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13 pages, 1343 KiB  
Article
Ketamine Reduces Avoidance Responses During Re-Exposition to Aversive Stimulus: Comparison Between (S)-Isomer and Racemic Mixture
by Clarissa A. Moura, Anne N. de Sousa-Silva, Ana Lívia Mesquita Soares, Carina I. de Oliveira Torres, Hindiael Belchior, Edilson D. da Silva Jr and Elaine C. Gavioli
Brain Sci. 2024, 14(12), 1291; https://doi.org/10.3390/brainsci14121291 - 22 Dec 2024
Viewed by 593
Abstract
Background/Objectives: Recent studies have investigated the effects of ketamine on fear memory in animals. However, it is unclear if ketamine might affect avoidance memory and emotional behaviors concomitantly. In this study, we compared the effects of (R,S)- and ( [...] Read more.
Background/Objectives: Recent studies have investigated the effects of ketamine on fear memory in animals. However, it is unclear if ketamine might affect avoidance memory and emotional behaviors concomitantly. In this study, we compared the effects of (R,S)- and (S)-ketamine in modulating avoidance responses, depression- and anxiety-related behaviors in stressed mice. Methods: Mice were previously exposed to inescapable footshock stress, and 24 h later, they were trained in the active avoidance task. (R,S)-ketamine or (S)-isomer was administered 1 h prior to re-exposition to the active avoidance task. Three hours after drug administration, mice were tested in the tail suspension, followed by the open field test. Results: Neither form of ketamine affected avoidance memory retrieval, while (S)-ketamine, and tangentially, (R,S) reduced avoidance responses during re-exposition to aversive stimulus. In the tail suspension test, (R,S)- and (S)-ketamine equally evoked antidepressant effects. In the open field test, the racemic mixture, but not (S)-ketamine, induced anxiolytic actions. Conclusions: These findings reinforce the therapeutic potential of ketamine for the treatment of stress-related disorders, with (R,S)-ketamine being more effective in simultaneously inducing antidepressant and anxiolytic responses and reducing avoidance responses in stressed mice. Full article
(This article belongs to the Section Neuropharmacology and Neuropathology)
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<p>Schematic representation of the experimental design. Mice were firstly exposed to inescapable footshock stress. Twenty-four hours later, they were subjected to the active avoidance task, which consisted of training and re-exposition sessions. One hour before the reexposition session of the active avoidance task, animals were treated with (<span class="html-italic">R</span>,<span class="html-italic">S</span>)-ketamine, (<span class="html-italic">S</span>)-ketamine (both at a dose of 10 mg/kg), or vehicle (ip). Approximately 3 h after treatment, the animals underwent the tail suspension test, followed by the open field test. Figure created in BioRender.com.</p>
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<p>Effects of (<span class="html-italic">R</span>,<span class="html-italic">S</span>)-ketamine, 10 mg/kg, ip, administered 1 h before the re-exposition session, on the active avoidance task performed in stressed mice. (<b>a</b>) Frequency of and (<b>c</b>) mean latency to escape from the electrified side of the box in the training and re-exposition sessions, and (<b>b</b>) frequency of and (<b>d</b>) mean latency to escape in the re-exposition session of the active avoidance task. Data represent the mean ± SEM, while dots represent individual performance. (<span class="html-italic">R</span>,<span class="html-italic">S</span>)-ketamine: <span class="html-italic">n</span> = 9, and control: <span class="html-italic">n</span> = 11. (<b>a</b>,<b>c</b>) RM ANOVA, Tukey’s test: * <span class="html-italic">p</span> &lt; 0.05 vs. 16–30 training session; (<b>b</b>,<b>d</b>) paired <span class="html-italic">t</span>-test: footshocks 16–30 vs. 1–15.</p>
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<p>Effects of (<span class="html-italic">S</span>)-ketamine, 10 mg/kg, ip, administered 1 h before the re-exposition session, on the active avoidance task performed in stressed mice. (<b>a</b>) Frequency of and (<b>c</b>) mean latency to escape from the electrified side of the box in the training and re-exposition sessions, and (<b>b</b>) frequency of and (<b>d</b>) mean latency to escape in the re-exposition session of the active avoidance task. Data represent the mean ± SEM, while dots represent individual performance. (<span class="html-italic">S</span>)-ketamine: <span class="html-italic">n</span> = 7, and control: <span class="html-italic">n</span> = 7. (<b>a</b>,<b>c</b>) RM ANOVA, Tukey’s test: * <span class="html-italic">p</span> &lt; 0.05 vs. 16–30 training session; (<b>b</b>,<b>d</b>) paired <span class="html-italic">t</span>-test: footshocks 16–30 vs. 1–15.</p>
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<p>Effects of (<span class="html-italic">R</span>,<span class="html-italic">S</span>)-ketamine and (<span class="html-italic">S</span>)-ketamine (both 10 mg/kg, ip, 3 h before testing) on the immobility time of stressed mice assessed in the tail suspension test. Immobility time (s) in (<b>a</b>) (<span class="html-italic">R</span>,<span class="html-italic">S</span>)-ketamine-treated (<span class="html-italic">n</span> = 8) and control (<span class="html-italic">n</span> = 11) mice, and (<b>b</b>) (<span class="html-italic">S</span>)-ketamine-treated (<span class="html-italic">n</span> = 7) and control (<span class="html-italic">n</span> = 7) mice. Bars represent the mean ± SEM, whereas dots represent individual performance. Unpaired <span class="html-italic">t</span>-test: * <span class="html-italic">p</span> &lt; 0.05 vs. control.</p>
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<p>Effects of (<span class="html-italic">R</span>,<span class="html-italic">S</span>)-ketamine and (<span class="html-italic">S</span>)-ketamine (both 10 mg/kg, ip, 4 h before testing) on the spontaneous locomotion of mice previously exposed to inescapable stress. Total distance moved and distance moved in 5 min blocks over time in the (<span class="html-italic">R</span>,<span class="html-italic">S</span>)-ketamine (<b>a</b>,<b>b</b>) and (<span class="html-italic">S</span>)-ketamine (<b>c</b>,<b>d</b>) groups. Bars represent the mean ± SEM, while dots represent individual performance. (<span class="html-italic">R</span>,<span class="html-italic">S</span>)-ketamine: <span class="html-italic">n</span> = 9, control: <span class="html-italic">n</span> = 11; (<span class="html-italic">S</span>)-ketamine: <span class="html-italic">n</span> = 7, control: <span class="html-italic">n</span> = 7. * <span class="html-italic">p</span> &lt; 0.05 vs. control, unpaired <span class="html-italic">t</span>-test.</p>
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<p>Effects of (<span class="html-italic">R</span>,<span class="html-italic">S</span>)-ketamine and (<span class="html-italic">S</span>)-ketamine (both 10 mg/kg, ip, 4 h before testing) on anxiety-related behaviors in stressed mice assessed in the open field test. Percentage of distance moved in and percentage of time spent in the center of the open field test in stressed mice treated with (<span class="html-italic">R</span>,<span class="html-italic">S</span>)-ketamine (<b>a</b>,<b>b</b>) and (<span class="html-italic">S</span>)-ketamine (<b>c</b>,<b>d</b>) in the first 10 min of observation. Bars represent mean ± SEM, while dots represent individual performance. Unpaired <span class="html-italic">t</span>-test: * <span class="html-italic">p</span> &lt; 0.05 vs. control.</p>
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15 pages, 4283 KiB  
Article
In-Situ Experimental Study of Closed-Diaphragm Wall Foundations for Cross-Sea Suspension Bridges
by Wenshuai Li, Qiyu Tao, Chao Li, Xin Wang, Weiming Gong and Guoliang Dai
J. Mar. Sci. Eng. 2024, 12(12), 2304; https://doi.org/10.3390/jmse12122304 - 14 Dec 2024
Viewed by 540
Abstract
This study examines the in-situ lateral static load behavior of a closed-diaphragm wall foundation, aiming to better understand its load–displacement response, structural behavior, and soil interaction under horizontal loading. An in-situ static load test was conducted with a maximum applied load of 70 [...] Read more.
This study examines the in-situ lateral static load behavior of a closed-diaphragm wall foundation, aiming to better understand its load–displacement response, structural behavior, and soil interaction under horizontal loading. An in-situ static load test was conducted with a maximum applied load of 70 MN, revealing that the diaphragm wall initially exhibits a linear load–displacement response, which becomes increasingly nonlinear as the load increases. The horizontal displacement of the lateral walls is nearly identical to the overall displacement of the diaphragm wall, making it a reliable indicator of the wall’s load state, particularly when it is challenging to measure total displacement. The wall behaves as a rigid body with minimal relative displacement between sections, and overturning failure is identified as the primary failure mode. Earth pressure distribution varies around the wall: passive earth pressure is observed at the front edge, while active and passive pressures alternate at the rear edge. These findings provide valuable insights into the design of diaphragm wall foundations, emphasizing the importance of lateral displacements. Full article
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<p>Geological profile.</p>
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<p>Closed-diaphragm wall.</p>
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<p>Instrumented closed-diaphragm wall.</p>
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<p>Horizontal displacement at the top slab.</p>
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<p>Displacement profile.</p>
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<p>Displacement profile.</p>
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<p>Relative deformation at different positions of the closed wall.</p>
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<p>Vertical displacement and rotation of the top slab.</p>
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<p>Vertical displacement and rotation of the top slab.</p>
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<p>Changes in earth pressure.</p>
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<p>Trajectory of the rotation point.</p>
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<p>Soil–foundation interaction model.</p>
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15 pages, 2994 KiB  
Article
New Mixed Skyhook and Displacement–Velocity Control for Improving the Effectiveness of Vibration Isolation in the Lateral Suspension System of a Railway Vehicle
by Yaojung Shiao and Tan-Linh Huynh
Appl. Sci. 2024, 14(24), 11680; https://doi.org/10.3390/app142411680 - 14 Dec 2024
Viewed by 498
Abstract
Demands for increasing the velocity and load carrying capacity of railway vehicles are a challenge to the passive suspension systems used for isolating the lateral vibrations of the carbody of a railway vehicle, especially under a wide range of vibration frequencies. Semiactive suspension [...] Read more.
Demands for increasing the velocity and load carrying capacity of railway vehicles are a challenge to the passive suspension systems used for isolating the lateral vibrations of the carbody of a railway vehicle, especially under a wide range of vibration frequencies. Semiactive suspension systems, especially systems with a magnetorheological damper (MRD), have been investigated as promising alternatives. Many control algorithms have been developed for fine-tuning the damping force generated by MRDs, but they have been ineffective in isolating carbody vibrations at or around the resonance frequencies of the carbody and bogie. This study aims to develop a mixed control algorithm for a new skyhook (SH) control and a new displacement–velocity (DV) control to improve the effectiveness of vibration isolation in resonance frequency regions while producing high performance across the remaining frequencies. The damping coefficient of the new SH controller depends on the vibration velocity of the components of the suspension system and the skyhook damping variable, whereas that of the new DV controller depends on the velocity and displacement of the components of the suspension system and the stiffness variable. The values of the skyhook damping variable and stiffness variable were identified from the vibration velocity of the carbody using the trial and error method. The results of a numerical simulation problem indicated that the proposed control method worked effectively at low frequencies, similar to the conventional SH–DV controller, whereas it significantly improved ride comfort at high frequencies; at the resonance frequency of the bogie (14.6 Hz), in particular, it reduced the vibration velocity and acceleration of the carbody by 50.85% and 45.39%, respectively, compared with the conventional mixed SH–DV controller. The simplicity and high performance of the new mixed SH–DV control algorithm makes it a promising tool to be applied to the semiactive suspension of railway vehicles in real-world applications. Full article
(This article belongs to the Special Issue Novel Advances in Noise and Vibration Control)
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<p>The quarter railway vehicle model.</p>
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<p>(<b>a</b>) The velocity region division and (<b>b</b>) the contribution coefficient for the new SH control under the vibration velocity of the carbody. (<b>a</b>): the regions (1) 0 to 0.0075 m/s, (2) 0.0075 to 0.025 m/s, (3) 0.025 to 0.1 m/s, and (4) ≥0.1 m/s, assumed to correspond the carbody vibration at the high frequency domain, medium frequency domain, around the second-order resonance frequency domain, and around the first-order resonance frequency domain, respectively. A, C, D, E, G, and H are the intersections of region thresholds and line graph of vibration velocity of carbody; B and F are the peak at the first and second-order resonance frequencies, respectively.</p>
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<p>Comparisons of the vibration transmissibility under different controls.</p>
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<p>The RMS of (<b>a</b>) displacement, (<b>b</b>) velocity, and (<b>c</b>) acceleration of the carbody.</p>
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<p>Damping contribution coefficient for the new DV control according to the vibration velocity of the carbody.</p>
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<p>Comparisons of the vibration transmissibility of different controls under sinusoidal signal input with amplitudes of ±5 mm.</p>
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<p>The RMS of (<b>a</b>) displacement, (<b>b</b>) velocity, and (<b>c</b>) acceleration of the carbody under sinusoidal signal input with amplitudes of ±5 mm.</p>
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<p>Comparisons of the vibration transmissibility of the carbody under three control algorithms under sinusoidal signal input with amplitudes of ±5 mm.</p>
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<p>The RMS of (<b>a</b>) displacement, (<b>b</b>) velocity, and (<b>c</b>) acceleration of the carbody under sinusoidal signal input with amplitudes of ±5 mm.</p>
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28 pages, 7483 KiB  
Article
From Division to Death: Metabolomic Analysis of Nicotiana tabacum BY-2 Cells Reveals the Complexity of Life in Batch Culture
by Roman K. Puzanskiy, Anastasia A. Kirpichnikova, Ekaterina M. Bogdanova, Ilya A. Prokopiev, Alexey L. Shavarda, Daria A. Romanyuk, Sergey A. Vanisov, Vladislav V. Yemelyanov and Maria F. Shishova
Plants 2024, 13(23), 3426; https://doi.org/10.3390/plants13233426 - 6 Dec 2024
Viewed by 621
Abstract
Tobacco BY-2 cell culture is one of the most widely used models in plant biology. The main advantage of BY-2 suspension cultures is the synchronization of cell development and the appearance of polar elongation. In batch culture, BY-2 cells passed through the lag, [...] Read more.
Tobacco BY-2 cell culture is one of the most widely used models in plant biology. The main advantage of BY-2 suspension cultures is the synchronization of cell development and the appearance of polar elongation. In batch culture, BY-2 cells passed through the lag, proliferation, elongation, and stationary phases. During this process, the composition of the growth medium changed dramatically. Sucrose was rapidly eliminated; hexose first accumulated and then depleted. The medium’s pH initially decreased and then rose with aging. As a result of the crosstalk between the internal and external stimuli, cells pass through complicated systemic rearrangements, which cause metabolomic alterations. The early stages were characterized by high levels of amino acids and sterols, which could be interpreted as the result of synthetic activity. The most intense rearrangements occurred between the proliferation and active elongation stages, including repression of amino acid accumulation and up-regulation of sugar metabolism. Later stages were distinguished by higher levels of secondary metabolites, which may be a non-specific response to deteriorating conditions. Senescence was followed by some increase in fatty acids and sterols as well as amino acids, and probably led to self-destructive processes. A correlation analysis revealed relationships between metabolites’ covariation, their biochemical ratio, and the growth phase. Full article
(This article belongs to the Section Plant Physiology and Metabolism)
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<p>Parameters of the growth of the <span class="html-italic">Nicotiana tabacum</span> BY-2 suspension batch culture: Biomass (fresh weight (FW), dry weight (DW), accumulation and its ratio) (<b>A</b>); violin plots of cell length distribution changes (<b>B</b>); sugars concentration in the medium (<b>C</b>); and pH of the medium (<b>D</b>).</p>
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<p>Heat map of the standardized mean normalized metabolite content in BY-2 suspension cultures. Metabolites were divided into groups by chemical class, metabolites within groups and the groups themselves were clustered by Pearson distance and Ward’s method.</p>
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<p>Metabolomic dynamics during development of BY-2 suspension cultures. PCA score plots for metabolite profiles from all tested time points (<b>A</b>), the lag and proliferation phases (<b>B</b>), period after the division stopped (<b>C</b>), and expansion and transition to the stationary phase (<b>D</b>). Ellipses are 90% confidence intervals. DAI—day after inoculation.</p>
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<p>Alterations in metabolite accumulation at early stages of culture development. Violin plots of normalized metabolite content. Colors represents days after inoculation that are mentioned in each plot. Bar plots above are VIPs: gray line marks VIP = 1; stars mark adjusted <span class="html-italic">p</span>-values from MMW test for lag phase and transition to proliferation and from <span class="html-italic">t</span>-test for transition to expansion (*** for <span class="html-italic">p</span> &lt; 0.001, ** for <span class="html-italic">p</span> &lt; 0.01, * for <span class="html-italic">p</span> &lt; 0.05, ˙ for <span class="html-italic">p</span> &lt; 0.1). Dark blue bars correspond to higher VIP values. Compound names colored same as in <a href="#plants-13-03426-f002" class="html-fig">Figure 2</a>.</p>
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<p>Alterations in metabolite accumulation at later stages of culture development. Heat maps of loadings (p) of predictive component from OPLS-DA models for sequential pairwise comparison: red upward arrows refer to positive p, which correspond to level increasing. Blue downward arrows represent negative p, which correspond to level decreasing. Size of arrows represent strength of alterations. Saturated colors correspond to VIP &gt; 1, pale colors to 0.9 &lt; VIP &lt; 1.</p>
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<p>Metabolite set enrichment analysis based on OPLS-DA loadings. The size of the triangles represents the absolute NES (normalized enrichment score) value, which reflects the strength of the effect. Upward triangles refer to positive NES (generally, up regulated) and vice versa. Pathways clustered by a number of common metabolites in the profiles. The colors of the pathways are mixes of the compound colors as shown in <a href="#plants-13-03426-f002" class="html-fig">Figure 2</a>.</p>
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<p>Metabolite mapping by the correlations of the content. Mapping of metabolites by strong (r &gt; 0.85) correlations of their mean levels at different time points. Nodes correspond to the metabolites, the edges correspond to a strong correlation: red—positive, blue—negative. Positive correlations contract nodes. Dotted lines are boundaries of clusters revealed by k-means in coordinates of nodes. In boxes, patterns of dynamics for metabolites: bold line is a median, pies represent proportion of classes of metabolites in the cluster.</p>
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<p>Relation between biochemical pathways and metabolite level variations. Violin plots of Spearman’s correlations (<span class="html-italic">r</span>) between all pairs of metabolites (all), inside pathways (inside), outside pathways (outside), and <span class="html-italic">r</span> calculated for metabolites of the same KEGG pathways. The colors of the pathways are mixes of the compound colors, as shown in <a href="#plants-13-03426-f002" class="html-fig">Figure 2</a>.</p>
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<p>Comparative analysis of patterns in individual variability of cultures. The similarity of metabolite variability was compared by Canberra distance in the space of their normalized standardized content in independent cultures (heat maps). Colored lines at the sides of heat maps mark biochemical classes of compounds, as shown at <a href="#plants-13-03426-f002" class="html-fig">Figure 2</a>. These pair distances were used as a space for clustering time points by Canberra distance (dendrogram). Numbers—days after inoculation.</p>
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18 pages, 5601 KiB  
Article
Active Control of Shimmy in Articulated Single-Axle Straddle-Type Monorail Train
by Jiachen Song, Liwei Zhang, Dongjin Zhu and Hui Liang
Machines 2024, 12(12), 854; https://doi.org/10.3390/machines12120854 - 26 Nov 2024
Viewed by 503
Abstract
The articulated single-axle straddle-type monorail train has many unique advantages, making it the preferred choice for medium-capacity urban rail transit. However, the issue of vehicle shimmy greatly restricts its promotion and application. In response to this issue, an active suspension control scheme is [...] Read more.
The articulated single-axle straddle-type monorail train has many unique advantages, making it the preferred choice for medium-capacity urban rail transit. However, the issue of vehicle shimmy greatly restricts its promotion and application. In response to this issue, an active suspension control scheme is proposed, and the corresponding control algorithm is designed. Considering economic and feasible factors, a modification plan for the single-axle bogie without changing the original structure is proposed. A closed-loop feedback control strategy with lateral velocity and yaw rate as control objectives is designed, and a 114 degree-of-freedom dynamic model of a monorail train is established. Taking the skyhook damping control as the reference model, the SH-SMC (skyhook-sliding mode control) active control scheme is designed based on the sliding mode control theory. Considering practical applications, the control force distribution algorithm is further proposed. Through co-simulation of UM and Matlab, different control schemes are compared and analyzed. The results indicate that the SH-SMC active control scheme is more effective in suppressing the shimmy of single-axle monorail train, verifying the effectiveness of the SH-SMC active control scheme. It is of great significance for the further promotion and application of single-axle monorail trains in more cities. Full article
(This article belongs to the Special Issue Intelligent Control and Active Safety Techniques for Road Vehicles)
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<p>Single-axle bogie based on active control.</p>
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<p>Shimmy control process of monorail vehicle.</p>
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<p>Model of the three-section articulated single-axle monorail train.</p>
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<p>Dynamic topology of single-axle monorail vehicle system.</p>
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<p>UM-Matlab co-simulation.</p>
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<p>Simulation settings of the track beam.</p>
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<p>Comparison of lateral velocity of front vehicle.</p>
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<p>Comparison of lateral velocity of front vehicle during 5–7 s.</p>
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<p>Comparison of lateral velocity of front vehicle during 22–26 s.</p>
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<p>Comparison of lateral velocity of front vehicle during 27–35 s.</p>
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<p>Comparison of yaw rate of front vehicle.</p>
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<p>Comparison of yaw rate of front vehicle during 5–7 s.</p>
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<p>Comparison of yaw rate of front vehicle during 22–26 s.</p>
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<p>Comparison of yaw rate of front vehicle during 27–35 s.</p>
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<p>Comparison of yaw acceleration of front vehicle.</p>
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17 pages, 18738 KiB  
Article
Three-Axis Vibration Isolation of a Full-Scale Magnetorheological Seat Suspension
by Young T. Choi, Norman M. Wereley and Gregory J. Hiemenz
Micromachines 2024, 15(12), 1417; https://doi.org/10.3390/mi15121417 - 26 Nov 2024
Viewed by 743
Abstract
This study examines the three-axis vibration isolation capabilities of a full-scale magnetorheological (MR) seat suspension system utilizing experimental methods to assess performance under both single-axis and simultaneous three-axis input conditions. To achieve this, a semi-active MR seat damper was designed and manufactured to [...] Read more.
This study examines the three-axis vibration isolation capabilities of a full-scale magnetorheological (MR) seat suspension system utilizing experimental methods to assess performance under both single-axis and simultaneous three-axis input conditions. To achieve this, a semi-active MR seat damper was designed and manufactured to address excitations in all three axes. The damper effectiveness was tested experimentally for axial and lateral motions, focusing on dynamic stiffness and loss factor using an MTS machine. Prior to creating the full-scale MR seat suspension, a scaled-down version at one-third size was developed to verify the damper’s ability to effectively reduce vibrations in response to practical excitation levels. Additionally, a narrow-band frequency-shaped semi-active control (NFSSC) algorithm was developed to optimize vibration suppression. Ultimately, a full-scale MR seat suspension was assembled and tested with a 50th percentile male dummy, and comprehensive three-axis vibration isolation tests were conducted on a hydraulic multi-axis simulation table (MAST) for both individual inputs over a frequency range up to 200 Hz and for simultaneous multi-directional inputs. The experimental results demonstrated the effectiveness of the full-scale MR seat suspension in reducing seat vibrations. Full article
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<p>The multi-axis magnetorheological (MR) seat damper can be applied to either ground or air vehicle seat suspensions. (<b>a</b>) Schematic diagram and (<b>b</b>) fabricated seat damper.</p>
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<p>Experimental setup used to measure the damping performance of the single MR seat damper on an MTS machine. (<b>a</b>) Axial direction and (<b>b</b>) lateral direction.</p>
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<p>Axial dynamic stiffness and loss angle of the multi-axis MR seat damper under ±1.0 mm excitation displacement. Note that the initial axial compression was 2 mm.</p>
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<p>Lateral dynamic stiffness and loss angle of the multi-axis MR seat damper under ±1.0 mm excitation displacement. Note that the initial axial compression was 2 mm.</p>
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<p>The single-degree-of-freedom (DOF) testing stand for the 1/3 scale MR seat suspension for the axial (i.e., vertical) direction: (<b>a</b>) test stand, (<b>b</b>) controller box.</p>
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<p>Desired control input shape of the narrow-band frequency-shaped semi-active control (NFSSC) algorithm in the frequency domain.</p>
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<p>Transmissibility of the 1/3rd scale MR seat suspension for the axial direction (excitation ±0.1 g).</p>
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<p>Test configuration of the full-scale MR seat suspension: (<b>a</b>) full-scale MR seat suspension, (<b>b</b>) MR seat damper configuration (top view).</p>
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<p>Three-axis transmissibility at the seat pan of the full-scale MR seat suspension using the NFSSC control algorithm for each directional excitation input (excitation level: ±0.1 g): (<b>a</b>) <span class="html-italic">x</span>-axis excitation input, (<b>b</b>) <span class="html-italic">y</span>-axis excitation input, (<b>c</b>) <span class="html-italic">z</span>-axis excitation input.</p>
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<p>RMS transmissibility of the full-scale MR seat suspension using the NFSSC algorithm fo excitation input in each direction: (<b>a</b>) for the relatively low-frequency range (3–20 Hz), (<b>b</b>) for the higher frequency range (20–200 Hz).</p>
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<p>Measured time profiles of representative transient inputs for seat suspensions in a military propeller aircraft [<a href="#B29-micromachines-15-01417" class="html-bibr">29</a>].</p>
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<p>Measured time responses at the seat pan of the full-scale MR seat suspension using the NFSSC algorithm for each directional representative excitation input (<b>a</b>) for <span class="html-italic">x</span>-axis excitation input, (<b>b</b>) for <span class="html-italic">y</span>-axis excitation input, and (<b>c</b>) for <span class="html-italic">z</span>-axis excitation input.</p>
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<p>RMS accelerations of the full-scale MR seat suspension under the NFSSC algorithm (<b>a</b>) for each directional excitation input and (<b>b</b>) for simultaneous three-axis excitation inputs.</p>
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<p>Overall RMS accelerations at the seatback of the full-scale MR seat suspension under the NFSSC algorithm (<b>a</b>) for each directional excitation input and (<b>b</b>) for simultaneous three-axis excitation inputs.</p>
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17 pages, 10646 KiB  
Article
Neuronal TCF7L2 in Lateral Habenula Is Involved in Stress-Induced Depression
by Xincheng Li, Xiaoyu Liu, Jiaxin Liu, Fei Zhou, Yunluo Li, Ye Zhao, Xueyong Yin, Yun Shi and Haishui Shi
Int. J. Mol. Sci. 2024, 25(22), 12404; https://doi.org/10.3390/ijms252212404 - 19 Nov 2024
Viewed by 754
Abstract
Depression is a complex psychiatric disorder that has substantial implications for public health. The lateral habenula (LHb), a vital brain structure involved in mood regulation, and the N-methyl-D-aspartate receptor (NMDAR) within this structure are known to be associated with depressive behaviors. Recent research [...] Read more.
Depression is a complex psychiatric disorder that has substantial implications for public health. The lateral habenula (LHb), a vital brain structure involved in mood regulation, and the N-methyl-D-aspartate receptor (NMDAR) within this structure are known to be associated with depressive behaviors. Recent research has identified transcription factor 7-like 2 (TCF7L2) as a crucial transcription factor in the Wnt signaling pathway, influencing diverse neuropsychiatric processes. In this study, we explore the role of TCF7L2 in the LHb and its effect on depressive-like behaviors in mice. By using behavioral tests, AAV-mediated gene knockdown or overexpression, and pharmacological interventions, we investigated the effects of alterations in TCF7L2 expression in the LHb. Our results indicate that TCF7L2 expression is reduced in neurons within the LHb of male ICR mice exposed to chronic mild stress (CMS), and neuron-specific knockdown of TCF7L2 in LHb neurons leads to notable antidepressant activity, as evidenced by reduced immobility time in the tail suspension test (TST) and forced swimming test (FST). Conversely, the overexpression of TCF7L2 in LHb neurons induces depressive behaviors. Furthermore, the administration of the NMDAR agonist NMDA reversed the antidepressant activity of TCF7L2 knockdown, and the NMDAR antagonist memantine alleviated the depressive behaviors induced by TCF7L2 overexpression, indicating the involvement of NMDAR. These findings offer novel insights into the molecular mechanisms of depression, highlighting the potential of TCF7L2 as both a biomarker and a therapeutic target for depression. Exploring the relationship between TCF7L2 signaling and LHb function may lead to innovative therapeutic approaches for alleviating depressive symptoms. Full article
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<p>TCF7L2 in LHb neurons was downregulated in CMS mice. (<b>A</b>) Timeline of the CMS and behavioral tests, including the OFT, the TST, the EPM, the FST, and the SPT. (<b>B</b>) Time spent in the center in the OFT, mean of Naive: 30.98, mean of CMS: 18.46. (<b>C</b>) Total distance traveled during the OFT, mean of Naive: 2773, mean of CMS: 3258. (<b>D</b>) Latency to the first immobility in the TST, mean of Naive: 108.07, mean of CMS: 106.71. (<b>E</b>) Total immobility time in the TST, mean of Naive: 51.2, mean of CMS: 138.1. (<b>F</b>) Time spent in the open arms in the EPM, mean of Naive: 54.63, mean of CMS: 42.79. (<b>G</b>) Latency to the first floating in the FST, mean of Naive: 96.36, mean of CMS: 85.21. (<b>H</b>) Total floating time in the FST, mean of Naive: 93, mean of CMS: 139.9. (<b>I</b>) Sucrose preference (%) of SPT, mean of Naive: 75.69, mean of CMS: 61.18, (<b>J</b>,<b>K</b>) Immunofluorescence staining of TCF7L2 in LHb neurons, mean of Naive: 37.34, mean of CMS: 17.47, (red: TCF7L2, green: NeuN, blue: DAPI, scale bar = 50 μm; n = 4). Comparison between the Naive and CMS groups was conducted using T-tests or Mann–Whitney U-tests. Data are expressed as means ± SEM. n = 14 per group. * <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, versus the Naive group.</p>
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<p>TCF7L2 knockdown in the LHb neurons caused antidepressant activity in mice. (<b>A</b>) Schematic of the experimental design of AAV-mediated TCF7L2 knockdown in the LHb neurons of mice. (<b>B</b>) Verification of TCF7L2 knockdown efficiency using fluorescence staining, mean of AAV-sh-scrambled: 93, mean of AAV-sh-TCF7L2: 139.9 (red: TCF7L2, green: GFP, blue: DAPI, scale bar = 50 μm). (<b>C</b>) Sucrose preference (%) of SPT, mean of AAV-sh-scrambled: 67.24, mean of AAV-sh-TCF7L2: 62.92. (<b>D</b>) Latency to eat in the NSF test, mean of AAV-sh-scrambled: 45.1, mean of AAV-sh-TCF7L2: 19.5. (<b>E</b>) Total intake of food in the NSF test, mean of AAV-sh-scrambled: 0.3667, mean of AAV-sh-TCF7L2: 0.3625. (<b>F</b>) Latency to the first immobility in the TST, mean of AAV-sh-scrambled: 107.2, mean of AAV-sh-TCF7L2: 116.5. (<b>G</b>) Total immobility time in the TST, mean of AAV-sh-scrambled: 66.86, mean of AAV-sh-TCF7L2: 37.53. (<b>H</b>) Latency to the first floating in the FST, mean of AAV-sh-scrambled: 59, mean of AAV-sh-TCF7L2: 104.8. (<b>I</b>) Total floating time in the FST, mean of AAV-sh-scrambled: 125.9, mean of AAV-sh-TCF7L2: 32.81. (<b>J</b>) Time spent in the center in the OFT, mean of AAV-sh-scrambled: 17.17, mean of AAV-sh-TCF7L2: 15.25. (<b>K</b>) Total distance traveled during the OFT, mean of AAV-sh-scrambled: 4039, mean of AAV-sh-TCF7L2: 3870. (<b>L</b>) Recognition index of NOR test, mean of AAV-sh-scrambled: 66.21, mean of AAV-sh-TCF7L2: 62.33. (<b>M</b>) Sniffing index in trial 1 of the three-chamber SIT, mean of AAV-sh-scrambled: 75.78, mean of AAV-sh-TCF7L2: 76.87. (<b>N</b>) Total sniffing time in trial 1 of the three-chamber SIT, mean of AAV-sh-scrambled: 85.82, mean of AAV-sh-TCF7L2: 77.41. (<b>O</b>) Preference index in trial 2 of the three-chamber SIT, mean of AAV-sh-scrambled: 35.31, mean of AAV-sh-TCF7L2: 35.61. (<b>P</b>) Total sniffing time in trial 2 of the three-chamber SIT, mean of AAV-sh-scrambled: 67.45, mean of AAV-sh-TCF7L2: 64.59. (<b>Q</b>) Analysis of the correlation between the total floating time in FST and density of TCF7L2<sup>+</sup> cells in LHb/mm<sup>2</sup>. Comparison between the AAV-sh-Scrambled and AAV-sh-TCF7L2 groups was conducted using the <span class="html-italic">T</span>-test or Mann–Whitney U-test. Data are expressed as means ± SEM. n = 10–23 per group. * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001, versus the AAV-sh-Scrambled group.</p>
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<p>TCF7L2 overexpression in the LHb neurons led to depressive-like behavior in mice. (<b>A</b>) Schematic of the experimental design of AAV-mediated TCF7L2 overexpression in the LHb neurons of mice. (<b>B</b>) Verification of AAV injection point using fluorescence staining, mean of AAV-EGFP: 67.45, mean of AAV-TCF7L2: 64.59 (red: TCF7L2, green: GFP, blue: DAPI, scale bar = 50 μm). (<b>C</b>) Sucrose preference (%) of SPT, mean of AAV-EGFP: 73.5, mean of AAV-TCF7L2: 74. (<b>D</b>) Latency to eat in the NSF test, mean of AAV-EGFP: 45.33, mean of AAV-TCF7L2: 124.27. (<b>E</b>) Total intake of food in the NSF test, mean of AAV-EGFP: 0.22, mean of AAV-TCF7L2: 0.16. (<b>F</b>) Latency to the first immobility in the TST, mean of AAV-EGFP: 97, mean of AAV-TCF7L2:88.06. (<b>G</b>) Total immobility time in the TST, mean of AAV-EGFP: 60.39, mean of AAV-TCF7L2: 98.89. (<b>H</b>) Latency to the first floating in the FST, mean of AAV-EGFP: 87.67, mean of AAV-TCF7L2: 64.11. (<b>I</b>) Total floating time in the FST, mean of AAV-EGFP: 50.06, mean of AAV-TCF7L2: 117.4. (<b>J</b>) Time spent in the center in the OFT, mean of AAV-EGFP: 17.61, mean of AAV-TCF7L2: 17.9. (<b>K</b>) Total distance traveled during the OFT, mean of AAV-EGFP: 2235, mean of AAV-TCF7L2: 2147. (<b>L</b>) Recognition index of NOR test, mean of AAV-EGFP: 59.34, mean of AAV-TCF7L2: 62.5. (<b>M</b>) Sniffing index in trial 1 of the three-chamber SIT, mean of AAV-EGFP: 79.49, mean of AAV-TCF7L2: 82.19. (<b>N</b>) Total sniffing time in trial 1 of the three-chamber SIT, mean of AAV-EGFP: 75.94, mean of AAV-TCF7L2: 78.22. (<b>O</b>) Preference index in trial 2 of the three-chamber SIT, mean of AAV-EGFP: 29.86, mean of AAV-TCF7L2: 25.55. (<b>P</b>) Total sniffing time in trial 2 of the three-chamber SIT, mean of AAV-EGFP: 71.94, mean of AAV-TCF7L2: 76.83. Comparison between the AAV-EGFP and AAV-TCF7L2 groups was conducted using <span class="html-italic">T</span>-test or Mann–Whitney U-test. (<b>Q</b>) Analysis of the correlation between the total floating time in FST and density of TCF7L2<sup>+</sup> cells in LHb/mm<sup>2</sup>. Data are expressed as means ± SEM. n = 18 per group. * <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, versus the AAV-sh-Scrambled group.</p>
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<p>NMDAR was involved in TCF7L2-mediated depressive-like behavior. (<b>A</b>) Experimental timeline for NMDAR agonist-NMDA administration and behavioral tests. (<b>B</b>) Effects of NMDA administration on latency to the first immobility in the TST with LHb neurons special TCF7L2 knockdown, mean of AAV-sh-scrambled + Saline: 106, mean of AAV-sh-scrambled + NMDA: 111.9, mean of AAV-sh-TCF7L2 + Saline: 111.1, mean of AAV-sh-TCF7L2 + NMDA: 108.8. (<b>C</b>) Total immobility time in the TST, mean of AAV-sh-scrambled + Saline: 57.75, mean of AAV-sh-scrambled + NMDA: 52.45, mean of AAV-sh-TCF7L2 + Saline: 8.143, mean of AAV-sh-TCF7L2 + NMDA: 62.63. (<b>D</b>) Effects of NMDA administration on latency to the first floating in the FST, mean of AAV-sh-scrambled + Saline: 72.36, mean of AAV-sh-scrambled + NMDA: 95.45, mean of AAV-sh-TCF7L2 + Saline: 110.9, mean of AAV-sh-TCF7L2 + NMDA: 102.6. (<b>E</b>) Total floating time in the FST, mean of AAV-sh-scrambled + Saline: 106.1, mean of AAV-sh-scrambled + NMDA: 120.7, mean of AAV-sh-TCF7L2 + Saline: 45, mean of AAV-sh-TCF7L2 + NMDA: 134.7. (<b>F</b>) Experimental timeline for NMDAR antagonist-memantine administration and behavioral tests. (<b>G</b>) Effects of memantine administration on latency to the first immobility in the TST with LHb neurons special TCF7L2 overexpression, mean of AAV-EGFP + Saline: 85.25, mean of AAV-EGFP + Memantine: 88.25, mean of AAV-TCF7L2 + Saline: 50.75, mean of AAV-TCF7L2 + Memantine: 80.05. (<b>H</b>) Total immobility time in the TST, mean of AAV-EGFP + Saline: 79.75, mean of AAV-EGFP + Memantine: 75.38, mean of AAV-TCF7L2 + Saline: 131.5, mean of AAV-TCF7L2 + Memantine: 72.38. (<b>I</b>) Effects of memantine administration on latency to the first floating in the FST, mean of AAV-EGFP + Saline: 91.5, mean of AAV-EGFP + Memantine: 100.8, mean of AAV-TCF7L2 + Saline: 35, mean of AAV-TCF7L2 + Memantine: 82.5. (<b>J</b>) Total floating time in the FST, mean of AAV-EGFP + Saline: 32.25, mean of AAV-EGFP + Memantine: 44.63, mean of AAV-TCF7L2 + Saline: 157.5, mean of AAV-TCF7L2 + Memantine: 77.88. Comparisons between groups were conducted using one-way ANOVA. Data are expressed as means ± SEM. n = 7–11 per group. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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Tutorial
A Repair Technique for Internal Nasal Valve Collapse Using Lateral Nasal Suspension Sutures
by Morgan Davis Mills, Víctor de Cos, Archana Podury and Deborah Watson
Bioengineering 2024, 11(11), 1138; https://doi.org/10.3390/bioengineering11111138 - 12 Nov 2024
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Abstract
One of the most common reasons a patient would see an otolaryngologist is for nasal obstruction. This article provides an overview of the physical principles related to nasal airflow as well as the critical role that the internal nasal valve plays in regulating [...] Read more.
One of the most common reasons a patient would see an otolaryngologist is for nasal obstruction. This article provides an overview of the physical principles related to nasal airflow as well as the critical role that the internal nasal valve plays in regulating airflow resistance. Common treatment options for internal nasal valve obstruction are discussed as well as an in-depth tutorial on an alternate lateral nasal suspension suture technique for internal nasal valve collapse. Full article
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<p>Cartilage grafting techniques for internal nasal valve collapse. (<b>a</b>) illustrates the effect of spreader grafts (frontal, oblique, and base views) increasing the width of the angle of the internal nasal valve. (<b>b</b>) demonstrates the autospreader graft technique (frontal, oblique, and base views). The medial border of the upper lateral cartilage is detached from the septum, allowing for the upper lateral cartilage to be folded inward and sutured in place to widen the valve. (<b>c</b>) illustrates the butterfly graft which spans across both apexes of the internal nasal valve to provide support. The red arrows indicate the direction that the cartilage is folded inwards. The black circles represent sutures through the butterfly graft and upper lateral cartilage.</p>
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<p>Endonasal view of a narrow internal nasal valve using a zero-degree nasal endoscope.</p>
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<p>Intraoperative view of (<b>a</b>) external fusiform skin excision placement over the nasal bones, parallel to the nasojugal groove, and (<b>b</b>) endonasal marking for the superficial scored incision.</p>
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<p>Manual bending of the Keith needle. (<b>a</b>) illustrates the initial straight 2-inch Keith needle and the curved needle after manual bending using 2 empty needle drives. (<b>b</b>) demonstrates how the needle is bent using the 2 needle drivers.</p>
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<p>Schematic illustration of lateral nasal suspension sutures. The red line represents the first suture medially placed and the blue line represents the second separate suture. Note the overlapping of the two sutures to reinforce the lifting effect of the lateral side wall.</p>
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Article
Functional Adaptation in the Brain Habenulo–Mesencephalic Pathway During Cannabinoid Withdrawal
by Sonia Aroni, Claudia Sagheddu, Marco Pistis and Anna Lisa Muntoni
Cells 2024, 13(21), 1809; https://doi.org/10.3390/cells13211809 - 1 Nov 2024
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Abstract
The mesolimbic reward system originating from dopamine neurons in the ventral tegmental area (VTA) of the midbrain shows a profound reduction in function during cannabinoid withdrawal. This condition may underlie aversive states that lead to compulsive drug seeking and relapse. The lateral habenula [...] Read more.
The mesolimbic reward system originating from dopamine neurons in the ventral tegmental area (VTA) of the midbrain shows a profound reduction in function during cannabinoid withdrawal. This condition may underlie aversive states that lead to compulsive drug seeking and relapse. The lateral habenula (LHb) exerts negative control over the VTA via the GABA rostromedial tegmental nucleus (RMTg), representing a potential convergence point for drug-induced opponent processes. We hypothesized that the LHb–RMTg pathway might be causally involved in the hypodopaminergic state during cannabinoid withdrawal. To induce Δ9-tetrahydrocannabinol (THC) dependence, adult male Sprague–Dawley rats were treated with THC (15 mg/kg, i.p.) twice daily for 6.5–7 days. Administration of the cannabinoid antagonist rimonabant (5 mg/kg, i.p.) precipitated a robust behavioral withdrawal syndrome, while abrupt THC suspension caused milder signs of abstinence. Extracellular single unit recordings confirmed a marked decrease in the discharge frequency and burst firing of VTA dopamine neurons during THC withdrawal. The duration of RMTg-evoked inhibition was longer in THC withdrawn rats. Additionally, the spontaneous activity of RMTg neurons and of LHb neurons was strongly depressed during cannabinoid withdrawal. These findings support the hypothesis that functional changes in the habenulo–mesencephalic circuit are implicated in the mechanisms underlying substance use disorders. Full article
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<p>Diagram illustrating the experimental timeline. From day 1 to day 6.5 (C and S-W groups) or 7 (P-W group), rats received THC/vehicle, twice daily, i.p. On day 8, animals were challenged with vehicle (24 h after the last vehicle/THC administration; C and S-W groups) or with rimonabant (12 h after last THC administration; P-W group), then they underwent behavioral observation and in vivo electrophysiology.</p>
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<p>Behavioral manifestations of THC withdrawal. Bar histogram showing mean ± SEM of behavioral cannabinoid-withdrawal scores observed for 30 min for each group. P-W rats show a marked behavioral withdrawal syndrome (C, <span class="html-italic">n</span> = 16; S-W, <span class="html-italic">n</span> = 17; P-W, <span class="html-italic">n</span> = 16; two-way ANOVA and Sidak test, **** <span class="html-italic">p</span> &lt; 0.0001, ** <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>(<b>A</b>) On the left, schematic experimental protocol for in vivo electrophysiology recordings within the VTA (rec) and electrical stimulation of the RMTg (stim). Trace showing typical dopamine neuron action potential waveforms. On the right, recording site marked by the PSB dye (arrowhead) in a brain slice. Abbreviations: RN, red nucleus; IP, interpeduncular nucleus; SNr, substantia nigra pars reticulata; PBP, parabrachial pigmented nuclei. (<b>B</b>) Representative extracellular recordings of putative dopamine neurons in the VTA for each experimental group (left). Graphs showing the mean firing rate (right) and (<b>C</b>) the mean bursting activity (C, <span class="html-italic">n</span> = 13 rats, 125 cells; S-W, <span class="html-italic">n</span> = 15 rats, 167 cells; P-W, <span class="html-italic">n</span> = 11 rats, 109 cells). (<b>D</b>) Pie charts illustrating the percentages of inhibited (black) or unresponsive (grey) dopamine neurons following stimulation of the RMTg. Traces acquired from a digital oscilloscope [top] and PSTH of the same cell [bottom] showing that the duration of inhibition is increased in dopamine neurons from S-W (126 ms) and P-W (102 ms) rats when compared with controls (61 ms). (<b>E</b>) The bar graph represents the mean inhibitory response to RMTg stimulation in VTA dopamine cells from C (<span class="html-italic">n</span> = 49), S-W (<span class="html-italic">n</span> = 62), and P-W (<span class="html-italic">n</span> = 48) rats. The complete suppression of discharge activity in S-W and P-W rats was significantly longer than in C animals. (<b>F</b>) Representative extracellular recordings and relative autocorrelograms of regularly, bursting, and irregularly firing cells. (<b>G</b>) The bar graph shows that the number of irregularly firing neurons in S-W and P-W rats was increased. (<b>H</b>) Time course of acute THC’s effect on RMTg-induced inhibition of VTA dopamine neurons in C (<span class="html-italic">n</span> = 10) and S-W (<span class="html-italic">n</span> = 8) groups. The decrease in the duration of inhibition is reduced when compared to the baseline prior THC administration in both C and S-W rats. Data are expressed as mean or percentage of baseline ± SEM. One-way or two-way ANOVA for repeated measures followed by Dunnett test, Sidak test, or chi-square test when appropriate. **** <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>
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<p>(<b>A</b>) On the left, schematic illustration of the experimental protocol for in vivo electrophysiological recordings in the RMTg (rec) and stimulation in the LHb (stim). Trace showing superimposed RMTg neuron action potential waveforms. On the right, recording location for the RMTg marked by the PSB dye (arrowhead) in a brain slice. Abbreviations: Pn, pontine nuclei; xscp, decussation of the superior cerebellar peduncle; DR, dorsal raphe. (<b>B</b>) Superimposed traces acquired from a digital oscilloscope showing a relatively constant latency of the orthodromic response of RMTg neuron following LHb stimulation (left) and representative PSTH (right). (<b>C</b>) Recording trace [top] and rate histogram (bottom) of single RMTg neuron encountered in rats belonging to the C, S-W, and P-W groups. (<b>D</b>) Graph showing the mean firing rate of RMTg cells (C, <span class="html-italic">n</span> = 9 rats, 87 cells; S-W, <span class="html-italic">n</span> = 9 rats, 104 cells; P-W, <span class="html-italic">n</span> = 7 rats, 69 cells). (<b>E</b>) Rate histograms showing that the THC-induced reduction in the firing activity of RMTg neurons from C rats is absent in RMTg neurons from S-W rats. (<b>F</b>) Graph showing averaged time course of THC-induced firing rate reduction (C, <span class="html-italic">n</span> = 8; S-W, <span class="html-italic">n</span> = 7). Data are expressed as mean or percentage of baseline ± SEM. One-way or two-way ANOVA for repeated measures followed by Dunnett test or Sidak test when appropriate. **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>(<b>A</b>) On the left, diagram illustrating the experimental protocol for in vivo electrophysiological recordings in the LHb (rec) and stimulation in the RMTg (stim). Trace showing superimposed LHb neuron action potential waveforms. On the right, recording site for the LHb marked by the PSB dye (arrowhead) in a brain slice. Abbreviations: lLHb, lateral subdivision of LHb; MHb, medial habenula; PVP, posterior paraventricular thalamus. (<b>B</b>) Spontaneous activity of LHb neurons encountered in a rat belonging to the C, S-W, and P-W groups [top]. Each rate histogram (bottom) represents the neuronal activity of a single neuron. Graphs showing the mean firing rate (<b>C</b>) and the mean percentage of CV (<b>D</b>) (C, <span class="html-italic">n</span> = 9 rats, 72 cells; S-W, <span class="html-italic">n</span> = 10 rats, 107 cells; P-W, <span class="html-italic">n</span> = 4 rats, 58 cells). (<b>E</b>) The bar graph shows that the number of bursting neurons in S-W and P-W rats is increased. (<b>F</b>) Graph displaying averaged normalized frequency of inter-spike intervals (ISI) from LHb neurons recorded from C, S-W, and P-W rats. The enlargement of the first 100 ms shows that LHb cells from withdrawn animals fire with shorter inter-spike intervals, as expected from burst firing cells. On the right, example traces from C and P-W rats illustrate dissimilar intervals among action potentials. In P-W rats, the # points at intervals among spikes within the burst (~10 ms), the * points at intervals between bursts (~700 ms). Graphs showing the mean percentage of spikes in bursts (<b>G</b>) (C, <span class="html-italic">n</span> = 9 rats, 72 cells; S-W, <span class="html-italic">n</span> = 10 rats, 107 cells; P-W, <span class="html-italic">n</span> = 4 rats, 58 cells), the mean intraburst frequency (<b>H</b>), the mean burst rate (<b>I</b>), the mean burst duration (<b>J</b>), and the mean number of spikes per burst (<b>K</b>) (C, <span class="html-italic">n</span> = 9 rats, 64 cells; S-W, <span class="html-italic">n</span> = 10 rats, 69 cells; P-W, <span class="html-italic">n</span> = 4 rats, 39 cells). (<b>L</b>) Rate histogram showing the decreased firing rate induced by THC in LHb neurons from C and S-W rats. (<b>M</b>) Averaged time course of firing rate decrease following THC administration (C, <span class="html-italic">n</span> = 9; S-W, <span class="html-italic">n</span> = 7). Data are expressed as mean or percentage of baseline ± SEM. One-way or two-way ANOVA for repeated measures followed by Dunnett test, Sidak test, or chi-square test when appropriate. **** <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>
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Article
Amantadine-Heparin-Polypyrrole as a Promising Drug Delivery Reservoir with a Biological Approach
by Sara Kulik, Sylwia Golba, Izabela Matuła, Ewa Stodolak-Zych and Roksana Kurpanik
Coatings 2024, 14(11), 1389; https://doi.org/10.3390/coatings14111389 - 31 Oct 2024
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Abstract
There is an urgent need to alleviate the symptoms of neurodegenerative diseases. The presented work includes the use of electrochemical polymerization (CV) to obtain active polypyrrole layers with incorporated molecules of a neurological drug substance—amantadine hydrochloride. The obtained films were characterized chemically, structurally, [...] Read more.
There is an urgent need to alleviate the symptoms of neurodegenerative diseases. The presented work includes the use of electrochemical polymerization (CV) to obtain active polypyrrole layers with incorporated molecules of a neurological drug substance—amantadine hydrochloride. The obtained films were characterized chemically, structurally, and functionally in terms of their use as a drug delivery systems which are neurologically active. FTIR spectra were recorded to identify the incorporation of drug substances into the matrix. The obtained results showed that amantadine and heparin were embedded to the polypyrrole matrix. Scanning electron microscopy (SEM) was used to examine the morphology of the films. The films deposited on the steel substrate showed a compact, smooth structure, where there was no visible organized structure. After release, the film became corrugated. Adhesive tests were conducted with the cross-cut Test Method B to determine the mechanical properties, and the results showed that amantadine improves adhesion for steel substrates. The films were potentially stimulated by chronoamperometry, and UV-Vis spectra were registered to calculate the concentration of AMA in the solution after release. The release curves indicate a 95% efficiency of AMA release over the studied time period and protocol. Later, antibacterial properties were tested. The proposed system was able to provide a daily dose of drugs that ensures a therapeutic effect. This is a significant step towards developing systems capable of delivering a wider range of doses, potentially in line with the full spectrum recommended for therapeutic efficacy. The antibacterial properties of the material allows it to be considered as a material with antibacterial potential in the presence of the Staphylococcus aureus (S. aureus) strain. The percentage reduction ratio indicates a 90–100% reduction of bacteria in the suspension. Full article
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<p>Scheme of potential release of AMA and HEP from PPy matrix.</p>
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<p>Cyclic voltammograms during synthesis of AMA/HEP/PPy films: (<b>a</b>) f<sub>3</sub>; (<b>b</b>) f<sub>7</sub>; (<b>c</b>) f<sub>4</sub>; (<b>d</b>) f<sub>8</sub> (abbreviation explained in <a href="#coatings-14-01389-t001" class="html-table">Table 1</a>).</p>
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<p>Cyclic voltammograms of AMA/HEP/PPy films: (<b>a</b>) f<sub>3</sub>; (<b>b</b>) f<sub>7</sub>; (<b>c</b>) f<sub>4</sub>; (<b>d</b>) f<sub>8</sub> (abbreviation explained in <a href="#coatings-14-01389-t001" class="html-table">Table 1</a>).</p>
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<p>SEM images of the film f<sub>5</sub> AMA/HEP/PPy on steel substrate: (<b>a</b>,<b>c</b>) before AMA and HEP release; (<b>b</b>,<b>d</b>) after 0.7 V potential release of AMA and HEP (voids after release of AMA and HEPmarked with yellow circles).</p>
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<p>UV-Vis spectra during the release of AMA and HEP from the f<sub>7</sub> AMA/HEP/PPY film: (<b>a</b>) at a constant potential of 0.5 V; (<b>b</b>) at a constant potential of 0.7 V; (<b>c</b>) diffuse.</p>
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<p>FTIR spectra of AMA/HEP/PPy films synthesized on ITO substrate: (<b>a</b>) Reference samples—blue line for pyrrole, green for amantadine, red for heparin, and black for sodium dodecyl sulfate; (<b>b</b>) film f<sub>3</sub>; (<b>c</b>) f<sub>4</sub>; (<b>d</b>) f<sub>7</sub>, where (red line—synthesized film, black—film after 0.7 V release, blue—film after 0.5 V release, green—film after diffusion release) yellow dot—AMA, red—HEP, and black—PPy.</p>
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<p>(<b>a</b>) UV-Vis spectrum of the solution during the release of AMA and HEP from the f<sub>7</sub> film and the kinetic curves of the release of (<b>b</b>) AMA and (<b>c</b>) HEP with the simulation curve fitted by the Avrami model.</p>
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<p>Growth inhibition zone visible around the tested materials on agar media (MHA) after 24 h of bacterial culturing with <span class="html-italic">Escherichia coli</span> (<span class="html-italic">E. coli</span> EC) and <span class="html-italic">S. aureus</span> (SA).</p>
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<p>Inoculation of <span class="html-italic">S.aureus</span> on PCA medium; reading 24 h after inoculation on the tested material BBT3.</p>
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22 pages, 9781 KiB  
Article
Cross-Kingdom Pathogenesis of Pantoea alfalfae CQ10: Insights from Transcriptome and Proteome Analyses
by Jing Su, Bo Yao, Rong Huang, Xiaoni Liu, Zhenfen Zhang and Yong Zhang
Microorganisms 2024, 12(11), 2197; https://doi.org/10.3390/microorganisms12112197 - 30 Oct 2024
Viewed by 854
Abstract
In grassland agroecosystems, some plant pathogenic bacteria can cause disease in animals. These strains are known as plant and animal cross-kingdom pathogenic bacteria. In this study, we established an alfalfa root infection model and a mouse model via the gavage administration of the [...] Read more.
In grassland agroecosystems, some plant pathogenic bacteria can cause disease in animals. These strains are known as plant and animal cross-kingdom pathogenic bacteria. In this study, we established an alfalfa root infection model and a mouse model via the gavage administration of the Pantoea alfalfae CQ10 (CQ10) bacterial suspension. It was confirmed that the CQ10 strain caused bacterial leaf blight of alfalfa. Mice inoculated with 0.4 mL of 109 cfu/mL bacterial suspension developed clinical symptoms 48 h later, such as diminished vitality, tendencies to huddle, and lack of appetite, including severe lesions in stomach, liver, kidney, and spleen tissues. CQ10 strains were isolated from mouse feces at different time points of inoculation. Thus, CQ10 is a plant and animal cross-kingdom pathogenic bacterium. Transcriptome and proteome analyses showed that biofilm and iron uptake are important virulence factors of the pathogen CQ10, among which Bap and Lpp regulating biofilm are the key cross-kingdom virulence genes of CQ10. From an evolutionary perspective, insights gained from this dual animal–plant pathogen system may help to elucidate the molecular basis underlying the host specificity of bacterial pathogens. The result provides a theoretical basis for the risk assessment, prevention, and control strategies of new pathogenic bacteria entering a new region. Full article
(This article belongs to the Section Molecular Microbiology and Immunology)
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<p>Changes in physiological and biochemical indicators of mice after inoculation. (<b>A</b>) Changes in feed intake of body weight of mice after inoculation. (<b>B</b>) Changes in cumulative growth rate of body weight of mice after inoculation. (<b>C</b>) White blood cell (WBC) counts. (<b>D</b>) Red blood cell (RBC) counts. (<b>E</b>) Heart coefficient. (<b>F</b>) Liver coefficient. (<b>G</b>) Neutrophil (Neu) counts. (<b>H</b>) Neu percentage. (<b>I</b>) Spleen coefficient. (<b>J</b>) Lung coefficient. (<b>K</b>) Monocytes (Mon) counts. (<b>L</b>) Mon percentage. (<b>M</b>) Stomach coefficient. (<b>N</b>) Kidney coefficient. (<b>O</b>) Lymphocyte (Lym) counts. (<b>P</b>) Lym percentage. Different capital letters indicate significance of differences between treatment times in the CQ10 group. Different lowercase letters indicate significance of differences between treatment times in the CK group. *, ** and *** shows the difference between the CQ10 group and CK group at the same treatment times.</p>
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<p>Changes in the pathological changes in mice after inoculation. (<b>a</b>) Heart. (<b>b</b>) Liver. (<b>c</b>) Spleen. (<b>d</b>) Lung. (<b>e</b>) Stomach. (<b>f</b>) Kidney.</p>
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<p>Venn analysis and the volcano plot of number of DEGs in three groups. (<b>A</b>) Venn analysis of total DEGs. (<b>B</b>) Volcano plot of number of DEGs in the CQ10 group and CQ10-A group. (<b>C</b>) Volcano plot of number of DEGs in the CQ10 group and CQ10-P group. (<b>D</b>) Volcano plot of number of DEGs in the CQ10-P group and CQ10-A group. DEGs: differently expression genes; “up” and “down” separately represent up-/downregulated expression of genes, the same as below.</p>
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<p>The top 30 GO annotated entries containing the upregulated DEGs. (<b>A</b>) The top 30 GO annotated entries containing the largest DEGs in the CQ10 group and CQ10-P group. (<b>B</b>) The 30 top GO annotated entries containing the largest DEGs in the CQ10 group and CQ10-A group. (<b>C</b>) The 30 top GO annotated entries containing the largest DEGs in the CQ10-P group and CQ10-A group.</p>
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<p>The top 30 GO annotated entries containing the upregulated DEGs. (<b>A</b>) The top 30 GO annotated entries containing the largest DEGs in the CQ10 group and CQ10-P group. (<b>B</b>) The 30 top GO annotated entries containing the largest DEGs in the CQ10 group and CQ10-A group. (<b>C</b>) The 30 top GO annotated entries containing the largest DEGs in the CQ10-P group and CQ10-A group.</p>
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<p>The top 30 KEGG pathways containing the upregulated DEGs. (<b>A</b>) The KEGG pathways containing the largest DEGs in the CQ10 group and CQ10-P group. (<b>B</b>) The KEGG pathways containing the largest DEGs in the CQ10 group and CQ10-A group. (<b>C</b>) The KEGG pathways containing the largest DEGs in the CQ10-P group and CQ10-A group. Circles indicate the count of DEGs.</p>
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<p>Toxicity factor analysis and pathogen–host interaction analysis of DEGs. (<b>A</b>) Venn analysis of virulence factors encoded by DEGs. (<b>B</b>) Venn analysis of pathogenic genes matched by DEGs in PHI-base. (<b>C</b>) The 14 pathways of virulence factors encoded by DEGs. (<b>D</b>) The 7 pathways of pathogenic genes matched by DEGs in PHI-base. Circles indicate the number of DEGs.</p>
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20 pages, 3693 KiB  
Article
T-Cell Phenotypes and Systemic Cytokine Profiles of People Living with HIV Admitted to Hospital with COVID-19
by Mieke A. van der Mescht, Helen C. Steel, Zelda de Beer, Andries Masenge, Fareed Abdullah, Veronica Ueckermann, Ronald Anderson and Theresa M. Rossouw
Microorganisms 2024, 12(11), 2149; https://doi.org/10.3390/microorganisms12112149 - 25 Oct 2024
Viewed by 976
Abstract
Whether SARS-CoV-2 infection leads to a higher mortality and morbidity in people living with HIV (PLWH) in Africa remains inconclusive. In this study, we explored the differences in the T-cell phenotypes between people with and without HIV on the day of admission (V1) [...] Read more.
Whether SARS-CoV-2 infection leads to a higher mortality and morbidity in people living with HIV (PLWH) in Africa remains inconclusive. In this study, we explored the differences in the T-cell phenotypes between people with and without HIV on the day of admission (V1) and ±7 days later (V2), as well as their cytokine/chemokine profiles on V1. Patients admitted with COVID-19 were recruited between May 2020 and December 2021 from the Steve Biko Academic and Tshwane District Hospitals in Pretoria, South Africa. Of 174 patients, 37 (21%) were PLWH. T-cell profiles were determined by flow cytometry, and cytokine levels were determined using a multiplex suspension bead array. PLWH were significantly younger than those without HIV, and were more likely to be female. In an adjusted analysis, PLWH had higher percentages of CD4+ central memory (CM) programmed cell death protein 1 (PD-1)+, CD8+ effector memory (EM)2, and CD8+ EM4 CD57+ cells, as well as higher concentrations of interleukin (IL)-35 at admission. PLWH with CD4+ T-cell counts of >200 cells/mm3 had altered CD4+ and CD8+ T-cell profiles, lower levels of systemic inflammation measured by plasma ferritin and PCT levels, and less severe disease. PLWH with CD4+ T-cell counts of <200 cells/mm3 on admission had higher concentrations of IL-6 and lower levels of IL-29. At V2, the percentages of CD4+ CM PD-1+ T-cells and CD8+ EM4 T-cells co-expressing CD57 and PD-1 remained higher in PLWH, while all other CD8+ EM populations were lower. Fewer CD8+ EM T-cells after ±7 days of admission may be indicative of mechanisms inhibiting EM T-cell survival, as indicated by the higher expression of IL-35 and the T-cell maturation arrest observed in PLWH. This profile was not observed in PLWH with severe immunodeficiency, highlighting the need for differentiated care in the broader PLWH population. Full article
(This article belongs to the Special Issue Advances in SARS-CoV-2 Infection—Third Edition)
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<p>Visit 1 differences in T-cell populations between people living with and without HIV hospitalized with COVID-19. (<b>A</b>) Representative UMAP plots of people living with and without HIV at admission with COVID-19. (<b>B</b>) Representative dot plots of people living with and without HIV showing differences in CD4+ T-cell subsets, CD4+ EM subsets, and CM PD-1+ expression. (<b>C</b>) Representative dot plots of people living with and without HIV showing differences in CD8+ EM subsets and PD-1 expression in CD8+ EM2 and EM3 populations, as well as TEMRA end-stage effectors expressing CD57. (<b>D</b>) COVID+ PLWH had a higher percentage of CD4+ and CD8+ CM T-cells expressing PD-1. Abbreviations: central memory (CM), control PLWH without COVID-19 (Control PLWH), control people living without HIV without COVID-19 (Control PLWOH), double negative (DN), double positive (DP), end-stage effector (E), effector memory (EM), not significant (ns), pre-effector 1 (pE1), PLWH hospitalized with COVID-19 (COVID+ PLWH), people living without HIV hospitalized with COVID-19 (COVID+ PLWOH), programmed cell death protein 1 (PD-1), and terminally differentiated T-cells re-expressing CD45RA (TEMRA). The Kruskal–Wallis test with post hoc Dunn’s test was used to compare continuous variables between groups. <span class="html-italic">p</span>-value: ***: &lt;0.001.</p>
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<p>T-cell subsets comparing PLWH with undetectable and detectable HIV viral loads upon hospitalization with COVID-19, as well as their respective controls. (<b>A</b>) Representative UMAP plots of the T-cell populations of PLWH with undetectable and detectable VLs at admission with COVID-19. (<b>B</b>) PLWH with a detectable VL with COVID-19 had significantly higher percentages of CD4+ EM T-cells compared to PLWH with an undetectable VL at admission. (<b>C</b>) PLWH with a detectable VL with COVID-19 had significantly higher percentages of CD8+ EM T-cells compared to PLWH with an undetectable VL. PLWH with a detectable VL admitted with COVID-19 had significantly lower percentages of CD8+ EM T-cells compared to PLWH with undetectable VL controls. (<b>D</b>) PLWH with a detectable VL with COVID-19 had significantly higher percentages of CD8+ PD-1+ T-cells than PLWH with an undetectable VL at admission. (<b>E</b>) PLWH with a detectable VL with COVID-19 had significantly lower percentages of CD8+ EM4 CD57+ T-cells compared to PLWH with an undetectable VL at admission. Abbreviations: central memory (CM), double negative (DN), effector memory (EM), not significant (ns), programmed cell death protein 1 (PD-1), pre-effector (pE), terminally differentiated effector memory T-cells re-expressing CD45RA (TEMRA), and viral load (VL). The Kruskal–Wallis test with post hoc Dunn’s test was used to compare continuous variables between groups. <span class="html-italic">p</span>-value: *: &lt;0.05, **: &lt;0.01, ***: &lt;0.001.</p>
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<p>Comparison of cytokine concentrations in PLWH hospitalized with COVID-19 with detectable and undetectable HIV VLs and their respective controls. (<b>A</b>) IL-2 concentrations were significantly higher in PLWH with an undetectable VL than in both PLWH with a detectable VL at admission and PLWH with undetectable VL controls. (<b>B</b>) IL-4 concentrations were significantly higher in PLWH with an undetectable VL than in both PLWH with a detectable VL at admission and PLWH with undetectable VL controls. (<b>C</b>) IL-6 concentrations were higher in both patient groups compared to their respective controls. (<b>D</b>) IFN-γ concentrations were significantly higher in PLWH with an undetectable VL than in both PLWH with a detectable VL at admission and PLWH with undetectable VL controls. (<b>E</b>–<b>H</b>) Concentrations of IL-20, IL-22, IL-35, and IL-12p40 were significantly higher in PLWH admitted with COVID-19 with an undetectable VL than in PLWH with a detectable VL. No significant differences were found between the patient groups and the respective control groups. Abbreviations: interleukin (IL), interferon (IFN), not significant (ns). The Kruskal–Wallis test with post hoc Dunn’s test was used to compare continuous variables between groups. Results are presented as median and interquartile range (IQR). <span class="html-italic">p</span>-value: *: &lt;0.05, **: &lt;0.01.</p>
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<p>T-cell phenotypes of PLWH hospitalized with COVID-19 with CD4+ T-cell counts &lt; or ≥200 cells/mm<sup>3</sup>. (<b>A</b>) PLWH with a CD4+ T-cell count &lt; 200 cells/mm<sup>3</sup> had significantly lower percentages of CD4+ T-cells than PLWH with a CD4+ T-cell count ≥ 200 cells/mm<sup>3</sup>. (<b>B</b>) PLWH with a CD4+ T-cell count &lt; 200 cells/mm<sup>3</sup> had significantly lower percentages of CD4+ N T-cells than PLWH with a CD4+ T-cell count ≥ 200 cells/mm<sup>3</sup>. PLWH with a CD4+ T-cell count ≥ 200 cells/mm<sup>3</sup> also had a significantly higher percentage of CD4+ N T-cells than PLWH controls with a CD4+ T-cell count ≥ 200 cells/mm<sup>3</sup>. (<b>C</b>) PLWH with a CD4+ T-cell count ≥ 200 cells/mm<sup>3</sup> had significantly lower percentages of CD4+ EM T-cells than both PLWH with a CD4+ T-cell count &lt; 200 cells/mm<sup>3</sup> and the respective PLWH controls without COVID-19. (<b>D</b>) PLWH with a CD4+ T-cell count &lt; 200 cells/mm<sup>3</sup> had significantly lower percentages of CD8+ T-cells than PLWH with a CD4+ T-cell count ≥ 200 cells/mm<sup>3</sup>. (<b>E</b>) PLWH with a CD4+ T-cell count of &lt;200 cells/mm<sup>3</sup> with COVID-19 had significantly lower percentages of CD8+ CM T-cells than both PLWH with a CD4+ T-cell count of ≥200 cells/mm<sup>3</sup> and control PLWH with a CD4+ T-cell count of &lt;200 cells/mm<sup>3</sup>. Abbreviations: central memory (CM), effector memory (EM), naïve (N), and not significant (ns). The Kruskal–Wallis test with post hoc Dunn’s test was used to compare continuous variables between groups. <span class="html-italic">p</span>-value: *: &lt;0.05, **: &lt;0.01.</p>
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<p>Comparison of CD4+ T-cell phenotypes at Visit 2 between people living with and without HIV hospitalized with COVID-19 and their respective controls. (<b>A</b>) Representative UMAP plots of CD4+ T-cell populations in people living with and without HIV at Visit 2. (<b>B</b>) COVID+ PLWH had significantly higher percentages of CD4+ CM PD-1+ T-cells when compared to COVID+ PLWOH at V2. Both patient groups (COVID+ PLWH and COVID+ PLWOH) had lower percentages of CD4+ CM PD-1+ T-cells when compared to their respective controls not admitted with COVID-19. (<b>C</b>) COVID+ PLWH had significantly lower percentages of CD4+ CM T-cells overall compared to COVID+ PLWOH at Visit 2. No significant difference was found between the patient groups and respective control groups in terms of the percentage of CD4+ CM T-cells. Abbreviations: central memory (CM), control people living without HIV (PLWOH) without COVID-19 (Control PLWOH), control PLWH without COVID-19 (Control PLWH), effector memory (EM), not significant (ns), PLWH hospitalized with COVID-19 (COVID+ PLWH), PLWOH hospitalized with COVID-19 (COVID+ PLWOH), and programmed cell death protein 1 (PD-1). The Kruskal–Wallis test with post hoc Dunn’s test was used to compare continuous variables between groups. <span class="html-italic">p</span>-value: *: &lt;0.05, **: &lt;0.01, ***: &lt;0.001.</p>
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<p>Comparison of CD8+ T-cell phenotypes at Visit 2 between people living with and without HIV hospitalized with COVID-19 and their respective controls. (<b>A</b>) Representative UMAP plots of CD8+ T-cell populations of people living with and without HIV at Visit 2. (<b>B</b>) COVID+ PLWH had significantly higher percentages of CD8+ CM PD-1+ T-cells than COVID+ PLWOH. No significant differences were found between patient groups and the respective controls in terms of the percentage of CD8+ CM PD-1+ T-cell population. (<b>C</b>) COVID+ PLWH admitted with COVID-19 had significantly higher percentages of CD8+ EM3 PD-1+ T-cells than COVID+ PLWOH admitted with COVID-19. The same difference was found between control participants; Control PLWH had higher percentages of CD8+ EM3 PD-1+ T-cells than Control PLWOH. (<b>D</b>) COVID+ PLWOH had significantly lower percentages of CD8+ EM4 PD-1+ when compared to both COVID+ PLWH and their respective control group without COVID-19. (<b>E</b>) COVID+ PLWH admitted with COVID-19 had significantly higher percentages of CD8+ EM4 PD-1+ CD57+ T-cells when compared to COVID+ PLWOH. The same difference was found between control participants: Control PLWH had higher percentages of CD8+ EM4 PD-1+ CD57+ T-cells than Control PLWOH. Abbreviations: central memory (CM), control PLWH without COVID-19 (Control PLWH), control people living without HIV without COVID-19 (Control PLWOH), effector memory (EM), not significant (ns), people living without HIV (PLWOH) hospitalized with COVID-19 (COVID+ PLWOH), PLWH hospitalized with COVID-19 (COVID+ PLWH), and programmed cell death protein 1 (PD-1). The Kruskal–Wallis test with post hoc Dunn’s test was used to compare continuous variables between groups. <span class="html-italic">p</span>-value: *: &lt;0.05, **: &lt;0.01, ***: &lt;0.001.</p>
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20 pages, 658 KiB  
Systematic Review
Transvaginal Natural Orifice Transluminal Endoscopic Surgery (vNOTES) in Urogynecological Surgery: A Systematic Review
by Lorenzo Vacca, Eleonora Rosato, Riccardo Lombardo, Paolo Geretto, Simone Albisinni, Riccardo Campi, Sabrina De Cillis, Laura Pelizzari, Maria Lucia Gallo, Gianluca Sampogna, Andrea Lombisani, Giuseppe Campagna, Alessandro Giammo, Vincenzo Li Marzi, Cosimo De Nunzio and Young Research Group of the Italian Society of Urodynamics
J. Clin. Med. 2024, 13(19), 5707; https://doi.org/10.3390/jcm13195707 - 25 Sep 2024
Viewed by 1416
Abstract
Background: Minimally invasive surgery could improve cosmetic outcomes and reduce the risks of surgical injury with less postoperative pain and a quicker patient’s discharge. Recently, transvaginal natural orifice transluminal endoscopic surgery (vNOTES) has been introduced in urogynecology with exciting results. Evidence Acquisition: After [...] Read more.
Background: Minimally invasive surgery could improve cosmetic outcomes and reduce the risks of surgical injury with less postoperative pain and a quicker patient’s discharge. Recently, transvaginal natural orifice transluminal endoscopic surgery (vNOTES) has been introduced in urogynecology with exciting results. Evidence Acquisition: After PROSPERO registration (n°CRD42023406815), we performed a comprehensive literature search on Pubmed, Embase, and Cochrane CENTRAL, including peer-reviewed studies evaluating transvaginal natural orifice transluminal endoscopic surgery. No limits on time or type of study were applied. Evidence synthesis: Overall, 12 manuscripts were included in the analysis. Seven studies evaluated uterosacral ligament suspension, four studies evaluated sacral colpopexy, three evaluated sacrospinous ligament suspension, and one study evaluated lateral suspension. Overall success rates were high (>90%); however, definitions of success were heterogeneous. In terms of complication, most of the studies reported low-grade complications (Clavien–Dindo I and II); only two patients needed mesh removal because of mesh exposure. The risk of bias of the trials was rated in the medium to high-risk category. Conclusions: The present review highlights important initial results for vNOTES. Future randomized clinical trials are needed to better define its role in the management of urogynecological procedures. Full article
(This article belongs to the Special Issue Pelvic Organ Prolapse: Current Progress and Clinical Challenges)
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<p>PRISMA flow chart. * Pubmed, Embase, Google Scholar, Web of Science, and Cochrane CENTRAL. ** Two authors performed the screening.</p>
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18 pages, 1608 KiB  
Article
Inhibition of Nitric Oxide Synthesis Prevents the Effects of Intermittent Social Defeat on Cocaine-Induced Conditioned Place Preference in Male Mice
by María Ángeles Martínez-Caballero, María Pilar García-Pardo, Claudia Calpe-López, María Carmen Arenas, Carmen Manzanedo and María Asuncion Aguilar
Pharmaceuticals 2024, 17(9), 1203; https://doi.org/10.3390/ph17091203 - 12 Sep 2024
Viewed by 867
Abstract
We have previously observed that mice exposed to social defeat stress are more sensitive to cocaine in the conditioned place preference (CPP) paradigm. In this context, it has been suggested that the nitric oxide (NO) pathway plays a role in the effects of [...] Read more.
We have previously observed that mice exposed to social defeat stress are more sensitive to cocaine in the conditioned place preference (CPP) paradigm. In this context, it has been suggested that the nitric oxide (NO) pathway plays a role in the effects of stress. The present study evaluates the role of a neuronal NO synthase (nNOS) inhibitor (7-nitroindazole, 7-NI) in the short- and long-term behavioural effects of intermittent social defeat (ISD). Four groups of mice were employed for the study: a control group and three stressed groups, one treated with vehicle and two treated with 7-NI (7.25 or 12.5 mg/kg). After the last episode of defeat, mice were tested in the elevated plus maze (EPM), social interaction, object recognition and tail suspension tests. Three weeks later, mice were conditioned with cocaine (1 mg/kg). Stressed mice, irrespective of the treatment received, showed anxiety in the EPM, presented a deficit of social interaction and spent less time immobile in the tail suspension test. However, only stressed mice treated with vehicle developed CPP. Thus, although 7-NI did not modify the short-term behavioural effects of ISD, it prevented ISD-induced potentiation of the rewarding properties of cocaine in adulthood. These results support a specific role of nNOS in the effects of social stress on drug reward. Full article
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<p>Role of 7-nitroindazole in the effects of intermittent social defeat (SD) on the behaviour of <span class="html-italic">mice</span> in the open arms (OA) of the elevated plus maze (EPM). Four groups of <span class="html-italic">mice</span> were used according to the treatment received: Control (vehicle + no stress), vehicle + SD (vehicle 90 min before exposure to each episode of social defeat), 7-NI7 + SD (7.25 mg/kg of 7-nitroindazole 90 min before exposure to each episode of social defeat) and 7-NI12 + SD (12.5 mg/kg of 7-nitroindazole 90 min before exposure to each episode of social defeat). The animals’ behaviours in the EPM were evaluated on PND 57 (24 h after the last episode of social defeat). Bars represent the mean (±SD) number of entries into the OA (<b>a</b>), percentage of entries into the OA (<b>b</b>), time spent in the OA (<b>c</b>) and percentage of time spent in the OA (<b>d</b>) for each group. * <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, significant difference with respect to the control group.</p>
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<p>Role of 7-nitroindazole in the effects of intermittent social defeat (SD) on the behaviour of <span class="html-italic">mice</span> in the social interaction test. Four groups of <span class="html-italic">mice</span> were used according to the treatment received: Control (vehicle + no stress), vehicle + SD (vehicle 90 min before exposure to each episode of social defeat), 7-NI7 + SD (7.25 mg/kg of 7-nitroindazole 90 min before exposure to each episode of social defeat) and 7-NI12 + SD (12.5 mg/kg of 7-nitroindazole 90 min before exposure to each episode of social defeat). The animals’ behaviours were evaluated on PND 57 (24 h after the last episode of social defeat). Bars represent the mean (±SD) index of social interaction (ISI) in each group. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, significant difference with respect to the Control group.</p>
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<p>Role of 7-nitroindazole in the effects of intermittent social defeat (SD) on the behaviour of <span class="html-italic">mice</span> in the tail suspension test. Four groups of <span class="html-italic">mice</span> were used according to the treatment received: Control (vehicle + no stress), vehicle + SD (vehicle 90 min before exposure to each episode of social defeat), 7-NI7 + SD (7.25 mg/kg of 7-nitroindazole 90 min before exposure to each episode of social defeat) and 7-NI12 + SD (12.5 mg/kg of 7-nitroindazole 90 min before exposure to each episode of social defeat). The animals’ behaviours were evaluated on PND 58 (48 h after the last episode of social defeat). Bars represent the mean (±SD) time (in seconds) spent immobile (Time Immob.) (<b>a</b>) and the latency (in seconds) to show immobility (Latency Immob.) (<b>b</b>) in each group. * <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, significant difference with respect to the control group. ++ <span class="html-italic">p</span> &lt; 0.01, significant difference with respect to the vehicle + SD group.</p>
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<p>Role of 7-nitroindazole in the effects of intermittent social defeat (SD) on the behaviour of <span class="html-italic">mice</span> in the conditioned place preference (CPP) paradigm. Four groups of <span class="html-italic">mice</span> were used according to the treatment received: Control (vehicle + no stress), vehicle + SD (vehicle 90 min before exposure to each episode of social defeat), 7-NI7 + SD (7.25 mg/kg of 7-nitroindazole 90 min before exposure to each episode of social defeat) and 7-NI12 + SD (12.5 mg/kg of 7-nitroindazole 90 min before exposure to each episode of social defeat). The CPP procedure was initiated on PND 77 (3 weeks after the last episode of social defeat). (<b>a</b>) Acquisition of CPP. Bars represent the mean (±SD) time (in seconds) spent in drug-paired compartment before conditioning (pre-C, white bars) and after conditioning (post-C, black bars) with 1 mg/kg of cocaine. *** <span class="html-italic">p</span> &lt; 0.001, significant difference in the time spent in pre-C vs. post-C. (<b>b</b>) CPP score. Bars represent the mean (±SD) CPP score (time spent in post-C minus time spent in pre-C in the drug-paired compartment). ** <span class="html-italic">p</span> &lt; 0.01, significant difference with respect to the control group.</p>
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<p>Timetable and experimental design. PND: post-natal day; 7-NI: 7-nitroindazole; EPM: elevated plus maze; SIT: social interaction test; ORT: object recognition test; TST: tail suspension test.</p>
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25 pages, 35399 KiB  
Article
The Hospital as a Beacon of Science? Parisian Academic Medicine around 1800
by Frank W. Stahnisch
Histories 2024, 4(3), 369-393; https://doi.org/10.3390/histories4030018 - 4 Sep 2024
Viewed by 1293
Abstract
Owing to medical historian Erwin H. Ackerknecht’s (1906–1988) pioneering study “Medicine at the Paris Hospital, 1794–1848” (1967), the year 1794 is seen as the decisive separation date on which the development and reorganization of the Parisian clinical school—as a broad movement [...] Read more.
Owing to medical historian Erwin H. Ackerknecht’s (1906–1988) pioneering study “Medicine at the Paris Hospital, 1794–1848” (1967), the year 1794 is seen as the decisive separation date on which the development and reorganization of the Parisian clinical school—as a broad movement and a system of medical education and clinical practice—distanced it from the traditions of the 18th century. This precise dating is based on the “Rapport et projet de décret sur l’établissement d’une École centrale de Santé à Paris” (1794) by the French clinician and naturalist Antoine-François Fourcroy (1755–1809), which appeared five years after the French Revolution. Fourcroy was asked by the Conseil dÉtat to submit a detailed report in which he was obliged to comment on the existing health situation and the state of medical care and research. His report thereby ventured so far as to request the continued dissolution of all medical faculties in France, as these institutions were seen as counter-revolutionary hotbeds in the wider educational landscape of the Grande Nation. Fourcroy’s recommendations were implemented a short time later; he had recommended that medical training should be established again in the traditional locations of Paris, Montpellier, and Strasbourg in France yet in the different settings of so-called health schools, Écoles de Santé. In this article, I look at the corresponding training and care structures after the French Revolution, as well as some of the specific reasons which led to the complete suspension of teaching in academic medicine at the time. In the more recent research literature, Ackerknecht’s view has undergone some modifications, whereby the fixation on the date 1794 has been challenged since the French traditions of the royalistic period have hardly been considered. Furthermore, it has been argued that the reorganization of medicine during the time of the Empire remained largely based on knowledge structures derived from the previous 18th century. In order to keep the complex scientific, institutional, and socio-economic conditions of the context of Parisian Academic Medicine aligned, I first explore some developments up to the time of the French Revolution (1789), before assessing the implications of the reform of knowledge structures and curricular programs instigated since the 1790s, as these remain relevant to medical history in the 19th century. Full article
(This article belongs to the Section History of Knowledge)
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<p>Rapport et projet de décret sur l’établissement d’une École centrale de Santé à Paris, fait à la Convention Nationale, au nom des Comités de Salut Public et d’Instruction Publique/par Fourcroy, le 7 Frimaire de l’an 3 de la République française, i.e., 1794 (public domain).</p>
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<p><span class="html-italic">René Théophile Hyacinthe Laënnec auscultating a tubercular patient at the Necker Hospital, Paris, 1816</span>. Heliogravure based on a painting by T. Chartran. Source: Wellcome Collection of the History of Medicine, London, UK.</p>
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<p>Paul Broca’s (1824–1880) preparation of the famous brain of Monsieur Tan, 1861 (Anatomical Collection of the Museé Dupuytren, Paris, France; author’s courtesy).</p>
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<p>Corvisart, Jean Nicolas. 1808, transl. and ed. (<a href="#B19-histories-04-00018" class="html-bibr">Corvisart 1808</a>). Nouvelle méthode pour reconnaitre les maladies internes de la poitrine par la percussion de cette cavité, par Auenbrugger. Paris, France: L’Imprimerie de Migneret (public domain).</p>
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<p><span class="html-italic">Claude Bernard and His Pupils</span>. Oil painting by Léon-Augustin Lhermitte (1844–1925). Source: Wellcome Collection of the History of Medicine, London, UK.</p>
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