The surface nanostructures of titanium alloy regulate the proliferation of endothelial cells

Min Lai; Xiaofang Yang; Qing Liu; Jinghua Li; Yanhua Hou; Xiuyong Chen; Kaiyong Cai; Min Lai; Xiaofang Yang; Qing Liu; Jinghua Li; Yanhua Hou; Xiuyong Chen; Kaiyong Cai

doi:10.3934/matersci.2014.1.45

AIMS Materials Science

2014, Volume 1, Issue 1: 45-58. doi: 10.3934/matersci.2014.1.45

Previous Article Next Article

Research article

The surface nanostructures of titanium alloy regulate the proliferation of endothelial cells

1.
Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China;
2.
School of Materials Science and Engineering, Chongqing University, Chongqing 400044, China

Received: 04 December 2013 Accepted: 26 January 2014 Published: 09 February 2014

To investigate the effect of surface nanostructures on the behaviors of human umbilical vein endothelial cells (HUVECs), surface nanostructured titanium alloy (Ti-3Zr2Sn-3Mo-25Nb, TLM) was fabricated by surface mechanical attrition treatment (SMAT) technique. Field emission scanning electron microscopy (FE-SEM), atomic force microscopy (AFM), transmission electron microscopy (TEM) and X-ray diffraction (XRD) were employed to characterize the surface nanostructures of the TLM, respectively. The results demonstrated that nano-crystalline structures with several tens of nanometers were formed on the surface of TLM substrates. The HUVECs grown onto the surface nanostructured TLM spread well and expressed more vinculin around the edges of cells. More importantly, HUVECs grown onto the surface nanostructured TLM displayed significantly higher (p < 0.01 or p < 0.05) cell adhesion and viabilities than those of native titanium alloy. HUVECs cultured on the surface nanostructured titanium alloy displayed significantly higher (p < 0.01 or p < 0.05) productions of nitric oxide (NO) and prostacyclin (PGI2) than those of native titanium alloy, respectively. This study provides an alternative for the development of titanium alloy based vascular stents.

Keywords:

Citation: Min Lai, Xiaofang Yang, Qing Liu, Jinghua Li, Yanhua Hou, Xiuyong Chen, Kaiyong Cai. The surface nanostructures of titanium alloy regulate the proliferation of endothelial cells[J]. AIMS Materials Science, 2014, 1(1): 45-58. doi: 10.3934/matersci.2014.1.45

Related Papers:

[1]	Xin Gao, Yue Zhang . Bifurcation analysis and optimal control of a delayed single-species fishery economic model. Mathematical Biosciences and Engineering, 2022, 19(8): 8081-8106. doi: 10.3934/mbe.2022378
[2]	Hongwei Sun, Qian Gao, Guiming Zhu, Chunlei Han, Haosen Yan, Tong Wang . Identification of influential observations in high-dimensional survival data through robust penalized Cox regression based on trimming. Mathematical Biosciences and Engineering, 2023, 20(3): 5352-5378. doi: 10.3934/mbe.2023248
[3]	Miin-Shen Yang, Wajid Ali . Fuzzy Gaussian Lasso clustering with application to cancer data. Mathematical Biosciences and Engineering, 2020, 17(1): 250-265. doi: 10.3934/mbe.2020014
[4]	Linqian Guo, Qingrong Meng, Wenqi Lin, Kaiyuan Weng . Identification of immune subtypes of melanoma based on single-cell and bulk RNA sequencing data. Mathematical Biosciences and Engineering, 2023, 20(2): 2920-2936. doi: 10.3934/mbe.2023138
[5]	Wentao Hu, Yufeng Shi, Cuixia Chen, Ze Chen . Optimal strategic pandemic control: human mobility and travel restriction. Mathematical Biosciences and Engineering, 2021, 18(6): 9525-9562. doi: 10.3934/mbe.2021468
[6]	Shuo Sun, Xiaoni Cai, Jinhai Shao, Guimei Zhang, Shan Liu, Hongsheng Wang . Machine learning-based approach for efficient prediction of diagnosis, prognosis and lymph node metastasis of papillary thyroid carcinoma using adhesion signature selection. Mathematical Biosciences and Engineering, 2023, 20(12): 20599-20623. doi: 10.3934/mbe.2023911
[7]	Peiqing Lv, Jinke Wang, Xiangyang Zhang, Chunlei Ji, Lubiao Zhou, Haiying Wang . An improved residual U-Net with morphological-based loss function for automatic liver segmentation in computed tomography. Mathematical Biosciences and Engineering, 2022, 19(2): 1426-1447. doi: 10.3934/mbe.2022066
[8]	Jiaxi Lu, Yingwei Guo, Mingming Wang, Yu Luo, Xueqiang Zeng, Xiaoqiang Miao, Asim Zaman, Huihui Yang, Anbo Cao, Yan Kang . Determining acute ischemic stroke onset time using machine learning and radiomics features of infarct lesions and whole brain. Mathematical Biosciences and Engineering, 2024, 21(1): 34-48. doi: 10.3934/mbe.2024002
[9]	Taniya Mukherjee, Isha Sangal, Biswajit Sarkar, Qais Ahmed Almaamari . Logistic models to minimize the material handling cost within a cross-dock. Mathematical Biosciences and Engineering, 2023, 20(2): 3099-3119. doi: 10.3934/mbe.2023146
[10]	Chengkang Li, Ran Wei, Yishen Mao, Yi Guo, Ji Li, Yuanyuan Wang . Computer-aided differentiates benign from malignant IPMN and MCN with a novel feature selection algorithm. Mathematical Biosciences and Engineering, 2021, 18(4): 4743-4760. doi: 10.3934/mbe.2021241

Abstract

References

[1]	Rabin I, Shani M, Mursi J, et al. (2013) Effect of timing of thrombectomy on survival of thrombosed arteriovenous hemodialysis grafts. Vasc Endovascular Surg 47: 342-345. doi: 10.1177/1538574413487442
[2]	Sista S, Wen C, Hodgson PD, et al. (2011) The influence of surface energy of titanium-zirconium alloy on osteoblast cell functions in vitro. J Biomed Mater Res Part A. 97A:27-36. doi: 10.1002/jbm.a.33013
[3]	Blit PH, McClung WG, Brash JL, et al. (2011) Platelet inhibition and endothelial cell adhesion on elastin-like polypeptide surface modified materials. Biomaterials 32: 5790-5800. doi: 10.1016/j.biomaterials.2011.04.067
[4]	Ranella A, Barberoglou M, Bakogianni S, et al. (2010) Tuning cell adhesion by controlling the roughness and wettability of 3D micro/nano silicon structures. Acta Biomater 6: 2711-2720. doi: 10.1016/j.actbio.2010.01.016
[5]	Seo CH, Furukawa K, Montagne K, et al. (2011) The effect of substrate microtopography on focal adhesion maturation and actin organization via the RhoA/ROCK pathway. Biomaterials 32: 9568-9575. doi: 10.1016/j.biomaterials.2011.08.077
[6]	Bettinger CJ, Langer R, Borenstein JT. (2009) Engineering substrate topography at the microand nanoscale to control cell function. Angew Chem Int Ed 48: 5406-5415. doi: 10.1002/anie.200805179
[7]	Miller DC, Thapa A, Haberstroh KM, et al. (2004) Endothelial and vascular smooth muscle cell function on poly (lactic-co-glycolic acid) with nano-structured surfaces. Biomaterials 25: 53-61. doi: 10.1016/S0142-9612(03)00471-X
[8]	Miller DC, Haberstroh KM, Webster TJ. (2007) PLGA nanometer surface features manipulate fibronectin interactions for improved vascular cell adhesion. J Biomed Mater Res Part A 81A:678-684. doi: 10.1002/jbm.a.31093
[9]	Choudhary S, Haberstroh KM, Webster TJ. (2007) Enhanced functions of vascular cells on nanostructured Ti for improved stent applications. Tissue Eng Part A 13: 1421-1430. doi: 10.1089/ten.2006.0376
[10]	Liliensiek SJ, Wood JA, Yong J, et al. (2010) Modulation of human vascular endothelial cell behaviors by nanotopographic cues. Biomaterials 31: 5418-5426. doi: 10.1016/j.biomaterials.2010.03.045
[11]	Geetha M, Singh AK, Muraleedharan K, et al. (2001) Effect of thermomechanical processing on microstructure of a Ti- 13Nb-13Zr alloy. J Alloys Compd 329: 264-271. doi: 10.1016/S0925-8388(01)01604-8
[12]	Kent D, Wang G, Yu Z, et al. (2010) Pseudoelastic behaviour of a [beta] Ti-25Nb-3Zr-3Mo-2Sn alloy. Mater Sci Eng: A 527: 2246-2252. doi: 10.1016/j.msea.2009.11.059
[13]	Yu ZT, Zhou L. (2006) Influence of martensitic transformation on mechanical compatibility of biomedical β type titanium alloy TLM. Mater Sci Eng: A 438-440: 391-394.
[14]	Tong WP, Tao NR, Wang ZB, et al. (2003) Nitriding iron at lower temperatures. Science 299:686-688. doi: 10.1126/science.1080216
[15]	Zhu KY, Vasse A, Brisset F, et al. (2004) Nanostructure formation mechanism of α-titanium using SMAT. Acta Mater 52: 4101-4110. doi: 10.1016/j.actamat.2004.05.023
[16]	Tao NR, Tong WP, Wang ZB, et al. (2003) Mechanical and wear properties of nanostructured surface layer in iron induced by surface mechanical attrition Treatment. J Mater Sci Tech 19:563-566.
[17]	Wen M, Wen C, Hodgson P, et al. (2011) Wear behavior of pure Ti with a nanocrystalline surface layer. Appl Mech Mater 66-68: 1500-1504.
[18]	Wang ZB, Tao NR, Li S, et al. (2003) Effect of surface nanocrystallization on friction and wear properties in low carbon steel. Mater Sci Eng A 352: 144-149. doi: 10.1016/S0921-5093(02)00870-5
[19]	Zhao C, Han P, Ji W, et al. (2012) Enhanced mechanical properties and in vitro cell response of surface mechanical attrition treated pure titanium. J Biomater Appl 27:113-118. doi: 10.1177/0885328210393047
[20]	Zhao CL, Cao P, Ji WP, et al. (2011) Hierarchical titanium surface textures affect osteoblastic functions. J Biomed Mater Res Part A 99: 666-675.
[21]	Lai M, Cai KY, Hu Y, et al. (2012) Regulation of the behaviors of mesenchymal stem cells by surface nanostructured titanium. Colloids Surf B Biointerfaces 97: 211-220. doi: 10.1016/j.colsurfb.2012.04.029
[22]	Kent D, Wang G, Yu ZT, et al. (2011) Strength enhancement of a biomedical titanium alloy through a modified accumulative roll bonding technique. J Mech Behav Biomed Mater 4:405-416. doi: 10.1016/j.jmbbm.2010.11.013
[23]	Paladugua M, Kent D, Wang G, et al. (2010) Strengthening of cast Ti-25Nb-3Mo-3Zr-2Sn alloy through precipitation of α in two discrete crystallographic orientations. Mater Sci Eng: A527: 6601-6606.
[24]	Zhao C, Han P, Ji W, et al. (2012) Enhanced mechanical properties and in vitro cell response of surface mechanical attrition treated pure titanium. J Biomater Appl 27: 113-118. doi: 10.1177/0885328210393047
[25]	Geiger B, Tokuyasu KT, Dutton AH, et al. (1980) Vinculin, an intracellular protein localized at specialized sites where microfilament bundles terminate at cell membranes. Proc Natl Acad Sci USA 77: 4127-4131. doi: 10.1073/pnas.77.7.4127
[26]	Dolatshahi-Pirouz A, Jensen T, Kraft DC, et al. (2010) Fibronectin adsorption, cell adhesion, and proliferation on nanostructured tantalum surfaces. ACS Nano 4: 2874-2882. doi: 10.1021/nn9017872
[27]	Webster TJ, Schadler LS, Siegel RW, et al. (2001) Mechanisms of enhanced osteoblast adhesion on nanophase alumina involves vitronectin. Tissue Eng 7: 291-301. doi: 10.1089/10763270152044152
[28]	Ignarro LJ, Buga GM, Wood KS, et al. (1987) Endothelium-derived relaxing factor produced and released from artery and vein is nitric oxide. Proc Natl Acad Sci USA 84: 9265-9269. doi: 10.1073/pnas.84.24.9265
[29]	Palmer RMJ, Ferrige AG, Moncada S. (1987) Nitric oxide release accounts for the biological activity of endothelium-derived relaxing factor. Nature 327: 524-526. doi: 10.1038/327524a0
[30]	Mineo C, Deguchi H, Griffin JH, et al. (2006) Endothelial and antithrombotic actions of HDL. Circ Res 98: 1352-1364. doi: 10.1161/01.RES.0000225982.01988.93
[31]	Tang JR, Seedorf G, Balasubramaniam V, et al. (2007) Early inhaled nitric oxide treatment decreases apoptosis of endothelial cells in neonatal rat lungs after vascular endothelial growth factor inhibition. Am J Physiol Lung Cell Mol Physiol 293: 1271-1280. doi: 10.1152/ajplung.00224.2007
[32]	Cooney R, Hynes SO, Sharif F, et al. (2007) Gene-eluting stents: adenovirus-mediated delivery of eNOS to the blood. Gene Ther 14:396-404. doi: 10.1038/sj.gt.3302882
[33]	Zheng ZZ, Liu ZX. (2007) Activation of the phosphatidylinositol 3-kinase/protein kinase Akt pathway mediates CD151-induced endothelial cell proliferation and cell migration. Int J Biochem Cell Biol 39: 340-348. doi: 10.1016/j.biocel.2006.09.001
[34]	Lu J, Rao MP, MacDonald NC, et al. (2008) Improved endothelial cell adhesion and proliferation on patterned titanium surfaces with rationally designed, micrometer to nanometer features. Acta Biomater 4: 192-201. doi: 10.1016/j.actbio.2007.07.008

This article has been cited by:

1.	Anahita Ghazvini, Nurfadhlina Mohd Sharef, Siva Kumar Balasundram, Lai Soon Lee, A Concentration Prediction-Based Crop Digital Twin Using Nutrient Co-Existence and Composition in Regression Algorithms, 2024, 14, 2076-3417, 3383, 10.3390/app14083383
2.	丽鑫杨, Shanghai 50 Stock Index Tracking Research Based on Elastic Net Dimensionality Reduction Two-Step Estimation Regression Model, 2023, 13, 2163-1476, 7130, 10.12677/ORF.2023.136699
3.	Megat Syahirul Amin Megat Ali, Azlee Zabidi, Nooritawati Md Tahir, Ihsan Mohd Yassin, Farzad Eskandari, Azlinda Saadon, Mohd Nasir Taib, Abdul Rahim Ridzuan, Short-term Gini coefficient estimation using nonlinear autoregressive multilayer perceptron model, 2024, 10, 24058440, e26438, 10.1016/j.heliyon.2024.e26438
4.	Margaretha Ohyver, Achmad Choiruddin, Parameter Estimation of Geographically and Temporally Weighted Elastic Net Ordinal Logistic Regression, 2025, 13, 2227-7390, 1345, 10.3390/math13081345
5.	Elrasheid Elkhidir, Tirth Patel, James Olabode Bamidele Rotimi, Predictive Modelling for Residential Construction Demands Using ElasticNet Regression, 2025, 15, 2075-5309, 1649, 10.3390/buildings15101649

Reader Comments

Your name:*

Email:*
© 2014 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)