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Search Results (241)

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36 pages, 4005 KiB  
Review
Polyphenols: From Classification to Therapeutic Potential and Bioavailability
by Daria Ciupei, Alexandru Colişar, Loredana Leopold, Andreea Stănilă and Zorița M. Diaconeasa
Foods 2024, 13(24), 4131; https://doi.org/10.3390/foods13244131 - 20 Dec 2024
Viewed by 413
Abstract
Though ubiquitous in nature, polyphenols gained scientific prominence only after the pioneering work of researchers like E. Fischer and K. Freudenberg, who demonstrated their potential beyond traditional applications, such as in the leather industry. Today, these bioactive compounds are recognized for their diverse [...] Read more.
Though ubiquitous in nature, polyphenols gained scientific prominence only after the pioneering work of researchers like E. Fischer and K. Freudenberg, who demonstrated their potential beyond traditional applications, such as in the leather industry. Today, these bioactive compounds are recognized for their diverse therapeutic roles, including their use as adjuvants in cancer treatment, cancer prevention, and their anti-inflammatory and antioxidant properties. Additionally, polyphenols have demonstrated benefits in managing obesity, cardiovascular diseases, and neuromodulation. Their synthesis is influenced by environmental and genetic factors, with their concentrations varying based on the intensity of these variables, as well as the stage of ripening. This review provides a comprehensive overview of polyphenols, covering their classification, chemical structures, and bioavailability. The mechanisms influencing bioavailability, bioaccessibility, and bioactivity are explored in detail, alongside an introduction to their bioactive effects and associated metabolic pathways. Specific examples, such as the bioavailability of polyphenols in coffee and various types of onions, are analyzed. Despite their promising biological activities, a significant limitation of polyphenols lies in their inherently low oral bioavailability. However, their systemic circulation and the bioactive by-products formed during digestion present exciting opportunities for further research and application. Full article
(This article belongs to the Special Issue Dietary Polyphenols in Foods)
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Figure 1
<p>Polyphenol structures and representatives, along with some illustrations on where they could be found in plant-derived foods.</p>
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<p>Chlorogenic acid and its isomers.</p>
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<p>Quercetin according to IUPAC.</p>
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<p>Structure of stilbenes.</p>
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<p>Structure of lignans.</p>
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<p>Bioavailability and term appliance.</p>
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<p>Representation of the general absorption of polyphenols.</p>
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<p>Representation of the circuit of CGAs in the GI tract. (SP—Stomach phase; IP—Intestinal phase; CP—Colonic phase).</p>
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<p>Representation of quercetin absorption.</p>
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23 pages, 512 KiB  
Review
Anesthetic- and Analgesic-Related Drugs Modulating Both Voltage-Gated Na+ and TRP Channels
by Eiichi Kumamoto
Biomolecules 2024, 14(12), 1619; https://doi.org/10.3390/biom14121619 - 18 Dec 2024
Viewed by 303
Abstract
Nociceptive information is transmitted by action potentials (APs) through primary afferent neurons from the periphery to the central nervous system. Voltage-gated Na+ channels are involved in this AP production, while transient receptor potential (TRP) channels, which are non-selective cation channels, are involved [...] Read more.
Nociceptive information is transmitted by action potentials (APs) through primary afferent neurons from the periphery to the central nervous system. Voltage-gated Na+ channels are involved in this AP production, while transient receptor potential (TRP) channels, which are non-selective cation channels, are involved in receiving and transmitting nociceptive stimuli in the peripheral and central terminals of the primary afferent neurons. Peripheral terminal TRP vanilloid-1 (TRPV1), ankylin-1 (TRPA1) and melastatin-8 (TRPM8) activation produces APs, while central terminal TRP activation enhances the spontaneous release of L-glutamate from the terminal to spinal cord and brain stem lamina II neurons that play a pivotal role in modulating nociceptive transmission. There is much evidence demonstrating that chemical compounds involved in Na+ channel (or nerve AP conduction) inhibition modify TRP channel functions. Among these compounds are local anesthetics, anti-epileptics, α2-adrenoceptor agonists, antidepressants (all of which are used as analgesic adjuvants), general anesthetics, opioids, non-steroidal anti-inflammatory drugs and plant-derived compounds, many of which are involved in antinociception. This review mentions the modulation of Na+ channels and TRP channels including TRPV1, TRPA1 and TRPM8, both of which modulations are produced by pain-related compounds. Full article
21 pages, 4072 KiB  
Article
Effect of Adjuvants on Physical–Chemical Properties, Droplet Size, and Drift Reduction Potential
by Sérgio Basílio, Marconi Ribeiro Furtado Júnior, Cleyton Batista de Alvarenga, Edney Leandro da Vitória, Beatriz Costalonga Vargas, Salvatore Privitera, Luciano Caruso, Emanuele Cerruto and Giuseppe Manetto
Agriculture 2024, 14(12), 2271; https://doi.org/10.3390/agriculture14122271 - 11 Dec 2024
Viewed by 472
Abstract
Adjuvants alter the physical–chemical properties of pesticide formulations, influencing either the droplet size or drift phenomenon. Selecting the appropriate adjuvant and understanding its characteristics can contribute to the efficiency of Plant Protection Product (PPP) application. This reduces drift losses and promotes better deposition [...] Read more.
Adjuvants alter the physical–chemical properties of pesticide formulations, influencing either the droplet size or drift phenomenon. Selecting the appropriate adjuvant and understanding its characteristics can contribute to the efficiency of Plant Protection Product (PPP) application. This reduces drift losses and promotes better deposition on the crop. The objective of this study was to evaluate the effects of four commercial adjuvants based on mineral oil (Agefix and Assist), vegetable oil (Aureo), and polymer (BREAK-THRU) on the physical–chemical properties (surface tension, contact angle, volumetric mass, electrical conductivity, and pH), droplet size, and drift, using pure water as the control treatment (no adjuvant). Surface tension and contact angle were measured with a DSA30 droplet shape analyzer, while droplet size measurements were determined through a laser diffraction particle analyzer (Malvern Spraytec), using a single flat fan spray nozzle (AXI 110 03) operating at 0.3 MPa. Drift reduction potential was evaluated inside a wind tunnel with an air speed of 2 m s−1. All adjuvants reduced surface tension and contact angle compared to water. volumetric median diameter (VMD) increased for Aureo, Assist, and Agefix, generating coarse, medium, and medium droplets, respectively, while BREAK-THRU formed fine droplets, similar to those generated by water. Aureo had the greatest reduction in Relative Span Factor (RSF), with a reduction of 30.3%. Overall, Aureo, Assist, and Agefix adjuvants significantly reduced the percentage of droplets <100 µm and increased those >500 µm. Drift reduction potential was achieved for all adjuvants, with Aureo showing the highest reduction of 59.35%. The study confirms that selecting the appropriate adjuvant can improve PPP application and promote environmental sustainability in agricultural practices. Full article
(This article belongs to the Special Issue Pesticides in the Environment: Impacts and Challenges in Agriculture)
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Figure 1
<p>Main instruments used during the first stage of experiments to measure the physical–chemical properties.</p>
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<p>General overview of the laser diffraction equipment (Malvern Spraytec).</p>
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<p>General schematic view of the wind tunnel and arrangement of the collectors for ground measurement tests.</p>
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<p>Effects of the four adjuvant solutions, including the control treatment (water), used for measuring volumetric mass (<b>A</b>), electrical conductivity (<b>B</b>), pH (<b>C</b>), surface tension (<b>D</b>), and contact angle (<b>D</b>). Means sharing the same letters do not differ statistically at <span class="html-italic">p</span>-level = 0.05 using Tukey’s test; * represents statistically significant differences with respect to water using Dunnet’s test at <span class="html-italic">p</span>-level = 0.05; ns indicates no significant difference with respect to water. Errors bars represent standard deviations.</p>
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<p>Effects of the four adjuvant solutions, including the control treatment (water), used for measuring volumetric diameters <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>D</mi> </mrow> <mrow> <mi>v</mi> <mn>0.1</mn> </mrow> </msub> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>D</mi> </mrow> <mrow> <mi>v</mi> <mn>0.5</mn> </mrow> </msub> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>D</mi> </mrow> <mrow> <mi>v</mi> <mn>0.9</mn> </mrow> </msub> </mrow> </semantics></math> (<b>A</b>) and Relative Span Factor (<math display="inline"><semantics> <mrow> <mi>R</mi> <mi>S</mi> <mi>F</mi> </mrow> </semantics></math>) values (<b>B</b>). Means sharing the same letters for each volumetric diameter do not differ statistically at <span class="html-italic">p</span>-level = 0.05 using Tukey’s test; * represents statistically significant differences with respect to water using Dunnet’s test at <span class="html-italic">p</span>-level = 0.05; ns indicates no significant difference with respect to water. Errors bars represent standard deviations.</p>
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<p>Cumulative volume curves as a function of adjuvants and water.</p>
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<p>Percentages of the total volume of droplets with a diameter smaller than 100 μm (V &lt; 100) and greater than 500 μm (V &gt; 500) across the studied solutions. Means sharing the same letter do not differ statistically from each other at <span class="html-italic">p</span>-level = 0.05 using Tukey’s test; * represents statistically significant differences with respect to water using Dunnet’s test at <span class="html-italic">p</span>-level = 0.05; ns indicates no significant difference with respect to water. Errors bars represent standard deviations.</p>
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<p>(<b>A</b>) Adjuvant drift and (<b>B</b>) drift potential reduction. * Represents statistically significant differences with respect to water using Dunnet’s test at <span class="html-italic">p</span>-level = 0.05.</p>
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16 pages, 2378 KiB  
Article
Adjuvants for Drone-Based Aerial Chemical Applications to Mitigate Off-Target Drift
by Narayanan Kannan, Daniel Martin, Rajani Srinivasan and Weiqiang Zhang
Drones 2024, 8(11), 667; https://doi.org/10.3390/drones8110667 - 11 Nov 2024
Viewed by 896
Abstract
Off-target drift from aerial pesticide applications in croplands can be a major source of pesticide exposure to pollinators. Pesticide adjuvants (PAs) are added to pesticides but can be as toxic as pesticides’ active ingredients. Ongoing experiments have identified sodium alginate (SA) as a [...] Read more.
Off-target drift from aerial pesticide applications in croplands can be a major source of pesticide exposure to pollinators. Pesticide adjuvants (PAs) are added to pesticides but can be as toxic as pesticides’ active ingredients. Ongoing experiments have identified sodium alginate (SA) as a drift-reducing PA less toxic to honeybees. Hence, SA and fenugreek polymer (FP) have been tested as drift-reducing PAs for aerial applications using the Remotely Piloted Aerial Application System (RPAAS). Two spray experiments were carried out in the field: (i) water only (W) and (ii) water and adjuvant (WA). Droplet spectrum and on-target coverage were collected using a VisiSize P15 image analyzer and kromekote cards, respectively. The drift reduction potentials (DRPs) of the adjuvants were analyzed based on droplet size (diameters of 10%, 50%, and 90% volume) and the proportion of driftable volume with droplets < 200 µm. Compared to the W only, the W-A treatment produced larger droplets, suggesting the presence of DRP. There were 14.5%, 8.3% to 14.4%, and 2.3% to 7.7% driftable fines in the W, WA (SA), and WA (FP) treatments, respectively. The FP treatment improved the on-target coverage (3.0% to 3.1%) compared to water (2.7%). Our results indicate that SA and FP have the potential to mitigate off-target drift and protect pollinator health. Full article
(This article belongs to the Section Drones in Agriculture and Forestry)
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<p>Experimental setup for drone-based aerial pesticide application and testing spray drift.</p>
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<p>Changes in weather parameters during the experiment: (<b>a</b>) wind speed, (<b>b</b>) air temperature, and (<b>c</b>) relative humidity. (Data sources: (<b>a</b>,<b>b</b>), Delta T weather station; (<b>c</b>), mesonet). Note: the X axis indicates the time during which the experiments were conducted.</p>
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<p>Droplet spectrum of spray solutions with and without adjuvants: (<b>a</b>) sodium alginate; (<b>b</b>) fenugreek polymer.</p>
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<p>Results of droplet spray coverage of (<b>a</b>) sodium alginate (SA) and (<b>b</b>) fenugreek polymer (FP).</p>
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<p>Relationship between droplet spectrum parameters measured by VisiSize P15 and estimated by droplet stains deposited on Kromekote cards (<b>a</b>) DV<sub>0.1</sub> (<b>b</b>) DV<sub>0.5</sub> and (<b>c</b>) DV<sub>0.9</sub>.</p>
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18 pages, 864 KiB  
Review
Basic Properties and Development Status of Aluminum Adjuvants Used for Vaccines
by Jingyang Lan, Disong Feng, Xueshan He, Qianru Zhang and Rong Zhang
Vaccines 2024, 12(10), 1187; https://doi.org/10.3390/vaccines12101187 - 18 Oct 2024
Viewed by 2174
Abstract
Background: Aluminum adjuvants, renowned for their safety and efficacy, act as excellent adsorbents and vaccine immunogen enhancers, significantly contributing to innate, endogenous, and humoral immunity. An ideal adjuvant not only boosts the immune response but also ensures optimal protective immunity. Aluminum adjuvants are [...] Read more.
Background: Aluminum adjuvants, renowned for their safety and efficacy, act as excellent adsorbents and vaccine immunogen enhancers, significantly contributing to innate, endogenous, and humoral immunity. An ideal adjuvant not only boosts the immune response but also ensures optimal protective immunity. Aluminum adjuvants are the most widely used vaccine adjuvants and have played a crucial role in both the prevention of existing diseases and the development of new vaccines. With the increasing emergence of new vaccines, traditional immune adjuvants are continually being researched and upgraded. The future of vaccine development lies in the exploration and integration of novel adjuvant technologies that surpass the capabilities of traditional aluminum adjuvants. One promising direction is the incorporation of nanoparticles, which offer precise delivery and controlled release of antigens, thereby enhancing the overall immune response. Conclusions: This review summarizes the types, mechanisms, manufacturers, patents, advantages, disadvantages, and future prospects of aluminum adjuvants. Although aluminum adjuvants have certain limitations, their contribution to enhancing vaccine immunity is significant and cannot be ignored. Future research should continue to explore their mechanisms of action and address potential adverse reactions to achieve improved vaccine efficacy. Full article
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<p>AH and AP molecules. On the <b>left</b>, a depiction of the two variants of AH, and on the <b>right</b>, the varying levels of phosphate group substitution in the AP molecule.</p>
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<p>Several mechanisms of action of adjuvants: (1) depot effect; (2) PRR activation; (3) NLRP3 inflammasome activation; (4) immune cell presentation.</p>
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28 pages, 1603 KiB  
Review
Alternative Cancer Therapeutics: Unpatentable Compounds and Their Potential in Oncology
by Dmitriy Ovcharenko, Dmitry Mukhin and Galina Ovcharenko
Pharmaceutics 2024, 16(9), 1237; https://doi.org/10.3390/pharmaceutics16091237 - 23 Sep 2024
Viewed by 1848
Abstract
Cancer remains a leading cause of death globally. Cancer patients often seek alternative therapies in addition to, or instead of, conventional treatments like chemotherapy, radiation, and surgery. The progress in medical advancements and early detection provides more treatment options; however, the development of [...] Read more.
Cancer remains a leading cause of death globally. Cancer patients often seek alternative therapies in addition to, or instead of, conventional treatments like chemotherapy, radiation, and surgery. The progress in medical advancements and early detection provides more treatment options; however, the development of cancer drugs requires a significant amount of time, demands substantial investments, and results in an overall low percent of regulatory approval. The complex relationship between patent protection and pharmaceutical innovation complicates cancer drug development and contributes to high mortality rates. Adjusting patent criteria for alternative cancer therapeutics could stimulate innovation, enhance treatment options, and ultimately improve outcomes for cancer patients. This article explores the potential of alternative cancer therapeutics, chemopreventive agents, natural products, off-patent drugs, generic unpatentable chemicals, and repurposed drugs in cancer treatment, emphasizing the mechanisms and therapeutic potential of these unconventional compounds as combinatorial cancer therapies. The biological pathways, therapeutic effects, and potential to enhance existing therapies are reviewed, demonstrating their cost-effective and accessible options as adjuvant cancer therapies. Full article
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<p>Main steps in cancer drug discovery and development process. Types of experimental activity, regulatory steps, and associated timeline estimates are schematically represented.</p>
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<p>Anticancer mechanism of action of selected adjuvant chemotherapy compounds.</p>
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12 pages, 3403 KiB  
Article
L-Cysteine Upregulates Testosterone Biosynthesis and Blood–Testis Barrier Genes in Cultured Human Leydig Cells and THP-1 Monocytes and Increases Testosterone Secretion in Human Leydig Cells
by Jeffrey Justin Margret and Sushil K. Jain
Biomolecules 2024, 14(9), 1171; https://doi.org/10.3390/biom14091171 - 18 Sep 2024
Cited by 1 | Viewed by 846
Abstract
Leydig cells are the primary source of testosterone or androgen production in male mammals. The blood–testis barrier (BTB) maintains structural integrity and safeguards germ cells from harmful substances by blocking their entry into the seminiferous tubules. L-cysteine is essential to the production of [...] Read more.
Leydig cells are the primary source of testosterone or androgen production in male mammals. The blood–testis barrier (BTB) maintains structural integrity and safeguards germ cells from harmful substances by blocking their entry into the seminiferous tubules. L-cysteine is essential to the production of glutathione, a powerful antioxidant crucial to protecting against oxidative stress-induced damage. Animal studies have demonstrated the protective effect of L-cysteine in preventing testicular damage caused by chemicals or radiation. This study examines whether L-cysteine enhances the expression of testosterone biosynthesis and the BTB genes in human Leydig cells and THP-1 monocytes. The Leydig cells and THP-1 monocytes were treated with L-cysteine for 24 h. RNA was extracted following treatment, and the gene expression was analyzed using quantitative RT-PCR. Testosterone levels in the cell supernatant were measured using an ELISA kit. L-cysteine treatment in Leydig cells significantly upregulated the expression of CYP11A1 (p = 0.03) and the BTB genes CLDN1 (p = 0.03), CLDN11 (p = 0.02), and TJP1 (p = 0.02). Similarly, L-cysteine significantly upregulated the expression of CYP11A1 (p = 0.03) and CYP19A1 (p < 0.01), and the BTB genes CLDN1 (p = 0.04), CLDN2 (p < 0.01), CLDN4 (p < 0.01), CLDN11 (p < 0.01), and TJP1 (p = 0.03) in THP-1 monocytes. Further, L-cysteine supplementation increased the testosterone secretion levels in human Leydig cells. The findings suggest that L-cysteine supplementation could be used as an adjuvant therapy to promote the integrity of the BTB genes, testosterone biosynthesis and secretion, and the maintenance of testicular functions, which in turn mitigates the risk of male infertility. Full article
(This article belongs to the Section Molecular Reproduction)
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<p>(<b>a</b>) Testosterone and (<b>b</b>) BTB relative gene expression after human Leydig cells were treated with 500 μM of L-cysteine. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>(<b>a</b>) Testosterone and (<b>b</b>) BTB relative gene expression after THP-1 monocytes were treated with different concentrations of L-cysteine (500–1000 μM). * <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.</p>
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<p>Comparison of (<b>a</b>) testosterone regulatory and (<b>b</b>) BTB relative gene expression among human Leydig cells and THP-1 after treatment with L-cysteine (500 μM). * <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.</p>
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<p>Testosterone concentration in the cell culture supernatant after L-cysteine treatment in human Leydig cells and THP-1 monocytes. ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Summary diagram illustrating that L-cysteine supplementation increased the gene expression of testosterone biosynthesis and BTB genes and enhanced testosterone secretion.</p>
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30 pages, 9406 KiB  
Article
Potential Use and Chemical Analysis of Some Natural Plant Extracts for Controlling Listeria spp. Growth In Vitro and in Food
by Abdul-Raouf Al-Mohammadi, Seham Abdel-Shafi, Ahmed H. Moustafa, Nehal Fouad, Gamal Enan and Rehab A. Ibrahim
Foods 2024, 13(18), 2915; https://doi.org/10.3390/foods13182915 - 14 Sep 2024
Viewed by 1209
Abstract
Listeria are Gram-negative intracellular foodborne pathogens that can cause invasive infections with high mortality rates. In this work, the antibacterial activity of ten essential oils, infusion extracts, and decoction extracts of some medicinal plants was tested against Listeria monocytogenes and listeria ivanovii strains. [...] Read more.
Listeria are Gram-negative intracellular foodborne pathogens that can cause invasive infections with high mortality rates. In this work, the antibacterial activity of ten essential oils, infusion extracts, and decoction extracts of some medicinal plants was tested against Listeria monocytogenes and listeria ivanovii strains. The effects of different physical conditions including temperature, pH, sodium chloride, and some organic acids were studied. The results showed that the water extracts gave the maximum bacterial inhibition, while ethanolic extract was inactive against the tested Listeria spp. The antibiotic sensitivity of L. monocytogenes LMG10470 and L. ivanovii LMZ11352 was tested against five antibiotics including imipenem, levofloxacin, amikacin, ampicillin, and amoxicillin. Imipenem was the most effective antibiotic, resulting in inhibition zones of 40 mm and 31 mm for L. monocytogenes and L. ivanovii, respectively. When imipenem mixed with Syzygium aromaticum oil, Salvia officinalis oil, Pimpinella anisum infusion, and Mentha piperita infusion each, the water extract of Moringa oleifera leaves and seeds against LMG10470 and LMZ11352 resulted in broader antibacterial activity. The antimicrobial activity of both Pimpinella anisum and Mentha piperita plant extracts is related to a variety of bioactive compounds indicated by gas chromatography–mass spectrometry analysis of these two plant extracts. These two plant extracts seemed to contain many chemical compounds elucidated by gas chromatography–mass spectrometry (GC-MS) and infrared radiation spectra. These compounds could be classified into different chemical groups such as ethers, heterocyclic compounds, aromatic aldehydes, condensed heterocyclic compounds, ketones, alicyclic compounds, aromatics, esters, herbicides, saturated fatty acids, and unsaturated fatty acids. The use of these natural compounds seems to be a useful technological adjuvant for the control of Listeria spp. in foods. Full article
(This article belongs to the Special Issue Detection and Control of Food-Borne Pathogens)
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<p>Thermal death point of <span class="html-italic">L. monocytogenes</span> LMG10470 and <span class="html-italic">L. ivanovii</span> LMZ11352 after 15 min of exposure to different temperatures different temperature exposure.</p>
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<p>Effect of different pH values on <span class="html-italic">L. monocytogenes</span> LMG10470 and <span class="html-italic">L. ivanovii</span> LMZ11352 growth.</p>
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<p>Effect of different NaCl concentrations on <span class="html-italic">L. monocytogenes</span> LMG10470 and <span class="html-italic">L. ivanovii</span> LMZ11352 growth.</p>
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<p>Effect of citric acid concentration on <span class="html-italic">L. monocytogenes</span> LMG10470 and <span class="html-italic">L. ivanovii</span> LMZ11352 growth.</p>
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<p>Effect of oxalic acid concentrations on <span class="html-italic">L. monocytogenes</span> LMG10470 and <span class="html-italic">L. ivanovii</span> LMZ11352 growth.</p>
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<p>Effect of salicylic acid concentrations on <span class="html-italic">L. monocytogenes</span> LMG10470 and <span class="html-italic">L. ivanovii</span> LMZ11352 growth.</p>
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<p>Antibacterial activity of different concentrations of infusion extracts of <span class="html-italic">Mentha piperita</span> and <span class="html-italic">Pimpinella anisum</span> against <span class="html-italic">L. monocytogenes</span> LMG10470 and <span class="html-italic">L. ivanovii</span> LMZ11352 by the disc assay method. The numbers 1, 2, 3, 4, and 5 show inhibition zone diameters of 10%, 25%, 50%, 75%, and 100%.</p>
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<p>Growth curves of (<b>A</b>) Pimpinella anisum, (<b>B</b>) Mentha piperita, (<b>C</b>) Zingiber officinalis, (<b>D</b>) Rosemarinus officinalis, (<b>E</b>) Salvia officinalis, and (<b>F</b>) Martricaria chamomilla against L. monocytogenes LMG10470 in nutrient broth incubated at 37 °C for 24 h.</p>
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<p>Growth curves of (<b>A</b>) Pimpinella anisum, (<b>B</b>) Mentha piperita, (<b>C</b>) Zingiber officinalis, (<b>D</b>) Rosemarinus officinalis, (<b>E</b>) Salvia officinalis, and (<b>F</b>) Martricaria chamomilla against L. monocytogenes LMG10470 in nutrient broth incubated at 37 °C for 24 h.</p>
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<p>Growth curves of (<b>A</b>) <span class="html-italic">Pimpinella anisum</span>, (<b>B</b>) <span class="html-italic">Mentha piperita</span>, (<b>C</b>) <span class="html-italic">Zingiber officinalis</span>, (<b>D</b>) <span class="html-italic">Rosemarinus officinalis</span>, (<b>E</b>) <span class="html-italic">Salvia officinalis</span>, and (<b>F</b>) <span class="html-italic">Martricaria chamomilla</span> against <span class="html-italic">L. ivanovii</span> LMZ11352 in nutrient broth incubated at 37 °C for 24 h.</p>
Full article ">Figure 9 Cont.
<p>Growth curves of (<b>A</b>) <span class="html-italic">Pimpinella anisum</span>, (<b>B</b>) <span class="html-italic">Mentha piperita</span>, (<b>C</b>) <span class="html-italic">Zingiber officinalis</span>, (<b>D</b>) <span class="html-italic">Rosemarinus officinalis</span>, (<b>E</b>) <span class="html-italic">Salvia officinalis</span>, and (<b>F</b>) <span class="html-italic">Martricaria chamomilla</span> against <span class="html-italic">L. ivanovii</span> LMZ11352 in nutrient broth incubated at 37 °C for 24 h.</p>
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<p>Quantitative inhibition of decoction extract of the test medicinal plants against <span class="html-italic">L. monocytogenes</span> LMG10470. (<b>A</b>) <span class="html-italic">Pimpinella anisum</span>, (<b>B</b>) <span class="html-italic">Rosemarinus officinalis</span>, (<b>C</b>) <span class="html-italic">Cinnamum zeylanieum</span>, and (<b>D</b>) <span class="html-italic">Syzygium aromaticum</span>.</p>
Full article ">Figure 10 Cont.
<p>Quantitative inhibition of decoction extract of the test medicinal plants against <span class="html-italic">L. monocytogenes</span> LMG10470. (<b>A</b>) <span class="html-italic">Pimpinella anisum</span>, (<b>B</b>) <span class="html-italic">Rosemarinus officinalis</span>, (<b>C</b>) <span class="html-italic">Cinnamum zeylanieum</span>, and (<b>D</b>) <span class="html-italic">Syzygium aromaticum</span>.</p>
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<p>Quantitative inhibition of decoction extract of test medicinal plants against <span class="html-italic">L. ivanovii</span> LMZ11352. (<b>A</b>) <span class="html-italic">Pimpinella anisum</span>, (<b>B</b>) <span class="html-italic">Rosemarinus officinalis</span>, (<b>C</b>) <span class="html-italic">Cinnamum zeylanieum</span>, and (<b>D</b>) <span class="html-italic">Syzygium aromaticum</span>.</p>
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<p>Antibacterial activity of <span class="html-italic">Moringa oleifera</span> extracts (leaves) against <span class="html-italic">L. monocytogenes</span> LMG10470 and <span class="html-italic">L. ivanovii</span> LMZ11352 using disc assay and agar well diffusion methods. WE: water extract of leaves. ME: methanol extract of leaves.</p>
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<p>Antibacterial activity of <span class="html-italic">Moringa oleifera</span> extracts (Seeds) against <span class="html-italic">L. monocytogenes</span> LMG10470 and <span class="html-italic">L. ivanovii</span> LMZ11352 using disc assay and agar well diffusion methods. WE: water extract of seeds. ME: methanol extract of seeds.</p>
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<p>Antibacterial activity of mixed combinations of natural extracts and an antibiotic (imipenem) against <span class="html-italic">L. monocytogenes</span> by the disc assay method. (<b>A</b>) imipenem against <span class="html-italic">L. monocytogenes</span>. (<b>B</b>) (imipenem–natural extract) mixture combination against <span class="html-italic">L. monocytogenes</span>. (<b>C</b>) natural extract against <span class="html-italic">L. monocytogenes</span>.</p>
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<p>Antibacterial activity of mixed combinations of natural extracts and an antibiotic (imipenem) against <span class="html-italic">L. monocytogenes</span> by the disc assay method. (<b>A</b>) imipenem against <span class="html-italic">L. monocytogenes</span>. (<b>B</b>) (imipenem–natural extract) mixture combination against <span class="html-italic">L. monocytogenes</span>. (<b>C</b>) natural extract against <span class="html-italic">L. monocytogenes</span>.</p>
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<p>Antibacterial activity of mixed combinations of natural extracts and an antibiotic (imipenem) against <span class="html-italic">L. ivanovii</span> by the disc assay method. (<b>A</b>): imipenem against <span class="html-italic">L. ivanovii</span>. (<b>B</b>): (imipenem—natural extract) mixture combination against <span class="html-italic">L. ivanovii.</span> (<b>C</b>): natural extract against <span class="html-italic">L. ivanovii</span>.</p>
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<p>Antibacterial activity of mixed combinations of natural extracts and an antibiotic (imipenem) against <span class="html-italic">L. ivanovii</span> by the disc assay method. (<b>A</b>): imipenem against <span class="html-italic">L. ivanovii</span>. (<b>B</b>): (imipenem—natural extract) mixture combination against <span class="html-italic">L. ivanovii.</span> (<b>C</b>): natural extract against <span class="html-italic">L. ivanovii</span>.</p>
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<p>IR spectrum of <span class="html-italic">Pimpinella anisum.</span> Growth of <span class="html-italic">L. monocytogenes</span> LMG10470 (CFU/mL) in the presence of <span class="html-italic">L. delbreukii</span> subsp. <span class="html-italic">bulgaricus</span> Z55, <span class="html-italic">E. faecium</span> NM2, and <span class="html-italic">L. plantarum</span> LPS10 in vitro.</p>
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<p>IR spectrum of <span class="html-italic">Mentha pipertia</span>.</p>
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13 pages, 2384 KiB  
Article
Potential of Enzymatically Synthesized Hemozoin Analog as Th1 Cell Adjuvant
by Kazuaki Hoshi, Anh Thi Tram Tu, Miwako Shobo, Karin Kettisen, Lei Ye, Leif Bülow, Yoji Hakamata, Tetsuya Furuya, Ryutaro Asano, Wakako Tsugawa, Kazunori Ikebukuro, Koji Sode and Tomohiko Yamazaki
Nanomaterials 2024, 14(17), 1440; https://doi.org/10.3390/nano14171440 - 3 Sep 2024
Viewed by 1177
Abstract
Hemozoin (Hz) is a heme crystal produced during malaria infection that stimulates immune cells, leading to the production of cytokines and chemokines. The immunostimulatory action of Hz has previously been applied in the development of alternative adjuvants. Crystallization of hemin is a chemical [...] Read more.
Hemozoin (Hz) is a heme crystal produced during malaria infection that stimulates immune cells, leading to the production of cytokines and chemokines. The immunostimulatory action of Hz has previously been applied in the development of alternative adjuvants. Crystallization of hemin is a chemical approach for producing Hz. Here, we focused on an enzymatic production method for Hz using the heme detoxification protein (HDP), which catalyzes heme dimer formation from hemin in Plasmodium. We examined the immunostimulatory effects of an enzymatically synthesized analog of Hz (esHz) produced by recombinant Plasmodium falciparum HDP. Enzymatically synthesized Hz stimulates a macrophage cell line and human peripheral mononuclear cells, leading to the production of interleukin (IL)-6 and IL-12p40. In mice, subcutaneous administration of esHz together with an antigen, ovalbumin (OVA), increased the OVA-specific immunoglobulin (Ig) G2c isotype level in the serum, whereas OVA-specific IgG1 was not induced. Our findings suggest that esHz is a useful Th-1 cell adjuvant. Full article
(This article belongs to the Section Biology and Medicines)
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<p>Expression and purification of PfHDP in <span class="html-italic">E. coli</span>. (<b>A</b>) Schematic diagram of PfHDP expression in <span class="html-italic">E. coli</span> and purification by chromatography. The BL21 cells co-transfected with pCold IV-PfHDP and pG-TF were grown in the medium either without (-) or with (+) the addition of tetracycline, followed by protein induction by cold shock expression. The expression levels of PfHDP in either the soluble (S) or insoluble (P) fraction were analyzed by (<b>B</b>) SDS-PAGE and (<b>C</b>) Western blotting analysis. Lane M, protein molecular weight marker. (<b>D</b>) The purity of PfHDP in the fractions eluted by Ni-NTA and anion exchange chromatography was estimated by SDS-PAGE. Lane M, protein molecular weight marker; Lane 1, soluble fractions of the lysate; Lane 2, samples eluted from HisTrap<sup>TM</sup> Ni-NTA column; Lane 3, samples eluted from HiTrap<sup>TM</sup> Q HP anion-exchange column.</p>
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<p>Qualification of an enzymatically synthesized analog of hemozoin (esHz) produced by recombinant PfHDP. (<b>A</b>) An overview of the formation of esHz from hemin by PfHDP and purification step. (<b>B</b>) The quality of esHz was estimated by measuring IR spectra. (<b>C</b>) The amount of converted hemin by PfHDP was calculated by monitoring the absorbance at 385 nm [<a href="#B4-nanomaterials-14-01440" class="html-bibr">4</a>]. The Hz formation assay was repeated three times. Data are expressed as the mean ± standard deviation (<span class="html-italic">n</span> = 3). (<b>D</b>) Particle size distribution of esHz measured by dynamic light scattering analysis. (<b>E</b>) Scanning electron microscopy (SEM) image of esHz. Scale bars, 500 nm.</p>
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<p>Cytokine induction by an enzymatically synthesized analog of hemozoin (esHz) from RAW264 murine macrophage cells and human peripheral blood mononuclear cells (PBMCs). (<b>A</b>) The induction of cytokines from RAW264 was evaluated using real-time reverse transcriptase-quantitative PCR (RT-qPCR) analysis. The Raw264 cells were incubated with esHz (50 µg/mL), chemically synthesized analog of Hz (csHz) (50 µg/mL), and with phosphorothioate-modified CpG ODNs, K3 and 2006 (1 µM) for 24 h. Data are expressed as the mean ± standard deviation (SD) (<span class="html-italic">n</span> = 5). The relative mRNA level compared to the control was calculated. (<b>B</b>) Immunostimulatory cytokine productions from human PBMC were evaluated using an enzyme-linked immunosorbent assay. Human PBMCs were stimulated with esHz (50 µg/mL), csHz (50 µg/mL), and phosphorothioate-modified CpG ODN (1 µM) for 48 h. Data are expressed as the mean ± SD (<span class="html-italic">n</span> = 5).</p>
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<p>In vivo cytokine inductions in mouse serum by enzymatically synthesized analog of hemozoin (esHz). Interleukin (IL)-6 (<b>A</b>) and IL-12p40 (<b>B</b>) concentrations in mouse serum after intraperitoneal injection of esHz or alum. Mice received an injection of materials at a dose of 500 μg/mouse, and blood was collected at 4 h after the injection. Serum concentrations of IL-6 and IL-12p40 were measured using enzyme-linked immunosorbent assays. Results are expressed as the mean ± standard deviation of six mice. Data are representative of two independent experiments.</p>
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<p>Ovalbumin (OVA)-specific IgG2c is induced by an enzymatically synthesized analog of hemozoin (esHz). The levels of OVA-specific IgG2c (OVA-IgG2c) and OVA-specific IgG1 (OVA-IgG1) and the ratio of OVA-IgG2c to OVA-IgG1 induced by either esHz or alum adjuvant at two (i), six (ii), and eight weeks (iii) after the second vaccination. Serum collected from immunized mice was used for enzyme-linked immunosorbent assay. Results are expressed as the mean ± standard deviation (<span class="html-italic">n</span> = 10 to 12). # The levels of OVA-IgG2c were lower than the detectable minimum of 0.39 ng/mL.</p>
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17 pages, 4657 KiB  
Article
Enhancing Selectivity and Inhibitory Effects of Chemotherapy Drugs Against Myelogenous Leukemia Cells with Lippia alba Essential Oil Enriched in Citral
by Wendy Lorena Quintero-García, Denerieth Ximena Espinel-Mesa, Erika Marcela Moreno, Elena Stashenko, Ana Cecilia Mesa-Arango and Liliana Torcoroma García
Int. J. Mol. Sci. 2024, 25(16), 8920; https://doi.org/10.3390/ijms25168920 - 16 Aug 2024
Viewed by 841
Abstract
Acute myelogenous leukemia (AML) is one of the most lethal cancers, lacking a definitive curative therapy due to essential constraints related to the toxicity and efficacy of conventional treatments. This study explores the co-adjuvant potential of Lippia alba essential oils (EO) for enhancing [...] Read more.
Acute myelogenous leukemia (AML) is one of the most lethal cancers, lacking a definitive curative therapy due to essential constraints related to the toxicity and efficacy of conventional treatments. This study explores the co-adjuvant potential of Lippia alba essential oils (EO) for enhancing the effectiveness and selectivity of two chemotherapy agents (cytarabine and clofarabine) against AML cells. EO derived from L. alba citral chemotype were produced using optimized and standardized environmental and extraction protocols. Rational fractionation techniques were employed to yield bioactive terpene-enriched fractions, guided by relative chemical composition and cytotoxic analysis. Pharmacological interactions were established between these fractions and cytarabine and clofarabine. The study comprehensively evaluated the cytotoxic, genotoxic, oxidative stress, and cell death phenotypes induced by therapies across AML (DA-3ER/GM/EVI1+) cells. The fraction rich in citral (F2) exhibited synergistic pharmacological interactions with the studied chemotherapies, intensifying their selective cytotoxic, genotoxic, and pro-oxidant effects. This shift favored transitioning from necrosis to a programmed cell death phenotype (apoptotic). The F2-clofarabine combination demonstrated remarkable synergistic anti-leukemic performance while preserving cell integrity in healthy cells. The observed selective antiproliferative effects may be attributed to the potential dual prooxidant/antioxidant behavior of citral in L. alba EO. Full article
(This article belongs to the Special Issue Investigation of Natural Products as Sources of Bioactive Molecules)
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<p>Antiproliferative and cytotoxic activity. EOCit1-EOCit5: EO from citral chemotype of <span class="html-italic">L. alba</span>; F2: citral-rich fraction; IC<sub>50</sub>: inhibitory concentration 50; CC<sub>50</sub>: cytotoxic concentration 50; SD: standard deviation; SI: selectivity index (CC<sub>50</sub>/IC<sub>50</sub>), ***: <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Isobolograms of pharmacological interactions and inhibition percentages between F2 and chemotherapies. Cytarabine (<b>A</b>); Clofarabine (<b>B</b>). FIC: fractional inhibitory concentration; F2: citral-rich fraction, ↓: decrease.</p>
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<p>Morphology of cells treated with the studied therapies. Cyt: cytarabine; Clof: clofarabine; F2: citral-rich fraction. IC<sub>50</sub>: Inhibitory Concentration 50; CC<sub>50</sub>: Cytotoxic Concentration 50; C. Pos: cells treated with carbonyl cyanide 3-chlorophenylhydrazone; C. Neg: untreated cells.</p>
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<p>Genotoxicity by comet assay. Cyt: cytarabine; Clof: clofarabine; F2: citral-rich fraction; IC<sub>50</sub>: inhibitory concentration 50; CC<sub>50</sub>: cytotoxic concentration 50.</p>
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<p>Flow cytometry analysis. (<b>A</b>). Annexin V/SYTOX Green; (<b>B</b>). Multicaspases activation. F2: citral-rich fraction; positive control: cells treated with DMSO (for Annexin V/SYTOX Green) or Carbonyl cyanide 3-chlorophenylhydrazone (for multicaspases); negative control: untreated cells. Analysis acquired from 5000 events.</p>
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<p>Antioxidant systems. SD: standard deviation; SOD-T: total superoxide dismutase; GSH-T: total glutathione (GSH); GSSG: oxidized glutathione; GSH: reduced GSH; ns: not significant; F2: citral-rich fraction; Cyt: cytarabine; Clof: clofarabine; **: <span class="html-italic">p</span> &lt; 0.001; ***: <span class="html-italic">p</span> &lt; 0.0001.</p>
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38 pages, 28895 KiB  
Article
Bioinformatics-Driven mRNA-Based Vaccine Design for Controlling Tinea Cruris Induced by Trichophyton rubrum
by Amir Elalouf, Hanan Maoz and Amit Yaniv Rosenfeld
Pharmaceutics 2024, 16(8), 983; https://doi.org/10.3390/pharmaceutics16080983 - 25 Jul 2024
Cited by 1 | Viewed by 1549 | Correction
Abstract
Tinea cruris, a dermatophyte fungal infection predominantly caused by Trichophyton rubrum and Epidermophyton floccosum, primarily affects the groin, pubic region, and adjacent thigh. Its recurrence is frequent, attributable to repeated fungal infections in susceptible individuals, especially those with onychomycosis or tinea pedis, [...] Read more.
Tinea cruris, a dermatophyte fungal infection predominantly caused by Trichophyton rubrum and Epidermophyton floccosum, primarily affects the groin, pubic region, and adjacent thigh. Its recurrence is frequent, attributable to repeated fungal infections in susceptible individuals, especially those with onychomycosis or tinea pedis, which act as reservoirs for dermatophytes. Given the persistent nature of tinea cruris, vaccination emerges as a promising strategy for fungal infection management, offering targeted, durable protection against various fungal species. Vaccines stimulate both humoral and cell-mediated immunity and are administered prophylactically to prevent infections while minimizing the risk of antifungal resistance development. Developing fungal vaccines is challenging due to the thick fungal cell wall, similarities between fungal and human cells, antigenic variation, and evolutionary resemblance to animals, complicating non-toxic target identification and T-cell response variability. No prior research has shown an mRNA vaccine for T. rubrum. Hence, this study proposes a novel mRNA-based vaccine for tinea cruris, potentially offering long-term immunity and reducing reliance on antifungal medications. This study explores the complete proteome of T. rubrum, identifying potential protein candidates for vaccine development through reverse vaccinology. Immunogenic epitopes from these candidates were mapped and integrated into multitope vaccines and reverse translated to construct mRNA vaccines. Then, the mRNA was translated and computationally assessed for physicochemical, chemical, and immunological attributes. Notably, 1,3-beta-glucanosyltransferase, CFEM domain-containing protein, cell wall galactomannoprotein, and LysM domain-containing protein emerged as promising vaccine targets. Antigenic, immunogenic, non-toxic, and non-allergenic cytotoxic T lymphocyte, helper T lymphocyte, and B lymphocyte epitopes were selected and linked with appropriate linkers and Toll-like receptor (TLR) agonist adjuvants to formulate vaccine candidates targeting T. rubrum. The protein-based vaccines underwent reverse translation to construct the mRNA vaccines, which, after inoculation, were translated again by host ribosomes to work as potential components for triggering the immune response. After that, molecular docking, normal mode analysis, and molecular dynamic simulation confirmed strong binding affinities and stable complexes between vaccines and TLR receptors. Furthermore, immune simulations of vaccines with and without adjuvant demonstrated activation of immune responses, evidenced by elevated levels of IgG1, IgG2, IgM antibodies, cytokines, and interleukins. There was no significant change in antibody production between vaccines with and without adjuvants, but adjuvants are crucial for activating the innate immune response via TLRs. Although mRNA vaccines hold promise against fungal infections, further research is essential to assess their safety and efficacy. Experimental validation is crucial for evaluating their immunogenicity, effectiveness, and safety. Full article
(This article belongs to the Special Issue Trends in mRNA Vaccine Development and Applications)
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<p>Predicted 3D structures of mRNA-derived vaccine candidates BGTV (<b>a</b>), CDPV (<b>b</b>), GMPV (<b>c</b>), and LDPV (<b>d</b>). Generated using trRosettaRNA.</p>
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<p>Visual representation of secondary structures of BGTV (<b>a</b>), CDPV (<b>b</b>), GMPV (<b>c</b>), and LDPV (<b>d</b>).</p>
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<p>Superimposed 3D models of unrefined (purple) and refined (green) BGTV (<b>a</b>), CDPV (<b>c</b>), GMPV (<b>e</b>), and LDPV (<b>g</b>) with Ramachandran plots of refined 3D constructs of BGTV (<b>b</b>), CDPV (<b>d</b>), GMPV (<b>f</b>), and LDPV (<b>h</b>).</p>
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<p>Docking complexes of vaccine candidates (red) against <span class="html-italic">T. rubrum</span> and TLR2 receptor (blue). (<b>a</b>) BGTV-TLR2; (<b>b</b>) CDPV-TLR2; (<b>c</b>) GMPV-TLR2; (<b>d</b>) LDPV-TLR2.</p>
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<p>Docking complexes of vaccine candidates (red) against <span class="html-italic">T. rubrum</span> and TLR4 receptor (blue). (<b>a</b>) BGTV-TLR4; (<b>b</b>) CDPV-TLR4; (<b>c</b>) GMPV-TLR4; (<b>d</b>) LDPV-TLR4.</p>
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<p>Normal mode analysis (NMA) of vaccine candidates against <span class="html-italic">T. rubrum</span> and TLR2 receptor complexes by iMODs. (<b>a</b>–<b>e</b>) iMODS results of BGTV-TLR2 complex. (<b>a</b>) NMA mobility; (<b>b</b>) main-chain deformability; (<b>c</b>) B-factor values; (<b>d</b>) the eigenvalue; (<b>e</b>) variance. (<b>f</b>–<b>j</b>) iMODS results of CDPV-TLR2 complex. (<b>f</b>) NMA mobility; (<b>g</b>) main-chain deformability; (<b>h</b>) B-factor values; (<b>i</b>) the eigenvalue; (<b>j</b>) variance; (<b>k</b>–<b>o</b>) iMODS results of GMPV-TLR2 complex. (<b>k</b>) NMA mobility; (<b>l</b>) main-chain deformability; (<b>m</b>) B-factor values; (<b>n</b>) the eigenvalue; (<b>o</b>) variance; (<b>p</b>–<b>t</b>) iMODS results of LDPV-TLR2 complex. (<b>p</b>) NMA mobility; (<b>q</b>) main-chain deformability; (<b>r</b>) B-factor values; (<b>s</b>) the eigenvalue; (<b>t</b>) variance.</p>
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<p>Normal mode analysis (NMA) of vaccine candidates against <span class="html-italic">T. rubrum</span> and TLR4 receptor complexes by iMODs. (<b>a</b>–<b>e</b>) iMODS results of BGTV-TLR24 complex. (<b>a</b>) NMA mobility; (<b>b</b>) main-chain deformability; (<b>c</b>) B-factor values; (<b>d</b>) the eigenvalue; (<b>e</b>) variance. (<b>f</b>–<b>j</b>) iMODS results of CDPV-TLR4 complex. (<b>f</b>) NMA mobility; (<b>g</b>) main-chain deformability; (<b>h</b>) B-factor values; (<b>i</b>) the eigenvalue; (<b>j</b>) variance; (<b>k</b>–<b>o</b>) iMODS results of GMPV-TLR4 complex. (<b>k</b>) NMA mobility; (<b>l</b>) main-chain deformability; (<b>m</b>) B-factor values; (<b>n</b>) the eigenvalue; (<b>o</b>) variance; (<b>p</b>–<b>t</b>) iMODS results of LDPV-TLR4 complex. (<b>p</b>) NMA mobility; (<b>q</b>) main-chain deformability; (<b>r</b>) B-factor values; (<b>s</b>) the eigenvalue; (<b>t</b>) variance.</p>
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<p>MD simulation results of dock complexes of potential vaccine candidates (BGTV (black), CDPV (blue), GMPV (yellow), and LDPV (red)) with TLR2 backbone. (<b>a</b>) Trajectory analysis of the RMSD between C-alpha atoms of dock complexes over time, (<b>b</b>) RMSF plot, (<b>c</b>) number of hydrogen bond formations, and (<b>d</b>) radius of gyration (RoG) plot.</p>
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<p>MD simulation results of dock complexes of potential vaccine candidates (BGTV (black), CDPV (blue), GMPV (yellow), and LDPV (red)) with TLR4 backbone. (<b>a</b>) Trajectory analysis of the RMSD between C-alpha atoms of dock complexes over time, (<b>b</b>) RMSF plot, (<b>c</b>) number of hydrogen bond formations, and (<b>d</b>) radius of gyration (RoG) plot.</p>
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<p>A computer-based simulation to model the immune response to the BGTV candidate, administering three doses over 350 days. Key parameters evaluated included antigen and immunoglobulins levels (<b>a</b>), LBLs (<b>b</b>–<b>d</b>), HTLs and CTLs (<b>e</b>–<b>i</b>), natural killer cells (<b>j</b>), dendritic cells (<b>k</b>), macrophages (<b>l</b>), epithelial presenting cell population (<b>m</b>), and cytokine concentrations (<b>n</b>). The Simpson index (D) was utilized to assess the simulation outcomes.</p>
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<p>A computer-based simulation to model the immune response to the CDPV candidate, administering three doses over 350 days. Key parameters evaluated included antigen and immunoglobulins levels (a), LBLs (b–d), HTLs and CTLs (e–i), natural killer cells (j), dendritic cells (k), macrophages (l), epithelial presenting cell population (m), and cytokine concentrations (n). The Simpson index (D) was utilized to assess the simulation outcomes.</p>
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<p>A computer-based simulation to model the immune response to the GMPV candidate, administering three doses over 350 days. Key parameters evaluated included antigen and immunoglobulins levels (a), LBLs (b–d), HTLs and CTLs (e–i), natural killer cells (j), dendritic cells (k), macrophages (l), epithelial presenting cell population (m), and cytokine concentrations (n). The Simpson index (D) was utilized to assess the simulation outcomes.</p>
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<p>A computer-based simulation to model the immune response to the LDPV candidate, administering three doses over 350 days. Key parameters evaluated included antigen and immunoglobulins levels (a), LBLs (b–d), HTLs and CTLs (e–i), natural killer cells (j), dendritic cells (k), macrophages (l), epithelial presenting cell population (m), and cytokine concentrations (n). The Simpson index (D) was utilized to assess the simulation outcomes.</p>
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41 pages, 4668 KiB  
Review
Neuroprotective Benefits of Rosmarinus officinalis and Its Bioactives against Alzheimer’s and Parkinson’s Diseases
by Danai Kosmopoulou, Maria-Parthena Lafara, Theodora Adamantidi, Anna Ofrydopoulou, Andreas M. Grabrucker and Alexandros Tsoupras
Appl. Sci. 2024, 14(15), 6417; https://doi.org/10.3390/app14156417 - 23 Jul 2024
Cited by 5 | Viewed by 3916
Abstract
Neurodegenerative disorders (NDs) are conditions marked by progressively escalating inflammation that leads to the degeneration of neuronal structure and function. There is an increasing interest in natural compounds, especially those from pharmaceutical plants, with neuroprotective properties as part of potential therapeutic interventions. Thus, [...] Read more.
Neurodegenerative disorders (NDs) are conditions marked by progressively escalating inflammation that leads to the degeneration of neuronal structure and function. There is an increasing interest in natural compounds, especially those from pharmaceutical plants, with neuroprotective properties as part of potential therapeutic interventions. Thus, the rich bioactive content of the perennial herb rosemary (Rosmarinus officinalis) is thoroughly reviewed in this article, with an emphasis on its pleiotropic pharmacological properties, including its antioxidant, anti-inflammatory, and neuroprotective health-promoting effects. In addition, a comprehensive analysis of the existing scientific literature on the potential use of rosemary and its bioactive constituents in treating neurodegenerative disorders was also conducted. Rosemary and its bioactives’ chemical properties and neuroprotective mechanisms are discussed, focusing on their ability to mitigate oxidative stress, reduce inflammation, and modulate neurotransmitter activity. The role of rosemary in enhancing cognitive function, attenuating neuronal apoptosis, and promoting neurogenesis is outlined. Key bioactive components, such as rosmarinic acid and carnosic acid, are also highlighted for their neuroprotective act. The promising outcomes of the conducted pre-clinical studies or clinical trials confirm the efficacy of rosemary in preventing or alleviating Alzheimer’s and Parkinson’s diseases both in vitro (in cells) and in vivo (in animal models of NDs). From this perspective, the applications of rosemary’s bio-functional compounds and extracts in the food, cosmetics, and pharmaceutical sectors are also presented; in the latter, we discuss their use against neurodegenerative disorders, either alone or as adjuvant therapies. This paper critically evaluates these studies’ methodological approaches and outcomes, providing insights into the current state of the clinical research and identifying potential avenues for future investigation. All findings presented herein contribute to the growing body of literature and support the exploration of natural compounds as promising candidates for novel applications and neuroprotective interventions, paving the way for more applied scientific research. Full article
(This article belongs to the Special Issue Plant-Based Compounds or Extractions for Medical Applications)
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<p>Connections between neuroinflammation, systemic inflammation, and PD occurrence in the cerebrum. Factors like TNF-α and IL-6, as well as blood cells including eosinophils, neutrophils, lymphocytes, and monocytes, are able to induce many proinflammatory cytokines that can initiate the degeneration of neurons via a-syn in the process of ongoing neuroinflammation, which induces the progression of PD.</p>
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<p>Predicted polarity and lipophilicity of rosemary bioactive, according to their logKow values (Kow = n-octanol/water partition coefficient).</p>
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<p>Stimulation of the Nrf2 pathway to induce phase II gene activation by CA pro-drugs like catechol. Catechol is at first transformed to a CA congener called quinone, an active electrophilic drug, which undergoes a nucleophilic attack in its electron deficient carbon by the Keap1 target protein that carries the Nrf2 factor. This factor consequently translocates to the nuclei where phase II gene activation occurs.</p>
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<p>RA downregulates Aβ-induced oxidative stress (ROS activity) by activating Nrf2 and Akt/GSK-3β/Fyn pathways in PC12 cells. RA crosses the cell membrane and induces the activation of a series of crucial factors in the Akt/GSK-3β/Fyn pathway inside the nucleus. Nrf2 increases in quantity and, via AREs, induces the activation of factors including HO-1, GCLc, NQO1, and TrxR, which inhibit the ROS activity that was previously initiated via Aβ’s action.</p>
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<p>Pathways affected by RA as a protective agent against SCI while assisting in nerve restoration. RA displays neuroprotective properties, combating oxidative stress and inflammation by stimulating the Nrf2/HO-1 signaling pathway and inhibiting the NF-κB signaling mechanism in SCI rat models. RA: rosmarinic acid; SCI: spinal cord injury; TNF-α: tumor necrosis factor-α; IL-6: interleukin-6; IL-1β: interleukin-1β; MDA: malondialdehyde; SOD: superoxide dismutase; CAT: catalase; GSH-Px: glutathione peroxidase; ROS: reactive oxygen species; Casp-8: caspase-8; Casp-9: caspase-9; Casp-3: caspase-3; Bax: B-cell lymphoma 2-associated X; Bcl-2: B cell lymphoma 2; Cyto-C: cytochrome C; Nrf2: nuclear factor erythroid-derived 2-related factor 2; Keap: kelch-like ECH-associated protein; ARE: antioxidant responsive element; HO-1: heme oxygenase-1; NQO1: NAD(P)H quinone oxidoreductase 1; Maf: musculoaponeurotic fibrosarcoma; TLR4: Toll-like receptor 4; MyD88: myeloid differentiation factor-88; IKK: inhibitor of NF-κB kinase; Ub: ubiquitin; IκB: inhibitory IκB family; NF-κB: β-nuclear factor kappa.</p>
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<p>Graphical illustration of the mechanism of tacrine (TAC) and rosmarinic acid (RA)’s synergistic action in reducing hepatotoxicity and enhancing anti-AD effects. RA combined with TAC is able to enter the brain tissues of the tested AD mice. This enhances cognitive behavior and AChE levels in the hippocampus, downregulates Aβ expression, and counteracts Aβ aggregation. The RA/TAC combination may halt the cell death induced by Bcl-2/Bax, minimize the apoptosis attributed to caspase-3, inhibit the development of liver apoptosis by alleviating the hepatotoxicity of TAC, and inhibit the phosphorylation of JNK.</p>
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41 pages, 11168 KiB  
Article
Bioactive Hydrogel Formulation Based on Ferulic Acid-Grafted Nano-Chitosan and Bacterial Nanocellulose Enriched with Selenium Nanoparticles from Kombucha Fermentation
by Naomi Tritean, Luminița Dimitriu, Ștefan-Ovidiu Dima, Marius Ghiurea, Bogdan Trică, Cristian-Andi Nicolae, Ionuț Moraru, Alina Nicolescu, Anisoara Cimpean, Florin Oancea and Diana Constantinescu-Aruxandei
J. Funct. Biomater. 2024, 15(7), 202; https://doi.org/10.3390/jfb15070202 - 22 Jul 2024
Viewed by 2232
Abstract
Selenium nanoparticles (SeNPs) have specific properties that result from their biosynthesis particularities. Chitosan can prevent pathogenic biofilm development. A wide palette of bacterial nanocellulose (BNC) biological and physical-chemical properties are known. The aim of this study was to develop a hydrogel formulation (SeBNCSFa) [...] Read more.
Selenium nanoparticles (SeNPs) have specific properties that result from their biosynthesis particularities. Chitosan can prevent pathogenic biofilm development. A wide palette of bacterial nanocellulose (BNC) biological and physical-chemical properties are known. The aim of this study was to develop a hydrogel formulation (SeBNCSFa) based on ferulic acid-grafted chitosan and bacterial nanocellulose (BNC) enriched with SeNPs from Kombucha fermentation (SeNPsK), which could be used as an adjuvant for oral implant integration and other applications. The grafted chitosan and SeBNCSFa were characterized by biochemical and physical-chemical methods. The cell viability and proliferation of HGF-1 gingival fibroblasts were investigated, as well as their in vitro antioxidant activity. The inflammatory response was determined by enzyme-linked immunosorbent assay (ELISA) of the proinflammatory mediators (IL-6, TNF-α, and IL-1β) in cell culture medium. Likewise, the amount of nitric oxide released was measured by the Griess reaction. The antimicrobial activity was also investigated. The grafting degree with ferulic acid was approximately 1.780 ± 0.07% of the total chitosan monomeric units, assuming single-site grafting per monomer. Fourier-transform infrared spectroscopy evidenced a convolution of BNC and grafted chitosan spectra, and X-ray diffraction analysis highlighted an amorphous rearrangement of the diffraction patterns, suggesting multiple interactions. The hydrogel showed a high degree of cytocompatibility, and enhanced antioxidant, anti-inflammatory, and antimicrobial potentials. Full article
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<p>TEM analysis: (<b>a</b>) CSFa(−), i.e., without ferulic acid addition in the reaction (non-grafted chitosan); (<b>b</b>) CSFa(+)—ferulic acid-grafted chitosan; (<b>c</b>) SeBNCSFa—hydrogel formulation based on ferulic acid-grafted chitosan and bacterial nanocellulose enriched with 2.5 µg/mL SeNPs from Kombucha fermentation; (<b>d</b>) EDX analysis of SeBNCSFa.</p>
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<p>SEM analysis: (<b>a</b>) CSFa(−) i.e., without ferulic acid addition in the reaction (non-grafted chitosan); (<b>b</b>) CSFa(+)—ferulic acid-grafted chitosan; (<b>c</b>) BNC—bacterial nanocellulose; (<b>d</b>) SeBNCSFa—hydrogel formulation based on ferulic acid-grafted chitosan and bacterial nanocellulose enriched with 2.5 µg/mL SeNPs from Kombucha fermentation.</p>
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<p>ATR-FTIR and XRD analyses of SeBNCSFa hydrogel and biocompounds: (<b>a</b>) ATR-FTIR analysis; (<b>b</b>) XRD analysis; CS—chitosan; Fa—ferulic acid; CSFa—ferulic acid-grafted chitosan; SeBNCSFa—hydrogel formulation based on ferulic acid-grafted chitosan and bacterial nanocellulose enriched with 2.5 µg/mL SeNPs from Kombucha fermentation.</p>
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<p>Themogravimetrical analysis (TGA) and derivative thermogravimetry (DTG) of SeBNCSFa hydrogel and biocompounds: (<b>a</b>) TGA and DTG of CS; (<b>b</b>) TGA and DTG of Fa; (<b>c</b>) TGA and DTG of CSFa(+); (<b>d</b>) TGA and DTG of SeBNCSFa; CS—chitosan; Fa—ferulic acid; CSFa(+)—Fa-grafted chitosan; SeBNCSFa—hydrogel formulation based on Fa-grafted chitosan and bacterial nanocellulose enriched with 2.5 µg/mL SeNPs from Kombucha fermentation.</p>
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<p>Rheology of SeBNCSFa: (<b>a</b>) Oscillatory sweep mode; (<b>b</b>) flow sweep mode; (<b>c</b>) axial mode on quartz; (<b>d</b>) axial mode on Ti; SeBNCSFa—hydrogel formulation based on ferulic acid-grafted chitosan and bacterial nanocellulose enriched with SeNPs from Kombucha fermentation.</p>
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<p>The antioxidant activity assessed by DPPH and FRAP assays (±error bars, α &lt; 0.05, <span class="html-italic">n</span> = 3, *—σ between 0.05 and 0.01, **—σ between 0.01 and 0.001); BNCSFa—hydrogel formulation based on ferulic acid-grafted chitosan and bacterial nanocellulose; SeBNCSFa—hydrogel formulation based on ferulic acid-grafted chitosan and bacterial nanocellulose enriched with SeNPs from Kombucha fermentation.</p>
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<p>Cytocompatibility of hydrogel formulations at 24 h post-treatment: (<b>a</b>,<b>b</b>) CCK-8 assay (±error bars, α &lt; 0.05, and <span class="html-italic">n</span> = 3, *—σ between 0.05 and 0.01, **—σ between 0.01 and 0.001, and ***—σ &lt; 0.001; black stars indicate statistically significant values that exceed C− and red stars indicate statistically significant values that are below C−); 10BNCSFa, 25BNCSFa, 50BNCSFa, 100BNCSFa, and 500BNCSFa are 10, 25, 50, 100, and 500 µg/mL BNCSFa, respectively; Se10BNCSFa, Se25BNCSFa, Se50BNCSFa, Se100BNCSFa, Se500BNCSFa are 10, 25, 50, 100, and 500 µg/mL BNCSFa, respectively, each enriched with 2.5 µg/mL final concentration of SeNPsK (selenium nanoparticles from Kombucha fermentation); (<b>c</b>–<b>f</b>) LIVE/DEAD assay (live cells—green fluorescence, dead cells—red fluorescence); HGF-1 cells treated with: (<b>c</b>) 50BNCSFa; (<b>d</b>) Se50BNCSFa; (<b>e</b>) C− (untreated cells, cytotoxicity negative control); (<b>f</b>) C+ (cells treated with 7.5% DMSO; cytotoxicity positive control); BNCSFa—hydrogel formulation based on ferulic acid-grafted chitosan and bacterial nanocellulose; (<b>g</b>–<b>i</b>) cell morphology at 24 h post-treatment: (<b>g</b>) C− (untreated cells, cytotoxicity negative control); Cells treated with: (<b>h</b>) 50BNCSFa—50 µg/mL hydrogel formulation based on ferulic acid-grafted chitosan and bacterial nanocellulose; (<b>i</b>) Se50BNCSFa—50 µg/mL BNCSFa enriched with 2.5 µg/mL SeNPsK (selenium nanoparticles from Kombucha fermentation).</p>
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<p>In vitro antioxidant activity at 24 h post-treatment: (<b>a</b>) ROS production (±error bars, α &lt; 0.05, and <span class="html-italic">n</span> = 3, different letters show statistically significant differences between samples); 50BNCSFa—50 µg/mL BNCSFa; Se50BNCSFa is 50BNCSFa enriched with 2.5 µg/mL SeNPsK (selenium nanoparticles from Kombucha fermentation); (<b>b</b>–<b>e</b>) fluorescence microscopy images after labeling total intracellular ROS with H<sub>2</sub>DCFDA (green fluorescence); HGF-1 cells treated with: (<b>b</b>) 50BNCSFa in the presence of ROS inducer (37 µM H<sub>2</sub>O<sub>2</sub>); (<b>c</b>) Se50BNCSFa in the presence of ROS inducer (37 µM H<sub>2</sub>O<sub>2</sub>) (<b>d</b>) C− (untreated cells, negative control); (<b>e</b>) C+ (cells treated with 37 µM H<sub>2</sub>O<sub>2</sub>, positive control); BNCSFa—hydrogel formulation based on ferulic acid-grafted chitosan and bacterial nanocellulose.</p>
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<p>(<b>a</b>) Cell viability assessed by CCK-8 assay; (<b>b</b>–<b>d</b>) quantification by ELISA technique of the pro-inflammatory cytokine release under LPS-treatment for 24 h (<b>b</b>) IL-6; (<b>c</b>) TNF-α; (<b>d</b>) IL-1β; (<b>e</b>) NO production investigated by Griess diazotization assay; (± error bars, α &lt; 0.05, <span class="html-italic">n</span> = 3, **—σ between 0.01 and 0.001, and ***—σ &lt; 0.001; black stars with (+) show statistically significant values that exceed C−, and red stars with (−) show statistically significant values that are below C−; different letters show statistically significant differences between the samples); C− (untreated cells, negative control for inflammation); LPS + SeNPsK (1 µg/mL LPS + 2.5 µg/mL selenium nanoparticles from Kombucha fermentation); LPS + 50BNCSFa (1 µg/mL LPS + 50 µg/mL hydrogel formulation based on ferulic acid-grafted chitosan and bacterial nanocellulose); LPS + Se50BNCSFa (1 µg/mL LPS + 50BNCSFa enriched with 2.5 µg/mL selenium nanoparticles from Kombucha fermentation); LPS (cell treatment with 1 µg/mL LPS).</p>
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<p>Prebiotic activity: (<b>a</b>) <span class="html-italic">L. reuteri</span> growth; (<b>b</b>) <span class="html-italic">L. salivarius</span> growth (±error bars, α &lt; 0.05, <span class="html-italic">n</span> = 3; different letters show statistically significant differences between the samples; in order to establish the statistically significant differences between the samples, the results obtained for each time interval were analyzed separately and the statistical letters have a different color for each incubation time, i.e., 24 h, 48 h, and 72 h in each graph); 50BNCSFa—50 µg/mL hydrogel formulation based on ferulic acid-grafted chitosan and bacterial nanocellulose; Se50BNCSFa—50BNCSFa enriched with 2.5 µg/mL SeNPsK.</p>
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<p>Quantitative screening of the antibacterial activity: (<b>a</b>) <span class="html-italic">Staphylococcus aureus</span> growth inhibition 12 h post-treatment; (<b>b</b>) <span class="html-italic">S. aureus</span> growth inhibition 24 h post-treatment; (<b>c</b>) <span class="html-italic">Bacillus cereus</span> growth inhibition 12 h post-treatment; (<b>d</b>) <span class="html-italic">B. cereus</span> growth inhibition 24 h post-treatment; (<b>e</b>) <span class="html-italic">Pseudomonas aeruginosa</span> growth inhibition 12 h post-treatment (±error bars, α &lt; 0.05, <span class="html-italic">n</span> = 3; different letters show statistically significant differences between the samples; in order to establish the statistically significant differences between the samples, the results obtained for each microbial density were analyzed separately); SeNPsK—2.5 µg/mL selenium nanoparticles from Kombucha fermentation; 50BNCSFa—50 µg/mL hydrogel formulation based on ferulic acid-grafted chitosan and bacterial nanocellulose; Se50BNCSFa—50BNCSFa enriched with 2.5 µg/mL SeNPsK.</p>
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<p>Quantitative screening of the antifungal activity: (<b>a</b>) <span class="html-italic">Candida albicans</span> growth inhibition 12 h post-treatment; (<b>b</b>) <span class="html-italic">C. albicans</span> growth inhibition 24 h post-treatment (±error bars, α &lt; 0.05, <span class="html-italic">n</span> = 3; different letters show statistically significant differences between the samples; in order to establish the statistically significant differences between the samples, the results obtained for each microbial density were analyzed separately); SeNPsK—2.5 µg/mL selenium nanoparticles from Kombucha fermentation; 50BNCSFa—50 µg/mL hydrogel formulation based on ferulic acid-grafted chitosan and bacterial nanocellulose; Se50BNCSFa—50BNCSFa enriched with 2.5 µg/mL SeNPsK.</p>
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<p>Possible mechanism of grafting reaction between ferulic acid (Fa) and chitosan (CS); red amide bond in CSFa(+) indicates most probable site; blue ester bond in CSFa(+) indicates possible additional grafting site at C6-OH; AscA: ascorbic acid; CSFa(+): grafted chitosan.</p>
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12 pages, 1579 KiB  
Article
Determination of Deamidation in Adjuvanted Vaccine Antigens through Isoaspartic Acid Quantification
by Manvi Hasija, Jian Ma, Bing Li, Nausheen Rahman, Kirsten A. Strahlendorf and Salvador Fernando Ausar
Vaccines 2024, 12(7), 733; https://doi.org/10.3390/vaccines12070733 - 2 Jul 2024
Viewed by 1214
Abstract
Deamidation is a post-translational chemical modification that occurs within proteins and can be influenced by many factors, including temperature and pH. In vaccines, deamidation is considered undesirable as it may lead to changes in structure, function, stability, and immunogenicity. Detecting deamidation in vaccines, [...] Read more.
Deamidation is a post-translational chemical modification that occurs within proteins and can be influenced by many factors, including temperature and pH. In vaccines, deamidation is considered undesirable as it may lead to changes in structure, function, stability, and immunogenicity. Detecting deamidation in vaccines, especially adjuvanted vaccines, can be challenging due to the lack of simple quantitative techniques. In this study, the quantification of isoaspartic acid (isoAsp) was used to assess deamidation in model antigens in the presence and absence of common vaccine adjuvants. This study shows that the detection of isoAsp was possible in the presence of various types of adjuvants with little to no interference. High levels of isoAsp were detected in thermally and pH-stressed adjuvanted vaccines, suggesting significant deamidation and highlighting the stability-indicating capabilities of the assay. The quantification of isoAsp in stability programs of a vaccine drug product could possibly find applications in product shelf-life determination, using thermal kinetic modeling to predict deamidation over time. The ability to detect deamidation early in vaccine development enhances process improvements and ultimately improves the vaccine’s stability. To summarize, this paper describes a rapid and simple method to determine deamidation in adjuvanted vaccines. This method could be applicable to formulation development, stability assessment, or shelf-life determination. Full article
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<p>Calibration curve produced with S-Adenosyl homocysteine (SAH). Error bars represent the standard deviation from the mean (<span class="html-italic">n</span> = 3).</p>
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<p>Quantification of isoaspartic acid (isoAsp) in adjuvanted vaccines. (<b>A</b>) IsoAsp quantification in a thermally stressed recombinant fusion protein (RFP) formulated either with toll-like receptor (TLR) 9 adjuvant, aluminum hydroxide (AH), or AF03 adjuvants. Lower recovery was observed in the recombinant fusion protein–toll-like receptor 9 adjuvant (RFP-TLR-9 adjuvant) formulation (* n = 3, <span class="html-italic">p</span> = 0.0002, unpaired <span class="html-italic">t</span>-test). (<b>B</b>) Increased recovery of isoAsp by treating RFP-TLR-9 adjuvanted with 0.2 M phosphate buffer (PB). No significant differences were observed in the isoAsp concentration when comparing RFP-TLR-9 adjuvant + 0.2 M PB versus RFP control (n = 3, <span class="html-italic">p</span> = 0.7403, unpaired <span class="html-italic">t</span>-test).</p>
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<p>Effect of phosphate treatment of AlOOH on the stability of PcpA as evaluated by RP-HPLC (<b>A</b>) and isoAsp acid quantification (<b>B</b>). PcpA alone (blue circle), PcpA with AH (red square), and PcpA with phosphate-treated aluminum hydroxide (PTAH) 1.0 (purple triangle) were incubated for 5 weeks at 45 °C and tested weekly. Error bars represent the standard deviation from the mean (n = 3). The slopes obtained for PcpA with AH (red squares) were significantly higher than those obtained for PcpA in PTAH (purple triangles) or PcpA alone (blue circles) (ANCOVA, <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Effect of pH and stress temperature of 55 °C on deamidation rate of RFP-TLR-9 adjuvant. IsoAsp was measured at time zero (blue bars) and after 2 weeks of incubation at 55 °C (red bar) as a function of formulation pH. Error bars represent the SD from the mean (n = 3). A significant increase in the isoAsp concentration was observed at pH 7 and pH 7.8 when compared to pH 6.5 (unpaired <span class="html-italic">t</span>-test, <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>IsoAsp quantification ability to monitor long-term deamidation as a function of pH. IsoAsp was measured for RFP-TLR-9 adjuvant at pH 6.5 (red) and pH 7.8 (blue) as a function of time at 25 °C (<b>A</b>), 37 °C (<b>B</b>), 45 °C (<b>C</b>), and 55 °C (<b>D</b>). Error bars represent the standard deviation from the mean (n = 3). Comparisons of the nonlinear trends were performed using <span class="html-italic">F</span>-tests; statistically significant differences were observed among the trends obtained at pH 6.5 and 7.8 (<span class="html-italic">p</span> &lt; 0.01).</p>
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<p>The long-term stability of RFP-TLR-9 adjuvant indicates that deamidation, monitored by isoAsp, is minimized at pH 6.5. Kinetic prediction modeling for long-term stability for pH 6.5 (<b>A</b>) and 7.8 (<b>B</b>) was performed by analyzing the data obtained at 5 °C, 25 °C, 37 °C, 45 °C, and 55 °C. Error bars represent the SD from the mean (n = 3). Prediction parameters are reported in <a href="#vaccines-12-00733-t002" class="html-table">Table 2</a>.</p>
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31 pages, 4157 KiB  
Article
Phytochemical Characterization and Antioxidant Activity Evaluation for Some Plant Extracts in Conjunction with Pharmacological Mechanism Prediction: Insights into Potential Therapeutic Applications in Dyslipidemia and Obesity
by Elena Iuliana Ilie, Liliana Popescu, Emanuela-Alice Luță, Andrei Biță, Alexandru Radu Corbu, Dragoș Paul Mihai, Ana Corina Pogan, Teodora Dalila Balaci, Alexandru Mincă, Ligia Elena Duțu, Octavian Tudorel Olaru, Rica Boscencu and Cerasela Elena Gîrd
Biomedicines 2024, 12(7), 1431; https://doi.org/10.3390/biomedicines12071431 - 27 Jun 2024
Cited by 2 | Viewed by 1300
Abstract
Lipid metabolism dysregulation can lead to dyslipidemia and obesity, which are major causes of cardiovascular disease and associated mortality worldwide. The purpose of the study was to obtain and characterize six plant extracts (ACE—Allii cepae extractum; RSE—Rosmarini extractum; CHE— [...] Read more.
Lipid metabolism dysregulation can lead to dyslipidemia and obesity, which are major causes of cardiovascular disease and associated mortality worldwide. The purpose of the study was to obtain and characterize six plant extracts (ACE—Allii cepae extractum; RSE—Rosmarini extractum; CHE—Cichorii extractum; CE—Cynarae extractum; AGE—Apii graveolentis extractum; CGE—Crataegi extractum) as promising adjuvant therapies for the prevention and treatment of dyslipidemia and its related metabolic diseases. Phytochemical screening revealed that RSE was the richest extract in total polyphenols (39.62 ± 13.16 g tannic acid/100 g dry extract) and phenolcarboxylic acids (22.05 ± 1.31 g chlorogenic acid/100 g dry extract). Moreover, the spectrophotometric chemical profile highlighted a significant concentration of flavones for CGE (5.32 ± 0.26 g rutoside/100 g dry extract), in contrast to the other extracts. UHPLC-MS quantification detected considerable amounts of phenolic constituents, especially chlorogenic acid in CGE (187.435 ± 1.96 mg/g extract) and rosmarinic acid in RSE (317.100 ± 2.70 mg/g extract). Rosemary and hawthorn extracts showed significantly stronger free radical scavenging activity compared to the other plant extracts (p < 0.05). Pearson correlation analysis and the heatmap correlation matrix indicated significant correlations between phytochemical contents and in vitro antioxidant activities. Computational studies were performed to investigate the potential anti-obesity mechanism of the studied extracts using target prediction, homology modeling, molecular docking, and molecular dynamics approaches. Our study revealed that rosmarinic acid (RA) and chlorogenic acid (CGA) can form stable complexes with the active site of carbonic anhydrase 5A by either interacting with the zinc-bound catalytic water molecule or by directly binding Zn2+. Further studies are warranted to experimentally validate the predicted CA5A inhibitory activities of RA and CGA and to investigate the hypolipidemic and antioxidant activities of the proposed plant extracts in animal models of dyslipidemia and obesity. Full article
(This article belongs to the Special Issue Phytochemicals: Current Status and Future Prospects)
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<p>Heatmap correlation matrix and correlation spectrum (moderate correlation: [0.40–0.69]; strong correlation: [0.70–0.89]; perfect correlation: [0.90–1.00];│r│ = absolute value of Pearson correlation coefficient; INVSQRT = inverse square root transformation of data; SQRT = square root transformation of data).</p>
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<p>Pyramid model for the ABTS method.</p>
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<p>Pyramid model for the DPPH method.</p>
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<p>Pyramid model for the FRAP method.</p>
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<p>Predicted binding poses of RA and CGA in CA5A active site. (<b>a</b>) Predicted conformation of RA-CA5A complex; (<b>b</b>) 2D diagram of predicted interactions between RA and CA5A; (<b>c</b>) predicted conformation of CGA-CA5A complex; (<b>d</b>) 2D diagram of predicted interactions between CGA and CA5A. Green dashes—hydrogen bonds, blue dashes—hydrogen bond with water molecules, orange dashes—attractive charges, purple dashes—pi-sigma interactions, pink dashes—pi-alkyl interactions, light green circles—van der Waals interactions.</p>
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<p>MD results after 100 ns of simulation time. (<b>a</b>) RMSD values for all protein carbon atoms as a function of simulation time for CA5A-RA vs. control; (<b>b</b>) RMSD values for all protein carbon atoms as a function of simulation time for CA5A-CGA vs. control; (<b>c</b>) Ligand movement RMSD after superposing on the receptor for RA and CGA, illustrating the movement of the ligand in the binding pocket; (<b>d</b>) Ligand conformation RMSD after superposing on the initial ligand coordinates, illustrating the conformational changes of the ligand; (<b>e</b>) RMSF values per amino acid residue for CA5A-RA complex vs. control; (<b>f</b>) RMSF values per amino acid residue for CA5A-CGA complex vs. control.</p>
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<p>Ligand binding pose after 100 ns of simulation. (<b>a</b>) Superposition of the final snapshot of CA5A-RA complex simulation (blue/purple) on the initial conformation (green/orange); (<b>b</b>) 2D diagram of molecular interactions between RA and CA5A after 100 ns; (<b>c</b>) Superposition of the final snapshot of CA5A-CGA complex simulation (blue/purple) on the initial conformation (green/orange); (<b>d</b>) 2D diagram of molecular interactions between CGA and CA5A after 100 ns. Green dashes—hydrogen bonds, blue dashes—hydrogen bond with water molecules, orange dashes—attractive charges, magenta dashes—pi-pi T-shaped interactions, pink dashes—pi-alkyl interactions, tea green dashes—carbon–hydrogen bonds, light green circles—van der Waals interactions.</p>
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