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Theranostics2017ResearchNon-viral Gene Delivery

Surface De-PEGylation Controls Nanoparticle-Mediated siRNA Delivery In Vitro and In Vivo

Xi Zhu, Wei Tao, Danny Liu, Jun Wu, Zilei Guo, Xiaoyuan Ji, Zameer Bharwani, Lili Zhao, Xiaoping Zhao, Omid C. Farokhzad, Jinjun ShiDOI 10.7150/thno.18136

Summary

Surface PEGylation of nanoparticles (NPs) improves circulation time and tumor accumulation but also hinders intracellular delivery, creating the "PEG dilemma" for siRNA therapeutics. While stimuli-responsive de-PEGylation strategies exist, they add complexity to NP design and synthesis. A tunable, serum albumin-mediated de-PEGylation strategy that avoids complex stimuli-responsive chemistry could balance long circulation with effective. ### Nanoparticle Properties | Parameter | Result | |---------------|------------| | Size (DMF) | ~60-70 nm | | Zeta potential (neutral lipid-PEGs) | ~+8 mV | | Zeta potential (anionic lipid-PEGs) | ~−7 mV | | siRNA.

Purpose: Surface PEGylation of nanoparticles (NPs) improves circulation time and tumor accumulation but also hinders intracellular delivery, creating the "PEG dilemma" for siRNA therapeutics. While stimuli-responsive de-PEGylation strategies exist, they add complexity to NP design and synthesis. A tunable, serum albumin-mediated de-PEGylation strategy that avoids complex stimuli-responsive chemistry could balance long circulation with effective intracellular siRNA delivery.
Hypothesis: Lipid-PEG molecules on the surface of lipid-polymer hybrid siRNA NPs can dissociate in the presence of serum albumin. The dissociation kinetics—determined by the lipophilic tail properties (length, saturation, and charge) of lipid-PEGs—will control cellular uptake, pharmacokinetics, biodistribution, and gene silencing efficacy. Optimal de-PEGylation kinetics will balance prolonged circulation (for tumor accumulation via EPR) with efficient intracellular delivery (for gene silencing), enabling effective siRNA delivery in vivo.
Aims: 1. Synthesize and characterize self-assembled lipid-polymer hybrid NPs loaded with siRNA, using different lipid-PEGs with varying alkyl chain length, saturation, and charge 2. Measure lipid-PEG dissociation kinetics in the presence of serum albumin and determine the effect of lipid-PEG properties on de-PEGylation rate 3. Evaluate in vitro siRNA delivery including tumor cell uptake, macrophage uptake, and luciferase gene silencing efficiency for NPs with different lipid-PEGs 4. Assess in vivo performance including pharmacokinetics, biodistribution, tumor accumulation, and gene silencing efficacy in a Luc-HeLa xenograft model 5. Establish correlations between lipid-PEG dissociation kinetics and NP performance to identify optimal lipid-PEG properties for siRNA delivery
Delivery system:

Component: Nanoparticle Core; Description: PLGA (poly(lactide-co-glycolide)) polymer; solid core containing cationic lipid/siRNA complexes

Component: Cationic Lipid; Description: G0-C14 (epoxytetradecane-modified PAMAM generation 0 dendrimer) — forms nanocomplexes with siRNA

Component: Surface Coating; Description: Lipid-PEG (polyethylene glycol-lipid conjugates; PEG MW = 2 kDa) — self-assembles on NP surface via hydrophobic interactions

Component: Lipid-PEG Types Tested (8 total); Description: • Neutral: DMG-PEG (C14:0), DPG-PEG (C16:0), DSG-PEG (C18:0), Ceramide-PEG (C16:1, unsaturated)<br>• Anionic: DMPE-PEG (C14:0), DPPE-PEG (C16:0), DSPE-PEG (C18:0), DOPE-PEG (C18:1, unsaturated)

Component: siRNA; Description: Luciferase siRNA (siLuc) targeting firefly luciferase; fluorophore-labeled variants (DY547, DY647, DY677) for tracking

Component: Nanoparticle Properties; Description: • Size: ~60-70 nm (with DMF as solvent)<br>• Zeta potential: +8 mV (neutral lipid-PEGs) or −7 mV (anionic lipid-PEGs)<br>• siRNA encapsulation: ~50-60%<br>• Surface lipid-PEG: ~35-40 μg/mg PLGA

Component: Cell Lines; Description: • Luc-HeLa (firefly luciferase-expressing HeLa) — target cells<br>• RAW264.7 — macrophage cells (MPS clearance)

Component: Mouse Models; Description: • C57BL/6 (PK studies)<br>• Athymic nude mice with subcutaneous Luc-HeLa xenograft

Approach:

Parameter: NP Preparation; Details: Self-assembly nanoprecipitation: siRNA + G0-C14 in DMF → added to lipid-PEG aqueous solution → stirring → washing; DMF chosen for smallest size

Parameter: Lipid-PEG Quantification; Details: Barium iodide-PEG complexation; absorbance at 535 nm

Parameter: Dissociation Kinetics; Details: NPs incubated in PBS + 4% BSA (or FBS, or PBS alone) at 37°C; ultracentrifugation; residual lipid-PEG quantified at time points; first-order dissociation model fitting

Parameter: In Vitro Silencing; Details: Luc-HeLa cells; NP(siLuc) at 1-50 nM siRNA; 24 h transfection; 48 h recovery; Steady-Glo luciferase assay; AlamarBlue for cell number; IC₅₀ calculated

Parameter: Cellular Uptake; Details: DY547-siRNA NPs; Luc-HeLa or RAW264.7; 3-24 h; fluorescence microscopy; ImageJ quantification

Parameter: Pharmacokinetics; Details: C57BL/6 mice; IV injection of DY647-siRNA NPs or naked siRNA; blood collection over time; fluorescence measurement; t₁/₂ and AUC calculated

Parameter: Biodistribution; Details: Luc-HeLa xenograft; IV injection of DY677-siRNA NPs or naked siRNA; 24 h harvest; Syngene PXi imaging; organ/tumor fluorescence quantification

Parameter: In Vivo Silencing; Details: Luc-HeLa xenograft; daily IV injection of NP(siLuc) or naked siLuc (1.2 mg/kg) for 3 consecutive days; bioluminescence imaging (D-luciferin); tumor lysate luciferase quantification (Steady-Glo, BCA)

Parameter: Controls; Details: Naked siRNA; PLGA/G0-C14 siRNA NPs without PEGylation; Lipofectamine 2000

Parameter: Sample Sizes; Details: In vivo: n=3-4 per group

Parameter: Statistical Tests; Details: Two-tailed Student's t-test; P < 0.05 significant

Key methods:

Analysis Category: Nanoparticle Characterization; Methods: DLS (size, zeta potential); TEM (morphology); Lipid-PEG quantification (barium iodide method)

Analysis Category: Dissociation Kinetics; Methods: Barium iodide-PEG complexation; absorbance at 535 nm; first-order kinetics fitting; k_d and t₁/₂ calculated

Analysis Category: In Vitro Silencing; Methods: Steady-Glo luciferase assay (Promega); AlamarBlue cell viability; IC₅₀ (Phoenix WinNonlin)

Analysis Category: Cellular Uptake; Methods: Fluorescence microscopy (Zeiss Axiovert 200); Fiji/ImageJ analysis; Hoechst 33342 nuclear stain

Analysis Category: Pharmacokinetics; Methods: Blood sampling; fluorescence measurement (BioTek microplate reader); standard curve; t₁/₂ and AUC

Analysis Category: Biodistribution; Methods: Syngene PXi imaging system; organ fluorescence quantification; % injected dose per gram tissue

Analysis Category: In Vivo Imaging; Methods: Syngene PXi imaging system; D-luciferin i.p.; bioluminescence quantification

Analysis Category: Protein Quantification; Methods: BCA assay; Steady-Glo luciferase assay

Key results: ### Nanoparticle Properties

Parameter: Size (DMF); Result: ~60-70 nm

Parameter: Zeta potential (neutral lipid-PEGs); Result: ~+8 mV

Parameter: Zeta potential (anionic lipid-PEGs); Result: ~−7 mV

Parameter: siRNA encapsulation efficiency; Result: ~50-60%

Parameter: Surface lipid-PEG (μg/mg PLGA); Result: ~35-40 (similar across all types)

Lipid-PEG Dissociation Kinetics (in 4% BSA):

Lipid-PEG: Neutral

Lipid-PEG: DMG-PEG; Tails: C14:0 (saturated); k_d (h⁻¹): 0.52; t₁/₂ (h): 1.33; Dissociation Rate: Fastest

Lipid-PEG: DPG-PEG; Tails: C16:0 (saturated); k_d (h⁻¹): 0.21; t₁/₂ (h): 3.30; Dissociation Rate: Moderate

Lipid-PEG: DSG-PEG; Tails: C18:0 (saturated); k_d (h⁻¹): 0.025; t₁/₂ (h): 27.73; Dissociation Rate: Slowest

Lipid-PEG: Ceramide-PEG; Tails: C16:1 (unsaturated); k_d (h⁻¹): 1.05; t₁/₂ (h): 0.66; Dissociation Rate: Fastest

Lipid-PEG: Anionic

Lipid-PEG: DMPE-PEG; Tails: C14:0 (saturated); k_d (h⁻¹): 0.68; t₁/₂ (h): 1.02; Dissociation Rate: Fastest

Lipid-PEG: DPPE-PEG; Tails: C16:0 (saturated); k_d (h⁻¹): 0.17; t₁/₂ (h): 4.08; Dissociation Rate: Moderate

Lipid-PEG: DSPE-PEG; Tails: C18:0 (saturated); k_d (h⁻¹): 0.028; t₁/₂ (h): 24.76; Dissociation Rate: Slowest

Lipid-PEG: DOPE-PEG; Tails: C18:1 (unsaturated); k_d (h⁻¹): 0.33; t₁/₂ (h): 2.10; Dissociation Rate: Fast (unsaturated)

Lipid-PEG: Key trends; Tails: Longer/saturated tails → slower dissociation; k_d (h⁻¹): Unsaturation → faster dissociation; t₁/₂ (h): Charge (neutral vs. anionic) → negligible effect

In Vitro Silencing (Luc-HeLa, IC₅₀):

Lipid-PEG: DMG-PEG; IC₅₀ (nM): Low; Ranking: Fast dissociation = better silencing

Lipid-PEG: DPG-PEG; IC₅₀ (nM): Low; Ranking: Fast dissociation = better silencing

Lipid-PEG: DSG-PEG; IC₅₀ (nM): High (poor); Ranking: Slow dissociation = poor in vitro silencing

Lipid-PEG: Ceramide-PEG; IC₅₀ (nM): Low; Ranking: Fast dissociation

Lipid-PEG: DMPE-PEG; IC₅₀ (nM): Low; Ranking: Fast dissociation

Lipid-PEG: DPPE-PEG; IC₅₀ (nM): Low; Ranking: Fast dissociation

Lipid-PEG: DSPE-PEG; IC₅₀ (nM): High (poor); Ranking: Slowest dissociation = poorest silencing

Lipid-PEG: DOPE-PEG; IC₅₀ (nM): Moderate; Ranking: Unsaturated = moderate

Pharmacokinetics (C57BL:

Lipid-PEG: Ceramide-PEG; t₁/₂: <20 min; AUC: Low; Circulation: Short

Lipid-PEG: DSG-PEG; t₁/₂: ~3.3 h; AUC: Moderate; Circulation: Moderate

Lipid-PEG: DPPE-PEG; t₁/₂: <20 min; AUC: Low; Circulation: Short

Lipid-PEG: DSPE-PEG; t₁/₂: ~6 h; AUC: ~68× naked siRNA; Circulation: Longest

Lipid-PEG: DOPE-PEG; t₁/₂: <20 min; AUC: Low; Circulation: Short

Biodistribution (24 h, Luc-HeLa Xenograft):

Lipid-PEG: Naked siRNA; Tumor Accumulation (vs. naked siRNA): 1× (baseline); Circulation t₁/₂: Rapid clearance

Lipid-PEG: Ceramide-PEG; Tumor Accumulation (vs. naked siRNA): 2.2×; Circulation t₁/₂: Short

Lipid-PEG: DSG-PEG; Tumor Accumulation (vs. naked siRNA): 4.7×; Circulation t₁/₂: Moderate

Lipid-PEG: DOPE-PEG; Tumor Accumulation (vs. naked siRNA): 5.0×; Circulation t₁/₂: Short

Lipid-PEG: DPPE-PEG; Tumor Accumulation (vs. naked siRNA): 6.1×; Circulation t₁/₂: Short

Lipid-PEG: DSPE-PEG; Tumor Accumulation (vs. naked siRNA): 14.5×; Circulation t₁/₂: Longest

In Vivo Gene Silencing (Luc-HeLa Xenograft, 3 Doses):

Lipid-PEG: Naked siRNA; Luciferase Knockdown: Baseline; Circulation: -; Tumor Accumulation: Low

Lipid-PEG: Ceramide-PEG; Luciferase Knockdown: Insignificant; Circulation: Short; Tumor Accumulation: Low

Lipid-PEG: DSG-PEG; Luciferase Knockdown: ~50%; Circulation: Moderate; Tumor Accumulation: Moderate

Lipid-PEG: DPPE-PEG; Luciferase Knockdown: ~50%; Circulation: Short; Tumor Accumulation: Moderate

Lipid-PEG: DSPE-PEG; Luciferase Knockdown: ~40%; Circulation: Longest; Tumor Accumulation: Highest

Correlation Summary:

Parameter: In vitro silencing vs. k_d; Finding: Positive correlation: Faster dissociation → better in vitro silencing

Parameter: Cellular uptake vs. k_d; Finding: Positive correlation: Faster dissociation → higher uptake (for saturated tails)

Parameter: PK vs. k_d; Finding: Negative correlation: Slower dissociation → longer circulation

Parameter: Tumor accumulation vs. t₁/₂; Finding: Positive correlation: Longer circulation → higher tumor accumulation

Parameter: In vivo silencing; Finding: DSPE-PEG (slowest dissociation) achieved best balance: 40% knockdown with 14.5× tumor accumulation

Interpretation: The authors conclude that "surface de-PEGylation controlled by lipid-PEG dissociation is a critical factor for siRNA NP performance." They demonstrate that "by selecting different lipid-PEGs in the NP formulation, the in vitro and in vivo behaviors of the hybrid siRNA NP system could be easily manipulated." The study shows that "lipid-PEGs with long and saturated lipophilic tails might be required for effective siRNA delivery to tumor cells and gene silencing of the lipid-polymer hybrid NPs after systemic administration." The authors state: "This NP platform could serve as a robust toolkit for fundamental cancer research and rapid in vivo validation of potential therapeutic targets in cancer pathogenesis, in particular those considered as 'undruggable'."
10. Limitations (Explicitly Stated or Evident):

1. In vivo silencing modest: Only ~40-50% luciferase knockdown was achieved; complete or near-complete silencing would be desirable for therapeutic applications.

2. No therapeutic outcome: The study uses luciferase reporter knockdown as an efficacy readout, not tumor growth inhibition or survival benefit.

3. Non-targeted NPs: No active targeting ligand was included; the approach relies on passive targeting via the EPR effect, which may be insufficient for many tumor types.

4. Xenograft model only: Subcutaneous Luc-HeLa tumors in immunodeficient mice may not fully recapitulate the complexity of human tumors or the immune response.

5. Single siRNA cargo: Only luciferase siRNA was used; delivery of therapeutic siRNAs (e.g., targeting oncogenes) was not demonstrated.

6. Limited correlation for unsaturated lipid-PEGs: Ceramide-PEG and DOPE-PEG deviated from the positive correlation between k_d and cellular uptake, suggesting additional factors influence their behavior.

7. Lipid-PEG quantification method: The barium iodide method measures total PEG but cannot distinguish between surface-bound and free lipid-PEG; dissociation was inferred from loss of surface-associated lipid-PEG.

8. No mechanistic study of albumin binding: While albumin is proposed as the driver of de-PEGylation, the specific binding interactions were not characterized.

9. Short observation time for some NPs: NPs with fast dissociation (e.g., DMG-PEG, DMPE-PEG) fell below detection limits within 6-12 h; longer-term stability could not be assessed.

10. PEG length not varied: All lipid-PEGs used had 2 kDa PEG; the effect of PEG molecular weight on de-PEGylation was not studied.

11. In vitro vs. in vivo correlation limited: DSPE-PEG NPs showed poor in vitro silencing but achieved ~40% in vivo knockdown, suggesting in vitro data alone cannot predict in vivo efficacy.

12. Potential for PEG-related immune responses: Repeated dosing with PEGylated NPs can elicit anti-PEG antibodies; this was not assessed.

Report prepared based on the published Theranostics article. For full experimental details, supplementary figures, and complete references, please refer to the original publication.

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