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34 pages, 6999 KiB  
Article
Amphetamine Injection into the Nucleus Accumbens and Electrical Stimulation of the Ventral Tegmental Area in Rats After Novelty Test—Behavioral and Neurochemical Correlates
by Grażyna Jerzemowska, Magdalena Podlacha and Jolanta Orzeł-Gryglewska
Int. J. Mol. Sci. 2025, 26(1), 182; https://doi.org/10.3390/ijms26010182 (registering DOI) - 28 Dec 2024
Abstract
Amphetamine abuse is a global health epidemic that is difficult to treat due to individual differences in response to environmental factors, including stress reactivity and anxiety levels, as well as individual neuronal differences, which may result in increased/decreased vulnerability to addiction. In the [...] Read more.
Amphetamine abuse is a global health epidemic that is difficult to treat due to individual differences in response to environmental factors, including stress reactivity and anxiety levels, as well as individual neuronal differences, which may result in increased/decreased vulnerability to addiction. In the present study, we investigated whether the Wistar rats behavioral traits of high (HR) and low (LR) locomotor activity to novelty influence motivational behavior (induced feeding model; iFR by electrical stimulation of the ventral tegmental area; Es-VTA) supported by amphetamine injection into the nucleus accumbens shell (AcbSh) (HRAmph, n = 5; LRAmph, n = 5). A correlation was found between the novelty test’s locomotor activity score and the frequency threshold percentage change (p < 0.001, Rs = −0.867). In HRAmph, there was a shortening (−24.16%), while in LRAmph, there was a lengthening (+51.84%) of iFR latency. Immunofluorescence studies showed differential neuronal density (activity of tyrosine hydroxylase, choline acetyltransferase, and cFos protein) in the selected brain structures in HRAmph and LRAmph animals as well as in comparison to a control group (HRACSF, n = 5; LRACSF, n = 5). These results contribute to expanding the state of knowledge of the behavioral and neuronal propensity to take drug abuse. Full article
(This article belongs to the Section Molecular Neurobiology)
Show Figures

Figure 1

Figure 1
<p>Regression analysis of percentage change in the frequency threshold in each rat (y-axis) to locomotor activity score in rats with low (LR<span class="html-italic"><sub>Amph</sub></span>; n = 5; black rhombus) and high (HR<span class="html-italic"><sub>Amph</sub></span>; n = 5; red rhombus) response to novelty test (x-axis). The Rs value and the corresponding <span class="html-italic">p</span> value show the Spearman correlation coefficient for this analysis.</p>
Full article ">Figure 2
<p>Mean (±SE) percentage change in the frequency threshold induced feeding response (iFR) during unilateral electrical VTA stimulation (Es-VTA) obtained directly after amphetamine injection (5.0 μg/0.5 μL) in the AcbSh in rats with higher locomotor activity (HR<span class="html-italic"><sub>Amph</sub></span>; n = 5; red bar) and low locomotor activity (LR<span class="html-italic"><sub>Amph</sub></span>; n = 5; black bar). On the y-axis, a value of 0.0% was taken as a frequency threshold behavioral iFR reaction during Es-VTA in the same rats obtained immediately after artificial cerebrospinal fluid (ACSF; a value of 0.0% on the y-axis) injection (0.5 µL) into the AcbSh (n = 10) (baseline). Explanations: Mann–Whitney U test: <span class="html-italic">p</span> &lt; 0.001: *** differences from baseline for the HR rats (HR<span class="html-italic"><sub>Amph</sub></span> vs. baseline) and the LR rats (LR<span class="html-italic"><sub>Amph</sub></span> vs. baseline), and ### differences in a group of rats after amphetamine injection (HR<span class="html-italic"><sub>Amph</sub></span> vs. LR<span class="html-italic"><sub>Amph</sub></span>).</p>
Full article ">Figure 3
<p>Latency of induced feeding response (iFR) by unilateral VTA electrical stimulation (Es-VTA) directly after amphetamine injection (5.0 μg/0.5 μL) into the AcbSh in the two experimental groups (HR<span class="html-italic"><sub>Amph</sub></span>; n = 5 vs. LR<span class="html-italic"><sub>Amph</sub></span>; n = 5) (<b>a</b>) and compared to the control which was the behavioral iFR latency obtained by Es-VTA immediately after artificial cerebrospinal fluid (ACSF) (0.5 µL) injection into the AcbSh in the same rats: HR (<span class="html-italic">Amph</span> vs. <span class="html-italic">Acsf</span>) (<b>b</b>) and LR (<span class="html-italic">Amph</span> vs. <span class="html-italic">Acsf</span>) (<b>c</b>). Explanation: Wilcoxon’s signed rank test: * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 and *** <span class="html-italic">p</span> &lt; 0.001, differences in the iFR latency at different frequencies of Es-VTA in the experimental groups (HR<span class="html-italic"><sub>Amph</sub></span> vs. LR<span class="html-italic"><sub>Amph</sub></span>) and compared to the control (<span class="html-italic">Amph</span> vs. <span class="html-italic">Acsf</span>).</p>
Full article ">Figure 4
<p>Mean (+SE) density of tyrosine hydroxylase positive cells (TH+ cells) (number/1 mm<sup>2</sup>) in total all analyzed dopaminergic groups (A15–A8 counted together) in animals from the experimental group (HR<span class="html-italic"><sub>Amph</sub></span>; n = 5; red bar, and LR<span class="html-italic"><sub>Amph</sub></span>; n = 5; red bar with stripes) and the control group (HR<span class="html-italic"><sub>ACSF</sub></span>; n = 5; black bar, and LR<span class="html-italic"><sub>ACSF</sub></span>; n = 5; black bar with stripes). Explanations: Wilcoxon’s signed rank test: *** <span class="html-italic">p</span> &lt; 0.001, differences between the HR<span class="html-italic"><sub>Amph</sub></span> and HR<span class="html-italic"><sub>ACSF</sub></span>; ### <span class="html-italic">p</span> &lt; 0.001, differences between the LR<span class="html-italic"><sub>Amph</sub></span> and LR<span class="html-italic"><sub>ACSF</sub></span>; γγγ <span class="html-italic">p</span> &lt; 0.001, differences within the experimental group: HR<span class="html-italic"><sub>Amph</sub></span> vs. LR<span class="html-italic"><sub>Amph</sub></span> and † <span class="html-italic">p</span> &lt; 0.05, differences within the control group: HR<span class="html-italic"><sub>ACSF</sub></span> vs. LR<span class="html-italic"><sub>ACSF</sub></span>; &amp;&amp;&amp; <span class="html-italic">p</span> &lt; 0.001, differences between the HR<span class="html-italic"><sub>Amph</sub></span> and LR<span class="html-italic"><sub>ACSF</sub></span>; <span>$</span><span>$</span><span>$</span> <span class="html-italic">p</span> &lt; 0.001, differences between the HR<span class="html-italic"><sub>ACSF</sub></span> and LR<span class="html-italic"><sub>Amph</sub></span>.</p>
Full article ">Figure 5
<p>Density of TH+ cell (number/1 mm<sup>2</sup>) in the main dopaminergic groups A15 (<b>a</b>), A14 (<b>b</b>), A13 (<b>c</b>), A12 (<b>d</b>), A11 (<b>e</b>), A10 (<b>f</b>), A9 (<b>g</b>), and A8 (<b>h</b>) in rats after novelty test from the experimental (HR<span class="html-italic"><sub>Amph</sub></span>; n = 5 and LR<span class="html-italic"><sub>Amph</sub></span>; n = 5) and control groups (HR<span class="html-italic"><sub>ACSF</sub></span>; n = 5 and LR<span class="html-italic"><sub>ACSF</sub></span>; n = 5). Explanations: *** <span class="html-italic">p</span> &lt; 0.001 and ** <span class="html-italic">p</span> &lt; 0.01, differences between the HR<span class="html-italic"><sub>Amph</sub></span> and HR<span class="html-italic"><sub>ACSF</sub></span>; ### <span class="html-italic">p</span> &lt; 0.001, differences between the LR<span class="html-italic"><sub>Amph</sub></span> and LR<span class="html-italic"><sub>ACSF</sub></span>; γγγ <span class="html-italic">p</span> &lt; 0.001 and γγ <span class="html-italic">p</span> &lt; 0.01, differences between the HR<span class="html-italic"><sub>Amph</sub></span> and LR<span class="html-italic"><sub>Amph</sub></span>; ††† <span class="html-italic">p</span> &lt; 0.001 and † <span class="html-italic">p</span> &lt; 0.05, differences between the HR<span class="html-italic"><sub>ACSF</sub></span> and LR<span class="html-italic"><sub>ACSF</sub></span>; &amp;&amp;&amp; <span class="html-italic">p</span> &lt; 0.001 and &amp; <span class="html-italic">p</span> &lt; 0.05, differences between the HR<span class="html-italic"><sub>Amph</sub></span> and LR<span class="html-italic"><sub>ACSF</sub></span>; <span>$</span><span>$</span><span>$</span> <span class="html-italic">p</span> &lt; 0.001, <span>$</span><span>$</span> <span class="html-italic">p</span> &lt; 0.01 and <span>$</span> <span class="html-italic">p</span> &lt; 0.05, differences between the HR<span class="html-italic"><sub>ACSF</sub></span> and LR<span class="html-italic"><sub>Amph</sub></span> (Wilcoxon’s signed rank test).</p>
Full article ">Figure 6
<p>Density of TH+ cell (number/1 mm<sup>2</sup>) in the selected paired nuclei of the ventral tegmental area (VTA): parabrachial pigmentosus (PBP) (graph (<b>a</b>), photos (<b>e</b>)) and paranigral (PN) (graph (<b>b</b>), photos (<b>f</b>)) and in the unpaired nuclei of the VTA arranged in the midline axis: interfascicular (IF) (graph (<b>c</b>), photos (<b>g</b>)) and raphe linear, pars rostral (Rli) (graph (<b>d</b>), photos (<b>h</b>)) which constitute a group of A10 dopaminergic cells in brain rats after novelty test from the experimental (HR<span class="html-italic"><sub>Amph</sub></span>; n = 5 and LR<span class="html-italic"><sub>Amph</sub></span>; n = 5) and control groups (HR<span class="html-italic"><sub>ACSF</sub></span>; n = 5 and LR<span class="html-italic"><sub>ACSF</sub></span>; n = 5). The microphotos ((<b>e</b>–<b>h</b>) panels) show TH+ (green signal), cFos+ (red signal), and DAPI (blue signal) labeled neurons. Scale bar = 100 µm: white line: right lower corner of the last photo, panel h (fluorescent microscope PrimoStar from Carl Zeiss MicroImaging GmbH, Göttingen, Germany; picture definition 1024 × 1024 points; computer program Axio Vision Rel4.8 from Carl Zeiss Imaging System; magnification 20 × 10). Explanations for the graphs: *** <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> &lt; 0.01 and * <span class="html-italic">p</span> &lt; 0.05, differences between the HR<span class="html-italic"><sub>Amph</sub></span> and HR<span class="html-italic"><sub>ACSF</sub></span>; ### <span class="html-italic">p</span> &lt; 0.001, ## <span class="html-italic">p</span> &lt; 0.01 and # <span class="html-italic">p</span> &lt; 0.05, differences between the LR<span class="html-italic"><sub>Amph</sub></span> and LR<span class="html-italic"><sub>ACSF</sub></span>; γγγ <span class="html-italic">p</span> &lt; 0.001 and γ <span class="html-italic">p</span> &lt; 0.05, differences between the HR<span class="html-italic"><sub>Amph</sub></span> and LR<span class="html-italic"><sub>Amph</sub></span>; †† <span class="html-italic">p</span> &lt; 0.01 and † <span class="html-italic">p</span> &lt; 0.05, differences between the HR<span class="html-italic"><sub>ACSF</sub></span> and LR<span class="html-italic"><sub>ACSF</sub></span>; &amp;&amp;&amp; <span class="html-italic">p</span> &lt; 0.001, differences between the HR<span class="html-italic"><sub>Amph</sub></span> and LR<span class="html-italic"><sub>ACSF</sub></span> and <span>$</span><span>$</span><span>$</span> <span class="html-italic">p</span> &lt; 0.001, <span>$</span><span>$</span> <span class="html-italic">p</span> &lt; 0.01 and <span>$</span> <span class="html-italic">p</span> &lt; 0.05, differences between the HR<span class="html-italic"><sub>ACSF</sub></span> and LR<span class="html-italic"><sub>Amph</sub></span> (Wilcoxon’s signed rank test).</p>
Full article ">Figure 7
<p>Density of TH+ cell (number/1 mm<sup>2</sup>) in the structures of the substantia nigra: pars compacta (SNC) (graph (<b>a</b>), photos (<b>b</b>)), reticulata (SNR) (graph (<b>c</b>), photos (<b>d</b>)) and lateralis (SNL) (graph (<b>e</b>), photos (<b>f</b>)) which constitute a group of A9 dopaminergic cells in brain rats after novelty test from the experimental (HR<span class="html-italic"><sub>Amph</sub></span>; n = 5 and LR<span class="html-italic"><sub>Amph</sub></span>; n = 5) and control groups (HR<span class="html-italic"><sub>ACSF</sub></span>; n = 5 and LR<span class="html-italic"><sub>ACSF</sub></span>; n = 5). The microphotos ((<b>b</b>), (<b>d</b>), (<b>f</b>) panels) show TH+ (green signal), cFos+ (red signal), and DAPI (blue signal) labeled neurons. Scale bar = 100 µm: white line: right lower corner of the last photo, panel <b>f</b> (fluorescent microscope PrimoStar from Carl Zeiss MicroImaging GmbH, Göttingen, Germany; picture definition 1024 × 1024 points; computer program Axio Vision Rel4.8 from Carl Zeiss Imaging System; magnification 20 × 10). Explanations for the graphs: *** <span class="html-italic">p</span> &lt; 0.001 and ** <span class="html-italic">p</span> &lt; 0.01, differences between the HR<span class="html-italic"><sub>Amph</sub></span> and HR<span class="html-italic"><sub>ACSF</sub></span>; ## <span class="html-italic">p</span> &lt; 0.01 and # <span class="html-italic">p</span> &lt; 0.05, differences between the LR<span class="html-italic"><sub>Amph</sub></span> and LR<span class="html-italic"><sub>ACSF</sub></span>; γ <span class="html-italic">p</span> &lt; 0.05, differences between the HR<span class="html-italic"><sub>Amph</sub></span> and LR<span class="html-italic"><sub>Amph</sub></span>; ††† <span class="html-italic">p</span> &lt; 0.001, differences between the HR<span class="html-italic"><sub>ACSF</sub></span> and LR<span class="html-italic"><sub>ACSF</sub></span>; &amp;&amp;&amp; <span class="html-italic">p</span> &lt; 0.001 and &amp; <span class="html-italic">p</span> &lt; 0.05, differences between the HR<span class="html-italic"><sub>Amph</sub></span> and LR<span class="html-italic"><sub>ACSF</sub></span> and <span>$</span><span>$</span> <span class="html-italic">p</span> &lt; 0.01 and <span>$</span> <span class="html-italic">p</span> &lt; 0.05, differences between the HR<span class="html-italic"><sub>ACSF</sub></span> and LR<span class="html-italic"><sub>Amph</sub></span> (Wilcoxon’s signed rank test).</p>
Full article ">Figure 8
<p>Mean (+SE) density of choline acetyltransferase positive cells (ChAT+ cells) (number/1 mm<sup>2</sup>) in total all analyzed cholinergic groups (Ch1–Ch6 counted together) in animals from the experimental group (HR<span class="html-italic"><sub>Amph</sub></span>; n = 5; red bar, and LR<span class="html-italic"><sub>Amph</sub></span>; n = 5; red bar with stripes) and the control group (HR<span class="html-italic"><sub>ACSF</sub></span>; n = 5; black bar, and LR<span class="html-italic"><sub>ACSF</sub></span>; n = 5; black bar with stripes). Explanations: Wilcoxon’s signed rank test: γγγ <span class="html-italic">p</span> &lt; 0.001, differences within the experimental group: HR<span class="html-italic"><sub>Amph</sub></span> vs. LR<span class="html-italic"><sub>Amph</sub></span> and ††† <span class="html-italic">p</span> &lt; 0.01, differences within the control group: HR<span class="html-italic"><sub>ACSF</sub></span> vs. LR<span class="html-italic"><sub>ACSF</sub></span>; &amp;&amp;&amp; <span class="html-italic">p</span> &lt; 0.001, differences between the HR<span class="html-italic"><sub>Amph</sub></span> and LR<span class="html-italic"><sub>ACSF</sub></span>; <span>$</span><span>$</span><span>$</span> <span class="html-italic">p</span> &lt; 0.001, differences between the HR<span class="html-italic"><sub>ACSF</sub></span> and LR<span class="html-italic"><sub>Amph</sub></span>.</p>
Full article ">Figure 9
<p>Density of ChAT+ cell (number/1 mm<sup>2</sup>) in the main cholinergic groups Ch1 (graph (<b>a</b>), photos (<b>g</b>)), Ch2 (graph (<b>b</b>), photos (<b>h</b>)), Cg3 (graph (<b>c</b>), photos (<b>i</b>)), Ch4 (graph (<b>d</b>)), Ch5 (graph (<b>e</b>), photos (<b>j</b>)) and Ch6 (graph (<b>f</b>)) in rats after novelty test from the experimental (HR<span class="html-italic"><sub>Amph</sub></span>; n = 5 and LR<span class="html-italic"><sub>Amph</sub></span>; n = 5) and control groups (HR<span class="html-italic"><sub>ACSF</sub></span>; n = 5 and LR<span class="html-italic"><sub>ACSF</sub></span>; n = 5). The representative microphotos ((<b>g</b>–<b>j</b>) panels) show ChAT+ (red signal), TH+ (green signal), and DAPI (blue signal) labeled neurons. Scale bar = 100 µm: white line: right lower corner of the last photo, panel (<b>j</b>) (fluorescent microscope PrimoStar from Carl Zeiss MicroImaging GmbH, Göttingen, Germany; picture definition 1024 × 1024 points; computer program Axio Vision Rel4.8 from Carl Zeiss Imaging System; magnification 20 × 10). Explanations for the graphs: * <span class="html-italic">p</span> &lt; 0.05, differences between the HR<span class="html-italic"><sub>Amph</sub></span> and HR<span class="html-italic"><sub>ACSF</sub></span>; ## <span class="html-italic">p</span> &lt; 0.01, differences between the LR<span class="html-italic"><sub>Amph</sub></span> and LR<span class="html-italic"><sub>ACSF</sub></span>; γγ <span class="html-italic">p</span> &lt; 0.01 and γ <span class="html-italic">p</span> &lt; 0.05, differences between the HR<span class="html-italic"><sub>Amph</sub></span> and LR<span class="html-italic"><sub>Amph</sub></span>; †† <span class="html-italic">p</span> &lt; 0.01 and † <span class="html-italic">p</span> &lt; 0.05, differences between the HR<span class="html-italic"><sub>ACSF</sub></span> and LR<span class="html-italic"><sub>ACSF</sub></span>; &amp;&amp;&amp; <span class="html-italic">p</span> &lt; 0.001 and &amp;&amp; <span class="html-italic">p</span> &lt; 0.01, differences between the HR<span class="html-italic"><sub>Amph</sub></span> and LR<span class="html-italic"><sub>ACSF</sub></span> and <span>$</span> <span class="html-italic">p</span> &lt; 0.05, differences between the HR<span class="html-italic"><sub>ACSF</sub></span> and LR<span class="html-italic"><sub>Amph</sub></span> (Wilcoxon’s signed rank test).</p>
Full article ">Figure 10
<p>Photographs of select brain sections from representative rats in the experimental group (HR<span class="html-italic"><sub>Amph</sub></span>) stained with Nissl staining with localization of the electrode in the ventral tegmental area (VTA) (distance from bregma to posterior: −5.04 mm; black arrow—the position of the electrode tip) (<b>a</b>) and the cannula in the nucleus accumbens shell (AcbSh) (distance from bregma to anterior: +2.04 mm; black arrow—the position of the cannula tip) (<b>b</b>) according to the rat brain atlas [<a href="#B42-ijms-26-00182" class="html-bibr">42</a>] (a magnifier Stemi 508; Zeiss with camera Axiocam 105 color; Zeiss and with integrated software Zen Digital Imaging (version 3.2 Blue Edition); Zeiss, magnification 2.5 × 10, scale bar 1 mm—right lower corner of the photos).</p>
Full article ">Figure 11
<p>Schematic diagrams of all experimental behavioral procedures conducted on rats (n = 60) during behavioral (n = 30) (<b>a</b>) and neurochemical experiments (n = 30) (<b>b</b>) together with the division of animals into control (n = 10) and experimental groups (n = 10). Explanations: (1) acclimatization of animals, (2) handling, this procedure continued throughout the cycle of behavioral procedures, (3) novelty test, (4) stereotaxic surgery of animals for implantation of a stimulating electrode into the ventral tegmental area (VTA) and an injection cannula into the nucleus accumbens shell (AcbSh), (5) recovery period with handling procedure, (6) screening electrical stimulation of the VTA (Es-VTA) to individually select current parameters for each animal and determine excitability threshold (analysis of the latency of the induced food response (iFR)), (7) injection of artificial cerebrospinal fluid (ACSF) (0.5 µL) into the AcbSh—the control groups of rats (HR<span class="html-italic"><sub>ACSF</sub></span>; n = 5 and LR<span class="html-italic"><sub>ACSF</sub></span>; n = 5) in behavioral (a) and neurochemical experiments (b; only the brains of these rats were used as control groups (HR<span class="html-italic"><sub>ACSF</sub></span>; n = 5 and LR<span class="html-italic"><sub>ACSF</sub></span>; n = 5) for these studies), (8) injection of amphetamine (5.0 µg/µL) into the AcbSh—the experimental groups of rats (HR<span class="html-italic"><sub>Amph</sub></span>; n = 5 and LR<span class="html-italic"><sub>Amph</sub></span>; n = 5) in behavioral (<b>a</b>). The brains of rats from the behavioral studies (<b>a</b>) were used as experimental groups (HR<span class="html-italic"><sub>Amph</sub></span>; n = 5 and LR<span class="html-italic"><sub>Amph</sub></span>; n = 5) for neurochemical studies (<b>b</b>).</p>
Full article ">
21 pages, 1340 KiB  
Article
Effects of Hot Air, Vacuum, and Conductive Drying on the Fatty Acid Profile of Cucurbita maxima Pulp and Its Processing By-Products
by Antonela Ninčević Grassino, Sven Karlović, Filip Dujmić, Suzana Rimac Brnčić, Marija Badanjak Sabolović and Mladen Brnčić
Foods 2025, 14(1), 57; https://doi.org/10.3390/foods14010057 (registering DOI) - 28 Dec 2024
Abstract
Considering the short shelf life of fresh pumpkin due to its high water content and the extensive use of dried pumpkin in the food industry, it is necessary to find an efficient drying method that minimizes water activity and preserves nutritional properties. In [...] Read more.
Considering the short shelf life of fresh pumpkin due to its high water content and the extensive use of dried pumpkin in the food industry, it is necessary to find an efficient drying method that minimizes water activity and preserves nutritional properties. In this study, the effects of hot air drying (HAD), vacuum drying (VAD), and conductive drying (CD) at 50, 60, and 70 °C on fatty acid profiles were investigated to determine optimal drying conditions that preserve fatty acid (FA) quality and associated nutritional benefits. Results showed that drying methods had a significant effect (p < 0.05) on fatty acid composition and yield, resulting in different amounts of palmitic, oleic, linoleic, and linolenic acids as major FAs compared to fresh pulp. The saturated FA content was higher in CD pulp (up to 42.37%), followed by HAD and VAD. Oleic acid, as the most important representative of monounsaturated FAs, came from VAD (up to 30.64%). Linoleic and linolenic acid, as the most important polyunsaturated FAs of the omega-6 and omega-3 fatty acids, were found in higher proportions in CD pulp at 50 and 60 °C (up to 31.12%) and HAD pulp at 60 and 70 °C with an airflow velocity of 1.5 m/s (up to 39.70%). In addition, the peel and seeds, the by-products resulting from the processing of the fruit pulp, were also evaluated with regard to the fatty acid profile. Two fractions also contained the four major FAs in representative amounts, indicating their valuable reuse. Full article
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) Profile of saturated fatty acids (SFAs) in fresh and HAD, VAD, and CD pumpkin pulp. Values are means ± standard deviations of three (<span class="html-italic">n</span> = 3) measurements. Different lowercase letters in the same column indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) between drying methods (HAD—hot air drying: 50, 60, and 70 °C, and 0.5, 1.0, and 1.5 m/s, VAD—vacuum drying, CD—conductive drying under atmospheric pressure) and conditions. (<b>b</b>) Total content of saturated fatty acids (SFAs) in fresh and HAD, VAD, and CD pumpkin pulp. Values are means ± standard deviations of three (<span class="html-italic">n</span> = 3) measurements. Different lowercase letters in the same column indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) between drying methods (HAD—hot air drying: 50, 60, and 70 °C, and 0.5, 1.0, and 1.5 m/s, VAD—vacuum drying, CD—conductive drying under atmospheric pressure) and conditions.</p>
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<p>(<b>a</b>) Profile of saturated fatty acids (SFAs) in fresh and HAD, VAD, and CD pumpkin pulp. Values are means ± standard deviations of three (<span class="html-italic">n</span> = 3) measurements. Different lowercase letters in the same column indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) between drying methods (HAD—hot air drying: 50, 60, and 70 °C, and 0.5, 1.0, and 1.5 m/s, VAD—vacuum drying, CD—conductive drying under atmospheric pressure) and conditions. (<b>b</b>) Total content of saturated fatty acids (SFAs) in fresh and HAD, VAD, and CD pumpkin pulp. Values are means ± standard deviations of three (<span class="html-italic">n</span> = 3) measurements. Different lowercase letters in the same column indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) between drying methods (HAD—hot air drying: 50, 60, and 70 °C, and 0.5, 1.0, and 1.5 m/s, VAD—vacuum drying, CD—conductive drying under atmospheric pressure) and conditions.</p>
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<p>Profile of monounsaturated fatty acids (MUFAs) in fresh and HAD, VAD, and CD pumpkin pulp. Values are means ± standard deviations of three (<span class="html-italic">n</span> = 3) measurements. Different lowercase letters in the same column indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) between drying methods (HAD—hot air drying: 50, 60, and 70 °C, and 0.5, 1.0, and 1.5 m/s, VAD—vacuum drying, CD—conductive drying under atmospheric pressure) and conditions.</p>
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<p>Profile of polyunsaturated fatty acids (PUFAs) in fresh and HAD, VAD, and CD pumpkin pulp. Values are means ± standard deviations of three (<span class="html-italic">n</span> = 3) measurements. Different lowercase letters in the same column indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) between drying methods (HAD—hot air drying: 50, 60, and 70 °C, and 0.5, 1.0, and 1.5 m/s, VAD—vacuum drying, CD—conductive drying under atmospheric pressure) and conditions.</p>
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<p>Profile of total omega-6 and total omega-3 polyunsaturated fatty acids (PUFAs) in fresh and HAD, VAD, and CD pumpkin pulp. Values are means ± standard deviations of three (<span class="html-italic">n</span> = 3) measurements. Different lowercase letters in the same column indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) between drying methods (HAD—hot air drying: 50, 60, and 70 °C, and 0.5, 1.0, and 1.5 m/s, VAD—vacuum drying, CD—conductive drying under atmospheric pressure) and conditions.</p>
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<p>Profile of fatty acids (FAs) in pumpkin by-products (peel and seeds). Values are means ± standard deviations of three (<span class="html-italic">n</span> = 3) measurements. Different lowercase letters in the same column indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) between fatty acids (peel). Different uppercase letters in the same column indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) between fatty acids (seed).</p>
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22 pages, 735 KiB  
Article
Substrate Properties, Vegetative Growth, Chlorophyll Content Index and Leaf Mineral Content of Sweet Cherry Maiden Trees as Affected by Rootstock and Plant Growth-Promoting Rhizobacteria
by Šimun Kolega, Tomislav Kos, Marko Zorica, Šime Marcelić and Goran Fruk
Sustainability 2025, 17(1), 158; https://doi.org/10.3390/su17010158 (registering DOI) - 28 Dec 2024
Abstract
Sweet cherry (Prunus avium L.) is a valuable fruit crop for fresh consumption. Due to its early availability in season, it achieves relatively high prices on the market. Self-fertile cultivar Lapins is one of the world’s leading sweet cherry varieties. Intensive cherry [...] Read more.
Sweet cherry (Prunus avium L.) is a valuable fruit crop for fresh consumption. Due to its early availability in season, it achieves relatively high prices on the market. Self-fertile cultivar Lapins is one of the world’s leading sweet cherry varieties. Intensive cherry production seeks for new technologies such as using more adaptable rootstocks and microbiological products that could help plants adopt more sustainable growth in different soils/climates. The aim of this work is to determine the substrate properties, vegetative growth, leaf chlorophyll and mineral content of maiden trees grafted on three different rootstocks due to the application of growth-promoting rhizobacteria. A pot experiment was carried out on one-year-old maiden trees of cv. Lapins grafted on SL 64, MaxMa 14 and Gisela 5 and grown in 12 L plant pots filled with commercial substrate. Plant growth-promoting rhizobacteria Azospirillum brasilense was added by watering the plants with 1.12 g L−1 per pot once a month (T1) or every two months (T2) from March to September with seven treatments in T1 and four treatments in T2. At the same time, control (C) plants were watered with rainwater. Plant height, trunk circumference and leaf chlorophyll content index (CCI) were measured. In addition, shoot growth and internode number were measured in three development stages (BBCH 34, 39 and 91). The substrate and leaf samples were collected and analyzed in the laboratory in accordance with established procedures. Data were processed by ANOVA and the Tukey test. Results have showed that rootstock affected substrate electrical conductivity (EC); nitrate (NO3), phosphorous (P2O5), calcium (Ca) and magnesium (Mg) content, including mineral nitrogen (N) content; tree height, circumference, shoot length and internode number; the leaf chlorophyll content index (CCI); and leaf potassium (K), Ca and Mg content. Furthermore, treatment significantly affected the CCI, average internode length, ammonia (NH4+) and Ca content in the substrate and leaf N, Ca and Mg content. Rhizobacteria A. brasilense can be used as an additional biofertilizer in sustainable agricultural practices for obtaining healthier sweet cherry maiden trees, but microbial biotechnology rules must be respected. Full article
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<p>Mean, maximum and minimum daily temperature and monthly precipitation for the meteorological station in Zadar, year 2022 [<a href="#B66-sustainability-17-00158" class="html-bibr">66</a>].</p>
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<p>Factor interaction on electrical conductivity in the substrate of cv. Lapins grown on three different rootstocks. Columns represent the mean value ± se. Statistically significant differences in the mean values of factor interaction are shown in lowercase letters (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Factor interaction on K<sub>2</sub>O concentration in the substrate of cv. Lapins grown on three different rootstocks. Columns represent the mean value ± se. Statistically significant differences in the mean values of factor interaction are shown in lowercase letters (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Factor interaction on Mg concentration in the substrate of cv. Lapins grown on three different rootstocks. Columns represent the mean value ± se. Statistically significant differences in the mean values of factor interaction are shown in lowercase letters (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Factor interaction on the shoot circumferences of cv. Lapins grown on three different rootstocks. Columns represent the mean value ± se. Statistically significant differences in the mean values of factor interaction are shown in lowercase letters (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Factor interaction on the P content in leaves of cv. Lapins grown on three different rootstocks. Columns represent the mean value ± se. Statistically significant differences in the mean values of factor interaction are shown in lowercase letters (<span class="html-italic">p</span> ≤ 0.05).</p>
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22 pages, 2251 KiB  
Article
Evaluating Anesthesia Guidance for Rescue Analgesia in Awake Patients Undergoing Carotid Endarterectomy with Cervical Plexus Blocks: Preliminary Findings from a Randomized Controlled Trial
by Michał Jan Stasiowski, Nikola Zmarzły and Beniamin Oskar Grabarek
J. Clin. Med. 2025, 14(1), 120; https://doi.org/10.3390/jcm14010120 (registering DOI) - 28 Dec 2024
Abstract
Background/Objectives: Eversion carotid endarterectomy (CEA) in awake patients is performed using cervical plexus blocks (CPBs) with or without carotid artery sheath infiltration (CASI) under ultrasound guidance. Although adequacy of anesthesia (AoA) guidance monitors nociception/antinociception balance, its impact on intraoperative analgesia quality and perioperative [...] Read more.
Background/Objectives: Eversion carotid endarterectomy (CEA) in awake patients is performed using cervical plexus blocks (CPBs) with or without carotid artery sheath infiltration (CASI) under ultrasound guidance. Although adequacy of anesthesia (AoA) guidance monitors nociception/antinociception balance, its impact on intraoperative analgesia quality and perioperative outcomes in awake CEA remains unexplored. Existing literature lacks evidence on whether AoA-guided anesthesia enhances clinical outcomes over standard techniques. This study aimed to assess the role of AoA guidance in improving intraoperative analgesia and perioperative outcomes in patients undergoing CEA with CPBs alone or with CASI compared to standard practice. Methods: A randomized controlled trial included 184 patients divided into three groups: CPBs with intravenous rescue fentanyl (IRF) and lidocaine (LID) guided by hemodynamic observation (C group), AoA-guided IRF and LID (AoA group), and AoA-guided IRF, LID, and CASI (AoA-CASI group). Primary outcomes included perioperative adverse events, and secondary outcomes assessed rescue medication demand and hemodynamic stability. Results: Analysis of 172 patients revealed no significant differences between groups in perioperative adverse events or hemodynamic parameters (p > 0.05). However, the AoA-CASI group demonstrated significantly reduced IRF and LID usage compared to the C and AoA groups (p < 0.001). No significant advantage was observed between the AoA and C groups regarding adverse events (p = 0.1). Conclusions: AoA-guided anesthesia with or without CASI does not significantly reduce perioperative adverse events or improve hemodynamic stability in awake CEA. Clinical implications suggest that focusing on surgical technique optimization may yield greater benefits in reducing adverse events compared to advanced anesthetic monitoring. Further studies are warranted to explore alternative approaches to enhance clinical outcomes. Full article
(This article belongs to the Special Issue Current Clinical Management of Regional Analgesia and Anesthesia)
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<p>Randomization graph. C, classic technique; AoA, Adequacy of Anesthesia; CASI, carotid artery sheath infiltration.</p>
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<p>Hemodynamic stability during eversion CEA in the study groups. The dashed red line indicates a MAP of 65 mmHg, which is the threshold below which intraoperative hypotension occurs. C, classic technique; AoA, Adequacy of Anesthesia; CASI, carotid artery sheath infiltration; HR, heart rate; SAP, systolic blood pressure; MAP, mean arterial pressure; DAP, diastolic arterial pressure.</p>
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<p>Incidence of neurological complications according to group allocation. C, classic technique; AoA, Adequacy of Anesthesia; CASI, carotid artery sheath infiltration.</p>
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<p>Number of patients requiring rescue interventions in the study groups. C, classic technique; AoA, Adequacy of Anesthesia; CASI, carotid artery sheath infiltration.</p>
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<p>Cumulative dose of rescue interventions in the study groups. C, classic technique; AoA, Adequacy of Anesthesia; CASI, carotid artery sheath infiltration; IRF, intravenous rescue fentanyl; LID, lidocaine.</p>
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24 pages, 1558 KiB  
Article
Eco-Friendly Extraction of Phlorotannins from Padina pavonica: Identification Related to Purification Methods Towards Innovative Cosmetic Applications
by Moustapha Nour, Valérie Stiger-Pouvreau, Alain Guenneguez, Laurence Meslet-Cladière, Stéphane Cérantola, Ahmed Ali, Gaelle Simon, Abdourahman Daher and Sylvain Petek
Mar. Drugs 2025, 23(1), 15; https://doi.org/10.3390/md23010015 (registering DOI) - 28 Dec 2024
Viewed by 34
Abstract
This study focuses on developing innovative and eco-friendly purification methods for the isolation of bioactive compounds derived from Padina pavonica, a brown abundant macroalga in Djibouti. Three distinct fractions, obtained via liquid-liquid extraction (LLE_FAE), solid-phase extraction (SPE_WE50), and flash chromatography (FC_EtOH20), were [...] Read more.
This study focuses on developing innovative and eco-friendly purification methods for the isolation of bioactive compounds derived from Padina pavonica, a brown abundant macroalga in Djibouti. Three distinct fractions, obtained via liquid-liquid extraction (LLE_FAE), solid-phase extraction (SPE_WE50), and flash chromatography (FC_EtOH20), were selected based on their high phenolic content and antioxidant activities. All fractions were also evaluated for their anti-ageing potential by assessing their ability to inhibit two vital skin-ageing enzymes, tyrosinase and elastase. Structural analysis by 1H-13C HMBC NMR and LC-MS revealed a selectivity of phlorotannins depending on the purification methods. The LLE_FAE fraction exhibited greater structural complexity, including compounds such as phloroglucinol, diphlorethol/difucol, fucophlorethol and bifuhalol, which likely contribute to its enhanced bioactivity compared to the fractions obtained by FC_EtOH20 and SPE_WE50, which were also active and enriched only in phloroglucinol and fucophlorethol. These findings highlight the impact of purification techniques on the selective enrichment of specific bioactive compounds and demonstrated the interest of FC or SPE in producing active phlorotannin-enriched fractions. These two purification methods hold strong potential for innovative cosmeceutical applications. Results are discussed regarding the use of P. pavonica as a promising marine resource in Djibouti to be used for the development of cosmetic industry. Full article
(This article belongs to the Special Issue Marine Cosmeceuticals)
15 pages, 1639 KiB  
Case Report
Kenny–Caffey Syndrome Type 2 (KCS2): A New Case Report and Patient Follow-Up Optimization
by Kyriaki Hatziagapiou, Amalia Sertedaki, Vasiliki Dermentzoglou, Nataša Čurović Popović, George I. Lambrou, Louis Papageorgiou, Trias Thireou, Christina Kanaka-Gantenbein and Sophia D. Sakka
J. Clin. Med. 2025, 14(1), 118; https://doi.org/10.3390/jcm14010118 (registering DOI) - 28 Dec 2024
Viewed by 60
Abstract
Background/Objectives: Kenny–Caffey syndrome 2 (KCS2) is a rare cause of hypoparathyroidism, inherited in an autosomal dominant mode, resulting from pathogenic variants of the FAM111A gene, which is implicated in intracellular pathways regulating parathormone (PTH) synthesis and skeletal and parathyroid gland development. Methods: [...] Read more.
Background/Objectives: Kenny–Caffey syndrome 2 (KCS2) is a rare cause of hypoparathyroidism, inherited in an autosomal dominant mode, resulting from pathogenic variants of the FAM111A gene, which is implicated in intracellular pathways regulating parathormone (PTH) synthesis and skeletal and parathyroid gland development. Methods: The case of a boy is reported, presenting with the characteristic and newly identified clinical, biochemical, radiological, and genetic abnormalities of KCS2. Results: The proband had noticeable dysmorphic features, and the closure of the anterior fontanel was delayed until the age of 4 years. Biochemical evaluation at several ages revealed persistent hypocalcemia, high normal phosphorous, and inappropriately low normal PTH. To exclude other causes of short stature, the diagnostic approach revealed low levels of IGF-1, and on CNS MRI, small pituitary gland and empty sella. Nocturnal levels of growth hormone were normal. MRI also revealed bilateral symmetrical microphthalmia and torturous optic nerves. Skeletal survey was compatible with cortical thickening and medullary stenosis of the long bones. Genomic data analysis revealed a well-known pathogenic variant of the FAM111A gene (c.1706G>A, p. R569H), which is linked with KCS2 or nanophthalmos. Conclusions: KCS2, although a rare disease, should be included in the differential diagnosis of hypoparathyroidism and short stature. Understanding the association of pathogenic variants with KCS2 phenotypic variability will allow the advancement of clinical genetics and personalized long-term follow-up and will offer insights into the role of the FAM111A gene in the disease pathogenesis and normal embryogenesis of implicated tissues and organs. Full article
(This article belongs to the Special Issue Endocrine Disorders in Children)
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<p>Anthropometric measurements: height (cm), weight (kg), head circumference (cm), and BMI (kg/m<sup>2</sup>) of the proband (WHO Child Growth Standards) [<a href="#B23-jcm-14-00118" class="html-bibr">23</a>].</p>
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<p>(<b>A</b>) T1-w midsagittal image shows hypoplasia of the anterior pituitary with a concave surface and almost empty sella appearance (arrow). The stalk is normal, and the posterior pituitary is orthotopic. (<b>B</b>) T2-w sagittal image demonstrates tortuosity of the optic nerve (arrow) and dilatation of the subarachnoid space surrounding its anterior portion (arrowhead). (<b>C</b>) T1-w axial image depicts bilateral symmetrical microphthalmia. X-rays of the (<b>D</b>) femur, (<b>E</b>) tibia, and (<b>F</b>) humerus show increased cortical thickness of the diaphysis, with mild narrowing of the medullary cavities. Relative flaring of the proximal tibial metaphysis.</p>
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<p>The <span class="html-italic">FAM111A</span> gene variants associated with KCS2 and other related diseases. Pathogenic variants that have been directly associated with KCS2 (red) and likely pathogenic variants (yellow).</p>
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28 pages, 2810 KiB  
Article
Physics-Constrained Deep Learning for Security Ink Colorimetry with Attention-Based Spectral Sensing
by Po-Tong Wang, Chiu Wang Tseng and Li-Der Fang
Sensors 2025, 25(1), 128; https://doi.org/10.3390/s25010128 (registering DOI) - 28 Dec 2024
Viewed by 63
Abstract
The proliferation of sophisticated counterfeiting poses critical challenges to global security and commerce, with annual losses exceeding $2.2 trillion. This paper presents a novel physics-constrained deep learning framework for high-precision security ink colorimetry, integrating three key innovations: a physics-informed neural architecture achieving unprecedented [...] Read more.
The proliferation of sophisticated counterfeiting poses critical challenges to global security and commerce, with annual losses exceeding $2.2 trillion. This paper presents a novel physics-constrained deep learning framework for high-precision security ink colorimetry, integrating three key innovations: a physics-informed neural architecture achieving unprecedented color prediction accuracy (CIEDE2000(ΔE00): 0.70 ± 0.08, p < 0.001), advanced attention mechanisms improving feature extraction efficiency by 58.3%, and a Bayesian optimization framework ensuring robust parameter tuning. Validated across 1500 industrial samples under varying conditions (±2 °C, 30–80% RH), this system demonstrates substantial improvements in production efficiency with a 50% reduction in rejections, a 35% decrease in calibration time, and 96.7% color gamut coverage. These achievements establish new benchmarks for security printing applications and provide scalable solutions for next-generation anti-counterfeiting technologies, offering a promising outlook for the future. Full article
(This article belongs to the Special Issue Signal Processing and Machine Learning for Sensor Systems)
27 pages, 5539 KiB  
Article
Influence of Physicochemical Properties of Oil Sludge on Syngas Production for Energy Applications
by Hiago Oliveira, Isabela Pinheiro, Ana Ramos, Osvaldo Venturini, Adriano Mariano and York Santiago
Resources 2025, 14(1), 8; https://doi.org/10.3390/resources14010008 (registering DOI) - 28 Dec 2024
Viewed by 80
Abstract
Oil sludge (OS) is a hazardous waste generated in the refinery and platform production chain. Its recovery is globally limited by methods like incineration, landfilling, and stabilization, which are costly and environmentally harmful. In Brazil, advanced techniques such as gasification are still underdeveloped [...] Read more.
Oil sludge (OS) is a hazardous waste generated in the refinery and platform production chain. Its recovery is globally limited by methods like incineration, landfilling, and stabilization, which are costly and environmentally harmful. In Brazil, advanced techniques such as gasification are still underdeveloped compared to established practices elsewhere. This study aims to characterize the chemical and physical properties of OS to enable its recovery through energy methods, reducing environmental impacts. OS samples from oil storage tanks were analyzed using mass spectrometry, thermogravimetry, atomic absorption, proximate analysis, X-ray fluorescence, and X-ray diffraction. The viscosity was approximately 34,793 cP, with 36.41% carbon and 56.80% oxygen. The ash content was 43.218% (w/w), and the lower and upper heating values were 17.496 and 19.044 MJ/kg, respectively. Metal analysis identified lead, vanadium, manganese, and chromium. The high ash content of OS reduced gasification temperatures, increasing char yield (44.6%). Increasing the equivalence ratio (ER) led to higher gasification temperatures, producing energetic species such as H2, CH4, and CO, raising the calorific value of the resulting syngas. Subsequently, this syngas was used in gas turbine models with GasTurb software 14.0, achieving electrical output and thermal efficiency of 66.9 kW and 22.4%, respectively. OS is a persistent waste requiring gasification treatment, offering a promising solution that converts these residues into valuable syngas for energy conversion with minimal environmental impact. Full article
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<p>Oil sludge sample (authors’ own creation).</p>
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<p>Elemental analysis process diagram (authors’ own creation).</p>
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<p>Schematic diagram of thermogravimetric analysis (authors’ own creation)<b>.</b></p>
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<p>Schematic diagram of atomic absorption analysis (authors’ own creation).</p>
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<p>Schematic of the entrained flow reactor used in the simulation (<b>a</b>); schematic of the fixed bed reactor used in the simulation (<b>b</b>), adapted from [<a href="#B50-resources-14-00008" class="html-bibr">50</a>].</p>
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<p>Schematic of gas turbine, adapted from GasTurb.</p>
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<p>Viscosity curve of the oil sludge used in this study (authors’ own creation).</p>
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<p>X-ray diffractogram of the petroleum sludge used in the study (authors’ own creation).</p>
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<p>Phases identified in the oil sludge used in the study (authors’ own creation).</p>
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<p>Temperature profiles in the bed for both (<b>a</b>) fixed bed and (<b>b</b>) entrained flow reactors (authors’ own creation).</p>
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<p>Molar profile in the bed for (<b>a</b>) C1, (<b>b</b>) C2, (<b>c</b>) C3, and (<b>d</b>) C4 (authors’ own creation).</p>
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<p>Temperature profile in various ERs for both (<b>a</b>) fixed bed and (<b>b</b>) entrained flow reactors (authors’ own creation).</p>
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<p>Char yield in different cases and ER (authors’ own creation).</p>
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<p>Thermal efficiency and thermal power for the different cases studied (authors’ own creation).</p>
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<p>Irreversibility of the gasifier, compressor, combustor, and turbine in the considered system (authors’ own creation).</p>
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14 pages, 2170 KiB  
Article
The Characteristics of Sex Differentiation Based on Morphological Traits During the Early Development Stage of the Swimming Crab Portunus trituberculatus and Sex Prediction Model Comparison
by Yanqing Peng, Junkai Lu, Ronghua Li, Chendong Xu, Shangbiao Zheng, Zhiming Ren, Chuan He, Changkao Mu, Weiwei Song and Chunlin Wang
Fishes 2025, 10(1), 8; https://doi.org/10.3390/fishes10010008 (registering DOI) - 28 Dec 2024
Viewed by 108
Abstract
To investigate the morphological traits of different sexes during the early development stage of the swimming crab Portunus trituberculatus, the genetic sex of 405 crablets from stages C I–V was determined using sex-linked molecular markers. The external appearance of each crab was [...] Read more.
To investigate the morphological traits of different sexes during the early development stage of the swimming crab Portunus trituberculatus, the genetic sex of 405 crablets from stages C I–V was determined using sex-linked molecular markers. The external appearance of each crab was observed, and the morphological traits, including carapace length (CL), full carapace width (FCW), abdomen width (AW), and abdomen length (AL), were measured to compare the differences between the sexes and to develop non-intrusive methods for sex identification. The genetic sex identification demonstrated that the female-to-male sex ratio at each stage did not deviate from 1:1. The gonopores of the females were first observed at stage C I using a scanning electron microscope; however, the shape difference in the abdominal flap between the sexes from stages C I to stage C V were not observed under a dissecting microscope. Correlation analysis showed that AW3 and AW4 were significantly correlated with sex at stage C V. Three methods were used to predict the sex of the crablets according to the morphological measurements; among them, the multinomial logistic regression (MLR) model performed better than the threshold method or the stepwise discriminant analysis, and the accuracy at stage C V increased to 90% when detailed abdominal parameters were included. These results indicate that it is feasible to predict sex during the early development stages of P. trituberculatus through morphometric and geometric parameters, which would be helpful for the creation of monosex populations of this species. Full article
(This article belongs to the Section Aquatic Invertebrates)
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<p>Schematic diagrams of <span class="html-italic">P. trituberculatus</span>: (<b>A</b>) Dorsal measurement indices. (<b>B</b>) Measurement indices at abdomen. CL (carapace length), FCW (full carapace width), AW1 (first abdomen width), AW2 (second abdomen width), AW3 (third abdomen width), AW4 (fourth abdomen width), AW5 (fifth abdomen width), AL (abdomen length), first abdomen length (AL1), second abdomen length (AL2), third abdomen length (AL3), fourth abdomen length (AL4), fifth abdomen length (AL5), and artificial variables (S1, S2, S3, S4, S5) represent the areas of triangles or trapezoids of different parts of crab abdomen.</p>
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<p>Genetic sex identification of crablets at different development stages.</p>
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<p>Abdominal morphology of <span class="html-italic">P. trituberculatus</span> crablets. (<b>A</b>) Example of abdomen measurement parameters (CV-F). (<b>B</b>) The external morphology of the abdomen at different development stages of male and female <span class="html-italic">P. trituberculatus</span> crablets. F, female; M, male. Note: measurement indices of abdomen in diagram (<b>A</b>) were the same as <a href="#fishes-10-00008-f001" class="html-fig">Figure 1</a>B.</p>
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<p>The gonopores characteristics of juvenile female crabs in C I–C V. GP: gonopores; 1–5: the first to fifth thoracic sternite.</p>
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<p>The gonopores characteristics of juvenile female crabs in C I–C V. GP: gonopores; 1–5: the first to fifth thoracic sternite.</p>
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21 pages, 5817 KiB  
Article
Application of Magnetic Aquatic Plant Biochar for Efficient Removal of Antimony from Water: Adsorption Properties and Mechanism
by Luyi Nan, Yuting Zhang, Min Liu, Liangyuan Zhao, Yuxuan Zhu and Xun Zhang
Separations 2025, 12(1), 2; https://doi.org/10.3390/separations12010002 (registering DOI) - 28 Dec 2024
Viewed by 137
Abstract
Antimony (Sb) pollution in natural water bodies can cause significant harm to aquatic ecosystems. Currently, the utilization of chemicals in water bodies presents disadvantages, such as the hardship in collecting dispersed flocs and the incomplete elimination of pollutants. In the present research, a [...] Read more.
Antimony (Sb) pollution in natural water bodies can cause significant harm to aquatic ecosystems. Currently, the utilization of chemicals in water bodies presents disadvantages, such as the hardship in collecting dispersed flocs and the incomplete elimination of pollutants. In the present research, a novel type of efficient adsorbent material for the magnetic recovery of Sb was proposed: the magnetic aquatic plant biochar. Its adsorption characteristics and mechanism were deeply investigated. The results demonstrated that, among the three types of aquatic plants, the magnetic biochar of Arundo donax magnetic biochar (LMBC) displayed the most superior adsorption effect on Sb. Under optimal adsorption conditions (pyrolysis temperature of 300 °C, dosage of 100 mg, pH of 8), the removal rate of Sb by LMBC exceeded 97%. The adsorption rate of Sb by LMBC was relatively rapid, and the kinetics of adsorption conformed to a pseudo-second-order kinetic model. The adsorption isotherm was consistent with the Langmuir and Freundlich models, and the maximum adsorption capacity of Sb reached 26.07 mg/g, suggesting that the adsorption process pertained to the adsorption of multi-molecular layers. The influence of coexisting ions on the adsorption effect of LMBC was insignificant. The SEM characterization results revealed that LMBC mainly consisted of the elements C and O. The BET characterization results demonstrated that the magnetization modification augmented the specific surface area by approximately 30 times to reach 89.14 m2/g, and the pore volume increased by twofold to 0.18 cm3/g, creating a favorable condition for Sb adsorption. The FTIR, XRD, and XPS results indicated that the surface of LMBC was rich in carboxyl and hydroxyl groups and was successfully loaded with Fe2O3 and Fe3O4. LMBC not only facilitates the resourceful utilization of aquatic plant waste but also effectively removes antimony (Sb) pollution through its magnetic properties. This dual functionality presents promising application prospects for the efficient adsorption and removal of Sb from water. Full article
(This article belongs to the Special Issue Adsorption of Emerging Water Pollutants by Advanced Materials)
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<p>The preparation process of the biochars and magnetic biochars.</p>
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<p>Adsorption and desorption isothermal curves of LBC (<b>a</b>) and LMBC (<b>b</b>).</p>
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<p>Scanning electron micrographs of LBC and LMBC before and after adsorption. (<b>a</b>) LBC-before adsorption; (<b>b</b>) LBC-after adsorption; (<b>c</b>) LMBC-before adsorption; (<b>d</b>) LMBC-after adsorption.</p>
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<p>C, N, O, and Fe energy spectrum fluorescence of LBC and LMBC.</p>
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<p>The FTlR results of LBC and LMBC before and after absorption.</p>
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<p>XRD pattern of LBC and LMBC before and after adsorption.</p>
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<p>XPS spectra of LMBC before and after adsorption. (<b>a</b>) Full spectrum; (<b>b</b>) C1s fine spectrum; (<b>c</b>) O1s fine spectrum; (<b>d</b>) Fe2p fine spectrum; and (<b>e</b>) Sb3d fine spectrum.</p>
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<p>XPS spectra of LMBC before and after adsorption. (<b>a</b>) Full spectrum; (<b>b</b>) C1s fine spectrum; (<b>c</b>) O1s fine spectrum; (<b>d</b>) Fe2p fine spectrum; and (<b>e</b>) Sb3d fine spectrum.</p>
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<p>Magnetization curve of LMBC.</p>
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<p>(<b>a</b>) Effect of biochar and magnetic biochar prepared by different aquatic plant species; (<b>b</b>) effect of biochar and magnetic biochar dosage; (<b>c</b>) effect of initial pH; and (<b>d</b>) effect of ionic strength. “****”: the number of asterisks denotes the level of statistical significance, with four asterisks indicating a <span class="html-italic">p</span>-value of less than 0.0001, signifying a highly significant difference between LBC and LMBC.</p>
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<p>(<b>a</b>) Adsorption kinetics of LBC; (<b>b</b>) adsorption kinetics of LMBC; (<b>c</b>,<b>d</b>) adsorption isotherm of LBC; and (<b>e</b>,<b>f</b>) adsorption isotherm of LMBC (experimental conditions: 150 mL of 5 mg/L Sb solution with 100 mg LMBC at the initial pH of 8).</p>
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<p>Schematic diagram of the mechanism of Sb adsorption and removal by LMBC.</p>
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16 pages, 2634 KiB  
Article
Optimized Production of Fungal Polygalacturonase Using Cupuaçu (Theobroma grandiflorum) Peel as Substrate and Its Effect on Clarification of Cupuaçu Juice
by Lucas de S. Falcão, Trisha E. de A. Monteiro, Thaís S. do Amaral, Sthéfanny C. M. Azevedo, Bárbara N. Batista, António M. Jordão and Patrícia M. Albuquerque
Beverages 2025, 11(1), 6; https://doi.org/10.3390/beverages11010006 (registering DOI) - 28 Dec 2024
Viewed by 88
Abstract
Pectinolytic enzymes play a key role in many beverages manufacturing processes, improving their clarification and filtration steps. Fungal pectinases are considered promising green catalysts for industrial applications, and they can be produced using fruit-processing residues as substrate. In this study, we investigated the [...] Read more.
Pectinolytic enzymes play a key role in many beverages manufacturing processes, improving their clarification and filtration steps. Fungal pectinases are considered promising green catalysts for industrial applications, and they can be produced using fruit-processing residues as substrate. In this study, we investigated the optimal conditions to produce polygalacturonase from Aspergillus brasiliensis in a solid-phase bioprocess, using cupuaçu (Theobroma grandiflorum) peel as substrate. Then, the pectinolytic extract was applied in the clarification of cupuaçu juice. A central composite design was used to determine the optimal fungal cultivation conditions. Thus, the optimal fungal cultivation (maximum production of 11.81 U/g of polygalacturonase) was obtained using cupuaçu peel with 80% moisture, at 34 °C, for 7 days in a medium containing 4.2% phosphorus and 2.6% nitrogen. The enzymatic extract showed greater activity at 60 °C and stability at a pH range between 5.0 and 7.0. The pectinolytic extract was able to clarify the cupuaçu juice, causing a 53.95% reduction in its turbidity and maintaining its antioxidant activity. Our results demonstrate that the cupuaçu peel can be used as a substrate to produce polygalacturonase, and the enzymatic extract produced can be applied in the cupuaçu juice processing, contributing to the circular economy. Full article
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<p>Response surface plots generated by the central composite design indicating the optimized variables: (<b>a</b>) cultivation time (t) and phosphorous source (P); (<b>b</b>) cultivation time (t) and nitrogen source (N); (<b>c</b>) phosphorous source (P) and nitrogen source (N) for polygalacturonase activity (EA) using <span class="html-italic">Aspergillus brasiliensis</span> on cupuaçu peel.</p>
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<p>Enzymatic activity of the pectinolytic extract produced by <span class="html-italic">Aspergillus brasiliensis</span> on cupuaçu peel at different temperatures (<b>a</b>) and at different pH values (<b>b</b>). The values that share the same letter do not present a statistically significant difference between them, according to the Tukey test (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>(<b>a</b>) Pareto chart for the effects of independent variables on the absorbance reduction of cupuaçu juice. (<b>b</b>) Response surface for the interaction of the independent variables on cupuaçu juice clarification, using the pectinolytic extract produced by <span class="html-italic">Aspergillus brasiliensis</span> on cupuaçu peel. T = temperature of the clarification process; t = time of the clarification process; El = enzyme loading; AR = absorbance reduction at 400 nm (based on the absorbance of the untreated juice).</p>
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<p>Pareto chart for the effects of independent variables on the antioxidant activity of the clarified cupuaçu juice; 1 = temperature of the clarification process (T); 2 = time of the clarification process (t); and 3 = enzyme loading (El).</p>
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<p>Response surface for the interaction of (<b>a</b>) time and temperature of clarification, and (<b>b</b>) time and enzyme loading, on the antioxidant activity of the clarified cupuaçu juice. AA = antioxidant activity determined by the DPPH method. T = temperature of the clarification process; t = time of the clarification process; El = enzyme loading.</p>
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10 pages, 1159 KiB  
Article
Endothelial Glycocalyx Damage and Arterial Thickness in Patients with Retinal Vein Occlusion (RVO)
by Emmanouil Korakas, George Pavlidis, Stamatios Lampsas, Chrysa Agapitou, Alexia Risi-Koziona, Aikaterini Kountouri, Loukia Pliouta, Konstantinos Katogiannis, Sotirios Pililis, John Thymis, Evangelos Oikonomou, Gerasimos Siasos, Ignatios Ikonomidis, Vaia Lambadiari and Irini Chatziralli
J. Clin. Med. 2025, 14(1), 111; https://doi.org/10.3390/jcm14010111 (registering DOI) - 28 Dec 2024
Viewed by 120
Abstract
Background: Retinal vein occlusion (RVO) is a relatively uncommon condition with a complex pathophysiology. However, its association with traditional cardiovascular risk factors is well established. In this study, we compared arterial stiffness and endothelial function between patients with RVO and healthy controls. [...] Read more.
Background: Retinal vein occlusion (RVO) is a relatively uncommon condition with a complex pathophysiology. However, its association with traditional cardiovascular risk factors is well established. In this study, we compared arterial stiffness and endothelial function between patients with RVO and healthy controls. Methods: We enrolled 28 consecutive patients with RVO, either central (CRVO) or branch (BRVO), and 30 healthy controls. We measured: (i) perfused boundary region of the sublingual arterial microvessels (a marker of endothelial glycocalyx thickness), (ii) pulse wave velocity (PWV), augmentation index (AIx), and central systolic blood pressure (cSBP). Results: No statistically significant differences regarding age, gender, and major cardiovascular risk factors were noted between patients and controls. Compared to controls, patients with RVO had higher PBR, PWV, AIx, and cSBP values (p < 0.05). For each of these indices, no statistically significant differences were noted between patients with CRVO and BRVO (p > 0.05). Conclusions: Patients with RVO demonstrated reduced endothelial glycocalyx thickness and increased arterial stiffness compared to healthy controls. These findings further elucidate the role of atherosclerosis and endothelial dysfunction in the pathophysiology of the disease and indicate the need for the evaluation of subclinical cardiovascular disease in such patients. Full article
(This article belongs to the Section Ophthalmology)
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<p>Comparison of PBR values between patients and controls. Both CRVO and BRVO patients had significantly higher PBR values than controls, but no statistically significant differences were noted between CRVO and BRVO patients. CRVO: central retinal vein occlusion; BRVO: branch retinal vein occlusion; PBR: perfused boundary region.</p>
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<p>Comparison of cSBP values between patients and controls. Both CRVO and BRVO patients had significantly higher PBR values than controls, but no statistically significant differences were noted between CRVO and BRVO patients. CRVO: central retinal vein occlusion; BRVO: branch retinal vein occlusion; cSBP: central systolic blood pressure.</p>
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<p>Comparison of AIx values between patients and controls. CRVO, but not BRVO, patients had significantly higher AIx values than controls. No statistically significant differences were noted between CRVO and BRVO patients. CRVO: central retinal vein occlusion; BRVO: branch retinal vein occlusion; AIx: augmentation index.</p>
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<p>Comparison of PWV values between patients and controls. Both CRVO and BRVO patients had significantly higher PWV values than controls. No statistically significant differences were noted between CRVO and BRVO patients. CRVO: central retinal vein occlusion; BRVO: branch retinal vein occlusion; PWV: pulse wave velocity.</p>
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<p>Correlation between pulse wave velocity (PWV) and perfused boundary region (PBR) of the sublingual microvessels with diameter between 5 and 25 μm in patients with retinal vein occlusion.</p>
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<p>Correlation between pulse wave velocity (PWV) and augmentation index (AIx) in patients with retinal vein occlusion.</p>
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11 pages, 2522 KiB  
Article
Ultrasound Features of Helicobacter pylori-Related Gastritis
by Fulvia Terracciano, Antonella Marra, Veronica Nassisi, Chiara Lillo, Fabrizio Bossa, Sonia Carparelli, Francesco Cocomazzi, Maria Rosa Valvano, Giuseppe Losurdo, Alfredo Di Leo and Francesco Perri
Antibiotics 2025, 14(1), 12; https://doi.org/10.3390/antibiotics14010012 (registering DOI) - 28 Dec 2024
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Abstract
Background Abdominal ultrasound (US) is a reliable method for visualizing gastric wall layers and measuring their thickness. The objective of this study is to characterize the ultrasound features of H. pylori-induced gastritis and assess its predictive potential role for this condition. Methods [...] Read more.
Background Abdominal ultrasound (US) is a reliable method for visualizing gastric wall layers and measuring their thickness. The objective of this study is to characterize the ultrasound features of H. pylori-induced gastritis and assess its predictive potential role for this condition. Methods A cohort of 119 patients underwent gastroscopy with biopsy and abdominal US to evaluate antral wall thickness (AWT), submucosal wall thickness (SLT), mucosal wall thickness (MLT), gastric motility, and the presence of ingested material. They were divided into three groups: group A (normal mucosa without H. pylori infection), group B (gastritis H. pylori negative) and group C (gastritis H. pylori positive). Results: SLT and reduced gastric motility were significantly increased in the H. pylori gastritis group (p < 0.001). Multivariate analysis identified SLT as the only significant independent predictor of H. pylori gastritis (p < 0.001). An SLT threshold of 1.55 mm was determined as optimal for differentiating H. pylori-positive patients from -negative, yielding a sensitivity of 77% and a specificity of 72%. Conclusions These findings suggest that H. pylori gastritis is characterized by submucosal layer thickening and impaired gastric motility. Full article
(This article belongs to the Section Antibiotic Therapy in Infectious Diseases)
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<p>Stomach explored by convex probe containing food ingests in <span class="html-italic">Helicobacter pylori</span>-positive patient. The red arrow in the image indicates the presence of ingested material in the stomach.</p>
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<p>Transversal section of gastric antrum with different layers of the wall. The red line represents the anterior wall of the antrum, showing the normal alternation of layers. Starting from inside: lumen–mucosa interface, mucosa, submucosa, muscularis, and serosa. (<b>a</b>) Antrum in a patient without Hp-related gastritis, with a normal submucosal layer. (<b>b</b>) Antrum in a patient with Hp-related gastritis, showing a thickened submucosa, marked by a red arrow.</p>
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<p>ROC curve between group 1 (green line) and group 2 (blue line).</p>
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<p>Schematic representation of the alternation of the layers of the gastric wall.</p>
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12 pages, 1252 KiB  
Article
Impact of Sofosbuvir Plus Daclatasvir Therapy on the Frequency of CD200R+ Dendritic Cells in Chronic Hepatitis C Virus Infection
by Helal F. Hetta, Mohamed A. Mekky, Hani I. Sayed, Ahmed AbdElkader Soliman Mahran, Eman H. Salama, Douaa Sayed, Mariam E. Abdallah, Doaa Safwat Mohamed, Omnia El-Badawy and Mohamed A. El-Mokhtar
Immuno 2025, 5(1), 2; https://doi.org/10.3390/immuno5010002 (registering DOI) - 28 Dec 2024
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Abstract
Dendritic cells (DCs) play a crucial role in controlling viral infections. Little is known about the changes in frequencies of the DC subsets in patients with chronic hepatitis C (CHC), particularly in the era of interferon-free regimens. We aimed to evaluate the impact [...] Read more.
Dendritic cells (DCs) play a crucial role in controlling viral infections. Little is known about the changes in frequencies of the DC subsets in patients with chronic hepatitis C (CHC), particularly in the era of interferon-free regimens. We aimed to evaluate the impact of sofosbuvir/daclatasvir on the frequency of different peripheral DC subsets, the expression of the inhibitory CD200R and its ligand CD200 on DC, and their relation to the treatment outcome. A total of 1000 patients with CHC were enrolled and treated with a fixed oral dose of 400 mg of sofosbuvir and 60 mg of daclatasvir for 12 weeks. A total of 940 patients achieved sustained virologic response (SVR), and only 60 patients were non-responders (NRs). The frequencies of the peripheral plasmacytoid (pDC) and myeloid (mDCs) subsets and their surface expressions of CD200R and CD200 molecules were analyzed using flow cytometry. This analysis included 60 non-responders (NR group), 60 randomly selected sustained virologic responders (SVR group) at baseline, and at the end of treatment, and 60 healthy controls. HCV infection was associated with a down-regulation in the frequency of mDC, compared to healthy controls. In addition, mDC in HCV-infected patients showed lower levels of CD200R. However, neither the pDC frequency nor their CD200R expression was significantly altered. Interestingly, by the end of therapy, the frequencies of circulating mDCs and CD200R+mDC increased significantly in the SVR group and were even comparable to healthy controls. The levels of these cells were not normalized in the NR group. Percentages of mDCs and CD200R+mDC subsets showed good prognostic accuracy for predicting virologic response to therapy. Our results showed that HCV infection was associated with modulation of the mDC frequency and their surface expression of CD200R. Successful daclatasvir and sofosbuvir combined therapy was associated with the normalization of the percentages of mDC and CD200R+mDC. Full article
(This article belongs to the Section Infectious Immunology and Vaccines)
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<p><b>Gating strategy used to identify DC subsets and CD200R expression.</b> PBMCs were stained with anti-lineage cocktail (CD3/14/16/19/20/56), anti-HLA-DR, labeled anti-CD11c, anti-human CD123, and APC anti-CD200R. DC subsets were identified by specific phenotype gating and analyzed for the expression of CD200R (black-filled histograms) against an isotype-matched control (gray-filled histograms).</p>
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<p><b>Changes in the frequency of mDC and pDC subsets and their CD200R expression across different study groups.</b> (<b>A</b>) shows the percentage of myeloid dendritic cells (mDC), while (<b>B</b>) depicts the percentage of plasmacytoid dendritic cells (pDC). (<b>C</b>) presents the percentage of mDC expressing CD200R, and (<b>D</b>) illustrates the percentage of pDC expressing CD200R. <b>SVR</b>: patients who achieved sustained virological response; <b>NR</b>: Non-responders. Group comparisons were carried out using a paired <span class="html-italic">t</span>-test. Columns represent the mean, and error bars indicate the standard deviation.</p>
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<p>Receiver operating characteristic (ROC) curve analysis to determine the performance of the percentages of mDCs (<b>A</b>) and mDCs expressing CD200R (<b>B</b>) in predicting the SVR in DCV plus SOF-treated CHC patients.</p>
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22 pages, 6439 KiB  
Article
Role of Increasing Body Mass Index in Gut Barrier Dysfunction, Systemic Inflammation, and Metabolic Dysregulation in Obesity
by Fatima Maqoud, Francesco Maria Calabrese, Giuseppe Celano, Domenica Mallardi, Francesco Goscilo, Benedetta D’Attoma, Antonia Ignazzi, Michele Linsalata, Gabriele Bitetto, Martina Di Chito, Pasqua Letizia Pesole, Arianna Diciolla, Carmen Aurora Apa, Giovanni De Pergola, Gianluigi Giannelli, Maria De Angelis and Francesco Russo
Nutrients 2025, 17(1), 72; https://doi.org/10.3390/nu17010072 (registering DOI) - 28 Dec 2024
Viewed by 182
Abstract
Aims: This study explores the link between body mass index (BMI), intestinal permeability, and associated changes in anthropometric and impedance parameters, lipid profiles, inflammatory markers, fecal metabolites, and gut microbiota taxa composition in participants having excessive body mass. Methods: A cohort of 58 [...] Read more.
Aims: This study explores the link between body mass index (BMI), intestinal permeability, and associated changes in anthropometric and impedance parameters, lipid profiles, inflammatory markers, fecal metabolites, and gut microbiota taxa composition in participants having excessive body mass. Methods: A cohort of 58 obese individuals with comparable diet, age, and height was divided into three groups based on a priori clustering analyses that fit with BMI class ranges: Group I (25–29.9), Group II (30–39.9), and Group III (>40). Anthropometric and clinical parameters were assessed, including plasma C-reactive protein and cytokine profiles as inflammation markers. Intestinal permeability was measured using a multisaccharide assay, with fecal/serum zonulin and serum claudin-5 and claudin-15 levels. Fecal microbiota composition and metabolomic profiles were analyzed using a phylogenetic microarray and GC-MS techniques. Results: The statistical analyses of the clinical parameters were based on the full sample set, whereas a subset composed of 37 randomized patients was inspected for the GC/MS metabolite profiling of fecal specimens. An increase in potentially pro-inflammatory bacterial genera (e.g., Slackia, Dorea, Granulicatella) and a reduction in beneficial genera (e.g., Adlercreutzia, Clostridia UCG-014, Roseburia) were measured. The gas chromatography/mass spectrometry analysis of urine samples evidenced a statistically significant increase in m-cymen-8-ol, 1,3,5-Undecatriene, (E, Z) and a decreased concentration of p-cresol, carvone, p-cresol, and nonane. Conclusions: Together, these data demonstrated how an increased BMI led to significant changes in inflammatory markers, intestinal barrier metabolites, glucose metabolism, endocrine indicators, and fecal metabolomic profiles that can indicate a different metabolite production from gut microbiota. Our findings suggest that targeting intestinal permeability may offer a therapeutic approach to prevent and manage obesity and related metabolic complications, reinforcing the link between gut barrier function and obesity. Full article
(This article belongs to the Section Nutrition and Obesity)
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<p>A priori group stratification resulting from the DAPC analysis run using the clinical/biochemical and anthropometric complete parameter matrix obtained from the 58-patient set. Used eigen values have been colored in dark grey.</p>
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<p>Clinical/anthropometric a posterior sample stratification in the DAPC analysis. The a posterior group assignment was based on BMI grouping, such as overweight, type 1, 2, and type 3 obesity.</p>
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<p>DAPC loading and assignment plot based on the 58-patient sample’s clinical/biochemical and anthropometric parameters. (<b>A</b>) DAPC loading plot reporting the clinical/anthropometric variables that most impacted cluster separation. An arbitrary 0.02 threshold is used to show the above threshold variables. (<b>B</b>) The cell matrix reports the fitting between the “a priori” and the “a posterior” assignments.</p>
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<p>Comparison of glucose metabolism and endocrine indicators based on DAPC BMI stratification in overweight and obese subjects. Data are expressed as the mean ± standard deviation, and statistical analyses were performed using an ANOVA followed by a Tukey’s post hoc test. Statistically significant comparisons (<span class="html-italic">p</span> &lt; 0.05) are highlighted by a bold line and marked with an asterisk. Path coefficients and significance: * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. Measured parameters include (<b>a</b>) fasting plasma glucose, (<b>b</b>) fasting insulin, (<b>c</b>) HOMA-IR, (<b>d</b>) fasting obestatin, (<b>e</b>) fasting ghrelin.</p>
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<p>Levels of inflammatory markers in the 58 overweight and obese individuals grouped according to BMI categories. Data are expressed as the mean ± standard deviation, and statistical analyses were performed using an ANOVA followed by a Tukey’s post hoc test. Statistically significant comparisons (<span class="html-italic">p</span> &lt; 0.05) are highlighted by a bold line and marked with an asterisk. Path coefficients and significance: * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. Inflammatory marker sub-panels include (<b>a</b>) PCR, (<b>b</b>) IL-6, (<b>c</b>) IL-8, (<b>d</b>) IL-10, (<b>e</b>) TNF-alpha.</p>
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<p>Levels of biomarkers related to intestinal barrier function and integrity measured in the set composed of 58 patients. Data are expressed as the mean ± standard deviation, and statistical analyses were performed using an ANOVA followed by a Tukey’s post hoc test. Statistically significant comparisons (<span class="html-italic">p</span> &lt; 0.05) are highlighted by a bold line and marked with an asterisk. Path coefficients and significance: * <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; 0.0001. Sub-panels include (<b>a</b>) lac/man ration, IFAB-2 (<b>b</b>), (<b>c</b>) serum claudin 5.</p>
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<p>Linear regression analysis assessing the relationship between BMI and the intestinal permeability marker I-FABP.</p>
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<p>Levels of urinary indole, urinary skatole, and serum lipopolysaccharide (LPS) in the study cohort where the 58 patients have been grouped based on the DAPC BMI clusters. Data are expressed as the mean ± standard deviation, and statistical analyses were performed using an ANOVA followed by a Tukey’s post hoc test. <span class="html-italic">p</span>-values indicating significant differences (<span class="html-italic">p</span> &lt; 0.05) are highlighted by a bold line and marked with an asterisk. Path coefficients and significance: * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. The cut-off levels indicating dysbiosis were set at 20 mg/L for indican and 20 μg/L for skatole. Sub-panels of urinary markers include (<b>a</b>) indican, (<b>b</b>) skatole and, (<b>c</b>) LPS.</p>
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<p>Statistically significant urinary VOCs detected by metabolomic (GC/MS) analyses on 37 patient samples. Fold change analysis was joined with a Welch’s corrected test (BH multiple correction) based on taxa at the genus level. A dot size increase is representative of lower <span class="html-italic">p</span>-values. Log2(FC) values range from gray (lower) to red (higher). Increased and decreased VOC concentrations are relative to the first comparison member, i.e., Group II versus Group I (<b>A</b>). (<b>B</b>) Pairwise comparison between Group III and Group I samples.</p>
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<p>Statistically significant taxa volcano plot. Fold change analysis was joined with a Welch’s corrected test (BH multiple correction) based on taxa at the genus level. A dot size increase is representative of lower <span class="html-italic">p</span>-values. Log2(FC) values range from gray (lower) to red (higher). Increased and decreased VOC concentrations are relative to the first comparison member, i.e., Group II (<b>A</b>) versus Group I (<b>B</b>) pairwise comparison between Group III and Group II samples. (<b>C</b>) Comparison between Group II and Group I samples.</p>
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<p>Pearson’s correlations among the VOC, taxa, and clinical variables. Statistically significant VOC (black), clinical/anthropometrical (dark orange), and taxa (dark green) variable sets have been correlated via a Pearson’s test. Only inter-group variable correlations with a <span class="html-italic">p</span>-value equal/lower than 0.05 have been shown, and only correlations greater than 0.6 were flagged in bold black font. Positive and negative correlations were reported as red and blue bubbles, respectively. Based on inter- and intra-group variable comparison (taxa, VOC, and clinical variables), bubbles were placed on a light aqua or yellow background.</p>
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