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16 pages, 4673 KiB  
Communication
Antimicrobial Activity of the Peptide C14R Against Ab Initio Growing and Preformed Biofilms of Candida albicans, Candida parapsilosis and Candidozyma auris
by Jan-Christoph Walter, Ann-Kathrin Kissmann, Daniel Gruber, Daniel Alpízar-Pedraza, Ernesto M. Martell-Huguet, Nico Preising, Armando Rodriguez-Alfonso, Ludger Ständker, Christoph Kleber, Wolfgang Knoll, Steffen Stenger, Carolina Firacative and Frank Rosenau
Biomolecules 2025, 15(3), 322; https://doi.org/10.3390/biom15030322 - 21 Feb 2025
Viewed by 359
Abstract
Biofilms are the predominant lifeforms of microorganisms, contributing to over 80% of infections, including those caused by Candida species like C. albicans, C. parapsilosis and Candidozyma auris. These species form biofilms on medical devices, making infections challenging to treat, especially with [...] Read more.
Biofilms are the predominant lifeforms of microorganisms, contributing to over 80% of infections, including those caused by Candida species like C. albicans, C. parapsilosis and Candidozyma auris. These species form biofilms on medical devices, making infections challenging to treat, especially with the rise in drug-resistant strains. Candida infections, particularly hospital-acquired ones, are a significant health threat due to their resistance to antifungals and the risk of developing systemic infections (i.e., sepsis). We have previously shown that C14R reduces the viability of C. albicans and C. auris, but not of C. parapsilosis. Here, we show that C14R not only inhibits viability by pore formation, shown in a resazurin reduction assay, and in a C. parapsilosis and fluorescence-based permeabilization assay, but it also halts biofilm maturation and significantly reduces the biomass of preformed biofilms by over 70%. These findings suggest C14R could be an effective option for treating severe fungal infections, offering a potential new treatment approach for biofilm-related diseases. Further research is needed to fully understand its biofilm dispersal potential and to optimize its use for future applications as an antifungal in clinical settings. Full article
(This article belongs to the Special Issue State of the Art and Perspectives in Antimicrobial Peptides)
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Figure 1

Figure 1
<p>(<b>A</b>) Three-dimensional prediction gained via an ab initio method using AlphaFold2 from Google Colabs (<a href="https://colab.research.google.com/github/sokrypton/ColabFold/" target="_blank">https://colab.research.google.com/github/sokrypton/ColabFold/</a>, 19 February 2025) of the peptide C14R with the sequence NH<sub>2</sub>-CSSGSLWRLIRRFLRR, as well as the following properties: amino acid sequence, length, theoretical isoelectric point (pI), the aliphatic index and the grand average hydropathy index (GRAVY) of C14R calculated with ExPASy ProtParam. (<b>B</b>) Example of a 96-well polystyrene microtiter plate (Sarstedt AG &amp; Co. KG, Nümbrecht, Germany) filled with 200 µL of RPMI-1640 media and inoculated with cells of <span class="html-italic">C. albicans</span>. (<b>C</b>) Example of a 96-well microtiter plate (Sarstedt AG &amp; Co. KG, Nümbrecht, Germany) after performing the staining of <span class="html-italic">C. albicans</span> biofilm cells with crystal violett. (<b>D</b>) Schematic overview of the lifecycle of <span class="html-italic">Candida</span> biofilm in four steps: adherence, growth initiation, maturation and dispersal.</p>
Full article ">Figure 2
<p>Kinetic of biofilm formation at the time points 2, 4, 6, 8, 24, 48, 72 and 96 h of (<b>A</b>) <span class="html-italic">C. albicans</span>, (<b>B</b>) <span class="html-italic">C. auris,</span> and (<b>C</b>) <span class="html-italic">C. parapsilosis</span>, all determined using the crystal violet assay. All experiments were conducted in triplicate with error bars representing standard deviations.. <span class="html-italic">p</span> values &lt; 0.05 were considered significant. ns denotes not significant. * denotes <span class="html-italic">p</span> &lt; 0.05, ** denotes <span class="html-italic">p</span> &lt; 0.01, and *** denotes <span class="html-italic">p</span> &lt; 0.001.</p>
Full article ">Figure 3
<p>Inhibition of biofilm formation by incubation of <span class="html-italic">Candida</span> cells with the antimicrobial peptide C14R simultaneously with inoculation. Graphs show the formed biofilms after an incubation time of 24 h. Biofilm mass was analyzed using the crystal violet assay. The resulting effective MBIC dose was 50 µg/mL for <span class="html-italic">C. albicans</span> (<b>A</b>), 200 µg/mL for <span class="html-italic">C. auris</span> (<b>B</b>), and 50 µg/mL for <span class="html-italic">C. parapsilosis</span> (<b>C</b>). <span class="html-italic">p</span> values &lt; 0.05 were considered as significant; * denotes <span class="html-italic">p</span> &lt; 0.05; ** denotes <span class="html-italic">p</span> &lt; 0.01; *** denotes <span class="html-italic">p</span> &lt; 0.001 while ns denotes not significant.</p>
Full article ">Figure 4
<p>Inhibition of further biofilm growth in the incubation phase with C14R, phase 2 (24–48 h) compared to the biofilm mass of phase 1 (24 h of incubation without C14R, red bar). For <span class="html-italic">C. albicans</span> (<b>A</b>), an inhibition of gain in biofilm-biomass could be detected at concentrations ≥ 100 µg/mL. For <span class="html-italic">C. auris</span> (<b>B</b>), a concentration of 50 µg/mL led to an inhibition of further biofilm growth, while concentrations ≥ 100 µg/mL could decay the biomass compared to the phase 1 biofilm mass. The concentration for inhibition of further growth of <span class="html-italic">C. parapsilosis</span> (<b>C</b>) was 50–100 µg/mL, while ≥200 µg/mL led to a biofilm decay of <span class="html-italic">C. parapsilosis</span>.</p>
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27 pages, 7258 KiB  
Article
Apiaceae Bioferments Obtained by Fermentation with Kombucha as an Important Source of Active Substances for Skin Care
by Zofia Nizioł-Łukaszewska, Aleksandra Ziemlewska, Martyna Zagórska-Dziok, Agnieszka Mokrzyńska, Magdalena Wójciak and Ireneusz Sowa
Molecules 2025, 30(5), 983; https://doi.org/10.3390/molecules30050983 - 20 Feb 2025
Viewed by 207
Abstract
This article attempts to comprehensively assess plants from the Apiaceae family, such as Apium graveolens, Daucus carota or Petroselinum crispum, as raw plant materials with potential uses in cosmetic products with anti-inflammatory and antibacterial effects. The work compares the phytochemical profiles [...] Read more.
This article attempts to comprehensively assess plants from the Apiaceae family, such as Apium graveolens, Daucus carota or Petroselinum crispum, as raw plant materials with potential uses in cosmetic products with anti-inflammatory and antibacterial effects. The work compares the phytochemical profiles and activity of extracts and ferments from the roots of these plants obtained during fermentation using kombucha. The antioxidant properties of the tested extracts, the effect on the intracellular level of free radicals and their cytotoxicity towards skin cells were compared. Their anti-inflammatory and antibacterial properties were also assessed. The ABTS and DPPH tests indicated the highest antioxidant potential of the carrot ferments, achieving a 55.75% and 74.6% reduction of these radicals, respectively. The resazurin and Neutral Red assays indicated that in most cases, sample concentrations not exceeding 2.5% did not cause a cytotoxic effect, and in the case of a 20-day parsley ferment, they could increase viability by over 40%. The disk diffusion method indicated growth inhibition zones of over 20 mm for some bacteria. The minimum inhibitory concentrations for seven different bacterial strains ranged from 200 to 400 µg/mL. Anti-inflammatory properties were determined using the ELISA method, assessing the level of interleukins 1β, 6 and 10. The obtained results indicate a higher amount of phytochemicals, a lack of cytotoxic effect at lower concentrations of the tested samples and significantly stronger antioxidant, antibacterial and anti-inflammatory properties of the ferments compared to the extracts. This effect depends on the concentration and fermentation time used. Full article
(This article belongs to the Special Issue Multifunctional Natural Ingredients in Skin Protection and Care)
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Figure 1

Figure 1
<p>Base peak chromatogram of 10-day fermented extracts from <span class="html-italic">P. crispum</span> (blue line), <span class="html-italic">A. graveolens</span> (red line) and <span class="html-italic">D. carota</span> (green line). MS data extracted from particular peaks and the names of identified components are given in <a href="#molecules-30-00983-t001" class="html-table">Table 1</a>.</p>
Full article ">Figure 2
<p>The ability of <span class="html-italic">A. graveolens</span>, <span class="html-italic">D. carota</span> and <span class="html-italic">P. crispum</span> root extracts (E) and ferments (F10 and F20) to scavenge ABTS free radicals at concentrations of 0.5%, 1.0%, 2.5% and 5.0%. Data are presented as mean ± SD from three independent experiments, with each sample tested in triplicate. **** <span class="html-italic">p</span> &lt; 0.0001, * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>The ability of <span class="html-italic">A. graveolens</span>, <span class="html-italic">D. carota</span> and <span class="html-italic">P. crispum</span> roots extracts (E) and ferments (F10 and F20) to scavenge DPPH free radicals at concentrations of 0.5%, 1.0%, 2.5% and 5.0%. Data are presented as mean ± SD from three independent experiments, with each sample tested in triplicate. **** <span class="html-italic">p</span> &lt; 0.0001, *** <span class="html-italic">p</span> = 0.0001, ** <span class="html-italic">p</span> = 0.002.</p>
Full article ">Figure 4
<p>The effect of <span class="html-italic">A. graveolens, D. carota</span> and <span class="html-italic">P. crispum</span> root extracts (E) and ferments (F10 and F20) at the concentrations of 0.5%, 1.0%, 2.5% and 5.0% on the intracellular level of reactive oxygen species in fibroblasts (HDFs). Data are presented as mean ± SD from three independent experiments, with each sample tested in triplicate. **** <span class="html-italic">p</span> &lt; 0.0001, *** <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> = 0.0057, * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 5
<p>The effect of <span class="html-italic">A. graveolens, D. carota</span> and <span class="html-italic">P. crispum</span> root extracts (E) and ferments (F10 and F20) at the concentrations of 0.5%, 1.0%, 2.5% and 5.0% on the intracellular level of reactive oxygen species in keratinocytes (HaCaTs). Data are presented as mean ± SD from three independent experiments, with each sample tested in triplicate. **** <span class="html-italic">p</span> &lt; 0.0001, *** <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> &lt; 0.01, * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 6
<p>The reduction in resazurin after 24 h exposure to <span class="html-italic">A. graveolens, D. carota</span> and <span class="html-italic">P. crispum</span> extracts in cultured fibroblasts (HDFs). Data are the means ± SD of three independent experiments in which each sample was tested in three replicates. *** <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> &lt; 0.01, * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 7
<p>The reduction in resazurin after 24 h exposure to <span class="html-italic">A. graveolens, D. carota</span> and <span class="html-italic">P. crispum</span> extracts in cultured keratinocytes (HaCaTs). Data are the means ± SD of three independent experiments in which each sample was tested in three replicates. *** <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> &lt; 0.01, * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 8
<p>The effect of increasing concentrations <span class="html-italic">A. graveolens, D. carota</span> and <span class="html-italic">P. crispum</span> extracts and ferments on Neutral Red dye uptake in cultured fibroblasts after 24 h of exposure. Data are the means ± SD of three independent experiments in which each sample was tested in three replicates. **** <span class="html-italic">p</span> &lt; 0.0001, *** <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> &lt; 0.01, * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 9
<p>The effect of increasing concentrations of <span class="html-italic">A. graveolens</span>, <span class="html-italic">D. carota</span> and <span class="html-italic">P. crispum</span> extracts and ferments on Neutral Red dye uptake in cultured keratinocytes after 24 h of exposure. Data are the means ± SD of three independent experiments in which each sample was tested in three replicates. ** <span class="html-italic">p</span> = 0.0081, * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 10
<p>The effect of extracts and ferments of <span class="html-italic">A. graveolens</span>, <span class="html-italic">D. carota</span> and <span class="html-italic">P. crispum</span> roots after exposure to bacterial LPS (10 μg/mL) on the level of interleukin 1β calculated as a percentage in comparison with the untreated control. Data are mean ± SD from three independent experiments in which each sample was tested in duplicate. **** <span class="html-italic">p</span> &lt; 0.0001.</p>
Full article ">Figure 11
<p>The effect of extracts and ferments of <span class="html-italic">A. graveolens</span>, <span class="html-italic">D. carota</span> and <span class="html-italic">P. crispum</span> roots after exposure to bacterial LPS (10 μg/mL) on the level of interleukin 6 calculated as a percentage in comparison with the untreated control. Data are mean ± SD from three independent experiments in which each sample was tested in duplicate. **** <span class="html-italic">p</span> &lt; 0.0001, *** <span class="html-italic">p</span> = 0.0004.</p>
Full article ">Figure 12
<p>The effect of extracts and ferments of <span class="html-italic">A. graveolens</span>, <span class="html-italic">D. carota</span> and <span class="html-italic">P. crispum</span> roots after exposure to bacterial LPS (10 μg/mL) on the level of interleukin 10 calculated as a percentage in comparison with the untreated control. Data are mean ± SD from three independent experiments in which each sample was tested in duplicate. **** <span class="html-italic">p</span> &lt; 0.0001.</p>
Full article ">
30 pages, 9822 KiB  
Article
Exploring Antimycobacterial Potential: Safety Evaluation and Active Compound Isolation from Gymnopilus junonius
by Jenske Didloff, Gerhardt J. Boukes, Mutenta N. Nyambe, Denzil R. Beukes, Mookho S. Lerata, Velile Vilane, Michael Lee, Sharlene Govender and Maryna van de Venter
Antibiotics 2025, 14(2), 179; https://doi.org/10.3390/antibiotics14020179 - 11 Feb 2025
Viewed by 500
Abstract
Background/Objectives: Tuberculosis remains a major public health crisis, and it is imperative to search for new antimycobacterial drugs. Natural products, including medicinal macrofungi, have been used as sources for the discovery of pharmaceuticals; however, research on their antimycobacterial activity remains limited. This study [...] Read more.
Background/Objectives: Tuberculosis remains a major public health crisis, and it is imperative to search for new antimycobacterial drugs. Natural products, including medicinal macrofungi, have been used as sources for the discovery of pharmaceuticals; however, research on their antimycobacterial activity remains limited. This study aimed to isolate and identify the bioactive compound responsible for antimycobacterial activity, thereby expanding on the limited knowledge regarding the antimicrobial activity and bioactive compounds present in Gymnopilus junonius. Methods: Bioassay-guided fractionation using column chromatography and preparative thin-layer chromatography were employed to isolate the active compound. Antimycobacterial activity against Mycobacterium tuberculosis H37 was assessed using a resazurin microplate assay (REMA). The chemical structure was determined by 1H nuclear magnetic resonance (NMR) spectroscopy, heteronuclear single quantum coherence (HSQC) spectroscopy, heteronuclear multiple bond correlation (HMBC) spectroscopy, and high-resolution electrospray ionization mass (HR-ESI-MS) spectrometry. Transmission electron microscopy (TEM) was used to observe the ultrastructural changes in M. tuberculosis induced by the compound. Cytotoxicity was evaluated in African green monkey kidney cells (Vero), human liver cells (C3A), and zebrafish embryos/larvae. Results: Bioassay-guided fractionation led to the isolation of gymnopilene, which showed inhibitory activity against M. tuberculosis (MIC: 31.25 µg/mL). TEM analysis revealed that treatment with gymnopilene caused ultrastructural damage observed as the disruption and disintegration of the cell wall. While gymnopilene demonstrated cytotoxicity in Vero and C3A cells, no toxicity was observed in zebrafish embryos/larvae for the crude extract. Conclusions: This study highlights that macrofungi, such as G. junonius, could be a valuable resource of bioactive compounds. Full article
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Figure 1

Figure 1
<p>Photograph of <span class="html-italic">Gymnopilus junonius</span> (Fr.) P.D. Orton collected in the Western Cape province of South Africa [<a href="#B16-antibiotics-14-00179" class="html-bibr">16</a>].</p>
Full article ">Figure 2
<p>Percentage inhibition of <span class="html-italic">M</span>. <span class="html-italic">tuberculosis</span> H37 determined by the REMA for fractions isolated from an ethanol <span class="html-italic">G</span>. <span class="html-italic">junonius</span> extract using silica gel column chromatography. Data are reported as the mean ± standard deviation of triplicate readings. Inh: isoniazid.</p>
Full article ">Figure 3
<p>(<b>A</b>) Percentage inhibition of <span class="html-italic">M</span>. <span class="html-italic">tuberculosis</span> H37 treated with <span class="html-italic">G</span>. <span class="html-italic">junonius</span> fraction 13 determined by REMA. Data are reported as the mean ± standard deviation of three independent experiments, each performed in triplicate. Significance was determined using the two-tailed Student’s <span class="html-italic">t</span>-test: *** <span class="html-italic">p</span> ≤ 0.005 compared to the growth control; silica gel TLC profiling of fraction 13 using an ethyl acetate/methanol (9:1 <span class="html-italic">v</span>/<span class="html-italic">v</span>) solvent system with five drops of ammonium hydroxide. UV lamp wavelength (<b>B</b>) 254 nm; (<b>C</b>) staining with a vanillin–sulfuric acid solution; (<b>D</b>) iodine vapor.</p>
Full article ">Figure 4
<p>Percentage inhibition of <span class="html-italic">M</span>. <span class="html-italic">tuberculosis</span> H37 treated with <span class="html-italic">G</span>. <span class="html-italic">junonius</span> sub-fractions isolated from bioactive fraction 13 determined by REMA. Data are reported as the mean ± standard deviation of two independent experiments, each performed in triplicate. Significance was determined using the two-tailed Student’s <span class="html-italic">t</span>-test: * <span class="html-italic">p</span> ≤ 0.05; ** <span class="html-italic">p</span> ≤ 0.01; *** <span class="html-italic">p</span> ≤ 0.005 compared to the growth control.</p>
Full article ">Figure 5
<p>HPLC-HRESI-MS chromatogram of sub-fraction 13.6 in positive ionization mode.</p>
Full article ">Figure 6
<p><sup>1</sup>H NMR spectrum (CDCl<sub>3</sub>, 400 MHz) of sub-fraction 13.6.</p>
Full article ">Figure 7
<p>HSQC spectrum (CDCl<sub>3</sub>, 400 MHz) of sub-fraction 13.6 showing resonances for (<b>A</b>) H1 and (<b>B</b>) H2 vinyl protons.</p>
Full article ">Figure 8
<p>HSQC spectrum (CDCl<sub>3</sub>, 400 MHz) of sub-fraction 13.6 showing resonances for the aliphatic region.</p>
Full article ">Figure 9
<p><sup>1</sup>H–<sup>13</sup>C HMBC NMR spectrum (CDCl<sub>3</sub>, 400 MHz) of sub-fraction 13.6 showing resonances for the vinyl protons.</p>
Full article ">Figure 10
<p><sup>1</sup>H–<sup>13</sup>C HMBC NMR spectrum (CDCl<sub>3</sub>, 400 MHz) of sub-fraction 13.6 showing resonances for the aliphatic region.</p>
Full article ">Figure 11
<p>Transmission electron micrographs of untreated <span class="html-italic">M</span>. <span class="html-italic">tuberculosis</span> showing intact cell membranes. (<b>A</b>,<b>B</b>) Transverse section and (<b>C</b>) longitudinal section of <span class="html-italic">M</span>. <span class="html-italic">tuberculosis</span> cells. The outer membrane (OM), periplasm, and inner membrane/plasma membrane (IM) are visible in (<b>D</b>) (enlarged image of A). (<b>E</b>,<b>F</b>) Transverse and longitudinal sections of untreated <span class="html-italic">M</span>. <span class="html-italic">tuberculosis</span>; micrographs from [<a href="#B21-antibiotics-14-00179" class="html-bibr">21</a>]. Scale bar = 50–200 nm.</p>
Full article ">Figure 12
<p>Transmission electron micrographs of <span class="html-italic">M</span>. <span class="html-italic">tuberculosis</span> showing cell membrane damage after treatment with isoniazid (7.81 µg/mL). (<b>A</b>–<b>C</b>) <span class="html-italic">M</span>. <span class="html-italic">tuberculosis</span> after treatment with isoniazid and (<b>D</b>–<b>F</b>) enlarged images of (<b>A</b>–<b>C</b>) highlighting membrane damage. Black arrows—damaged cell wall. Scale bar = 100 nm.</p>
Full article ">Figure 13
<p>Transmission electron micrographs of <span class="html-italic">M</span>. <span class="html-italic">tuberculosis</span> showing cell membrane damage after treatment with sub-fraction 13.6 containing the predominant compound, gymnopilene (62.5 µg/mL), isolated from an ethanol extract of <span class="html-italic">G</span>. <span class="html-italic">junonius</span>. (<b>A</b>–<b>C</b>,<b>G</b>–<b>I</b>). <span class="html-italic">M</span>. <span class="html-italic">tuberculosis</span> after treatment with <span class="html-italic">G</span>. <span class="html-italic">junonius</span> sub-fractions 13.6–8 and (<b>D</b>–<b>F</b>) enlarged images of (<b>A</b>–<b>C</b>) highlighting membrane damage. Black arrows—damaged cell wall. Scale bar = 100–200 nm.</p>
Full article ">Figure 14
<p>Cytotoxicity screening of crude macrofungal extract, isolated fraction, and predominant compound gymnopilene in sub-fraction 13.6 after 48-h exposure to C3A (<b>A</b>) and Vero (<b>B</b>) cells. The percentages of live and dead cells were determined using the Hoechst 33242 and PI dual staining method. C: untreated control; M: melphalan. Data are reported as the mean ± standard deviation of three independent experiments, each performed in triplicate. Significance was determined using the two-tailed Student’s <span class="html-italic">t</span>-test: * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> ≤ 0.01, and *** <span class="html-italic">p</span> ≤ 0.005 compared to the untreated control.</p>
Full article ">Figure 15
<p>CellRox intensity observed after 48-h treatment of C3A cells with <span class="html-italic">G</span>. <span class="html-italic">junonius</span> extract, isolated fractions, and predominant compound gymnopilene in sub-fraction 13.6. Intracellular ROS accumulation was determined using the CellRox orange staining method. C: untreated control; M: melphalan (50 µM). Data are reported as the mean ± standard deviation of three independent experiments, each performed in triplicate. Significance was determined using the two-tailed Student’s <span class="html-italic">t</span>-test: * <span class="html-italic">p</span> ≤ 0.05, and *** <span class="html-italic">p</span> ≤ 0.005 compared to the untreated control.</p>
Full article ">Figure 16
<p>TMRE (<b>A</b>) and MitoTracker Green (<b>B</b>) intensity observed after 48-h treatment of C3A cells with <span class="html-italic">G</span>. <span class="html-italic">junonius</span> extract, isolated fraction, and predominant compound gymnopilene in sub-fraction 13.6. Mitochondrial function was determined using the TMRE/MTG staining method. C: untreated control; M: melphalan (50 µM); CCCP: carbonyl cyanide m-chlorophenylhydrazone (25 µM). Data are reported as the mean ± standard deviation of three independent experiments, each performed in triplicate. Significance was determined using the two-tailed Student’s <span class="html-italic">t</span>-test: * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> ≤ 0.01, and *** <span class="html-italic">p</span> ≤ 0.005 compared to the untreated control.</p>
Full article ">Figure 17
<p>Assessment of the effects of <span class="html-italic">G</span>. <span class="html-italic">junonius</span> extract on zebrafish embryos/larvae using a modified zebrafish embryotoxicity test. (<b>A</b>) Average number of live zebrafish embryos/larvae after treatment with <span class="html-italic">G</span>. <span class="html-italic">junonius</span> extract for 24, 48, and 72 hpe; (<b>B</b>) effect of <span class="html-italic">G</span>. <span class="html-italic">junonius</span> extract on zebrafish embryo hatching; (<b>C</b>) general morphological score of zebrafish embryos/larvae. C: control. Data are reported as the mean ± standard deviation of three independent experiments.</p>
Full article ">Figure 18
<p>Assessment of teratogenic effects of <span class="html-italic">G</span>. <span class="html-italic">junonius</span> extract on zebrafish embryos/larvae development. (<b>A</b>) Number of zebrafish embryos/larvae displaying malformations of the tail; (<b>B</b>) deformed body shape; (<b>C</b>) malformation of the heart; and (<b>D</b>) yolk deformation after 24, 48, and 72 hpe.</p>
Full article ">Figure 19
<p>Biological-activity-guided fractionation scheme to isolate the antimycobacterial compound(s) from a <span class="html-italic">G</span>. <span class="html-italic">junonius</span> ethanol extract, highlighting the fractions with activity. Masses are representative of an individual isolation procedure. * Percentage yield reported by Boukes et al. [<a href="#B16-antibiotics-14-00179" class="html-bibr">16</a>].</p>
Full article ">
25 pages, 2352 KiB  
Article
Meliponini Geopropolis Extracts Induce ROS Production and Death in Leishmania amazonensis Promastigotes and Axenic Amastigotes In Vitro
by Kamila M. Sette, Andreza R. Garcia, Luzineide W. Tinoco, Anderson S. Pinheiro and Igor A. Rodrigues
Biology 2025, 14(2), 162; https://doi.org/10.3390/biology14020162 - 6 Feb 2025
Viewed by 699
Abstract
Leishmania amazonensis, a cause of cutaneous leishmaniasis in Brazil, is a neglected disease with toxic and inconsistently effective treatments. The parasite’s survival depends on managing oxidative stress, making redox-regulating enzymes potential therapeutic targets. Geopropolis, a resinous product from native stingless bees, shows promising [...] Read more.
Leishmania amazonensis, a cause of cutaneous leishmaniasis in Brazil, is a neglected disease with toxic and inconsistently effective treatments. The parasite’s survival depends on managing oxidative stress, making redox-regulating enzymes potential therapeutic targets. Geopropolis, a resinous product from native stingless bees, shows promising antiparasitic effects. This study aims to evaluate the anti-L. amazonensis activity of geopropolis produced by Melipona bicolor, M. marginara, M. mondury, and M. quadrifasciata (two samples), targeting enzymes responsible for the parasite’s redox balance. Ethanol extracts of geopropolis produced by each bee (BCRL, MRGT, MNDY, MNDA(1), and MNDA(2), respectively) were analyzed for total phenolics and flavonoids. Promastigotes and axenic amastigotes were treated with various extract concentrations, and parasite viability was assessed using the resazurin reduction method. Cytotoxicity was tested on peritoneal macrophages, RAW 264.7, VERO cell lines (MTT assay), and erythrocytes (hemolysis assay). Additionally, mitochondrial dehydrogenase activity, reactive oxygen species (ROS) production, the inhibition of recombinant arginase, and autophagic activity were also evaluated in treated parasites. MRGT showed the highest levels of phenolics (762 mg GAE/g) and flavonoids (345 mg QE/g). MDRY was more effective against promastigote and axenic amastigote forms (IC50 = 168 and 19.7 µg/mL, respectively). MRGT showed lower cytotoxicity against RAW 264.7 and VERO (CC50 = 654 µg/mL and 981 µg/mL, respectively). Erythrocytes exhibited reduced sensitivity to MNDA(2) (HC50 = 710 µg/mL). The activity of dehydrogenases and LiARG was reduced by treating the parasites with the extracts following the induction of ROS and autophagic activity. These results highlight geopropolis extracts as a source of substances with anti-L. amazonensis activity capable of inducing oxidative stress on the parasite. Full article
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<p>Spectral profiles and chemometric analysis of geopropolis extracts. (<b>a</b>) One-dimensional <sup>1</sup>H NMR spectra of geopropolis extracts; (<b>b</b>) Principal Component Analysis (PCA) plot, showing the grouping of extracts based on their chemical profiles; (<b>c</b>) loadings plot highlighting the spectral regions (0.04 ppm buckets) that contribute most significantly to the differentiation of geopropolis extracts; (<b>d</b>,<b>e</b>) key spectral regions in the lower left (3.351 ppm) and upper right (3.390 ppm) identified as the primary contributors to the extracts’ discrimination. BCLR: geopropolis extract from <span class="html-italic">Melipona bicolor</span>; MDRY: geopropolis extract from <span class="html-italic">M. mondury</span>; MNDA(1): geopropolis extract from <span class="html-italic">M. quadrifasciata</span>; MNDA(2): geopropolis extract from <span class="html-italic">M. quadrifasciata</span>; MRGT: geopropolis extract from <span class="html-italic">M. marginata</span>.</p>
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<p>The effect of geopropolis extracts on the growth of <span class="html-italic">L. amazonensis</span> promastigotes. (<b>a</b>) Parasites treated with BCLR extract; (<b>b</b>) Parasites treated with MDRY extract; (<b>c</b>) Parasites treated with MNDA(1) extract; (<b>d</b>) Parasites treated with MNDA(2) extract; (<b>e</b>) Parasites treated with MRGT extract; and (<b>f</b>) Parasites treated with SbIII (reference drug). BCLR: geopropolis extract from <span class="html-italic">Melipona bicolor</span>; MDRY: geopropolis extract from <span class="html-italic">M. mondury</span>; MNDA(1): geopropolis extract from <span class="html-italic">M. quadrifasciata</span>; MNDA(2): geopropolis extract from <span class="html-italic">M. quadrifasciata;</span> MRGT: geopropolis extract from <span class="html-italic">M. marginata</span>; and SbIII: antimony potassium tartrate trihydrate. The experiments were performed in triplicate, and the results are expressed as mean ± standard error.</p>
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<p>The effects of treatment with geopropolis extracts on mitochondrial dehydrogenases in <span class="html-italic">L. amazonensis</span> promastigotes after treatment with the extracts at concentrations corresponding to the IC<sub>50</sub> and 2×(IC<sub>50</sub>). (<b>a</b>) Parasites treated with geopropolis extracts for 4 h; (<b>b</b>) Parasites treated with geopropolis extracts for 12 h; (<b>c</b>) Parasites treated with geopropolis extracts for 24 h; and (<b>d</b>) Parasites treated with geopropolis extracts for 48 h. CNTL: negative control (untreated); BCLR: geopropolis extract from <span class="html-italic">Melipona bicolor</span>; MDRY: geopropolis extract from <span class="html-italic">M. mondury</span>; MNDA(1): geopropolis extract from <span class="html-italic">M. quadrifasciata</span>; MNDA(2): geopropolis extract from <span class="html-italic">M. quadrifasciata;</span> MRGT: geopropolis extract from <span class="html-italic">M. marginata</span>. The bars in the graphs represent the mean values derived from two independent experiments, each performed in triplicate. Statistical analysis was performed using one-way ANOVA followed by Tukey’s post-test, comparing each treatment group with the control (untreated cultures). Significance levels are denoted as follows: * <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 and **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p><span class="html-italic">Li</span>ARG inhibition activity of geopropolis extracts. Concentration–response bar graph of enzyme inhibition by (<b>a</b>) BCLR; (<b>b</b>) MDRY; (<b>c</b>) MNDA(1); (<b>d</b>) MNDA(2); (<b>e</b>) MRGT; (<b>f</b>) SbIII; and (<b>g</b>) quercetin. (<b>h</b>) Half-maximum enzyme inhibition activities of geopropolis extracts, SbIII, and quercetin. BCLR: geopropolis extract from <span class="html-italic">Melipona bicolor</span>; MDRY: geopropolis extract from <span class="html-italic">M. mondury</span>; MNDA(1): geopropolis extract from <span class="html-italic">M. quadrifasciata</span>; MNDA(2): geopropolis extract from <span class="html-italic">M. quadrifasciata;</span> MRGT: geopropolis extract from <span class="html-italic">M. marginata</span>; SbIII: antimony potassium tartrate trihydrate; n.a.: not active. The bars in the graphs and the values in the table represent the mean values ± standard error obtained from three independent experiments, with each experiment being conducted in triplicate. Different letters in (<b>h</b>) indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) between samples through statistical analysis using one-way ANOVA with Tukey’s multiple-comparisons test.</p>
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<p>Effect of geopropolis treatment on intracellular ROS production in <span class="html-italic">L. amazonensis</span>. Promastigotes were treated with IC<sub>50</sub> or 2×IC<sub>50</sub> concentrations of each extract or with AAPH (1 mM) as a control. (<b>a</b>) Parasites treated with geopropolis extracts for 4 h; (<b>b</b>) Parasites treated with geopropolis extracts for 12 h; (<b>c</b>) Parasites treated with geopropolis extracts for 24 h; and (<b>d</b>) Parasites treated with geopropolis extracts for 48 h. CNTL: negative control (untreated); BCLR: geopropolis extract from <span class="html-italic">Melipona bicolor</span>; MDRY: geopropolis extract from <span class="html-italic">M. mondury</span>; MNDA(1): geopropolis extract from <span class="html-italic">M. quadrifasciata</span>; MNDA(2): geopropolis extract from <span class="html-italic">M. quadrifasciata;</span> MRGT: geopropolis extract from <span class="html-italic">M. marginata</span>; AAPH: Parasites exposed to 2,2′-azobis(2-methylpropionamidine) dihydrochloride (oxidative stress inducer). The bars in the graphs represent the mean values obtained from two independent experiments, with each experiment conducted in triplicate. Statistical analysis was performed using one-way ANOVA followed by Tukey’s post-test, comparing each treatment group with the control (untreated cultures). Significance levels are denoted as follows: * <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, and **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Effect of geopropolis extracts on autophagic activity in <span class="html-italic">L. amazonensis</span>. Promastigotes were treated with IC<sub>50</sub> or 2×(IC<sub>50</sub>) concentrations of each extract. Non-treated parasites were used as controls. (<b>a</b>) Parasites treated with geopropolis extracts for 4 h; (<b>b</b>) Parasites treated with geopropolis extracts for 12 h; (<b>c</b>) Parasites treated with geopropolis extracts for 24 h; and (<b>d</b>) Parasites treated with geopropolis extracts for 48 h. CNTL: negative control (untreated); BCLR: geopropolis extract from <span class="html-italic">Melipona bicolor</span>; MDRY: geopropolis extract from <span class="html-italic">M. mondury</span>; MNDA(1): geopropolis extract from <span class="html-italic">M. quadrifasciata</span>; MNDA(2): geopropolis extract from <span class="html-italic">M. quadrifasciata;</span> MRGT: geopropolis extract from <span class="html-italic">M. marginata</span>. The bars in the graphs represent the mean values obtained from two independent experiments, with each experiment conducted in triplicate. Statistical analysis was performed using one-way ANOVA followed by Tukey’s post-test, comparing each treatment group with the control (untreated cultures). Significance levels are as follows: * <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, and **** <span class="html-italic">p</span> &lt; 0.0001. Therefore, no comparison was performed in this case, as the purpose was to assess the relative impact of the treatments compared to the untreated control.</p>
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<p>Effects of geopropolis extract treatment on non-infected peritoneal macrophages. (<b>a</b>) BCLR: geopropolis extract from <span class="html-italic">Melipona bicolor</span>; (<b>b</b>) MDRY: geopropolis extract from <span class="html-italic">M. mondury</span>; (<b>c</b>) MNDA(1): geopropolis extract from <span class="html-italic">M. quadrifasciata</span>; (<b>d</b>) MNDA(2): geopropolis extract from <span class="html-italic">M. quadrifasciata;</span> (<b>e</b>) Sb III: antimony potassium tartrate trihydrate. The bars in the graphs represent the mean values obtained from two independent experiments, with each experiment conducted in duplicate. Statistical analysis was performed using one-way ANOVA followed by Tukey’s post-test, comparing each treatment group with the control (untreated cultures). Significance levels are as follows: * <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, and **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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17 pages, 5268 KiB  
Article
Anti-Proliferative Activity of Ethylenediurea Derivatives with Alkyl and Oxygen-Containing Groups as Substituents
by Maxim Oshchepkov, Leonid Kovalenko, Antonida Kalistratova, Galina Sherstyanykh, Evgenia Gorbacheva, Alexey Antonov, Nisreen Khadour and Mikhail Akimov
Biomedicines 2025, 13(2), 316; https://doi.org/10.3390/biomedicines13020316 - 29 Jan 2025
Viewed by 592
Abstract
Background/Objectives: Natural cytokinins are a promising group of anti-tumor agents. In this work, we hypothesized that modification of the ethylenediurea moiety with alkyl and oxygen-containing groups could be a way to enhance the anti-proliferative properties of the molecule. Methods: Ten new [...] Read more.
Background/Objectives: Natural cytokinins are a promising group of anti-tumor agents. In this work, we hypothesized that modification of the ethylenediurea moiety with alkyl and oxygen-containing groups could be a way to enhance the anti-proliferative properties of the molecule. Methods: Ten new analogs of ethylenediurea with these substitutions were tested for anti-proliferative activity in the human cancer cell lines MDA-MB-231 (breast cancer), A-375 (melanoma), and U-87 MG (glioblastoma) during 72 h of incubation using resazurin test and evaluated the substances receptor using molecular docking. Results: The compound with the carbamate link and ethylene substituent on the phenyl ring inhibited proliferation in these models by 70–90% without cytotoxic effects. The compound did not affect the viability of the immortalized fibroblast cell line Bj-5ta. The compound was also able to enhance the action of doxorubicin and temozolomide by about 20%. According to the molecular modeling data, the probable receptor target for the synthesized compound was the A2AR adenosine receptor. Conclusions: The results obtained on the ethylenediurea analogs with ethyl substituent in the aromatic ring are promising for the development of novel anticancer therapeutics. Full article
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<p>The structures of ortho-tropolin riboside (<b>A</b>), forchlorfenuron (<b>B</b>), and ethylenediurea-based aryl carbamate variant (<b>C</b>).</p>
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<p>The anti-proliferative effect of the most active compounds, <b>6</b> (<b>A</b>) and <b>8</b> (<b>B</b>), on the MDA-MB-231, U-87MG, A-375, and SH-SY5Y cells during short-term incubation (24 h). Negative control cells (100% viability) were treated with 0.5% DMSO. Positive control cells (0% cell proliferation) were incubated in the cell culture medium without serum. Resazurin test data, amalgamated data of N = 3 experiments, mean ± standard error. *, a statistically significant difference from the control without the substance, <span class="html-italic">p</span> &lt; 0.05 in ANOVA with the Tukey post-test.</p>
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<p>The anti-proliferative effect of the most active compound, <b>6</b>, on the MDA-MB-231 (<b>A</b>), A-375 (<b>B</b>), and U-87 MG (<b>C</b>) cells during long-term incubation (72 h). Negative control cells (100% viability) were treated with 0.5% DMSO. Positive control cells (0% cell proliferation) were incubated in the cell culture medium without serum. Resazurin test data, amalgamated data of N = 3 experiments, mean ± standard error. *, a statistically significant difference from the control without the substance, <span class="html-italic">p</span> &lt; 0.05 in ANOVA with the Tukey post-test.</p>
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<p>Cell death induction by compound <b>6</b> for the MDA-MB-231 (<b>A</b>), A-375 (<b>B</b>), and U-87 MG (<b>C</b>) cell line. Negative control cells (100% viability) were treated with 0.5% DMSO. Positive control cells (100% cell death) were treated with 3.6 μL of 50% Triton X-100 in ethanol per 200 μL of the cell culture medium. LDH test data, 72 h incubation time. Amalgamated data of <span class="html-italic">N</span> = 3 experiments.</p>
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<p>The effect of compound <b>6</b> on the viability of the human immortalized fibroblast Bj-5ta cell line (<b>A</b>) and HEK 293 cell line (<b>B</b>). Negative control cells (100% viability) were treated with 0.5% DMSO. Positive control cells (100% cell death) were treated with 3.6 μL of 50% Triton X-100 in ethanol per 200 μL of the cell culture medium, 24 and 72 h incubation time. Resazurin test data. Mean ± standard error (<span class="html-italic">N</span> = 3 experiments).</p>
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<p>Molecular docking results for adenosine (green) and compound <b>6</b> (cyan) in the active site of the activated A2AR receptor. Red, oxygen; white, hydrogen; blue, nitrogen. AutoDock Vina data; hydrogen bonds are shown in yellow.</p>
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<p>The effect of compound <b>6</b> on doxorubicin activity for the MDA-MB-231 (<b>A</b>,<b>B</b>) and U-87 MG (<b>C</b>,<b>D</b>) cell lines. Negative control cells (100% viability) were treated with 0.5% DMSO. Positive control cells (100% cell death) were treated with 3.6 μL of 50% Triton X-100 in ethanol per 200 μL of the cell culture medium. Note: 72 h incubation time, resazurin (<b>A</b>,<b>C</b>) and LDH (<b>B</b>,<b>D</b>) test data, mean ± standard error (N = 3 amalgamated experiments), <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>The effect of compound <b>6</b> on temozolomide activity for the U-87 MG cell line. Negative control cells (100% viability) were treated with 0.5% DMSO. Positive control cells (100% cell death) were treated with 3.6 μL of 50% Triton X-100 in ethanol per 200 μL of the cell culture medium. Note: 72 h incubation time, resazurin test data, mean ± standard error (N = 3 amalgamated experiments) * Statistically significant difference from the control without the substance in the ANOVA with the Dunnett’s post-test, <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>Chemical synthesis of EDU derivatives (<b>1</b>–<b>10</b>).</p>
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17 pages, 3136 KiB  
Article
Two-Step Cell Death Induction by the New 2-Arachidonoyl Glycerol Analog and Its Modulation by Lysophosphatidylinositol in Human Breast Cancer Cells
by Mikhail G. Akimov, Natalia M. Gretskaya, Evgenia I. Gorbacheva, Nisreen Khadour, Galina D. Sherstyanykh and Vladimir V. Bezuglov
Int. J. Mol. Sci. 2025, 26(2), 820; https://doi.org/10.3390/ijms26020820 - 19 Jan 2025
Viewed by 375
Abstract
2-arachnadoyl glycerol (2-AG) is one of the most common endocannabinoid molecules with anti-proliferative, cytotoxic, and pro-proliferative effects on different types of tumors. Typically, it induces cell death via cannabinoid receptor 1/2 (CB1/CB2)-linked ceramide production. In breast cancer, ceramide is counterbalanced by the sphingosine-1-phosphate, [...] Read more.
2-arachnadoyl glycerol (2-AG) is one of the most common endocannabinoid molecules with anti-proliferative, cytotoxic, and pro-proliferative effects on different types of tumors. Typically, it induces cell death via cannabinoid receptor 1/2 (CB1/CB2)-linked ceramide production. In breast cancer, ceramide is counterbalanced by the sphingosine-1-phosphate, and thus the mechanisms of 2-AG influence on proliferation are poorly understood. We evaluated the mechanism of the anti-proliferative action by 2-AG and the influence of lysophaosphatidylinositol (LPI) on it in six human breast cancer cell lines of different tumor degree (MCF-10A, MCF-7, BT-474, BT-20, SK-BR-3, and MDA-MB-231) using resazurin test, inhibitor, blocker, and anti-oxidant analysis, and siRNA interference. To avoid acyl migration in 2-AG, we replaced it with the analog 2-arachidonoyl-1,3-difluoropropanol (2-ADFP) newly synthesized by us. Using a molecular docking approach, we showed that at the CB2 receptor, 2-ADFP and 2-AG were very close to each other. However, 2-ADFP demonstrated a stronger affinity towards CB1 in the antagonist-bound conformation. 2-ADFP was anti-proliferative in all the cell lines tested. The toxicity of 2-ADFP was enhanced by LPI. 2-ADFP activity was reduced or prevented by the CB2 and vanilloid receptor 1 (TRPV1) blockers, inositol triphosphate receptor, CREB, and cyclooxygenase 2 inhibitor, and by anti-oxidant addition. Together with the literature data, these results indicate CB2- and TRPV1-dependent COX-2 induction with concomitant cell death induction by the oxidized molecule’s metabolites. Full article
(This article belongs to the Special Issue Breast Cancers: From Molecular Basis to Therapy)
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<p>The structure of 2-AG (<b>A</b>) and 2-ADFP (<b>B</b>).</p>
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<p>Molecular docking of 2-ADFP in the active site of the CB1 (<b>A</b>) and CB2 (<b>B</b>) receptors. Cyan, 2-ADPG; green, 2-AG.</p>
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<p>CB2 receptor role in the DU145 cell line response to the 2-ADFP action. (<b>A</b>) The influence of 2-ADPG concentration on cell viability; (<b>B</b>) the effect of the CB2 receptor knockdown on the pro-proliferative 2-ADFP activity; (<b>C</b>) the siRNA knockdown of the CB2 receptor in the DU 145 cell line. Incubation time 72 h, resazurin test, mean ± standard error (N = 4 experiments). *, a statistically significant difference from the cells transfected with the scrambled siRNA, <span class="html-italic">p</span> ≤ 0.05, ANOVA with Holm–Sidak post-test (<b>B</b>) and Student’s <span class="html-italic">t</span>-test (<b>C</b>).</p>
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<p>The effect of 2-ADFP on breast cancer cell line proliferation. Incubation time 72 h, resazurin test, mean ± standard error (<span class="html-italic">N</span> = 4 experiments). (<b>A</b>) MCF-10A, (<b>B</b>) MCF-7, (<b>C</b>) BT-474, (<b>D</b>) SK-BR-3, (<b>E</b>) BT-20, and (<b>F</b>) MDA-MB-231.</p>
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<p>The effect of 2-ADFP combination with LPI on breast cancer cell line viability. Incubation time 72 h, resazurin test, mean ± standard error (<span class="html-italic">N</span> = 4 experiments). (<b>A</b>) MCF-10A, (<b>B</b>) MCF-7, (<b>C</b>) BT-474, (<b>D</b>) SK-BR-3, (<b>E</b>) BT-20, and (<b>F</b>) MDA-MB-231. *, a statistically significant difference from 2-ADFP alone, <span class="html-italic">p</span> ≤ 0.05, ANOVA with Holm–Sidak post-test; **, a statistically significant difference from the non-treated control, <span class="html-italic">p</span> ≤ 0.05, ANOVA with Holm–Sidak post-test.</p>
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<p>The effect of receptor blockers on the effect of 2-ADFP (EC<sub>50</sub>-EC<sub>70</sub>) combination with LPI (5 µM) on breast cancer cell line viability. The following substances and concentrations were used: CB1, SR 141716A (100 nM); CB2, SR 144528 (100 nM); GPR55, ML-193 (2 µM); GPR18, PSB CB5 (3 µM); and TRPV1, capsazepine (5 µM). Incubation time 72 h, resazurin test, mean ± standard error (<span class="html-italic">N</span> = 4 experiments). (<b>A</b>) MCF-10A, (<b>B</b>) MCF-7, (<b>C</b>) BT-474, (<b>D</b>) SK-BR-3, (<b>E</b>) BT-20, and (<b>F</b>) MDA-MB-231. *, a statistically significant difference from 2-ADFP alone, <span class="html-italic">p</span> ≤ 0.05, ANOVA with Holm–Sidak post-test.</p>
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<p>The participation of the COX-2 in the 2-ADFP cytotoxicity. (<b>A</b>) MDA-MB-231; (<b>B</b>) BT-20. Incubation time 72 h, resazurin test, mean ± standard error (<span class="html-italic">N</span> = 4 experiments). *, a statistically significant difference from 2-ADFP without inhibitor, <span class="html-italic">p</span> ≤ 0.05, ANOVA with Holm–Sidak post-test.</p>
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<p>Signaling during the CB2/COX-2-dependent cell death induction by 2-AG.</p>
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22 pages, 1815 KiB  
Article
Revisiting the Synergistic In Vitro Antimicrobial and Antibiofilm Potential of Chlorhexidine Gluconate and Cetrimide in Combination as an Antiseptic and Disinfectant Agent
by Diamond Jain, Rimjhim Gupta, Rashmi Mehta, Pratheesh N. Prabhakaran, Deva Kumari, Kulpreet Bhui and Deepa Murali
Microbiol. Res. 2025, 16(1), 16; https://doi.org/10.3390/microbiolres16010016 - 12 Jan 2025
Viewed by 508
Abstract
Chlorhexidine and cetrimide are often used as antiseptics and disinfectants. While their individual activities are well-documented, their synergism has rarely been evaluated. Here, we attempted to evaluate the antimicrobial and antibiofilm effects of the combination of these two antimicrobial agents against two environment [...] Read more.
Chlorhexidine and cetrimide are often used as antiseptics and disinfectants. While their individual activities are well-documented, their synergism has rarely been evaluated. Here, we attempted to evaluate the antimicrobial and antibiofilm effects of the combination of these two antimicrobial agents against two environment isolates, viz., P. aeruginosa and S. aureus. The synergism was assayed by determining the fractional inhibitory concentrations, while the antibiofilm effects were determined using crystal violet staining and the resazurin assay. Further, the effects on the biofilms were visualized using brightfield and confocal laser scanning microscopy. Our results show that the combination of these antimicrobials resulted in synergistic inhibition of P. aeruginosa growth. When tested at concentrations below the individual MICs (one-quarter of the MICs), the combination was able to significantly reduce the adherence of S. aureus biofilms to a polystyrene surface, while no effect was observed for P. aeruginosa. The combination was also able to significantly reduce the viability of pre-formed biofilms of both bacteria, thereby showing its antibiofilm potential. Next, we evaluated the performance of this combination against a wide array of micro-organisms. This fixed-dose combination formulation exhibited a significant reduction in the viability of an array of clinically relevant micro-organisms, including ESKAPE pathogens, Mycobacterium sp., MRSA, Leptospira, Candida sp., norovirus and adenovirus. Overall, it can be inferred that the combination of chlorhexidine and cetrimide is a potential biocide that continues to be relevant for use in antisepsis and disinfection against infection-causing pathogens. Full article
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<p>Effect of different concentrations of chlorhexidine gluconate (CHG) and cetrimide (CTR) on (<b>a</b>) specific biofilm formation of <span class="html-italic">S. aureus</span> and (<b>b</b>) the adhesion index of <span class="html-italic">S. aureus</span>. (<b>c</b>) Crystal violet-stained biofilms in the presence of 0.25 mg/L CHG and 2 mg/L CTR and their combination (magnification: 10×, Black line represents scale bar: 400 µM).</p>
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<p>Z-stack images (100 µM × 100 µM) of CLSM-based assessment of the effects of CHG and CTR on the biofilm formation ability of <span class="html-italic">S. aureus</span> showing (<b>a</b>) <span class="html-italic">the</span> control <span class="html-italic">S. aureus</span> biofilm and (<b>b</b>) <span class="html-italic">S. aureus</span> biofilms in the presence of 0.25 mg/L CHG, (<b>c</b>) in the presence of 2 mg/L CTR and (<b>d</b>) in the presence of the CHG-CTR combination. (<b>e</b>) Bar-graph depiction of the decreased RFUs of Syto9 in the presence of CHG and CTR.</p>
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<p>Surface representations using columns to depict the changes in the relative fluorescence units of resazurin after treatment of the pre-formed biofilms of (<b>a</b>) <span class="html-italic">P. aeruginosa</span> and (<b>b</b>) <span class="html-italic">S. aureus</span> with different concentrations of chlorhexidine gluconate (CHG) and cetrimide (CTR).</p>
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<p>Z-stacked CLSM images of effects of CHG and CTR on the pre-formed biofilms of (<b>a</b>) <span class="html-italic">P. aeruginosa</span> and (<b>b</b>) <span class="html-italic">S. aureus</span> showing Syto9 (green channel) and PI (red channel). Biofilm viability was estimated for (<b>c</b>) <span class="html-italic">P. aeruginosa</span> and (<b>d</b>) <span class="html-italic">S. aureus</span> using the Syto9/PI ratio. Syto9 stains total cells while PI stains dead cells only; therefore, the higher the ratio, the more viable the biofilms.</p>
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20 pages, 1735 KiB  
Article
Chemical Characterization and Differential Lipid-Modulating Effects of Selected Plant Extracts from Côa Valley (Portugal) in a Cell Model for Liver Steatosis
by Ricardo Amorim, Mário Pedro Marques, Catarina Melim, Carla Varela, Vilma A. Sardão, José Teixeira, Maria Inês Dias, Lillian Barros, Paulo J. Oliveira and Célia Cabral
Pharmaceuticals 2025, 18(1), 39; https://doi.org/10.3390/ph18010039 - 1 Jan 2025
Viewed by 573
Abstract
Background/Objectives: Côa Valley, located in the northeast of Portugal, harbors more than 500 medicinal plant species. Among them, four species stand out due to their traditional uses: Equisetum ramosissimum Desf. (hemorrhages, urethritis, hepatitis), Rumex scutatus L. subsp. induratus (Boiss. and Reut.) Malag. (inflammation, [...] Read more.
Background/Objectives: Côa Valley, located in the northeast of Portugal, harbors more than 500 medicinal plant species. Among them, four species stand out due to their traditional uses: Equisetum ramosissimum Desf. (hemorrhages, urethritis, hepatitis), Rumex scutatus L. subsp. induratus (Boiss. and Reut.) Malag. (inflammation, constipation), Geranium purpureum Vill., and Geranium lucidum L. (pain relief, gastric issues). Given their rich ethnomedicinal history, we evaluated their protective effects on an in vitro model of metabolic dysfunction-associated steatotic liver disease (MASLD). Methods: Decoction (D) and hydroalcoholic (EtOH80%) extracts were prepared and chemically characterized. Their safety profile and effects on lipid accumulation were assessed in palmitic acid (PA)-treated HepG2 cells using resazurin, sulforhodamine B, and Nile Red assays. Results: Chemical analysis revealed diverse phenolic compounds, particularly kaempferol derivatives in E. ramosissimum. All extracts showed minimal cytotoxicity at 25–50 µg/mL. At 100 µg/mL, only E. ramosissimum extracts maintained high cell viability. In the lipotoxicity model, E. ramosissimum decoction demonstrated the most potent effect, significantly reducing PA-induced neutral lipid accumulation in a dose-dependent manner, while other extracts showed varying degrees of activity. Conclusions: These findings highlight E. ramosissimum’s decoction, rich in kaempferol derivatives, as particularly effective in reducing lipid accumulation in this MASLD cell model while also providing a comprehensive characterization of traditionally used plants from the Côa Valley region. Full article
(This article belongs to the Section Natural Products)
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<p>General aspect (<b>A</b>) and strobilus, cone-like structure that produces spores at the tips of a stem (<b>B</b>) of <span class="html-italic">E. ramosissimum</span>. Edible leaves (<b>C</b>) and pink-colored fruits (<b>D</b>) of <span class="html-italic">R. induratus</span>. Close-up on the flower, leaves (<b>E</b>), and ripen fruits (<b>F</b>) of <span class="html-italic">G. purpureum</span>. Flowers, leaves (<b>G</b>), and immature fruits of <span class="html-italic">G. lucidum</span> (<b>H</b>). Images (<b>A</b>–<b>D</b>,<b>G</b>,<b>H</b>) were obtained and adapted from [<a href="#B28-pharmaceuticals-18-00039" class="html-bibr">28</a>]. Images (<b>E</b>,<b>F</b>) were obtained and adapted from [<a href="#B29-pharmaceuticals-18-00039" class="html-bibr">29</a>]. (<b>I</b>) Chemical structures of the most relevant phenolic compounds identified through HPLC–DAD–ESI/MS in <span class="html-italic">E. ramosissimum, Geranium</span> spp., and <span class="html-italic">R. induratus</span> from Côa Valley (Portugal). Chemical structures were designed in the <span class="html-italic">ChemDraw</span> Software v.14.0.</p>
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<p>Effects of EtOH80% and decoction extracts of plants originating from the Côa Valley on cell metabolic activity. (<b>A</b>) Human cells study experimental timeline. The metabolic activity of HepG2 cells, in percentage of control, following extract incubation in three different concentrations (25, 50, and 100 µg/mL). Each graph contains the results for extract incubation (white bars) and for PA following extract preincubation (grey bars). The black bar represents PA at 100 µM without extract preincubation for comparison purposes. (<b>B</b>) EtOH80% and (<b>C</b>) D extract of <span class="html-italic">G. purpureum</span>, (<b>D</b>) EtOH80% and (<b>E</b>) D extract of <span class="html-italic">G. lucidum</span>, (<b>F</b>) EtOH80% and (<b>G</b>) D extract of E. ramosissimum, and (<b>H</b>) EtOH80% and (<b>I</b>) D extract of R. induratus. Statistical significance was compared using two-way ANOVA followed by Tukey post hoc test for multiple comparisons (* <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; 0.0005, vs. untreated cells); (<sup>#</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01, <sup>###</sup> 0.0005 vs. PA-treated cells).</p>
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<p>Effects of EtOH80% and decoction (<b>D</b>) extracts of plants originating from the Côa Valley on cell mass. The cell mass of HepG2 cells, in percentage of control, following extract incubation in three different concentrations (25, 50, and 100 µg/mL). Each graph contains the results for extract incubation (white bars) and for PA following extract preincubation (grey bars). The black bar represents PA at 100 µM without extract preincubation for comparison purposes. (<b>A</b>) EtOH80% and (<b>B</b>) D extract of <span class="html-italic">G. purpureum</span>, (<b>C</b>) EtOH80% and (<b>D</b>) D extract of <span class="html-italic">G. lucidum</span>, (<b>E</b>) EtOH80% and (<b>F</b>) D extract of <span class="html-italic">E. ramosissimum,</span> (<b>G</b>) EtOH80% and (<b>H</b>) D extract of <span class="html-italic">R. induratus</span>. Statistical significance was compared using two-way ANOVA followed by Tukey post hoc test for multiple comparisons (* <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; 0.0005, vs. untreated cells); (<sup>#</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01, <sup>####</sup> <span class="html-italic">p</span> &lt; 0.0001 vs. PA-treated cells).</p>
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<p>Effects of EtOH80% and decoction extracts of plants originating from the Côa Valley on cell lipid accumulation. The neutral lipid accumulation of HepG2 cells, in percentage of control and normalized for cell mass results, following extract incubation in three different concentrations (25, 50, and 100 µg/mL). Each graph contains the results for extract incubation (white bars) and for PA following extract preincubation (grey bars). The black bar represents PA at 100 µM without extract preincubation for comparison purposes. (<b>A</b>) EtOH80% and (<b>B</b>) D extract of <span class="html-italic">G. purpureum</span>, (<b>C</b>) EtOH80% and (<b>D</b>) D extract of <span class="html-italic">G. lucidum</span>, (<b>E</b>) EtOH80% and (<b>F</b>) D extract of E. ramosissimum, (<b>G</b>) EtOH80% and (<b>H</b>) D extract of R. induratus. Statistical significance was compared using two-way ANOVA followed by Tukey post hoc test for multiple comparisons (* <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; 0.0005, vs. untreated cells); (<sup>#</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01vs. PA-treated cells).</p>
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22 pages, 2584 KiB  
Article
Investigation of Impact of Oxidative Stress on Human Periodontal Ligament Cells Exposed to Static Compression
by Samira Hosseini, Julia Diegelmann, Matthias Folwaczny, Iris Frasheri, Andrea Wichelhaus, Hisham Sabbagh, Corrina Seidel, Uwe Baumert and Mila Janjic Rankovic
Int. J. Mol. Sci. 2024, 25(24), 13513; https://doi.org/10.3390/ijms252413513 - 17 Dec 2024
Viewed by 589
Abstract
Oxidative stress (OS) is a common feature of many inflammatory diseases, oral pathologies, and aging processes. The impact of OS on periodontal ligament cells (PDLCs) in relation to oral pathologies, including periodontal diseases, has been investigated in different studies. However, its impact on [...] Read more.
Oxidative stress (OS) is a common feature of many inflammatory diseases, oral pathologies, and aging processes. The impact of OS on periodontal ligament cells (PDLCs) in relation to oral pathologies, including periodontal diseases, has been investigated in different studies. However, its impact on orthodontic tooth movement (OTM) remains poorly understood. This study used an in vitro model with human PDLCs previously exposed to H2O2 to investigate the effects of OS under a static compressive force which simulated the conditions of OTM. Human PDLCs were treated with varying concentrations of H2O2 to identify sub-lethal doses that affected viability minimally. To mimic compromised conditions resembling OTM under OS, the cells were pretreated with the selected H2O2 concentrations for 24 h. Using an in vitro loading model, a static compressive force (2 g/cm2) was applied for an additional 24 h. The cell viability, proliferation, and cytotoxicity were evaluated using live/dead and resazurin assays. Apoptosis induction was assessed based on caspase-3/7 activity. The gene expression related to bone remodeling (RUNX2, TNFRSF11B/OPG, BGLAP), inflammation (IL6, CXCL8/IL8, PTGS2/COX2), apoptosis (CASP3, CASP8), and autophagy (MAP1LC3A/LC3, BECN1) was analyzed using RT-qPCR. This study suggests an altering effect of previous OS exposure on static-compression-related mechanosensing. Further research is needed to fully elucidate these mechanisms. Full article
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<p>Effect of different hydrogen peroxide concentrations on apoptosis induction (upper row) and cell viability (lower row) in hPDLCs. Upper row: Apoptosis detection using CellEvent™ Caspase-3/7 Detection Reagent (green fluorescence; yellow arrows) in hPDLCs exposed to different H<sub>2</sub>O<sub>2</sub> concentrations (0 µM to 500 µM). Insert: Area with higher magnification shows green fluorescence. Lower row: Live/dead cell staining of hPDLCs treated with the different H<sub>2</sub>O<sub>2</sub> concentrations. Green cells indicate viability, whereas dead cells are either detached or stained red (yellow arrows). Fluorescence microscopy was carried out using an EVOS<sup>®</sup><span class="html-italic">fl</span> microscope (Invitrogen, Carlsbad, CA, USA) (Scale bar: 200 µm).</p>
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<p>Percentage reduction in resazurin. (<b>a</b>) Cytotoxic effect of H<sub>2</sub>O<sub>2</sub>; (<b>b</b>) cell viability calculated as normalized resazurin reduction relative to that in the control group. 50 µM, 100 µM, and 200 µM were identified as the lowest concentrations of H<sub>2</sub>O<sub>2</sub> that showed a cytotoxic effect, however, without a pronounced effect on cell viability.</p>
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<p>Effect of OS induction alone on gene expression immediately after H<sub>2</sub>O<sub>2</sub> incubation (“direct”) and 24 h post-incubation (“recovery”). (<b>a</b>) Experimental design. (<b>b</b>–<b>k</b>) RT-qPCR results for genes related to autophagy ((<b>b</b>,<b>c</b>) <span class="html-italic">MAP1LC3A</span>/<span class="html-italic">LC3</span>, <span class="html-italic">BECN1</span>), apoptosis ((<b>d</b>,<b>e</b>), <span class="html-italic">CASP3</span>, <span class="html-italic">CASP8</span>), inflammation ((<b>f</b>,<b>h</b>), <span class="html-italic">CXCL2</span>/<span class="html-italic">IL8</span>, <span class="html-italic">IL6</span>, <span class="html-italic">PTGS2</span>/<span class="html-italic">COX2</span>), and bone remodeling ((<b>i</b>,<b>k</b>), <span class="html-italic">RUNX2</span>, <span class="html-italic">P2RX7</span>, <span class="html-italic">TNFRSF11B</span>/<span class="html-italic">OPG</span>). For each genetic locus, the gene expression directly after H<sub>2</sub>O<sub>2</sub> exposure (left panel, “direct”) and after an additional 24 h of cultivation in H<sub>2</sub>O<sub>2</sub>-free cell culture medium (right panel, “recovery”) is depicted. Adjusted <span class="html-italic">p</span>-values (<span class="html-italic">p</span><sub>adj</sub>.) based on multiple comparisons within each group are reported: *, <span class="html-italic">p</span><sub>adj</sub>. &lt; 0.05; **, <span class="html-italic">p</span><sub>adj</sub>. &lt; 0.01; ***, <span class="html-italic">p</span><sub>adj</sub>. &lt; 0.001.</p>
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<p>Expression of genes and metabolites related to inflammation, bone remodeling, apoptosis, and autophagy in mechanically stimulated cells with and without previous H<sub>2</sub>O<sub>2</sub> stimulation. (<b>a</b>) Experimental setup: The control group (Ctrl) received neither H<sub>2</sub>O<sub>2</sub> nor compression stimulation. The compression group (WAB) was stimulated with static compression (2 g/cm<sup>2</sup>) after 24 h of no stimulation. The H<sub>2</sub>O<sub>2</sub>/WAB group was stimulated for 24 h with 50 µM, 100 µM, or 200 µM H<sub>2</sub>O<sub>2</sub> followed by 24 h of static compression at 2 g/cm<sup>2</sup>. (<b>b</b>–<b>f</b>) Expression of inflammation-related genes and metabolites and (<b>g</b>–<b>i</b>) genes related to bone remodeling is reported. Adjusted <span class="html-italic">p</span>-values (<span class="html-italic">p</span><sub>adj</sub>.) based on multiple comparisons within each group are reported: *, <span class="html-italic">p</span><sub>adj</sub>. &lt; 0.05; **, <span class="html-italic">p</span><sub>adj</sub>. &lt; 0.01; ***, <span class="html-italic">p</span><sub>adj</sub>. &lt; 0.001.</p>
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<p>RT-qPCR results for autophagy (<b>a</b>,<b>b</b>)- and apoptosis (<b>c</b>,<b>d</b>)-related genes. Adjusted <span class="html-italic">p</span>-values based on multiple comparisons between each experimental treatment are shown. The groups are the same as in <a href="#ijms-25-13513-f004" class="html-fig">Figure 4</a>. Adjusted <span class="html-italic">p</span>-values (<span class="html-italic">p</span><sub>adj</sub>.) based on multiple comparisons between each experimental treatment are shown as follows: *, <span class="html-italic">p</span><sub>adj</sub>. &lt; 0.05; **, <span class="html-italic">p</span><sub>adj</sub>. &lt; 0.01; ***, <span class="html-italic">p</span><sub>adj</sub>. &lt; 0.001.</p>
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<p>Resazurin-reduction-based growth curve. A standard curve was generated as described in the <a href="#sec4-ijms-25-13513" class="html-sec">Section 4</a> to examine the cell growth during the experiments. Cells from the 5th passage were seeded in triplicate (100,000; 200,000; 300,000; 400,000; 600,000; and 800,000 cells/well). Exponential regression was used to calculate the standard curve (red line) (Microsoft Excel). Cellular growth of the hPDLCs in the different experimental conditions is shown with red diamonds (<span style="color:#FF8000">♦</span>) on the fitted curve, and data from the standard curve are shown with blue diamonds (<span style="color:#2E9AFE">♦</span>).</p>
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<p>Results of the live/dead cell staining from the WAB in vitro model, with/without H<sub>2</sub>O<sub>2</sub> stimulation for a qualitative assessment of the cell viability of the cells in different experimental groups. Green cells indicate viability, and unattached dead cells are either washed away or stained red (Scale bar: 200 μm).</p>
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<p>Reference gene selection was undertaken using RefFinder. (<b>a</b>) Cq values for the panel of reference genes. Six quantitative polymerase chain reaction (qPCR) runs were analyzed, representing three biological replicates and two technical replicates each (<a href="#app1-ijms-25-13513" class="html-app">Supplementary Table S2.3</a>). (<b>b</b>) Analysis of comprehensive gene stability for the panel of reference genes. Lower values indicate higher gene stability (<a href="#app1-ijms-25-13513" class="html-app">Supplementary File S2</a>).</p>
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13 pages, 616 KiB  
Article
Dose–Response Curve in REMA Test: Determination from Smartphone-Based Pictures
by Eugene B. Postnikov, Alexander V. Sychev and Anastasia I. Lavrova
Analytica 2024, 5(4), 619-631; https://doi.org/10.3390/analytica5040041 - 10 Dec 2024
Viewed by 602
Abstract
We report a workflow and a software description for digital image colorimetry aimed at obtaining a quantitative dose–response curve and the minimal inhibitory concentration in the Resazurin Microtiter Assay (REMA) test of the activity of antimycobacterial drugs. The principle of this analysis is [...] Read more.
We report a workflow and a software description for digital image colorimetry aimed at obtaining a quantitative dose–response curve and the minimal inhibitory concentration in the Resazurin Microtiter Assay (REMA) test of the activity of antimycobacterial drugs. The principle of this analysis is based on the newly established correspondence between the intensity of the a* channel of the CIE L*a*b* colour space and the concentration of resorufin produced in the course of this test. The whole procedure can be carried out using free software. It has sufficiently mild requirements for the quality of colour images, which can be taken by a typical smartphone camera. Thus, the approach does not impose additional costs on the medical examination points and is widely accessible. Its efficiency is verified by applying it to the case of two representatives of substituted 2-(quinolin-4-yl) imidazolines. The direct comparison with the data on the indicator’s fluorescence obtained using a commercial microplate reader argues that the proposed approach provides results of the same range of accuracy on the quantitative level. As a result, it would be possible to apply the strategy not only for new low-cost studies but also for expanding databases on drug candidates by quantitatively reprocessing existing data, which were earlier documented by images of microplates but analysed only qualitatively. Full article
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<p>Main window of the developed program’s graphic user interface. It demonstrates the graphic window displaying the normed drug–response curve and its regression according the notation in the input data files as well as the control panel, which allows to user to choose required data, run calculations, and save their result.</p>
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<p>Distribution of extracted average colours over the plate wells in the REMA test results for the compounds 16 (<b>A</b>) and 18 (<b>B</b>); markers denote the normed responses in the a* channel of the CIE L*a*b* colour system (circles) and the fluorescence data (asterisks) for the compounds 16 (<b>C</b>) and 18 (<b>D</b>), with abscissa labelling according to the notation in the pictures of plates reported in the work [<a href="#B25-analytica-05-00041" class="html-bibr">25</a>], which includes not only drug concentrations but also control cells (0, <math display="inline"><semantics> <mrow> <mi>C</mi> <mn>1</mn> <mo>%</mo> </mrow> </semantics></math> (1% control dilution of the bacterial culture), and <span class="html-italic">C</span> (the control representing medium without the bacterial culture), not used in the calculations). Coloured markers are used for the regression, grey ones are not. The red solid (colorimetric) and blue dashed (fluorometric) curves satisfy Equation (<a href="#FD4-analytica-05-00041" class="html-disp-formula">4</a>), with parameters listed in <a href="#analytica-05-00041-t001" class="html-table">Table 1</a>.</p>
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<p>The model colour change due to mixing of resazurin and resorufin with a step of 10% in resorufin’s molar concentration (<b>A</b>) and the respective change in the CIE L*a*b* colour space coordinates (<b>B</b>). The dashed straight line highlights the linear correlation.</p>
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12 pages, 3930 KiB  
Article
Standardized Protocol for Resazurin-Based Viability Assays on A549 Cell Line for Improving Cytotoxicity Data Reliability
by Jessica Petiti, Sabrina Caria, Laura Revel, Mattia Pegoraro and Carla Divieto
Cells 2024, 13(23), 1959; https://doi.org/10.3390/cells13231959 - 26 Nov 2024
Viewed by 999
Abstract
The A549 cell line has become a cornerstone in biomedical research, particularly in cancer studies and serves as a critical tool in cytotoxicity studies and drug screening where it is used to evaluate the impact of pharmaceutical compounds on cellular viability. One of [...] Read more.
The A549 cell line has become a cornerstone in biomedical research, particularly in cancer studies and serves as a critical tool in cytotoxicity studies and drug screening where it is used to evaluate the impact of pharmaceutical compounds on cellular viability. One of the most widely adopted methods for viability assessment, which is also used in evaluating drug cytotoxicity, is the resazurin-based assay. This assay exploits the ability of living cells to convert resazurin into fluorescent resorufin, providing a reliable indicator of metabolic activity. By measuring this conversion, cell viability can be estimated. Resazurin assay is extensively used for evaluating cytotoxic effects on various cell lines, including A549 cells, thereby bridging the gap between in vitro experimentation and drug development. However, frequent data inconsistencies in pre-clinical drug screening highlight the critical need for standardization to ensure reliability and reproducibility. This manuscript addresses these challenges by describing the optimization of resazurin-based viability assays for A549 cells in both 2D cultures and 3D fibrin gel models. By optimizing this test, the study aims to enhance the reliability of cytotoxicity results and introduces a new standard operating procedure, thus providing consistent results with minimal measurement uncertainty. This standardization is crucial for advancing drug screening and ensuring robust research findings. Full article
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<p>FI<sub>Sample-Blank</sub> (<span class="html-italic">y</span>-axis) versus <span class="html-italic">λ</span><sub>Ex</sub>-<span class="html-italic">λ</span><sub>Em</sub> conditions (<span class="html-italic">x</span>-axis) for low, medium, and high cell confluency. FI is expressed as arbitrary units (au). Error bars indicate SD.</p>
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<p>FI<sub>Sample-Blank</sub> (<span class="html-italic">y</span>-axis) versus cell concentration (<span class="html-italic">x</span>-axis) for very low, low–medium, and medium–high cell confluency. FI is expressed as arbitrary units (au). Error bars indicate SD. Linearity was indicated by R<sup>2</sup> values. Suggested optimal incubation time is indicated for different cell concentration ranges.</p>
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<p>(<b>A</b>) LoB, LoD, and LoQ estimation by calibration curve method. FI<sub>Sample-Blank</sub> (<span class="html-italic">y</span>-axis) versus cell concentration (<span class="html-italic">x</span>-axis). FI is expressed as arbitrary units (au). Error bars indicate SD. The green dotted lines indicate LoB, LoD, and LoQ; the gray area indicates the range of the curve in which linearity is lost. (<b>B</b>) Experimental validation of LoD and LoQ. FI is expressed as arbitrary units (au). Blank represents resazurin WS only. ** <span class="html-italic">p</span> ≤ 0.01; **** <span class="html-italic">p</span> ≤ 0.0001.</p>
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<p>FI (<span class="html-italic">y</span>-axis) versus cell concentration (<span class="html-italic">x</span>-axis). FI is expressed as arbitrary units (au). Error bars indicate SD. (<b>A</b>) Differences between FI results obtained in 96-well, 48-well, and 24-well plates in all the experiments (Exp). (<b>B</b>) Comparison of FI results obtained for each confluency condition in each experiment (Exp).</p>
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<p>(<b>A</b>) Resazurin WS absorption by fibrin gel after 1 h of incubation. (<b>B</b>) Comparison between 2D (orange) and 3D (blue) identical curves incubated 1.5 h and 3 h, respectively. FI<sub>Sample-Blank</sub> (<span class="html-italic">y</span>-axis) versus cell concentration (<span class="html-italic">x</span>-axis). FI is expressed as arbitrary units (au). Error bars indicate SD. (<b>C</b>) Experimental validation of LoD and LoQ in 3D culture model. FI is expressed as arbitrary units (au). Blank represents resazurin WS only. **** <span class="html-italic">p</span> ≤ 0.0001.</p>
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<p>(<b>A</b>) FI values (<span class="html-italic">y</span>-axis) measured in cell culture media collected from fibrin gels without (w/o) and with cells before each resazurin WS treatment (<span class="html-italic">x</span>-axis). The complete medium was used as a control (resazurin treatment = 0). FI is expressed as arbitrary units (au). Error bars indicate SD. (<b>B</b>) FI<sub>Sample-Blank</sub> results (<span class="html-italic">y</span>-axis) in identical samples treated 1, 2, 3, or 4 times with resazurin WS (<span class="html-italic">x</span>-axis) at day 11. The FI result of the day of seeding (day 1) are indicated by continuous orange line, while dashed lines indicate ± SD. FI is expressed as arbitrary units (au). Error bars indicate SD. (<b>C</b>) Images acquired with optical microscopy on day 11 of identical samples treated 1, 2, 3, or 4 times with resazurin WS (20× objective).</p>
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23 pages, 7292 KiB  
Article
Sustainable Carbon Dots Loaded into Carboxymethylcellulose Based Hydrogels for Uterine Cancer Bioimaging
by Jordane S. Rodrigues, Pedro Brandão, Sofia O. D. Duarte, Izabela Boueri da Silveira, Maria de Fátima Leite, Max P. Gonçalves, Fernanda G. L. Medeiros Borsagli and Pedro Fonte
Pharmaceutics 2024, 16(12), 1500; https://doi.org/10.3390/pharmaceutics16121500 - 22 Nov 2024
Viewed by 934
Abstract
Background/Objectives: The development of innovative materials for disease diagnostics and therapeutics is a fast-growing area of scientific research. In this work, we report the development of innovative hydrogels incorporating carbon dots (Cdots) for bioimaging purposes. Methods: The Cdots were prepared using [...] Read more.
Background/Objectives: The development of innovative materials for disease diagnostics and therapeutics is a fast-growing area of scientific research. In this work, we report the development of innovative hydrogels incorporating carbon dots (Cdots) for bioimaging purposes. Methods: The Cdots were prepared using a sustainable and low-cost process, starting with an underused fiber from the Brazilian semiarid region. Spectroscopy analysis (Fourier transform infrared spectroscopy, X-ray photoelectron spectroscopy, UV-visible spectroscopy), X-ray diffraction, photoluminescence, zeta potential, scanning electron microscopy, and transmission electron microscopy were used to characterize these hydrogels. In addition, biocompatibility using the resazurin assay and cellular uptake by confocal microscopy were evaluated. Results: Our results showed that the Cdots changed the structure and crystallinity of hydrogels, mainly due to heat treatment. In addition, hydrogels’ chemical groups suffer red and blue shifts following the Cdots incorporation. Moreover, the Cdots were homogeneously incorporated into the hydrogel matrix. Importantly, the cytotoxicity levels were maintained above 90% (p < 0.01), and cellular uptake studies using HeLa cells demonstrated intracellular fluorescence of both the Cdots and hydrogels after incubation. Additionally, the concentration of Cdots within hydrogels significantly affected fluorescence intensity, even compared with pure Cdots. Conclusions: These results showcase the potential for these hydrogels to be further developed as biomarkers and therapeutic biomaterials for women’s health. Full article
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<p><span class="html-italic">Ceiba speciosa</span> and its fibers.</p>
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<p>Schematic representation of the Cdots synthesis and hydrogel formation. Hydrogel with 300 µL of Cdots (S1), hydrogel with 500 µL of Cdots (S2), hydrogel with 1000 µL of Cdots (S3), and carboxymethyl cellulose (CMC).</p>
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<p>ATR-FTIR spectra of Cdots, CMC, and hydrogels (CA, S1, S2, S3) (inset, CMC linked with CA; the brown circles are the Cdots).</p>
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<p>UV visible spectra of Cdots (<b>A</b>) and Tauc relation of Cdots (<b>B</b>).</p>
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<p>(<b>A</b>) X-ray Photoelectron spectroscopy (XPS) spectrum of Cdots, (<b>B</b>) C1s deconvolution, and (<b>C</b>) O1s deconvolution.</p>
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<p>Photoluminescence (PL) spectra of Cdots. The peak photoluminescence was observed at 398 nm.</p>
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<p>TEM microphotograph of Cdots and its diameter distribution, obtained using ImageJ software 1.54 from TEM images (red line is the gaussian curve of histogram).</p>
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<p>SEM images of <span class="html-italic">Ceiba speciosa</span> fibers with a scale bar of 200 nm.</p>
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<p>XRPD patterns of (<b>A</b>) <span class="html-italic">Ceiba speciosa</span> before and (<b>B</b>) after being treated; (<b>C</b>) Cdots; (<b>D</b>) pure CMC and hydrogels (<b>E</b>) CMC_CA; (<b>F</b>) S1; (<b>G</b>) S2; (<b>H</b>) S3.</p>
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<p>(<b>A</b>) Gel fraction of hydrogels; (<b>B</b>) Enlarged view of the gel fraction graph for the initial minutes; (<b>C</b>) Swelling degree of hydrogels; (<b>D</b>) Enlarged view of the swelling degree graph for the initial minutes.</p>
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<p>HeLa cells viability measured by resazurin assay, for Cdots, CMC, and hydrogels (CMC_CA, S1, S2, S3). Controls are cells without any other material, and control+ is triton).</p>
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<p>(<b>A</b>) Confocal laser scanning microscopy images showing cellular uptake of Cdots and hydrogels (S1, S2, S3); (<b>B</b>) Fluorescence results post internalization, displaying the average fluorescence intensity measured after 60 min (n = 3).</p>
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<p>Percentage of Cdots internalization in HeLa cells after 60 min of exposure.</p>
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15 pages, 2091 KiB  
Article
Resveratrol and Its Derivatives Diminish Lipid Accumulation in Adipocytes In Vitro—Mechanism of Action and Structure–Activity Relationship
by Noémi Sikur, Csenge Böröczky, Alexandra Paszternák, Ramá Gyöngyössy, Éva Szökő, Kamilla Varga and Tamás Tábi
Nutrients 2024, 16(22), 3869; https://doi.org/10.3390/nu16223869 - 13 Nov 2024
Viewed by 1123
Abstract
Background and Objectives: Expansion of white adipose tissue causes systemic inflammation and increased risk of metabolic diseases due to its endocrine function. Resveratrol was suggested to be able to prevent obesity-related disorders by mimicking caloric restriction; however, its structure–activity relationships and molecular targets [...] Read more.
Background and Objectives: Expansion of white adipose tissue causes systemic inflammation and increased risk of metabolic diseases due to its endocrine function. Resveratrol was suggested to be able to prevent obesity-related disorders by mimicking caloric restriction; however, its structure–activity relationships and molecular targets are still unknown. We aimed to compare the effects of resveratrol and its analogues on adipocyte metabolism and lipid accumulation in vitro. Methods: Mouse embryonic fibroblasts were differentiated to adipocytes in the absence or presence of resveratrol or its derivatives (oxyresveratrol, monomethylated resveratrol, or trimethylated resveratrol). Intracellular lipid content was assessed by Oil Red O staining. Glucose uptake and its response to insulin were estimated by 2-NBDG, and mitochondrial activity was assayed via resazurin reduction. Involvement of potential molecular pathways was investigated by concurrent treatment with their inhibitors. Results: Although lipid accumulation was significantly reduced by all analogues without altering protein content, oxyresveratrol was the most potent (IC50 = 4.2 μM), while the lowest potency was observed with trimethylated resveratrol (IC50 = 27.4 μM). Increased insulin-stimulated glucose uptake was restored by each analogue with comparable efficiency. The enhanced mitochondrial activity was normalized by resveratrol and its methylated derivatives, while oxyresveratrol had a minor impact on it. Among the examined pathways, inhibition of SIRT1, PGC-1α, and JNK diminished the lipid-reducing effect of the compounds. Autophagy appeared to play a key role in the effect of all compounds but oxyresveratrol. Conclusions: Resveratrol and its analogues can mimic caloric restriction with complex mechanisms, including activation of SIRT1, PGC-1α, and JNK, making them possible drug candidates to treat obesity-related diseases. Full article
(This article belongs to the Section Lipids)
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Graphical abstract
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<p>Effect of resveratrol derivatives on lipid accumulation and protein levels. Treatments were carried out in 1.56, 3.125, 6.25, 12.5, 25, 50, and 100 μM concentrations in differentiation-maintaining medium for 17 days after a 4-day initiation period. The lipid and protein contents were measured by Oil Red O and Coomassie Blue staining, respectively. According to spectrophotometric measurements, absorbance of control group was 0.0607 ± 0.00329, while differentiated group showed 0.2067 ± 0.005735 absorbance units. Oxyresveratrol (<b>B</b>) decreased lipid accumulation with the highest potency (IC50 = 4.15 μM, 95% CI: 2.80–5.16), followed by resveratrol (<b>A</b>) (IC50 = 9.37 μM, 95% CI: 8.89–9.91) and monomethylated resveratrol (<b>C</b>) (IC50 = 13.38 μM, 95% CI: 12.74–14.04). Trimethylated derivative (<b>D</b>) reduced lipid levels with the lowest potency (IC50 = 27.39 μM, 95% CI: 26.41–28.48). All data are expressed in the percentage of lipid and protein content of the untreated differentiated group, non-linear regression with least squares method was used for plotting.</p>
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<p>Effect of resveratrol derivatives on elevated mitochondrial activity measured by resazurin reduction assay. After a 4-day initiation period, cells were treated with 3.125, 6.25, 12.5, and 25 μM of resveratrol derivatives for 17 days during maintenance. Compared to the differentiated group, (<b>D</b>) trimethylated derivative reduced the activity by 76.24% in 12.5 μM concentration. In the same concentration, treatment with (<b>A</b>) resveratrol and (<b>C</b>) monomethylated resveratrol caused 49.24% and 59.53% reduction, respectively. However, (<b>B</b>) 12.5 μM oxyresveratrol treatment decreased the activity only by 7.52%. Results were analyzed by one-way ANOVA with Dunnett’s post hoc test. Diff: differentiation, Resv: resveratrol, OR: oxyresveratrol, MR: monomethyl resveratrol, TR: trimethyl resveratrol, ** <span class="html-italic">p</span> &lt; 0.0001, * <span class="html-italic">p</span> = 0.003, ns: not significant.</p>
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<p>Effect of resveratrol derivatives on (<b>A</b>) glucose uptake and (<b>B</b>) insulin sensitivity of differentiated MEF cells. The derivatives were added to the medium for 17 days, then glucose uptake was estimated by 2-NBDG with or without prior incubation with 1, 10, 100, 1000 pM insulin for 1 h. Treatment with 25 μM resveratrol, oxyresveratrol, monomethylated and trimethylated resveratrol reduced the increased glucose uptake by 51.4%, 49.4%, 42.3%, and 48.8%, respectively (<b>A</b>). The enhanced insulin sensitivity of adipocytes was abolished by each derivative with similar efficiency (<b>B</b>). The obtained data were evaluated by (<b>A</b>) one-way ANOVA with Dunnett’s post hoc test and (<b>B</b>) non-linear regression with least squares method. ** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>The effect of resveratrol derivatives on lipid accumulation and protein levels in the absence and presence of PI3K (<b>A</b>,<b>B</b>), p38 (<b>C</b>,<b>D</b>), ERK (<b>E</b>,<b>F</b>), SIRT1 (<b>G</b>,<b>H</b>), PGC-1α (<b>I</b>,<b>J</b>), JNK (<b>K</b>,<b>L</b>), or autophagy (<b>M</b>,<b>N</b>) inhibition. Resveratrol derivatives were used in 25 μM concentration in differentiating medium for 17 days and the cells were simultaneously treated with inhibitors of the potential targets: 2.5 μM wortmannin, 2 μM EX-527, 10 μM SR-18292, 10 μM SB202190, 0.1 μM chloroquine, 5 μM SP600125, or 5 μM PD98059. The lipid and protein levels were assessed by Oil Red O and Coomassie Blue staining, respectively. Inhibition of PI3K (<b>A</b>) obliterated adipogenesis in the differentiated groups. SIRT1 (<b>G</b>), autophagy (<b>M</b>), and JNK (<b>K</b>) inhibition significantly increased the lipid levels, while blocking PGC-1α (<b>I</b>), p38 (<b>C</b>), and ERK (<b>E</b>) activity resulted in reduced lipid droplet formation. The lipid-reducing effect of resveratrol and its analogues disappeared with the inhibition of SIRT1 (<b>G</b>), PGC-1α (<b>I</b>), and JNK (<b>K</b>). The effect of the derivatives appeared to be dependent on autophagy, except for oxyresveratrol (<b>M</b>). Protein content was consistently reduced only by p38 inhibitor SB202190 (<b>D</b>). Results were evaluated by two-way ANOVA and Tukey’s post hoc test. ** <span class="html-italic">p</span> &lt; 0.0001 vs. differentiated group, <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.0001 vs. respective group without inhibitor treatment, ns: not significant.</p>
Full article ">Figure 4 Cont.
<p>The effect of resveratrol derivatives on lipid accumulation and protein levels in the absence and presence of PI3K (<b>A</b>,<b>B</b>), p38 (<b>C</b>,<b>D</b>), ERK (<b>E</b>,<b>F</b>), SIRT1 (<b>G</b>,<b>H</b>), PGC-1α (<b>I</b>,<b>J</b>), JNK (<b>K</b>,<b>L</b>), or autophagy (<b>M</b>,<b>N</b>) inhibition. Resveratrol derivatives were used in 25 μM concentration in differentiating medium for 17 days and the cells were simultaneously treated with inhibitors of the potential targets: 2.5 μM wortmannin, 2 μM EX-527, 10 μM SR-18292, 10 μM SB202190, 0.1 μM chloroquine, 5 μM SP600125, or 5 μM PD98059. The lipid and protein levels were assessed by Oil Red O and Coomassie Blue staining, respectively. Inhibition of PI3K (<b>A</b>) obliterated adipogenesis in the differentiated groups. SIRT1 (<b>G</b>), autophagy (<b>M</b>), and JNK (<b>K</b>) inhibition significantly increased the lipid levels, while blocking PGC-1α (<b>I</b>), p38 (<b>C</b>), and ERK (<b>E</b>) activity resulted in reduced lipid droplet formation. The lipid-reducing effect of resveratrol and its analogues disappeared with the inhibition of SIRT1 (<b>G</b>), PGC-1α (<b>I</b>), and JNK (<b>K</b>). The effect of the derivatives appeared to be dependent on autophagy, except for oxyresveratrol (<b>M</b>). Protein content was consistently reduced only by p38 inhibitor SB202190 (<b>D</b>). Results were evaluated by two-way ANOVA and Tukey’s post hoc test. ** <span class="html-italic">p</span> &lt; 0.0001 vs. differentiated group, <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.0001 vs. respective group without inhibitor treatment, ns: not significant.</p>
Full article ">Figure 4 Cont.
<p>The effect of resveratrol derivatives on lipid accumulation and protein levels in the absence and presence of PI3K (<b>A</b>,<b>B</b>), p38 (<b>C</b>,<b>D</b>), ERK (<b>E</b>,<b>F</b>), SIRT1 (<b>G</b>,<b>H</b>), PGC-1α (<b>I</b>,<b>J</b>), JNK (<b>K</b>,<b>L</b>), or autophagy (<b>M</b>,<b>N</b>) inhibition. Resveratrol derivatives were used in 25 μM concentration in differentiating medium for 17 days and the cells were simultaneously treated with inhibitors of the potential targets: 2.5 μM wortmannin, 2 μM EX-527, 10 μM SR-18292, 10 μM SB202190, 0.1 μM chloroquine, 5 μM SP600125, or 5 μM PD98059. The lipid and protein levels were assessed by Oil Red O and Coomassie Blue staining, respectively. Inhibition of PI3K (<b>A</b>) obliterated adipogenesis in the differentiated groups. SIRT1 (<b>G</b>), autophagy (<b>M</b>), and JNK (<b>K</b>) inhibition significantly increased the lipid levels, while blocking PGC-1α (<b>I</b>), p38 (<b>C</b>), and ERK (<b>E</b>) activity resulted in reduced lipid droplet formation. The lipid-reducing effect of resveratrol and its analogues disappeared with the inhibition of SIRT1 (<b>G</b>), PGC-1α (<b>I</b>), and JNK (<b>K</b>). The effect of the derivatives appeared to be dependent on autophagy, except for oxyresveratrol (<b>M</b>). Protein content was consistently reduced only by p38 inhibitor SB202190 (<b>D</b>). Results were evaluated by two-way ANOVA and Tukey’s post hoc test. ** <span class="html-italic">p</span> &lt; 0.0001 vs. differentiated group, <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.0001 vs. respective group without inhibitor treatment, ns: not significant.</p>
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17 pages, 6215 KiB  
Article
Heparin Immobilization Enhances Hemocompatibility, Re-Endothelization, and Angiogenesis of Decellularized Liver Scaffolds
by Chandra Jit Yadav, Usha Yadav, Sadia Afrin, Jun-Yeong Lee, Jihad Kamel and Kyung-Mee Park
Int. J. Mol. Sci. 2024, 25(22), 12132; https://doi.org/10.3390/ijms252212132 - 12 Nov 2024
Viewed by 1399
Abstract
Bioengineered livers are currently an acceptable alternative to orthotopic liver transplants to overcome the scarcity of donors. However, the challenge of using a bioengineered liver is the lack of an intact endothelial layer in the vascular network leading to thrombosis. Heparin-modified surfaces have [...] Read more.
Bioengineered livers are currently an acceptable alternative to orthotopic liver transplants to overcome the scarcity of donors. However, the challenge of using a bioengineered liver is the lack of an intact endothelial layer in the vascular network leading to thrombosis. Heparin-modified surfaces have been demonstrated to decrease thrombogenicity in earlier research. However, in our study, we aimed to apply heparin immobilization to enhance the hemocompatibility, endothelial cell (EC) adhesion, and angiogenesis of rat decellularized liver scaffolds (DLS). Heparin was immobilized on the DLS by the end-point attachment technique. The scaffold’s hemocompatibility was assessed using ex vivo blood perfusion and platelet adhesion studies. The heparinized scaffold (HEP-DLS) showed a significantly reduced thrombogenicity and platelet aggregation. HEP-DLS was recellularized with EA.hy926 cells via the portal vein and maintained in the bioreactor for 7 days, showing increased EC adhesion and coverage within the blood vessels. The Resazurin reduction assay confirmed the presence of actively proliferating cells in the HEP-DLS. The scaffolds were implanted subcutaneously into the dorsum of mice for 21 days to evaluate cell migration and angiogenesis. The results showed significant increases in the number of blood vessels in the HEP-DLS group. Our results demonstrated that heparin immobilization reduces thrombosis, promotes re-endothelialization, and enhances angiogenesis in DLS. The research provides insight into the potential use of heparin in the formation of a functioning vasculature. Full article
(This article belongs to the Section Molecular Biology)
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Figure 1

Figure 1
<p>Decellularization of rat liver. (<b>A</b>) Gross appearance of decellularized liver appears as a translucent white color and retains its gross anatomical features (Scale bar = 2 cm). (<b>B</b>,<b>C</b>) H&amp;E and DAPI staining of decellularized liver showing complete removal of cellular matrix compared to native liver and maintenance of 3D architecture (Scale bar = 200 μm). (<b>D</b>) SEM image of decellularized liver exhibits no residual cells and well-preserved extracellular matrix (Scale bar = 2 μm). (<b>E</b>) Trypan blue dye perfusion through PV of decellularized scaffold showing the intact vasculature tree (Scale bar = 2 cm). (<b>F</b>) DNA quantification shows that the DNA content of DLS was significantly lower &lt; 50 ng/mg (<span class="html-italic">n</span> = 5, * <span class="html-italic">p</span> &lt; 0.05), confirming the efficiency of the decellularization.</p>
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<p>Heparin immobilization of rat decellularized liver through EPA techniques. (<b>A</b>) Histological toluidine blue staining of the DLS and HEP-DLS. Blue staining of HEP-DLS confirms the heparin immobilization (scale bar = 200 μm). (<b>B</b>) SEM of HEP-DLS displays a distinct uniform microtopography (Scale bar = 2 μm). (<b>C</b>) Quantitative analysis of heparin content of DLS and HEP-DLS by toluidine blue O assay <span class="html-italic">(n</span> = 4, * <span class="html-italic">p</span> &lt; 0.05). (<b>D</b>) FTIR spectra of DLS, HEP-DLS, and heparin.</p>
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<p>Ex vivo blood perfusion and platelets adhesion test. (<b>A</b>) The gross morphology of DLS and HEP-DLS after 40 min of blood perfusion. DLS shows multiple dark blood clots, as indicated in circle (Scale bar = 2 cm). (<b>B</b>) H&amp;E showed thrombosis in vasculature of blood-perfused DLS (arrows), whereas no clots in HEP-DLS (scale bar = 100 μm). (<b>C</b>) Immunofluorescence staining with anti-integrin αIIb indicates platelet adhesion on scaffolds (scale bar = 100 μm). (<b>D</b>) Quantification of fluorescence intensity of integrin αIIb expression. Each group (<span class="html-italic">n</span> = 4), mean ± SD, * <span class="html-italic">p</span> &lt; 0.05. (<b>E</b>) PCR analysis showing low expressions of thrombogenicity-related genes, THBS1; thrombospondin, TBXAS; thromboxane A synthase, PLSCR1; phospholipid scramblase in blood perfused HEP-DLS compared to DLS. (<b>F</b>) SEM image reveals substantial platelet aggregation and adhesion across the surface of non-heparinized DLS compared to HEP-DLS. Yellow arrows indicate adherent platelets (scale bar = 2 μm).</p>
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<p>Re-endothelialization of decellularized and heparin-modified decellularized liver using EA.hy926 cells for 7 days. (<b>A</b>,<b>B</b>) H&amp;E and DAPI staining of the heparinized re-endothelialized scaffold shows more ECs adhered to the vessels (black arrows) while ECs escaped to the parenchyma and obstructed vessel lumen (yellow stars) in case of endothelialized scaffold (control) (scale bar = 100 μm). (<b>C</b>) Significantly higher percentage of endothelialized vessels per field was observed in heparinized re-endothelialized scaffold from different five lobes, <span class="html-italic">n</span> = 3 field/slide, * <span class="html-italic">p</span> &lt; 0.05. (<b>D</b>) IHC staining of ECs with CD31 antibody. (<b>E</b>) Ki-67 staining confirms EC proliferation after cell seeding into the scaffolds. (scale bar = 100 μm) (<b>F</b>) TUNEL assay shows fewer numbers of apoptotic cells in heparinized group than control (white arrow indicates the apoptotic cells) (scale bar = 100 μm).</p>
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<p>Resazurin reduction assay and ex vivo blood perfusion of re-endothelialized scaffold. (<b>A</b>) Resazurin reduction assay: visual photograph showing reduction of resazurin reagent from blue to pink over time, indicating cell proliferation in control and heparin-modified re-endothelialized liver scaffolds (Scale bar = 2 cm). (<b>B</b>) The curve shows significant proliferation of cells in heparinized re-endothelialized scaffolds compared to control (<span class="html-italic">n</span> = 3, * <span class="html-italic">p</span> &lt; 0.05). (<b>C</b>) Gross appearance of heparinized re-endothelialized scaffold was free of clots compared to the non-coated re-endothelialized and DLS (yellow arrows indicate clot) (scale bar = 2 cm). (<b>D</b>) PCR analysis showed low expressions of thrombogenicity-related genes (THBS1; thrombospondin 1, TBXAS; thromboxane A synthase, PLSCR1; phospholipid scramblase 1) in blood-perfused heparinized re-endothelialized scaffolds compared to re-endothelialized and decellularized scaffolds. (<b>E</b>) Immunofluorescence staining with anti-integrin αIIb (green) and DAPI (blue) showing the platelets adherence and EC attachment in the scaffolds (scale bar = 100 μm). (<b>F</b>) Quantification of fluorescence intensity of integrin αIIb (green) demonstrates a significant reduction in intensity of heparin-treated re-endothelialized scaffolds, <span class="html-italic">n</span> = 4 fields, * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 5 Cont.
<p>Resazurin reduction assay and ex vivo blood perfusion of re-endothelialized scaffold. (<b>A</b>) Resazurin reduction assay: visual photograph showing reduction of resazurin reagent from blue to pink over time, indicating cell proliferation in control and heparin-modified re-endothelialized liver scaffolds (Scale bar = 2 cm). (<b>B</b>) The curve shows significant proliferation of cells in heparinized re-endothelialized scaffolds compared to control (<span class="html-italic">n</span> = 3, * <span class="html-italic">p</span> &lt; 0.05). (<b>C</b>) Gross appearance of heparinized re-endothelialized scaffold was free of clots compared to the non-coated re-endothelialized and DLS (yellow arrows indicate clot) (scale bar = 2 cm). (<b>D</b>) PCR analysis showed low expressions of thrombogenicity-related genes (THBS1; thrombospondin 1, TBXAS; thromboxane A synthase, PLSCR1; phospholipid scramblase 1) in blood-perfused heparinized re-endothelialized scaffolds compared to re-endothelialized and decellularized scaffolds. (<b>E</b>) Immunofluorescence staining with anti-integrin αIIb (green) and DAPI (blue) showing the platelets adherence and EC attachment in the scaffolds (scale bar = 100 μm). (<b>F</b>) Quantification of fluorescence intensity of integrin αIIb (green) demonstrates a significant reduction in intensity of heparin-treated re-endothelialized scaffolds, <span class="html-italic">n</span> = 4 fields, * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Angiogenic capability of DLS and HEP-DLS in vivo. (<b>A</b>) Gross appearances of scaffolds after 21 days of subcutaneous implantation in mice. Black circles indicate the neo-vessel formation within the scaffold (scale bar = 2 cm). (<b>B</b>) H&amp;E staining showed more blood vessel formation (black arrows) in the HEP-DLS on 14 and 21 days post-implantation (scale bar = 100 μm); I, implanted areas; S, surrounding areas. (<b>C</b>) The number of blood vessels in each group of implants was expressed as the average per field on 14 and 21 days post-implantation (<span class="html-italic">n</span> = 4), * <span class="html-italic">p</span> &lt; 0.05. (<b>D</b>) IHC staining of CD31 for the scaffolds on days 14 and 21 post-implantation, new blood vessels formed within the scaffolds (black arrows), (scale bar = 100 μm).</p>
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19 pages, 3653 KiB  
Article
Metformin Impairs Linsitinib Anti-Tumor Effect on Ovarian Cancer Cell Lines
by Diana Luísa Almeida-Nunes, João P. N. Silva, Mariana Nunes, Patrícia M. A. Silva, Ricardo Silvestre, Ricardo Jorge Dinis-Oliveira, Hassan Bousbaa and Sara Ricardo
Int. J. Mol. Sci. 2024, 25(22), 11935; https://doi.org/10.3390/ijms252211935 - 6 Nov 2024
Viewed by 1188
Abstract
Ovarian cancer (OC) remains one of the leading causes of cancer-related mortality among women. Targeting the insulin-like growth factor 1 (IGF-1) signaling pathway has emerged as a promising therapeutic strategy. Linsitinib, an IGF-1 receptor (IGF-1R) inhibitor, has shown potential in disrupting this pathway. [...] Read more.
Ovarian cancer (OC) remains one of the leading causes of cancer-related mortality among women. Targeting the insulin-like growth factor 1 (IGF-1) signaling pathway has emerged as a promising therapeutic strategy. Linsitinib, an IGF-1 receptor (IGF-1R) inhibitor, has shown potential in disrupting this pathway. Additionally, metformin, commonly used in the treatment of type 2 diabetes, has been studied for its anti-cancer properties due to its ability to inhibit metabolic pathways that intersect with IGF-1 signaling, making it a candidate for combination therapy in cancer treatments. This study explores the anti-cancer effects of linsitinib and metformin on OVCAR3 cells by the suppression of the IGF-1 signaling pathway by siRNA-mediated IGF-1 gene silencing. The goal is to evaluate their efficacy as therapeutic agents and to emphasize the critical role of this pathway in OC cell proliferation. Cellular viability was evaluated by resazurin-based assay, and apoptosis was assessed by flux cytometry. The results of this study indicate that the combination of linsitinib and metformin exhibits an antagonistic effect (obtained by SynergyFinder 2.0 Software), reducing their anti-neoplastic efficacy in OC cell lines. Statistical analyses were performed using ordinary one-way or two-way ANOVA, followed by Tukey’s or Šídák’s multiple comparison tests. While linsitinib shows promise as a therapeutic option for OC, further research is needed to identify agents that could synergize with it to enhance its therapeutic efficacy, like the combination with standard chemotherapy in OC (carboplatin and paclitaxel). Full article
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Figure 1
<p>The insulin-like growth factor 1 signaling pathway. Insulin-like growth factor 1 (IGF-1) activates both phosphatidylinositol 3-kinase/Akt and Ras/mitogen-activated protein kinase pathways, resulting in cell proliferation, increased protein synthesis, and cell growth. Phosphatidylinositol 3-kinase/Akt activates nuclear factor-κB and MDM2 for cell survival and inhibits apoptosis through inhibition of BAD and FKHR. Akt—Ak strain transforming; BAD—BCL2-associated agonist of cell death; Erk—extracellular-signal-regulated kinase; FKHR—Forkhead transcription factor FOXO1; IGF-I—insulin-like growth factor 1; IGF-IR—insulin-like growth factor 1 receptor; IGFBP—insulin-like growth factor binding protein; IRSs—insulin receptor substrate proteins; MDM2—mouse double minute 2; MEK—mitogen-activated protein kinase; mTOR—mammalian target of rapamycin; NFκB—nuclear factor immunoglobulin κ chain enhancer-B cell; P—phosphate; PI3K—phosphatidylinositol 3-kinase; PIP2—phosphatidylinositol 3, 4 phosphates; PIP3—phosphatidylinositol 3, 4, 5 phosphates; Raf—rapidly accelerated fibrosarcoma; Ras—rat sarcoma; SHC—Src homology/collagen. Figure created in <a href="http://BioRender.com" target="_blank">BioRender.com</a>.</p>
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<p><span class="html-italic">IGF-1</span> gene expression in ovarian cell lines. Bar chart showing relative IGF-1 mRNA expression levels in HOSE6.3, OVCAR3, OVCAR8, and OVCAR8 PTX R P cell lines determined by qRT-PCR with β-Actin and GAPDH used as housekeeping genes. The assays were carried out in triplicate in at least three independent experiments. Data are expressed as mean ± standard error of mean deviation (SEM) and plotted using GraphPad Prism Software Inc., San Diego, CA, USA v9. Statistical analysis was performed using ordinary one-way ANOVA followed by Šídák’s multiple comparison test, and values of **** &lt; 0.0001 were considered statistically significant.</p>
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<p>Silencing of <span class="html-italic">IGF-1</span> gene in OVCAR3 cell line. (<b>a</b>) Bar chart showing relative IGF-1 mRNA expression levels in OVCAR3, OVCAR3 transfected with siRNA control (OVCAR3 siNEG), and OVCAR3 transfected with siRNA of IGF-1 (OVCAR3 siIGF-1) determined by qRT-PCR. β-Actin and GAPDH were used as housekeeping genes. (<b>b</b>) Representative Western blot showing IGF-1 protein expression in HOSE6.3, OVCAR3, OVCAR3 siNEG, and OVCAR3 siIGF-1 cell lines. α-tubulin was used as a loading control. (<b>c</b>) Bar chart showing relative IGF-1 protein expression levels in HOSE6.3, OVCAR3, OVCAR3 siNEG, and OVCAR3 siIGF-1 determined by ImageJ 1.4v software. α-tubulin intensity levels were used as a control. The assays were carried out in triplicate in at least three independent experiments. Data are expressed as mean ± standard error of mean deviation (SEM) and plotted using GraphPad Prism Software Inc. v9. Statistical analysis was performed using ordinary one-way ANOVA followed by Šídák’s multiple comparison test and values of * &lt; 0.05 and ** &lt; 0.001 were considered statistically significant.</p>
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<p>Dose–response curves for HOSE6.3 and OVCAR3 of drugs linsitinib and metformin. (<b>a</b>) Dose–response curves for HOSE6.3 and OVCAR3 cells were obtained by Presto Blue assay after exposure to increasing concentrations of linsitinib (780 to 100,000 nM) for 48 h. (<b>b</b>) Dose–response curves for HOSE6.3 and OVCAR3 cells were obtained by Presto Blue assay after exposure to increasing concentrations of metformin (80 to 10,000 μM) for 48 h. IC<sub>50</sub> values are represented by a dotted line in each dose–response curve and are mentioned below. The assays were carried out in triplicate in at least three independent experiments. Data are expressed as mean ± standard error of mean deviation (SEM) and plotted using GraphPad Prism Software Inc. v9.</p>
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<p>Linsitinib demonstrates high efficacy in reducing the cellular viability of OVCAR3 and OVCAR3 siIGF-1. (<b>a</b>) Bar charts showing cell viability of OVCAR3 cells obtained by Presto Blue assay after exposure to a fixed-dose ratio of linsitinib combined with metformin. (<b>b</b>) Bar charts showing cell viability of OVCAR3 siIGF-1 cells obtained by Presto Blue assay after exposure to a fixed-dose ratio of linsitinib combined with metformin. All assays were performed in triplicate in at least three independent experiments. Data are expressed as mean ± standard deviation and plotted using GraphPad Prism Software Inc. v9. Statistical analysis was performed using ordinary two-way ANOVA followed by Šidák’s multiple comparison test, and values of * &lt; 0.05, ** &lt; 0.001, *** &lt; 0.005, and **** &lt; 0.0001 were considered statistically significant.</p>
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<p>Stain with Annexin V/PI and analyzed by flow cytometry to confirm the cellular viability using the drugs linsitinib and metformin in the OVCAR3 and OVCAR3 siIGF-1 cells. (<b>a</b>) Representative flow cytometry histogram of propidium iodide (PI) versus annexin V (FITC-A) intensity in OVCAR3 and OVCAR3 siIGF-1 before (control–DMSO) and after exposure to metformin (500 µM), linsitinib (35 µM), and the combination of both drugs, during 48 h. DMSO was used as a control. The quadrants Q were defined as Q1 = live cells (Annexin V-negative/PI-negative), Q1-LR = early stage of apoptosis (Annexin V-positive/PI-negative), Q1-UL = late stage of apoptosis (Annexin V-positive/PI-positive), and Q1-UL = necrosis (Annexin V-negative/PI-positive). (<b>b</b>) Bar charts showing the percentage of Annexin V-positive cells (early and late stage of apoptosis) to the different conditions of OVCAR3 and OVCAR3 siIGF-1. The assays were carried out in triplicate in at least three independent experiments. Data are expressed as mean ± standard error of mean deviation (SEM) and plotted using GraphPad Prism Software Inc. v9. Statistical analysis was performed using ordinary one-way ANOVA followed by Šídák’s multiple comparison test and values of ** &lt; 0.001, *** &lt; 0.005, and **** &lt; 0.0001 were considered statistically significant.</p>
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<p>Stain with Annexin V/PI and analyzed by flow cytometry to confirm the cellular viability using the drugs linsitinib and metformin in the OVCAR3 and OVCAR3 siIGF-1 cells. (<b>a</b>) Representative flow cytometry histogram of propidium iodide (PI) versus annexin V (FITC-A) intensity in OVCAR3 and OVCAR3 siIGF-1 before (control–DMSO) and after exposure to metformin (500 µM), linsitinib (35 µM), and the combination of both drugs, during 48 h. DMSO was used as a control. The quadrants Q were defined as Q1 = live cells (Annexin V-negative/PI-negative), Q1-LR = early stage of apoptosis (Annexin V-positive/PI-negative), Q1-UL = late stage of apoptosis (Annexin V-positive/PI-positive), and Q1-UL = necrosis (Annexin V-negative/PI-positive). (<b>b</b>) Bar charts showing the percentage of Annexin V-positive cells (early and late stage of apoptosis) to the different conditions of OVCAR3 and OVCAR3 siIGF-1. The assays were carried out in triplicate in at least three independent experiments. Data are expressed as mean ± standard error of mean deviation (SEM) and plotted using GraphPad Prism Software Inc. v9. Statistical analysis was performed using ordinary one-way ANOVA followed by Šídák’s multiple comparison test and values of ** &lt; 0.001, *** &lt; 0.005, and **** &lt; 0.0001 were considered statistically significant.</p>
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<p>Combining linsitinib with metformin has an antagonist effect on OVCAR3 and OVCAR3 siIGF-1 cells. (<b>a</b>) ZIP, Bliss Independence, Loewe, and High Single Agent (HSA) synergy 2D and 3D plots showing drug antagonism of OVCAR3 cells after exposure to a fixed-dose ratio of linsitinib and metformin for 48 h. (<b>b</b>) ZIP, Bliss Independence, Loewe, and HSA synergy 2D and 3D plots showing drug antagonism of OVCAR3 siIGF-1 cells after exposure to a fixed-dose ratio of linsitinib and metformin for 48 h. The combined treatment was co-administered at the same time. All assays were performed in triplicate in at least three independent experiments. Synergy score: &lt;10 (antagonism, green), =1 (additivity, white), and &gt;10 (synergism, red).</p>
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<p>Schematic representation of metformin’s possible interaction with linsitinib. The most common pathway involves the activation of AMPK, which regulates energy metabolism by modulating complex 1 of the respiratory chain in mitochondria by changes in the AMP/ATP ratio, which inhibits Akt and mTOR. Metformin binds with IGF-1 and modulates pathways involved in tumor progression. Upon binding, metformin inhibits the PI3K/Akt/mTOR and Ras/Raf/ERK pathways, leading to reductions in cell proliferation, thereby causing tumor cell death. Metformin, through AMPK activation and mTOR inhibition, could increase glucose uptake and glycolysis and have better efficiency in low-glucose media. The arrows ↑ ↓ indicate upregulation and downregulation, respectively. The drug linsitinib blocks IGF-1R (represented by the red *), which helps to block the IGF-1 signaling pathway. ADP—adenosine diphosphate; Akt—Ak strain transforming; AMP—adenosine monophosphate; AMPK—adenosine monophosphate-activated protein kinase; ATP—adenosine triphosphate; Erk—extracellular-signal-regulated kinase; IGF-I—insulin-like growth factor 1; IGF-IR—insulin-like growth factor 1 receptor; MEK—mitogen-activated protein kinase; mTOR—mammalian target of rapamycin; PI3K—phosphatidylinositol 3-kinase; Raf—rapidly accelerated fibrosarcoma; Ras—rat sarcoma. Figure created in <a href="http://BioRender.com" target="_blank">BioRender.com</a>.</p>
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