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Search Results (475)

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Keywords = cationic lipids

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15 pages, 2766 KiB  
Article
The Impact of Hyaluronic Acid Coating on the Cationic Niosomal Surface for Doxorubicin Delivery
by Elisabetta Mazzotta, Martina Romeo, Giuseppina Sacco, Selene De Benedittis, Antonio Qualtieri, Ida Daniela Perrotta and Rita Muzzalupo
Molecules 2025, 30(5), 1148; https://doi.org/10.3390/molecules30051148 - 3 Mar 2025
Viewed by 127
Abstract
This study was designed to develop cationic vesicles for doxorubicin (DOX) delivery and to compare anticancer efficacy of these systems uncoated and coated with hyaluronic acid. Cationic nanoformulation was first optimized using various amounts of Span80, DODAB, and cholesterol. The optimized niosomal formulation [...] Read more.
This study was designed to develop cationic vesicles for doxorubicin (DOX) delivery and to compare anticancer efficacy of these systems uncoated and coated with hyaluronic acid. Cationic nanoformulation was first optimized using various amounts of Span80, DODAB, and cholesterol. The optimized niosomal formulation (CTN4) in terms of vesicle size, surface zeta potential, and colloidal stability was coated with hyaluronic acid and the in vitro therapeutic effectiveness in uterine cervix cancer cells of vesicles loaded with DOX was tested. In vitro studies revealed significantly superior cytotoxicity against Hela cells of niosomes coated with HA compared to uncoated formulations. Moreover, cytotoxicity was also evaluated on normal fibroblast murine cell line, NIH-3T3 cells, and the results obtained demonstrated that HA-coated vesicles exhibited lower cytotoxicity to NIH-3T3 cells compared to uncoated nanovesicles. These findings highlighted how the surface coating influences the effectiveness of niosomes developed as a target drug delivery system and the selectivity and the antitumour efficacy of chemotherapeutic drugs. Full article
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<p>Typical TEM photomicrograph of CTN4 (<b>A</b>) and CTN4-HA (<b>B</b>) formulations.</p>
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<p>Drug release profiles of DOX from DOX-CTN4 (green), DOX-CTN4-HA (blue), and DOX solution (red) at pH 5.5 (<b>A</b>) and 7.4 (<b>B</b>) at 37 °C (mean ± standard deviation, <span class="html-italic">n</span> = 3).</p>
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<p>NIH-3T3 (<b>A</b>) and HeLa (<b>B</b>) cell viability tested by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay in triplicate. Cells were incubated with DOX-CTN4 and DOX-CTN4-HA formulations for 72 h. The results are expressed as the percentage of the control assumed as 100%. Each value represents the mean ± SD of three independent experiments. * <span class="html-italic">p</span> &lt; 0.05 vs. free DOX.</p>
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<p>Microscopic images (40×) of HE cells in phase contrast (PhC) and fluorescence at 590 nm (Fluor). Merge of the two images to the right. (<b>A</b>) DOX solution, (<b>B</b>) DOX-CTN4 and (<b>C</b>) DOX-CTN4-HA, respectively.</p>
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<p>Microscopic images (40×) of NIH-3T3 cells in phase contrast (PhC) and fluorescence at 590 nm (Fluor). Merge of the two images to the right. (<b>A</b>) DOX solution, (<b>B</b>) DOX-CTN4 and (<b>C</b>) DOX-CTN4-HA, respectively.</p>
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18 pages, 8963 KiB  
Article
Influence of Different Cationic Polymer-Based Micelles on the Corneal Behavior and Anti-Cataract Effect of Diosmetin
by Jing Zhang, Min Zha, Anping Wan, Satya Siva Kishan Yalamarty, Nina Filipczak and Xiang Li
Pharmaceutics 2025, 17(3), 302; https://doi.org/10.3390/pharmaceutics17030302 - 25 Feb 2025
Viewed by 195
Abstract
Background Despite many studies on polymer-incorporated nanocarriers for ophthalmic drug delivery, few have thoroughly explored the relationship between coating composition and performance. This study aimed to evaluate the effects of three commonly used cationic polymers—distearoyl phosphatidylethanolamine-polyethylene glycol 1000-poly(amidoamine) (DSPE-PEG1000-PAMAM), trimethyl chitosan (TMC), and [...] Read more.
Background Despite many studies on polymer-incorporated nanocarriers for ophthalmic drug delivery, few have thoroughly explored the relationship between coating composition and performance. This study aimed to evaluate the effects of three commonly used cationic polymers—distearoyl phosphatidylethanolamine-polyethylene glycol 1000-poly(amidoamine) (DSPE-PEG1000-PAMAM), trimethyl chitosan (TMC), and (2,3-dioleoyloxypropyl) trimethylammonium chloride (DOTAP)—on the corneal behaviors and anti-cataract efficacy of diosmetin (DIO)-loaded micelles (D-M-P, D-M-T, and D-M-D, respectively). Methods The DIO-loaded micelles were prepared using the thin-film dispersion method and incorporated with the three polymers through hydrophobic interactions and electrostatic adsorption. Structural characterization was demonstrated by TEM imaging and particle size analyzer. In vitro release behavior was detected by the dialysis method. Cell viability of D-M-P, D-M-T, and D-M-D on L929 cells was detected by CCK-8 assays, with cellular uptake performed using coumarin 6 as the fluorescence indicator. Precorneal retention behaviors of these three vesicles were observed by In Vivo Imaging System. Transcorneal permeability was determined by modified Franz diffusion method and the permeation routes of the vesicles are investigated. Selenite-induced cataract model was established. The anti-cataract effects of three different DIO-loaded micelles were evaluated by the observation of lens opacity and antioxidant enzyme activities. Eye Irritation of the DIO in different preparations was estimated using the Draize test, along with H&E staining of the corneas. Results Structural characterization of DIO-loaded micelles revealed that the vesicles were spherical, with a uniform size distribution of around 28 nm, a similar surface potential of approximately 6.0 mV, and a high DIO entrapment efficiency of about 95%. Compared to the DIO suspension, all three formulations exhibited a significant sustained-release effect. They showed no signs of irritation and demonstrated increased IC50 values in L929 cells, indicating improved biocompatibility. Cellular uptake in human lens epithelial cells (HLECs) was assessed using confocal laser scanning microscopy. C-M-T displayed the highest fluorescence signals, with a cellular internalization 3.2 times greater than that of the solution group. Both C-M-T and C-M-P enhanced vesicle retention on the corneal surface by at least 47.8% compared to the Cou-6 solution. Furthermore, TMC facilitated the paracellular transport of vesicles into the deepest layers of the cornea and delivered DIO across the cornea, with a Papp value 3.11 times and 1.49 times those of D-M-D and D-M-P, respectively. In terms of therapeutic efficacy, D-M-T demonstrated the most significant attenuation of lens opacity, along with enhanced antioxidant enzyme activities and inhibition of lipid peroxidation. Conclusion The modification of micelle vesicles with different cationic polymers significantly influences their performance in ocular drug delivery. Among the tested formulations, D-M-T stands out due to its multiple advantages, including enhanced transcorneal drug delivery, therapeutic efficacy for DIO, and safety, making it the most promising candidate for ophthalmic applications. Full article
(This article belongs to the Special Issue Polymer-Based Delivery System)
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Figure 1
<p>(<b>A</b>) TEM images of D-M-T (1), D-M-P (2), and D-M-D (3) (Bar = 100 nm); (<b>B</b>) in vitro release of DIO from different preparations at scheduled time points (n = 3); (<b>C</b>) cell viability of different concentrations of DIO (1), D-M-T (2), D-M-P (3), D-M-D (4) on L929 cells.</p>
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<p>(<b>A</b>) Cellular uptake of vehicles in HLECs after incubation with different preparations (Bar = 50 μm); (<b>B</b>) intracellular fluorescence intensity of HLECs after incubation with different preparations (*, <span class="html-italic">p</span> &lt; 0.05; ****, <span class="html-italic">p</span> &lt; 0.0001; ns, not significantly); (<b>C</b>) precorneal fluorescence signals of each group in rabbit corneas under IVIS imaging at different time points within 20 min.</p>
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<p>Corneal transmission curve in vitro of each preparation.</p>
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<p>(<b>A</b>) Corneal penetration depth of different preparations at 2 h; (<b>B</b>) corneal penetration depth of different preparations at 4 h.</p>
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<p>Horizontal corneal imaging of rabbit treated with C-M-T for 2 h (1–7: 5–35 μm for every 5 μm depth). Bar equals 50 μm.</p>
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<p>Slit lamp view of a lens with selenium-induced cataract in rats from day 1 to day 7 in each group.</p>
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<p>Contents of CAT, MDA, and SOD in the lens of rats in each group (***, <span class="html-italic">p</span> &lt; 0.001; **, <span class="html-italic">p</span> &lt; 0.005; *, <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Histopathological sections of rabbit eyes in different preparation groups (Bar = 100 μm).</p>
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22 pages, 2878 KiB  
Article
Protective Role and Enhanced Intracellular Uptake of Curcumin in Retinal Cells Using Self-Emulsifying Drug Delivery Systems (SNEDDS)
by Elide Zingale, Sebastiano Masuzzo, Tatu Lajunen, Mika Reinisalo, Jarkko Rautio, Valeria Consoli, Agata Grazia D’Amico, Luca Vanella and Rosario Pignatello
Pharmaceuticals 2025, 18(2), 265; https://doi.org/10.3390/ph18020265 - 17 Feb 2025
Viewed by 393
Abstract
Background: Sirtuin-1 (SIRT1), a histone deacetylase enzyme expressed in ocular tissues with intracellular localization, plays a critical protective role against various degenerative ocular diseases. The link between reduced SIRT1 levels and diabetic retinopathy (DR) has prompted the exploration of natural therapeutic compounds that [...] Read more.
Background: Sirtuin-1 (SIRT1), a histone deacetylase enzyme expressed in ocular tissues with intracellular localization, plays a critical protective role against various degenerative ocular diseases. The link between reduced SIRT1 levels and diabetic retinopathy (DR) has prompted the exploration of natural therapeutic compounds that act as SIRT1 agonists. Curcumin (CUR), which has been shown to upregulate SIRT1 expression, is one such promising compound. However, effective delivery of CUR to the deeper ocular tissues, particularly the retina, remains a challenge due to its poor solubility and limited ocular penetration following topical administration. Within this context, the development of self-nanoemulsifying drug delivery systems (SNEDDS) for CUR topical ocular delivery represents a novel approach. Methods: In accordance with our prior research, optimized SNEDDS loaded with CUR were developed and characterized post-reconstitution with simulated tear fluid (STF) at a 1:10 ratio, showing suitable physicochemical and technological parameters for ocular delivery. Results: An entrapment efficiency (EE%) of approximately 99% and an absence of drug precipitation were noticed upon resuspension with STF. CUR-SNEDDS resulted in a better stability and release profile than free CUR under simulated ocular conditions. In vitro analysis of mucoadhesive properties revealed that CUR-SNEDDS, modified with a cationic lipid, demonstrated enhanced interactions with mucin, indicating the potential for improved ocular retention. Cytotoxicity tests demonstrated that CUR-SNEDDS did not affect the viability of human corneal epithelial (HCE) cells up to concentrations of 3 μM and displayed superior antioxidant activity compared to free CUR in an oxidative stress model using retinal pigment epithelial (ARPE-19) cells exposed to hydroquinone (HQ). Cell uptake studies confirmed an enhanced accumulation of CUR within the retinal cells following exposure to CUR-SNEDDS compared to neat CUR. CUR-SNEDDS, at lower concentrations, were found to effectively induce SIRT1 expression. Conclusions: The cytocompatibility, antioxidant properties, and enhanced cellular uptake suggest that these developed systems hold promise as formulations for the delivery of CUR to the retina. Full article
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<p>Solubility (mg/mL) of CUR in different vehicles (oils and surfactants).</p>
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<p>(<b>A</b>) Macroscopic visualization of AC and AC after reconstitution 1:10 in STF and (<b>B</b>) microscopic morphological analysis of AC after reconstitution (1:100,000 with PBS) by Zeta view analysis.</p>
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<p>Mucoadhesion strength of A+ in contact with mucin dispersion in terms of (<b>A</b>) absorbance and (<b>B</b>) zeta potential. Each bar represents the mean value ±SD; <span class="html-italic">n</span> = 3. Statistical analysis was performed by 2-way ANOVA (**** <span class="html-italic">p</span> &lt; 0.0001 vs. A+ at different time points).</p>
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<p>In vitro CUR release from CUR-SNEDDS (AC) compared to free CUR investigated for 48 h.</p>
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<p>Stability investigation of native CUR(C) in PBS and CURC-loaded SNEDDS (AC) at different conditions of exposition: 4 °C, 25 °C light and dark, and 40 °C. (Statistical analysis was made with Tukey’s multiple comparisons test **** <span class="html-italic">p</span> &lt; 0.0001 vs. C at different exposition conditions).</p>
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<p>Evaluation of cytotoxicity of CUR-SNEDDS loaded with different concentrations of CUR (0.1–5 μM), respectively, on the (<b>A</b>) HCE and (<b>B</b>) ARPE-19 cell lines (**** <span class="html-italic">p</span> &lt; 0.0001 vs. control, *** <span class="html-italic">p</span> &lt; 0.0005 vs. control).</p>
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<p>The (<b>A</b>) internalization and uptake of CUR (central column): 0.1 µM; 0.5 µM; 1 µM; 2 µM and CUR-loaded SNEDDS (right column): AC 0.1 µM; AC 0.5 µM; AC 1 µM; AC 2 µM into ARPE-19. White arrows point out CUR nanocarriers poutside cells. (<b>B</b>) Quantitative evaluation of recovered CUR in medium and not internalized after uptake test (**** <span class="html-italic">p</span> &lt; 0.0001 vs. C). (<b>C</b>) Assessment of SIRT1 protein expression levels following AC treatment for 24 h at selected concentrations of 0.1 and 0.5 µM (** <span class="html-italic">p</span> &lt; 0.005 vs. CTRL).</p>
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<p>Evaluation of HQ (600 μM) effect on ARPE-19 cell viability and recovery with co-treatment of HQ and SNEDDS loaded with different concentrations of CUR (0.1–2 μM) (**** <span class="html-italic">p</span> &lt; 0.0001 vs. HQ; *** <span class="html-italic">p</span> &lt; 0.0005 vs. HQ).</p>
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29 pages, 1445 KiB  
Review
Algal-Based Carbonaceous Materials for Environmental Remediation: Advances in Wastewater Treatment, Carbon Sequestration, and Biofuel Applications
by Lázaro Adrián González Fernández, Nahum Andrés Medellín Castillo, Manuel Sánchez Polo, Amado Enrique Navarro Frómeta and Javier Ernesto Vilasó Cadre
Processes 2025, 13(2), 556; https://doi.org/10.3390/pr13020556 - 16 Feb 2025
Viewed by 299
Abstract
Water pollution from industrial, municipal, and agricultural sources is a pressing global concern, necessitating the development of sustainable and efficient treatment solutions. Algal biomass has emerged as a promising feedstock for the production of carbonaceous adsorbents due to its rapid growth, high photosynthetic [...] Read more.
Water pollution from industrial, municipal, and agricultural sources is a pressing global concern, necessitating the development of sustainable and efficient treatment solutions. Algal biomass has emerged as a promising feedstock for the production of carbonaceous adsorbents due to its rapid growth, high photosynthetic efficiency, and ability to thrive in wastewater. This review examines the conversion of algal biomass into biochar and hydrochar through pyrolysis and hydrothermal processes, respectively, and evaluates their potential applications in wastewater treatment, carbon sequestration, and biofuel production. Pyrolyzed algal biochars typically exhibit a moderate to high carbon content and a porous structure but require activation treatments (e.g., KOH or ZnCl2) to enhance their surface area and adsorption capabilities. Hydrothermal carbonization, conducted at lower temperatures (180–260 °C), produces hydrochars rich in oxygenated functional groups with enhanced cation exchange capacities, making them effective for pollutant removal. Algal-derived biochars and hydrochars have been successfully applied for the adsorption of heavy metals, dyes, and pharmaceutical contaminants, with adsorption capacities significantly increasing through post-treatment modifications. Beyond wastewater treatment, algal biochars serve as effective carbon sequestration materials due to their stable structure and high carbon retention. Their application as soil amendments enhances long-term carbon storage and improves soil fertility. Additionally, algal biomass plays a key role in biofuel production, particularly for biodiesel synthesis, where microalgae’s high lipid content facilitates bio-oil generation. Hydrochars, with energy values in the range of 20–26 MJ/kg, are viable solid fuels for combustion and co-firing, supporting renewable energy generation. Furthermore, the integration of these materials into bioenergy systems allows for waste valorization, pollution control, and energy recovery, contributing to a sustainable circular economy. This review provides a comprehensive analysis of algal-derived biochars and hydrochars, emphasizing their physicochemical properties, adsorption performance, and post-treatment modifications. It explores their feasibility for large-scale wastewater remediation, carbon capture, and bioenergy applications, addressing current challenges and future research directions. By advancing the understanding of algal biomass as a multifunctional resource, this study highlights its potential for environmental sustainability and energy innovation. Full article
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<p>Diagram of algal structures: (<b>a</b>) <span class="html-italic">Porphyra umbilicalis</span> (macroalgae); (<b>b</b>) <span class="html-italic">Scenedesmus</span> (microalgae). Reproduced from Pereira, 2021 [<a href="#B21-processes-13-00556" class="html-bibr">21</a>], under terms of Creative Commons Attribution (CC BY) license.</p>
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<p>Possible mechanisms of interaction between hydrochar surfaces and (<b>a</b>) heavy metals, (<b>b</b>) dyes, and (<b>c</b>) pharmaceuticals. Images reused from Petrović et al., 2024 [<a href="#B42-processes-13-00556" class="html-bibr">42</a>], in accordance with Creative Commons Attribution license (CC BY).</p>
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<p>Photosynthetic carbon assimilation process in algae. Image reused from Li and Yao, 2024 [<a href="#B93-processes-13-00556" class="html-bibr">93</a>], in accordance with Creative Commons Attribution license (CC BY).</p>
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<p>Biofuel generation process from algae. Image reused from Li and Yao, 2024 [<a href="#B93-processes-13-00556" class="html-bibr">93</a>], in accordance with Creative Commons Attribution license (CC BY).</p>
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22 pages, 10901 KiB  
Article
Glucosylceramide Synthase Inhibition in Combination with Aripiprazole Sensitizes Hepatocellular Cancer Cells to Sorafenib and Doxorubicin
by Richard Jennemann, Martina Volz, Roberto Carlos Frias-Soler, Almut Schulze, Karsten Richter, Sylvia Kaden and Roger Sandhoff
Int. J. Mol. Sci. 2025, 26(1), 304; https://doi.org/10.3390/ijms26010304 - 31 Dec 2024
Viewed by 876
Abstract
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer deaths due to its late diagnosis and restricted therapeutic options. Therefore, the search for appropriate alternatives to commonly applied therapies remains an area of high clinical need. Here we investigated [...] Read more.
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer deaths due to its late diagnosis and restricted therapeutic options. Therefore, the search for appropriate alternatives to commonly applied therapies remains an area of high clinical need. Here we investigated the therapeutic potential of the glucosylceramide synthase (GCS) inhibitor Genz-123346 and the cationic amphiphilic drug aripiprazole on the inhibition of Huh7 and Hepa 1-6 hepatocellular cancer cell and tumor microsphere growth. Single and combinatorial treatments with both drugs at 5 µM concentration led to efficient cell cycle arrest, reduced expression of cyclins A and E, increased lipid storage in lysosomal compartments, accompanied by increased uptake of lysotracker, and elevated expression of the autophagy marker Lc3 II. Both drugs affected mitochondrial function, indicated by altered mitotracker uptake and impaired mitochondrial respiration. Aripiprazole in monotherapy, or even more pronounced in combination with Genz, also potentiated the effect of the cytostatic drugs sorafenib and doxorubicin on tumor cell- and tumor spheroid-growth inhibition. Targeting GCS with Genz with the parallel application of cationic amphiphilic drugs such as aripiprazole in combination with cytostatic drugs may thus represent a potent therapeutic approach in the treatment of HCC and potentially other cancer types. Full article
(This article belongs to the Special Issue Bioactive Compounds and Enzyme Inhibitors in Cancer Therapy)
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Figure 1
<p>Genz and aripiprazole inhibit the cell cycle of cancer cells. (<b>A</b>,<b>B</b>) Chemical structures of Genz (<b>A</b>) and aripiprazole (Ari, (<b>B</b>)). Genz inhibits the basic step of the glycosphingolipid (GSL) biosynthesis pathway, the synthesis of glucosylceramide from ceramide and UDP-activated glucose, which is catalyzed by the enzyme glucosylceramide synthase (GCS) (<b>A</b>). (<b>C</b>–<b>F</b>) cell cycle analysis by BrdU/PI staining. Huh7 cells ((<b>C</b>) FACS images, (<b>E</b>) quantification) and Hepa 1-6 cells ((<b>D</b>) FACS images, (<b>F</b>) quantification); shown is one representative result out of two independent experiments; n = 3 for each condition; bar diagrams show mean values ± SD. Significances calculated by an one-way ANOVA test are: *, <span class="html-italic">p</span> ≤ 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001; ****, <span class="html-italic">p</span> &lt; 0.0001; note: identical controls were plotted twice, one for each condition (<b>E</b>,<b>F</b>). (<b>G</b>) Scheme of the expression of cyclin E and A during cell cycle. (<b>H</b>) and ((<b>I</b>), quantification) Expression of cyclin A and E in Huh7 and Hepa 1-6 cells treated with 5 µM of Genz/5 µM aripiprazole; n = 3.</p>
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<p>Aripiprazole treatment affects cell apoptosis and necrosis. (<b>A</b>–<b>D</b>) Annexin V/7AAD FACS staining of HCC cancer cells treated with different concentrations of Genz and aripiprazole (Ari) as indicated. (<b>A</b>) Representative FACS images from Huh7 cells and Hepa 1-6 cells (<b>B</b>). (<b>C</b>) Quantification of the FACS results obtained from Huh7 or (<b>D</b>) Hepa 1-6 cells in the presence of the drugs; shown is one representative experiment from three independent experiments; n = 3 for each condition; note: identical controls were plotted twice, one for each condition (<b>C</b>) and (<b>D</b>). Bar diagrams show mean values ± SD. Significances calculated with an one-way ANOVA test are: *, <span class="html-italic">p</span> ≤ 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001; ****, <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Aripiprazole enhances lysotracker incorporation into cancer cells. (<b>A</b>–<b>D</b>) Lysotracker uptake of HCC cancer cells in the presence of different concentrations of Genz and aripiprazole (Ari). (<b>A</b>) FACS images of Huh7 cells and (<b>B</b>) quantification of the medium fluorescence intensity (MFI). (<b>C</b>) FACS images of Hepa 1-6 cells and (<b>D</b>) quantification of the MFI; shown is one representative result out of two independent experiments; n = 3 for each condition; note: controls were plotted in duplicates, one for each condition (<b>B</b>) and (<b>D</b>). Bar diagrams show mean values ± SD. Significances calculated with an one-way ANOVA test are: *, <span class="html-italic">p</span> ≤ 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001; ****, <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Elevated Genz and aripiprazole concentrations cause lipid storage in lysosomal compartments and enhance the expression of Lc3 II. Lc3 II expression of Huh7 ((<b>A</b>) western blot, (<b>A’</b>) quantification) and Hepa 1-6 cells ((<b>B</b>) western blot, (<b>B’</b>) quantification) treated with Genz and/or aripiprazole as indicated; n = 3 each. Bar diagrams show mean values. Significances calculated with an one-tailed <span class="html-italic">t</span>-test (controls vs. treated) are: *, <span class="html-italic">p</span> ≤ 0.05; **, <span class="html-italic">p</span> &lt; 0.01. (<b>C</b>,<b>D</b>) Electron micrographs from Hepa 1-6 cells treated with either 5 µM Genz (<b>C</b>) or 5 µM aripiprazole (<b>D</b>); note the intense lipid staining of lamellar bodies within lysosomal compartments.</p>
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<p>Treatment of Huh7 and Hepa 1-6 cells with 5 µM Genz and aripiprazole elevates cellular phospholipid and sphingomyelin (SM) content. (<b>A</b>–<b>D</b>) Relative expression of sphingolipids isolated from HCC cancer cells treated with Genz and aripiprazole. (<b>A</b>,<b>B</b>) UPLC-MS/MS analyses of Huh7 (<b>A</b>) and Hepa (1-6) cells (<b>B</b>) treated with 1 µM Genz or 1 µM aripiprazole and a combination of both drugs; n = 3 each. (<b>C</b>,<b>D</b>) UPLC-MS/MS analyses of Huh7 (<b>C</b>) and Hepa (1-6) cells (<b>D</b>) treated with 5 µM Genz or 5 µM aripiprazole and a combination of both drugs; n = 4 each. Bar diagrams show mean values ± SD. Significances calculated with an one-way ANOVA-test are: *, <span class="html-italic">p</span> ≤ 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001; ****, <span class="html-italic">p</span> &lt; 0.0001. (<b>E</b>,<b>F</b>) Qualitative thin-layer chromatogram (TLC) of phospholipids isolated from Huh7 cells (<b>E</b>) and Hepa 1-6 cells (<b>F</b>) treated with 5 µM Genz/5 µM aripiprazole.</p>
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<p>Aripiprazole enhances mitotracker incorporation into cancer cells. Determination of mitotracker green medium fluorescence intensity (MFI) ((<b>A</b>,<b>A’</b>), Huh7 cells and (<b>C</b>,<b>C’</b>), Hepa 1-6 cells) as well as mitotracker red MFI ((<b>B</b>,<b>B’</b>), Huh7 cells and (<b>D</b>,<b>D’</b>), Hepa 1-6 cells) by FACS analysis. Huh7 cells (<b>A</b>,<b>A’</b>,<b>B</b>,<b>B’</b>) and Hepa 1-6 cells (<b>C</b>,<b>C’</b>,<b>D</b>,<b>D’</b>) were treated with 1 µM/5 µM Genz or 1 µM/5 µM aripiprazole (Ari) and combinations of both drugs for five days. Mitotracker reagents were added as described in the methods section for 30 min, and cells were consequently harvested and analyzed by flow cytometry. Shown is one representative experiment out of two; n = 3 for each condition; note: identical controls were plotted twice, one for each condition (<b>A’</b>–<b>D’</b>). Bar diagrams show mean values ± SD. Significances calculated with an one-way ANOVA test are: *, <span class="html-italic">p</span> ≤ 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001; ****, <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Seahorse mito-stress analysis showing differences in OCR and the ECAR profiles of cells treated with different Genz and aripiprazole concentrations. (<b>A</b>) Mitochondrial activity of Hepa 1-6 cells cultured in the presence of 1 µM Genz, 1 µM aripiprazole, or a combination of both drugs for 5 days was analyzed using the mitochondrial stress test (Seahorse). (<b>B</b>) Basal respiration, ATP-linked respiration, and maximal respiration were calculated from the flux profile. Significance was calculated using a one-way ANOVA test (n = 20 to 24), *, <span class="html-italic">p</span> ≤ 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001; ****, <span class="html-italic">p</span> &lt; 0.0001; (OCR, oxygen consumption rate; NMOC, non-mitochondrial oxygen consumption). (<b>C</b>) Extracellular acidification rate (ECAR) of the same cells shown in (<b>A</b>). (<b>D</b>) Basal ECAR is displayed as an estimation of the compensatory glycolytic activity of the cells in response to drug treatment. (<b>E</b>) OCR and (<b>F</b>) calculated respiratory parameters of cells treated with 5 µM Genz, 5 µM aripiprazole, or 5 µM Genz/5 µM aripiprazole, respectively. (<b>G</b>) ECAR of cells cultured with 5 µM of the drugs and (<b>H</b>) corresponding basal ECAR; n = 20 to 24 for each treatment condition. Graphs and bar diagrams show mean values ± SD.</p>
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<p>Hepatocellular tumor cell growth is impaired by the administration of aripiprazole in combination with Genz and the cytostatic drugs sorafenib and doxorubicin. (<b>A</b>–<b>D</b>) Huh7 and Hepa 1-6 cells were treated with 1 µM Genz, 1 µM aripiprazole, or 1 µM Genz/1 µM aripiprazole, in combination with either sorafenib or doxorubicin as described in the method section; note: controls were plotted twice on each diagram. (<b>A</b>,<b>C</b>) crystal violet proliferation assay of Huh7 cells treated for 48 h with combinations of Genz/aripiprazole/sorafenib (<b>A</b>) or Genz/aripiprazole/doxorubicin (<b>C</b>). (<b>B</b>,<b>D</b>) crystal violet proliferation assay of Hepa 1-6 cells treated for 48 h with combinations of Genz/aripiprazole/sorafenib (<b>B</b>) or Genz/aripiprazole/doxorubicin (<b>D</b>); n = 8 for each treatment condition; note: identical controls were plotted twice (<b>A</b>–<b>D</b>), one for each low and high sorafenib and doxorubicin concentration. Bar diagrams show mean values ± SD. Significances calculated with an one-way ANOVA test are: *, <span class="html-italic">p</span> ≤ 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001; ****, <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Genz and/or aripiprazole combinations with sorafenib or doxorubicin impair growth of tumor spheroids. (<b>A</b>–<b>D</b>) 10<sup>3</sup> Huh7- and Hepa 1-6 cells were seeded in 96-well ultra-low attachment plates. HCC tumor microspheres formed within 24 h (<a href="#app1-ijms-26-00304" class="html-app">Supplementary Figure S4</a>). Common tissue culture medium was replaced as described in the method section with 1 µM Genz, 1 µM aripiprazole (Ari), or 1 µM Genz/1 µM aripiprazole in combination with either sorafenib or doxorubicin as indicated in the figure on day three. Medium, including the drugs, was exchanged twice a week, and the size of the tumor microspheres was determined by ImageJ, version 1.54d. (<b>A</b>,<b>B</b>) Huh7 cells were treated for 18 d with combinations of Genz/aripiprazole/sorafenib (<b>A</b>) or Genz/aripiprazole/doxorubicin (<b>B</b>). (<b>C</b>,<b>D</b>) Hepa 1-6 cells were treated for 18 d with combinations of Genz/aripiprazole/sorafenib (<b>C</b>) or Genz/aripiprazole/doxorubicin (<b>D</b>); n = 8 for each treatment condition. Significances calculated with an one-tailed <span class="html-italic">t</span>-test (controls vs. treated, or as indicated at day 18) are: *, <span class="html-italic">p</span> ≤ 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001; ****, <span class="html-italic">p</span> &lt; 0.0001.</p>
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21 pages, 4144 KiB  
Article
Development of a Cationic Polymeric Micellar Structure with Endosomal Escape Capability Enables Enhanced Intramuscular Transfection of mRNA-LNPs
by Siyuan Deng, Han Shao, Hongtao Shang, Lingjin Pang, Xiaomeng Chen, Jingyi Cao, Yi Wang and Zhao Zhao
Vaccines 2025, 13(1), 25; https://doi.org/10.3390/vaccines13010025 - 30 Dec 2024
Viewed by 972
Abstract
Background/Objectives: The endosomal escape of lipid nanoparticles (LNPs) is crucial for efficient mRNA-based therapeutics. Here, we present a cationic polymeric micelle (cPM) as a safe and potent co-delivery system with enhanced endosomal escape capabilities. Methods: We synthesized a cationic and ampholytic di-block copolymer, [...] Read more.
Background/Objectives: The endosomal escape of lipid nanoparticles (LNPs) is crucial for efficient mRNA-based therapeutics. Here, we present a cationic polymeric micelle (cPM) as a safe and potent co-delivery system with enhanced endosomal escape capabilities. Methods: We synthesized a cationic and ampholytic di-block copolymer, poly (poly (ethylene glycol)4-5 methacrylatea-co-hexyl methacrylateb)X-b-poly(butyl methacrylatec-co-dimethylaminoethyl methacrylated-co-propyl acrylatee)Y (p(PEG4-5MAa-co-HMAb)X-b-p(BMAc-co-DMAEMAd-co-PAAe)Y), via reversible addition–fragmentation chain transfer polymerization. The cPMs were then formulated using the synthesized polymer by the dispersion–diffusion method and characterized by dynamic light scattering (DLS) and cryo-transmission electron microscopy (CryoTEM). The membrane-destabilization activity of the cPMs was evaluated by a hemolysis assay. We performed an in vivo functional assay of firefly luciferase (Fluc) mRNA using two of the most commonly studied LNPs, SM102 LNP and Dlin-MC3-DMA LNPs. Results: With a particle size of 61.31 ± 0.68 nm and a zeta potential of 37.76 ± 2.18 mV, the cPMs exhibited a 2–3 times higher firefly luciferase signal at the injection site compared to the control groups without cPMs following intramuscular injection in mice, indicating the high potential of cPMs to enhance the endosomal escape efficiency of mRNA-LNPs. Conclusions: The developed cPM, with enhanced endosomal escape capabilities, presents a promising strategy to improve the expression efficiency of delivered mRNAs. This approach offers a novel alternative strategy with no modifications to the inherent properties of mRNA-LNPs, preventing any unforeseeable changes in formulation characteristics. Consequently, this polymer-based nanomaterial holds immense potential for clinical applications in mRNA-based vaccines. Full article
(This article belongs to the Special Issue Biotechnologies Applied in Vaccine Research)
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<p>Synthesis of p(PEG<sub>4-5</sub>MA)<sub>a</sub>-<span class="html-italic">co</span>-pHMA<sub>b</sub> as a macro-CTA via RAFT polymerization.</p>
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<p>Synthesis of {poly(poly(ethylene glycol)<sub>4-5</sub> methacrylate)<sub>a</sub>-<span class="html-italic">co</span>-poly(hexyl methacrylate)<sub>b</sub>}<sub>X</sub>-<span class="html-italic">b</span>-{poly(butyl methacrylate)<sub>c</sub>-<span class="html-italic">co</span>-poly(dimethylaminoethyl methacrylate)<sub>d</sub>-<span class="html-italic">co</span>-poly(propyl acrylate)<sub>e</sub>}<sub>Y</sub> ({p(PEG<sub>4-5</sub>MA)<sub>a</sub>-<span class="html-italic">co</span>-pHMA<sub>b</sub>}<sub>X</sub>-<span class="html-italic">b</span>-{pBMA<sub>c</sub>-<span class="html-italic">co</span>-pDMAEMA<sub>d</sub>-<span class="html-italic">co</span>-pPAA<sub>e</sub>}<sub>Y</sub>) via RAFT polymerization.</p>
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<p>Cryo-TEM images of (<b>a</b>) cPMs; (<b>b</b>) SM102 LNP-mRNA; and (<b>c</b>) MC3 LNP-mRNA (scale bar is 50 nm for all the images).</p>
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<p>Membrane-destabilizing activity of cPMs and PC-cPMs: (<b>a</b>). Evaluation of membrane-destabilizing activity of cPMs and PC-cPMs (0–500 μg/mL) in combination with SM102 LNPs (2.1 μg/mL) by hemolysis assay under early endosomal (pH 6.5) and physiological (pH 7.4) conditions (<b>b</b>). Effects of cPMs and PC-cPMs (0–500 μg/mL) on encapsulation efficiency of SM102 LNPs (2.1 μg/mL), with implications for formulation stability.</p>
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<p>Cytotoxicity of cPMs after incubation for 24 h.</p>
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<p>Evaluation of intramuscular administration of MC3 LNP-Fluc mRNA (<b>a</b>,<b>b</b>) or SM102 LNP-Fluc mRNA and (<b>c</b>,<b>d</b>) in vivo expression with separate cPM administration in contralateral legs. (<b>a</b>) Representative images of luciferase expression at the MC3 LNP-Fluc mRNA injection site in the whole body 6 h after administration. (<b>b</b>) Total flux (p/s) of luciferase activity at the MC3 LNP-Fluc mRNA injection site calculated using Living imaging software; an unpaired Student’s <span class="html-italic">t</span>-test was performed between the group that received only MC3 LNP-Fluc and the group that received MC3 LNP-Fluc mRNA and cPMs (20 mg/kg) in contralateral legs; * <span class="html-italic">p &lt;</span> 0.05. Data are presented as mean ± standard deviation; <span class="html-italic">n</span> = 3 per experiment group. (<b>c</b>) Representative images of luciferase expression at the SM102 LNP-Fluc mRNA injection site in the whole body 6 h after administration. (<b>d</b>) Total flux (p/s) of luciferase activity at the SM102 LNP-Fluc mRNA injection site calculated using Living imaging software; an unpaired Student’s <span class="html-italic">t</span>-test was performed between the group that received only SM02 LNP-Fluc and the group that received SM102 LNP-Fluc mRNA and cPMs (20 mg/kg) in contralateral legs; * <span class="html-italic">p &lt;</span> 0.05. Data are presented as mean ± standard deviation; <span class="html-italic">n</span> = 5 per experiment group.</p>
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<p>Schematic diagram of cPM-assisted enhancement of LNP-Fluc mRNA expression: 1. cPMs and LNP-Fluc mRNA are separately administered into the contralateral legs of mice (i.m.); 2. cPMs enter into the bloodstream through capillaries, where they are bound by the protein corona; and 3. upon their arrival at the LNP injection site on the contralateral leg, PC-cPMs promote endosomal escape via co-endocytosis with the LNPs, leading to the improved expression efficiency of LNP-Fluc mRNA.</p>
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12 pages, 577 KiB  
Article
Fungal Submerged Fermentation of Coffee Silverskin: A Sustainable Source of Natural Meat Additives
by Stephany Carolina Terán-Rivera, Gastón Ramón Torrescano-Urrutia, Brisa del Mar Torres-Martínez, Martín Esqueda-Valle, Félix Joel Ibarra-Arias, Armida Sánchez-Escalante and Rey David Vargas-Sánchez
Resources 2025, 14(1), 6; https://doi.org/10.3390/resources14010006 - 27 Dec 2024
Viewed by 760
Abstract
The coffee industry, while processing coffee beans, generates residues like husk, pulp, and silverskin, which have been considered a promising source of bioactive metabolites. Recovering these metabolites offers a sustainable strategy to obtain natural food additives. Based on the above, this study aimed [...] Read more.
The coffee industry, while processing coffee beans, generates residues like husk, pulp, and silverskin, which have been considered a promising source of bioactive metabolites. Recovering these metabolites offers a sustainable strategy to obtain natural food additives. Based on the above, this study aimed to determine the effect of the aqueous extract obtained from maceration and fungal fermented coffee silverskin (CSS) on ground pork meat’s oxidative and microbiological stability. Treatments used to recover bioactive compounds from CSS were the following: maceration extraction (ME) using 0, 1.5, and 3.0% of CSS (ME–0%, ME–1.5%, and ME–3%); fungal submerged fermentation extraction (FE) using 0, 1.5, and 3.0% of CSS (FE–0%, FE–1.5%, and FE–3%) and Pleurotus pulmonarius mycelium. Concerning metabolite content and bioactivity, results showed a decrease in the carbohydrate content of the ME and FE-obtained, as well as an increase in the phenol, flavonoid, and caffeoylquinic acid content. Also, an increase in radical cation scavenging activity, reducing power values and antibacterial activity of the extracts obtained with FE, was observed. Regarding pork meat homogenate treated with ME and FE extracts and subjected to oxidation with potassium ferrocyanide, results demonstrated that inclusion of FE-obtained extract led to decreased pH, lipid oxidation, metmyoglobin, and color changes (L*, a*, b*, C*, and h*), and microbial growth. These results demonstrate that CSS aqueous extract obtained with FE can be considered a potential additive for the meat industry with antioxidant and antibacterial activity. Nevertheless, further research is necessary to assess the sensory impact, biochemical mechanism, food safety, sustainability, and industrial feasibility of these extracts for broader applications. Full article
(This article belongs to the Special Issue Resource Extraction from Agricultural Products/Waste: 2nd Edition)
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<p>Effect of treatment and oxidation level on meat homogenates’ pH, TBARS, and MMb values. ME, maceration extraction; FE, fermentation-assisted extraction; BHT, butylated hydroxytoluene. Different letters (a–j) across treatments and oxidation levels indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of treatment and oxidation level on meat homogenates’ mesophilic and psychrophilic values. ME, maceration extraction; FE, fermentation-assisted extraction; BHT, butylated hydroxytoluene. Different letters (a–d) across treatment and oxidation levels indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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18 pages, 4965 KiB  
Article
T14diLys/DOPE Liposomes: An Innovative Option for siRNA-Based Gene Knockdown?
by Sophie Meinhard, Frank Erdmann, Henrike Lucas, Maria Krabbes, Stephanie Krüger, Christian Wölk and Karsten Mäder
Pharmaceutics 2025, 17(1), 25; https://doi.org/10.3390/pharmaceutics17010025 - 27 Dec 2024
Viewed by 966
Abstract
Background/Objectives: Bringing small interfering RNA (siRNA) into the cell cytosol to achieve specific gene silencing is an attractive but also very challenging option for improved therapies. The first step for successful siRNA delivery is the complexation with a permanent cationic or ionizable compound. [...] Read more.
Background/Objectives: Bringing small interfering RNA (siRNA) into the cell cytosol to achieve specific gene silencing is an attractive but also very challenging option for improved therapies. The first step for successful siRNA delivery is the complexation with a permanent cationic or ionizable compound. This protects the negatively charged siRNA and enables transfection through the cell membrane. The current study explores the performance of the innovative, ionizable lipid 2-Tetradecylhexadecanoic acid-(2-bis{[2-(2,6-diamino-1-oxohexyl)amino]ethyl}aminoethyl)-amide (T14diLys), in combination with 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE), for siRNA delivery and the impact of the production method (sonication vs. extrusion) on the particle properties. Methods: Liposomes were produced either with sonication or extrusion and characterized. The extruded liposomes were combined with siRNA at different N/P ratios and investigated in terms of size zeta potential, encapsulation efficiency, lipoplex stability against RNase A, and knockdown efficiency using enhanced green fluorescent protein (eGFP)-marked colon adenocarcinoma cells. Results: The liposomes prepared by extrusion were smaller and had a narrower size distribution than the sonicated ones. The combination of siRNA and liposomes at a nitrogen-to-phosphate (N/P) ratio of 5 had optimal particle properties, high encapsulation efficiency, and lipoplex stability. Gene knockdown tests confirmed this assumption. Conclusions: Liposomes produced with extrusion were more reproducible and provided enhanced particle properties. The physicochemical characterization and in vitro experiments showed that an N/P ratio of 5 was the most promising ratio for siRNA delivery. Full article
(This article belongs to the Special Issue Drug Nanocarriers for Pharmaceutical Applications)
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<p>Impact of the manufacturing process on Z-Average and Polydispersity index (PDI) between T14diLys:DOPE (1:2) liposome (0.05 µg/µL) preparation with extrusion and sonication in 10 mM MES buffer pH 6.5, three samples per batch with three measurements each.</p>
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<p>(<b>A</b>) Impact of storage time on size and polydispersity for 28 days of T14diLys:DOPE (1:2) liposomes (0.05 µg/µL) prepared with extrusion in 10 mM MES buffer pH 6.5, n = 3. The error bars are within the limits of the symbols. (<b>B</b>) Results of zeta potential of three T14diLys:DOPE (1:2) liposome (0.6 µg/µL) samples of two batches in 10 mM MES buffer pH 6.5, n = 3.</p>
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<p>Impact of N/P ratio on particle size, polydispersity (<b>A</b>), and zeta potential (<b>B</b>) in 10 mM MES buffer pH 6.5 of T14diLys:DOPE (1:2) lipoplexes (5 ng/µL siRNA per sample), n = 3. Red dots correspond to the mean value of the three black dots, which represents the PDI.</p>
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<p>Separation of lipoplex preparations in agarose gel electrophoresis as a function of different N/P ratios: The complexation efficiency of siRNA by T14diLys:DOPE (1:2). Lipoplex = LPX. At NP ratios &gt; 1, no band visible.</p>
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<p>TEM images of T14diLys:DOPE (1:2) lipoplexes in 10 mM MES buffer pH 6.5 after adding uranyl acetate for negative staining at N/P 2 (<b>A</b>), N/P 3 (<b>B</b>)<b>,</b> N/P 4 (<b>C</b>), and N/P 5 (<b>D</b>)—scale bar in (<b>A</b>,<b>B</b>) represents 500 nm—and (<b>C</b>,<b>D</b>) 250 nm Cryo-TEM images of T14diLys:DOPE (1:2) lipoplexes in 10 mM MES buffer pH 6.5 at N/P 2 (<b>E</b>), N/P 3 (<b>F</b>), N/P 4 (<b>G</b>), and N/P 5 (<b>H</b>)—scale bar in (<b>E</b>–<b>H</b>) represents 200 nm. Black arrows indicate for lipoplexes, white arrows for uncomplexed liposomes.</p>
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<p>Agarose gel electrophoresis chromatogram of T14diLys:DOPE (1:2) lipoplexes (LPX) at N/P 5 after incubation with RNase A (R-A) and release of stable siRNA out of lipoplex with Heparin after RNase A and RNase Inhibitor (R-IH) treatment. The red boxes highlight the important bands.</p>
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<p>(<b>A</b>) Boxplot of eGFP expression level of (N/P 2–5) T14diLys:DOPE (1:2) lipoplexes at different N/P ratios after 72 h incubation (100 nM siRNA); (NC) negative control = scrambled siRNA + Lipofectamine2000 and (PC) positive control = eGFP siRNA with Lipofectamine2000 and (UT) untreated eGFP-DLD1 cells. eGFP expression was analyzed as duplicates. The experiment was repeated 3 times independently. Untreated eGFP-DLD1 cells are set to 100%. (<b>B</b>) Fluorescence images with Cytation 5 after 72 h from transfection of eGFP-DLD1 cells, A1 eGFP siRNA with Lipofectamine2000, and scrambled siRNA with Lipofectamine2000 (A2) with Lipofectamine2000, A3 untreated eGFP-DLD1 cells, A4 wildtype DLD1 cells. B1–4 T14 diLys:DOPE (1:2) lipoplexes N/P 2–5, C1–4 liposome amount N/P 2–5. 200 × zoom, scale bars = 100 µm. (<b>C</b>): Flow cytometry data as dot plots (<b>C1</b>–<b>C4</b>) and histograms (<b>C5</b>–<b>C8</b>) from (<b>C1</b> + <b>C5</b>): wildtype DLD1 cells, (<b>C2</b> + <b>C6</b>): eGFP-DLD1 cells, (<b>C3</b> + <b>C7</b>): eGFP-DLD1 cells with Lipofectamine2000 + siRNA, (<b>C4</b> + <b>C6</b>): eGFP-DLD1 cells with T14diLys:DOPE (1:2) + siRNA N/P 5. M7, 4, and 1 represent the GFP intensity in (<b>C5</b>–<b>C8</b>).</p>
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<p>eGFP expression level of eGFP-DLD1 cells at different N/P ratios (100 nM siRNA) after 72 h incubation with and without sterile filtration of T14diLys:DOPE (1:2) liposomes before transfection using 0.20 µm regenerative cellulose filter membrane. The (NC) negative control = scrambled siRNA + Lipofectamine2000 and (PC) positive control = eGFP-siRNA were combined with Lipofectamine2000, (UT) untreated eGFP-DLD1 cells. eGFP expression was analyzed as duplicates. The experiment was repeated 3 times independently. Untreated eGFP-DLD1 cells are set to 100%.</p>
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<p>eGFP expression level at increasing N/P ratios (100 nM siRNA) of T14diLys:DOPE (1:2) lipoplexes after 72 h incubation; UT = untreated eGFP-DLD1 cells.</p>
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<p>Results of cytotoxicity of T14diLys/DOPE (1:2) lipoplexes at N/P 5 and 10 with siRNA concentrations of 1, 2.8, and 10 µg/mL after 24 h and 96 h incubation in NHDF and 3T3 cells. (<b>A</b>) NHDF after 24 h, (<b>B</b>) NHDF after 96 h, (<b>C</b>) 3T3 after 24 h, (<b>D</b>) 3T3 after 96 h. The vital control contains just cells and medium representing the 100% vital cells, and the positive control includes also Triton X100, which represents the most toxic effect possible. Results are presented as mean ± SD, n = 4.</p>
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20 pages, 2332 KiB  
Article
Melittin-Induced Structural Transformations in DMPG and DMPS Lipid Membranes: A Langmuir Monolayer and AFM Study
by Joanna Juhaniewicz-Debinska
Molecules 2024, 29(24), 6064; https://doi.org/10.3390/molecules29246064 - 23 Dec 2024
Viewed by 666
Abstract
In this study, we explore the interactions between melittin, a cationic antimicrobial peptide, and model lipid membranes composed of the negatively charged phospholipids 1,2-dimyristoyl-sn-glycero-3-phosphoglycerol (DMPG) and 1,2-dimyristoyl-sn-glycero-3-phosphoserine (DMPS). Using the Langmuir monolayer technique and atomic force microscopy (AFM), we reveal novel insights into [...] Read more.
In this study, we explore the interactions between melittin, a cationic antimicrobial peptide, and model lipid membranes composed of the negatively charged phospholipids 1,2-dimyristoyl-sn-glycero-3-phosphoglycerol (DMPG) and 1,2-dimyristoyl-sn-glycero-3-phosphoserine (DMPS). Using the Langmuir monolayer technique and atomic force microscopy (AFM), we reveal novel insights into these interactions. Our key finding is the observation of the ripple phase in the DMPS bilayer on mica, a phenomenon not previously reported for negatively charged single bilayers. This discovery is significant given the critical role of phosphatidylserine (PS) in cancer biology and the potential of melittin as an anticancer agent. We also highlight the importance of subphase composition, as melittin interacts preferentially with lipids in the liquid-condensed phase; thus, selecting the appropriate subphase composition is crucial because it affects lipid behavior and consequently melittin interactions. Our results show that melittin incorporates into lipid monolayers in both liquid-expanded and liquid-condensed phases, enhancing membrane fluidity and disorder, but is expelled from DMPS in the solid phase. AFM imaging further reveals that melittin induces substantial structural changes in the DMPG membrane and forms the ripple phase in the DMPS bilayers. Despite these alterations, melittin does not cause pore formation or membrane rupture, suggesting strong electrostatic adsorption on the membrane surface that prevents penetration. These findings highlight the differential impacts of melittin on lipid monolayers and bilayers and underscore its potential for interacting with membranes without causing disruption. Full article
(This article belongs to the Section Natural Products Chemistry)
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<p>Surface pressure vs. molecular area isotherms of DMPG/MLT mixtures containing 0% (black), 2 mol% (red), and 10 mol% (green) melittin compressed on (<b>A</b>) pure water and (<b>B</b>) buffer subphase. The inset shows the compression modulus (Cs<sup>−1</sup>) vs. surface pressure plots. (<b>C</b>) Surface pressure vs. molecular area isotherms of melittin compressed on pure water (red) and buffer subphase (green).</p>
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<p>Excess area (squares) and excess Gibbs energy of mixing (circles) vs. surface pressures of DMPG/MLT mixed monolayers containing 2 mol% (red) and 10 mol% (green) melittin compressed on (<b>A</b>) pure water and (<b>B</b>) buffer subphase.</p>
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<p>Surface pressure vs. molecular area isotherms of DMPS/MLT mixtures containing 0% (black), 2 mol% (red), and 10 mol% (green) melittin compressed on (<b>A</b>) pure water and (<b>B</b>) buffer subphase. The insets show the compression modulus (Cs<sup>−1</sup>) vs. surface pressure plots.</p>
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<p>Excess area (squares) and excess Gibbs energy of mixing (circles) vs. surface pressures of DMPS/MLT mixed monolayers containing 2 mol% (red) and 10 mol% (green) melittin compressed on (<b>A</b>) pure water and (<b>B</b>) buffer subphase.</p>
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<p>MAC mode topography images of the DMPG bilayer after (<b>A</b>) 0 min, (<b>B</b>) 1 h, (<b>C</b>) 3 h, and (<b>D</b>) 12 h of exposure to 10 μM melittin. The thickness of the membrane is shown in the left lower corner (for details see <a href="#app1-molecules-29-06064" class="html-app">supporting information</a>).</p>
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<p>MAC mode topography images of the DMPS bilayer after (<b>A</b>) 0 min, (<b>B</b>) 15 min of exposure to 10 μM melittin. The thickness of the membrane is shown in the left lower corner (for details see <a href="#app1-molecules-29-06064" class="html-app">supporting information</a>).</p>
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13 pages, 2192 KiB  
Article
Gramicidin A in Asymmetric Lipid Membranes
by Oleg V. Kondrashov and Sergey A. Akimov
Biomolecules 2024, 14(12), 1642; https://doi.org/10.3390/biom14121642 - 20 Dec 2024
Viewed by 854
Abstract
Gramicidin A is a natural antimicrobial peptide produced by Bacillus brevis. Its transmembrane dimer is a cation-selective ion channel. The channel is characterized by the average lifetime of the conducting state and the monomer–dimer equilibrium constant. Dimer formation is accompanied by deformations [...] Read more.
Gramicidin A is a natural antimicrobial peptide produced by Bacillus brevis. Its transmembrane dimer is a cation-selective ion channel. The channel is characterized by the average lifetime of the conducting state and the monomer–dimer equilibrium constant. Dimer formation is accompanied by deformations of the membrane. We theoretically studied how the asymmetry in lipid membrane monolayers influences the formation of the gramicidin A channel. We calculated how the asymmetry in the spontaneous curvature and/or lateral tension of lipid monolayers changes the channel lifetime and shifts the equilibrium constant of the dimerization/dissociation process. For the asymmetry expected to arise in plasma membranes of mammalian cells upon the addition of gramicidin A or its derivatives to the cell exterior, our model predicts a manifold increase in the average lifetime and equilibrium constant. Full article
(This article belongs to the Section Molecular Biophysics: Structure, Dynamics, and Function)
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<p>Configurations of two gA molecules located in opposing monolayers of the membrane: two monomers (left); conducting dimer (right); and coaxial pair (middle, top). The elastic energy of the membrane in these configurations is shown schematically. The states of two monomers and the conducting dimer are stable and metastable, respectively. These two configurations are in equilibrium with each other. The coaxial pair corresponds to the top of the energy barrier of the dimerization/dissociation process. The energy barrier of dimerization is the difference in the energies of the coaxial pair and two monomers; the energy barrier of dissociation is the difference in the energies of the coaxial pair and dimer. The only ion-conducting configuration is the dimer. Ionic conductance is harmful to cells as it leads to homeostasis violation.</p>
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<p>Dependences of logarithms of normalized dimer lifetime <span class="html-italic">τ</span><sub>0</sub>/<span class="html-italic">τ</span><sub>00</sub> and normalized equilibrium constant <span class="html-italic">K</span><sub>0</sub>/<span class="html-italic">K</span><sub>00</sub> at almost zero lateral tensions, <span class="html-italic">σ<sub>u</sub></span> = <span class="html-italic">σ<sub>l</sub></span> ≈ 0 (corresponding to plasma membranes of cells or deflated GUVs) on spontaneous curvatures of the outer (<span class="html-italic">J<sub>u</sub></span>) and inner (<span class="html-italic">J<sub>l</sub></span>) monolayers. Larger <span class="html-italic">K</span><sub>0</sub> corresponds to larger equilibrium number of dimers and higher integral conductance of the membrane.</p>
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<p>Dependence of normalized gA dimer lifetime <span class="html-italic">τ</span>/<span class="html-italic">τ</span><sub>0</sub> on lateral tensions in the outer (<span class="html-italic">σ<sub>u</sub></span>) and inner (<span class="html-italic">σ<sub>l</sub></span>) monolayers for different values of spontaneous curvature of the outer (<span class="html-italic">J<sub>u</sub></span>) and inner (<span class="html-italic">J<sub>l</sub></span>) monolayers. The values of <span class="html-italic">τ</span><sub>0</sub> were obtained as the limit of <span class="html-italic">τ</span> when (<span class="html-italic">σ<sub>u</sub></span>, <span class="html-italic">σ<sub>l</sub></span>) → (0, 0), corresponding to plasma membranes of cells or deflated GUVs. In white triangles in left-lower corners of the plots, <span class="html-italic">σ<sub>u</sub></span> + <span class="html-italic">σ<sub>l</sub></span> &lt; 0, and the membrane is mechanically unstable. Thus, only right-upper halves of the plots are displayed.</p>
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<p>Dependence of normalized gA dimer–monomer equilibrium constant <span class="html-italic">K</span>/<span class="html-italic">K</span><sub>0</sub> on lateral tensions in the outer (<span class="html-italic">σ<sub>u</sub></span>) and inner (<span class="html-italic">σ<sub>l</sub></span>) monolayers for different values of spontaneous curvature of the outer (<span class="html-italic">J<sub>u</sub></span>) and inner (<span class="html-italic">J<sub>l</sub></span>) monolayers. The values of <span class="html-italic">K</span><sub>0</sub> were obtained as the limit of <span class="html-italic">K</span> when (<span class="html-italic">σ<sub>u</sub></span>, <span class="html-italic">σ<sub>l</sub></span>) → (0, 0), corresponding to plasma membranes of cells or deflated GUVs. In white triangles in left-lower corners of the plots, <span class="html-italic">σ<sub>u</sub></span> + <span class="html-italic">σ<sub>l</sub></span> &lt; 0, and the membrane is mechanically unstable. Thus, only right-upper halves of the plots are displayed.</p>
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27 pages, 5078 KiB  
Review
Boosting Lipofection Efficiency Through Enhanced Membrane Fusion Mechanisms
by Rais V. Pavlov, Sergey A. Akimov, Erdem B. Dashinimaev and Pavel V. Bashkirov
Int. J. Mol. Sci. 2024, 25(24), 13540; https://doi.org/10.3390/ijms252413540 - 18 Dec 2024
Viewed by 999
Abstract
Gene transfection is a fundamental technique in the fields of biological research and therapeutic innovation. Due to their biocompatibility and membrane-mimetic properties, lipid vectors serve as essential tools in transfection. The successful delivery of genetic material into the cytoplasm is contingent upon the [...] Read more.
Gene transfection is a fundamental technique in the fields of biological research and therapeutic innovation. Due to their biocompatibility and membrane-mimetic properties, lipid vectors serve as essential tools in transfection. The successful delivery of genetic material into the cytoplasm is contingent upon the fusion of the vector and cellular membranes, which enables hydrophilic polynucleic acids to traverse the hydrophobic barriers of two intervening membranes. This review examines the critical role of membrane fusion in lipofection efficiency, with a particular focus on the molecular mechanisms that govern lipoplex–membrane interactions. This analysis will examine the key challenges inherent to the fusion process, from achieving initial membrane proximity to facilitating final content release through membrane remodeling. In contrast to viral vectors, which utilize specialized fusion proteins, lipid vectors necessitate a strategic formulation and environmental optimization to enhance their fusogenicity. This review discusses recent advances in vector design and fusion-promoting strategies, emphasizing their potential to improve gene delivery yield. It highlights the importance of understanding lipoplex–membrane fusion mechanisms for developing next-generation delivery systems and emphasizes the need for continued fundamental research to advance lipid-mediated transfection technology. Full article
(This article belongs to the Special Issue Molecular Advances in Liposome-Based Drug Delivery Systems)
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<p>Applications of transfection in biological systems. (<b>i</b>) Gene silencing via RNA: transfected siRNA, miRNA, or antisense RNA interfere with mRNA translation, leading to gene silencing (e.g., studying gene function, therapeutic target validation). (<b>ii</b>) mRNA delivery and translation: transfected mRNA is translated into proteins by ribosomes (e.g., protein expression studies, therapeutic protein production). (<b>iii</b>) Gene addition and expression: recombinant transgenic, “alien” DNA introduced into the nucleus undergoes transcription, resulting in mRNA production, which subsequently enters the cytoplasm for translation (e.g., overexpression studies, generating cell lines with specific characteristics). (<b>iv</b>) Stable transfection: alien DNA integrates into the host genome (often mediated by CRISPR/Cas9 systems), enabling long-term expression (e.g., generation of stable cell lines for research and therapeutic applications).</p>
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<p>Structure and cellular entry mechanisms of lipid-based gene delivery vectors. (<b>a</b>) Structural diversity of lipid-based vectors for gene delivery: (<b>i</b>) Lamellar lipoplex: multilamellar structure with DNA/RNA sandwiched between cationic lipid bilayers. (<b>ii</b>) Hexagonal phase lipoplex: inverted hexagonal phase with nucleic acids enclosed within lipid-lined water channels. (<b>iii</b>) Solid lipid nanoparticle (SLN)/nanostructured lipid carrier (NLC): solid or solid–liquid matrix core surrounded by lipid monolayer. (<b>iv</b>) Nanoghost: cell membrane-derived vesicle retaining native membrane proteins and incorporating genetic cargo. (<b>b</b>) Pathways for cellular entry and genetic cargo delivery. (<b>i</b>) Direct fusion pathway: immediate fusion with plasma membrane; direct cytoplasmic release of genetic material; bypasses endosomal compartmentalization. (<b>ii</b>) Endosomal fusion escape: internalization via endocytosis; fusion with endosomal membrane; controlled release of genetic cargo; membrane merger preserves compartment integrity. (<b>iii</b>) Endosomal rupture pathway: pH-dependent ionization of lipids; osmotic pressure buildup (“proton sponge effect”); endosomal membrane destabilization and rupture; bulk release of vesicle contents.</p>
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<p>Membrane fusion pathway and associated energy landscape. (<b>a</b>) Sequential stages of membrane fusion. Key feature shown in cross-sectional view. (<b>b</b>) Free energy profile of the fusion cascade.</p>
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<p>Factors modulating lipid-based vector approaching cellular membrane. (<b>a</b>) Strategies enhancing vector-membrane adhesion. (<b>b</b>) Barriers impeding vector-membrane contact.</p>
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<p>Sources of hydrophobic defect formation in lipid-based vector shell: (<b>i</b>) solid–liquid crystalline phase coexistence; (<b>ii</b>) lipid packing defects produced by inverted conical lipids; (<b>iii</b>) lipophilic moieties in lipid-based vector formulation.</p>
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<p>Driving forces of membrane reorganization after its initial contact: (<b>i</b>) the accumulation of inverted-conical lipids (indicated in yellow) that facilitate highly curved temporary structures; (<b>ii</b>) lipid mixing under high chemical potential gradient blue and red arrows indicate the flux direction of lipids from different membranes, shown as red and blue circles.</p>
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<p>Strategies for enhanced pore formation in hemifusion diaphragm: (<b>i</b>) diaphragm thinning by employment of cationic lipids with shorter acyl chains; (<b>ii</b>) ionizable lipids having cone shape in protonated state. Red and blue circles indicate lipids from two different membranes.</p>
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17 pages, 3211 KiB  
Article
Molecular Insights into the Interactions Between Human Serum Albumin and Phospholipid Membranes
by Maciej Przybyłek, Piotr Bełdowski, Damian Ledziński, Zbigniew Lutowski, Adam Mazurkiewicz, Przemysław Raczyński, Andra Dedinaite and Per M. Claesson
Appl. Sci. 2024, 14(24), 11753; https://doi.org/10.3390/app142411753 - 17 Dec 2024
Viewed by 958
Abstract
In this study, molecular dynamics simulations were employed to analyze interactions between phospholipid membranes and human serum albumin (HSA) in the presence of mono- and divalent cations. Two types of membranes, composed of dipalmitoyl phosphatidylcholine (DPPC) and dipalmitoyl phosphatidylethanolamine (DPPE), were utilized. The [...] Read more.
In this study, molecular dynamics simulations were employed to analyze interactions between phospholipid membranes and human serum albumin (HSA) in the presence of mono- and divalent cations. Two types of membranes, composed of dipalmitoyl phosphatidylcholine (DPPC) and dipalmitoyl phosphatidylethanolamine (DPPE), were utilized. The results revealed that both systems exhibited high stability. The DPPE complexes displayed a greater affinity for albumin compared to DPPC. The high stability of the complexes was attributed to a high number of ionic contacts and hydrogen bonds. The presence of mono- and divalent metal cations significantly influenced the membrane’s capacity to bind proteins. However, these effects varied depending on the phospholipid composition of the bilayer. The studies confirmed the relatively low ability of DPPC to bind potassium ions, as previously observed by others. Consequently, the DPPC/HSA/K+ complex was found to be the least stable among the systems studied. While DPPC interactions were limited to HSA domains I and II, DPPE was able to interact with all domains of the protein. Both lipid bilayers exhibited substantial structural changes and characteristic curvature induced by interactions with HSA, which confirms the formation of relatively strong interactions capable of influencing the arrangement of the phospholipids. Full article
(This article belongs to the Section Chemical and Molecular Sciences)
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Graphical abstract

Graphical abstract
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<p>Preferred orientations of HSA concerning the phospholipid bilayer, illustrated by selected snapshots of complexes in the presence of Ca<sup>2+</sup> cations. The membrane is colored pink, HSA domains: I—green, II—yellow, III—red. Panel (<b>A</b>) shows the preferred arrangement of HSA on the DPPC membrane. Panels (<b>B</b>) and (<b>C</b>) present the two possible orientations of HSA with respect to the DPPE membrane.</p>
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<p>The effect of HSA adsorption on mass profiles of DPPC (<b>A</b>) and DPPE (<b>B</b>) phospholipid bilayers. The z-parameter denotes the distance from the membrane center. Smoothed plots were obtained using a moving average. The mass density values of head group nitrogens were scaled by a factor of 20 due to their low magnitude.</p>
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<p>Examples of key membrane–HSA interactions are DPPC/HSA (<b>A</b>,<b>B</b>) and DPPE/HSA (<b>C</b>,<b>D</b>). Pink solid lines indicate ionic interactions. Dotted pink—H-bonds. Atoms of lipids are presented in ball-like models and colored in the following fashion: turquoise—carbon, red—oxygen, blue—nitrogen, and yellow—phosphorus. The calcium cation is represented by a pink ball. Large yellow balls indicate magnesium ions. Solid lines with additional side groups in a stick-like model represent the HSA molecule. Its color corresponds to the domains depicted in <a href="#applsci-14-11753-f001" class="html-fig">Figure 1</a>. The panels highlight interactions with specific residues in HSA: Panel A: GLU 321; Panel B: LYS 317, LYS 313, HIS 367, and ASP 365; Panel C: HIS 9, LYS 12, and GLU 16; Panel D: GLU 321, ASP 314, and LYS 317.</p>
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<p>Bar plot showing the average free binding energy of HSA to the bilayer and its standard deviation for all cases studied. The symbols PC and PE represent the phospholipid membranes formed by DPPC and DPPE, respectively.</p>
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<p>Root mean square deviation (RMSD) between the Cartesian atom coordinates in the two selections of HSA evolution in time. PC and PE symbols denote the phospholipid membranes formed by DPPC and DPPE, respectively.</p>
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<p>Bar plot showing the average number and standard deviation of direct ionic interactions for all cases studied. The symbols PC and PE represent the phospholipid membranes formed by DPPC and DPPE, respectively.</p>
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<p>Bar plot showing the average number of hydrogen bonds and their standard deviation for all cases studied. The symbols PC and PE represent the phospholipid membranes formed by DPPC and DPPE, respectively.</p>
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13 pages, 1241 KiB  
Article
Mechanisms of Polymyxin Resistance in Acid-Adapted Enteroinvasive Escherichia coli NCCP 13719 Revealed by Transcriptomics
by Daekeun Hwang and Hyun Jung Kim
Microorganisms 2024, 12(12), 2549; https://doi.org/10.3390/microorganisms12122549 - 11 Dec 2024
Viewed by 829
Abstract
Acid adaptation in Escherichia coli can induce antimicrobial resistance (AMR), posing challenges to global public health. We investigated the effects of acid adaptation on antimicrobial susceptibility, gene expression, zeta potential, and the outer membrane (OM) properties of Escherichia coli NCCP 13719. The acid-adapted [...] Read more.
Acid adaptation in Escherichia coli can induce antimicrobial resistance (AMR), posing challenges to global public health. We investigated the effects of acid adaptation on antimicrobial susceptibility, gene expression, zeta potential, and the outer membrane (OM) properties of Escherichia coli NCCP 13719. The acid-adapted (AA) strain exhibited increased resistance to multiple antimicrobials, with minimum inhibitory concentrations for colistin and polymyxin B increasing eight- and two-fold, respectively. Transcriptomic analysis identified 2225 differentially expressed genes, including upregulated genes associated with resistance to cationic antimicrobial peptides such as arnCTE, marA, and tolC. The upregulation of the arn operon suggests modifications in lipid A of lipopolysaccharides (LPS), reducing the negative charge of the OM and decreasing polymyxin binding affinity. Zeta potential measurements indicated a shift toward a less negative surface charge in the AA strain, which is consistent with LPS modifications. The AA strain also showed decreased OM permeability, which correlated with increased resistance to antimicrobials that penetrate the OM. These mechanisms collectively diminish the efficacy of polymyxins and highlight the potential for environmental factors to drive antimicrobial resistance. In conclusion, the acid adaptation of E. coli NCCP 13719 enhances AMR through changes in gene expression and OM modifications, highlighting the need for careful control of acidic environments during the treatment of medical devices and wastewater from food processing to prevent the emergence of resistant strains. Full article
(This article belongs to the Special Issue Polymyxin Resistance in Gram-Negative Bacteria)
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<p>Phenotypic alterations resulting from acid adaptation with rich nutrients. (<b>A</b>) Minimum inhibitory concentration differences of polymyxins between NCCP 13719 control and NCCP 13719 AAR strains. (<b>B</b>) Viable <span class="html-italic">E. coli</span> count under low pH (pH 3.5) post 24 h cultivation in tryptic soy broth at 37 °C. Statistical significance was determined using an unpaired <span class="html-italic">t</span>-test: <span class="html-italic">p</span> &lt; 0.05 (*).</p>
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<p>Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis for upregulated genes between control vs. acid adaptation with rich nutrients.</p>
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<p>Genomic arrangement of genes linked to the acid-fitness island and the <span class="html-italic">arn</span> operon. Arrows, scaled to represent gene length and orientation, illustrate the log<sub>2</sub> fold change in upregulation for each gene based on RNA-seq analysis. (<b>A</b>) Acid-fitness island and (<b>B</b>) <span class="html-italic">arn</span> operon.</p>
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<p>Evaluation of cell surface charge and outer membrane permeability in control and acid-adapted strains. (<b>A</b>) Cell surface charge based on the zeta potential of <span class="html-italic">E. coli</span>. (<b>B</b>) Outer membrane permeability assessed by 1-N-phenylnaphthylamine (NPN) uptake in <span class="html-italic">E. coli</span>. Statistical significance was determined by unpaired <span class="html-italic">t</span>-test: <span class="html-italic">p</span> &lt; 0.01 (**).</p>
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21 pages, 2739 KiB  
Article
Computationally Optimized Hemagglutinin Proteins Adjuvanted with Infectimune® Generate Broadly Protective Antibody Responses in Mice and Ferrets
by James D. Allen, Xiaojian Zhang, Jessica M. Medina, Matthew H. Thomas, Amanda Lynch, Ron Nelson, Julia Aguirre and Ted M. Ross
Vaccines 2024, 12(12), 1364; https://doi.org/10.3390/vaccines12121364 - 2 Dec 2024
Viewed by 1312
Abstract
Background/Objectives: Standard-of-care influenza vaccines contain antigens that are typically derived from components of wild type (WT) influenza viruses. Often, these antigens elicit strain-specific immune responses and are susceptible to mismatch in seasons where antigenic drift is prevalent. Thanks to advances in viral surveillance [...] Read more.
Background/Objectives: Standard-of-care influenza vaccines contain antigens that are typically derived from components of wild type (WT) influenza viruses. Often, these antigens elicit strain-specific immune responses and are susceptible to mismatch in seasons where antigenic drift is prevalent. Thanks to advances in viral surveillance and sequencing, influenza vaccine antigens can now be optimized using computationally derived methodologies and algorithms to enhance their immunogenicity. Methods: Mice and ferrets that had been previously exposed to historical H1N1 and H3N2 influenza viruses were vaccinated intramuscularly with bivalent mixtures of H1 and H3 recombinant hemagglutinin (rHA) proteins, which were generated using a computationally optimized broadly reactive antigen (COBRA) design methodology. The vaccine antigens were mixed with a cationic lipid nanoparticle adjuvant, Infectimune®, which promotes both humoral and cellular immune responses. Results: Mice and ferrets vaccinated with Infectimune® and COBRA rHAs elicited protective antibody titers against panels of H1N1 and H3N2 influenza viruses isolated over the past 10 years. These animals also had antibodies that neutralized numerous modern H1N1 and H3N2 influenza viruses in vitro. When challenged with the A/Victoria/2570/2019 H1N1 influenza virus, the COBRA rHA vaccinated animals had minimal weight loss, and no detectable virus was present in their respiratory tissues on day 3 post-infection. Conclusions: These results demonstrate that COBRA rHA vaccines formulated with Infectimune® elicit protective antibody responses against influenza strains, which were isolated across periods of time when standard-of-care vaccines were frequently reformulated, thus reducing the need to update vaccines on a nearly annual basis. Full article
(This article belongs to the Section Vaccines against Infectious Diseases)
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<p>Mouse H1N1 HAI panel. HAI assays were performed using serum collected from each mouse on day 72 of the study against a panel of H1N1 viruses. The H1N1 panel consisted of 5 viruses isolated from 2009 to 2019 and are listed at the top of each graph (<b>A</b>–<b>E</b>). The Log2 HAI titer is reported on the y-axis. The lower dotted line on the y-axis represents an HAI titer of 1:40, and the upper dotted line represents a titer of 1:80. The vaccine groups are listed on the x-axis of each figure (1–6). (1) 3 μg rHA no adjuvant (blue). (2) Pre-immune mock vaccinated (red). (3) 3 μg rHA + Infectimune<sup>®</sup> (green). (4) 0.6 μg rHA + Infectimune<sup>®</sup> (purple). (5) 0.12 μg rHA + Infectimune<sup>®</sup> (orange). (6) 0.024 μg rHA + Infectimune<sup>®</sup> (black). Statistical values were determined via one-way ANOVA (* = <span class="html-italic">p</span> &lt; 0.05, ** = <span class="html-italic">p</span> &lt; 0.01, *** = <span class="html-italic">p</span> &lt; 0.001, **** = <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Mouse H3N2 HAI panel. HAI assays were performed using serum collected from each mouse on day 72 of the study against a panel of H3N2 viruses. The H3N2 panel consisted of 8 viruses isolated from 2013 to 2020 and are listed at the top of each graph (<b>A</b>–<b>H</b>). The Log2 HAI titer is reported on the y-axis. The lower dotted line on the y-axis represents an HAI titer of 1:40, and the upper dotted line represents a titer of 1:80. The vaccine groups are listed on the x-axis of each figure (1–6). (1) 3 μg rHA no adjuvant (blue). (2) Pre-immune mock vaccinated (red). (3) 3 μg rHA + Infectimune<sup>®</sup> (green). (4) 0.6 μg rHA + Infectimune<sup>®</sup> (purple). (5) 0.12 μg rHA + Infectimune<sup>®</sup> (orange). (6) 0.024 μg rHA + Infectimune<sup>®</sup> (black). Statistical values were determined via one-way ANOVA (* = <span class="html-italic">p</span> &lt; 0.05, ** = <span class="html-italic">p</span> &lt; 0.01, *** = <span class="html-italic">p</span> &lt; 0.001, **** = <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Mouse total IgG and isotype ELISA tiers. ELISA assays detecting the presence of total IgG or different antibody isotypes were performed using serum collected from each mouse on day 72 of the study that was pooled for each group. Plates were coated with either Y2 (<b>A</b>–<b>C</b>) H1 or NG2 (<b>D</b>–<b>F</b>) H3 rHA and probed with different secondary antibodies specific for either total IgG (<b>A</b>,<b>D</b>), IgG1 (<b>B</b>,<b>E</b>) or IgG2a (<b>C</b>,<b>F</b>). Endpoint dilution titers are plotted on the y-axis, and the vaccine groups are listed on the x-axis of each figure (1–6). (1) 3 μg rHA no adjuvant (blue). (2) Pre-immune mock vaccinated (red). (3) 3 μg rHA + Infectimune<sup>®</sup> (green). (4) 0.6 μg rHA + Infectimune<sup>®</sup> (purple). (5) 0.12 μg rHA + Infectimune<sup>®</sup> (orange). (6) 0.024 μg rHA + Infectimune<sup>®</sup> (black). The ratio of the IgG1:IgG2a endpoint dilution titers were determined for the H1-specific anti-Y2 antibodies (<b>G</b>) and H3 specific anti-NG2 antibodies (<b>H</b>) for each group of vaccinated mice.</p>
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<p>Mouse challenge weight loss and viral plaque titers. Mice were infected with A/Victoria/2570/2019 H1N1 virus on day 86 of the study. The mice were monitored for weight loss and survival (% listed next to each vaccine group) (<b>A</b>). On day 3 following infection, lungs were harvested from 3 mice in each group, which were assessed for viral titers via plaque assay (<b>B</b>). The different groups are represented in each figure by different colors: 3 μg rHA (blue), pre-immune mock vaccinated (red). 3 μg rHA + Infectimune<sup>®</sup> (green). 0.6 μg rHA + Infectimune<sup>®</sup> (purple). (5) 0.12 μg rHA + Infectimune<sup>®</sup> (orange). (6) 0.024 μg rHA + Infectimune<sup>®</sup> (black). Statistical values were determined via one-way ANOVA (* = <span class="html-italic">p</span> &lt; 0.05, ** = <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Ferret H1N1 and H3N2 HAI panel. HAI assays were performed using serum collected from each ferret on day 102 of the study against a panel of H1N1 (<b>A</b>–<b>C</b>) and H3N2 (<b>D</b>–<b>F</b>) viruses. The H1N1 panel consisted of 5 viruses isolated from 2009 to 2019, and the H3N2 panel consisted of 8 viruses isolated from 2013 to 2020. The vaccine groups are listed at the top of each figure. The Log2 HAI titer is reported on the y-axis. The lower dotted line on the y-axis represents an HAI titer of 1:40, and the upper dotted line represents a titer of 1:80. The viruses in each panel are listed on the x-axis of each figure. Statistical values were determined via one-way ANOVA (* = <span class="html-italic">p</span> &lt; 0.05, ** = <span class="html-italic">p</span> &lt; 0.01, *** = <span class="html-italic">p</span> &lt; 0.001, **** = <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Ferret H1N1 and H3N2 Microneutralization panel. Microneutralization assays were performed using pooled serum collected from each group of ferrets on day 102 of the study against a panel of H1N1 and H3N2 viruses. The H1N1 panel consisted of 5 viruses isolated from 2009 to 2019 (<b>A</b>–<b>E</b>), and the H3N2 panel consisted of 5 viruses isolated from 2016 to 2020 (<b>F</b>–<b>J</b>). The Log2 50% neutralization titers are listed on the y-axis of each figure. The vaccine groups are listed on the x-axis of each figure. The virus used in each assay is listed at the top of each figure. Data from each group are represented by different colors: Y2 + NG2 (blue), Mich/15 + Sing/16 (red), and pre-immune mock vaccinated (black).</p>
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<p>Ferret challenge weight loss and viral plaque titers. The vaccinated pre-immune ferrets were infected with A/Victoria/2570/2019 H1N1 virus on day 116 of the study and were tracked for weight loss for 14 days (<b>A</b>). Weight loss values were reported as percent original body weight based on the weight of each animal on day 116 and are listed on the y-axis. On day 3 following infection, nasal wash samples were collected from the ferrets in each group, which were assessed for viral titers via viral plaque assay (<b>B</b>). Viral titers of the nasal wash samples are reported as PFU/mL on the y-axis. Data from each group are represented by different colors: Y2 + NG2 (blue), Mich/15 + Sing/16 (red), and pre-immune mock vaccinated (black).</p>
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26 pages, 6769 KiB  
Review
Effect of Lipid Nanoparticle Physico-Chemical Properties and Composition on Their Interaction with the Immune System
by Laura Catenacci, Rachele Rossi, Francesca Sechi, Daniela Buonocore, Milena Sorrenti, Sara Perteghella, Marco Peviani and Maria Cristina Bonferoni
Pharmaceutics 2024, 16(12), 1521; https://doi.org/10.3390/pharmaceutics16121521 - 26 Nov 2024
Viewed by 2683
Abstract
Lipid nanoparticles (LNPs) have shown promise as a delivery system for nucleic acid-based therapeutics, including DNA, siRNA, and mRNA vaccines. The immune system plays a critical role in the response to these nanocarriers, with innate immune cells initiating an early response and adaptive [...] Read more.
Lipid nanoparticles (LNPs) have shown promise as a delivery system for nucleic acid-based therapeutics, including DNA, siRNA, and mRNA vaccines. The immune system plays a critical role in the response to these nanocarriers, with innate immune cells initiating an early response and adaptive immune cells mediating a more specific reaction, sometimes leading to potential adverse effects. Recent studies have shown that the innate immune response to LNPs is mediated by Toll-like receptors (TLRs) and other pattern recognition receptors (PRRs), which recognize the lipid components of the nanoparticles. This recognition can trigger the activation of inflammatory pathways and the production of cytokines and chemokines, leading to potential adverse effects such as fever, inflammation, and pain at the injection site. On the other hand, the adaptive immune response to LNPs appears to be primarily directed against the protein encoded by the mRNA cargo, with little evidence of an ongoing adaptive immune response to the components of the LNP itself. Understanding the relationship between LNPs and the immune system is critical for the development of safe and effective nucleic acid-based delivery systems. In fact, targeting the immune system is essential to develop effective vaccines, as well as therapies against cancer or infections. There is a lack of research in the literature that has systematically studied the factors that influence the interaction between LNPs and the immune system and further research is needed to better elucidate the mechanisms underlying the immune response to LNPs. In this review, we discuss LNPs’ composition, physico-chemical properties, such as size, shape, and surface charge, and the protein corona formation which can affect the reactivity of the immune system, thus providing a guide for the research on new formulations that could gain a favorable efficacy/safety profile. Full article
(This article belongs to the Special Issue Advances in Nanotechnology-Based Drug Delivery Systems)
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<p>Even slight modifications can change the properties of an LNP. (<b>A</b>) By modifying the molar ratio of PEG or the preparation parameters, it is possible to change the LNP size. (<b>B</b>) The surface charge of the LNP can be modified by replacing or adding phospholipids to a charged lipid. (<b>C</b>) Different PEG–lipid conjugates can be obtained, such as modifying the PEG molecular weight, to influence LNP size, zeta potential, and stability. (<b>D</b>) Adjuvants can be added to the formulation to enhance the immune reaction for LNP-based mRNA vaccines. (<b>E</b>) There are several methods for administering LNPs, including intravenous (IV), intramuscular (IM), intradermal (ID), subcutaneous (SC), and intranasal (IN). An appropriate route of administration must be determined based on an understanding of the anatomy of the inoculation site and the induced immune action. Reprinted with permission from [<a href="#B4-pharmaceutics-16-01521" class="html-bibr">4</a>].</p>
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<p>Cryo-TEM image of LNP prepared in the presence of siRNA: LNPs exhibit stacked bilayer structure (<b>left</b>); representative image of LNP structure (<b>right</b>). Reprinted with permission from [<a href="#B21-pharmaceutics-16-01521" class="html-bibr">21</a>]. Copyright 2018 American Chemical Society.</p>
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<p>Schematic illustration of biological properties affected by the LNP physico-chemical properties.</p>
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<p>Illustration of LNPs structure and components. Reprinted with permission [<a href="#B24-pharmaceutics-16-01521" class="html-bibr">24</a>].</p>
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<p>Schematic representation of cationic and ionizable lipids and their components (headgroup, linker, and tail). Reprinted with permission from [<a href="#B30-pharmaceutics-16-01521" class="html-bibr">30</a>]. Copyright 2022 American Chemical Society.</p>
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<p>The illustration underscores the primary challenges and drawbacks associated with LNP vaccines. One significant opportunity lies in the ability to modify the protein corona composition, which can help mitigate off-target accumulation and enhance the interaction of LNPs with antigen-presenting cells and dendritic cells. This, in turn, has the potential to significantly improve vaccine efficacy. Reprinted with permission [<a href="#B38-pharmaceutics-16-01521" class="html-bibr">38</a>].</p>
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