| Literature DB >> 35890389 |
Alba García-Fernández1,2,3, Gema Vivo-Llorca1,3, Mónica Sancho3,4, Alicia Belén García-Jareño3,4, Laura Ramírez-Jiménez4, Eloísa Barber-Cano4, José Ramón Murguía1,2,3, Mar Orzáez3,4, Félix Sancenón1,2,3,5, Ramón Martínez-Máñez1,2,3,5.
Abstract
In this article, we report one of the few examples of nanoparticles capable of simultaneously delivering CRISPR-Cas9 gene-editing machinery and releasing drugs for one-shot treatments. Considering the complexity of inflammation in diseases, the synergistic effect of nanoparticles for gene-editing/drug therapy is evaluated in an in vitro inflammatory model as proof of concept. Mesoporous silica nanoparticles (MSNs), able to deliver the CRISPR/Cas9 machinery to edit gasdermin D (GSDMD), a key protein involved in inflammatory cell death, and the anti-inflammatory drug VX-765 (GSDMD45CRISPR-VX-MSNs), were prepared. Nanoparticles allow high cargo loading and CRISPR-Cas9 plasmid protection and, thus, achieve the controlled codelivery of CRISPR-Cas9 and the drug in cells. Nanoparticles exhibit GSDMD gene editing by downregulating inflammatory cell death and achieving a combined effect on decreasing the inflammatory response by the codelivery of VX-765. Taken together, our results show the potential of MSNs as a versatile platform by allowing multiple combinations for gene editing and drug therapy to prepare advanced nanodevices to meet possible biomedical needs.Entities:
Keywords: CRISPR-Cas9; drug delivery; gene editing; inflammation; mesoporous silica nanoparticles
Year: 2022 PMID: 35890389 PMCID: PMC9322049 DOI: 10.3390/pharmaceutics14071495
Source DB: PubMed Journal: Pharmaceutics ISSN: 1999-4923 Impact factor: 6.525
Figure 1(A) Schematic representation of CRISPR-MSNs synthesis. (B) TEM images of MSNs (top) and PEI-RhB-MSNs (bottom). (C) The gel shift mobility assay of GFP38CRISPR-RhB-MSN generated at different DNA/PEI-MSNs ratios. M, MW marker; Φ, naked DNA plasmid (CRISPR-Cas9) as a negative control. (D) The zeta potential of MSNs, PEI-RhB-MSNs and GFP38CRISPR-RhB-MSNs. (E) Stability studies of GFP38CRISPR-MSN in the presence of DNAase I. Lane 1, MW marker (M). Lane 2, the naked GFP38CRISPR plasmid (Φ). Lane 3, GFP38CRISPR treated with DNAse I. Lane 4, GFP38CRISPR-RhB-MSNs treated with heparin (Prev) to disassemble the MSNs-DNA complex. Lane 5, the GFP38CRISPR-RhB-MSNs complex treated with DNAse I and then with heparin (post). Lane 6, GFP38CRISPR-RhB-MSNs were previously disassembled with heparin (prev) and finally treated with DNAse I. All the experiments represent at least three independent experiments.
Figure 2Internalization and delivery characterization of CRISPR-MSNs. (A) Scheme of CRISPR and dye cell delivery by CRISPR-RhB-MSNs. Figure 1B was produced by using a template from the Server Medical Art platform. (B) Delivery profile of GFP38CRISPR-RhB-MSNs in the presence of simulated plasma at pH 7 or pH 5. Data represent the mean ± SEM of at least three independent experiments. (C) Cell viability studies by WST-1 assays at different GFP38CRISPR-MSNs concentrations at 24 (black bars) and 48 h (grey bars). Data represent the mean ± SEM of at least three independent experiments. (D) Cellular internalization of GFP38CRISRP-RhB*-MSNs in the U-2 OS cells at different times measured by flow cytometry. (E) Cellular uptake of GFP38CRISRP-RhB*-MSNs in the presence of the endosomal marker (CellLight Late Endosomes-GFP, BacMam 2.0) (green) after 30 min of incubation. GFP38CRISRP-RhB*-MSNs (red) in the U-2 OS cells with the lysosomes maker (green) (LysoTracker Green DND-26) or after 1 h of incubation. Representative images of the confocal experiments in at least three independent experiments. (F) Cellular internalization of GFP38CRISRP-RhB*-MSNs (red) in the U-2 OS cells stained with the cell membrane marker (green) in the absence (top) or presence (bottom) of endocytic inhibitor dynasore. Representative images of the confocal experiments in at least three independent experiments.
Figure 3Dual gene editing and cargo delivery in the U-2 OS-GFP cells. (A) Confocal microscopy images of genome editing by the CRISPR-Cas9 system delivered by MSNs as nanocarriers. Transfection efficiency is judged by fluorescent intensity and the proportion of cells in the population showing GFP expression. Green depicts the GFP cells and blue marks the nucleus with Hoechst 33342. The scale bar represents 10 µm. Representative images of the confocal experiments in at least three independent experiments. (B) GFP quantification by the confocal images analysis by using the Image J software. Data represent the mean ± SEM of at least three independent experiments. The control cells (untreated) are referred to as C. A statistical analysis was performed by applying a one-way ANOVA with multiple comparisons (* p < 0.05, ** p < 0.025, *** p < 0.001). (C) GFP quantification by IN Cell Analyzer 2200. Data represent the mean ± SEM of at least three independent experiments. A statistical analysis was performed by applying a one-way ANOVA with multiple comparisons (* p < 0.05, ** p < 0.025, *** p < 0.001). (D) Western blot analysis and quantification of the GFP levels expressed in the cell lysates of the CRISPR-MSNs editing studies. Representative images of at least three independent experiments. (E) Confocal microscopy images of genome editing and cargo delivery. Transfection efficiency is judged by fluorescent intensity and the proportion of cells in the population showing GFP (green) expression and delivery efficiency by the fluorescent intensity of Rhodamine B (red) and the nucleus in blue marked with Hoechst 33342. The scale bar represents 10 µm. Representative images of the confocal experiments in at least three independent experiments. (F) GFP (up) and Rhodamine B (down) quantification by the confocal images analysis by using the Image J software. The untreated cells, the negative control, are referred to as C. Data represent the mean ± SEM of at least three independent experiments. A statistical analysis was performed by applying a one-way ANOVA with multiple comparisons (* p < 0.05, ** p < 0.025, *** p < 0.001).
Figure 4CRISPR-MSNs dual delivery in the THP-1 cells. (A) Flow cytometry studies in THP-1 cells by using GSDMD45CRISPR-RhB-MSNs. Rhodamine B intensity (top) and Rhodamine B positive cells (bottom). Data represent the mean ± SEM of at least three independent experiments. (B) Cargo release from GSDMD45CRISPR-RhB-MSNs in the THP-1 cells after 24 h. Confocal images showing Rhodamine B released from nanoparticles (top) and merged channels (bottom) with the cells stained with nuclei marker Hoechst 33342 (in blue). (C) CRISPR-Cas9 plasmid delivery in the THP-1 cells. Confocal images showing the labeled plasmid in red (alone), the labeled plasmid in the presence of nuclei marker Hoechst 33342 in blue, the plasmid in the presence of the lysosomal marker (green) and the merged image displaying all the channels. White arrows pointed the plasmid signal overlapping with the nucleus.Data show representative images of the confocal studies in at least three independent experiments.
Figure 5Dual one-shot anti-inflammatory therapy. (A) Scheme of the inflammatory response activation pathway by lipopolysaccharide (LPS) from Escherichia coli O111:B4 and nigericin (NG) exposure and the double-hit strategy design by using CRISPR-MSNs. (B) Western blot analysis of the GSDMD levels expressed in the cell lysates of the CRISPR-MSNs editing studies. Representative images of at least three independent experiments. (C) LDH release assay and (D) IL-1β levels. Data represent the mean ± SEM of at least three independent experiments. Statistical significance was determined by applying a one-way ANOVA analysis with multiple comparisons (*** p < 0.001). No significant differences were denoted as ns.