo. Furthermore, the distribution of cell cycle, the level of reactive oxygen species (ROS), mitochondrial transmembrane potential (∆ψm), the expression of tumor necrosis factor α (TNF-α), and vascular endothelial growth factor (VEGF) were examined to investigate the antitumor mechanism of TPPB-CS. The results suggested that the antitumor activity of TPPB-CS may be attributed to delay the cell cycle in S phase, alter the ROS and ∆ψm level, as well as regulate the TNF-α and VEGF secretion. TPPB-CS can become a promising anticancer drug for clinical therapy.

Information

Type
Article
Copyright
Copyright © Materials Research Society 2018 
Figure 0

FIG. 1. FT-IR spectra of TPPB-CS1 (a), TPPB (b), and chitosan (c), respectively.

Figure 1

FIG. 2. 1H NMR spectra of chitosan (a) and TPPB-CS1 (b) with the solvent of D2O.

Figure 2

TABLE I. DS of TPPB-CS calculated based on ICP-AES and zeta potential of chitosan, TPPB, and TPPB-CS.

Figure 3

FIG. 3. Cytotoxicity assay of chitosan (CS), TPPB, TPPB-CS, and 5-Fu on 3T3 (a), MG-63 (b), and HepG2 (c) cells in vitro.

Figure 4

FIG. 4. Transwell assay on migration and invasion of HepG2 cells after incubation with TPPB-CS1 for 18 h and 48 h, respectively. (a) Photographs of cells adhering to the bottom of chambers (100× magnification); (b) Inhibition rate of migration/invasion was determined by measuring the crystal violet-stained intensities on the microplate reader. Data represent mean ± SD (n = 3); *P < 0.05, **P < 0.01, ***P < 0.001 was regarded as statistically significant compared with negative control.

Figure 5

FIG. 5. Changes of H22 tumor volume in BALB/c-nu mice. The arrows represent the drug administrated time. Data represent mean ± SD (n = 5), *P < 0.05 and ***P < 0.001 versus saline negative control; b, P < 0.01 versus 5-Fu positive control.

Figure 6

TABLE II. Tumor weight and its inhibitory growth rate in H22 tumor-bearing BALB/c-nu female mice after administration of different drugs.

Figure 7

FIG. 6. Influences of different concentrations of TPPB-CS1 (10, 50, and 100 μg/mL) complexes on cell cycle, cell ROS level, and mitochondrial transmembrane potential (∆ψm) in HepG2 cells, whereas cell cycle, ROS, and ∆ψm were stained by PI, DCFH-DA, and JC-1, respectively. (a) The cell cycle of HepG2 cells treated with different concentrations of TPPB-CS1 for 48 h and cells in G1, S, and G2 phases were calculated by MultiCycle software. (b) The relative fluorescence intensity and red/green (high ∆ψm/low ∆ψm) fluorescence intensity ratio, represented the ROS level and changes of ∆ψm, were measured by flow cytometry. (c) Pictures of quantitative analysis in ∆ψm from fluorescence assay. Data represent mean ± SD (n = 3); *P < 0.05 was regarded as statistically significant compared with PBS control.

Figure 8

FIG. 7. Content of VEGF and TNF-α in mouse serum analyzed by ELISA assay. Data represent mean ± SD, n = 3 (the serum of three mice were randomly chosen from each group), *P < 0.05 versus saline negative control; a, P < 0.05 versus 5-Fu positive control.