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16 pages, 2970 KiB  
Article
Plasma Endothelin-1 Levels: Non-Predictors of Alzheimer’s Disease Reveal Age Correlation in African American Women
by Irene A. Zagol-Ikapitte, Mohammad A. Tabatabai, Derek M. Wilus and Donald J. Alcendor
J. Clin. Med. 2025, 14(2), 635; https://doi.org/10.3390/jcm14020635 - 19 Jan 2025
Viewed by 694
Abstract
Background/Objectives: Alzheimer’s disease (AD) and related dementias (ADRD) disproportionately impact racial and ethnic minorities. Contributing biological factors that explain this disparity have been elusive. Moreover, non-invasive biomarkers for early detection of AD are needed. Endothelin-1 (ET-1), a vasoconstrictive factor linked to cerebral vascular [...] Read more.
Background/Objectives: Alzheimer’s disease (AD) and related dementias (ADRD) disproportionately impact racial and ethnic minorities. Contributing biological factors that explain this disparity have been elusive. Moreover, non-invasive biomarkers for early detection of AD are needed. Endothelin-1 (ET-1), a vasoconstrictive factor linked to cerebral vascular disease pathology and neuronal injury, could provide insights to better understand racial disparities in AD. As a potent vasoconstrictive peptide that regulates contractions in smooth muscle, endothelial cells, and pericytes, ET-1 may result in cerebral vascular constriction, leading to cerebral hypoperfusion; over time, this may result in neuronal injury, contributing to the pathology of AD. The role of the ET-1 system as a driver of ethnic disparities in AD requires further investigation. In the United States (U.S.), ET-1 dysregulation in Hispanic/Latinx (H/L) ethnic populations has largely been unexplored. Genetics linking ET-1 dysregulation and racial disparities in AD also require further investigation. In this study, we examined the role of the ET-1 protein in human plasma as a potential biomarker with predictive value for correlating with the development of AD by age, race, and sex. Methods: We examined ET-1 protein levels using quantitative mass spectrometry in AA and NHW patients with AD, along with controls. Results: A partial correlation between age at draw and ET-1, stratified by race and sex, while controlling for AD status, was significant for female AAs (r = 0.385, p = 0.016). When the data were not stratified but controlled for AD status, the partial correlation between age at draw and ET-1 was not significant (r = 0.108, p = 0.259). Conclusions: Based on the small number of plasma specimens and no plasma specimens from H/L individuals with AD, we conclude that ET-1 was clearly not a significant factor in predicting AD in this study and will require a larger scale study for validation. Full article
(This article belongs to the Section Brain Injury)
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Figure 1

Figure 1
<p>(<b>A</b>). ET-1 overexpression in brain capillaries: Implications for vasoconstriction and reduced cerebral blood flow in AD and ADRD. (<b>B</b>). The predicted role for ET-1 in AD. The expression of endothelins (ET-1, ET-2, and ET-3) occurs on separate mRNA transcripts and is encoded by END-1, EDN-2, and EDN-3 gene loci. The resulting preproendothelin mRNAs are translated to form their respective preproendothelins 1–3. The endothelins are proteolytically cleaved by furin-like proteases from the respective Big ETs (Big ET-1, Big ET-2, and Big ET-3). Metalloproteinases and chymases, produce the active peptide forms, respectively. Active forms of endothelins bind to G-protein receptors ETA and ETB to activate cellular functions via ETB receptor binding by ET-1–3, resulting in vasodilation and inhibition of growth and inflammation; ET-1 and ET-2 may activate the cellular function by binding to ETA receptors on vascular smooth muscle cells (VSMCs) and pericytes in the brain and induce vasoconstriction and cell proliferative responses. <a href="#jcm-14-00635-f001" class="html-fig">Figure 1</a> was partially derived from a figure at <a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC7712547/" target="_blank">https://pmc.ncbi.nlm.nih.gov/articles/PMC7712547/</a> accessed on 13 January 2025.</p>
Full article ">Figure 1 Cont.
<p>(<b>A</b>). ET-1 overexpression in brain capillaries: Implications for vasoconstriction and reduced cerebral blood flow in AD and ADRD. (<b>B</b>). The predicted role for ET-1 in AD. The expression of endothelins (ET-1, ET-2, and ET-3) occurs on separate mRNA transcripts and is encoded by END-1, EDN-2, and EDN-3 gene loci. The resulting preproendothelin mRNAs are translated to form their respective preproendothelins 1–3. The endothelins are proteolytically cleaved by furin-like proteases from the respective Big ETs (Big ET-1, Big ET-2, and Big ET-3). Metalloproteinases and chymases, produce the active peptide forms, respectively. Active forms of endothelins bind to G-protein receptors ETA and ETB to activate cellular functions via ETB receptor binding by ET-1–3, resulting in vasodilation and inhibition of growth and inflammation; ET-1 and ET-2 may activate the cellular function by binding to ETA receptors on vascular smooth muscle cells (VSMCs) and pericytes in the brain and induce vasoconstriction and cell proliferative responses. <a href="#jcm-14-00635-f001" class="html-fig">Figure 1</a> was partially derived from a figure at <a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC7712547/" target="_blank">https://pmc.ncbi.nlm.nih.gov/articles/PMC7712547/</a> accessed on 13 January 2025.</p>
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<p>(<b>A</b>)The amino acid sequence and structure of ET-1. (<b>B</b>) Labeling of the ET-1 standards.</p>
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<p>(<b>A</b>)The amino acid sequence and structure of ET-1. (<b>B</b>) Labeling of the ET-1 standards.</p>
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<p>The LC/ESI/MS spectra and selected ion monitoring of ET-1 derivative (PITC-ET-1 <span class="html-italic">m</span>/<span class="html-italic">z</span> 921.96, [M + 3H]<sup>3+</sup>) are shown. The spectra recorded at −28 eV contain all major fragments generated by CID. The product ions were scanned from <span class="html-italic">m</span>/<span class="html-italic">z</span> 50 to <span class="html-italic">m</span>/<span class="html-italic">z</span> 1000. The fragment ions at <span class="html-italic">m</span>/<span class="html-italic">z</span> = 856 (b20 <sup>3</sup>+) and 399 (y6<sup>3+</sup>) were used for quantification (<span class="html-italic">m</span>/<span class="html-italic">z</span> 824 (b19+H<sub>2</sub>O<sup>3+</sup>) and 722 (y16<sup>3+</sup>) as qualifiers.</p>
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<p>PITC-ET-1 in blank rat plasma or human plasma; (<b>A</b>) 10 µL of rat plasma spiked at 0.1, 1, and 5 fmol; (<b>B</b>) 10 µL patient sample (A: lot PL101614A, B: lot 012815D, C: PL020520C) were analyzed via LC/ESI/MS/MS. The selected reaction monitoring mode was used to carry out the quantitative analysis; the specific transition ions for the precursor ions at <span class="html-italic">m</span>/<span class="html-italic">z</span> 921→<span class="html-italic">m</span>/<span class="html-italic">z</span> 856 are shown.</p>
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<p>The distribution of ET-1 scores based on AD status and racial group is displayed in the form of a boxplot. The bottom and top of each box reflect the 25th and 75th percentiles, respectively, with the line in the middle of the box representing the 50th percentile (median).</p>
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<p>This scatterplot illustrates the relationship between age at draw and ET-1 scores for AA females. The linear relationship, as represented by the red line, reveals a positive association between the two variables. Box plots on the right and top of the figure show the distribution of ET-1 and age at draw variables.</p>
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11 pages, 243 KiB  
Review
Sex Influence on Trigeminal Nerve Stimulation and Breath-Hold Diving Performance: Examination of the Autonomic Regulation of Cardiovascular Responses to Facial Cooling and Apnoea Across Sex and Varied Factors
by Krzysztof S. Malinowski, Magdalena Wszędybył-Winklewska and Paweł J. Winklewski
NeuroSci 2025, 6(1), 3; https://doi.org/10.3390/neurosci6010003 - 4 Jan 2025
Viewed by 598
Abstract
This review emphasises the importance of the cardiovascular response to facial cooling (FC) and breath holding in both sexes. The trigemino-cardiac reflex, triggered by FC, reduces heart rate (HR) and constricts blood vessels. When combined with breath holding, this effect intensifies, enhancing the [...] Read more.
This review emphasises the importance of the cardiovascular response to facial cooling (FC) and breath holding in both sexes. The trigemino-cardiac reflex, triggered by FC, reduces heart rate (HR) and constricts blood vessels. When combined with breath holding, this effect intensifies, enhancing the cardiodepressive impact. The cardiovascular reaction to this combination, known as the cold-water face immersion or simulated diving test, varies among individuals and depends on their cardiovascular regulatory profiles, which differ between men and women. Despite extensive research on the cardiovascular response to FC and apnoea, most studies did not categorise participants by sex, leading to a limited understanding of how it influences trigeminal nerve stimulation (TGS) and breath-hold diving (BHD). Despite attempts to address this, the existing findings remain inconsistent due to intra- and inter-individual variability. Key factors influencing the diving response include the influence of the parasympathetic system on HR, vascular sympathetic activity affecting total peripheral resistance (TPR), sensitivity to CO2, lung capacity, training, physical performance, duration of apnoea, and the stimulation of metaboreceptors in working muscles. These factors differ between men and women, potentially contributing to variations in the effectiveness of the response to the FC combined with breath holding. Full article
16 pages, 520 KiB  
Systematic Review
Does Ankyloglossia Surgery Promote Normal Facial Development? A Systematic Review
by Małgorzata Kotarska, Alicja Wądołowska, Michał Sarul, Beata Kawala and Joanna Lis
J. Clin. Med. 2025, 14(1), 81; https://doi.org/10.3390/jcm14010081 - 27 Dec 2024
Viewed by 971
Abstract
Background: Ankyloglossia is a congenital, abnormally short, thickened, or tight lingual frenulum that restricts tongue mobility, which may impair the development of the lower face morphology, namely the occlusion and skeleton. Objective: The aim of this study was to evaluate whether and how [...] Read more.
Background: Ankyloglossia is a congenital, abnormally short, thickened, or tight lingual frenulum that restricts tongue mobility, which may impair the development of the lower face morphology, namely the occlusion and skeleton. Objective: The aim of this study was to evaluate whether and how the lingual frenotomy benefits the occlusion and lower face skeleton development. Search methods and selection criteria: The authors, independently and in duplication, performed searches of PubMed, Cochrane Library, Medline, Web of Science, and Embase, introducing the following keywords: tongue tie, ankyloglossia, and short lingual frenum/frenulum, combined with malocclusion, lower face skeleton, and hyoid bone. Data collection and analysis: Relevant articles were assessed for quality according to the Cochrane guidelines and the data extracted for further analysis of the risk of bias and the evidence strength. Results: Seven articles including 1349 patients with ankyloglossia and 90 in the control group underwent the detailed analysis. The quality of the included studies was assessed as low. The strongest evidence of studies reporting the relationship of ankyloglossia with lower face abnormalities concerns the reduction in the intercanine and intermolar widths in either the maxilla or the mandible, as well as Class III occurrence. Limitations: The drawbacks of the analysed papers are mainly composition and number of participants. There is also a lack of good-quality prospective studies, particularly randomised clinical trials, in the literature. Conclusions: Although the lack of high-quality studies dictates that we must treat our results cautiously, the gathered evidence conditionally allow us to state the following: 1. ankyloglossia may be one of the factors contributing to maxillary constriction, Class III malocclusion, and mandibular incisor crowding; 2. the patient’s age is relevant when it comes to frenotomy timing. Possible indications for the procedure depend on the patient’s malocclusion. Full article
(This article belongs to the Section General Surgery)
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<p>Flow chart demonstrating the study retrieving process.</p>
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14 pages, 1242 KiB  
Article
Effects of Hydrogen Sulfide at Normal Body Temperature and in the Cold on Isolated Tail and Carotid Arteries from Rats and TRPA1 Knockout and Wild-Type Mice
by Leonardo Kelava, Eszter Pakai, Kazushi Ogasawara, Kata Fekete, Gabor Pozsgai, Erika Pinter and Andras Garami
Biomedicines 2024, 12(12), 2874; https://doi.org/10.3390/biomedicines12122874 - 18 Dec 2024
Viewed by 619
Abstract
Background: Hydrogen sulfide (H2S) is a gasotransmitter that modulates vascular tone, causing either vasodilation or vasoconstriction depending on the vascular bed, species, and experimental conditions. The cold-sensitive transient receptor potential ankyrin-1 (TRPA1) channel mediates H2S-induced effects; however, its contribution [...] Read more.
Background: Hydrogen sulfide (H2S) is a gasotransmitter that modulates vascular tone, causing either vasodilation or vasoconstriction depending on the vascular bed, species, and experimental conditions. The cold-sensitive transient receptor potential ankyrin-1 (TRPA1) channel mediates H2S-induced effects; however, its contribution to the vasomotor responses of different arteries at different temperatures has remained unclear. Here, we aimed to fill this gap by comparing the effects of sodium sulfide (Na2S), which is a fast-releasing H2S donor, on the isolated carotid and tail skin arteries of rats and mice at cold and normal body temperature with wire myography. Under the same circumstances, we also aimed to compare the effects of the canonical endothelium-dependent and -independent vasodilators, acetylcholine and sodium nitroprusside, respectively. Methods: We isolated the carotid and tail arteries from 32 adult Wistar rats and 64 TRPA1 knockout and wild-type mice, and then we studied their vasomotor responses to increasing doses (10−6–10−3 M) of Na2S as well as to acetylcholine and sodium nitroprusside (10−5 M for both) at 37 °C and in cold (17 or 20 °C). Results: In rat vessels, Na2S caused constriction of the carotids and relaxation of the tail arteries, which were not influenced by temperature. In mouse carotids, Na2S caused vasorelaxation, which was more pronounced in the cold at a lower dose (10−4 M). At a higher dose (10−3 M), the dilation was markedly attenuated in the absence of the TRPA1 channel. In the mouse tail arteries, Na2S caused vasorelaxation at 37 °C and vasocontraction in the cold. The genetic blockade of TRPA1 channels did not influence the vasomotor responses of the mouse tail arteries. Sodium nitroprusside-induced vasorelaxation was not influenced by any of the investigated factors, while acetylcholine-induced dilation decreased in the cold in all vessel types. Conclusions: Our results reveal the function of TRPA1 in the H2S-induced dilation of carotid arteries in mice. We also highlight interspecies differences in the vasomotor responses between rats and mice, as well as the importance of the effect of temperature on vascular responses. The implementation of the identified variables in future research can advance our understanding of cardiovascular physiology, especially in conditions with hypothermia (either accidental or therapeutic). Full article
(This article belongs to the Special Issue Animal Models for the Study of Cardiovascular Physiology)
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Figure 1
<p>The change in isometric force (expressed as a percentage of the baseline) in response to different concentrations of Na<sub>2</sub>S in (<b>A</b>) rat carotid, (<b>B</b>) rat tail, (<b>C</b>) mouse carotid, and (<b>D</b>) mouse tail arteries at normal body temperature (37 °C) and in the cold. Numbers in parentheses indicate the number of animals in each treatment group. <sup>#</sup> indicates a statistically significant difference between temperature groups (37 °C vs. cold; <span class="html-italic">p</span> &lt; 0.05); * indicates a statistically significant difference between genotypes (TRPA1 KO vs. WT; <span class="html-italic">p</span> &lt; 0.05). The baseline isometric force values of the arteries were as follows: rat carotid at 37 °C 1.59 ± 0.31 mN, in cold 0.27 ± 0.12 mN; rat tail at 37 °C 4.01 ± 1.53 mN, in cold 2.41 ± 0.61 mN; TRPA1 WT mouse carotid at 37 °C 1.09 ± 0.20 mN, in cold 0.78 ± 0.21 mN; TRPA1 KO mouse carotid at 37 °C 0.82 ± 0.14 mN, in cold 0.42 ± 0.05 mN; TRPA1 WT mouse tail at 37 °C 1.15 ± 0.29 mN, in cold 0.61 ±0.09 mN; TRPA1 KO mouse tail at 37 °C 0.76 ± 0.17 mN, in cold 0.50 ± 0.40 mN.</p>
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<p>The change in isometric force (expressed as a percentage of the baseline) in response to acetylcholine (10<sup>−4</sup> M for rats and 10<sup>−5</sup> M for mice) in (<b>A</b>) rat carotid, (<b>B</b>) rat tail, (<b>C</b>) mouse carotid, and (<b>D</b>) mouse tail arteries at normal body temperature (37 °C) and in cold. Numbers in parentheses indicate the number of animals in each treatment group. * indicates a statistically significant difference between temperature groups (37 °C vs. cold; <span class="html-italic">p</span> &lt; 0.05). The baseline isometric force values of the arteries were as follows: rat carotid at 37 °C 1.51 ± 0.28 mN, in cold 0.27 ± 0.10 mN; rat tail at 37 °C 3.53 ± 1.04 mN, in cold 2.92 ± 0.73 mN; TRPA1 WT mouse carotid at 37 °C 1.09 ± 0.20 mN, in cold 0.78 ± 0.21 mN; TRPA1 KO mouse carotid at 37 °C 0.82 ± 0.14 mN, in cold 0.42 ± 0.05 mN; TRPA1 WT mouse tail at 37 °C 1.15 ± 0.29 mN, in cold 0.61 ±0.09 mN; TRPA1 KO mouse tail at 37 °C 0.76 ± 0.17 mN, in cold 0.50 ± 0.40 mN.</p>
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<p>The change in isometric force (expressed as a percentage of the baseline) in response to SNP (10<sup>−4</sup> M for rats and 10<sup>−5</sup> M for mice) in (<b>A</b>) rat carotid, (<b>B</b>) rat tail, (<b>C</b>) mouse carotid, and (<b>D</b>) mouse tail arteries at normal body temperature (37 °C) and in cold. Numbers in parentheses indicate the number of animals in each treatment group. The baseline isometric force values of the arteries were as follows: rat carotid at 37 °C 1.59 ± 0.31 mN, in cold 0.27 ± 0.12 mN; rat tail at 37 °C 4.01 ± 1.53 mN, in cold 2.41 ± 0.61 mN; TRPA1 WT mouse carotid at 37 °C 1.25 ± 0.31 mN, in cold 0.76 ± 0.17 mN; TRPA1 KO mouse carotid at 37 °C 0.80 ± 0.16 mN, in cold 0.42 ± 0.05 mN; TRPA1 WT mouse tail at 37 °C 1.25 ± 0.31 mN, in cold 0.61 ±0.09 mN; TRPA1 KO mouse tail at 37 °C 0.76 ± 0.17 mN, in cold 0.50 ± 0.40 mN.</p>
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24 pages, 6309 KiB  
Article
Enhancing Multispectral Breast Imaging Quality Through Frame Accumulation and Hybrid GA-CPSO Registration
by Tsabeeh Salah M. Mahmoud, Adnan Munawar, Muhammad Zeeshan Nawaz and Yuanyuan Chen
Bioengineering 2024, 11(12), 1281; https://doi.org/10.3390/bioengineering11121281 - 17 Dec 2024
Viewed by 718
Abstract
Multispectral transmission imaging has emerged as a promising technique for imaging breast tissue with high resolution. However, the method encounters challenges such as low grayscale, noisy transmission images with weak signals, primarily due to the strong absorption and scattering of light in breast [...] Read more.
Multispectral transmission imaging has emerged as a promising technique for imaging breast tissue with high resolution. However, the method encounters challenges such as low grayscale, noisy transmission images with weak signals, primarily due to the strong absorption and scattering of light in breast tissue. A common approach to improve the signal-to-noise ratio (SNR) and overall image quality is frame accumulation. However, factors such as camera jitter and respiratory motion during image acquisition can cause frame misalignment, degrading the quality of the accumulated image. To address these issues, this study proposes a novel image registration method. A hybrid approach combining a genetic algorithm (GA) and a constriction factor-based particle swarm optimization (CPSO), referred to as GA-CPSO, is applied for image registration before frame accumulation. The efficiency of this hybrid method is enhanced by incorporating a squared constriction factor (SCF), which speeds up the registration process and improves convergence towards optimal solutions. The GA identifies potential solutions, which are then refined by CPSO to expedite convergence. This methodology was validated on the sequence of breast frames taken at 600 nm, 620 nm, 670 nm, and 760 nm wavelength of light and proved the enhancement of accuracy by various mathematical assessments. It demonstrated high accuracy (99.93%) and reduced registration time. As a result, the GA-CPSO approach significantly improves the effectiveness of frame accumulation and enhances overall image quality. This study explored the groundwork for precise multispectral transmission image segmentation and classification. Full article
(This article belongs to the Special Issue Optical Imaging for Biomedical Applications)
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Graphical abstract

Graphical abstract
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<p>Flow chart of GA-CPSO registration algorithm.</p>
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<p>Schematic of the image acquisition system.</p>
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<p>Experimental setup for multispectral image acquisition.</p>
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<p>Illustrative multispectral transmission images of the human breast for Subject 1 captured at (<b>a</b>) 600 nm, (<b>b</b>) 620 nm, (<b>c</b>) 670 nm, and (<b>d</b>) 760 nm.</p>
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<p>Illustrative multispectral transmission images of the human breast for Subject 2 captured at (<b>a</b>) 600 nm, (<b>b</b>) 620 nm, (<b>c</b>) 670 nm, and (<b>d</b>) 760 nm.</p>
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<p>Image registration: fixed image (<b>a</b>), moving image (<b>b</b>), and registered image (<b>c</b>).</p>
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<p>Optimization of the mean squared error.</p>
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<p>Frame accumulation comparison: (<b>a</b>) direct frame accumulation, and its corresponding histogram displayed in (<b>e</b>), (<b>b</b>) frame accumulation with GA-CPSO registration applied to 20 frames and its corresponding histogram shown in (<b>f</b>), (<b>c</b>) area cropped from the direct accumulation method presented in detail, (<b>d</b>) area cropped following GA-CPSO enhancement.</p>
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<p>Example of Image Registration for Subject 2 at 670 nm: (<b>a</b>) transformed (reference) image with shift of (25, −20, 5), (<b>b</b>) original (moving) image, and (<b>c</b>) aligned image post-registration using GA-CPSO.</p>
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<p>Comparison of image quality for direct accumulation and accumulation with registration for Subject 2 at 620 nm (20 Frames).</p>
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<p>Comparison of image quality for frame accumulation only and GA-CPSO algorithm-based registration plus frame accumulation (Subject 1). The evaluation metrics include the energy of image gradient (<b>a</b>), Brenner gradient function (<b>b</b>), gray level (<b>c</b>), standard deviation (<b>d</b>), and entropy (<b>e</b>).</p>
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<p>Cropped image showing ghosting effect due to frame accumulation from 670 nm wavelength images: (<b>a</b>) original single frame, (<b>b</b>) 20 frames direct accumulation, and (<b>c</b>) 20 frames accumulation after GA-CPSO registration.</p>
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26 pages, 11958 KiB  
Article
Design of Positive Pressure Re-Acceleration Assisted Seeding Mechanism for Corn Based on CFD-EDEM Gas-Solid Coupling Simulation
by Liwei Li, Guangwei Wu, Zhijun Meng, Yuejin Xiao, Yanxin Yin, Bingxin Yan and Chunjiang Zhao
Agriculture 2024, 14(11), 1927; https://doi.org/10.3390/agriculture14111927 - 30 Oct 2024
Viewed by 1015
Abstract
This study proposes a positive pressure re-acceleration assisted seeding mechanism and analyzes the motion mechanism of corn seeds during the seeding process. By employing the CFD-EDEM gas-solid coupling simulation analysis method, the fluid characteristics, initial ejection velocity of seeds, seed dropping time difference, [...] Read more.
This study proposes a positive pressure re-acceleration assisted seeding mechanism and analyzes the motion mechanism of corn seeds during the seeding process. By employing the CFD-EDEM gas-solid coupling simulation analysis method, the fluid characteristics, initial ejection velocity of seeds, seed dropping time difference, and sowing position difference in the seeding mechanism under different structural parameters of the air pressure valve body were investigated. The optimal structural parameters of the air pressure valve body were determined (nozzle gap c = 0.6 mm, throat constriction diameter d = 16 mm, and throat constriction length l = 44 mm). A multi-factor experimental method was used to explore the effects of airflow pressure, forward speed during sowing, and sowing distance on sowing performance, aiming to identify the optimal working parameters for the positive pressure re-acceleration seeding mechanism. High-speed camera technology was used to record and analyze the seed movement process. The results indicate that an increase in positive pressure within the seed guide tube shortens the sowing time of corn seeds, reduces the coefficient of variation of seed dropping time difference, and effectively improves the consistency of sowing distance. The optimal parameters are a forward speed of 8 km/h, sowing distance of 20 cm, airflow pressure of 10 kPa, with a sowing distance coefficient of variation of 7.56%, and a seed dropping time difference coefficient of variation of 5.35%. Full article
(This article belongs to the Section Agricultural Technology)
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<p>The structure of the seeder and seeding mechanism. (<b>a</b>) The overall structure of the seeder and seeding mechanism comprises the following components: 1. Front shell body; 2. Fixed disc; 3. Sealing disc; 4. Sealing disc mounting frame; 5. Seed cleaning teeth; 6. Seed distribution plate; 7. Rear shell body; 8. Air intake tube; 9. Upper section of the seed guide tube; 10. Air pressure valve body; 11. Nozzle inlet pipe; 12. Nozzle outlet pipe; 13. Lower section of the seed guide tube; 14. Seed pressing wheel; (<b>b</b>) The internal structure of the air pressure valve body; 15. Nozzle gap; 16. Throat constriction (throat reduction).</p>
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<p>Force diagram of seeds in the vertical falling section. Where: <math display="inline"><semantics> <mrow> <mi>t</mi> </mrow> </semantics></math> the pneumatic assistance acceleration time, in seconds (s); <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>L</mi> </mrow> <mrow> <mi>s</mi> </mrow> </msub> </mrow> </semantics></math> is the pneumatic acceleration displacement of the corn seed, in meters (m); <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>G</mi> </mrow> <mrow> <mi>s</mi> </mrow> </msub> </mrow> </semantics></math> is the gravitational force acting on the corn seed, in Newtons (N); <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>R</mi> </mrow> <mrow> <mi>s</mi> </mrow> </msub> </mrow> </semantics></math> is the thrust force exerted by the air flow on the corn seed, in Newtons (N).</p>
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<p>Brachistochrone curve function graph.</p>
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<p>Force Analysis of Corn Seeds’ Wall-Adhesion Motion.</p>
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<p>Finite element mesh; (<b>a</b>) Finite element mesh for the seeding mechanism; (<b>b</b>) Finite element mesh for pneumatic valve body; (<b>c</b>) Finite element mesh for nozzle gap.</p>
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<p>Establishment of the discrete element model for corn seeds; (<b>a</b>) Horse-tooth shaped seed; (<b>b</b>) Ellipsoidal conical seed.</p>
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<p>Flow field simulation parameter diagram.</p>
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<p>Sowing position schematic diagram.</p>
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<p>Bench test: 1. Air-suction seed-metering device; 2. Positive pressure seed-metering device; 3. Pneumatic seed-metering device; 4. High-speed camera; 5. High-speed camera light source; 6. Suction air duct; 7. Roots blower air supply pipe.</p>
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<p>Velocity contour diagrams at different nozzle gaps; (<b>a</b>) Velocity contour diagram at a nozzle gap of 0.3 mm; (<b>b</b>) Velocity contour diagram at a nozzle gap of 0.5 mm; (<b>c</b>) Velocity contour diagram at a nozzle gap of 0.7 mm; (<b>d</b>) Velocity contour diagram at a nozzle gap of 0.9 mm.</p>
Full article ">Figure 10 Cont.
<p>Velocity contour diagrams at different nozzle gaps; (<b>a</b>) Velocity contour diagram at a nozzle gap of 0.3 mm; (<b>b</b>) Velocity contour diagram at a nozzle gap of 0.5 mm; (<b>c</b>) Velocity contour diagram at a nozzle gap of 0.7 mm; (<b>d</b>) Velocity contour diagram at a nozzle gap of 0.9 mm.</p>
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<p>Axial flow velocity in the seed guide tube at different nozzle gaps.</p>
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<p>Velocity contour diagram of the mixing area cross-section at different throat diameters; (<b>a</b>) When the throat constriction diameter <span class="html-italic">d</span> = 11 mm; (<b>b</b>) When the throat constriction diameter <span class="html-italic">d</span> = 13 mm; (<b>c</b>) When the throat constriction diameter <span class="html-italic">d</span> = 15 mm; (<b>d</b>) When the throat constriction diameter <span class="html-italic">d</span> = 17 mm.</p>
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<p>Airflow Pressure and velocity on the central axis of the seed guide tube.</p>
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<p>Initial ejection velocity response surface.</p>
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<p>Seed dropping time difference response surface; (<b>a</b>) The impact of nozzle gap <span class="html-italic">c</span> and throat contraction diameter <span class="html-italic">d</span> on seed falling time difference; (<b>b</b>) The influence of nozzle gap <span class="html-italic">c</span> and the length of the throat contraction <span class="html-italic">l</span> on the seed dropping time difference.</p>
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<p>Coefficient of Variation for Seed dropping time difference Response Surface; (<b>a</b>) The impact of nozzle gap <span class="html-italic">c</span> and throat contraction diameter <span class="html-italic">d</span> on the coefficient of variation of seed dropping time difference; (<b>b</b>) The impact of nozzle gap <span class="html-italic">c</span> and throat contraction length <span class="html-italic">l</span> on the coefficient of variation for seed dropping time difference; (<b>c</b>) The impact of throat contraction diameter <span class="html-italic">d</span> and throat contraction length <span class="html-italic">l</span> on the coefficient of variation of seed dropping time difference.</p>
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<p>Seed collisions within the throat alter the trajectory of seed particle motion.</p>
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<p>Coefficient of variation of seed placement position response surface: (<b>a</b>) When the throat constriction diameter <span class="html-italic">d</span> = 14.; (<b>b</b>) When the nozzle spacing <span class="html-italic">c</span> = 0.4. (<b>c</b>) When the nozzle spacing <span class="html-italic">c</span> = 0.6 mm.</p>
Full article ">Figure 19
<p>The impact of airflow pressure and seed advance speed on the seed dropping time difference under different seed spacings: (<b>a</b>) Seed spacing = 10 cm; (<b>b</b>) Seed spacing = 20 cm; (<b>c</b>) Seed spacing = 30 cm.</p>
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<p>The impact of airflow pressure and seed advance speed on the coefficient of variation for seed dropping time difference under different seed spacings: (<b>a</b>) Seed spacing = 10 cm; (<b>b</b>) Seed spacing = 20 cm; (<b>c</b>) Seed spacing = 30 cm.</p>
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<p>The impact of airflow pressure and seeding advance speed on the coefficient of variation for seed spacing under different seed spacings: (<b>a</b>) Seed spacing = 10 cm; (<b>b</b>) Seed spacing = 20 cm; (<b>c</b>) Seed spacing = 30 cm.</p>
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25 pages, 6293 KiB  
Article
Activation of GABABR Attenuates Intestinal Inflammation by Reducing Oxidative Stress through Modulating the TLR4/MyD88/NLRP3 Pathway and Gut Microbiota Abundance
by Ziteng Deng, Dan Li, Lu Wang, Jing Lan, Jiaqi Wang and Yunfei Ma
Antioxidants 2024, 13(9), 1141; https://doi.org/10.3390/antiox13091141 - 21 Sep 2024
Cited by 1 | Viewed by 1541
Abstract
Oxidative stress emerges as a prominent factor in the onset and progression of intestinal inflammation, primarily due to its critical role in damaging cells and tissues. GABAergic signaling is important in the occurrence and development of various intestinal disorders, yet its effect on [...] Read more.
Oxidative stress emerges as a prominent factor in the onset and progression of intestinal inflammation, primarily due to its critical role in damaging cells and tissues. GABAergic signaling is important in the occurrence and development of various intestinal disorders, yet its effect on oxidative stress remains unclear. We attempted to assess whether GABAergic signaling participated in the regulation of oxidative stress during enteritis. The results showed that lipopolysaccharide (LPS) significantly decreased γ-aminobutyric acid (GABA) levels in the ileal tissues of mice. Interestingly, the application of GABA significantly repressed the shedding of intestinal mucosal epithelial cells and inflammatory cell infiltration, inhibited the expressions of proinflammatory factors, including granulocyte colony-stimulating factor and granulocyte-macrophage colony stimulating factor, and enhanced the levels of anti-inflammatory cytokines interleukin (IL)-4 and IL-10, indicating that GABA could alleviate enteritis in mice. This observation was further supported by transcriptome sequencing, revealing a total of 271 differentially expressed genes, which exhibited a marked enrichment of inflammatory and immune-related pathways, alongside a prominent enhancement of GABA B receptor (GABABR) signaling following GABA administration. Effectively, Baclofen pretreatment alleviated intestinal mucosal damage in LPS-induced mice, suppressed proinflammatory cytokines IL-1β, IL-6, and tumor necrosis factor alpha expressions, and boosted total antioxidant capacity, superoxide dismutase (SOD), and glutathione (GSH) levels. Moreover, Baclofen notably enhanced the viability of LPS-stimulated IPEC-J2 cells, contracted the proinflammatory secretion factors, and reinforced SOD, GSH, and catalase levels, emphasizing the anti-inflammatory and antioxidant effects associated with GABABR activation. Mechanistically, Baclofen restrained the mRNA and protein levels of toll-like receptor 4 (TLR4), myeloid differentiation factor 88 (MyD88), nucleotide-binding oligomerization domain, leucine-rich repeat and pyrin domain-containing 3 (NLRP3), and inducible nitric oxide synthase, while elevating nuclear factor erythroid 2-related factor 2 and heme oxygenase-1 in both mice and IPEC-J2 cells, indicating that activating GABABR strengthened antioxidant abilities by interrupting the TLR4/MyD88/NLRP3 pathway. Furthermore, 16S rDNA analysis demonstrated that Baclofen increased the relative abundance of probiotic, particularly Lactobacillus, renowned for its antioxidant properties, while reducing the relative richness of harmful bacteria, predominantly Enterobacteriaceae, suggesting that GABABR signaling may have contributed to reversing intestinal flora imbalances to relieve oxidative stress in LPS-induced mice. Our study identified previously unappreciated roles for GABABR signaling in constricting oxidative stress to attenuate enteritis, thus offering novel insights for the treatment of intestinal inflammation. Full article
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Figure 1
<p>The changes of GABA level during LPS-induced intestinal inflammation. (<b>A</b>) The amount of weight loss was quantified for both the control (CON) and LPS-treated (LPS) groups at various time points. (<b>B</b>) Representative images display H&amp;E-stained cross-sections of the ileum from both the CON and LPS groups at specific time intervals, with a 50 μm scale bar provided. (<b>C</b>–<b>E</b>) The expression levels of IL-1β, IL-6, and TNF-α mRNAs were determined through qRT-PCR analysis of mouse intestinal tissue samples collected at different times. GAPDH served as the reference gene for data normalization, and the relative fold changes in expression compared to the CON group were computed using the 2<sup>−ΔΔCT</sup> method. (<b>F</b>) The levels of GABA in ileal tissue were measured using UHPLC-MS/MS at 3, 6, and 12 h post-treatment. The presented data are the mean ± SD. * indicates that the difference between the CON and the LPS is significant (<span class="html-italic">p</span> &lt; 0.05). ** or *** indicates that the difference between the CON and the LPS is extremely significant (<span class="html-italic">p</span> &lt; 0.01 or <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>GABA attenuates intestinal mucosa injury by improving inflammatory factor expression in LPS-induced mice. (<b>A</b>) To determine weight loss, the body weights of mice were measured and compared to their initial weights at the commencement of LPS treatment. The results are presented for untreated mice (CON), mice subjected to LPS treatment (LPS), and mice treated with GABA following LPS induction (LPS + GABA). (<b>B</b>) Ileal tissues from various groups, including the control (CON), mice treated solely with GABA (GABA), mice treated with LPS, and mice treated with both LPS and GABA, were stained with H&amp;E. The scale bar represents 50 μm. (<b>C</b>–<b>Y</b>) Inflammatory cytokines in ileal tissues were analyzed using Luminex liquid suspension chip detection. The data are presented as the mean ± SD. Statistical significance is denoted as follows: * represents a significant difference between the CON and LPS groups (<span class="html-italic">p</span> &lt; 0.05), while ** or *** signifies an extremely significant difference (<span class="html-italic">p</span> &lt; 0.01 or <span class="html-italic">p</span> &lt; 0.001). Differences between the LPS and LPS + GABA groups are marked with # for significant (<span class="html-italic">p</span> &lt; 0.05) and ## or ### for extremely significant differences (<span class="html-italic">p</span> &lt; 0.01 or <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>Transcriptome analysis of LPS-induced mice after GABA administration. (<b>A</b>) Total number of up- or downregulated genes of significant DEGs. (<b>B</b>,<b>C</b>) Volcano plot illustrating differentially regulated gene expression from RNA-seq analysis between LPS and CON, GABA and LPS, respectively. Genes upregulated and downregulated are shown in red and green, respectively. (<b>D</b>,<b>E</b>) Differential gene expression heat maps of mice between LPS and CON, GABA and LPS, respectively. (<b>F</b>,<b>G</b>) GO analysis showed the top 30 of enriched signaling in ileal tissues between LPS and CON, GABA and LPS, respectively. (<b>H</b>,<b>I</b>) KEGG analysis showed the top 30 of enriched signaling in ileal tissues between LPS and CON, GABA and LPS, respectively. CON: control group; LPS: LPS group; GABA: LPS + GABA treatment group.</p>
Full article ">Figure 3 Cont.
<p>Transcriptome analysis of LPS-induced mice after GABA administration. (<b>A</b>) Total number of up- or downregulated genes of significant DEGs. (<b>B</b>,<b>C</b>) Volcano plot illustrating differentially regulated gene expression from RNA-seq analysis between LPS and CON, GABA and LPS, respectively. Genes upregulated and downregulated are shown in red and green, respectively. (<b>D</b>,<b>E</b>) Differential gene expression heat maps of mice between LPS and CON, GABA and LPS, respectively. (<b>F</b>,<b>G</b>) GO analysis showed the top 30 of enriched signaling in ileal tissues between LPS and CON, GABA and LPS, respectively. (<b>H</b>,<b>I</b>) KEGG analysis showed the top 30 of enriched signaling in ileal tissues between LPS and CON, GABA and LPS, respectively. CON: control group; LPS: LPS group; GABA: LPS + GABA treatment group.</p>
Full article ">Figure 3 Cont.
<p>Transcriptome analysis of LPS-induced mice after GABA administration. (<b>A</b>) Total number of up- or downregulated genes of significant DEGs. (<b>B</b>,<b>C</b>) Volcano plot illustrating differentially regulated gene expression from RNA-seq analysis between LPS and CON, GABA and LPS, respectively. Genes upregulated and downregulated are shown in red and green, respectively. (<b>D</b>,<b>E</b>) Differential gene expression heat maps of mice between LPS and CON, GABA and LPS, respectively. (<b>F</b>,<b>G</b>) GO analysis showed the top 30 of enriched signaling in ileal tissues between LPS and CON, GABA and LPS, respectively. (<b>H</b>,<b>I</b>) KEGG analysis showed the top 30 of enriched signaling in ileal tissues between LPS and CON, GABA and LPS, respectively. CON: control group; LPS: LPS group; GABA: LPS + GABA treatment group.</p>
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<p>GABA<sub>B</sub>R activation could reduce the levels of inflammatory cytokine and oxidative stress in LPS-induced mice. (<b>A</b>) To assess weight loss, the body weights of mice were measured and compared to their weights recorded at the start of LPS treatment. The presented results cover untreated mice (CON), mice treated with LPS, and mice treated with Baclofen following LPS induction (LPS + Baclofen). (<b>B</b>) Ileal tissues from the CON, LPS, and LPS + Baclofen mice groups underwent H&amp;E staining. The scale bar represents 50 μm. (<b>C</b>–<b>E</b>) qRT-PCR was employed to determine the mRNA levels of IL-1β, IL-6, and TNF-α, with GAPDH serving as the reference gene. The average fold changes compared to the CON group were calculated using the 2<sup>−ΔΔCT</sup> method. (<b>F</b>–<b>H</b>) The graphs depict the expression levels of T-AOC, SOD, and GSH in ileal tissues. Data are presented as mean ± SEM. Statistical significance is denoted by asterisks: * for significant differences between CON and LPS (<span class="html-italic">p</span> &lt; 0.05), ** or *** for extremely significant differences (<span class="html-italic">p</span> &lt; 0.01 or <span class="html-italic">p</span> &lt; 0.001). # indicate significant differences between the LPS and LPS + Baclofen groups, with # for significant (<span class="html-italic">p</span> &lt; 0.05) and ## or ### for extremely significant differences (<span class="html-italic">p</span> &lt; 0.01 or <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>GABA<sub>B</sub>R activation could reduce the levels of inflammatory cytokine and oxidative stress in IPEC-J2 cells. (<b>A</b>–<b>C</b>) qRT-PCR was utilized to determine the mRNA levels of IL-1β, IL-6, and TNF-α in IPEC-J2 cells treated with varying concentrations of LPS (0.1, 1, 10, 50 mg/mL). (<b>D</b>–<b>F</b>) The mRNA expression of IL-1β, IL-6, and TNF-α was assessed by qRT-PCR at different time intervals following LPS administration to IPEC-J2 cells. (<b>G</b>) Cultured IPEC-J2 cells were subjected to single immunofluorescence staining for GABA<sub>B</sub>R. The scale bar represents 50 μm. (<b>H</b>,<b>I</b>) Western blot (WB) analysis was conducted to examine the expression of GABA<sub>B</sub>R in IPEC-J2 cells. (<b>J</b>) Cell viability assessments were performed on IPEC-J2 cells in the CON, LPS, and LPS + Baclofen groups. (<b>K</b>–<b>M</b>) The mRNA levels of IL-1β, IL-6, and TNF-α were measured by qRT-PCR in the CON, LPS, and LPS + Baclofen groups. (<b>N</b>–<b>P</b>) The levels of SOD, GSH, and CAT were determined in the same groups. For qRT-PCR, GAPDH was used as the reference gene, and fold changes relative to the CON group were calculated using the 2<sup>−ΔΔCT</sup> method. For WB, protein expression was normalized against β-actin. Data are presented as mean ± SEM. Statistical significance is denoted by asterisks: * for significant differences between CON and LPS (<span class="html-italic">p</span> &lt; 0.05), ** or *** for extremely significant differences (<span class="html-italic">p</span> &lt; 0.01 or <span class="html-italic">p</span> &lt; 0.001). # indicate significant differences between the LPS and LPS + Baclofen groups, with # for significant (<span class="html-italic">p</span> &lt; 0.05) and ## or ### for extremely significant differences (<span class="html-italic">p</span> &lt; 0.01 or <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>GABA<sub>B</sub>R activation could ameliorate oxidative stress by inhibiting TLR4/MyD88/NLRP3 in vivo and in vitro. (<b>A</b>–<b>D</b>) WB analysis of the expression of NRF2, HO-1, and iNOS in ileal tissues of mice. (<b>E</b>–<b>H</b>) WB analysis of the expression of NRF2, HO-1, and iNOS in IPEC-J2 cells. (<b>I</b>–<b>L</b>) WB analysis of the expression of TLR4, MyD88, and NLRP3 in ileal tissues of mice. (<b>M</b>–<b>P</b>) WB analysis of the expression of TLR4, MyD88, and NLRP3 in IPEC-J2 cells. For WB, protein expression was normalized against β-actin. Data are presented as mean ± SEM. Statistical significance is denoted by asterisks: * for significant differences between CON and LPS (<span class="html-italic">p</span> &lt; 0.05), ** or *** for extremely significant differences (<span class="html-italic">p</span> &lt; 0.01 or <span class="html-italic">p</span> &lt; 0.001). # indicate significant differences between the LPS and LPS + Baclofen groups, with # for significant (<span class="html-italic">p</span> &lt; 0.05) and ## or ### for extremely significant differences (<span class="html-italic">p</span> &lt; 0.01 or <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>Diversity indexes of microbiota in the mice intestine. (<b>A</b>) Venn diagram of the number of OTUs. (<b>B</b>) OTU number histogram. (<b>C</b>–<b>F</b>) α-diversity analyzed by ACE, Chao1, Shannon and Simpson indices. (<b>G</b>–<b>J</b>) Principal component, principal coordinates, NMDS and sample clustering heat map analyses of gut microbiota of each group. CON: control group; LPS: LPS group; Baclofen: LPS + Baclofen treatment group.</p>
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<p>Analysis of the microbial composition. (<b>A</b>–<b>F</b>) 16S rDNA sequencing results of relative abundance of intestinal bacteria in mice at phylum, class, order, family, genus, and species levels in each group. (<b>G</b>–<b>L</b>) Cluster heatmap of species abundance in each group. CON: control group; LPS: LPS group; Baclofen: LPS + Baclofen treatment group.</p>
Full article ">Figure 8 Cont.
<p>Analysis of the microbial composition. (<b>A</b>–<b>F</b>) 16S rDNA sequencing results of relative abundance of intestinal bacteria in mice at phylum, class, order, family, genus, and species levels in each group. (<b>G</b>–<b>L</b>) Cluster heatmap of species abundance in each group. CON: control group; LPS: LPS group; Baclofen: LPS + Baclofen treatment group.</p>
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20 pages, 12372 KiB  
Article
Influence of Anatomical Spatial Architecture of Pinus devoniana on Pressure Gradients Inferred from Coupling Three-Dimensional CT Imaging and Numerical Flow Simulations
by Juan Gabriel Rivera-Ramos, José Cruz de León, Dante Arteaga, Raúl Espinoza-Herrera, Erica Arreola García, Manuel Arroyo-Albiter and Luis Olmos
Forests 2024, 15(8), 1403; https://doi.org/10.3390/f15081403 - 10 Aug 2024
Cited by 2 | Viewed by 1090
Abstract
Conifer forests in Michoacán are facing climate change. Pinus devoniana Lindley, with natural distribution in the state, has shown certain adaptability, and knowing the influence of anatomy in the flow system is essential to delimit how it contributes to safety margins and water [...] Read more.
Conifer forests in Michoacán are facing climate change. Pinus devoniana Lindley, with natural distribution in the state, has shown certain adaptability, and knowing the influence of anatomy in the flow system is essential to delimit how it contributes to safety margins and water efficiency. For this, the pressure gradients in the cell lumens and their ramifications were analyzed by numerical simulations of flow throughout the real microstructure. Xylem were evaluated in radial, tangential and longitudinal directions. With the skeletonization of lumens and their constrictions, a branching system of interconnection between tracheids, ray cells, intercellular chambers, extensions, and blind pits were identified. In the simulation, the branched system bypasses the longitudinal fluid passage through the pores in membranes of pairs of pits to redirect it through the direct path branching, contributing to safety margins and water efficiency. Thus, resilience at low pressures because of the lower pressure drop in the extensions. The interface between the branching system and the cell lumens are sites of higher pressure gradient, more conducive to water-vapor formation or air leakage in the face of the lowest pressure system. The flow lines move along easy paths, regardless of the simulated flow direction. Deposits in the cell extensions were shown to be attached to the S3 layer of the cell wall, leaving the center of the duct free to flow. It is concluded that the spatial architecture of the xylem anatomy of Pinus dvoniana is a factor in the resilience at low pressures due to high water stress of the species. Full article
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Figure 1
<p>Sample preparation: (<b>a</b>) <span class="html-italic">Pinus devoniana</span> tree, (<b>b</b>) sample extraction, and (<b>c</b>) specimens used for the study.</p>
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<p>CT image processing: (<b>a</b>) initial image, (<b>b</b>) 3D-filtered initial image, (<b>c</b>) binary image, (<b>d</b>) tangential slice, (<b>e</b>) radial slice view of uncompleted fibers due to the angle between the fiber inclination and the crop section, (<b>f</b>) cross section, (<b>g</b>) the yellow rectangle is the ROI extracted from a 3D image acquired with 4 µm voxel, (<b>h</b>) color distribution.</p>
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<p>Reconstruction of continuity of cell cavities, spaces and cell extensions in microstructure of <span class="html-italic">Pinus devoniana</span> wood CT images: (<b>a</b>) continuity between lumen, pit, extensions spaces and extensions chambers, (<b>b</b>) types of extensions, (<b>c</b>) continuity in crossing fields, (<b>d</b>) chambers between extensions spaces, (<b>e</b>) checking of branches in transverse microstructure, (<b>f</b>) checking of branches in tracheid overlap zone microstructure; Parenchyma cavity (PC), extension (E), tracheid cavity (TC), blind pits (BP), chambers in BS (Ch), branched system (BS).</p>
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<p>CT images of the microstructure of <span class="html-italic">Pinus devoniana</span> wood: (<b>a</b>) cell cavities in the microstructure, (<b>b</b>) <span class="html-italic">Pinus devoniana</span> cell wall layers identified with CT, (<b>c</b>) connectivity of extensions and wall roughness, (<b>d</b>) tracheid corner extension; middle lamella (ML), extension (E), wood layer (S2) and (S3), parenchyma cavity (PC), tracheid cavity (TC), pit (P).</p>
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<p>Pressure gradient plots simulated of <span class="html-italic">Pinus devoniana</span> wood microstructure issues from CT images: (<b>a</b>) flow pressure drop on entering the tracheid, (<b>b</b>) pressure gradient in longitudinal flow direction, (<b>c</b>) different pressure gradient on the extensions, (<b>d</b>) similar pressure gradient between epithelial cells, tracheids, pits, and parenchyma; extension (E), tracheid (T), pits (P).</p>
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<p>Pressure plots in BS of <span class="html-italic">Pinus devoniana</span> wood microstructure from CT images: (<b>a</b>) longitudinal flow pressure drop in tracheids and extensions, (<b>b</b>) pressure drop in BS in a high pressure system; extension (E), tracheid (T), pits (P).</p>
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<p>Pressure plots in radial flow of <span class="html-italic">Pinus devoniana</span> wood microstructure from CT images: (<b>a</b>) flow pressure drop on entering the tracheid, (<b>b</b>) pressure gradient in radial flow direction; tracheid (T), pits (P).</p>
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<p>Pressure plots in tangential flow of <span class="html-italic">Pinus devoniana</span> wood microstructure from CT images: (<b>a</b>) pits in crossing fields, (<b>b</b>) pressure gradient in extensions in tangential flow direction; extension (E).</p>
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<p>Connection of blind pits with extensions on <span class="html-italic">Pinus devoniana</span> wood from CT images: (<b>a</b>) continuity of the tracheid lumen through the extensions, (<b>b</b>) connection of the extensions with the ray; extension (E), tracheid (T).</p>
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<p>Pressure plots and flow lines inside of the microstructure of <span class="html-italic">Pinus devoniana</span> wood from CT images: (<b>a</b>) pressure within chambers linking the extension connected in turn to blind pit chambers between two tracheids, (<b>b</b>) longitudinal flow lines avoiding the pit pairs and continuing through the extensions; extension (E), tracheid (T), branched system (BS).</p>
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<p>Microstructure of <span class="html-italic">Pinus devoniana</span> wood in 4 µm voxel from CT images; (<b>a</b>) early wood and late wood, (<b>b</b>) obstacles to flow, (<b>c</b>) relationship between pressure drop and diameter of cell lumens. Late Xylem (XL), Early Xylem (XE).</p>
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<p>Radial flow in microstructure of <span class="html-italic">Pinus devoniana</span> wood from CT images.</p>
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<p>Tangential flow in microstructure of <span class="html-italic">Pinus devoniana</span> wood from CT images: (<b>a</b>) flow lines in ray-extension continuation, (<b>b</b>) periodic flow in tracheid rays and extensions; resiniferous channel (Rch), extension (E).</p>
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14 pages, 1864 KiB  
Article
Factors Contributing to Coronary Microvascular Dysfunction in Patients with Angina and Non-Obstructive Coronary Artery Disease
by Hiroki Teragawa, Yuko Uchimura, Chikage Oshita, Yu Hashimoto and Shuichi Nomura
J. Cardiovasc. Dev. Dis. 2024, 11(7), 217; https://doi.org/10.3390/jcdd11070217 - 10 Jul 2024
Cited by 1 | Viewed by 1375
Abstract
Background: Coronary microvascular dysfunction (CMD), characterised by a reduced coronary flow reserve (CFR) or an increased index of microcirculatory resistance (IMR), has received considerable attention as a cause of chest pain in recent years. However, the risks and causes of CMD remain unclear; [...] Read more.
Background: Coronary microvascular dysfunction (CMD), characterised by a reduced coronary flow reserve (CFR) or an increased index of microcirculatory resistance (IMR), has received considerable attention as a cause of chest pain in recent years. However, the risks and causes of CMD remain unclear; therefore, effective treatment strategies have not yet been established. Heart failure or coronary artery disease (CAD) is a risk factor for CMD, with a higher prevalence among women. However, the other contributing factors remain unclear. In this study, we assessed the risk in patients with angina and non-obstructive coronary artery disease (ANOCA), excluding those with heart failure or organic stenosis of the coronary arteries. Furthermore, we analysed whether the risk of CMD differed according to component factors and sex. Methods: This study included 84 patients with ANOCA (36 men and 48 women; mean age, 63 years) who underwent coronary angiography and functional testing (CFT). The CFT included a spasm provocation test (SPT), followed by a coronary microvascular function test (CMVF). In the SPT, patients were mainly provoked by acetylcholine (ACh), and coronary spasm was defined as >90% transient coronary artery constriction on coronary angiography, accompanied by chest pain or ischaemic changes on electrocardiography. In 15 patients (18%) with negative ACh provocation, ergonovine maleate (EM) was administered as an additional provocative drug. In the CMVF, a pressure wire was inserted into the left anterior descending coronary artery using intravenous adenosine triphosphate, and the CFR and IMR were measured using previously described methods. A CFR < 2.0 or IMR ≥ 25 was indicative of CMD. The correlations between various laboratory indices and CMD and its components were investigated, and logistic regression analysis was performed, focusing on factors where p < 0.05. Results: Of the 84 patients, a CFR < 2.0 was found in 22 (26%) and an IMR ≥ 25 in 40 (48%) patients, with CMD identified in 46 (55%) patients. CMD was correlated with smoking (p = 0.020) and the use of EM (p = 0.020). The factors that correlated with a CFR < 2.0 included the echocardiograph index E/e′ (p = 0.013), which showed a weak but positive correlation with the CFR (r = 0.268, p = 0.013). Conversely, the factors correlated with an IMR ≥ 25 included RAS inhibitor usage (p = 0.018) and smoking (p = 0.042). Assessment of the risk of CMD according to sex revealed that smoking (p = 0.036) was the only factor associated with CMD in men, whereas the left ventricular mass index (p = 0.010) and low glycated haemoglobin levels (p = 0.012) were associated with CMD in women. Conclusions: Our results indicated that smoking status and EM use were associated with CMD. The risk of CMD differed between the two CMD components and sex. Although these factors should be considered when treating CMD, smoking cessation remains important. In addition, CMD assessment should be performed carefully when EM is used after ACh provocation. Further validation of our findings using prospective studies and large registries is warranted. Full article
(This article belongs to the Special Issue Cardiovascular Disease: Risk Factors and Prevention)
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<p>Study flow chart. AF, atrial fibrillation; ANOCA, angina with non-obstructive coronary artery disease; CFT, coronary function test; LAD, left anterior descending coronary artery; LV, left ventricular; PCI, percutaneous coronary intervention; SPT, spasm provocation test.</p>
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<p>Relationship between the E/e′ and the CFR in the LAD. The straight line is the regression line and the confidence interval is shown in blue. CFR, coronary flow reserve; LAD, left anterior descending coronary artery.</p>
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<p>Values of the IMR in relation to RAS inhibitor use. IMR, index of microcirculatory resistance; LAD, left anterior descending coronary artery; RAS, renin–angiotensin system.</p>
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15 pages, 1693 KiB  
Article
The Effect of Manner of Articulation and Syllable Affiliation on Tongue Configuration for Catalan Stop–Liquid and Liquid–Stop Sequences: An Ultrasound Study
by Daniel Recasens
Languages 2024, 9(7), 233; https://doi.org/10.3390/languages9070233 - 27 Jun 2024
Viewed by 1032
Abstract
The present study reports tongue configuration data recorded with ultrasound for two sets of consonant sequences uttered by five native Catalan speakers. Articulatory data for the onset cluster pairs [kl]-[ɣl] and [kɾ]-[ɣɾ], and also for [l#k]-[l#ɣ] and [r#k]-[r#ɣ], analyzed in the first part [...] Read more.
The present study reports tongue configuration data recorded with ultrasound for two sets of consonant sequences uttered by five native Catalan speakers. Articulatory data for the onset cluster pairs [kl]-[ɣl] and [kɾ]-[ɣɾ], and also for [l#k]-[l#ɣ] and [r#k]-[r#ɣ], analyzed in the first part of the investigation revealed that, as a general rule, the (shorter) velar approximant is less constricted than the (longer) voiceless velar stop at the velar and palatal zones while exhibiting a more retracted tongue body at the pharynx. These manner of articulation-dependent differences may extend into the preceding liquid. Data for [k#l]-[kl] and [k#r]-[kɾ] dealt with in the second part of the study show that the velar is articulated with more tongue body retraction for [k#l] vs. [kl] and for [k#r] vs. [kɾ], and with a higher tongue dorsum for [k#l] vs. [kl] and the reverse for [k#r] vs. [kɾ]. Therefore, clusters are produced with a more extreme lingual configuration across a word boundary than in syllable-onset position, which at least in part may be predicted by segmental factors for the [k#r]-[kɾ] pair. These articulatory data are compared with duration data for all sequence pairs. Full article
(This article belongs to the Special Issue Phonetics and Phonology of Ibero-Romance Languages)
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<p>Cross-speaker distance measures between the tongue surface and the origin of the ultrasound field of view sampled at consecutive temporal points during the sequence pairs [kl]-[ɣl], [kɾ]-[ɣɾ], [lk]-[lɣ], and [rk]-[rɣ]. The distance trajectories for each articulatory zone proceed from C1 onset (leftmost edge) to C2 offset (rightmost edge) through intermediate temporal points. PHAR = pharyngeal, VEL = velar, PAL = palatal, ALV = alveolar.</p>
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<p>Tongue configurations at the midpoint of C1 and C2 for [kl] and [ɣl] (<b>top</b>) and [kɾ] and [ɣɾ] (<b>bottom</b>) with the palate trace superimposed according to speaker JU. The front of the mouth is on the right of the graphs.</p>
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<p>Consonant durations and standard deviation values for cluster pairs differing in manner of articulation for the velar consonant.</p>
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<p>Cross-speaker distance measures between the tongue surface and the origin of the ultrasound field of view sampled at consecutive temporal points during the sequence pairs [k#l]-[kl] and [k#r]-[kɾ]. The distance trajectories for each articulatory zone proceed from C1 onset (leftmost edge) to C2 offset (rightmost edge) through intermediate temporal points. PHAR = pharyngeal, VEL = velar, PAL = palatal, ALV = alveolar.</p>
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<p>Tongue configurations at the midpoint of C1 and C2 for [k#l] and [kl] (<b>top</b>) and [k#r] and [kɾ] (<b>bottom</b>) with the palate trace superimposed according to speaker RO. The front of the mouth is on the right of the graphs.</p>
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<p>Consonant durations and standard deviation values for cluster pairs differing in word boundary availability.</p>
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19 pages, 10454 KiB  
Article
Simulation and Management Impact Evaluation of Debris Flow in Dashiling Gully Based on FLO-2D Modeling
by Xiamin Jia, Jianguo Lv and Yaolong Luo
Appl. Sci. 2024, 14(10), 4216; https://doi.org/10.3390/app14104216 - 16 May 2024
Cited by 1 | Viewed by 1420
Abstract
Dashiling Gully, located in Miyun District, Beijing, exhibits a high susceptibility to debris flow due to its unique geological and topographical characteristics. The area is characterized by well-developed rock joints and fissures, intense weathering, a steep gradient, and a constricted gully morphology. These [...] Read more.
Dashiling Gully, located in Miyun District, Beijing, exhibits a high susceptibility to debris flow due to its unique geological and topographical characteristics. The area is characterized by well-developed rock joints and fissures, intense weathering, a steep gradient, and a constricted gully morphology. These factors contribute to the accumulation of surface water and loose sediment, significantly increasing the risk of debris flow events. Following a comprehensive field geological investigation of Dashiling Gully, key parameters for simulation were obtained, including fluid weight, volume concentration, and rainfall. The formation and development conditions of potential mudslides were analyzed, and numerical simulations were conducted using FLO-2D software (version 2009) to assess scenarios with rainfall probabilities of 1 in 30, 50, and 100 years. The simulations accurately reconstructed the movement velocity, deposition depth, and other critical movement characteristics of mudslides under each rainfall scenario. Using ArcGIS, pre- and post-treatment hazard zoning maps were generated for Dashiling Gully. Furthermore, the efficacy of implementing a retaining wall as a mitigation measure was evaluated through additional numerical simulations. The results indicated that mudslide velocities ranged from 0 to 3 m/s, with deposition depths primarily between 0 and 3 m. The maximum recorded velocity reached 3.5 m/s, corresponding to a peak deposition depth of 4.31 m. Following the implementation of the retaining wall, the maximum deposition depth significantly decreased to 1.9 m, and high-risk zones were eliminated, demonstrating the intervention’s effectiveness. This study provides a rigorous evaluation of mudslide movement characteristics and the impact of mitigation measures within Dashiling Gully. The findings offer valuable insights and serve as a reference for forecasting and mitigating similar mudslide events triggered by heavy rainfall in gully mudslides. Full article
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<p>Geographic location of the Dashiling Gully study area within Miyun District, Beijing (<b>a</b>–<b>c</b>).</p>
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<p>Loose sediment deposits on slopes within the Dashiling Gully study area.</p>
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<p>Debris flow hazard zone map of Dashiling Gully.</p>
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<p>Drainage network map of Dashiling Gully.</p>
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<p>Location map of catchment points in Dashiling Gully.</p>
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<p>Spatial distribution of mudslide velocity and deposition depth under different rainfall frequencies.</p>
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<p>Mudslide hazard zone map.</p>
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<p>Mudslide deposition depth map for a 100-year rainfall frequency event following the implementation of check dams.</p>
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<p>Mudslide velocity map for a 100-year rainfall frequency event following the implementation of check dams.</p>
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<p>Mudslide hazard zone map following the implementation of check dams.</p>
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11 pages, 6323 KiB  
Case Report
Management of Ebstein Anomaly in the Current Era: The Story of One Fetus and the Collaboration of Many—A Case Report
by Ann Kavanaugh-McHugh, Lisa C. Zuckerwise, Stacy A. S. Killen, Emily A. Morris, Rachel T. Sullivan, Mhd Wael Alrifai, David P. Bichell, Melissa Smith-Parrish and Lindsay Freud
J. Cardiovasc. Dev. Dis. 2024, 11(5), 147; https://doi.org/10.3390/jcdd11050147 - 9 May 2024
Viewed by 1879
Abstract
Collaborative multicenter research has significantly increased our understanding of fetal Ebstein anomaly, delineating risk factors for adverse outcomes as well as predictors of postnatal management. These data are incorporated into prenatal care and therapeutic strategies and inform family counseling and delivery planning to [...] Read more.
Collaborative multicenter research has significantly increased our understanding of fetal Ebstein anomaly, delineating risk factors for adverse outcomes as well as predictors of postnatal management. These data are incorporated into prenatal care and therapeutic strategies and inform family counseling and delivery planning to optimize care. This report details the translation of findings from multicenter studies into multidisciplinary prenatal care for a fetus with Ebstein anomaly, supraventricular tachycardia, and a circular shunt, including transplacental therapy to control arrhythmias and achieve ductal constriction, informed and coordinated delivery room management, and planned univentricular surgical palliation. Full article
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<p>Panel (<b>A</b>): Paired fetal echocardiographic apical still frame images showing cardiomegaly, right atrial dilation, tricuspid annular dilation, and right ventricular enlargement at presentation at 28 6/7 weeks gestation. RA = Right Atrium, RV = Right Ventricle, LA = Left Atrium, LV = Left Ventricle. Doppler Color flow mapping superimposed on the panel at right demonstrates severe tricuspid insufficiency (arrow). Panel (<b>B</b>): Paired fetal echocardiographic sagittal still frame images of the dilated RV, the normal-sized RVOT, and the reverse-oriented ductus. RV = Right Ventricle, PV = Pulmonary Valve, MPA = Main Pulmonary Artery, LV = Left Ventricle, DA = Ductus Arteriosus. Doppler Color flow mapping in the panel at right demonstrates retrograde flow in the reverse-oriented ductus (blue), retrograde flow in the main pulmonary artery (orange), and marked pulmonary valve insufficiency (red). All images were produced on a GE Voluson E10 Ultrasound System.</p>
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<p>Timeline detailing pregnancy events and medical management during the course of pregnancy. SVT = Supraventricular Tachycardia, RV = Right Ventricular, PBF = Pulmonary Blood Flow, Pul Insufficiency = Pulmonary Valve Insufficiency.</p>
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<p>Echocardiographic sagittal still frame image of the fetal chest and abdomen demonstrating ascites and pericardial effusion (arrows) in the setting of early fetal hydrops at 30 6/7 weeks gestation (GE Voluson E10 Imaging System).</p>
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<p>Echocardiographic sagittal still frame image of the fetal thorax with color flow mapping demonstrating retrograde flow in a diminutive ductus arteriosus (arrow). RA = Right Atrium, AAo = Ascending Aorta, LA = Left Atrium, DAo = Descending Aorta (GE Voluson E10 Imaging System).</p>
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<p>Delivery Plan for multidisciplinary team as saved to Fetal Connections with details of planned management from time of hospital admission of the maternal-fetal dyad until neonatal surgery at 24 to 48 h of age.</p>
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27 pages, 2011 KiB  
Review
The Intersection of HIV and Pulmonary Vascular Health: From HIV Evolution to Vascular Cell Types to Disease Mechanisms
by Amanda K. Garcia and Sharilyn Almodovar
J. Vasc. Dis. 2024, 3(2), 174-200; https://doi.org/10.3390/jvd3020015 - 6 May 2024
Viewed by 2285
Abstract
People living with HIV (PLWH) face a growing burden of chronic diseases, owing to the combinations of aging, environmental triggers, lifestyle choices, and virus-induced chronic inflammation. The rising incidence of pulmonary vascular diseases represents a major concern for PLWH. The study of HIV-associated [...] Read more.
People living with HIV (PLWH) face a growing burden of chronic diseases, owing to the combinations of aging, environmental triggers, lifestyle choices, and virus-induced chronic inflammation. The rising incidence of pulmonary vascular diseases represents a major concern for PLWH. The study of HIV-associated pulmonary vascular complications ideally requires a strong understanding of pulmonary vascular cell biology and HIV pathogenesis at the molecular level for effective applications in infectious diseases and vascular medicine. Active HIV infection and/or HIV proteins disturb the delicate balance between vascular tone and constriction, which is pivotal for maintaining pulmonary vascular health. One of the defining features of HIV is its high genetic diversity owing to several factors including its high mutation rate, recombination between viral strains, immune selective pressures, or even geographical factors. The intrinsic HIV genetic diversity has several important implications for pathogenic outcomes of infection and the overall battle to combat HIV. Challenges in the field present themselves from two sides of the same coin: those imposed by the virus itself and those stemming from the host. The field may be advanced by further developing in vivo and in vitro models that are well described for both pulmonary vascular diseases and HIV for mechanistic studies. In essence, the study of HIV-associated pulmonary vascular complications requires a multidisciplinary approach, drawing upon insights from both infectious diseases and vascular medicine. In this review article, we discuss the fundamentals of HIV virology and their impact on pulmonary disease, aiming to enhance the understanding of either area or both simultaneously. Bridging the gap between preclinical research findings and clinical practice is essential for improving patient care. Addressing these knowledge gaps requires interdisciplinary collaborations, innovative research approaches, and dedicated efforts to prioritize HIV-related pulmonary complications on the global research agenda. Full article
(This article belongs to the Section Cardiovascular Diseases)
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<p><b>Schematic of healthy vascular tone compared to diseased pulmonary vasoconstriction.</b> Several factors including lifestyle, oxygen levels, and infectious diseases can influence vascular tone. Features of healthy vascular tone include nitric oxide production, as well as cell cross-talk between endothelial, smooth muscle cells, and adventitial cells. Features of diseased pulmonary vasoconstriction include apoptosis, oxidative stress, and hyperproliferative cells.</p>
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<p><b>Overview of HIV-1 <span class="html-italic">tat, env,</span> and <span class="html-italic">nef</span> in the viral genome including their function and role in the vasculature.</b> HIV-1-encoded proteins Nef, Tat, and gp120 play roles in the damage of the vascular endothelium that contributes to vascular diseases in people living with HIV.</p>
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<p><b>Diagram indicating HIV X4, which uses C-X-C chemokine receptor type 4 (CXCR4) and HIV R5, which uses C-C chemokine receptor type 5 (CCR5).</b> Interactions with CXCR4 or CCR5 are determined by HIV-1 glycoprotein 120 (gp120).</p>
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<p><b>Comparison between animal models to study HIV-associated pulmonary</b> <b>vascular comorbidities.</b></p>
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20 pages, 3165 KiB  
Article
Essential Role of COPII Proteins in Maintaining the Contractile Ring Anchoring to the Plasma Membrane during Cytokinesis in Drosophila Male Meiosis
by Yoshiki Matsuura, Kana Kaizuka and Yoshihiro H. Inoue
Int. J. Mol. Sci. 2024, 25(8), 4526; https://doi.org/10.3390/ijms25084526 - 20 Apr 2024
Viewed by 1706
Abstract
Coatomer Protein Complex-II (COPII) mediates anterograde vesicle transport from the endoplasmic reticulum (ER) to the Golgi apparatus. Here, we report that the COPII coatomer complex is constructed dependent on a small GTPase, Sar1, in spermatocytes before and during Drosophila male meiosis. COPII-containing foci [...] Read more.
Coatomer Protein Complex-II (COPII) mediates anterograde vesicle transport from the endoplasmic reticulum (ER) to the Golgi apparatus. Here, we report that the COPII coatomer complex is constructed dependent on a small GTPase, Sar1, in spermatocytes before and during Drosophila male meiosis. COPII-containing foci co-localized with transitional endoplasmic reticulum (tER)-Golgi units. They showed dynamic distribution along astral microtubules and accumulated around the spindle pole, but they were not localized on the cleavage furrow (CF) sites. The depletion of the four COPII coatomer subunits, Sec16, or Sar1 that regulate COPII assembly resulted in multinucleated cell production after meiosis, suggesting that cytokinesis failed in both or either of the meiotic divisions. Although contractile actomyosin and anilloseptin rings were formed once plasma membrane ingression was initiated, they were frequently removed from the plasma membrane during furrowing. We explored the factors conveyed toward the CF sites in the membrane via COPII-mediated vesicles. DE-cadherin-containing vesicles were formed depending on Sar1 and were accumulated in the cleavage sites. Furthermore, COPII depletion inhibited de novo plasma membrane insertion. These findings suggest that COPII vesicles supply the factors essential for the anchoring and/or constriction of the contractile rings at cleavage sites during male meiosis in Drosophila. Full article
(This article belongs to the Special Issue Cell Division: A Focus on Molecular Mechanisms)
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<p>Phase-contrast images of spermatids derived from spermatocytes harboring the silencing of mRNAs for components consisting of COPII coat and regulators for its assembly. (<b>A</b>–<b>G</b>) Phase-contrast images of living spermatids at onion stage. (<b>A</b>) Control (<span class="html-italic">bam&gt;+</span>) spermatids. Each cell contains a single nucleus (white) and a single Nebenkern, which is a mitochondrial aggregate (black) in a 1:1 ratio. The arrowheads indicate multinucleate cells harboring more than two nuclei and single Nebenkerns. The arrows indicate large cells in which two multinucleated cells have fused. (<b>B</b>) Spermatids that developed from <span class="html-italic">Sar1RNAi</span> spermatocytes (<span class="html-italic">bam&gt;Sar1RNAi</span>). They possessed four or more than four nuclei with single Nebenkerns. (<b>C</b>) Spermatids derived from <span class="html-italic">Sec23RNAi</span> spermatocytes (<span class="html-italic">bam&gt;Dcr-2</span>, <span class="html-italic">Sec23RNAi</span>). (<b>D</b>) Multinucleate spermatids derived from <span class="html-italic">Sec24CDRNAi</span> spermatocytes (<span class="html-italic">bam&gt;Dcr-2</span>, <span class="html-italic">Sec24CDRNAi</span>). An arrow indicates a large cell in which two multinucleated cells have fused. (<b>E</b>) Spermatids derived from <span class="html-italic">Sec13RNAi</span> spermatocytes (<span class="html-italic">bam&gt;Dcr-2</span>, <span class="html-italic">Sec13RNAi</span>). (<b>F</b>) Spermatids derived from <span class="html-italic">Sec31RNAi</span> spermatocytes (<span class="html-italic">bam&gt;Sec31RNAi</span>). (<b>G</b>) Spermatids derived from <span class="html-italic">Sec16RNAi</span> spermatocytes (<span class="html-italic">bam&gt;Sec16RNAi</span>). Bar, 10 µm. (<b>H</b>) Frequencies of control spermatids (single nuclei) and multinucleated spermatids (harboring two to more than four nuclei) at onion stage in the testes containing spermatocyte-specific silencing of COPII-related six genes. The bars represent the SEM, n &gt; 107.</p>
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<p>Co-localization and close association of two COPII components in pre-meiotic and meiotic spermatocytes. (<b>A</b>–<b>D</b>) Observation of spermatocytes expressing both RFP-Sec13 and Sec31-GFP before (<b>A</b>) and during meiosis I (<b>B</b>–<b>D</b>). The RFP fluorescence (red in (<b>A</b>–<b>D</b>), white in (<b>A</b>’–<b>D</b>’)). GFP fluorescence (green in (<b>A</b>–<b>D</b>) and (<b>A</b>’’–<b>D</b>’’)). DNA staining with DAPI (blue in (<b>A</b>–<b>D</b>) and (<b>A</b>’’’–<b>D</b>’’’). (<b>A</b>–<b>A</b>’’’) Spermatocyte at interphase. Yellow foci indicate co-localization of Sec13 and Sec31 (arrowheads). (<b>B</b>–<b>B</b>’’’) Spermatocyte at late anaphase. (<b>C</b>–<b>C</b>’’’) Spermatocyte at early telophase. (<b>D</b>–<b>D</b>’’’) Spermatocyte at mid-telophase. Scale bar: 10 µm. (<b>E</b>,<b>F</b>) In situ PLA signals (red in (<b>E</b>,<b>F</b>) and (<b>E</b>’,<b>F</b>’)) of normal spermatocytes expressing RFP-Sec13 (green in (<b>E</b>,<b>F</b>) and in (<b>E</b>”,<b>F</b>”)) to detect close association of Sec23 with Sec13. DNA staining with DAPI (blue in (<b>E</b>–<b>H</b>) and (<b>E</b>’’’–<b>H</b>’’’). (<b>E</b>) In situ PLA of the spermatocytes with both anti-Sec23 and anti-RFP antibodies, with magnified image of area shown in the inset. (<b>F</b>) Negative control for in situ PLA of cells with anti-RFP antibody. Few PLA signals appear in the spermatocytes. Scale bar: 10 μm. (<b>G</b>,<b>H</b>) Anti-Sec16 immunostaining (green in (<b>G</b>,<b>H</b>), white in (<b>G</b>’’,<b>H</b>’’)) of spermatocytes expressing RFP-Sec13 (red in (<b>G</b>,<b>H</b>) and (<b>G</b>’,<b>H</b>’)) in normal control (<b>G</b>) and <span class="html-italic">Sar1RNAi</span> spermatocyte (<b>H</b>) at anaphase I to telophase I. DNA staining with DAPI (blue in (<b>A</b>–<b>D</b>) and (<b>A</b>’’–<b>D</b>’’). Arrowheads indicate accumulation of COPII-containing foci in two cytoplasmic bands running from top to bottom of telophase cell. Bars: 10 μm. (<b>I</b>,<b>J</b>) Number (<b>I</b>) and size (<b>J</b>) of Sec13-positive foci in spermatocytes before meiosis (Interphase) and those undergoing meiosis I (meiosis). Control (<span class="html-italic">bam&gt;RFP-Sec13</span>) (n = 29 cells) and <span class="html-italic">Sar1RNAi</span> (<span class="html-italic">bam&gt;RFP-Sec13</span>, <span class="html-italic">Sar1RNAi</span>) (n = 40 cells). (<b>K</b>) Number of Sec13 foci in spermatocytes at telophase I. Control (<span class="html-italic">bam&gt;RFP-Sec13</span>) (n = 44 cells) and <span class="html-italic">Sar1RNAi</span> cells (<span class="html-italic">bam&gt;RFP-Sec13</span>, <span class="html-italic">Sar1RNAi</span>) (n = 51 cells). Bars represent the SEM. **** <span class="html-italic">p</span> &lt; 0.0001 (Welch’s <span class="html-italic">t</span>-test).</p>
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<p>Time-lapse imaging of plasma membrane ingression during late anaphase I to the end of cytokinesis in male meiosis I. (<b>A</b>,<b>B</b>) Time-lapse observation of the plasma membrane labeled with GFP in meiosis I cells expressing <span class="html-italic">GFP-PLC</span>γ-<span class="html-italic">PH</span>. The observation started from the time when the ingression of the plasma membrane was initiated at the cell equator (t = 0′). (<b>A</b>) control cell (<span class="html-italic">bam&gt;PLC</span>γ-<span class="html-italic">PH-GFP</span>). The membrane ingression terminates at 24 min after the start at CF sites. (<b>B</b>) The <span class="html-italic">Sar1</span>-silenced cells (<span class="html-italic">bam&gt;PLC</span>γ-<span class="html-italic">PH-GFP</span>, <span class="html-italic">Sar1RNAi</span>). The ingression initiated at the cell equator of the silencing cell, terminates at the middle (t = 31′), and returns to its original state (t = 47′). Bar: 10 µm. (<b>C</b>,<b>D</b>) Time-lapse alteration in the distance between the edges of the CFs in control (<span class="html-italic">bam&gt;+</span>) (<b>C</b>) and <span class="html-italic">Sar1</span>-silenced (<span class="html-italic">bam&gt;Sar1RNAi</span>) (<b>D</b>) spermatocytes from late anaphase to the end of meiosis I. The recording was terminated at the point when the furrowing was completed or when no more changes in the cell diameter were observed in a control cell (<span class="html-italic">bam&gt;PLC</span>γ-<span class="html-italic">PH-GFP</span>) or the <span class="html-italic">Sar1</span>-silenced cells (<span class="html-italic">bam&gt;PLC</span>γ-<span class="html-italic">PH-GFP</span>, <span class="html-italic">Sar1RNAi</span>) (n = 5). The length of each cell is represented by a different color.</p>
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<p>Abnormal localization of contractile ring components in <span class="html-italic">Sar1</span>-silenced spermatocytes at later stages of meiosis I. (<b>A</b>–<b>H</b>) Observation of the CRs using fluorescence-tagged CR proteins (Ring) in spermatocytes at late anaphase I to telophase I. (<b>A</b>,<b>E</b>) Immunostaining of the cells expressing GFP-MLC (green in (<b>A</b>,<b>A</b>’’,<b>E</b>,<b>E</b>’’)) with anti-Myosin Heavy Chain (MHC) antibody (red in (<b>A</b>,<b>A</b>’,<b>E</b>,<b>E</b>’)). (<b>B</b>,<b>F</b>) Fluorescence of the cells stained with Rhodamine-conjugated phalloidin to visualize F-actin (red in (<b>B</b>,<b>B</b>’,<b>F</b>,<b>F</b>’)). (<b>C</b>,<b>G</b>) Fluorescence of the cells expressing Septin 1-GFP (green in (<b>C</b>,<b>C</b>’,<b>G</b>,<b>G</b>’)). (<b>D</b>,<b>H</b>) Fluorescence of the cells expressing RFP-Anillin (red in (<b>D</b>,<b>D</b>’,<b>H</b>,<b>H</b>’)). (<b>A</b>–<b>D</b>) Normal control cells (<span class="html-italic">bam&gt;+</span>). (<b>E</b>–<b>H</b>) <span class="html-italic">Sar1</span>-silenced cells (<span class="html-italic">bam&gt;Sar1RNAi</span>). DNA staining with DAPI (blue in (<b>A</b>–<b>H</b>) and (<b>A</b>’’’, <b>B</b>”–<b>D</b>”, <b>E</b>’’’, <b>F</b>”–<b>H</b>”). (<b>I</b>,<b>J</b>) Time-lapse observation of contractile ring (CR) formation in the spermatocytes expressing MLC-GFP at anaphase I to cytokinesis in male meiosis. Control (<b>I</b>) and <span class="html-italic">Sar1</span>-silenced spermatocytes (<b>J</b>) were selected for visualization. In control cells, the MLC was accumulated at presumptive CF sites on the plasma membrane immediately before ingression (t = 0′), and the membrane ingression completed 15 min after the initiation of ingression. (<b>J</b>) In <span class="html-italic">Sar1</span>-silenced cells, the CR is constructed as in control cells (t = 36′). Thereafter, it was removed from the CF site on the lower plasma membrane, and the ingression returned to the initial state (t = 32′). The time-lapse observation was initiated at late anaphase I in both cells when the fluorescence of MLC-GFP became clearer (t = 0′) in both genotypes. (<b>K</b>–<b>N</b>) Time-lapse observation of the Septin1 CR (<b>K</b>,<b>L</b>) and the Anillin ring (<b>M</b>,<b>N</b>) from anaphase I just before the plasma membrane ingression at the cleavage furrow sites (white in Septin1-GFP) (t = 0 min) to the end of cytokinesis. Normal control spermatocyte (<b>K</b>,<b>M</b>) and <span class="html-italic">Sar1RNAi</span> spermatocyte (<b>L</b>,<b>N</b>). (<b>O</b>,<b>P</b>) Frequencies of the spermatocytes harboring an abnormal Anillin ring (<b>O</b>) or Septin1 ring (<b>P</b>) at late telophase I spermatocytes from control (<span class="html-italic">bam&gt;+</span>) and <span class="html-italic">Sar1</span>-silenced (<span class="html-italic">bam&gt;Sar1RNAi</span>) spermatocytes. The bars represent the SEM. Black bars: the telophase I cells harboring normal CRs. Gray bars: the telophase I cells harboring abnormally shaped CRs. Bars, 10 µm.</p>
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<p><span class="html-italic">Sar1</span>-dependent formation and distribution of DE-cad-GFP foci during the later stages of meiosis. (<b>A</b>–<b>D</b>) Observation of DE-cad-containing vesicles in the control (<b>A</b>,<b>B</b>) and <span class="html-italic">Sar1</span>-silenced (<b>C</b>,<b>D</b>) spermatocytes expressing DE-cad-GFP before meiosis (<b>A</b>,<b>C</b>) and at telophase I (<b>B</b>,<b>D</b>). DE-cad (green in (<b>A</b>–<b>D</b>) and (<b>A</b>’–<b>D</b>’)). DNA staining (blue in (<b>A</b>–<b>D</b>) and (<b>A</b>’’–<b>D</b>’’)). (<b>C</b>,<b>D</b>) Overexposed images. (<b>E</b>) Time-lapse observation of GFP fluorescence in living spermatocytes expressing GFP-DE-cad (white in (<b>E</b>)) during the later stages of meiosis I. As meiosis progresses, DE-cad-containing vesicles, indicated by arrowheads (t = 0′), migrated toward another vesicle at the cell equator (t = 24′–27′). (<b>F</b>) Time-lapse observation of DE-cad foci in living <span class="html-italic">Sar1</span>-silenced spermatocyte. According to the phase contrast micrographs of the cells (<b>E</b>’,<b>F</b>’), the cell margins are encircled by dotted lines. Arrows indicate a migration of the same vesicle in the periphery of a right spindle pole toward another vesicle at the cell equator as meiosis progresses. Note that few of the DE-cad vesicles were contained in the <span class="html-italic">Sar1</span>-silenced cell except for a weak and constant signal on the astral and spindle envelopes. (<b>G</b>) Average numbers of DE-cad-GFP foci in control (<span class="html-italic">bam&gt;+</span>, <span class="html-italic">DE-cad-GFP</span>) (n = 58) and <span class="html-italic">Sar1</span>-silenced spermatocytes undergoing meiosis I (<span class="html-italic">bam&gt;Sar1RNAi</span>, <span class="html-italic">DE-cad-GFP</span>) (n = 62). The bars represent the SEM. Significance was tested between control cells and the <span class="html-italic">Sar1</span>-silenced cells in meiosis I. * <span class="html-italic">p</span> &lt; 0.05 (Welch’s <span class="html-italic">t</span>-test).</p>
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<p>A loss of the plasma membrane newly added in the cleavage furrow by wheat germ agglutinin (WGA) in <span class="html-italic">Sar1</span>-silenced spermatocytes at telophase I. (<b>A</b>,<b>B</b>) A visualization of the plasma membrane stained with fluorescence-tagged WGA of the spermatocytes expressing RFP-tagged Anillin. The RFP-Anillin indicates the location of the CR in control (<span class="html-italic">bam&gt;RFP-Anillin</span>) (<b>A</b>) and in <span class="html-italic">Sar1</span>-silenced cells (<span class="html-italic">bam&gt;RFP-Sar1RNAi</span>, <span class="html-italic">RFP-Anillin</span>) (<b>B</b>) At telophase I. Note that the WGA signal is invisible in the cell midzone except for a weaker signal along the plasma membrane in the silenced cells, while the intense signal is mainly localized around the CR in control cells. WGA staining (green in (<b>A</b>,<b>B</b>), white in (<b>A</b>’,<b>B</b>’)), RFP-Anillin (red in (<b>A</b>,<b>A</b>’’,<b>B</b>,<b>B</b>’’)), and DNA (blue in (<b>A</b>,<b>A</b>’’’,<b>B</b>,<b>B</b>’’’)). (<b>C</b>) Frequencies of cells exhibiting no or reduced WGA signals (gray bars) and distinctive signals (black bars) in the midzone among the telophase I cells in control and the <span class="html-italic">Sar1</span>-silenced cells (n = 36 telophase I cells in total in both control and the silenced cells). The bars represent the SEM.</p>
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13 pages, 2297 KiB  
Article
Heart Failure Promotes Cancer Progression in an Integrin β1-Dependent Manner
by Irina Langier Goncalves, Lama Awwad, Sharon Aviram, Talel Izraeli, Laris Achlaug and Ami Aronheim
Int. J. Mol. Sci. 2023, 24(24), 17367; https://doi.org/10.3390/ijms242417367 - 11 Dec 2023
Cited by 3 | Viewed by 1794
Abstract
Heart failure and cancer are currently the deadliest diseases in the Western world, posing the most pressing clinical challenges that remain unmet today. Both conditions share similar risk factors, including age, genetics, lifestyle, chronic inflammation, stress, and more. Furthermore, medications that are being [...] Read more.
Heart failure and cancer are currently the deadliest diseases in the Western world, posing the most pressing clinical challenges that remain unmet today. Both conditions share similar risk factors, including age, genetics, lifestyle, chronic inflammation, stress, and more. Furthermore, medications that are being used to counteract cancer frequently result in cardiotoxicity and the spontaneous emergence of heart failure. Thus, heart failure and cancer display an intimate connection and share similarities. Recent studies show that cardiac remodeling and heart failure promote cancer progression and metastasis. Using three different mouse models for heart failure revealed that the communication between the remodeled heart and the tumor is facilitated through multiple secreted factors. Among these factors, Periostin was consistently found to be elevated in all models and was shown to be required in vitro. Yet, whether Periostin is necessary for tumor promotion in vivo is unknown. Towards this end, we examined tumor promotion in mice lacking Periostin following transverse aortic constriction (TAC). Despite the loss of Periostin, tumor growth was promoted in the TAC-operated mice. This likely occurred due to increased levels of various cytokines and growth factors in Periostin KO mice. Many of these factors are potential ligands of Integrin receptors. Therefore, we next studied the role of Integrin receptors in the tumor-promotion phenotype following heart failure. We generated cancer cells with an Integrin β1 loss of function mutation and examined tumor growth in the presence and absence of heart failure. Integrin β1 KO cancer cells fail to display cardiac-remodeling-dependent tumor-promotion. Interestingly, a previous study showed that renal cell carcinoma cells (Renca) fail to be promoted following a myocardial infarction. Consistently, we show that Renca cells do not respond to secreted factors derived from the failing heart both in vitro and in vivo. Interestingly, Renca cells display low basal mRNA levels of Integrin β1 which may explain the inability of heart failure to promote their growth. The findings may have significant clinical relevance to cardio–oncology patients who suffer from cancers with high levels of Integrin β1. Chemotherapy leading to cardiotoxicity in these patients may generate a vicious cycle with poor prognosis. Full article
(This article belongs to the Special Issue New Trends in Diabetes, Hypertension and Cardiovascular Diseases 2.0)
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Figure 1

Figure 1
<p>TAC-operation promotes LLC cancer cell growth in periostin KO mice. (<b>A</b>) Serum levels of B6 (green) and POSTN<sup>(−/−)</sup> (red) mice (<span class="html-italic">n</span> = 3 per group) were obtained by ELISA for Periostin. (<b>B</b>) Schematic experimental timeline for the Lewis lung carcinoma (LLC) cell model implanted in Periostin KO (POSTN<sup>(−/−)</sup>) male mice. (<b>C</b>) POSTN<sup>(−/−)</sup> mice were subcutaneously implanted into the flanks with LLC cells (0.5 × 106 cells per mouse) (<span class="html-italic">n</span> = 7). Mice were divided into 2 groups: TAC-operated group (red, <span class="html-italic">n</span> = 3), and non-opereted group (black, <span class="html-italic">n</span> = 4). Tumors were monitored over time and tumor volume was calculated using the formula: Width × Length × 0.5. (<b>D</b>) Tumor weight at sacrifice. Each dot represents one mouse. Data are presented as mean ± SE. Two-way repeated measures ANOVA followed by the Bonferroni post-test (<b>C</b>), and Student’s <span class="html-italic">t</span>-test (<b>A</b>,<b>D</b>). * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Tumor-promotion phenotype in the serum derived from POSTN<sup>(−/−)</sup> mice is mediated by multiple secreted factors. The proliferation of (<b>A</b>) polyoma middle T breast cancer cells (PyMT) or (<b>B</b>) Lewis lung carcinoma (LLC) cells under different growth conditions in the presence of the indicated murine serums; <span class="html-italic">n</span> = 4 plates per treatment for each time point. (<b>C</b>) Pooled serum from POSTN<sup>(−/−)</sup> or C57Bl/6 male mice (<span class="html-italic">n</span> = 3 per pool) was used to probe the proteome cytokine array. For each protein, the serum levels are presented as a fold change in the serum derived from POSTN<sup>(−/−)</sup> relative to the control C57Bl/6 serum. (<b>D</b>) Fibronectin (FN) serum levels measured by ELISA (<span class="html-italic">n</span> = 3 per group; C57Bl/6 in green, POSTN<sup>(−/−)</sup> in red). Data are presented as mean ± SE. One-way ANOVA followed by Tukey’s post-test (<b>A</b>,<b>B</b>), and Student’s <span class="html-italic">t</span>-test (<b>D</b>). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p><span class="html-italic">Integrin β1</span> KO PyMT cancer cells abrogate the tumor-promotion phenotype following TAC. (<b>A</b>) Polyoma middle T WT (PyMT WT) and ITGB1 KO (PyMT ITGB1 KO) cells were cultured in the absence of the serum (0%) or the presence of 2% FBS, or 2% C57Bl/6 mice serum for 24, 48, and 72 h. Cell proliferation was measured with the luminescent cell viability assay; <span class="html-italic">n</span> = 4 plates per treatment for each time point. (<b>B</b>) Schematic experimental timeline for PyMT (WT/ITGB1 KO) cells implanted in TAC-operated and control C57Bl/6 female mice (<b>C</b>) PyMT (WT/ITGB1 KO) (0.5 × 106 cells per mouse) cells were orthotopically injected into the back left side mammary fat pad of C57Bl/6 mice (WT PyMT; black, <span class="html-italic">n</span> =3, WT PyMT+TAC; red, <span class="html-italic">n</span> = 5, PyMT ITGB1 KO; green, <span class="html-italic">n</span> = 3, PyMT ITGB1 KO + TAC; blue, <span class="html-italic">n</span> = 5). Tumors were monitored over time and tumor volume was calculated using the following formula: Width × Length × 0.5. (<b>D</b>) Tumor weight at sacrifice. Each dot represents one mouse. Data are presented as mean ± SE. Two-way repeated measures ANOVA followed by the Bonferroni post-test (<b>A</b>,<b>C</b>), and one-way ANOVA followed by Tukey’s post-test (<b>D</b>). ns—not significant, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>TAC-operation fails to promote Renca cancer cells’ tumor growth. (<b>A</b>) Schematic experimental timeline for Renca cell model of BALB/c female mice TAC-operated vs. non-operated control. (<b>B</b>) BALB/c female mice (<span class="html-italic">n</span> = 8) were orthotopically injected into the back left side mammary fat pad with Renca cells (0.5 × 106 cells per mouse). Mice were divided into 2 groups: TAC-operated group (purple, <span class="html-italic">n</span> = 4), and non-operated group (orange, <span class="html-italic">n</span> = 4). Tumors were monitored over time and tumor volume was calculated using the following formula: Width × Length × 0.5. (<b>C</b>) Tumor weight at sacrifice. Each dot represents one mouse. Data are presented as mean ± SE. Two-way repeated measures ANOVA followed by the Bonferroni post-test (<b>B</b>) and Student’s <span class="html-italic">t</span>-test (<b>C</b>). ns—not significant.</p>
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<p>The tumor-promotion phenotype following TAC is Integrin-β1-dependent. (<b>A</b>) The growth of the indicated cancer cell lines was examined 48 h in culture in the absence of serum (0%) or the presence of 2% FBS, or 2% mouse serum derived from non-operated or TAC-operated mice. Cell growth was measured by the luminescent cell viability assay; <span class="html-italic">n</span> = 4 plates per treatment. (<b>B</b>) mRNA was extracted from the indicated cancer cells (<b>A</b>), cDNA was prepared and the mRNA expression level of the <span class="html-italic">Integrin β1</span> was analyzed by qRT-PCR. The GAPDH housekeeping gene was used to normalize mRNA levels (<span class="html-italic">n</span> = 3 repeats per cancer line). (<b>C</b>) mRNA was extracted from tumors (PyMT WT, LLC, PyMT ITGB1 KO, and Renca) of non-operated or TAC-operated mice. cDNA was prepared and the mRNA expression level of the <span class="html-italic">Integrin β1</span> was analyzed by qRT-PCR. βACTIN housekeeping gene was used to normalize mRNA levels. Each dot represents one mouse. Data are presented as mean ± SE. One-way ANOVA followed by Tukey’s post-test (<b>A</b>–<b>C</b>). ns—not significant, * <span class="html-italic">p</span> &lt; 0.05. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Graphical abstract describing the manuscript’s main findings. Cardiac remodeling promotes tumor growth and proliferation via secreted factors (even in the POSTN<sup>(−/−)</sup> mice). Integrin β1 is the key player found at the receiving end of those circulating signals on the cancer cell membrane. Promotion is represented as a green arrow line and suppression is represented as a red inhibition arc.</p>
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