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International Journal of Nanomedicine logoLink to International Journal of Nanomedicine
. 2013 Jan 7;8:159–166. doi: 10.2147/IJN.S36408

Increased healthy osteoblast to osteosarcoma density ratios on specific PLGA nanopatterns

Yongchen Wang 1, Lijuan Zhang 1, Linlin Sun 2, Thomas J Webster 2,3,
PMCID: PMC3544334  PMID: 23326191

Abstract

Poly(lactic-co-glycolic acid) ([PLGA] 50:50 wt% PLA:PGA) films with a flat surface and with 27 nm, 190 nm, 300 nm, 400 nm, and 520 nm nanopatterns were fabricated using a cast-mold process. The nanopatterns were transferred from self-assembled polystyrene (PS) beads to PLGA films through polydimethylsiloxane (PDMS) molds. The surface features, root-mean- square (RMS) roughness, and wettability of these PLGA surface features were studied by atomic force microscope (AFM) height scans, AFM z-sensor scans, and water contact angles, respectively. In order to evaluate the influence of the material topography alone (without changes in chemistry) for bone-cancer applications, both human healthy osteoblasts and human cancerous osteosarcoma cells were cultured on these PLGA surface features, and their densities were determined. Most importantly, compared to all other substrates, it was found that the 27 nm PLGA nanopatterns significantly increased the healthy osteoblast-to-osteosarcoma cell-density ratio. For these reasons, and since previous studies have highlighted that similar nanometer PLGA surface features decreased functions of other types of cancerous cells (specifically lung and breast), this study suggests that 27 nm PLGA nanopatterns should be further studied for a wide range of bone-cancer applications, particularly where healthy bone-cell functions need to be promoted over cancerous bone-cell functions.

Keywords: polymers, cancer, anti-cancer, surface nanometer features, bone, surface wettability

Introduction

In recent years, there have been a number of studies carried out to determine ways to manipulate cellular functions.13 In particular, substrate micro- and nanotopographies have been shown to provide critical cues for cells, influencing cell morphology and a series of other cell functions, including adhesion, migration, proliferation, differentiation, apoptosis, and so on.1,433 Studies focusing on bone cells and their cellular responses to nanotopographies have been widely conducted. For example, nanophase ceramics, titanium/Poly (lactic-co-glycolic acid) (PLGA) nanocomposites, nanoporous alumina, and nanophase metals have all been shown to increase bone growth.58 This phenomenon was mainly explained in that these nanotopographies mimic the natural nanofeatures of the bone extracellular matrix ([ECM] measured at a 78 nm root mean square roughness in a 5 × 5-micron atomic force microscope [AFM] scan10), which consists of interstitial matrices and basement membranes, presenting numerous nanoscale topographies and structures to cells.9 It has been demonstrated that these nanoscale features alter substrate surface energy to influence the adsorption of endogenous proteins, which dictates cellular functions, and thus regulates cell behavior.5

However, up until now, research on the interactions between cells and nanotopographies has mainly focused on healthy mammalian cells with less (if any) attention paid toward controlling cancer-cell functions. Of the few studies conducted on bone-cancer cells, nanoscale calcium phosphate particles were found to cause size-dependent suppression of osteosarcoma cell proliferation, inducing cell apoptosis due to changes in surface energetics.34,35 However, in such studies, the fundamental material properties (such as chemistry, crystallinity, and energy) responsible for such events remain unclear.

There is also much promise for the use of PLGA in orthopedic applications. First, PLGA has been widely studied in tissue engineering as a whole, in drug delivery systems, and in anticancer research because of its well-known tailorable biocompatibility and biodegradability properties. Second, previous work demonstrated that PLGA films with select nanopatterns inhibited functions of lung cancerous cells and breast cancerous cells while promoting respective healthy cell functions.3638 For example, compared to nanosmooth PLGA, for lung and breast cancerous cells, PLGA films with 23 nm surface features inhibited synthesis of vascular endothelial cell growth factor (VEGF), which increases tumor angiogenesis, allowing for metastasis.3638

In this work, cellular responses of human healthy osteoblasts and human cancerous osteosarcoma cells to different PLGA nanometer surface features were studied and compared for the first time. Due to the cast-mold process employed here, the chemistry of the various PLGA samples was the same; thus, the effects of the nanotopographies alone on osteoblast and osteosarcoma cell behavior could be isolated. For all of the above reasons, this study hypothesized that nanoscale surface features on polymers could increase healthy osteoblast over cancerous osteoblast density. Thus, the goal of this study was to determine if PLGA nanofeatures alone (and without the use of chemotherapeutic agents) could selectively decrease osteosarcoma responses while promoting healthy osteoblast responses – important criteria for numerous orthopedic applications, including generating new healthy bone after cancerous bone tumors have been removed.

Methods

Materials

PLGA nanopatterns of different sizes were fabricated using a cast-mold process (Figure 1). Nanopatterns were initially created by the self-assembly process of various polystyrene beads (Bangs Laboratories, Inc, Fishers, IN) of a series of sizes, including 27 nm, 190 nm, 300 nm, 400 nm, and 520 nm diameters placed on 18 mm glass coverslips (Thermo Fisher Scientific, Waltham, MA). The 18 mm glass coverslips were immersed in acetone for 10 minutes, sonicated in acetone for 10 minutes, washed with distilled (DI) water several times, immersed in ethanol for 10 minutes, sonicated in ethanol for 10 minutes, and washed with DI water several times in sequential order. After the coverslips were dry, 150 microliters of 27 nm polystyrene beads, 300 microliters of 190 nm polystyrene beads, 300 microliters of 300 nm polystyrene beads, 300 microliters of 400 nm polystyrene beads, and 300 microliters of 520 nm polystyrene beads were pipetted onto the top of each pretreated coverslip separately. In accordance with prior experimental evidence, different volumes of beads were used in order to create as much of a monolayer of beads on the glass surface as possible. The self-assembly of the negatively charged polystyrene beads occurred for 24 hours while the solvent evaporated in air at room temperature, creating the initial nanopatterns.

Figure 1.

Figure 1

The process of transferring nanopatterns from polystyrene beads to PLGA films through the use of PDMS molds. (A) Self-assembly of polystyrene beads with diameters of 27 nm, 190 nm, 300 nm, 400 nm, and 520 nm on the 18 mm coverslips. (B) Assembling the coverslips with the polystyrene beads on the top side of the glass columns. (C) Assembling the glass columns onto the bottom of petri dishes. (D) The PDMS molds with a nanofeatured surface on the bottom of each well. (E) A PLGA solution was added at a ratio of 1 mL into each well of the PDMS molds. (F) Chloroform vaporized and PLGA nanopatterns of 27 nm, 190 nm, 300 nm, 400 nm, and 520 nm were fabricated. (G) Assembling PLGA films on 12 mm coverslips.

Notes: The gray color represents the surface with nanopatterns. Controls consisted of PLGA created without the use of any beads (ie, flat).

Abbreviations: PDMS, polydimethylsiloxane; PLGA, poly(lactic-co-glycolic acid).

Then, the coverslips with polystyrene beads were assembled on the top side of the glass columns, of which the diameter of the underside was customized to 18 mm, and the bottoms of the glass columns were assembled onto the petri dishes with a commercialized glue (Caliber, New York, NY). Next, 100 mL of a mixture of polydimethylsiloxane ([PDMS] Dow Corning Corporation, Midland, MI), prepared according to manufacturer’s instructions, was poured into the petri dishes, and the polymerization took place in contact with the self-assembled polystyrene beads for 48 hours. This was done in order to transfer the nanopatterns from the polystyrene beads to the PDMS molds. The PDMS molds with a flat surface were also synthesized as a control group by using smooth pretreated coverslips without polystyrene beads. All PDMS molds with nanopatterns were washed with chloroform five times for 5 minutes each time to remove polystyrene bead residuals. After that, the PDMS molds were placed into the lids of petri dishes with 15 mL of a mixture of PDMS at a ratio of 10:1 for another 48 hours. Then, PDMS molds were stabilized by a PDMS base in order to minimize the deformation of the molds induced by the chloroform used later.

Next, PLGA (50:50 wt% PLA:PGA; molecular weight: ~150,000) (Polysciences, Inc, Warrington, PA) was dissolved in chloroform at a ratio of 0.5 g PLGA/8 mL chloroform for 1 hour and ultrasonicated for 10 minutes. Afterward, 1 mL of this PLGA solution was added to the PDMS molds for each sample. After 48 hours, the chloroform evaporated, and PLGA films with nanopatterns of various sizes on the surface were synthesized by replicating the nanopatterns from the PDMS molds onto the PLGA film surfaces. Finally, the PLGA films were assembled on the 12 mm coverslips (Thermo Fisher Scientific), with the nanopatterns facing up for further characterization and cell studies.

Material characterization

The surface features of the PLGA films were studied using an MFP-3DTM Stand Alone AFM (Asylum Research, Goleta, CA). AFM contact mode was selected with a sharp-tipped AFM cantilever with a K-value of 0.06 N/m; the scanning size used was 5 μm × 5 μm. The root-mean-square (RMS) roughness values and surface area of PLGA nanopatterns were calculated from the flattened AFM z-sensor scan images by the AFM analysis software Igor Pro (v 1; WaveMetrics, Inc, Lake Oswego, OR). The wettability of PLGA nanopatterns was evaluated by measuring the water contact angles of the PLGA films with a DSA10 contact-angle goniometer (KRÜSS GmbH, Hamburg, Germany). EasyDrop software (v 1; EasyDrop, Minneapolis, MN) was used to operate the measurements and record the data. Three microliters of H2O was dropped on the sample surface at a rate of 100 μL/minute and the contact angle was measured every second in the following 60 seconds. The average value of contact angle was calculated from nine samples for each surface feature.

Cell studies

Human healthy osteoblasts (CRL-11372; American Type Culture Collection [ATCC], Manassas, VA; established by transfection of limb tissue) were cultured in Dulbecco’s modified Eagle’s medium (DMEM) containing 1% penicillin/ streptomycin (P/S) and 10% fetal bovine serum (FBS). Human cancerous osteosarcoma cells (CRL-1427; ATCC; MG-63 isolated from bone cancer from a 14-year-old male) were cultured in Eagle’s minimum essential medium (EMEM) containing 1% P/S and 10% FBS. All cells were cultured in cell-culturing flasks (Corning Incorporated, Corning, NY) under a humidified 37°C 5% CO2 environment.

Four-hour cell adhesion assays (seeding cell density: 3500 cells/cm2) were assessed by 3-(4,5-Dimethylthiazol- 2-yl)-2,5-diphenyltetrazolium bromide (MTT) assays to evaluate osteoblast and osteosarcoma cell density on the various PLGA surface features. Three samples were prepared for each surface feature. The PLGA films were pretreated with 70% ethanol for sterilization for 20 minutes and washed with phosphate-buffered saline (PBS) three times. Then, three samples were placed into 24-well plates (Corning Incorporated). Both osteoblasts and osteosarcoma cell suspensions (3500 cells/cm2) in their respective growth mediums were added (1 mL) to each sample. The cells were cultured on the PLGA films in an incubator with the aforementioned standard culturing environment for 4 hours. After 4 hours, the samples were transferred into another 24-well plate, and 1 mL of fresh medium and 150 μL of dye solution (Promega Corporation, Fitchburg, WI) were added to each sample. After the samples were kept in the incubator for another 4 hours, 1 mL of a solubilization/stop solution (Promega Corporation) per sample was added. Overnight, the solution over each sample was transferred into a 96-well plate (Corning Incorporated) at a ratio of 200 μL per well, and the absorbance of the solution was read by a SpectraMax 340PC384 Absorbance Microplate Reader (Molecular Devices LLC, Sunnyvale, CA) under a wavelength of 570 nm, and the absorbance was converted to cell density according to a standard curve. For the creation of a standard curve, cell numbers were counted with a hemocytometer.

Statistical analysis

All studies were completed in triplicate and repeated at least three times each. All experimental data were analyzed using a one-tailed Student’s t-test supplied by a Microsoft Office Excel 2007 (Microsoft Corporation, Redmond, WA); a P-value less than 0.05 was regarded as significant.

Results and discussion

Surface characterization of PLGA nanopatterns

AFM images (Figure 2) confirmed that all the expected PLGA surface features, including 27 nm, 190 nm, 300 nm, 400 nm, and 520 nm nanopatterns and a flat surface, were created in this study. More importantly, the 27 nm PLGA nanopatterns exhibited the largest RMS roughness value, and their surfaces were the most hydrophobic (Table 1). The flat PLGA surfaces showed the smallest RMS roughness value, and its surface was the most hydrophilic. Surface area increased by 276%, 25%, 75%, 68%, and 72%, compared to the flat surfaces, for the 27 nm, 190 nm, 300 nm, 400 nm, and 520 nm nanopatterns, respectively.

Figure 2.

Figure 2

Height scan AFM images of the flat PLGA film and the PLGA films with nanopatterns on the surface. (A) Control (flat) PLGA film. (B) PLGA film with 27 nm nanopatterns on the surface. (C) PLGA film with 190 nm nanopatterns on the surface. (D) PLGA film with 300 nm nanopatterns on the surface. (E) PLGA film with 400 nm nanopatterns on the surface. (F) PLGA film with 520 nm nanopatterns on the surface (scanning sizes: 5 μm × 5 μm).

Abbreviations: AFM, atomic force microscope; PLGA, poly(lactic-co-glycolic acid).

Table 1.

RMS roughness values obtained from AFM and water contact angles on the flat PLGA film and PLGA films with 27 nm nanopatterns, 190 nm nanopatterns, 300 nm nanopatterns, 400 nm nanopatterns, and 520 nm nanopatterns on the surface

Subgroup Flat 27 nm 190 nm 300 nm 400 nm 520 nm
RMS 0.710 nm 40.123 nm 4.535 nm 25.553 nm 18.950 nm 24.973 nm
Average deviation 0.539 nm 35.068 nm 3.492 nm 15.379 nm 15.607 nm 18.436 nm
Average contact angle 84.28° 97.18° 89.56° 95.54° 91.01° 95.47°
Standard deviation 1.97° 1.13° 2.21° 2.09° 2.29° 1.99°

Note: Control PLGA consisted of no surface features (flat).

Abbreviations: AFM, atomic force microscopy; PLGA, poly(lactic-co-glycolic acid); RMS, root-mean-square.

Increased healthy osteoblast-to-osteosarcoma cell-density ratio on 27 nm PLGA surfaces

Strikingly, results showed that the 27 nm patterned PLGA had the largest ratio of healthy osteoblast-to-osteosarcoma cell density compared to that of any other material tested (Table 2; Figure 3). Due to the design of this study, it was possible to further conclude that changes in chemistry between the 27 nm patterned PLGA and other PLGA substrates did not cause this difference. Consequently, to further investigate the material properties responsible for this effect, correlations between osteoblast or osteosarcoma cell density and the material surface properties, including RMS roughness and wettability, were determined. From the correlation plots and associated R2 and R-values (Table 3; Figure 4), stronger correlations were found between either osteoblast or osteosarcoma cell density and the RMS roughness of the various PLGA nanopatterns than were found between either osteoblast or osteosarcoma cell density and the wettability of the various PLGA nanopatterns. These results indicate for the first time a higher degree of correlation between the ratio of healthy osteoblast density to osteosarcoma cell density on PLGA with altered nanoscale roughness than on PLGA with altered surface energy.

Table 2.

Ratio of healthy OB density to OS cell density cultured on the same PLGA surface features

Subgroup Flat 27 nm 190 nm 300 nm 400 nm 520 nm
OB cell density 1237.172 2826.876 1069.718 1549.777 1446.091 1098.095
OS cell density 1180.288 1912.053 1405.786 1195.309 1235.786 1382.309
OB/OS ratio 1.048195 1.478451 0.76094 1.296549 1.170179 0.794392

Note: Control PLGA consisted of no surface features (flat).

Abbreviations: OB, osteoblast; OS, osteosarcoma; PLGA, poly(lactic-co-glycolic acid).

Figure 3.

Figure 3

Four-hour cell adhesion results of healthy osteoblasts and osteosarcoma cells (n = 3; seeding density: 3500 cells/cm2).

Notes: The cell densities are average values ± SEM. For osteoblasts alone, *, **, and *** represent P < 0.05 compared with the flat, 27 nm, and 300 nm surface features, respectively. For osteosarcoma cells alone, ^, ^^, ^^^, and ^^^^ represent P < 0.05 compared with the flat, 27 nm, 190 nm, and 300 nm surface features, respectively. For osteosarcoma cell density, + represents P < 0.05 for osteosarcoma cell density compared with healthy osteoblast density on the same surface features. Control PLGA consisted of no surface features (flat).

Abbreviations: PLGA, poly(lactic-co-glycolic acid); SE M, standard error of the mean.

Table 3.

R2-values and R-values of the correlation plots of healthy OB density/RMS roughness values obtained from AFM, healthy OB density/contact angle, OS cell density/RMS values obtained from AFM, and OS cell density/contact angle

Subgroup OB density and RMS OB density and contact angle OS cell density and RMS OS cell density and contact angle
R2 values 0.5882 0.2990 0.4392 0.3117
R values 0.7669 0.5468 0.6627 0.5583

Abbreviations: AFM, atomic force microscopy; OB, osteoblast; OS, osteosarcoma cell; RMS, root-mean-square.

Figure 4.

Figure 4

Correlation plots of healthy osteoblast density/RMS roughness values obtained from AFM, healthy osteoblast density/contact angle, osteosarcoma cell density/RMS roughness values obtained from AFM, and osteosarcoma cell density/contact angle.

Abbreviations: AFM, atomic force microscopy; RMS, root-mean-square.

These results can be explained with respect to several things. First, higher RMS roughness values may equate to larger surface areas, and thus to more sites for the adsorption of the proteins that regulate cell adhesion. However, this does not explain why specifically 27 nm PLGA features were the best at increasing healthy to cancerous bone-cell density. Thus, it is important to mention that the RMS roughness value of the 27 nm PLGA nanopatterns was the closest to the roughness of the natural bone matrix.10 It has been speculated that cancerous bone has a different nanoscale roughness. In addition, 27 nm is the dimension closest to that of the endogenous proteins (such as vitronectin and fibronectin) that can adsorb to material surfaces to mediate cell adhesion; such nanoscale surface features may alter adsorbed protein bioactivity more easily than can smooth surface features.39,40 Clearly, future studies need to determine the exact mechanistic correlation between the PLGA nanopatterns on the responses of osteoblasts and osteosarcoma cells, and the reason for the observed difference between healthy osteoblast adhesion and osteosarcoma cell adhesion.

Conclusion

Using self-assembled polystyrene beads and PDMS molds as templates, an effective and inexpensive method of fabricating PLGA nanopatterns was developed in this study. Among the various PLGA surface features, the 27 nm PLGA nanopatterns showed a significant osteoblast density increase compared with the osteosarcoma cells. Upon further examination, a relatively strong correlation was found between either healthy osteoblast or osteosarcoma cell adhesion and the RMS roughness of PLGA surface features, thus indicating the importance of this surface-feature nanometer size for the design of better orthopedic anticancer medical devices.

Acknowledgment

We would like to thank the Herman Foundation for their financial support and Dr Vera Fonseca and Professor Eric Darling for their technical support with the AFM.

Footnotes

Disclosure

The authors report no conflicts of interest in this work.

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