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21 pages, 4908 KiB  
Case Report
PLP1-Targeting Antisense Oligonucleotides Improve FOXG1 Syndrome Mice
by Daniel C. S. Tan, Seonghee Jung, Yuanyuan Deng, Nicolle Morey, Gabriella Chan, Andre Bongers, Yazi D. Ke, Lars M. Ittner and Fabien Delerue
Int. J. Mol. Sci. 2024, 25(19), 10846; https://doi.org/10.3390/ijms251910846 - 9 Oct 2024
Viewed by 419
Abstract
FOXG1 syndrome is a rare neurodevelopmental disorder of the telencephalon, for which there is no cure. Underlying heterozygous pathogenic variants in the Forkhead Box G1 (FOXG1) gene with resulting impaired or loss of FOXG1 function lead to severe neurological impairments. Here, [...] Read more.
FOXG1 syndrome is a rare neurodevelopmental disorder of the telencephalon, for which there is no cure. Underlying heterozygous pathogenic variants in the Forkhead Box G1 (FOXG1) gene with resulting impaired or loss of FOXG1 function lead to severe neurological impairments. Here, we report a patient with a de novo pathogenic single nucleotide deletion c.946del (p.Leu316Cysfs*10) of the FOXG1 gene that causes a premature protein truncation. To study this variant in vivo, we generated and characterized Foxg1 c946del mice that recapitulate hallmarks of the human disorder. Accordingly, heterozygous Foxg1 c946del mice display neurological symptoms with aberrant neuronal networks and increased seizure susceptibility. Gene expression profiling identified increased oligodendrocyte- and myelination-related gene clusters. Specifically, we showed that expression of the c946del mutant and of other pathogenic FOXG1 variants correlated with overexpression of proteolipid protein 1 (Plp1), a gene linked to white matter disorders. Postnatal administration of Plp1-targeting antisense oligonucleotides (ASOs) in Foxg1 c946del mice improved neurological deficits. Our data suggest Plp1 as a new target for therapeutic strategies mitigating disease phenotypes in FOXG1 syndrome patients. Full article
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Figure 1

Figure 1
<p>Genetics and clinical features of the c.946del mutation. (<b>a</b>) Brain T1-weighted magnetic resonance images of the c.946del patient’s brain reveal microcephaly, delayed myelination of the anterior portion of the corpus callosum and pachygyria. (<b>b</b>) Massively parallel sequencing (MPS) of the patient’s Foxg1 gene identified the c.946del mutation in Exon 1. (<b>c</b>) Structure of the human Foxg1 gene and its c.946del variant; forkhead box (FHD), mitochondria localization signal (M), Groucho binding domain (G) and KDM5B DNA methylase-binding domain (KDM5B) with the point mutation (red arrow) resulting in a frameshift (nine amino acids in cyan) leading to a C-terminus truncation which includes the KDM5B domain.</p>
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<p>(<b>a</b>) Generation of c946del mice. Schematic of the genomic modification: a single cytosine deletion at position 922 (murine orthologue of the human c.946) in the Foxg1 gene was induced using CRISPR/Cas9 and confirmed by NGS and Sanger sequencing. (<b>b</b>) Breeding outcome of heterozygous c946del crossings: four breeding (five rounds) produced 18 × WT, 5 × c946del+/Δ (Het) and no c946del Δ/Δ (Hom) live pups. (<b>c</b>) Western blot analysis (brain extracts) of nuclear fractions shows a statistically significant reduction in protein expression in c946del mice compared with WT littermates. ** <span class="html-italic">p</span> &lt; 0.01; Student’s <span class="html-italic">t</span>-test.</p>
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<p>Microcephaly, functional deficits and increased seizure susceptibility in c946del mice. (<b>a</b>) Representative MRI images of wild-type and c946del heterozygous mouse brains. (<b>b</b>) Volumetric measurements of cerebral cortex and corpus callosum revealed a significant (~15%) reduction in c946del mouse brains. * <span class="html-italic">p</span> &lt; 0.05, Student’s <span class="html-italic">t</span>-test; n = 6 WT, n = 6 c946del+/Δ; scale bar 2.5 mm. (<b>c</b>) The 3-month-old c946del+/Δ mice showed a significant reduction in mean latency, falling from the rotarod accompanied with a significant deficit in grip strength (<b>d</b>) in comparison to the WT controls. (<b>e</b>) c946del+/Δ mice showed faster progression to severe seizure stages in comparison to the WT controls. (<b>f</b>) Linear regression slopes showed significantly lower latency in reaching generalised seizure stages, although seizure severity (<b>g</b>) was comparable between WT and c946del+/Δ mice. * <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, ns = not significant; Student’s <span class="html-italic">t</span>-test; Mann–Whitney test; 1-month-old mice (n = 10 WT, n = 9 c946del+/Δ), 3-month-old mice (n = 11 WT, n = 8 c946del+/Δ).</p>
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<p>Spontaneous epileptiform neuronal activity in c946del mice. (<b>a</b>) Representative hippocampal electroencephalogram (EEG) recordings of 30 s segments from 3-month-old wild-type and c946del+/Δ mice. (<b>b</b>) Spike trains recorded over a 24 h period confirmed spontaneous epileptiform neuronal activity in c946del mice but not in WT controls. (<b>c</b>) Spectral power at theta frequencies (4–7 Hz) in WT and c946del+/Δ mice (left). Area Under the Curve (AUC) analysis of theta power (right). (<b>d</b>) Spectral power at alpha frequencies (8–12 Hz) in WT and c946del+/Δ mice (left) and corresponding AUC (right). (<b>e</b>) Spectral power at beta frequencies (12–30 Hz) in WT and c946del+/Δ mice (left) and corresponding AUC (right). (<b>f</b>) Spectral power at gamma frequencies (20–100 Hz) in WT and c946del+/Δ mice (left) and corresponding AUC (right). (<b>g</b>) Raw EEG (LFP = local field potential), bandpass filtered signals for gamma (20–100 Hz) and theta (4–12 Hz) oscillations, gamma amplitude and theta amplitude envelope (red) and theta phases in WT and c946del+/Δ mice. (<b>h</b>) Representative phase–amplitude comodulograms of hippocampal EEG recordings show aberrant coupling across multiple theta frequencies in both sleep and active stages in c946del+/Δ mice compared to WT controls. Lower theta phase–amplitude in c946del+/Δ mice compared to WT controls during sleep (<b>i</b>) and active (<b>k</b>) stages was accompanied with lower modulation indices (<b>j</b>,<b>l</b>). * <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, **** <span class="html-italic">p</span> &lt; 0.0001, ns = not significant; Student’s <span class="html-italic">t</span>-test; n = 6 WT, n = 5 c946del+/Δ.</p>
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<p>Increased PLP1 expression levels in c946del mice. (<b>a</b>) Volcano plot of differentially up-(red) and down-regulated (blue) mRNAs in the primary motor cortex of 3-month-old c946del+/Δ mice (n = 4) compared with WT (n = 4) littermates following RNA sequencing. (<b>b</b>) Protein–protein (STRING) analysis of differentially expressed in c946del+/Δ mice. Genes not linked to clusters are represented individually. Lines indicate protein–protein interactions; circle size correlates with expression level; red = upregulated; blue = downregulated; colour-coded rings relate to Gene Ontology annotations. (<b>c</b>) Quantitative PCR analysis of cortices for selected up-regulated genes in c946del+/Δ (n = 4) relative to WT controls (n = 4). (<b>d</b>) Western blotting for selected proteins in brain lysates revealed a significant increase (<b>e</b>) in PLP1 levels in c946del+/Δ (n = 6) mice compared to WT controls (n = 6). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, ns, not = significant; Student’s <span class="html-italic">t</span>-test; one-way ANOVA followed by Tukey’s post hoc test.</p>
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<p>Increased oligogenesis in c946del mice. (<b>a</b>) Immunostaining on paraffin-embedded sections confirmed an increase in PLP1 expression in the cortex of c946del+/Δ mice compared to WT controls. Scale bar 100 μm. (<b>b</b>) Immunostaining of oligodendrocyte lineage markers O4, Olig2 and CNPase revealed an increase in early oligodendrocyte markers in the cortex of c946del+/Δ mice (n = 4) compared to WT controls. (n = 4). Scale bar 20 μm. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, ns, not = significant; Student’s <span class="html-italic">t</span>-test. (<b>c</b>) PLP1 transcription reporter assay (Luciferase) revealed significantly increased PLP1 transcription by all FOXG1 variants (C214T, C545A, C730T and C946del) but not WT FOXG1. * <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 (n = 3); one-way ANOVA followed by Tukey’s post hoc test.</p>
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<p>PLP1-targeting antisense oligonucleotide (ASO) therapy. (<b>a</b>) Workflow of the PLP1-targeting ASO therapy: intracerebroventricular (I.C.V) injection of newborn (P0) c946del+/Δ and WT mice followed by Western blot analysis and grip-strength test at 3 months of age. (<b>b</b>) Western blot analysis of whole brain extracts of c946del+/Δ mice and WT controls at 3 months of age. (<b>c</b>) Grip-strength test post ASO therapy on c946del+/Δ mice and WT controls at 3 months of age. * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001, ns, not = significant; one-way ANOVA followed by Tukey’s post hoc test; n = 10 +/+ ASO control, n = 13 +/Δ ASO control, n = 10 +/+ ASO PLP1, n = 6 +/Δ ASO PLP1.</p>
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17 pages, 778 KiB  
Article
Influence of Biostimulants and Microbiological Preparations on the Yield and the Occurrence of Diseases and the European Corn Borer (Ostrinia nubilalis Hbn, Lepidoptera, Crambidae) on Sweet Corn (Zea mays L. Var. saccharata)
by Elżbieta Wojciechowicz-Żytko, Edward Kunicki and Jacek Nawrocki
Agriculture 2024, 14(10), 1754; https://doi.org/10.3390/agriculture14101754 - 4 Oct 2024
Viewed by 452
Abstract
The aim of this work was to determine the influence of chosen biostimulants and microbiological preparations on the yield of sweet corn and the occurrence of Ostrinia nubilalis Hbn, and diseases. In both years of the study, the preparations used in this experiment [...] Read more.
The aim of this work was to determine the influence of chosen biostimulants and microbiological preparations on the yield of sweet corn and the occurrence of Ostrinia nubilalis Hbn, and diseases. In both years of the study, the preparations used in this experiment did not have a statistically significant effect on marketable yield; however, in 2017, the highest weight was observed in the cobs of plants treated with Rizocore and Polyversum WP while the lowest in the cobs treated with RhizoVital 42. The biostimulant Asahi SL and the biological fungicide Serenade ASO proved to be the most effective in protecting sweet corn against cob and shoot infections by fungi of the genus Fusarium. All the preparations reduced the development of the common smut in corn, especially on the cobs. There were no statistically significant differences in cob infection by the O. nubilalis in the combinations treated with different preparations, although the lowest number of cobs damaged by pest in both years were observed on plots treated with Serenade ASO and RhizoVital 42, while the highest on plots treated with Goëmar BM. Full article
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Figure 1
<p>Rainfall and air temperature in 2016–2017—Mydlniki.</p>
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<p>Marketable yield (t ha<sup>−1</sup>) of sweet corn depending on preparation in years 2016–2017. * means that for each year marked with the same letter they do not differ significantly at <span class="html-italic">p</span> = 0.05, Tukey’s HSD test. K-Control, AS—Asahi SL, TY—Tytanit, OSI—Optysil, SE—Serenade ASO, RHV—RhizoVital 42, RI—Rizocore, POL—Polyversum.</p>
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<p>Mean number of cobs damaged by <span class="html-italic">O. nubilalis.</span> K—Control, AS—Asahi SL, TY—Tytanit, OSI—Optysil, BM—Goëmar BM 86, SE—Serenade ASO, RHV—RhizoVital 42, RI—Rizocore, POL—Polyversum.</p>
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29 pages, 11100 KiB  
Article
Assessing the Impact of Rainfall Inputs on Short-Term Flood Simulation with Cell2Flood: A Case Study of the Waryong Reservoir Basin
by Hyunjun Kim, Dae-Sik Kim, Won-Ho Nam and Min-Won Jang
Hydrology 2024, 11(10), 162; https://doi.org/10.3390/hydrology11100162 - 2 Oct 2024
Viewed by 516
Abstract
This study explored the impacts of various rainfall input types on short-term runoff simulations using the Cell2Flood model in the Waryong Reservoir Basin, South Korea. Six types of rainfall data were assessed: on-site gauge measurements, spatially interpolated data from 39 Automated Synoptic Observing [...] Read more.
This study explored the impacts of various rainfall input types on short-term runoff simulations using the Cell2Flood model in the Waryong Reservoir Basin, South Korea. Six types of rainfall data were assessed: on-site gauge measurements, spatially interpolated data from 39 Automated Synoptic Observing System (ASOS) and 117 Automatic Weather System (AWS) stations using inverse distance weighting (IDW), and Hybrid Surface Rainfall (HSR) data from the Korea Meteorological Administration. The choice of rainfall input significantly affected model accuracy across the three rainfall events. The point-gauged ASOS (P-ASOS) data demonstrated the highest reliability in capturing the observed rainfall patterns, with Pearson’s r values of up to 0.84, whereas the radar-derived HSR data had the lowest correlations (Pearson’s r below 0.2), highlighting substantial discrepancies. For runoff simulation, the P-ASOS and ASOS-AWS combined interpolated dataset (R-AWS) achieved relatively accurate predictions, with P-ASOS and R-AWS exhibiting Normalized Peak Error (NPE) values of approximately 0.03 and Peak Time Error (PTE) within 20 min. In contrast, the HSR data produced large errors, with NPE up to 4.66 and PTE deviations exceeding 200 min, indicating poor temporal accuracy. Although input-specific calibration improved performance, significant errors persisted because of the inherent uncertainty of rainfall data. These findings underscore the importance of selecting and calibrating appropriate rainfall inputs to enhance the reliability of short-term flood modeling, particularly in ungauged and data-sparse basins. Full article
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Figure 1
<p>Study site located in southern Gyeongsangnam-do, with observation spots with one radar flow level gauge and one AWS.</p>
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<p>Screen interface of Cell2Flood model showing its graphical user interface and auto-calibration module.</p>
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<p>Spatial input data for Cell2Flood, which were converted into an ASCII file with 500 m spatial resolution as the input data for Cell2Flood.</p>
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<p>Geographical distribution of rain gauge (ASOS and AWS) stations around the study site.</p>
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<p>Comparison of accumulated rainfall for each rainfall input by events.</p>
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<p>Change in accumulated rainfall in 1 h intervals of each event by rainfall inputs.</p>
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<p>Comparison of 1 h maximum rainfall intensity for each rainfall input by events.</p>
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<p>Comparison of the spatial distribution of 10-min accumulated rainfall for each rainfall input across different events. Event (<b>I</b>) 2023-06-27 22:30, (<b>II</b>) 2023-08-10 07:10, and (<b>III</b>) 2024-06-29 19:00, respectively, and (<b>a</b>–<b>c</b>) corresponding to R-ASOS, R-AWS, R-RADAR.</p>
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<p>Results of rainfall–runoff simulations for Event I by rainfall inputs.</p>
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<p>Results of rainfall–runoff simulations for Event I by rainfall inputs.</p>
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<p>Results of rainfall–runoff simulations for Event II by rainfall inputs.</p>
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<p>Results of rainfall–runoff simulations for Event II by rainfall inputs.</p>
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<p>Results of rainfall–runoff simulations for Event III by rainfall inputs.</p>
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<p>Results of rainfall–runoff simulations for Event III by rainfall inputs.</p>
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<p>Results of rainfall–runoff simulations with the input-specific calibrated parameters for P-ASOS.</p>
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<p>Results of rainfall–runoff simulations with the input-specific calibrated parameters for P-AWS.</p>
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<p>Results of rainfall–runoff simulations with the input-specific calibrated parameters for R-ASOS.</p>
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<p>Results of rainfall–runoff simulations with the input-specific calibrated parameters for R-AWS.</p>
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<p>Results of rainfall–runoff simulations with the input-specific calibrated parameters for R-RADAR.</p>
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27 pages, 2404 KiB  
Review
Pathogenesis and Surgical Treatment of Congenitally Corrected Transposition of the Great Arteries (ccTGA): Part III
by Marek Zubrzycki, Rene Schramm, Angelika Costard-Jäckle, Michiel Morshuis, Jochen Grohmann, Jan F. Gummert and Maria Zubrzycka
J. Clin. Med. 2024, 13(18), 5461; https://doi.org/10.3390/jcm13185461 - 14 Sep 2024
Viewed by 629
Abstract
Congenitally corrected transposition of the great arteries (ccTGA) is an infrequent and complex congenital malformation, which accounts for approximately 0.5% of all congenital heart defects. This defect is characterized by both atrioventricular and ventriculoarterial discordance, with the right atrium connected to the morphological [...] Read more.
Congenitally corrected transposition of the great arteries (ccTGA) is an infrequent and complex congenital malformation, which accounts for approximately 0.5% of all congenital heart defects. This defect is characterized by both atrioventricular and ventriculoarterial discordance, with the right atrium connected to the morphological left ventricle (LV), ejecting blood into the pulmonary artery, while the left atrium is connected to the morphological right ventricle (RV), ejecting blood into the aorta. Due to this double discordance, the blood flow is physiologically normal. Most patients have coexisting cardiac abnormalities that require further treatment. Untreated natural course is often associated with progressive failure of the systemic right ventricle (RV), tricuspid valve (TV) regurgitation, arrhythmia, and sudden cardiac death, which occurs in approximately 50% of patients below the age of 40. Some patients do not require surgical intervention, but most undergo physiological repair leaving the right ventricle in the systemic position, anatomical surgery which restores the left ventricle as the systemic ventricle, or univentricular palliation. Various types of anatomic repair have been proposed for the correction of double discordance. They combine an atrial switch (Senning or Mustard procedure) with either an arterial switch operation (ASO) as a double-switch operation or, in the cases of relevant left ventricular outflow tract obstruction (LVOTO) and ventricular septal defect (VSD), intra-ventricular rerouting by a Rastelli procedure. More recently implemented procedures, variations of aortic root translocations such as the Nikaidoh or the half-turned truncal switch/en bloc rotation, improve left ventricular outflow tract (LVOT) geometry and supposedly prevent the recurrence of LVOTO. Anatomic repair for congenitally corrected ccTGA has been shown to enable patients to survive into adulthood. Full article
(This article belongs to the Section Cardiology)
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Figure 1
<p>Diagrams of the normal heart (<b>A</b>) and ccTGA (<b>B</b>). In the normal heart, the pulmonary artery arises from the right ventricle, and the aorta arises from the left ventricle (RA with LV, LA with RV). In ccTGA, the right atrium is connected to the morphological LV, which ejects blood into the pulmonary artery, whereas the left atrium is connected to the morphological RV, which ejects blood into the aorta. The ventricles are inverted. RA: right atrium; RV: right ventricle; PA: pulmonary artery; LA: left atrium; LV: left ventricle. This figure was modified and reproduced with permission from Goldmuntz et al. [<a href="#B9-jcm-13-05461" class="html-bibr">9</a>].</p>
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<p>Disposition of cardiac conduction system in ccTGA. Ao indicates the aorta; AV, atrioventricular; cs, coronary sinus; LBB: left bundle branch; LV: left ventricle; PT: pulmonary trunk; RA: right atrium; RBB: right bundle branch; RV: right ventricle; VSD: ventricular septal defect. This figure was taken from the article of Baruteau et al. [<a href="#B19-jcm-13-05461" class="html-bibr">19</a>] distributed under the terms of the Creative Commons Attribution License (CC BY).</p>
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<p>Indications for surgical intervention in ccTGA. CcTGA: congenitally corrected transposition of the great arteries; RV: right ventricle; PA: pulmonary artery. This figure was reproduced with permission from Kumar [<a href="#B29-jcm-13-05461" class="html-bibr">29</a>], under the terms of the Creative Commons Attribution License (CC BY).</p>
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<p>Schematic representation of anatomic repair in the form of a double-switch operation by restoring flow in the normal arrangement. The figure shows the steps involved in the so-called double-switch procedure. Ao: aorta; IVC: inferior vena cava; SVC: superior vena cava; PV: pulmonary veins; PT: pulmonary trunk, mRV: morphologically right ventricle; mLV: morphologically left ventricle.</p>
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<p>Algorithm for anatomical correction of ccTGA. ccTGA: congenitally corrected transposition of the great arteries; LVOTO: left ventricular outflow tract obstruction; VSD: ventricular septal defect. This figure was reproduced with permission from Kumar [<a href="#B29-jcm-13-05461" class="html-bibr">29</a>], under the terms of the Creative Commons Attribution License (CC BY).</p>
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<p>Schematic representation of the Rastelli–Senning operation. The figure shows the final result after an atrial redirection procedure combined with intra-ventricular rerouting of the ventricular septal defect to the aorta, and the placement of a conduit from the morphologically right ventricle to the pulmonary arteries. Ao: aorta; IVC: inferior vena cava; SVC: superior vena cava; PV: pulmonary veins; 1: conduit from morphologically right ventricle to pulmonary arteries; 2: interventricular tunnel from morphologically left ventricle to aorta.</p>
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<p>Schematic representation of the hemi-Mustard–Rastelli–Glenn operation. (<b>A</b>) Diagram of hemi-Mustard/bidirectional Glenn (BDG) operation with the Rastelli–atrial switch procedure in a dextrorotated heart. BDG: bidirectional Glenn shunt; IVC: inferior vena cava; LV: left ventricle; RV: right ventricle. (<b>B</b>) The “Hemi-Mustard” technique. A bidirectional Glenn shunt has been performed and the atrial septum has been excised. A circular patch of Goretex<sup>®</sup> is used to baffle the IVC through to the tricuspid valve. The coronary sinus has been laid open to give extra volume to the pathway. Figure (<b>A</b>) was modified and adapted from Malhorta et al. [<a href="#B88-jcm-13-05461" class="html-bibr">88</a>].</p>
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13 pages, 1031 KiB  
Review
Therapeutic Strategy and Clinical Path of Facioscapulohumeral Muscular Dystrophy: Review of the Current Literature
by Qi Xie, Guangmei Ma and Yafeng Song
Appl. Sci. 2024, 14(18), 8222; https://doi.org/10.3390/app14188222 - 12 Sep 2024
Viewed by 518
Abstract
Facioscapulohumeral muscular dystrophy (FSHD) is an autosomal dominant genetic disease, which is caused by the mistaken expression of double homeobox protein 4 protein 4 (DUX4) in skeletal muscle. Patients with FSHD are usually accompanied by degenerative changes in the face, shoulders, and upper [...] Read more.
Facioscapulohumeral muscular dystrophy (FSHD) is an autosomal dominant genetic disease, which is caused by the mistaken expression of double homeobox protein 4 protein 4 (DUX4) in skeletal muscle. Patients with FSHD are usually accompanied by degenerative changes in the face, shoulders, and upper muscles, gradually accumulating in the lower limb muscles. The severity of patients is quite different, and most patients end up using wheelchairs and losing their self-care ability. At present, the exploration of treatment strategies for FSHD has shifted from relieving symptoms to gene therapy, which brings hope to the future of patients, but the current gene therapy is only in the clinical trial stage. Here, we conducted a comprehensive search of the relevant literature using the keywords FSHD, DUX4, and gene therapy methods including ASOs, CRISPR, and RNAi in the PubMed and Web of Science databases. We discussed the current advancements in treatment strategies for FSHD, as well as ongoing preclinical and clinical trials related to FSHD. Additionally, we evaluated the advantages and limitations of various gene therapy approaches targeting DUX4 aimed at correcting the underlying genetic defect. Full article
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<p>Overview of molecular mechanism of 2 types of FSHD.</p>
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<p>DUX4 plays a role at both physiological and pathological levels. DUX4 plays a physiological role during early embryonic development and is expressed in the thymus and male testes in adulthood. However, aberrant expression of DUX4 in skeletal muscle can trigger a series of pathological responses, such as muscle atrophy, inflammation, apoptosis, and impaired muscle function.</p>
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<p>Summary of therapeutic approaches targeting DUX4 in facioscapulohumeral muscular dystrophy. Targeting DUX4 therapy mainly includes targeting the epigenetics of D4Z4 fragments and directly targeting DUX4mRNA.</p>
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15 pages, 966 KiB  
Review
The Role of RNA Splicing in Liver Function and Disease: A Focus on Metabolic Dysfunction-Associated Steatotic Liver Disease
by Dorota Kaminska
Genes 2024, 15(9), 1181; https://doi.org/10.3390/genes15091181 - 8 Sep 2024
Viewed by 860
Abstract
RNA splicing is an essential post-transcriptional mechanism that facilitates the excision of introns and the connection of exons to produce mature mRNA, which is essential for gene expression and proteomic diversity. In the liver, precise splicing regulation is critical for maintaining metabolic balance, [...] Read more.
RNA splicing is an essential post-transcriptional mechanism that facilitates the excision of introns and the connection of exons to produce mature mRNA, which is essential for gene expression and proteomic diversity. In the liver, precise splicing regulation is critical for maintaining metabolic balance, detoxification, and protein synthesis. This review explores the mechanisms of RNA splicing and the role of splicing factors, particularly in the context of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD). This review also highlights how RNA splicing dysregulation can lead to aberrant splicing and impact the progression of liver diseases such as MASLD, with a particular focus on Metabolic Dysfunction-Associated Steatohepatitis (MASH), which represents the advanced stage of MASLD. Recent advances in the clinical application of antisense oligonucleotides (ASOs) to correct splicing errors offer promising therapeutic strategies for restoring normal liver function. Additionally, the dysregulation of splicing observed in liver diseases may serve as a potential diagnostic marker, offering new opportunities for early identification of individuals more susceptible to disease progression. This review provides insights into the molecular mechanisms that govern splicing regulation in the liver, with a particular emphasis on MASLD, and discusses potential therapeutic approaches targeting RNA splicing to treat MASLD and related metabolic disorders. Full article
(This article belongs to the Section RNA)
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Figure 1
<p>Various forms of alternative splicing. In this diagram, exons are shown as colored boxes, introns are depicted with solid gray lines, and black solid and dashed lines indicate possible splicing variations. Transcription start sites (TSS) are indicated by arrows, and polyadenylation sites are represented by the symbol (A). The figure was created using BioRender (<a href="http://www.biorender.com" target="_blank">www.biorender.com</a>, accessed on 4 September 2024).</p>
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<p>Splicing and spliceosome assembly. Pre-mRNA splicing, facilitated by the spliceosome, involves the stepwise binding and release of snRNPs along with various protein regulators, including SRs (serine-/arginine-rich proteins) and hnRNPs (heterogeneous nuclear ribonucleoproteins). ESE refers to Exonic Splicing Enhancer, while ESS stands for Eonic Splicing Silencer. The figure was created using BioRender (<a href="http://www.biorender.com" target="_blank">www.biorender.com</a>, accessed on 4 September 2024).</p>
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22 pages, 6670 KiB  
Article
Spatiotemporal Changes of Glaciers in the Yigong Zangbo River Basin over the Period of the 1970s to 2023 and Their Driving Factors
by Suo Yuan, Ninglian Wang, Jiawen Chang, Sugang Zhou, Chenlie Shi and Mingjie Zhao
Remote Sens. 2024, 16(17), 3272; https://doi.org/10.3390/rs16173272 - 3 Sep 2024
Viewed by 616
Abstract
The glaciers in southeastern Tibet Plateau (SETP) influenced by oceanic climate are sensitive to global warming, and there remains a notable deficiency in accurate multitemporal change analyses of these glaciers. We conduct glacier inventories in the Yigong Zangbo River Basin (YZRB) in SETP [...] Read more.
The glaciers in southeastern Tibet Plateau (SETP) influenced by oceanic climate are sensitive to global warming, and there remains a notable deficiency in accurate multitemporal change analyses of these glaciers. We conduct glacier inventories in the Yigong Zangbo River Basin (YZRB) in SETP for the years 1988, 2015, and 2023 utilizing Landsat and Sentinel-2 imagery, and analyze the glacier spatiotemporal variation incorporating the existing glacier inventory data. Since the 1970s until 2023, the glaciers significantly retreated at a rate of 0.76 ± 0.11%·a−1, with the area decreasing from 2583.09 ± 88.80 km2 to 1635.89 ± 71.74 km2, and the ice volume reducing from 221.7017 ± 7.9618 km3 to 152.7429 ± 6.1747 km3. The most significant retreat occurred in glaciers smaller than 1 km2. Additionally, glaciers on southern aspects retreated slower than the northern counterparts. The glaciers in the western YZRB witnessed a significantly greater shrinkage rate than those in the eastern section, with the most pronounced changes occurring in Aso Longbu River Basin. Furthermore, severe glacier mass deficits were observed from 2000 to 2019, averaging a loss rate of 0.57 ± 0.06 m w.e. a−1. The continuous rise in air temperature has primarily induced a general widespread glacier change in the YZRB. However, diverse topography led to spatial variability in glacier changes with discrepancies as large as several times. The features of individual glaciers, such as glacier size, debris cover, and the development of ice-contact glacial lakes enhanced the local complexity of glacier change and elusive response behaviors to climate warming led by the different topographic conditions. Full article
(This article belongs to the Special Issue Remote Sensing of the Cryosphere II)
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<p>Distribution of Yigong Zangbo River Basin and glaciers. The YZRB is sustained by the Yigong Zangbo River, a tributary of the Yarlung Tsangpo. The combination of topographic features and meteorological conditions promotes the development of unique temperate valley glaciers, as indicated by the gray region. The basin is undergoing intense glacial recession and recurrent Glacial Lake Outburst Floods (GLOFS), which are significantly affecting the downstream infrastructure and ecological systems.</p>
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<p>Comparative analysis of ICESat-2/ATL06 data alignment with NASA DEM pre- and post-denoising procedures. Panel (<b>a</b>) is the fitting images prior to denoising, whereas panel (<b>b</b>) depicts the post-denoising results. The ordinate represents the ICESat-2/ATL06 data measurements, and the abscissa corresponds to the NASA Digital Elevation Model (DEM) data values.</p>
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<p>Validation images of datasets, comprised by two color-coded point sets: the target dataset in green and the validation dataset in yellow. Each point corresponds to elevations in 2000 (X axes) and 2019 (Y axes). The uniformity observed in two points sets validates the suitability of target dataset.</p>
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<p>Bivariate distribution of glacial areas by size classes and elevation. The graph depicts a bivariate analysis of glacier areas, juxtaposing size classes (ranging from ≤0.1 to ≥50 km<sup>2</sup>) with elevation bands (≤0.40 to ≥6.2 km). Two distinct trajectories, delineated in black and red, illustrate the variance in glacier areas relative to these parameters. The dual Y-axes quantify the area, delineating the variability observed across the spectrum of glacier size classes and elevation ranges.</p>
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<p>Spatial distribution of glacial areas by orientation. This figure employs a logarithmic scale on the Y-axis to represent glacial areas (km<sup>2</sup>) and a categorical X-axis indicating cardinal and intercardinal directions (N, NE, E, SE, S, SW, W, and NW). Each direction features a box plot coupled with superimposed scatter points, delineating the range of data distribution. The upper edge, median, and lower edge of the box plot respectively correspond to the third quartile, median, and first quartile of the glacier area. Whiskers extending from the box plot to the extremities of the dataset indicate the maximum and minimum glacier area values per direction. The arithmetic mean is visually encoded as a distinct transparent square overlaying the box plot.</p>
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<p>Temporal variation in glacial area and number by sizes. The graph sequentially presents from left to right the proportional representation of glacier areas (in km<sup>2</sup>) and numbers (N) across various size classes for the years 1988, 2015, and 2023. Y-axis delineates the glacier area (<b>left</b>) and number (<b>right</b>). Dual columns of stacked bar facilitate the comparative analysis in the proportional distribution of glacier areas (<b>left</b>) and number (<b>right</b>) within specific area classes (“≤0.1 km<sup>2</sup>”, “0.1–0.5 km<sup>2</sup>”, “0.5–1 km<sup>2</sup>”, “1–2 km<sup>2</sup>”, “2–5 km<sup>2</sup>”, “5–10 km<sup>2</sup>”, “10–20 km<sup>2</sup>”, “20–50 km<sup>2</sup>”, and “≥50 km<sup>2</sup>”) over the selected time frame.</p>
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<p>Multidirectional analysis of glacial retreat. The chart is partitioned into eight directional sectors (N, NE, E, SE, S, SW, W, and NW) to exhibit the data. The Y-axis corresponds to the relative reduction in glacial area, depicted by green shades with light green representing the period from 1988 to 2015, and dark green for 2015 to 2023.</p>
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<p>Glacier area and volume variations with error vars across different basins over time. This integrated diagram delineates the temporal changes in glacier area and volume across several basins. The X-axis categorizes the basins as Aso Longbu, Xiuda Qu, Jiagong Nongbu, Nidu Zangbu and Niwu Zangbu. The left Y-axis corresponds to glacier area (in km<sup>2</sup>) aligning with the bar chart, while the right Y-axis corresponds to the scatter plot indicating the ice volume (in km<sup>3</sup>).</p>
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<p>Basinal glacial area classes and mass balance visualization (2000–2019). The primary map employs a chromatic scale to demarcate the average area (km<sup>2</sup>) of each catchment basin. Interspersed throughout are multicolored dots of varying dimensions, symbolizing glaciers across different size classes and their respective mass balances. The accompanying legend the codes for the area range in each sub-basins (km<sup>2</sup>), as well as the area range (km<sup>2</sup>) and mass balances (m w.e. a<sup>−1</sup>) for each glacier. Adjacent histograms stratified by glacier size classes exhibit the diversity in mass balances and the corresponding total numbers. The abscissa signifies the glacier mass balance, while the ordinate enumerates the total number of glaciers associated with each mass balance. The black dashed line indicates the rate of average mass loss. The figures represent, in sequential order, the total count of individual glaciers (first), the aggregate area covered by these glaciers (in km<sup>2</sup>, second), the mean mass change (in m w.e. a<sup>−1</sup>, third), and the elevation change (in m, fourth).</p>
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<p>Climatic variable temporal trends (1960–2023). The first two figure encapsulates the temporal variations and overarching tendencies of mean temperatures during the ablation season and the annual aggregate precipitation from 1960 to 2023. Trends are discerned via linear regression analyses and moving average computations. The solid lines depict the inter-annual fluctuations in mean temperatures and annual precipitation, while the dashed lines represent the linear regression trends, indicating a consistent uptrend in both temperature and precipitation over the observed period. The last two figures represent the trends in precipitation and snowfall in the same time period, where (<b>a</b>) denotes the spring season (March to May) and (<b>b</b>) corresponds to the ablation season (June to September).</p>
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<p>Climatic variable spatial trends (1960–2023) and statistical significance test levels. The upper panel delineates the spatial variation in average melting period temperatures with a color gradient from yellow to red, signifying a pronounced warming trend, with significance levels marked as <span class="html-italic">p</span> &lt; 0.05. The lower panel depicts the interannual variability in precipitation over the same period, using a red to blue gradient to represent a change spectrum, illustrating the heterogeneous precipitation dynamics across the region, with significance levels indicated by dotted grading symbols.</p>
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20 pages, 960 KiB  
Article
Factors Affecting Activeness and Sustainability on Forestry in the Family Forests in Japan—From the Comparison between Aso in Japan and Styria in Austria
by Hirofumi Kuboyama, Nobuyuki Tsuzuki and Seira Eda
Forests 2024, 15(9), 1509; https://doi.org/10.3390/f15091509 - 28 Aug 2024
Viewed by 589
Abstract
Forestry in Japan and Austria share many similarities in their natural and social conditions. However, the Family Forest Owners (FFOs) in Japan seem not to be active and sustainable. To understand the factors affecting activeness and sustainability in family-owned forests in Japan, in [...] Read more.
Forestry in Japan and Austria share many similarities in their natural and social conditions. However, the Family Forest Owners (FFOs) in Japan seem not to be active and sustainable. To understand the factors affecting activeness and sustainability in family-owned forests in Japan, in 2021 and 2022, questionnaire surveys were done with members of Forest Owners’ Cooperatives (FOCs) in Aso, Japan, and Styria, Austria. Survey responses were comparatively analyzed via correlation analysis and binary logistic regression. Timber production was found to be more active in FOC Styria than in FOC Aso. One reason for this was the high-income dependence on forestry in Styria. Higher income was realized by self-harvest and the larger size of forest holdings and forest stands. The younger age of the members in FOC Styria, strongly affected by the pension system, leads to a higher self-harvest ratio. The culture of a sole child inheriting the family forest maintains the general size and scale of owned forests and stands in Styria. High distribution costs in FOC Aso reduced forestry income. As a result, sustainability was reduced in Aso because the availability of successors was low, and elderly forest owners who were once motivated by forestry tended to quit forestry. Full article
(This article belongs to the Section Forest Economics, Policy, and Social Science)
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<p>Excerpted survey questions.</p>
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35 pages, 1420 KiB  
Review
Therapeutic Antisense Oligonucleotides in Oncology: From Bench to Bedside
by Elif Çakan, Olivia D. Lara, Anna Szymanowska, Emine Bayraktar, Arturo Chavez-Reyes, Gabriel Lopez-Berestein, Paola Amero and Cristian Rodriguez-Aguayo
Cancers 2024, 16(17), 2940; https://doi.org/10.3390/cancers16172940 - 23 Aug 2024
Viewed by 1228
Abstract
Advancements in our comprehension of tumor biology and chemoresistance have spurred the development of treatments that precisely target specific molecules within the body. Despite the expanding landscape of therapeutic options, there persists a demand for innovative approaches to address unmet clinical needs. RNA [...] Read more.
Advancements in our comprehension of tumor biology and chemoresistance have spurred the development of treatments that precisely target specific molecules within the body. Despite the expanding landscape of therapeutic options, there persists a demand for innovative approaches to address unmet clinical needs. RNA therapeutics have emerged as a promising frontier in this realm, offering novel avenues for intervention such as RNA interference and the utilization of antisense oligonucleotides (ASOs). ASOs represent a versatile class of therapeutics capable of selectively targeting messenger RNAs (mRNAs) and silencing disease-associated proteins, thereby disrupting pathogenic processes at the molecular level. Recent advancements in chemical modification and carrier molecule design have significantly enhanced the stability, biodistribution, and intracellular uptake of ASOs, thereby bolstering their therapeutic potential. While ASO therapy holds promise across various disease domains, including oncology, coronary angioplasty, neurological disorders, viral, and parasitic diseases, our review manuscript focuses specifically on the application of ASOs in targeted cancer therapies. Through a comprehensive examination of the latest research findings and clinical developments, we delve into the intricacies of ASO-based approaches to cancer treatment, shedding light on their mechanisms of action, therapeutic efficacy, and prospects. Full article
(This article belongs to the Section Cancer Therapy)
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<p>Structure of antisense oligonucleotides (ASOs). R = OH for DNA, R = H for RNA. Created with BioRender.com(accessed on 16 August 2024).</p>
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<p>Examples of chemical modifications of ASOs: sugar modification (substitution of R group with morpholine group (MO), base modification (G-clamp, C5′-methylation of cytosine); inter-nucleotide modification: phosphorothioate group (PS), methyl group, nitrogen; and sugar and inter-nucleotide modification (phosphorodiamidate morpholino oligomer (PMO), thiomorpholine oligomer (TMO)). Created with BioRender.com(accessed on 16 August 2024).</p>
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<p>Mechanisms of ASOs. 1—inhibition of 5′ cap formation, 2—steric blocking of translation, 3—alteration of splicing, 4—activation of RNase H, and 5—inhibition of miRNA. Created with BioRender.com(accessed on 16 August 2024).</p>
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<p>Molecular mechanism of action of BP1001. Created with BioRender.com (accessed on 16 August 2024).</p>
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<p>Molecular mechanisms of action of FDA-approved ASOs: (<b>A</b>) fomivirsen, (<b>B</b>) eteplirsen, and (<b>C</b>) tofersen. Created with BioRender.com(accessed on 16 August 2024).</p>
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<p>Scheme illustrating the structure of tofersen. Created with BioRender.com(accessed on 16 August 2024).</p>
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13 pages, 4002 KiB  
Article
Calcium-Enhanced Medium-Based Delivery of Splice Modulating Antisense Oligonucleotides in 2D and 3D hiPSC-Derived Neuronal Models
by Ronald A. M. Buijsen, Linda M. van der Graaf, Elsa C. Kuijper, Barry A. Pepers, Elena Daoutsali, Lotte Weel, Vered Raz, David A. Parfitt and Willeke M. C. van Roon-Mom
Biomedicines 2024, 12(9), 1933; https://doi.org/10.3390/biomedicines12091933 - 23 Aug 2024
Viewed by 1126
Abstract
Antisense technology demonstrates significant potential for addressing inherited brain diseases, with over a dozen products already available and numerous others in the development pipeline. The versatility of differentiating induced pluripotent stem cells (iPSCs) into nearly all neural cell types proves invaluable for comprehending [...] Read more.
Antisense technology demonstrates significant potential for addressing inherited brain diseases, with over a dozen products already available and numerous others in the development pipeline. The versatility of differentiating induced pluripotent stem cells (iPSCs) into nearly all neural cell types proves invaluable for comprehending the mechanisms behind neurological diseases, replicating cellular phenotypes, and advancing the testing and development of new therapies, including antisense oligonucleotide therapeutics. While delivering antisense oligonucleotides (ASOs) to human iPSC-based neuronal models has posed challenges, this study explores various delivery methods, including lipid-based transfection, gymnotic uptake, Ca(2+)-enhanced medium (CEM)-based delivery, and electroporation, in 2D and 3D hiPSC-derived neuronal models. This study reveals that CEM-based delivery exhibits efficiency and low toxicity in both 2D neuronal cultures and 3D brain organoids. Furthermore, the findings indicate that CEM is slightly more effective in neurons than in astrocytes, suggesting promising avenues for further exploration and optimization of preclinical ASO strategies in the treatment of neurological disorders. Full article
(This article belongs to the Special Issue Applications of 3D Cell Culture in Biomedicines)
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<p>CEM improves survival in 2D hiPSC-derived neuronal cultures. (<b>A</b>) Representative images of iPSC-neurons treated with increasing concentrations of FAM-ASO (green) with CEM, compared to no CEM or Lipofectamine transfection as controls. Untreated hiPSC neurons are shown as negative control. The scale bar represents 25 µm. (<b>B</b>) Quantification of number of nuclei per condition and (<b>C</b>) transfection efficiency represented by the percentage of FAM-positive nuclei using the Cellomics high-content imaging platform. <span class="html-italic">n</span> = 6. (<b>D</b>) Dose–response analysis of hiPSC neurons showing increased splicing with increasing concentration of AON12.1 with the exon-skip percentages indicated at the bottom of each lane. *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>AON delivery using CEM is more efficient in neurons compared to astrocytes in 2D hiPSC-derived neuronal cultures. (<b>A</b>) Representative images of hiPSC neurons stained with the neuronal marker MAP2 and the astrocyte marker GFAP. The scale bar represents 25 µm. (<b>B</b>) Quantification of proportion neurons and astrocytes using Cellomics high-content imaging platform. <span class="html-italic">n</span> = 3. (<b>C</b>) Representative images of iPSC-neurons treated with increasing concentrations of FAM-AON using CEM, compared to no CEM or Lipofectamine as controls. Untreated hiPSC neurons are shown as negative control. The scale bar represents 25 µm. (<b>D</b>) Quantification of transfection efficiency in neurons using Cellomics high-content imaging platform. <span class="html-italic">n</span> = 6. (<b>E</b>) Representative images of hiPSC neurons treated using increasing concentrations of FAM-AON with CEM compared to no CEM or Lipofectamine as controls. Untreated hiPSC neurons are shown as negative control. The scale bar represents 25 µm. (<b>F</b>) Quantification of transfection efficiency in astrocytes using Cellomics high-content imaging platform. <span class="html-italic">n</span> = 6.</p>
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<p>CEM-mediated ASO uptake increases in 15-day 3D brain organoids. (<b>A</b>) Representative images of D15 iPSC-derived cortical organoids treated with increasing concentrations of FAM-ASO. Scale bar 250 µm. (<b>B</b>) Representative maximum intensity projection image of D15 iPSC-derived cortical organoid treated 500 nM FAM-ASO (green), with DIC image showing structure of neural rosettes in organoid. The scale bar represents 50 µm. (<b>C</b>) Representative maximum-intensity projection image of iPSC-derived cortical organoid treated with 500 nM FAM-ASO (green) in nestin-positive (red) neural rosette structure. Scale bar 10 µm.</p>
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<p>Long-term effect in 35-day 3D brain organoids. (<b>A</b>) Analysis of D35 cortical organoids showing splicing using different delivery methods using ASO12.1. (<b>B</b>) Long-term splice effect after ASO12.1 delivery using both NEPA electrode electroporation and CEM delivery. (<b>C</b>) Quantification of B. (<b>D</b>) Analysis of D35 cortical organoids showing splicing using different CEM delivery methods using an ASO targeting the APP gene. No splicing was observed by using NEPA electroporation.</p>
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13 pages, 3955 KiB  
Article
Direct Acrylation of Soybean Oil and the Influence of the Acrylation Degree on Waterborne Acrylic Systems
by Beatriz Perez, Noelia Blanco, Haizea Villaverde, Oihane Echeverria, Olga Gomez de Miranda and Raquel Rodriguez
Polymers 2024, 16(16), 2355; https://doi.org/10.3390/polym16162355 - 20 Aug 2024
Viewed by 467
Abstract
The direct acrylation of soybean oil was investigated by the activation of soybean oil’s (SO’s) internal fatty unsaturation with acidic catalysts. The effect of the catalyst and the reactant ratio with respect to the unsaturation and reaction time on the direct acrylation process [...] Read more.
The direct acrylation of soybean oil was investigated by the activation of soybean oil’s (SO’s) internal fatty unsaturation with acidic catalysts. The effect of the catalyst and the reactant ratio with respect to the unsaturation and reaction time on the direct acrylation process were explored. ASO (acrylated soybean oil) with acrylation degrees (the number of acrylate molecules introduced in a triglyceride molecule) between 1.6 and 2.55 were obtained. The effect of the ASO acrylation degree on copolymerization processes was investigated. The resulting monomers were successfully copolymerized with meth(acrylate) monomers by the miniemulsion polymerization process, favoring the droplet nucleation mechanism and showing conversions higher than 97%. The acrylic–ASO copolymers presented lower Tg and higher hydrophobicity and oleophobicity than the acrylic copolymer. Full article
(This article belongs to the Section Circular and Green Polymer Science)
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<p>Partial acrylation of SO with AA in one-step route.</p>
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<p>Effect of the catalyst/C=C ratio on the acrylation degree of SO.</p>
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<p>Effect of AA/C=C ratio on the acrylation degree of SO.</p>
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<p>Effect of time on the acrylation degree of SO.</p>
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<p>FTIR spectrum of SO (blue) and ASO (red).</p>
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<p>(<b>a</b>): evolution of conversion in batch miniemulsion polymerization with varying ASO biomonomers. (<b>b</b>) Effect of ASO biomonomers on droplet size (dd) and (<b>c</b>) copolymer particle sizes (dp) and their evolution along the polymerization process.</p>
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<p>FTIR spectrum of acrylic (B_0) and ASO-acrylic copolymers (B_ASO5_20, B_ASO8_20 and B_ASO11_20.</p>
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<p>(<b>a</b>) <sup>1</sup>H-NMR spectrum of ASO biomonomers in deuterated chloroform (ASO5 blue, ASO8 red and ASO11 green). (<b>b</b>) ASO–acrylic copolymer <sup>1</sup>H-NMR spectrum in deuterated DMSO (B_0 black, B_ASO5_20 blue, B_ASO8_20 red, and B_ASO11_20 green).</p>
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<p>Thermal transition of ASO-acrylic copolymers and acrylic copolymer.</p>
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<p>(<b>a</b>) Contact angle values WCA (water) and HCA (hexadecane) for (<b>b</b>) water and hexadecane drops at t0 and (<b>c</b>) water and hexadecane drops after 30 min.</p>
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16 pages, 4147 KiB  
Article
BP1003 Decreases STAT3 Expression and Its Pro-Tumorigenic Functions in Solid Tumors and the Tumor Microenvironment
by Maria Gagliardi, Rhonda Kean, Bingbing Dai, Jithesh Jose Augustine, Michael Roberts, Jason Fleming, D. Craig Hooper and Ana Tari Ashizawa
Biomedicines 2024, 12(8), 1901; https://doi.org/10.3390/biomedicines12081901 - 20 Aug 2024
Viewed by 789
Abstract
Overexpression and aberrant activation of signal transducer and activator of transcription 3 (STAT3) contribute to tumorigenesis, drug resistance, and tumor-immune evasion, making it a potential cancer therapeutic target. BP1003 is a neutral liposome incorporated with a nuclease-resistant P-ethoxy antisense oligodeoxynucleotide (ASO) targeting the [...] Read more.
Overexpression and aberrant activation of signal transducer and activator of transcription 3 (STAT3) contribute to tumorigenesis, drug resistance, and tumor-immune evasion, making it a potential cancer therapeutic target. BP1003 is a neutral liposome incorporated with a nuclease-resistant P-ethoxy antisense oligodeoxynucleotide (ASO) targeting the STAT3 mRNA. Its unique design enhances BP1003 stability, cellular uptake, and target affinity. BP1003 efficiently reduces STAT3 expression and enhances the sensitivity of breast cancer cells (HER2+, triple negative) and ovarian cancer cells (late stage, invasive ovarian cancer) to paclitaxel and 5-fluorouracil (5-FU) in both 2D and 3D cell cultures. Similarly, ex vivo and in vivo patient-derived models of pancreatic ductal adenocarcinoma (PDAC) show reduced tissue viability and tumor volume with BP1003 and gemcitabine combination treatments. In addition to directly affecting tumor cells, BP1003 can modulate the tumor microenvironment. Unlike M1 differentiation, monocyte differentiation into anti-inflammatory M2 macrophages is suppressed by BP1003, indicating its potential contribution to immunotherapy. The broad anti-tumor effect of BP1003 in numerous preclinical solid tumor models, such as breast, ovarian, and pancreatic cancer models shown in this work, makes it a promising cancer therapeutic. Full article
(This article belongs to the Section Cancer Biology and Oncology)
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<p>Effect of BP1003 on STAT3 and downstream proteins levels. (<b>A</b>) Representative immunoblots and normalized densitometric levels of STAT3 in BT549, SK-BR-3, and SK-OV-3 cell lines treated with BP1003 or EL. (<b>B</b>) Representative immunoblots and normalized densitometric levels of STAT4 and STAT3 target proteins, Bcl-2 and vimentin, after treatment with BP1003 or EL.</p>
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<p>BP1003 reduced cell viability and colony formation. (<b>A</b>) Alamar blue viability assays were performed on SK-BR-3, SK-OV-3, and BT549 cells treated with BP1003 monotherapy at 200 μg/mL or in combination with 5-FU (5 µM) (<b>A′</b>) or paclitaxel (2–3 nM) (<b>A″</b>). Results were normalized to control EL treatments. The mean of triplicate measurements from a single trial ± SD are shown. (<b>B</b>) Colony formation assays were performed on BT549, and SK-OV-3 cells which were either left untreated (UT) or treated with BP1003 alone, or in combination with paclitaxel for 10 days. The mean of triplicate measurements from a single trial ± SD are shown (* = <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, **** = <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>BP1003 reduces cell migration. Cell migration was investigated using transwell chambers. SK-OV-3, BT549, and SK-BR-3 cells, pre-treated with 200 μg/mL or BP1003 alone or in combination with paclitaxel (2 nM), were given appropriate times to migrate directly across the transwell membrane. After crystal violet staining, the percent area occupied by migrated cells was quantified through 3 sections of each membrane. Images were taken at 10× magnifications (* = <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>Effect of BP1003 and paclitaxel on spheroid formation and growth. 2D pretreatment of (<b>A</b>) BT549 and (<b>B</b>) SK-OV-3 cells with BP1003 (250 µg/mL) for 72 h, +/−paclitaxel treatment 24 h after plating in round bottom wells. The size and growth rate of the spheroids were monitored over 9 days. Images represent spheroids on the 9th day (scale bar of 200 µm) and bar graphs represent the area measured with ImageJ from a minimum of two independent experiments. Error bars represent the mean (<span class="html-italic">n</span> = 6) ± SD. (<b>C</b>) Treatment of pre-formed BT549 and SK-OV-3 spheroids with BP1003 (250 µg/mL) and (<b>D</b>) combination treatment of BT549 spheroids with BP1003 and paclitaxel reduced the fold change (y/x −1) of spheroid area after 10 days. Bar graphs represent the area measured using ImageJ from a minimum of two independent experiments. Error bars represent the mean (<span class="html-italic">n</span> = 6) ± SEM (* = <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, **** = <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>BP1003 and gemcitabine combination promoted PDAC PDX tumor regression. (<b>A</b>) Change in PDAC PDX tumor volume over time. Measurements taken every week, from the beginning of drug treatments to one week after the termination of drug treatments. (<b>B</b>) Histologic images of PDAC PDX tumor samples with STAT3 staining (10× magnification).</p>
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<p>BP1003 reduces M2 monocyte polarization. (<b>A</b>) For in vitro polarization, monocytes were stimulated with LPS and IFNγ for M1 polarization and IL-4 for M2 polarization. (<b>B</b>–<b>D</b>) Representative histograms for expression of surface markers CD206 (M2) and HLA-DR (M1). (<b>B</b>,<b>B′</b>) To assess the effect of BP1003 and EL during polarization monocytes were treated with the indicated dilutions of BP1003 or EL at the same time as polarizing agents for 3 days. (<b>C</b>) BP1003 treatments at 250 µg/mL most efficiently decreased M2 polarization. (<b>D</b>) Neither M1 nor M2 polarized monocytes are affected by BP1003 or EL (500 µg/mL).</p>
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39 pages, 4539 KiB  
Review
Pathogenesis and Surgical Treatment of Dextro-Transposition of the Great Arteries (D-TGA): Part II
by Marek Zubrzycki, Rene Schramm, Angelika Costard-Jäckle, Michiel Morshuis, Jan F. Gummert and Maria Zubrzycka
J. Clin. Med. 2024, 13(16), 4823; https://doi.org/10.3390/jcm13164823 - 15 Aug 2024
Cited by 1 | Viewed by 1365
Abstract
Dextro-transposition of the great arteries (D-TGA) is the second most common cyanotic heart disease, accounting for 5–7% of all congenital heart defects (CHDs). It is characterized by ventriculoarterial (VA) connection discordance, atrioventricular (AV) concordance, and a parallel relationship with D-TGA. As a result, [...] Read more.
Dextro-transposition of the great arteries (D-TGA) is the second most common cyanotic heart disease, accounting for 5–7% of all congenital heart defects (CHDs). It is characterized by ventriculoarterial (VA) connection discordance, atrioventricular (AV) concordance, and a parallel relationship with D-TGA. As a result, the pulmonary and systemic circulations are separated [the morphological right ventricle (RV) is connected to the aorta and the morphological left ventricle (LV) is connected to the pulmonary artery]. This anomaly is included in the group of developmental disorders of embryonic heart conotruncal irregularities, and their pathogenesis is multifactorial. The anomaly’s development is influenced by genetic, epigenetic, and environmental factors. It can occur either as an isolated anomaly, or in association with other cardiac defects. The typical concomitant cardiac anomalies that may occur in patients with D-TGA include ventriculoseptal defects, patent ductus arteriosus, left ventricular outflow tract obstruction (LVOTO), mitral and tricuspid valve abnormalities, and coronary artery variations. Correction of the defect during infancy is the preferred treatment for D-TGA. Balloon atrial septostomy (BAS) is necessary prior to the operation. The recommended surgical correction methods include arterial switch operation (ASO) and atrial switch operation (AtrSR), as well as the Rastelli and Nikaidoh procedures. The most common postoperative complications include coronary artery stenosis, neoaortic root dilation, neoaortic insufficiency and neopulmonic stenosis, right ventricular (RV) outflow tract obstruction (RVOTO), left ventricular (LV) dysfunction, arrhythmias, and heart failure. Early diagnosis and treatment of D-TGA is paramount to the prognosis of the patient. Improved surgical techniques have made it possible for patients with D-TGA to survive into adulthood. Full article
(This article belongs to the Section Cardiovascular Medicine)
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<p>Diagrams of the normal heart (<b>A</b>) and D-TGA (<b>B</b>). In the normal heart, the pulmonary artery arises from the right ventricle, and the aorta arises from the left ventricle. In D-TGA, due to a complete inversion of the great vessels, the aorta incorrectly arises from the right ventricle and the pulmonary artery incorrectly arises from the left ventricle, whereas the ventricles are normally connected. RA: right atrium; RV: right ventricle; PA: pulmonary artery; LA: left atrium; LV: left ventricle; AO: aorta. This figure was modified and reproduced with permission from Goldmuntz et al. [<a href="#B13-jcm-13-04823" class="html-bibr">13</a>].</p>
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<p>Diagram summarizing the anatomy of the developing heart according to de la Cruz’s theory. (<b>A</b>). View of the straight early heart tube. (<b>B</b>). View of the looped heart tube. (<b>C</b>). View of a chamber-forming heart. (<b>D</b>). View of a four-chambered heart, showing the inflow of the left ventricle and the outflow of the right ventricle. LA: left atrium; LV: left ventricle; PT: pulmonary trunk; RA: right atrium; RV: right ventricle. OFT: cardiac outflow tract. This figure was reproduced with permission from van den Berg and Moorman [<a href="#B63-jcm-13-04823" class="html-bibr">63</a>].</p>
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<p>(<b>A</b>). Surgical/interventional Leiden convention. (<b>B</b>). Imaging Leiden convention. Description in the text. A: anterior; Ao: aorta; L: left; LAD: left anterior descending artery; LCA: left coronary artery; LCx: circumflex artery; NF: non-facing sinus; P: posterior; Pu: pulmonary artery; R: right; RCA: right coronary artery. This figure was reproduced with permission from Koppel et al. [<a href="#B150-jcm-13-04823" class="html-bibr">150</a>], under the terms of the Creative Commons Attribution License (CC BY).</p>
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<p>Leiden TGA coronary artery classification. LAD: left anterior descending artery; Cx: circumflex artery; RCA: right coronary artery. The figures are modifications based on the publications by Gittenberger-de Groot et al. [<a href="#B151-jcm-13-04823" class="html-bibr">151</a>] and Quaegebeur [<a href="#B152-jcm-13-04823" class="html-bibr">152</a>].</p>
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<p>Algorithm for physiological and anatomical correction of D-TGA. D-TGA: dextro-transposition of the great arteries; LVOTO: left ventricular outflow tract obstruction; VSD: ventricular septal defect; ASO: arterial switch operation; REV: réparation à l’étage ventriculaire.</p>
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<p>Scheme of arterial switch operation (Jatene procedure). (<b>A</b>). The great arteries are transected at the supra-valvar level and reversed in order to create a “normal” anatomical arrangement. 1. Original aortic root—neopulmonary artery root. 2. Original pulmonary artery root—neoaortic root. (<b>B</b>). Resection of the coronary arteries with the aortic wall margin surrounding the arterial ostium (marked in black). LV: left ventricle; RV: right ventricle; PA: pulmonary artery; Ao: aorta. The figure was modified based on the publication by Hornung et al. [<a href="#B179-jcm-13-04823" class="html-bibr">179</a>].</p>
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<p>The figures illustrate the surgical technique for arterial switch procedures. (<b>A</b>). Replacement of the great arteries with the Lecompte maneuver. (<b>B</b>). The harvesting and reimplantation of coronary buttons with normal coronary artery course. Source: The images are based on the publication by Lacour-Gayet [<a href="#B187-jcm-13-04823" class="html-bibr">187</a>].</p>
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<p>Scheme of the Rastelli operation. 1. The ventricular septal defect is closed with the creation of a left ventricular outflow tract. 2. A right ventricle to pulmonary artery conduit is inserted to bypass the pulmonary stenosis. LV: left ventricle; RV: right ventricle; PA: pulmonary artery; Ao: aorta. This figure was modified based on the publication by Hornung et al. [<a href="#B179-jcm-13-04823" class="html-bibr">179</a>].</p>
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<p>The figures illustrate the Rastelli operation technique. (<b>A</b>). The incisions in the pulmonary artery and right ventriclotomy. (<b>B</b>). Complete resection of the conal septum. (<b>C</b>). Enlargement VSD and the construction of a baffle from the LV to the aorta (ascending). (<b>D</b>). RV-to-pulmonary artery continuity is established with the use of a conduit. LV: left ventricle; RV: right ventricle; VSD: ventricular septal defect. Source: The images are based on the publication by Kreutzer [<a href="#B199-jcm-13-04823" class="html-bibr">199</a>].</p>
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<p>The figures illustrate the réparation à l’étage ventriculaire (REV) operation. (<b>A</b>). Construction of the intracardiac tunnel connecting the VSD with the aorta. (<b>B</b>). Reconstruction of the ascending aorta and closure of the pulmonary orifice. (<b>C</b>). Reconstruction of the pulmonary trunk. RV: right ventricle; VSD: ventricular septal defect. Source: The images are based on the publication by Vouhé and Raisky [<a href="#B202-jcm-13-04823" class="html-bibr">202</a>].</p>
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<p>The figures illustrate the Nikaidoh procedure. (<b>A</b>). Aortic root harvesting from the RV. (<b>B</b>). Closure of the VSD. (<b>C</b>). RVOT reconstruction with direct connection of the RV to the PA. RV: right ventricle; PA: pulmonary artery; VSD: ventricular septal defect; RVOT: right ventricle outflow tract. Source: The images are based on the publication by Morell [<a href="#B211-jcm-13-04823" class="html-bibr">211</a>].</p>
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<p>Scheme of the atrial switch operation (Mustard or Senning). (<b>A</b>). Neo-atrial baffle diverts blood from vena cava to LV and from pulmonary vein to RV. (<b>B</b>). Precise inflow into LV through MV. (<b>C</b>). Precise inflow to RV through TV. IVC: inferior vena cava; SVC: superior vena cava; LV: left ventricle; RV: right ventricle; PA: pulmonary artery; Ao: aorta; LL: left lower pulmonary vein; LU: left upper pulmonary vein; MV: mitral valve; RL: right lower pulmonary vein; RU: right upper pulmonary vein; TV: tricuspid valve. This figure was modified based on the publication by Hornung et al. [<a href="#B179-jcm-13-04823" class="html-bibr">179</a>].</p>
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17 pages, 6314 KiB  
Article
Is Exon Skipping a Viable Therapeutic Approach for Vascular Ehlers–Danlos Syndrome with Mutations in COL3A1 Exon 10 or 15?
by Sasiwimon Utama, Jessica M. Cale, Chalermchai Mitrpant, Sue Fletcher, Steve D. Wilton and May T. Aung-Htut
Int. J. Mol. Sci. 2024, 25(16), 8816; https://doi.org/10.3390/ijms25168816 - 13 Aug 2024
Viewed by 740
Abstract
Vascular Ehlers–Danlos syndrome or Ehlers–Danlos syndrome type IV (vEDS) is a connective tissue disorder characterised by skin hyperextensibility, joint hypermobility and fatal vascular rupture caused by COL3A1 mutations that affect collagen III expression, homo-trimer assembly and secretion. Along with collagens I, II, V [...] Read more.
Vascular Ehlers–Danlos syndrome or Ehlers–Danlos syndrome type IV (vEDS) is a connective tissue disorder characterised by skin hyperextensibility, joint hypermobility and fatal vascular rupture caused by COL3A1 mutations that affect collagen III expression, homo-trimer assembly and secretion. Along with collagens I, II, V and XI, collagen III plays an important role in the extracellular matrix, particularly in the inner organs. To date, only symptomatic treatment for vEDS patients is available. Fibroblasts derived from vEDS patients carrying dominant negative and/or haploinsufficiency mutations in COL3A1 deposit reduced collagen III in the extracellular matrix. This study explored the potential of an antisense oligonucleotide (ASO)-mediated splice modulating strategy to bypass disease-causing COL3A1 mutations reported in the in-frame exons 10 and 15. Antisense oligonucleotides designed to redirect COL3A1 pre-mRNA processing and excise exons 10 or 15 were transfected into dermal fibroblasts derived from vEDS patients and a healthy control subject. Efficient exon 10 or 15 excision from the mature COL3A1 mRNA was achieved and intracellular collagen III expression was increased after treatment with ASOs; however, collagen III deposition into the extracellular matrix was reduced in patient cells. The region encoded by exon 10 includes a glycosylation site, and exon 15 encodes hydroxyproline and hydroxylysine-containing triplet repeats, predicted to be crucial for collagen III assembly. These results emphasize the importance of post-translational modification for collagen III homo-trimer assembly. In conclusion, while efficient skipping of target COL3A1 exons was achieved, the induced collagen III isoforms generated showed defects in extracellular matrix formation. While therapeutic ASO-mediated exon skipping is not indicated for the patients in this study, the observations are restricted to exons 10 and 15 and may not be applicable to other collagen III in-frame exons. Full article
(This article belongs to the Section Molecular Genetics and Genomics)
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Figure 1

Figure 1
<p>Characterisation of skin fibroblasts derived from two vEDS patients carrying the mutations c.766delA and IVS14-2A&gt;G. (<b>a</b>,<b>b</b>) RT-PCR amplification and Sanger sequencing of <span class="html-italic">COL3A1</span> transcripts (exons 9–20) and <span class="html-italic">GAPDH</span> transcript (exon 1–3) from patient fibroblasts. Normal; unaffected healthy control. Neg ctrl; no template control. (<b>c</b>) Western blot analysis of collagen III expression in cell lysate (intracellular) and concentrated supernatant (extracellular). Data from triplicate samples are shown. The bar graph represents densitometric analyses (<span class="html-italic">n</span> = 3, error bars = SD). (<b>d</b>) Immunofluorescence analysis of intracellular and extracellular collagen III in ECM. Red: collagen III. Blue: nuclei.</p>
Full article ">Figure 1 Cont.
<p>Characterisation of skin fibroblasts derived from two vEDS patients carrying the mutations c.766delA and IVS14-2A&gt;G. (<b>a</b>,<b>b</b>) RT-PCR amplification and Sanger sequencing of <span class="html-italic">COL3A1</span> transcripts (exons 9–20) and <span class="html-italic">GAPDH</span> transcript (exon 1–3) from patient fibroblasts. Normal; unaffected healthy control. Neg ctrl; no template control. (<b>c</b>) Western blot analysis of collagen III expression in cell lysate (intracellular) and concentrated supernatant (extracellular). Data from triplicate samples are shown. The bar graph represents densitometric analyses (<span class="html-italic">n</span> = 3, error bars = SD). (<b>d</b>) Immunofluorescence analysis of intracellular and extracellular collagen III in ECM. Red: collagen III. Blue: nuclei.</p>
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<p>Assessment of <span class="html-italic">COL3A1</span> exon 10 skipping and collagen III expression in patient fibroblasts carrying the <span class="html-italic">COL3A1</span> c.766delA mutation. (<b>a</b>) The exon 10 map indicates the ASO target sites and the exon-splicing enhancer and silencer motifs predicted by Splice Aid. Uppercase letters indicate exonic nucleotides and lowercase letters intronic nucleotides. The image is adapted from the original Splice Aid output (<a href="http://www.introni.it/splicing.html" target="_blank">http://www.introni.it/splicing.html</a>, accessed on 19 March 2024). (<b>b</b>) RT-PCR analysis of <span class="html-italic">COL3A1</span> mRNA across exons 1–14. (<b>c</b>) Western blot analysis of intracellular and secreted collagen III protein. Collagen III is detected at top band; ~140 kDa, however, the presence of lower band is likely a non-specific band due to prolonged image exposure. (<b>d</b>) Immunofluorescence staining of collagen III deposition, (confocal images) in patient fibroblast cultures, transfected with the exon-skipping PMO cocktail [COL3A1_H10A(+15+39) and COL3A1_H10D(+12−13)] at 50 µM and 10 µM for four days. The bar graphs show average values from three independent transfections (<span class="html-italic">n</span> = 3, error bar = SD). Red: collagen III. Blue: nuclei.</p>
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<p>Analysis of <span class="html-italic">COL3A1</span> exon 15 skipping, collagen III expression and deposition in IVS14-2A&gt;G patient fibroblasts: (<b>a</b>) The exon 15 map indicates the ASO target sites within exon 15 and the exon-splicing enhancer and silencer motifs predicted by Splice Aid output (<a href="http://www.introni.it/splicing.html" target="_blank">http://www.introni.it/splicing.html</a>, accessed on 19 March 2024). Uppercase letters indicate exonic nucleotides and lowercase letters intronic nucleotides. The image is adapted from the original Splice Aid output (splice aid). (<b>b</b>) RT-PCR analysis of <span class="html-italic">COL3A1</span> mRNA across exons 9–20. (<b>c</b>) Western blot analysis of intracellular and secreted collagen III protein from patient fibroblast cultures transfected with COL3A1_H14A(+20+44) PMO at 50 µM and 2 µM, at day 4. Collagen III is detected at top band; ~140 kDa, however, the presence of lower band is likely a non-specific band due to prolonged image exposure. The statistical analysis was performed on data from three independent transfections (<span class="html-italic">n</span> = 3). (<b>d</b>) Immunofluorescence staining of collagen III deposition (confocal images). Red: collagen III. Blue: nuclei.</p>
Full article ">Figure 3 Cont.
<p>Analysis of <span class="html-italic">COL3A1</span> exon 15 skipping, collagen III expression and deposition in IVS14-2A&gt;G patient fibroblasts: (<b>a</b>) The exon 15 map indicates the ASO target sites within exon 15 and the exon-splicing enhancer and silencer motifs predicted by Splice Aid output (<a href="http://www.introni.it/splicing.html" target="_blank">http://www.introni.it/splicing.html</a>, accessed on 19 March 2024). Uppercase letters indicate exonic nucleotides and lowercase letters intronic nucleotides. The image is adapted from the original Splice Aid output (splice aid). (<b>b</b>) RT-PCR analysis of <span class="html-italic">COL3A1</span> mRNA across exons 9–20. (<b>c</b>) Western blot analysis of intracellular and secreted collagen III protein from patient fibroblast cultures transfected with COL3A1_H14A(+20+44) PMO at 50 µM and 2 µM, at day 4. Collagen III is detected at top band; ~140 kDa, however, the presence of lower band is likely a non-specific band due to prolonged image exposure. The statistical analysis was performed on data from three independent transfections (<span class="html-italic">n</span> = 3). (<b>d</b>) Immunofluorescence staining of collagen III deposition (confocal images). Red: collagen III. Blue: nuclei.</p>
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29 pages, 9906 KiB  
Article
Extreme Convective Gusts in the Contiguous USA
by Nicholas John Cook
Meteorology 2024, 3(3), 281-309; https://doi.org/10.3390/meteorology3030015 - 9 Aug 2024
Viewed by 478
Abstract
Most damage to buildings across the contiguous United States of America (USA) is caused by gusts in convective events associated with thunderstorms. Design rules for structures to resist these events rely on the integrity of meteorological observations and the methods of assessment. These [...] Read more.
Most damage to buildings across the contiguous United States of America (USA) is caused by gusts in convective events associated with thunderstorms. Design rules for structures to resist these events rely on the integrity of meteorological observations and the methods of assessment. These issues were addressed for the US Automated Surface Observation System (ASOS) in six preliminary studies published in 2022 and 2023, allowing this present study to focus on the analysis and reporting of gust events observed between 2000 and 2023 at 642 well-exposed ASOS stations distributed across the contiguous USA. It has been recently recognized that the response of buildings to convective gusts, which are non-stationary transient events, differs in character from the response to the locally stationary atmospheric boundary gusts, requiring gust events to be classified and assessed by type. This study sorts the mixture of all observed gust events exceeding 20 kn, but excluding contributions from hurricanes and tropical storms, into five classes of valid meteorological types and two classes of invalid artefacts. The valid classes are individually fitted to optimal sub-asymptotic models through extreme value analysis. Classes are recombined into a joint mixture model and compared with current design rules. Full article
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Figure 1

Figure 1
<p>The most common layout of the ASOS stations—KEKO: Elko Regional Airport, (40.824044° E, −115.786344° N). From left (west) to right (east): rain sensor, temperature/dewpoint sensor, precipitation identification sensor, DCP, with anemometer pole ~2 m behind, ceilometer, freezing rain sensor and visibility sensor. (Image licensed under Creative Commons SA 3.0.).</p>
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<p>Locations of WMO exposure category 1 and 2 ASOS stations across CONUS. The background color scale indicates the density in stations per 1° square.</p>
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<p>Examples of the observed time series used in the visual classification. (<b>a</b>) Typical thunderstorm; (<b>b</b>) typical cold front. Black linked circles—3 s gust speeds in kn (left scale). Green circles—2 min mean direction (right scale). Red line—temperature anomaly (scaled ± 10° F). Blue line—pressure anomaly (scaled ± 0.05“ Hg). Purple bars—rain intensity (none/light/medium/heavy).</p>
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<p>Examples of optimizing population <span class="html-italic">N</span> for the best tail-equivalent Weibull, plotted on Weibull axes. (<b>a</b>) Typical Class 1 Synoptic; (<b>b</b>) typical Class 5 Thunderstorm. Black circles: <span class="html-italic">N</span> = number of class events. Red triangles: optimal <span class="html-italic">N</span>. Red line: optimal fit.</p>
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<p>Density distributions of optimized Weibull index, <math display="inline"><semantics> <mrow> <mi>w</mi> </mrow> </semantics></math>, for each class—solid curves. The chained curves are introduced later in <a href="#sec3dot5dot1-meteorology-03-00015" class="html-sec">Section 3.5.1</a>.</p>
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<p>Examples of compensation for monthly cover in EVA plotted on Gumbel axes for KLGB, Long Beach, CA. (<b>a</b>) Class 1: Synoptic. (<b>b</b>) Class 5: Thunderstorm. The circle symbols indicating the observations are relevant here. Additional model curves and confidence limits for various EVA variants are explained later.</p>
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<p>Reduction of standard prediction error between station and smoothed values with an increasing polynomial degree, for the following: (<b>a</b>) <span class="html-italic">V</span><sub>50</sub> kn; (<b>b</b>) <span class="html-italic">V</span><sub>700</sub> MPH. The red curve is the 2-point moving average.</p>
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<p>Histograms of standard error between station and smoothed <span class="html-italic">V</span><sub>50</sub> (kn) and <span class="html-italic">V</span><sub>700</sub> (MPH) predicted using each of the XIMIS variants: (<b>a</b>) XIMIS mean <math display="inline"><semantics> <mrow> <mi>w</mi> </mrow> </semantics></math>, <span class="html-italic">V</span><sub>50</sub>; (<b>b</b>) XIMIS station <math display="inline"><semantics> <mrow> <mi>w</mi> </mrow> </semantics></math>, <span class="html-italic">V</span><sub>50</sub>; (<b>c</b>) XIMIS free-fit <math display="inline"><semantics> <mrow> <mi>w</mi> </mrow> </semantics></math>, <span class="html-italic">V</span><sub>50</sub>; (<b>d</b>) XIMIS mean <math display="inline"><semantics> <mrow> <mi>w</mi> </mrow> </semantics></math>, <span class="html-italic">V</span><sub>700</sub>; (<b>e</b>) XIMIS station <math display="inline"><semantics> <mrow> <mi>w</mi> </mrow> </semantics></math>, <span class="html-italic">V</span><sub>700</sub>; (<b>f</b>) XIMIS free-fit <math display="inline"><semantics> <mrow> <mi>w</mi> </mrow> </semantics></math>, <span class="html-italic">V</span><sub>700</sub>.</p>
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<p>Geographical influences. (<b>a</b>) Station elevation (m AMSL); (<b>b</b>) Koeppen-Geiger major climate classes [<a href="#B39-meteorology-03-00015" class="html-bibr">39</a>]; (<b>c</b>) station observation-years.</p>
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<p>Annual rate of invalid class events &gt; 30 kn, compensated for variations in monthly cover: (<b>a</b>) occurring in January; (<b>b</b>) occurring in May. Class occurrence rates by month are provided as PowerPoint animations in the <a href="#app1-meteorology-03-00015" class="html-app">Supplementary Materials</a>.</p>
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<p>Annual rate of valid class events &gt; 30 kn, compensated for variations in monthly cover: (<b>a</b>) Class 0: synoptic; (<b>b</b>) Class 1: Storm-burst; (<b>c</b>) Frontal Classes 3 and 4; (<b>d</b>) Class 5: Thunderstorm. Class occurrence rates by month are provided as PowerPoint animations in the <a href="#app1-meteorology-03-00015" class="html-app">Supplementary Materials</a>.</p>
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<p>Annual average rates of each class from 2006 to 2023, compensated for annual cover in each year: (<b>a</b>) Class 1: Synoptic; (<b>b</b>) Class 2: Storm-burst; (<b>c</b>) Frontal Classes 3 and 4; (<b>d</b>) Class 5: Thunderstorm.</p>
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<p>Probability density of class event wind directions at all stations: (<b>a</b>) Class 1: synoptic-SH and Class 2: Storm-burst; (<b>b</b>) Frontal Classes 3 and 4; and Class 5: Thunderstorm.</p>
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<p>Probability density of class event wind directions by Koeppen-Geiger major climate class: (<b>a</b>) Class 1: Synoptic; (<b>b</b>) Class 2: Storm-burst; (<b>c</b>) Frontal Classes 3 and 4; (<b>d</b>) Class 5: Thunderstorm.</p>
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<p>Optimal Weibull index: (<b>a</b>) effects of station accumulation; (<b>b</b>) dependence on climate.</p>
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<p>Optimal tail-equivalent Weibull index: (<b>a</b>) Class 4: Front-up; (<b>b</b>) Class 5: Thunderstorm.</p>
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<p>Examples of the four EVA variants for Class 5: Thunderstorm, plotted on Gumbel axes: (<b>a</b>) KTOP Topeka, KS; (<b>b</b>) KDFW Dallas Fort Worth, TX.</p>
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<p>Comparison of predicted 50-year MRI gust speed, <span class="html-italic">V</span><sub>50</sub>, for each class at stations in the Kansas City cluster.</p>
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<p>Comparison of predicted 50-year MRI gust speed, <span class="html-italic">V</span><sub>50</sub>, for each class at stations in the Kansas City cluster.</p>
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<p>Comparison of predicted 50-year MRI gust speed, <span class="html-italic">V</span><sub>50</sub>, for each class at stations in the Dallas cluster.</p>
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<p>XIMIS mean <math display="inline"><semantics> <mrow> <mi>w</mi> </mrow> </semantics></math> predictions of 50-year MRI gust, <span class="html-italic">V</span><sub>50</sub>, mapped across CONUS: (<b>a</b>) Class 1 interpolated; (<b>b</b>) Class 1 smoothed; (<b>c</b>) Class 2 interpolated; (<b>d</b>) Class 2 smoothed; (<b>e</b>) Class 3 interpolated; (<b>f</b>) Class 3 smoothed; (<b>g</b>) Class 4 interpolated; (<b>h</b>) Class 4 smoothed; (<b>i</b>) Class 5 interpolated; (<b>j</b>) Class 5 smoothed. The green spot in (<b>a</b>) identifies KCTB, Cut Bank, MT.</p>
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<p>XIMIS mean <math display="inline"><semantics> <mrow> <mi>w</mi> </mrow> </semantics></math> predictions of 50-year MRI gust, <span class="html-italic">V</span><sub>50</sub>, mapped across CONUS: (<b>a</b>) Class 1 interpolated; (<b>b</b>) Class 1 smoothed; (<b>c</b>) Class 2 interpolated; (<b>d</b>) Class 2 smoothed; (<b>e</b>) Class 3 interpolated; (<b>f</b>) Class 3 smoothed; (<b>g</b>) Class 4 interpolated; (<b>h</b>) Class 4 smoothed; (<b>i</b>) Class 5 interpolated; (<b>j</b>) Class 5 smoothed. The green spot in (<b>a</b>) identifies KCTB, Cut Bank, MT.</p>
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<p>Dominant class for the 50-year MRI gust, <span class="html-italic">V</span><sub>50</sub>, at each station.</p>
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<p>Examples of the Gomes and Vickery mixture model for the joint CDF of extremes: (<b>a</b>) KTOP Topeka, KS; (<b>b</b>) KDFW Dallas Fort Worth, TX; (<b>c</b>) KSFO San Francisco, CA; (<b>d</b>) KCQC Clines Corners, NM; (<b>e</b>) KCTB Cut Bank, MT; (<b>f</b>) KRTN Raton, NM.</p>
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<p>Gomes and Vickery mixture model for XIMIS mean <math display="inline"><semantics> <mrow> <mi>w</mi> </mrow> </semantics></math> predictions of 50-year MRI gust, <span class="html-italic">V</span><sub>50</sub>, from all classes, mapped across CONUS: (<b>a</b>) Interpolated; (<b>b</b>) Smoothed. The color scale is the same as <a href="#meteorology-03-00015-f020" class="html-fig">Figure 20</a> for direct comparisons.</p>
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<p>XIMIS mean <math display="inline"><semantics> <mrow> <mi>w</mi> </mrow> </semantics></math> predictions of 700-year MRI gust, <span class="html-italic">V</span><sub>700</sub>, mapped across CONUS in the format of ASCE 7-22, Figure 26.5-1B: (<b>a</b>) Class 1 Synoptic; (<b>b</b>) Class 2 Storm-burst; (<b>c</b>) Class 3 Front-down; (<b>d</b>) Class 4 Front-up; (<b>e</b>) Class 4 Thunderstorm; (<b>f</b>) G&amp;V mixture model for all classes.</p>
Full article ">
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