Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2023 Feb 4.
Published in final edited form as: Biomacromolecules. 2015 Apr 16;16(5):1534–1541. doi: 10.1021/acs.biomac.5b00062

Structure–Function Assessment of Mannosylated Poly(β-amino esters) upon Targeted Antigen Presenting Cell Gene Delivery

Charles H Jones 1,, Mingfu Chen 1,, Akhila Gollakota 1, Anitha Ravikrishnan 1, Guojian Zhang 1, Sharon Lin 1, Myles Tan 1, Chong Cheng 1, Haiqing Lin 1, Blaine A Pfeifer 1,*
PMCID: PMC9898688  NIHMSID: NIHMS1866194  PMID: 25848953

Abstract

Antigen presenting cell (APC) gene delivery is a promising avenue for modulating immunological outcomes toward a desired state. Recently, our group developed a delivery methodology to elicit targeted and elevated levels of APC-mediated gene delivery. During these initial studies, we observed APC-specific structure–function relationships with the vectors used during gene delivery that differ from current non-APC cell lines, thus, emphasizing a need to re-evaluate vector-associated parameters in the context of APC gene transfer. Thus, we describe the synthesis and characterization of a second-generation mannosylated poly(β-amino ester) library stratified by molecular weight. To better understand the APC-specific structure–function relationships governing polymeric gene delivery, the library was systematically characterized by (1) polymer molecular weight, (2) relative mannose content, (3) polyplex biophysical properties, and (4) gene delivery efficacy. In this library, polymers with the lowest molecular weight and highest relative mannose content possessed gene delivery transfection efficiencies as good as or better than commercial controls. Among this group, the most effective polymers formed the smallest polymer-plasmid DNA complexes (~300 nm) with moderate charge densities (<10 mV). This convergence in polymer structure and polyplex biophysical properties suggests a unique mode of action and provides a framework within which future APC-targeting polymers can be designed.

Graphical Abstract

graphic file with name nihms-1866194-f0001.jpg

INTRODUCTION

Gene delivery is a therapeutic treatment that is defined as the transport of recombinant genetic material (DNA and RNA) into target cells for the eventual modulation of host cell expression patterns. This form of treatment has been commercially applied to combat cancer or restore deficient enzyme activity and has been documented as a strategy for addressing notable elusive diseases (e.g., HIV).1,2 Driving the approach is the choice of delivery vector or technique, including biomaterials (polymers and lipids), biological vehicles (bacteria, viruses, and other alternatives), and physically derived mechanisms (e.g., electro-poration). Of particular interest, cationic polymers (CP) represent a viable gene delivery option due to their notable design plasticity, low cytotoxicity, and effective delivery outcomes.3-6 Within this set of vectors, poly(β-amino esters) (PBAEs) have been used extensively in the successful delivery of various genetic cargo in both in vitro and in vivo applications.7-10 Current gene delivery research has predominately focused on engineering criteria toward optimal uptake and processing that is applicable for all cell types.1 Designing CPs for universal cellular uptake directs polyplexes (polymer complexed to plasmid DNA [pDNA]) through generalized mechanisms that result in ubiquitous (nonspecific) delivery outcomes when applied in vivo. Indeed, general administration can prompt powerful systemic responses that are often critical toward alleviating diseases that afflict multiple tissue/organ systems but are largely ineffective when targeting diseases that require spatially acute responses.1

In an effort to provide cell or tissue targeting, numerous strategies have been employed that include restriction of genetic cargo activity to a desired cell type via tissue-specific promoters.11 Specificity has also been achieved by engineering the PBAE component via grafting of cell-homing ligands,12 tuning of the polyplex physical characteristics,13,14 or the inclusion of stimulus-driven release.15 We previously demonstrated the ability to simultaneously restrict and increase delivery to antigen presenting cells (APCs; macrophages and dendritic cells) both in vitro and in vivo via novel chemical linkage of mannose to the terminal ends of amine-capped PBAEs to serve as polymeric genetic vaccine vectors.12,16 Mannose was selected as the grafting ligand due to the upregulation of the corresponding receptor (CD206) on the surface of APCs.17 CD206 is a member of the calcium-dependent lectin family that selectively recognizes polysaccharides (mannose, fucose, and N-acetylglucoseamine), which are commonly present on pathogens.18 In addition, previous studies have suggested that inclusion of mannose induces an alternative processing mechanism of the polyplex that is more permissive toward gene delivery and eventual production of antigenic peptides.12,19

During our initial studies using mannosylated PBAEs (PBAE-Man), a library of structurally diverse polymers was assessed for optimal gene delivery. Due to the limited number of polymers assessed and an incomplete understanding of fundamental APC-associated vector processing steps, limited information was ascertained regarding the polymeric features governing gene delivery results. However, initial trends suggested that, contrary to the existing paradigm (as it relates to non-APCs),1,3 gene delivery was inversely correlated with molecular weight. Specifically, the lowest molecular weight polymers provided optimal gene delivery.12 However, recent studies have high-lighted the need for cell-specific evaluation of gene delivery vectors as structure–function relationships are not universal.20

Given the contradictory nature of these findings, we designed the present study to analyze gene delivery outcomes by utilizing a library of stratified molecular weights of the previously identified optimally performing polymer. In so doing, statistically significant structure–function trends emerged that prompt the reconsideration of design parameters for CP-based APC gene delivery vectors. In addition, out of necessity to improve the throughput of fundamental polymer characterization techniques, we developed an NMR-based approach to evaluate polymer degradation profiles that significantly reduces experimental cost and instrumentation time.

MATERIALS AND METHODS

Measurements.

All 1H NMR spectra were measured at 500 MHz in d-DMSO using a Varian INOVA-500 spectrometer maintained at 25 °C with tetramethylsilane (TMS) as an internal reference standard. GPC data were acquired from a Viscotek system equipped with a VE-3580 refractive index (RI) detector, a VE 1122 pump, and two mixed-bed organic columns (PAS-103M and PAS-105M). Dimethylformamide (DMF; HPLC) containing 0.01 M LiBr was used as a mobile phase with a flow rate of 0.5 mL/min at 55 °C. The GPC instrument was calibrated through narrowly dispersed linear polystyrene standards purchased from Varian. Average hydrodynamic diameters (Dh) and zeta potential of polyplexes were obtained using DLS on a Zetasizer nano-ZS90 (Malvern, Inc.) at 25 °C. All experiments were conducted using a 4 mW 633 nm HeNe laser as the light source at a fixed measuring angle of 90° to the incident laser beam. The correlation decay functions were analyzed by cumulants method coupled with Mie theory to obtain volume distribution. Microplate experiments were analyzed using a Synergy 4 Multi-Mode Microplate Reader (BioTek Instruments, Inc.). FACS analysis was conducted using a Calibur flow cytometer (Becton Dickinson, Franklin Lakes, NJ).

Materials.

Monomers were purchased from Sigma-Aldrich (St. Louis, MO). Acetone (HPLC), DMF (HPLC), DMSO (≥99.7%), heat inactivated FBS, MEM sodium pyruvate, HEPES buffer, penicillin/streptomycin solution, d-(+)-glucose, and RPMI-1640 were purchased from Fisher Scientific (Pittsburgh, PA). Allyl alcohol (≥99%), d-(+)-mannose (cell culture grade), and 4-toluenesulfonyl chloride (p-TsCl) were purchased from Sigma-Aldrich (St. Louis, MO). Phosphate buffered saline (PBS) and 3 M sodium acetate (NaOAc) were purchased from Life Technologies (Grand Island, NY).

Synthesis of Allyl-α-d-mannopyranoside (ADM).

ADM was synthesized by dissolving 3 g of d-(+)-mannose and 18 mg p-TsCl in allyl alcohol (20 mL) at 90 °C under reflux for 24 h. The resulting reaction solution was concentrated by vacuum distillation at 35 °C.

Synthesis of Mannosylated Poly(β-amino esters).

Mannosylated-PBAEs (PBAE-Man) were generated as before,12,16 except acrylate-terminated PBAEs were synthesized using a modified previous protocol20 in DMSO at 14 different amine/diacrylate molar ratios (using 1000 mg amine) for 5 days at 60 °C (Schematic 1). Variance of molar ratios permitted tunable control of the base polymer molecular weight (Table 1). Acrylate-terminated polymers were then reacted with excess ethylenediamine to amine-cap the terminal ends. Specifically, acrylate-terminated polymers were dissolved in DMSO at 167 mg/mL and reacted with 5 M ethylenediamine (in DMSO) at room temperature for 24 h. Amine-capped polymers were purified by dialysis followed by evaporation under vacuum. Dialysis procedures were conducted against acetone using molecular porous membrane tubing (Spectra/Por Dialysis Membrane, Spectrum Laboratories Inc.) with an approximate molecular weight cut off at 3500 Da. Amine-capped PBAEs were then reacted with ADM at a 1:2 molar ratio in DMSO at 90 °C for 24 h and then purified via dialysis as before. Structure and purity of polymers were confirmed using 1H NMR spectroscopy.

Table 1.

Polymer Synthesis and Characterization

polymer D/A
ratio
PDIGPC MnGPC
(Da)
MwGPC
(Dwa)
zeta
potential
(mV) PBS
(pH 7.4)
zeta
potential
(mV)
NaOAc
(pH 5.15)
 P1 1.025 2.477 13623 33745 −8.6 32.6
 P2 1.0375 1.641 13425 22031 −5.3 34.0
 P3 1.05 1.536 11961 18372 −6.2 33.6
 P4 1.0625 1.370 11848 16232 −8.3 32.4
 P5 1.075 1.629 10474 17063 −7.7 32.7
 P6 1.1 1.642 10130 16633 −8.8 34.6
 P7 1.125 1.833 7902 14484 −8.0 31.9
 P8 1.15 1.468 7312 10734 −11.1 27.5
 P9 1.175 1.699 6589 11195 −12.1 28.6
 P10 1.2 1.549 5966 9241 −11.2 24.9
 P11 1.225 1.590 5510 8761 −11.4 26.4
 P12 1.25 1.600 5112 8180 −12.7 24.0
 P13 1.275 1.638 4673 7654 −12.9 20.9
 P14 1.3 1.615 4479 7234 −11.2 21.4

Degradation Studies.

Desiccated PBAE samples were resuspended to a concentration of 20 mg/mL. RPMI-1640 (pH 7.4) and 25 mM NaOAc buffer (pH 5.15) with 50% FBS were used as the suspension media. Alternatively, for some samples, water (pH 7.4) was used as the suspension medium. Solutions were sealed in glass vials and incubated at 37 °C with mild shaking. At predefined time intervals, aliquots of 0.5 mL of polymer solution were withdrawn and fully dried under vacuum. The resulting polymer was dissolved in d-DMSO for 1H NMR analysis.

To perform degradation studies in various buffers, 1H NMR spectroscopy was utilized to calculate the relative hydroxyl group generation based on the resonance intensities of the OH protons of the degradants at 4.2–4.5 ppm relative to the 12 CH2 protons at 3.95–4.05, 2.6–2.7, and 1.3–1.4 ppm of the undegraded polymer (Index). This value was then analyzed to yield a relative degradation metric, which has been termed the Relative Hydroxyl Group Increase (RHGI). RHGI was calculated by

RHGI=(OHIndex)HH

Hydroxyl group from the degradation resultant:

OH=I(4.54.2)

Methylene groups (as a reference of hydrogen amount) from the degradation resultant:

H=(I(4.053.95)+I(2.72.6)+I(1.41.3))12

Index from the original undegraded polymer:

Index=I(4.54.2)(I(4.053.95)+I(2.72.6)+I(1.41.3))12

Degradation for each polymer was determined by linear regression using the RHGI value of the seventh day divided by two as the as respective half-life value. For example, Pl4 in RPMI with serum has a seventh day RGHI value of 2.3 (SI, NMRDegradation Data Set), which when halved is 1.15. Using regression analysis and other RGHI values, the half-life is approximately 8 h. For comparison to established techniques, degradation samples prepared and processed as described above were withdrawn and fully dried under vacuum, and each resulting polymer sample was dissolved in DMF for GPC analysis (Figure S1).

Preparation of Polymer/pDNA Polyplexes.

Polyplexes were prepared by electrostatic interaction between respective PBAEs and pDNAby mixing three different weight ratios (50:1, 100:1, and 200:1) of polymer to 500 ng of pDNA First, working dilutions of PBAEs were prepared in 25 mM NaOAc (pH 5.15) to a final concentration of 4 mg/mL. Depending on the desired weight ratio, differing amounts of PBAE stock solution were mixed with pDNA in 25 mM NaOAc (pH 5.15), gently vortexed, and incubated for 30 min. Taking a 200:1 polyplex as an example, 125 μL ofPBAE stock solution was mixed with 2500 ng pDNA and 25 mM NaOAc (pH 5.15), as needed, to provide a final volume of 150 μL, which was then distributed as 500 ng pDNA/well.

Polyplex Characterization.

Using polyplexes prepared as described above, zeta potential and effective diameter were measured in either PBS (pH 7.4) or 25 mM NaOAc (pH 5.15). To assess polyplex serum stability via monitoring particle diameter changes over time, 200:1 polyplexes were incubated in either PBS (pH 7.4) or 25 mM NaOAc (pH 5.15) that each contained 50% v/v FBS. Polyplexes were analyzed for effective diameters monitored every 15 min and these values were then standardized by their respective serum-free diameter. All data points result from three independently formulated polyplex samples measured five times per sample.

Gene Delivery Assessments.

For gene delivery experiments, a RAW264.7 cell line (kindly provided by Dr. Terry Connell, Department of Microbiology and Immunology, University at Buffalo) was cultured in growth medium (50 mL of FBS (heat inactivated), 5 mL of 100 mM MEM sodium pyruvate, 5 mL of 1 M HEPES buffer, 5 mL of penicillin/streptomycin solution, and 1.25 g of d-(+)-glucose added to 500 mL RPMI-1640 and filter sterilized) in T75 flasks at 37 °C/5% CO2 prior to seeding at a density of 3 × 104 cells/well in clear, tissue culture-treated, sterile, polystyrene 96-well plates in 100 μL growth medium/well and allowed 24 h for attachment. Following the 24 h incubation, the original medium was removed and replaced with 100 μL fresh growth medium plus 30 μL of PBAE/pDNA polyplexes, prepared as described above (total volume of 130 μ fresh, antibiotic-free growth medium preheated to 36 °C. After 48 h (72 h after initial seeding), plates were analyzed for transfection efficiency using flow cytometry. To conduct flow cytometry assessment, cells were first washed with ice-cold PBS and detached from the well surface using cell scrapers. The fraction of EGFP-expressing cells was quantified using gating based upon transfections using pDNA not encoding EGFP (negative control). Commercial controls, FuGENE HD, Xfect, and JET-PEI were utilized according to different manufacturer’s instructions. Results derive from four independent experiments and 12 replicates per experiment.

To determine if transfection was affected by the presence of free mannose and physiological levels of serum, polyplexes were prepared at a 200:1 PBAE-to-pDNA weight ratio. Vectors were then transfected as before with the following alterations. Prior to transfection, cell media was replaced with growth medium containing 1 mM mannose or with 50% v/v FBS, incubated 30 min, and transfected as before. After the 4 h transfection incubation, the altered media was replaced with regular growth media and assessed for gene delivery as described above.

Mannose and serum sensitivities of gene delivery (as described in the main text) were calculated using the following formula:

sensitivity=GDIGDGD

where GD = uninhibited gene delivery and IGD = inhibited gene delivery.

Statistical Analysis.

Unless otherwise indicated, data presented were generated from three independent experiments. Error bars represent standard deviation values. All statistical significance comparisons between groups were performed using a one-way ANOVA with Dunnett (to compare within groups) post-tests.

RESULTS AND DISCUSSION

Polymer Synthesis and Characterization.

Polymers were synthesized using our recently developed mannose end-capping strategy (Scheme 1).12 However, unlike before, the ratio of diacrylate to amine monomers (D/A ratio) used in the synthesis of the base polymer (Scheme 1, step 2) was systematically varied. Variation of the D:A ratio was used to generate stratified molecular weight polymers with the same chemical background. Each respective PBAE structure and purity was confirmed using 1H NMR (Table 1). Gel permeation chromatography (GPC) and dynamic light scattering (DLS) were used to measure molecular weight, polydispersity index (PDI), and zeta potential (in two buffers) of the polymers (Table 1; Figure 1A). The generated polymer library spanned a molecular weight (weighted) range from 6.8 to 33.7 kDa with PDI values (~1.4–2.5) characteristic ofPBAEs. Furthermore, zeta potential values of the polymer library increased with increasing molecular weight regardless of buffer (Figure 1B,C).

Scheme 1. Polymer Synthesis Methodology for Mannosylated Poly(β-amino esters)a.

Scheme 1.

a(1) Allyl-α-d-mannopyranoside (ADM) was synthesized as a precursory reaction. (2) Diacrylate and amine monomers were co-polymerized to synthesize acrylate-terminated polymers (D4A4) that were then (3) amine-capped using an excess of ethylenediamine. (4) Amine-capped D4A4 (D4A4-EDA) molecules were then reacted with ADM to yield mannose-capped polymers.

Figure 1.

Figure 1.

Polymer characterization data. (A) Numbered polymer molecular weight as a function of diacrylate (D4) to amine (A4) monomer feed ratios. Data points have been labeled with the associated polymer name. Zeta potential measurements in either PBS (B) or 25 mM NaOAc (C) relative to numbered polymer molecular weight.

Polymer Degradation Studies.

A prerequisite for the translational usage of biomaterial-based delivery vectors is the successful demonstration of a balanced degradation profile. In particular, the degradation profiles of CPs play a critical role in predicting potential circulation residency time, genetic cargo unpackaging, gene delivery efficiency, and vector-associated cytotoxicity.1 Premature degradation profiles, for example, indicate potential fragility of polyplexes; whereas, extended stability may result in the inability to unpackage cargo in addition to increased cytotoxicity.1,3,21 Previously, we developed methodology that more accurately assessed degradation profiles in media that mimicked physiologically relevant settings.12 Specifically, polymers were incubated for various time points in water (pH 7.4; traditional degradation buffer) or either RPMI (pH 7.4; mimics the circulation/extracellular environment) or 25 mM NaOAc (pH 5.15; mimics the lysosome) with and without serum. However, a limitation of the previous technique was the reliance on GPC, which introduced time and cost constraints. For example, use of GPC for degradation studies requires regimented sample preparation, an hour instrumentation time per sample, and is not able to distinguish false positives or failures (usually due to contamination).

Taking into account the limitations of the previous methodology, we developed an NMR-based alternative that significantly reduces time- and cost-demands of degradation studies. In doing so, a new variable (Relative Hydroxyl Group Increase [RHGI]) was developed and used in the context of physiological-relevant buffers to calculate the relative half-life of each polymer (Table 2). The results indicate that degradation was independent of molecular weight and primarily influenced by buffer pH.

Table 2.

Polymer Degradation in Various Buffers

half-life (h)
polymer RPMI w/serum (pH 7.4) 25 mM NaOAc w/serum (pH 5.15)
 P1 4 4
 P2 5 4
 P3 3 5
 P4 6 4
 P5 4 3
 P6 7 4
 P7 5 4
 P8 8 4
 P9 6 7
 P10 9 4
 P11 6 4
 P12 5 4
 P13 4 4
 P14 8 8

Utilization of the RGHI methodology provides numerous advantages and opportunities for time- and cost-reductions (Figure S1). Specifically, using our 140 polymer samples (14 polymers × 5 time points × 2 buffers = 140) as an example, the traditional GPC method requires 140 h (1 h/sample) and $2800 ($20/sample [University at Buffalo Instrumentation quote]). In comparison, using the RGHI method reduces these requirements to 12 h and $700 and provides time and cost reductions that range from 12 to 18× and 2–4×, respectively.

Polyplex Preparation and Characterization.

To form polyplexes, three polymer/pDNA weight ratios were selected based upon our previous report.12 Specifically, 50:1, 100:1, and 200:1 were used in initial gene delivery experiments; whereas, only 200:1 was used during inhibition and structure–function studies (to be described later).

To assess the biophysical properties associated with polyplexes, DLS was used to measure the particle effective diameter and zeta potential in both 25 mM NaOAc and PBS (Figure 2). Polyplexes ranged in size from 300 to 1000 nm, increasing with higher molecular weights and (in most cases) polymer/pDNA weight ratios. Neutral pH conditions (PBS) prompted statistically significant tighter condensation of polyplexes (Figure 2B), presumably due to the lack of excessive protonation (which may promote aggregation1,3) and neutralization of all remaining charges by bound pDNA. Furthermore, polymer molecular weight was linearly correlated with increasing polyplex zeta potential and polyplex size (Figure S2A). In addition, for each unit molecular weight required to complex pDNA, there is a linear increase in mannose content (each individual polymer chain is capped with two mannose molecules) that may further influence condensation and zeta potential of polyplexes. When relative mannose content is taken into account, higher mannose content (associated with smaller polymer chains) also leads to reduced zeta potential and polyplex diameter values (Figure S2B).

Figure 2.

Figure 2.

Characterization summary of D4A4-Man polyplexes. Polyplex diameter (A, B) and zeta potential (C, D) in 25 mM NaOAc (left panels) or PBS (right panels). All panel B values were significantly lower (95% confidence) than corresponding values in panel A.

As a last form of assessment, polyplexes were prepared as described above, incubated in physiologically relevant media, and monitored for changes in relative diameter over time to determine polyplex stability (Figure S3). Upon incubation in 25 mM NaOAc containing 50% v/v serum (Figure S3A), relative polyplex diameters increased with respect to time for most polymers. The upper-half molecular weight polymers (P1–P7) displayed the largest relative changes in polyplex diameter. This observation presumably is the result of excessive protonation which may mediate nonspecific serum deposition or polyplex aggregation. Conversely, the lower-half molecular weight polymers (with exception to P8 and P10) did not display any appreciable changes in diameter over time. Upon incubation in PBS containing 50% v/v serum (Figure S3B), only P1 and P7 demonstrated changes in polyplex diameter. All other polymers mediated the formation of smaller polyplexes. This may be the result of a shielding effect conferred by the attachment of mannose combined with increased colloidal pressure (derived from increased negatively charged serum) driving the compaction of polyplexes.

Gene Delivery Studies.

Previously, we identified that mannosylation (either by chemical grafting or free addition) positively affected gene delivery in direct response to binding and processing through a CD206-dependent mechanism.12 However, despite successful transfection data, clear molecular weight trends were not observed due to the narrow range of molecular weights evaluated. Thus, the purpose of the present study is the systematic analysis of molecular weight upon APC-mediated gene delivery. Furthermore, polyplexes formed using three polymer/pDNA ratios were compared to select commercial controls (representing distinct categories of gene delivery vectors–lipid-based [FuGENE HD], unmodified CP [Xfect], mannosylated CP [JET-PEI]) during gene delivery to a murine macrophage cell line known to express CD206 (Figure 3).22-24 Transfection efficiency of polyplexes was found to correlate positively with increasing polymer/pDNA ratios (Figure 3A). Unexpectedly, for the highest polymer/pDNA ratio, gene delivery increased linearly with decreasing polymer molecular weight; the lowest molecular weight polymer (P14) mediated the highest gene delivery at a 200:1 ratio (Figure 3A,B). This finding is interesting because it is commonly accepted that higher molecular weight polymers mediate the highest gene delivery.1 However, previous studies were not applied to APCs, which are noted for their unique processing of external cargo.12 Accordingly, it is possible that the mannose-mediated uptake directs polyplexes toward endocytic mechanisms that are more permissive to gene delivery by lower molecular weight polymers. Alternatively, gene delivery improvements may be explained by a size-exclusion effect. Specifically, polyplexes larger than 500 nm are biased for phagocytosis-mediated uptake, which is known to be more degradative and less prone to phagosomal escape.4,5 At the lowest polymer/pDNA ratio (50:1), gene delivery is negatively correlated with decreasing molecular weight (Figure 3A). Presumably, this occurs because lower molecular weight polymers do not effectively condense pDNA at lower weight ratios, which results in increased fragility and degradation of the associated polyplexes. Thus, taking into account the optimal levels of gene delivery, 200:1 polyplexes were selected for subsequent gene delivery experiments.

Figure 3.

Figure 3.

Gene delivery summary. (A) Transfection efficiency (% EGFP positive cells) of commercial controls and D4A4-Man polyplexes at three different polymer-to-pDNA weight ratios. (B) Standardization of 200:1 transfection efficiency by top performing D4A4-Man (P14) variant. (C) Evaluation of mannose (1000 μM) and serum (50% v/v) inhibition of 200:1 polyplexes gene delivery efficiency. (D) Standardization of inhibited gene delivery with uninhibited values from (C). Colored arrows were added to help visualize the connection of the data to expected vector properties.

For PBAE-Man polyplexes to be successful in translational applications, gene delivery vectors must overcome the barriers present during circulation. Key gene delivery limitations include target specificity and the documented loss-of-activity in the presence of heightened levels of extracellular protein.1 These specific limitations result in significant off-target effects and premature aggregation, degradation, and clearance.3,25 As such, transfection was conducted using 200:1 polyplexes in the presence a CD206-inhibiting concentration of free mannose and a physiologically relevant level of serum (Figure 3C). All polyplexes exhibited significant (95% confidence) drops to both mannose and serum inhibitions. However, decreasing molecular weight resulted in the formation of polyplexes that were increasingly sensitive to mannose inhibition and decreasingly sensitive to serum inhibition. To better assess the capabilities of the polyplexes, inhibition values were standardized by their respective uninhibited gene delivery capabilities (Figure 3D). These findings demonstrate that the lower molecular weight polyplexes possess the highest specificity and stability. Moreover, these results support previous studies that demonstrated increased PBAE molecular weight does not always improve transfection.26,27 Collectively, these results suggest translational APC-targeting gene delivery polymers should be designed toward moderately charged and lower molecular weight alternatives.

Structure–Function Relationships.

During the initial steps of gene delivery, vector design and polyplex biophysical characteristics significantly influence the eventual outcome. First, mannose-grafting is a potent strategy toward improving gene delivery outcomes in APCs. Due to the complexity of polymer design, however, it is often difficult to identify the influence of targeting agents (i.e., mannosylation) from various polymer chemical properties. Our current experimental plan introduces the same chemical background to each polymer and, therefore, allows direct comparison of parameters such as polymer molecular weight, polyplex zeta potential and diameter, and mannosylation. Furthermore, given the size range of the polyplexes prepared in the current study (i.e., >~400 μm), internalization and processing is primarily restricted to phagocytic mechanisms.4,5,28,29

Polyplex zeta potential and size (diameter) are two critical properties mediating uptake, endosomal release, and subsequent gene delivery (Figure S4). Specifically, uninhibited gene delivery was negatively correlated with increasing polyplex zeta potential and diameter. In addition, there was not a statistical dependence of gene delivery upon charge or size in the presence of inhibiting concentrations of mannose; whereas, in physiological levels of serum, gene delivery was negatively correlated with increasing charge and size.

By normalizing mannose-inhibited gene delivery values with the gene delivery of the highest molecular weight polymer (P1), the resulting data allow an assessment of gene delivery as a function of polymer molecular weight without the influence of mannosylation (Figure 4A). Moreover, without mannose-mediated improvements, the established higher molecular weight paradigm is restored. Namely, gene delivery is correlated with higher molecular weight polymers (which also possessed the largest polyplex diameters and zeta potential values). These observations highlight the importance of biasing polyplexes toward mannose-mediated processing that in turn prompts the redirection into the recycling endocytic mechanism that is more permissive to gene delivery outcomes.12

Figure 4.

Figure 4.

Structure–function relationships of 200:1 polyplexes. (A) Mannose-inhibited transfection efficiencies for polymers P1–P14 standardized by P1 transfection values. Total % gene delivery sensitivity (B) as a function of polyplex zeta potential (C) and diameter (D) in 25 mM NaOAc (Ph 5.15). *Indicates the statistical decrease (95% confidence) between samples compared to P1.

Interestingly, the relative degree of inhibition (both mannose- and serum-dependent) demonstrated by each polyplex varied in a linear fashion with polymer molecular weight (Figures 3C,D), thus, prompting the development of a new comparative “sensitivity” metric (Figure 4B). Here, the percent change between uninhibited and inhibited gene delivery values was utilized to represent the likelihood of a particular parameter to inhibit gene delivery (i.e., higher sensitivity values indicate the higher likelihood of inhibited gene delivery in the presence of that particular parameter). Accordingly, mannose sensitivity was positively correlated with decreasing molecular weight; whereas, serum sensitivity was negatively correlated with decreasing molecular weight. This phenomenon is best explained by the interplay of polyplex relative mannose content, zeta potential, and diameter (Figure 4C,D). Polymers possessing the lowest molecular weight contain the highest relative mannose content, driving the formation of increasingly smaller sized and less cationic polyplexes (Figures S2 and S5). Consequently, the resulting polyplexes have smaller surface areas, which in turn enrich the relative mannose surface density. Collectively, these results suggest that increased serum surface deposition (attributed to electrostatically driven interactions between the residual cationic charges of the polyplex and the anionic serum proteins coupled with increasing surface area) promotes the physical coverage of mannose molecules and, thus, inhibits mannose-mediated uptake mechanisms. However, at the smallest polyplex sizes, the increased relative mannose surface density may serve a dual function in providing a shielding layer (similar to PEGylation) that simultaneously prevents serum deposition while also providing targeting capabilities.

In our initial studies using mannosylated PBAEs, the best performing polymer background, D4A4 (used in the current study), was further analyzed in a preliminary in vivo DNA vaccination study.12 Although both nonmannosylated and mannosylated D4A4 polymers elicited strong immune responses, only D4A4-Man was able to evoke a response statistically higher than the commercial controls. Furthermore, the structure–function analysis presented in the previous work was limited but provided a polymer chemical background basis for engineering polyplex gene delivery specific for APCs. Given the success of the initial study, the results in this work provide new in vitro findings that support further in vivo translation.

CONCLUSIONS

The library of polymers developed in this study highlights the unique ability of small, moderately charged, mannosylated PBAEs to elicit statistically significant levels of gene transfections in APCs. Taken together, the study provides fundamental insight into underlying structure–function relationships for APC-targeted gene delivery while also providing a cost-effective alternative to an established polymer degradation methodology.

Supplementary Material

SM

ACKNOWLEDGMENTS

The authors recognize support from NIH Award AI088485 (B.A.P.), a SUNY-Buffalo Schomburg fellowship (C.H.J.), and two Mark Diamond Research Fund Grants (A.R. and M.C.).

Footnotes

Supporting Information

Additional gene delivery and structure functions are presented. In addition, NMR-based degradation data are presented. This material is available free of charge via the Internet at http://pubs.acs.org.

The authors declare no competing financial interest.

REFERENCES

  • (1).Jones CH; Chen CK; Ravikrishnan A; Rane S; Pfeifer BA Overcoming nonviral gene delivery barriers: perspective and future. Mol. Pharmaceutics 2013, 10, 4082–98. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (2).Jones CH; Hakansson AP; Pfeifer BA Biomaterials at the interface of nano- and micro-scale vector–cellular interactions in genetic vaccine design. J. Mater. Chem. B 2014, 2, 8053–68. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (3).Pack DW; Hoffman AS; Pun S; Stayton PS Design and development of polymers for gene delivery. Nat. Rev. Drug Discovery 2005, 4, 581–93. [DOI] [PubMed] [Google Scholar]
  • (4).Jones CH; Chen CK; Jiang M; Fang L; Cheng C; Pfeifer BA Synthesis of cationic polylactides with tunable charge densities as nanocarriers for effective gene delivery. Mol. Pharmaceutics 2013, 10, 1138–45. [DOI] [PubMed] [Google Scholar]
  • (5).Chen CK; Jones CH; Mistriotis P; Yu Y; Ma X; Ravikrishnan A; Jiang M; Andreadis ST; Pfeifer BA; Cheng C Poly(ethylene glycol)-block-cationic polylactide nanocomplexes of differing charge density for gene delivery. Biomaterials 2013, 34, 9688–99. [DOI] [PubMed] [Google Scholar]
  • (6).Chen CK; Law WC; Aalinkeel R; Nair B; Kopwitthaya A; Mahajan SD; Reynolds JL; Zou J; Schwartz SA; Prasad PN; Cheng C Well-defined degradable cationic polylactide as nanocarrier for the delivery of siRNA to silence angiogenesis in prostate cancer. Adv. Healthcare Mater 2012, 1, 751–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (7).Lynn DM; Langer R Degradable poly(β-amino esters): synthesis, characterization, and self-assembly with plasmid DNA. J. Am. Chem. Soc 2000, 122, 10761–68. [Google Scholar]
  • (8).Guerrero-Cazares H; Tzeng SY; Young NP; Abutaleb AO; Quinones-Hinojosa A; Green JJ Biodegradable polymeric nanoparticles show high efficacy and specificity at DNA delivery to human glioblastoma in vitro and in vivo. ACS Nano 2014, 8, 5141–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (9).Sunshine JC; Sunshine SB; Bhutto I; Handa JT; Green JJ Poly(β-amino ester)-nanoparticle mediated transfection of retinal pigment epithelial cells in vitro and in vivo. PLoS One 2012, 7, e37543. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (10).Sunshine JC; Peng DY; Green JJ Uptake and transfection with polymeric nanoparticles are dependent on polymer end-group structure, but largely independent of nanoparticle physical and chemical properties. Mol. Pharmaceutics 2012, 9, 3375. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (11).Franz WM; Rothmann T; Frey N; Katus HA Analysis of tissue-specific gene delivery by recombinant adenoviruses containing cardiac-specific promoters. Cardiovasc. Res 1997, 35, 560–6. [DOI] [PubMed] [Google Scholar]
  • (12).Jones CH; Chen M; Ravikrishnan A; Reddinger R; Zhang G; Hakansson AP; Pfeifer BA Mannosylated poly(β-amino esters) for targeted antigen presenting cell immune modulation. Biomaterials 2015, 37, 333–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (13).Zugates GT; Tedford NC; Zumbuehl A; Jhunjhunwala S; Kang CS; Griffith LG; Lauffenburger DA; Langer R; Anderson DG Gene delivery properties of end-modified poly(β-amino ester)s. Bioconjugate Chem. 2007, 18, 1887–96. [DOI] [PubMed] [Google Scholar]
  • (14).Zugates GT; Anderson DG; Little SR; Lawhorn IE; Langer R Synthesis of poly(β-amino ester)s with thiol-reactive side chains for DNA delivery. J. Am. Chem. Soc 2006, 128, 12726–34. [DOI] [PubMed] [Google Scholar]
  • (15).Yin Q; Gao Y; Zhang Z; Zhang P; Li Y Bioreducible poly(β-amino esters)/shRNA complex nanoparticles for efficient RNA delivery. J. Controlled Release 2011, 151, 35–44. [DOI] [PubMed] [Google Scholar]
  • (16).Jones CH; Ravikrishnan A; Chen M; Reddinger R; Kamal Ahmadi M; Rane S; Hakansson AP; Pfeifer BA Hybrid biosynthetic gene therapy vector development and dual engineering capacity. Proc. Natl. Acad. Sci. U.S.A 2014, 111, 12360–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (17).Taylor ME Structure and function of the macrophage mannose receptor. Results Probl. Cell Differ. 2001, 33, 105–21. [DOI] [PubMed] [Google Scholar]
  • (18).Dasgupta S; Bayry J; Lacroix-Desmazes S; Kaveri SV Human mannose receptor (CD206) in immune response: novel insights into vaccination strategies using a humanized mouse model. Exp. Rev. Clin. Immunol 2007, 3, 677–81. [DOI] [PubMed] [Google Scholar]
  • (19).Simmons BM; Stahl PD; Russell JH Mannose receptor-mediated uptake of ricin toxin and ricin A chain by macrophages. Multiple intracellular pathways for a chain translocation. J. Biol. Chem 1986, 261, 7912–20. [PubMed] [Google Scholar]
  • (20).Sunshine J; Green JJ; Mahon KP; Yang F; Eltoukhy AA; Nguyen DN; Langer R; Anderson DG Small molecule end group of linear polymer determines cell-type gene delivery efficacy. Adv. Mater 2009, 21, 4947–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (21).Seow Y; Wood MJ Biological gene delivery vehicles: beyond viral vectors. Mol. Ther 2009, 17, 767–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (22).Gage E; Hernandez MO; O’Hara JM; McCarthy EA; Mantis NJ Role of the mannose receptor (CD206) in innate immunity to ricin toxin. Toxins 2011, 3, 1131–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (23).Wentworth JM; Naselli G; Brown WA; Doyle L; Phipson B; Smyth GK; Wabitsch M; O’Brien PE; Harrison LC Pro-inflammatory CD11c+CD206+ adipose tissue macrophages are associated with insulin resistance in human obesity. Diabetes 2010, 59, 1648–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (24).Wollenberg A; Mommaas M; Oppel T; Schottdorf EM; Gunther S; Moderer M Expression and function of the mannose receptor CD206 on epidermal dendritic cells in inflammatory skin diseases. J. Invest. Dermatol 2002, 118, 327–34. [DOI] [PubMed] [Google Scholar]
  • (25).Canine BF; Hatefi A Development of recombinant cationic polymers for gene therapy research. Adv. Drug Delivery Rev 2010, 62, 1524–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (26).Eltoukhy AA; Siegwart DJ; Alabi CA; Rajan JS; Langer R; Anderson DG Effect of molecular weight of amine end-modified poly(β-amino ester)s on gene delivery efficiency and toxicity. Biomaterials 2012, 33, 3594–603. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (27).Bishop CJ; Ketola TM; Tzeng SY; Sunshine JC; Urtti A; Lemmetyinen H; Vuorimaa-Laukkanen E; Yliperttula M; Green JJ The effect and role of carbon atoms in poly(β-amino ester)s for DNA binding and gene delivery. J. Am. Chem. Soc 2013, 135, 6951–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (28).Jones CH; Chen M; Ravikrishnan A; Reddinger R; Zhang G; Hakansson AP; Pfeifer BA Mannosylated poly(β-amino esters) for targeted antigen presenting cell immune modulation. Biomaterials 2015, 37, 333–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (29).Doshi N, Mitragotri S Macrophages recognize size and shape of their targets. PLoS One 5, 2010. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

SM

RESOURCES