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12 pages, 2533 KiB  
Article
The Impact of Boron Compounds on the Structure and Ionic Conductivity of LATP Solid Electrolytes
by Fatih Öksüzoğlu, Şule Ateş, Osman Murat Özkendir, Gültekin Çelik, Yasin Ramazan Eker, Hadi Baveghar and Mohamed A. Basyooni-M. Kabatas
Materials 2024, 17(15), 3846; https://doi.org/10.3390/ma17153846 - 3 Aug 2024
Viewed by 605
Abstract
The increasing demand for safe and high-energy-density battery systems has led to intense research into solid electrolytes for rechargeable batteries. One of these solid electrolytes is the NASICON-type Li1+xAlxTi2−x(PO4)3 (LATP) material. In this study, [...] Read more.
The increasing demand for safe and high-energy-density battery systems has led to intense research into solid electrolytes for rechargeable batteries. One of these solid electrolytes is the NASICON-type Li1+xAlxTi2−x(PO4)3 (LATP) material. In this study, different boron compounds (10% B2O3 doped, 10% H3BO3 doped, and 5% B2O3 + 5% H3BO3 doped) were doped at total 10 wt.% into the Ti4+ sites of an LATP solid electrolyte to investigate the structural properties and ionic conductivity of solid electrolytes using the solid-state synthesis method. Characterization of the synthesized samples was conducted using X-ray diffraction (XRD), Raman spectroscopy, scanning electron microscopy (SEM), and electrochemical impedance spectroscopy (EIS). The XRD patterns of the boron-doped LATP (LABTP) samples show that the samples have a rhombohedral phase with space group R3¯c together and low amounts of impurity phases. While all the LABTP samples exhibited similar ionic conductivity values of around 10−4 S cm−1, the LABTP2 sample doped with 10 wt.% H3BO3 demonstrated the highest ionic conductivity. These findings suggest that varying B3+ ion doping strategies in LATP can significantly advance the development of solid electrolytes for all-solid-state lithium-ion batteries. Full article
(This article belongs to the Section Advanced Composites)
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Figure 1

Figure 1
<p>XRD patterns for LATP and LABTP samples.</p>
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<p>LABTP sample crystallite sizes.</p>
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<p>Raman analysis of LABTP samples.</p>
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<p>SEM images of the solid-state electrolytes: (<b>a</b>) LABTP1; (<b>b</b>) LABTP2; (<b>c</b>) LABTP3.</p>
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<p>Nyquist plots of LABTP samples and equivalent circuits.</p>
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19 pages, 3756 KiB  
Article
Spray-Flame Synthesis of NASICON-Type Rhombohedral (α) Li1+xYxZr2−x(PO4)3 [x = 0–0.2] Solid Electrolytes
by Md Yusuf Ali, Tianyu Chen, Hans Orthner and Hartmut Wiggers
Nanomaterials 2024, 14(15), 1278; https://doi.org/10.3390/nano14151278 - 30 Jul 2024
Viewed by 741
Abstract
Since solid electrolytes have a broad electrochemical stability window, are exceptionally electrochemically stable against Li metal, and function as a physical separator to prevent dendrite growth, they are at the forefront of alternate possibilities, further increasing the stability and energy density of Li-ion [...] Read more.
Since solid electrolytes have a broad electrochemical stability window, are exceptionally electrochemically stable against Li metal, and function as a physical separator to prevent dendrite growth, they are at the forefront of alternate possibilities, further increasing the stability and energy density of Li-ion batteries. NASICON-type electrolytes are a promising candidate due to their negligible moisture sensitivity, which results in outstanding stability and a lower probability of Li2CO3 passivity under the ambient atmosphere. However, one of the most promising representatives, Li1+xYxZr2−x(PO4)3 (LYZP), has multiple stable phases with significant variation in their corresponding Li-ion conductivity. In this paper, we have successfully synthesized the highly ionically conductive rhombohedral phase of LYZP via spray-flame synthesis. Two different solvent mixtures (e.g., 2-ethyl hexanoic acid/ethanol, propanol/propanoic acid) were chosen to explore the effect of precursor composition and combustion enthalpy on the phase composition of the nanoparticle. The as-synthesized nanoparticles from spray-flame synthesis consisted of the crystalline tetragonal zirconia (t-ZrO2) phase, while lithium, yttrium, and phosphate were present on the nanoparticles’ surface as amorphous phases. However, a short annealing step (1 h) was sufficient to obtain the NASICON phase. Moreover, we have shown the gradual phase conversion from orthorhombic β phase to rhombohedral α phase as the annealing temperature increased from 700 °C to 1300 °C (complete removal of β phase). In this context, Y3+ doping was also crucial, along with the appropriate solvent mixture and annealing temperature, for obtaining the much-desired rhombohedral α phase. Further, 0.2 at% Y3+ doping was added to the solvent mixture of 2-ethyl hexanoic acid/ethanol, and annealing at 1300 °C for 1 h resulted in a high ionic conductivity of 1.14∙10−5 S cm−1. Full article
(This article belongs to the Topic Electrochemical Energy Storage Materials)
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Figure 1
<p>Phase composition and particle size of as-synthesized (LY<sub>0.2</sub>ZP)<sub>PA50</sub> nanoparticles were determined by XRD (<b>a</b>), TEM (<b>c</b>), and HRTEM (<b>d</b>), respectively. Similarly, for (LA<sub>0.2</sub>ZP)<sub>EA50</sub>, the same was determined by XRD (<b>b</b>), TEM (<b>e</b>), and HRTEM (<b>f</b>), respectively. The yellowish circles highlight the single crystalline structures of as-synthesized samples.</p>
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<p>TGA and DSC of as-synthesized samples are shown in (<b>a</b>,<b>b</b>), respectively. (<b>c</b>,<b>d</b>) describe the CO<sub>2</sub> and H<sub>2</sub>O QMS signal during TGA measurement of (LY<sub>0.2</sub>ZP)<sub>PA50</sub> and (LY<sub>0.2</sub>ZP)<sub>EA50</sub>, respectively.</p>
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<p>(<b>a</b>,<b>c</b>) XRD patterns comparison before and after annealing of (LY<sub>0.2</sub>ZP)<sub>PA50</sub> and (LY<sub>0.2</sub>ZP)<sub>EA50</sub>, respectively, at different temperature conditions for 1 h under O<sub>2</sub>. (<b>b</b>,<b>d</b>) corresponding detailed illustration in the range of 10° to 35° 2θ, α refers to rhombohedral phase Li<sub>1+x</sub>Y<sub>x</sub>Zr<sub>2−x</sub>(PO<sub>4</sub>)<sub>3</sub> and β refers to orthorhombic phase Li<sub>1+x</sub>Y<sub>x</sub>Zr<sub>2−x</sub>(PO<sub>4</sub>)<sub>3</sub>.</p>
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<p>(<b>a</b>) XRD patterns of materials from (LY<sub>0.2</sub>ZP)<sub>EA70</sub> before and after annealing at different temperature conditions for 1 h under O<sub>2</sub>. (<b>b</b>) corresponding detailed illustration in the range of 10° to 35° 2θ. α and β refer to the rhombohedral phase and orthorhombic.</p>
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<p>Fitted data of XRD pattern from (LY<sub>0.2</sub>ZP)<sub>EA70</sub> after annealing at 1300 °C for 1 h under O<sub>2</sub>.</p>
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<p>(<b>a</b>) TGA analysis of particles from (LY<sub>0.2</sub>ZP)<sub>EA50</sub>, (LY<sub>0.1</sub>ZP)<sub>EA50</sub>, and (LZP)<sub>EA50</sub>. (<b>b</b>) corresponding DSC analysis. (<b>c</b>) XRD patterns of materials from (LZP)<sub>EA50</sub> before and after annealing at different conditions. (<b>d</b>) corresponding detailed illustration in the range of 10° to 35° 2θ. (<b>e</b>) XRD patterns of materials from (LY<sub>0.1</sub>ZP)<sub>EA50</sub> before and after annealing at different temperature conditions for 1 h under O<sub>2</sub>. (<b>f</b>) corresponding detailed illustration in the range of 10° to 30° 2θ. α and β refer to the rhombohedral and orthorhombic phases of Li<sub>1+x</sub>Y<sub>x</sub>Zr<sub>2−x</sub>(PO<sub>4</sub>)<sub>3</sub>, respectively.</p>
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<p>Impedance spectra of as-synthesized (LY<sub>0.2</sub>ZP)<sub>EA70</sub> and after annealing at different temperatures. Figure (<b>b</b>) shows an overview of all spectra, (<b>a</b>,<b>c</b>) are enlarged sections of the measurements on samples after annealing at 1300 and 1000 °C, respectively.</p>
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10 pages, 1052 KiB  
Article
Phase IB Study of Oral Selinexor in Combination with Rituximab and Platinum Chemotherapy in Patients with Relapsed/Refractory B-Cell Lymphoma—Final Analysis
by Marie Maerevoet, Olivier Casasnovas, Guillaume Cartron, Franck Morschhauser, Catherine Thieblemont, Kamal Bouabdallah, Pierre Feugier, Vanessa Szablewski, Stephanie Becker and Herve Tilly
Cancers 2024, 16(15), 2672; https://doi.org/10.3390/cancers16152672 - 26 Jul 2024
Viewed by 646
Abstract
Purpose: Selinexor is an oral selective inhibitor of exportine-1 (XPO1) with efficacy as a single agent in heavily pretreated diffuse large B-cell lymphoma (DLBCL). We conducted a study investigating the combination of selinexor with rituximab and platinum-based chemotherapy in B-cell lymphoma. Patients and [...] Read more.
Purpose: Selinexor is an oral selective inhibitor of exportine-1 (XPO1) with efficacy as a single agent in heavily pretreated diffuse large B-cell lymphoma (DLBCL). We conducted a study investigating the combination of selinexor with rituximab and platinum-based chemotherapy in B-cell lymphoma. Patients and methods: We conducted a phase 1b, dose-escalation, and expansion trial, which enrolled patients with relapsed or refractory B-cell non-Hodgkin lymphoma. Patients received oral selinexor according to a 3 + 3 design in combination with rituximab and dexamethasone, high-dose cytarabine, oxaliplatine (DHAOX) or gemcitabine, dexamethasone, and cisplatin (GDP) chemotherapy. Results: A total of 39 patients were enrolled, 27 during the escalation phase and 12 during the expansion phase. Most patients had diffuse large B-cell lymphoma (DLBCL; 77%). Group R-DHAOX was prematurely closed to inclusion due to a recommendation from the French drug agency, independent of this trial. A recommended phase 2 dose (RP2D) of selinexor in association with R-GPD was established at 40 mg on days 1, 8, and 15 of each 21-day cycle. In a population of 18 patients treated at this dose of selinexor, the most frequent grade 3–4 adverse events were hematological. With this regimen, seven obtained a complete metabolic response and five a partial response. The median PFS was 5.8 months. Conclusions: Among the patients with R/R B-cell lymphoma, selinexor at a weekly dose of 40 mg with R-GDP is feasible for outpatients, with a generally acceptable safety profile. Full article
(This article belongs to the Section Cancer Therapy)
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<p>Consort diagram: SELINDA study.</p>
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<p>Outcomes of patients treated at the RP2D of selinexor and R-GDP. (<b>A</b>) Progression-free survival, RP2D cohort. (<b>B</b>) Duration of response, RP2D cohort. (<b>C</b>) Overall survival, RP2D cohort.</p>
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28 pages, 438 KiB  
Review
Novel Targets and Advanced Therapies in Diffuse Large B Cell Lymphomas
by Francesco D’Alò, Silvia Bellesi, Elena Maiolo, Eleonora Alma, Flaminia Bellisario, Rosalia Malafronte, Marcello Viscovo, Fabrizia Campana and Stefan Hohaus
Cancers 2024, 16(12), 2243; https://doi.org/10.3390/cancers16122243 - 17 Jun 2024
Viewed by 1641
Abstract
Since the introduction of rituximab in the late 1990s, significant progress has been made in advancing targeted therapies for B cell lymphomas, improving patients’ chance of being cured and clinicians’ therapeutic armamentarium. A better understanding of disease biology and pathogenic pathways, coupled with [...] Read more.
Since the introduction of rituximab in the late 1990s, significant progress has been made in advancing targeted therapies for B cell lymphomas, improving patients’ chance of being cured and clinicians’ therapeutic armamentarium. A better understanding of disease biology and pathogenic pathways, coupled with refinements in immunophenotypic and molecular diagnostics, have been instrumental in these achievements. While traditional chemotherapy remains fundamental in most cases, concerns surrounding chemorefractoriness and cumulative toxicities, particularly the depletion of the hemopoietic reserve, underscore the imperative for personalized treatment approaches. Integrating targeted agents, notably monoclonal antibodies, alongside chemotherapy has yielded heightened response rates and prolonged survival. A notable paradigm shift is underway with innovative-targeted therapies replacing cytotoxic drugs, challenging conventional salvage strategies like stem cell transplantation. This review examines the landscape of emerging targets for lymphoma cells and explores innovative therapies for diffuse large B cell lymphoma (DLBCL). From Chimeric Antigen Receptor-T cells to more potent monoclonal antibodies, antibody–drug conjugates, bispecific antibodies, checkpoint inhibitors, and small molecules targeting intracellular pathways, each modality offers promising avenues for therapeutic advancement. This review aims to furnish insights into their potential implications for the future of DLBCL treatment strategies. Full article
26 pages, 9175 KiB  
Article
A Novel Approach for Glioblastoma Treatment by Combining Apoptosis Inducers (TMZ, MTX, and Cytarabine) with E.V.A. (Eltanexor, Venetoclax, and A1210477) Inhibiting XPO1, Bcl-2, and Mcl-1
by Kai Zhao, Madita Braun, Leonie Meyer, Katharina Otte, Hartmann Raifer, Frederik Helmprobst, Vincent Möschl, Axel Pagenstecher, Hans Urban, Michael W. Ronellenfitsch, Joachim P. Steinbach, Jelena Pesek, Bernhard Watzer, Wolfgang A. Nockher, R. Verena Taudte, Andreas Neubauer, Christopher Nimsky, Jörg W. Bartsch and Tillmann Rusch
Cells 2024, 13(7), 632; https://doi.org/10.3390/cells13070632 - 4 Apr 2024
Viewed by 1765
Abstract
Adjuvant treatment for Glioblastoma Grade 4 with Temozolomide (TMZ) inevitably fails due to therapeutic resistance, necessitating new approaches. Apoptosis induction in GB cells is inefficient, due to an excess of anti-apoptotic XPO1/Bcl-2-family proteins. We assessed TMZ, Methotrexate (MTX), and Cytarabine (Ara-C) (apoptosis inducers) [...] Read more.
Adjuvant treatment for Glioblastoma Grade 4 with Temozolomide (TMZ) inevitably fails due to therapeutic resistance, necessitating new approaches. Apoptosis induction in GB cells is inefficient, due to an excess of anti-apoptotic XPO1/Bcl-2-family proteins. We assessed TMZ, Methotrexate (MTX), and Cytarabine (Ara-C) (apoptosis inducers) combined with XPO1/Bcl-2/Mcl-1-inhibitors (apoptosis rescue) in GB cell lines and primary GB stem-like cells (GSCs). Using CellTiter-Glo® and Caspase-3 activity assays, we generated dose–response curves and analyzed the gene and protein regulation of anti-apoptotic proteins via PCR and Western blots. Optimal drug combinations were examined for their impact on the cell cycle and apoptosis induction via FACS analysis, paralleled by the assessment of potential toxicity in healthy mouse brain slices. Ara-C and MTX proved to be 150- to 10,000-fold more potent in inducing apoptosis than TMZ. In response to inhibitors Eltanexor (XPO1; E), Venetoclax (Bcl-2; V), and A1210477 (Mcl-1; A), genes encoding for the corresponding proteins were upregulated in a compensatory manner. TMZ, MTX, and Ara-C combined with E, V, and A evidenced highly lethal effects when combined. As no significant cell death induction in mouse brain slices was observed, we conclude that this drug combination is effective in vitro and expected to have low side effects in vivo. Full article
(This article belongs to the Special Issue Cell Death Mechanisms and Therapeutic Opportunities in Glioblastoma)
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<p>Intrinsic pathway of apoptosis exemplified in GB cells. Induced via, i.a., intrinsic stress, DNA damage, hypoxia (direct induction via TMZ, MTX, or Ara-C) [<a href="#B13-cells-13-00632" class="html-bibr">13</a>]. Created with BioRender.com.</p>
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<p>Histogram of the ratio of TMZ to MTX (<b>A</b>) and to Ara-C (<b>B</b>) based on IC<sub>50</sub> values in <a href="#cells-13-00632-t001" class="html-table">Table 1</a>, respectively. All cells are significantly more resistant to TMZ in comparison to MTX and Ara-C. E.g.: MTX:TMZ ≙ approx. 1:10,000 in U87; Ara-C:TMZ ≙ approx. 1:180 in GSCs.</p>
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<p>mRNA expression of Bcl-2 (<b>A</b>), Mcl-1 (<b>B</b>), and XPO1 (<b>C</b>) in GB cell lines U87 and U251 and patient-derived GSCs, quantified by qPCR, with U87 cell expression normalized to 1. Data were acquired from three independent experiments performed in triplicates and are presented as mean ± SD. One-way ANOVA with consecutive post hoc test (Tukey) was used for analysis; *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001, ns: not significant. The association between Bcl-2, Mcl-1, and XPO1 gene expression in GB patients and their prognostic outcomes. The expression status of Bcl-2 (<b>D</b>), Mcl-1 ((<b>E</b>); * <span class="html-italic">p</span> &lt; 0.05), and XPO1 (<b>F</b>) in clinical GB tumor tissue compared to normal brains was analyzed from the TCGA and GTEx databases. The GEPIA 2 database was used to analyze OS and DFS with a median group cutoff for either high (red) or low (blue) gene expression of Bcl-2 (<b>G</b>,<b>J</b>), Mcl-1 (<b>H</b>,<b>K</b>) and XPO1 (<b>I</b>,<b>L</b>) in GB patients.</p>
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<p>Modifications in <span class="html-italic">Bcl-2</span>, <span class="html-italic">Mcl-1</span>, and <span class="html-italic">XPO1</span> gene expression at the transcriptional level after treatment with Venetoclax (<b>A</b>), A1210477 (<b>B</b>), and Eltanexor (<b>C</b>), alone or in combination (<b>D</b>–<b>F</b>) in U87 and U251 cell-lines (12h of treatment) and GSCs (48h of treatment). Data are based on 3 independent experiments, utilizing qPCR for quantification. The heatmaps were generated from mean expression data. * <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; 0.001.</p>
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<p>Modifications in Bcl-2, Mcl-1, and XPO1 protein level after treatment with Venetoclax (10 µM), A1210477 (10 µM), and Eltanexor (100 nM) in U87 (<b>A</b>) and U251 (<b>B</b>) cells, as well as GSCs (<b>C</b>). Western blot analyses depict the protein induction post-treatment with indicated drugs. Quantitative assessments of blots were obtained from three to four independent experiments relative to the control group. Data are presented as mean ± SD. One-way ANOVA with consecutive post hoc test (Tukey) was performed for statistical evaluation. * <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, ns: not significant.</p>
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<p>Cell viability of combinatorial treatment with TMZ, MTX, and Ara-C and E., V., and A., assessed via CellTiter-Glo 3D. The left panel represents the quantification of cell viability for U87 cells (<b>A</b>–<b>D</b>); (TMZ 750 µM, MTX 55 nM, Ara-C 8.5 µM). The middle panel (<b>E</b>–<b>H</b>) represents the quantification of cell viability for U251 cells (TMZ 100 µM, MTX 30 nM, Ara-C 2.5 µM). Both cell lines have been treated with drugs for 3 or 5 days, and the concentration of E., V., and A. were the same (V. 10 µM, A. 10 µM, E. 100 nM). The right panel (<b>I</b>–<b>L</b>) represents the quantification of cell viability for GSCs after 10 days of treatment (TMZ 20 µM, MTX 55 nM, Ara-C 500 nM., V. 1 µM, A. 1 µM, E. 10 nM,). Histograms are shown in relation to DMSO-control. (<b>A</b>,<b>E</b>,<b>I</b>) <b><span style="color:red">Red</span></b>: comparison to control; <b><span style="color:#ED7D31">Orange</span></b>: comparison to V.; <b><span style="color:#0070C0">Blue</span></b>: comparison to A.; <b><span style="color:#00B050">Green</span></b>: comparison to E.; <b><span style="color:fuchsia">Purple</span></b>: comparison to V.+A. (<b>B</b>–<b>D</b>,<b>F</b>–<b>H</b>,<b>J</b>–<b>L</b>) <b><span style="color:red">Red</span></b>: comparison to chemo-drug; <b><span style="color:#ED7D31">Orange</span></b>: comparison to chemo-drug+V.; <b><span style="color:#0070C0">Blue</span></b>: comparison to chemo-drug+A.; <b><span style="color:#00B050">Green</span></b>: comparison to chemo-drug+E.; <b><span style="color:fuchsia">Purple</span></b>: comparison to chemo-drug+V.+A. Results were obtained from three independent experiments performed in triplicates, and data are presented as mean ± SD. One-way ANOVA with consecutive post hoc test (Tukey) was used to analyze; * <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; 0.001, ns: not significant.</p>
Full article ">Figure 6 Cont.
<p>Cell viability of combinatorial treatment with TMZ, MTX, and Ara-C and E., V., and A., assessed via CellTiter-Glo 3D. The left panel represents the quantification of cell viability for U87 cells (<b>A</b>–<b>D</b>); (TMZ 750 µM, MTX 55 nM, Ara-C 8.5 µM). The middle panel (<b>E</b>–<b>H</b>) represents the quantification of cell viability for U251 cells (TMZ 100 µM, MTX 30 nM, Ara-C 2.5 µM). Both cell lines have been treated with drugs for 3 or 5 days, and the concentration of E., V., and A. were the same (V. 10 µM, A. 10 µM, E. 100 nM). The right panel (<b>I</b>–<b>L</b>) represents the quantification of cell viability for GSCs after 10 days of treatment (TMZ 20 µM, MTX 55 nM, Ara-C 500 nM., V. 1 µM, A. 1 µM, E. 10 nM,). Histograms are shown in relation to DMSO-control. (<b>A</b>,<b>E</b>,<b>I</b>) <b><span style="color:red">Red</span></b>: comparison to control; <b><span style="color:#ED7D31">Orange</span></b>: comparison to V.; <b><span style="color:#0070C0">Blue</span></b>: comparison to A.; <b><span style="color:#00B050">Green</span></b>: comparison to E.; <b><span style="color:fuchsia">Purple</span></b>: comparison to V.+A. (<b>B</b>–<b>D</b>,<b>F</b>–<b>H</b>,<b>J</b>–<b>L</b>) <b><span style="color:red">Red</span></b>: comparison to chemo-drug; <b><span style="color:#ED7D31">Orange</span></b>: comparison to chemo-drug+V.; <b><span style="color:#0070C0">Blue</span></b>: comparison to chemo-drug+A.; <b><span style="color:#00B050">Green</span></b>: comparison to chemo-drug+E.; <b><span style="color:fuchsia">Purple</span></b>: comparison to chemo-drug+V.+A. Results were obtained from three independent experiments performed in triplicates, and data are presented as mean ± SD. One-way ANOVA with consecutive post hoc test (Tukey) was used to analyze; * <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; 0.001, ns: not significant.</p>
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<p>Chemo drugs (TMZ, MTX, and Ara-C) combined with E., V., and A. induced apoptosis in U87 and U251 GB cell lines, as well as GSCs, evaluated via Caspase GLO assays for Caspase 3/7 activity. Treatments were applied for 24 h in U87 (<b>A</b>–<b>D</b>) and U251 cells (<b>E</b>–<b>H</b>), and 48h in GSCs (<b>I</b>–<b>L</b>), consistent with <a href="#cells-13-00632-f006" class="html-fig">Figure 6</a>. (<b>A</b>,<b>E</b>,<b>I</b>) <b><span style="color:red">Red</span></b>: comparison to control; <b><span style="color:#ED7D31">Orange</span></b>: comparison to V.; <b><span style="color:#0070C0">Blue</span></b>: comparison to A.; <b><span style="color:#00B050">Green</span></b>: comparison to E.; <b><span style="color:fuchsia">Purple</span></b>: comparison to V.+A. (<b>B</b>–<b>D</b>,<b>F</b>–<b>H</b>,<b>J</b>–<b>L</b>) <b><span style="color:red">Red</span></b>: comparison to chemo-drug; <b><span style="color:#ED7D31">Orange</span></b>: comparison to chemo-drug+V.; <b><span style="color:#0070C0">Blue</span></b>: comparison to chemo-drug+A.; <b><span style="color:#00B050">Green</span></b>: comparison to chemo-drug+E.; <b><span style="color:fuchsia">Purple</span></b>: comparison to chemo-drug+V.+A. Results were obtained from three independent experiments, data are presented as mean ± SD. One-way ANOVA with consecutive post hoc test (Tukey) was used to analyze; * <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; 0.001, ns: not significant.</p>
Full article ">Figure 7 Cont.
<p>Chemo drugs (TMZ, MTX, and Ara-C) combined with E., V., and A. induced apoptosis in U87 and U251 GB cell lines, as well as GSCs, evaluated via Caspase GLO assays for Caspase 3/7 activity. Treatments were applied for 24 h in U87 (<b>A</b>–<b>D</b>) and U251 cells (<b>E</b>–<b>H</b>), and 48h in GSCs (<b>I</b>–<b>L</b>), consistent with <a href="#cells-13-00632-f006" class="html-fig">Figure 6</a>. (<b>A</b>,<b>E</b>,<b>I</b>) <b><span style="color:red">Red</span></b>: comparison to control; <b><span style="color:#ED7D31">Orange</span></b>: comparison to V.; <b><span style="color:#0070C0">Blue</span></b>: comparison to A.; <b><span style="color:#00B050">Green</span></b>: comparison to E.; <b><span style="color:fuchsia">Purple</span></b>: comparison to V.+A. (<b>B</b>–<b>D</b>,<b>F</b>–<b>H</b>,<b>J</b>–<b>L</b>) <b><span style="color:red">Red</span></b>: comparison to chemo-drug; <b><span style="color:#ED7D31">Orange</span></b>: comparison to chemo-drug+V.; <b><span style="color:#0070C0">Blue</span></b>: comparison to chemo-drug+A.; <b><span style="color:#00B050">Green</span></b>: comparison to chemo-drug+E.; <b><span style="color:fuchsia">Purple</span></b>: comparison to chemo-drug+V.+A. Results were obtained from three independent experiments, data are presented as mean ± SD. One-way ANOVA with consecutive post hoc test (Tukey) was used to analyze; * <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; 0.001, ns: not significant.</p>
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<p>Cell cycle analysis was conducted using flow cytometry after propidium iodide staining, with cells treated as described in <a href="#cells-13-00632-f006" class="html-fig">Figure 6</a> for 24 h. Pie charts depict the distribution across cell cycle phases (G1, S, G2) in U87 (<b>A</b>) and U251 (<b>B</b>) cells. Data shown are based on one representative experiment of three independent replications.</p>
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<p>Apoptosis in U87 (<b>A</b>) and U251 (<b>B</b>) cells was assessed post-treatment with Venetoclax, A1210477 (individually as well as combined), and chemotherapeutic drugs TMZ, MTX, and Ara-C combined with E.+V.+A., using the same concentrations as in <a href="#cells-13-00632-f006" class="html-fig">Figure 6</a> for 24 h, via FACS analysis of Annexin V stainings. Quantitative analysis of Annexin V staining from three independent experiments post-treatment in U87 (<b>C</b>) and U251 (<b>D</b>) cells is presented as mean ± SEM. One-way ANOVA with consecutive post hoc test (Tukey) was used to analyze the data; * <span class="html-italic">p</span> &lt; 0.05; ns: not significant.</p>
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<p>(<b>A</b>) Apoptosis and dead cell staining of brain slice culture with propidium iodide (dead cells; red), and Caspase 3 (apoptotic cells; green) post-treatment with either TMZ, MTX, and Ara-C and in combination with E.+V.+A. Staining with Hoechst indicates cell nuclei (blue). The left panel consists of merged images from Hoechst-, PI-, and Caspase 3 staining. Staurosporine was used as positive control for induction of apoptosis. (<b>B</b>) Quantification of morphological image data from <a href="#cells-13-00632-f010" class="html-fig">Figure 10</a>A. Dotted red line indicates the threshold of the control group. Staurosporine was used for positive control. Numbers of PI+ cells/mm<sup>2</sup> are shown in logarithmic scale. One cerebellar slice per treatment was analyzed.</p>
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<p>(<b>A</b>) Apoptosis and dead cell staining of brain slice culture with propidium iodide (dead cells; red), and Caspase 3 (apoptotic cells; green) post-treatment with either TMZ, MTX, and Ara-C and in combination with E.+V.+A. Staining with Hoechst indicates cell nuclei (blue). The left panel consists of merged images from Hoechst-, PI-, and Caspase 3 staining. Staurosporine was used as positive control for induction of apoptosis. (<b>B</b>) Quantification of morphological image data from <a href="#cells-13-00632-f010" class="html-fig">Figure 10</a>A. Dotted red line indicates the threshold of the control group. Staurosporine was used for positive control. Numbers of PI+ cells/mm<sup>2</sup> are shown in logarithmic scale. One cerebellar slice per treatment was analyzed.</p>
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16 pages, 3790 KiB  
Technical Note
Assessment of the Improvement in Observation Precision of GNSS, SLR, VLBI, and DORIS Inputs from ITRF2014 to ITRF2020 Using TRF Stacking Methods
by Jin Zhang, Chengli Huang, Lizhen Lian and Simeng Zhang
Remote Sens. 2024, 16(7), 1240; https://doi.org/10.3390/rs16071240 - 31 Mar 2024
Viewed by 877
Abstract
International terrestrial reference frame (ITRF) input data, generated by Global Navigation Satellite Systems (GNSS), Satellite Laser Ranging (SLR), Very Long Baseline Interferometry (VLBI), and Doppler Orbitography and Radiopositioning integrated by satellite (DORIS) combination centers (CCs), are considered to be relatively high-quality and accurate [...] Read more.
International terrestrial reference frame (ITRF) input data, generated by Global Navigation Satellite Systems (GNSS), Satellite Laser Ranging (SLR), Very Long Baseline Interferometry (VLBI), and Doppler Orbitography and Radiopositioning integrated by satellite (DORIS) combination centers (CCs), are considered to be relatively high-quality and accurate solutions. Every few years, these input data are submitted to the three ITRS combination centers, namely Institut Géographique National (IGN), Deutsches Geodätisches Forschungsinstitut at the Technische Universität München (DGFI-TUM), and Jet Propulsion Laboratory (JPL), to establish a multi-technique combined terrestrial reference frame (TRF). Generally, these solutions have undergone three rounds of outlier removal: the first at the technique analysis centers during solution generations and the second during the technique-specific combination by the CCs; ITRS CCs then perform a third round of outlier removal and preprocessing during the multi-technique combination of TRFs. However, since the primary objective of CCs is to release the final TRF product, they do not emphasize the publication of analytical preprocessing results, such as the outlier rejection rate. In this paper, our specific focus is on assessing the precision improvement of ITRF input data from 2014 to 2020, which includes evaluating the accuracy of coordinates, the datum accuracy, and the precision of the polar motions, for all four techniques. To achieve the above-mentioned objectives, we independently propose a TRF stacking approach to establish single technical reference frameworks, using software developed by us that is different from the ITRF generation. As a result, roughly 0.5% or less of the SLR observations are identified as outliers, while the ratio of DORIS, GNSS, and VLBI observations are below 1%, around 2%, and ranging from 1% to 1.2%, respectively. It is shown that the consistency between the SLR scale and ITRF has improved, increasing from around −5 mm in ITRF2014 datasets to approximately −1 mm in ITRF2020 datasets. The scale velocity derived from fitting the VLBI scale parameter series with all epochs in ITRF2020 datasets differs by approximately 0.21 mm/year from the velocity obtained by fitting the data up to 2013.75 because of the scale drift of VLBI around 2013. The decreasing standard deviations of the polar motion parameter (XPO, YPO) offsets between Stacking TRFs and 14C04 (20C04) indicate an improvement in the precision of polar motion observations for all four techniques. From the perspective of the weighted root mean square (WRMS) in station coordinates, since the inception of the technique, the station coordinate WRMS of DORIS decreased from 30 mm to 5 mm for X and Y components, and 25 mm to 5 mm for the Z component; SLR WRMS decreased from 20 mm to better than 10 mm (X, Y and Z); GNSS WRMS decreased from 4 mm to 1.5 mm (X and Y) and 5 mm to 2 mm (Z); while VLBI showed no significant change. Full article
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<p>Station and core station distributions of Space Geodesy input data. “Common” and “Common Core” refers to stations and core stations used in both 2014 and 2020. “2020”, “2014”, “2020 Core” and “2014 Core” means stations and core stations used only in 2014 or 2020. The numbers of stations are given in parentheses. Subfigures (<b>a</b>), (<b>b</b>), (<b>c</b>) and (<b>d</b>) are station distribution maps of GNSS, SLR, VLBI and DORIS respectively.</p>
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<p>Translation and scale parameter series between the observations and the Stacking Space Geodesy TRFs under two types of constraints: internal (inner) constraints and minimum constraints. The linear fit lines along with their slopes for the results of minimum constraints are also illustrated.</p>
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<p>Translation and scale parameter series between the observations and the Stacking Space Geodesy TRFs under two types of constraints: internal (inner) constraints and minimum constraints. The linear fit lines along with their slopes for the results of minimum constraints are also illustrated.</p>
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<p>WRMS of posterior station coordinate residuals between observations and stacked Space Geodesy TRFs. To better identify variations in station accuracy, quadratic polynomial fits were applied to the WRMS series for GNSS (yellow line), SLR (red line), and DORIS (purple line).</p>
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<p>Residuals of XPO and YPO from Stacking Space Geodesy TRFs compared to IERS14C04, IERS20C04 (red) and ITRF2014 EOP, ITRF2020 EOP (blue). The mean and standard deviation (std) statistics for the residual sequences are presented below the respective graphs.</p>
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9 pages, 772 KiB  
Communication
Efficacy of Selinexor in Relapsed/Refractory Multiple Myeloma (RRMM) Patients with del17p and Other High-Risk Abnormalities (A Retrospective Single-Center Study)
by Hamid Ehsan, Myra Robinson, Peter M. Voorhees, Kristen Cassetta, Shanice Borden, Shebli Atrash, Manisha Bhutani, Cindy Varga, Mauricio Pineda-Roman, Reed Friend and Barry A. Paul
Life 2024, 14(3), 384; https://doi.org/10.3390/life14030384 - 14 Mar 2024
Viewed by 1501
Abstract
Selinexor (Seli) is a first-in-class, oral selective inhibitor of the nuclear export protein, exportin-1 (XPO1). Seli exhibits its antitumor effect through the blockage of XPO1, which increases nuclear retention of tumor suppressor proteins (TSPs), including p53, thereby limiting the translation of oncogenes, triggering [...] Read more.
Selinexor (Seli) is a first-in-class, oral selective inhibitor of the nuclear export protein, exportin-1 (XPO1). Seli exhibits its antitumor effect through the blockage of XPO1, which increases nuclear retention of tumor suppressor proteins (TSPs), including p53, thereby limiting the translation of oncogenes, triggering cell cycle arrest and the death of malignant cells. Multiple Myeloma (MM) patients with del17p are deficient in TP53 and have a particularly poor prognosis. Given its unique mechanism of action, we investigated whether Seli has increased efficacy in RRMM patients with del17p compared to other high-risk cytogenetics (OHRC). This is an IRB-approved observational study of RRMM patients with high-risk cytogenetics (del17p, t (4;14), t (14;16) or gain 1q) or standard-risk cytogenetics treated at the Levine Cancer Institute (LCI) with a Seli-based regimen between January 2019 and December 2022. Time-to-event endpoints (PFS, OS) were evaluated using Kaplan–Meier (KM) methods. Log-rank tests compared time-to-event endpoints between cohorts [del17p vs. OHRC vs. standard risk]. We identified 40 RRMM patients with high-risk cytogenetics, including 16 patients with del17p and 24 patients with OHRC, as well as 20 with standard-risk cytogenetics. The median age was 62.5 vs. 69 vs. 65.5 years (del17p group vs. OHRC vs. standard risk). The median prior line of therapies was five (range: 3–16) with similar rates of prior autologous stem cell transplant in all arms (68.8% vs. 62.5% vs. 70.0%). The most frequently used regimens were Seli–Pomalidomide–dexamethasone(dex) or Seli–Carfilzomib–dex (Seli-Kd) in the del17p group and Seli-Kd in the OHRC and standard-risk groups. The median time to start the Seli-based regimen after initial MM diagnosis was 5.6 years for the del17p group, 4.1 years in OHRC, and 4.8 years in the standard-risk group. The median follow-up time after the start of the Seli-based regimen was 10.5 months (mos) in the del17p group, 8.4 mos in OHRC, and 10.3 mos in the standard-risk group. In the del17p group, 50% had an objective response, 41.7% in the OHRC, and 35% in the standard-risk group (p = 0.71). Depth of response was also similar across the arms (12.5% vs. 12.5% vs. 10.0% VGPR p = 0.99). The median OS was 10.9 mos in the del17p group, 10.3 mos in the OHRC, and 10.3 mos in the standard-risk group (p = 0.92). The median OS was 15.5 mos for patients who received Seli as a bridging therapy versus 9 mos for Seli use for other reasons rather than as a bridge. Overall, Seli-based regimens showed promising responses even in this heavily pretreated population. Our analysis suggests that Seli-based regimens lead to similar outcomes among RRMM patients with del17p, OHRC, and standard-risk cytogenetics. This contrasts with previously reported outcomes using combinations of novel therapies in this population, where the del17p patients often have a poorer prognosis. Interestingly, our data suggest that Seli is a particularly effective bridging modality for patients preparing for CAR-T cell therapies in our population. Further investigation into this population is warranted, including in earlier lines of therapy, in hopes of seeing a more durable response. Full article
(This article belongs to the Section Medical Research)
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<p>Best response to a Selinexor-containing regimen in RRMM patients with del17p (N = 16), other high-risk cytogenetics (N = 24), or standard risk (N = 20). Overall response rate (ORR) defined as patients who achieved at least a partial response (PR) is listed in red.</p>
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<p>Progression-free survival (<b>A</b>) and overall survival (<b>B</b>) in patients del17p, other high-risk cytogenetics (OHRC), and standard-risk cytogenetics treated with Selinexor-containing regimens. Survival outcomes were similar between cohorts, contrary to most agents which have lower efficacy in del17p patients.</p>
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16 pages, 7006 KiB  
Article
Interaction between LMFP and NCMA and Its Effect on Blending Cathode-Based Cells
by Jingyuan Liu, Si Chen, Dewen Kong, Meiyuan Wu and Haijing Liu
Energies 2024, 17(4), 808; https://doi.org/10.3390/en17040808 - 8 Feb 2024
Cited by 2 | Viewed by 2568
Abstract
Li-ion cells with a LiMnxFe1−xPO4 (LMFP) and LiNi1−x−y−zCoxMnyAlzO2 (NCMA) blending cathode show their benefits of lower cost and higher safety compared to barely NCMA cathode-based cells. However, the rate [...] Read more.
Li-ion cells with a LiMnxFe1−xPO4 (LMFP) and LiNi1−x−y−zCoxMnyAlzO2 (NCMA) blending cathode show their benefits of lower cost and higher safety compared to barely NCMA cathode-based cells. However, the rate capability of LMFP material is relatively poor compared to NCMA or even LiFePO4, which is because of the low electronic conductivity of LMFP material and the 1D diffusion channel in its structure. This work discusses the effect on electrochemical performance when blends of various ratios of LMFP are used in an NCMA cathode, with data verified by a 5 Ah pouch cell. This work further investigated the interaction between NCMA and LMFP during charge/discharge. Combining results from experiment and simulation, it evidences that blending more LMFP does not always lead to worse discharge rate but reduces charge rate. Moreover, it is found that, in a constant current discharge/charge process, although the system is under continuous discharge/charge, LMFP works intermittently. This leads to different diffusion polarization states of LMFP in the discharge/charge process and further results in a difference in discharge/charge rate capability. Therefore, to improve rate capability, especially charging rate, using smaller-sized or doped LMFP to improve its diffusion coefficient is an optimized strategy. Full article
(This article belongs to the Special Issue Advanced Design Technologies of Lithium Ion Batteries Electrodes)
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<p>SEM images of materials: (<b>a</b>,<b>d</b>) NCMA, (<b>b</b>,<b>e</b>) LMFP, and (<b>c</b>,<b>f</b>) graphite. (<b>g</b>,<b>h</b>) Illustration of cell testing fixture. (<b>i</b>) Foam’s response pressure vs. foam deformation plot.</p>
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<p>(<b>a</b>) Discharge capacity retention in C/3 charge/discharge cycling of cells G1–G4, with RPT test after 100th cycle. (<b>b</b>) Voltage profile of 100% SOC G1–G4 cells for 7 days’ rest.</p>
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<p>Rate performance of G1–G4 cells: (<b>a</b>) capacity retention in constant C-rate discharge/different C-rate charge and (<b>b</b>) capacity retention in constant C-rate charge/different C-rate discharge. C-rates involved are C/10, C/5, C/3, C/2, 1C, 2C, and 3C.</p>
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<p>Voltage profiles of G1–G4 pouch cell in (<b>a</b>) C/10 discharge, (<b>b</b>) C/3 discharge, (<b>c</b>) 2C discharge, (<b>d</b>) C/10 charge, (<b>e</b>) C/3 charge, and (<b>f</b>) 2C charge. Inlet plots in (<b>a</b>,<b>b</b>,<b>d</b>,<b>e</b>) show enlargement of voltage profiles in dotted frameworks.</p>
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<p>Representative voltage of (<b>a</b>) NCMA, (<b>b</b>) LMFP, (<b>c</b>) graphite obtained in C/64, and (<b>d</b>) the voltage vs. SOC of LMFP and illustration of room for polarization. (<b>e</b>) C-rate performance of LMFP/Li half-coin cell, percentages referring to capacity in C/3.</p>
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<p>(<b>a</b>–<b>c</b>) Exchange current (<span class="html-italic">i</span><sub>0</sub>) of NCMA, LMFP, and graphite, respectively, and (<b>d</b>–<b>f</b>) diffusion coefficient (<span class="html-italic">D</span><sub>s</sub>) of NCMA, LMFP, and graphite, respectively. Data are based on impedance fitting and calculation.</p>
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<p>X-ray diffraction pattern and refinement result of (<b>a</b>) NCMA and (<b>b</b>) LMFP.</p>
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<p>P2D simulation results of (<b>a</b>) G1, (<b>b</b>) G2, (<b>c</b>) G3, and (<b>d</b>) G4 cells under C/3 constant current discharge and comparison to experimental testing results.</p>
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<p>Normalized voltage loss in discharge process contributed by anode, cathode, and separator, respectively, in (<b>a</b>) G1, (<b>b</b>) G2, (<b>c</b>) G3, and (<b>d</b>) G4 cell.</p>
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<p>Normalized voltage loss in charge process contributed by anode, cathode, and separator, respectively, in (<b>a</b>) G1, (<b>b</b>) G2, (<b>c</b>) G3, and (<b>d</b>) G4 cell.</p>
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<p>(<b>a</b>) Voltage profile of G3 cell in discharge process, (<b>b</b>) active material particle’s surface SOC change along full cell’s SOC in discharge process, (<b>c</b>) active material particle’s average SOC change along full cell’s SOC in discharge process, (<b>d</b>) difference between active material particle’s surface SOC and average SOC along full cell’s SOC, and (<b>e</b>) SOC distribution in LMFP particle in 4 typical stages.</p>
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<p>(<b>a</b>) Voltage profile of G3 cell in charge process, (<b>b</b>) active material particle’s surface SOC change in charge process along full cell’s SOC, (<b>c</b>) active material particle’s average SOC change in charge process along full cell’s SOC, (<b>d</b>) difference between active material particle’s surface SOC and average SOC along full cell’s SOC, and (<b>e</b>) SOC distribution in LMFP particle in 4 typical stages.</p>
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14 pages, 3144 KiB  
Article
Transcriptomic Changes in the Myocardium and Coronary Artery of Donation after Circulatory Death Hearts following Ex Vivo Machine Perfusion
by Lars Saemann, Kristin Wächter, Adrian-Iustin Georgevici, Sabine Pohl, Fabio Hoorn, Gábor Veres, Sevil Korkmaz-Icöz, Matthias Karck, Andreas Simm and Gábor Szabó
Int. J. Mol. Sci. 2024, 25(2), 1261; https://doi.org/10.3390/ijms25021261 - 19 Jan 2024
Viewed by 1271
Abstract
Donation after circulatory death (DCD) hearts are predominantly maintained by normothermic blood perfusion (NBP). Nevertheless, it was shown that hypothermic crystalloid perfusion (HCP) is superior to blood perfusion to recondition left ventricular (LV) contractility. However, transcriptomic changes in the myocardium and coronary artery [...] Read more.
Donation after circulatory death (DCD) hearts are predominantly maintained by normothermic blood perfusion (NBP). Nevertheless, it was shown that hypothermic crystalloid perfusion (HCP) is superior to blood perfusion to recondition left ventricular (LV) contractility. However, transcriptomic changes in the myocardium and coronary artery in DCD hearts after HCP and NBP have not been investigated yet. In a pig model, DCD hearts were harvested and maintained for 4 h by NBP (DCD-BP group, N = 8) or HCP with oxygenated histidine–tryptophane–ketoglutarate (HTK) solution (DCD-HTK, N = 8) followed by reperfusion with fresh blood for 2 h. In the DCD group (N = 8), hearts underwent reperfusion immediately after procurement. In the control group (N = 7), no circulatory death was induced. We performed transcriptomics from LV myocardial and left anterior descending (LAD) samples using microarrays (25,470 genes). We applied the Boruta algorithm for variable selection to identify relevant genes. In the DCD-BP group, compared to DCD, six genes were regulated in the myocardium and 1915 genes were regulated in the LAD. In the DCD-HTK group, 259 genes were downregulated in the myocardium and 27 in the LAD; and 52 genes were upregulated in the myocardium and 765 in the LAD, compared to the DCD group. We identified seven genes of relevance for group identification: ITPRIP, G3BP1, ARRDC3, XPO6, NOP2, SPTSSA, and IL-6. NBP resulted in the upregulation of genes involved in mitochondrial calcium accumulation and ROS production, the reduction in microvascular endothelial sprouting, and inflammation. HCP resulted in the downregulation of genes involved in NF-κB-, STAT3-, and SASP-activation and inflammation. Full article
(This article belongs to the Special Issue Recent Advances in the Molecular Biology of Transplantation)
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Graphical abstract
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<p>Overview. (<b>A</b>) Groups. (<b>B</b>) Gene expression. BP: blood perfusion. DCD: donation after circulatory death. HTK: histidine–tryptophane–ketoglutarate.</p>
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<p>DCD vs. control hearts. (<b>A</b>,<b>B</b>) Heat maps. (<b>C</b>,<b>D</b>) Volcano plots. Green: significantly downregulated genes. Red: significantly upregulated genes. Grey: Not significantly regulated and/or not regulated &gt; 2 or &lt;−2 fold change. DCD: donation after circulatory death. LAD: left anterior descending.</p>
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<p>DCD-BP vs. DCD. (<b>A</b>,<b>B</b>) Heat maps. (<b>C</b>,<b>D</b>) Volcano plots. Green: significantly downregulated genes. Red: significantly upregulated genes. Grey: Not significantly regulated and/or not regulated &gt; 2 or &lt;−2 fold change. BP: blood perfusion. DCD: donation after circulatory death. LAD: left anterior descending.</p>
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<p>DCD-HTK vs. DCD. (<b>A</b>,<b>B</b>) Heat maps. (<b>C</b>,<b>D</b>) Volcano plots. Green: significantly downregulated genes. Red: significantly upregulated genes. Grey: Not significantly regulated and/or not regulated &gt; 2 or &lt;−2 fold change. DCD: donation after circulatory death. LAD: left anterior descending. HTK: histidine–tryptophane–ketoglutarate.</p>
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<p>DCD-HTK vs. DCD-BP. (<b>A</b>,<b>B</b>) Heat maps. (<b>C</b>,<b>D</b>) Volcano plots. Green: significantly downregulated genes. Red: significantly upregulated genes. Grey: Not significantly regulated and/or not regulated &gt; 2 or &lt;−2 fold change. BP: blood perfusion. DCD: donation after circulatory death. LAD: left anterior descending. HTK: histidine–tryptophane–ketoglutarate.</p>
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<p>Machine learning analysis. (<b>A</b>) Network analysis. (<b>B</b>) Decision tree analysis. BP: blood perfusion. DCD: donation after circulatory death. LAD: left anterior descending. HTK: histidine–tryptophane–ketoglutarate. M, L, and D combined with gene symbols reflect the myocardial expression, LAD expression, or expression difference between both tissues.</p>
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<p>Expression of key genes. *, ** <span class="html-italic">p</span> &lt; 0.05 or &lt;0.001 vs. control. <sup><span>$</span></sup>, <sup><span>$</span><span>$</span></sup> <span class="html-italic">p</span> &lt; 0.05 or &lt;0.001 vs. DCD. <sup>#, ##</sup> <span class="html-italic">p</span> &lt; 0.05 or &lt;0.001 vs. DCD-BP.</p>
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12 pages, 3707 KiB  
Article
Phase Formation in NaH2PO4–VOSO4–NaF–H2O System and Rapid Synthesis of Na3V2O2x(PO4)2F3-2x
by Zhi Lin
Crystals 2024, 14(1), 43; https://doi.org/10.3390/cryst14010043 - 28 Dec 2023
Viewed by 1113
Abstract
Renewable electricity products, for example, from wind and photovoltaic energy, need large-scale and economic energy storage systems to guarantee the requirements of our daily lives. Sodium-ion batteries are considered more economical than lithium-ion batteries in this area. Na3V2(PO4 [...] Read more.
Renewable electricity products, for example, from wind and photovoltaic energy, need large-scale and economic energy storage systems to guarantee the requirements of our daily lives. Sodium-ion batteries are considered more economical than lithium-ion batteries in this area. Na3V2(PO4)2F3, NaVPO4F, and Na3(VO)2(PO4)2F are one type of material that may be used for Na-ion batteries. In order to better understand the synthesis of these materials, the phase formation in a NaH2PO4–VOSO4–NaF–H2O system under hydrothermal conditions was studied and is reported herein. This research focused on the influences of the sodium fluoride content and hydrothermal crystallization time on phase formation and phase purity. The phase transformation between Na(VO)2(PO4)2(H2O)4 and Na3V2O2x(PO4)2F3-2x was also studied. Na3V2O2x(PO4)2F3-2x with a high degree of crystallinity can be obtained in as short as 2 h via hydrothermal synthesis using a conventional oven at 170 °C without agitation. All compounds obtained in this research were studied mainly using powder X-ray diffraction, scanning electron microscopy, energy-dispersive X-ray spectrometry, and Fourier-transform infrared spectroscopy. Full article
(This article belongs to the Special Issue Feature Papers in Crystals 2023)
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<p>Simulated powder XRD patterns of (a) Na(VO)<sub>2</sub>(PO<sub>4</sub>)<sub>2</sub>(H<sub>2</sub>O)<sub>4</sub> and (d) Na(VO)PO<sub>4</sub>. Experimental powder XRD patterns of samples obtained without addition of sodium fluoride: (b) 1-day green powder sample; (c) 1-day black single crystal sample; and (e) 3-day sample (mainly black single crystals).</p>
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<p>Simulated powder XRD patterns of (a) Na(VO)<sub>2</sub>(PO<sub>4</sub>)<sub>2</sub>(H<sub>2</sub>O)<sub>4</sub> and (b) Na<sub>3</sub>(VO)<sub>2</sub>(PO<sub>4</sub>)<sub>2</sub>F. Experimental powder XRD patterns of samples with a F/V molar ratio of 0.1 in the starting mixture and with synthesis time of (c) 1 day, (d) 3-day powder sample with few black single crystals, and (e) 3-day black single crystal sample with a small amount of powder.</p>
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<p>The V<sub>2</sub>O<sub>10</sub>F dimer (<b>a</b>) in Na<sub>3</sub>(VO)<sub>2</sub>(PO<sub>4</sub>)<sub>2</sub>F structure (<b>b</b>) and structural representations of Na(VO)<sub>2</sub>(PO<sub>4</sub>)<sub>2</sub>(H<sub>2</sub>O)<sub>4</sub> phase (<b>c</b>).</p>
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<p>Powder XRD patterns of samples with a F/V molar ratio of 0.7 and synthesis times of 1 day (a) and 3 days (b) and those of samples with a F/V molar ratio of 2.1 and synthesis times of 1 day (c) and 3 days (d).</p>
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<p>SEM images of samples with a H<sub>2</sub>O/V molar ratio of 70, a F/V molar ratio of 0.7 (<b>a</b>), and 2.1 (<b>b</b>) in starting mixture and synthesized at 170 °C for 1 day.</p>
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<p>Simulated powder XRD patterns of Na(VO)<sub>2</sub>(PO4)<sub>2</sub>(H<sub>2</sub>O)<sub>4</sub> (green line) and Na<sub>3</sub>V<sub>2</sub>(PO<sub>4</sub>)<sub>2</sub>F<sub>3</sub> (red line). Experimental powder XRD patterns of (a) start powder sample (blue line) and (b) powder sample after tumbling in sodium fluoride solution for 2 days (black line).</p>
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<p>Powder XRD patterns of samples with a F/V molar ratio of 2.1 in starting mixture and synthesized at 170 °C for 2 h (a), 5 h (b), 1 day (c), and 3 days (d).</p>
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<p>SEM images of samples with a H<sub>2</sub>O/V molar ratio of 140 in starting mixture and synthesized at 170 °C for 2 h with a F/V molar ratio of 2.1 (<b>left</b>) and 5 h with a F/V molar ratio of 0.7 (<b>right</b>), respectively.</p>
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<p>DR UV–vis spectra of selected samples (see <a href="#crystals-14-00043-t001" class="html-table">Table 1</a>).</p>
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<p>FT-IR spectra of selected samples (see <a href="#crystals-14-00043-t001" class="html-table">Table 1</a>). The peak positions are collected in <a href="#app1-crystals-14-00043" class="html-app">Table S1</a>.</p>
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26 pages, 2698 KiB  
Review
Viral Subversion of the Chromosome Region Maintenance 1 Export Pathway and Its Consequences for the Cell Host
by Makram Mghezzi-Habellah, Léa Prochasson, Pierre Jalinot and Vincent Mocquet
Viruses 2023, 15(11), 2218; https://doi.org/10.3390/v15112218 - 6 Nov 2023
Viewed by 1659
Abstract
In eukaryotic cells, the spatial distribution between cytoplasm and nucleus is essential for cell homeostasis. This dynamic distribution is selectively regulated by the nuclear pore complex (NPC), which allows the passive or energy-dependent transport of proteins between these two compartments. Viruses possess many [...] Read more.
In eukaryotic cells, the spatial distribution between cytoplasm and nucleus is essential for cell homeostasis. This dynamic distribution is selectively regulated by the nuclear pore complex (NPC), which allows the passive or energy-dependent transport of proteins between these two compartments. Viruses possess many strategies to hijack nucleocytoplasmic shuttling for the benefit of their viral replication. Here, we review how viruses interfere with the karyopherin CRM1 that controls the nuclear export of protein cargoes. We analyze the fact that the viral hijacking of CRM1 provokes are-localization of numerous cellular factors in a suitable place for specific steps of viral replication. While CRM1 emerges as a critical partner for viruses, it also takes part in antiviral and inflammatory response regulation. This review also addresses how CRM1 hijacking affects it and the benefits of CRM1 inhibitors as antiviral treatments. Full article
(This article belongs to the Section Animal Viruses)
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Figure 1

Figure 1
<p>Structure of CRM1. (<b>A</b>) Schematic representation on CRM1 showing its important motifs. In N-ter, the CRIME motif is colored green. The regulatory heat 9 (H9) is red. The NES pocket (H11 and H12) is blue. Colors are respected in all the different structures. (<b>B</b>) Different experimental crystal structure of CRM1. (i) “Open” structure of CRM1 with low affinity for the cargoes. RCSB PDB: 4FGV from [<a href="#B16-viruses-15-02218" class="html-bibr">16</a>]. (ii) Ring structure of CRM1 in association with RanGTP (in cyan), required for active export to cytoplasm. RCSB PDB: 3NC1 from [<a href="#B17-viruses-15-02218" class="html-bibr">17</a>]. (iii) Structure of the export complex with high affinity for the cargo, Snuportin (SNUPN—magenta). SNUPN interacts with the NES pocket but additional contacts with CRM1 backbone are required for the stabilization of the complex. To facilitate the visualization, RanGTP has been removed. RCSB PDB: 3GB8 from [<a href="#B18-viruses-15-02218" class="html-bibr">18</a>]. (<b>C</b>) Magnification of the SNUPN NES (magenta) orientation in the NES-binding groove of CRM1. Hydrophobic acids (Φ) from the NES sequence are indicated. All the structures were generated using PyMOL Molecular Graphics System Version 2.5.5.</p>
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<p>Biological process relying on CRM1. CRM1 exports protein cargoes containing NES. The multiplicity of the biological process dependent on CRM1 were revealed by the study of CRM1 mutants or overexpression in diseases, CRM1 inhibition by synthetic inhibitors and CRM1 interactome. Regulatory proteins include transcription factors that indirectly link CRM1 with several additional cellular functions. These transcriptional effects can also be combined with the RNA export function of CRM1. Overall, CRM1 regulates biological processes through time and space, ensuring the correct localization of proteins for their respective function, but also guarantees the limited residence of active factors in the nucleus to safeguard cellular homeostasis. CRM1 also exerts export-independent functions during snoRNA maturation to target snoRNA to the nucleolus.</p>
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<p>Inhibitors of CRM1. (<b>A</b>) Structure of CRM1 in association with SINE. Domains are coloured as descried in <a href="#viruses-15-02218-f001" class="html-fig">Figure 1</a>. (i) Structure of CRM1 in association with leptomycin B (LMB), in purple. RCSB PDB: 6TVO from [<a href="#B61-viruses-15-02218" class="html-bibr">61</a>]. (ii) Structure of CRM1 in association with Selinexor (KPT-330), in purple. RCSB PDB: 7L5E from [<a href="#B62-viruses-15-02218" class="html-bibr">62</a>]. The two described SINE inhibit CRM1 nuclear export by interaction with the cysteine 528, located on the NES binding groove. All these figures were generate using PyMOL Molecular Graphics System Version 2.5.5. (<b>B</b>) Table of the CRM1 inhibitors used in antiviral therapy (see <a href="#sec5-viruses-15-02218" class="html-sec">Section 5</a>, Discussion) [<a href="#B6-viruses-15-02218" class="html-bibr">6</a>,<a href="#B63-viruses-15-02218" class="html-bibr">63</a>,<a href="#B64-viruses-15-02218" class="html-bibr">64</a>,<a href="#B65-viruses-15-02218" class="html-bibr">65</a>,<a href="#B66-viruses-15-02218" class="html-bibr">66</a>,<a href="#B67-viruses-15-02218" class="html-bibr">67</a>,<a href="#B68-viruses-15-02218" class="html-bibr">68</a>].</p>
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<p>Scheme summarizing the consequences of the viral hijacking of CRM1. (1) Upon viral infection, it is well described that CRM1 is hijacked to support vRNA export with a viral NES adaptor or with HuR. (2) The re-localization of cellular proteins is also described as a consequence of CRM1 hijacking, notably to the site of virus assembly or/and virus replication sites. (3) In HAdV, CRM1 plays a crucial role by enhancing the microtubule mediated transport of the virions to the nuclear membrane. (4) In some cases, CRM1 hijacking is involved in the alteration of the NPC composition, affecting the nucleocytoplasmic trafficking.</p>
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22 pages, 5307 KiB  
Article
Co-Sintering of Li1.3Al0.3Ti1.7(PO4)3 and LiFePO4 in Tape-Casted Composite Cathodes for Oxide Solid-State Batteries
by Jean Philippe Beaupain, Katja Waetzig, Henry Auer, Nicolas Zapp, Kristian Nikolowski, Mareike Partsch, Mihails Kusnezoff and Alexander Michaelis
Batteries 2023, 9(11), 543; https://doi.org/10.3390/batteries9110543 - 2 Nov 2023
Viewed by 2362
Abstract
Solid-state batteries (SSBs) with Li-ion conductive electrolytes made from polymers, thiophosphates (sulfides) or oxides instead of liquid electrolytes have different challenges in material development and manufacturing. For oxide-based SSBs, the co-sintering of a composite cathode is one of the main challenges. High process [...] Read more.
Solid-state batteries (SSBs) with Li-ion conductive electrolytes made from polymers, thiophosphates (sulfides) or oxides instead of liquid electrolytes have different challenges in material development and manufacturing. For oxide-based SSBs, the co-sintering of a composite cathode is one of the main challenges. High process temperatures cause undesired decomposition reactions of the active material and the solid electrolyte. The formed phases inhibit the high energy and power density of ceramic SSBs. Therefore, the selection of suitable material combinations as well as the reduction of the sintering temperatures are crucial milestones in the development of ceramic SSBs. In this work, the co-sintering behavior of Li1.3Al0.3Ti1.7(PO4)3 (LATP) as a solid electrolyte with Li-ion conductivity of ≥0.38 mS/cm and LiFePO4 with a C-coating (LFP) as a Li-ion storage material (active material) is investigated. The shrinkage behavior, crystallographic analysis and microstructural changes during co-sintering at temperatures between 650 and 850 °C are characterized in a simplified model system by mixing, pressing and sintering the LATP and LFP and compared with tape-casted composite cathodes (d = 55 µm). The tape-casted and sintered composite cathodes were infiltrated by liquid electrolyte as well as polyethylene oxide (PEO) electrolyte and electrochemically characterized as half cells against a Li metal anode. The results indicate the formation of reaction layers between LATP and LFP during co-sintering. At Ts > 750 °C, the rhombohedral LATP phase is transformed into an orthorhombic Li1.3+xAl0.3−yFex+yTi1.7−x(PO4)3 (LAFTP) phase. During co-sintering, Fe3+ diffuses into the LATP phase and partially occupies the Al3+ and Ti4+ sites of the NASICON structure. The formation of this LAFTP leads to significant changes in the electrochemical properties of the infiltrated composite tapes. Nevertheless, a high specific capacity of 134 mAh g−1 is measured by infiltrating the sintered composite tapes with liquid electrolytes. Additionally, infiltration with a PEO electrolyte leads to a capacity of 125 mAh g−1. Therefore, the material combination of LATP and LFP is a promising approach to realize sintered ceramic SSBs. Full article
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Graphical abstract

Graphical abstract
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<p>Thermal shrinkage behavior of the pure materials Li<sub>1.3</sub>Al<sub>0.3</sub>Ti<sub>1.7</sub>(PO<sub>4</sub>)<sub>3</sub> (LATP), LiFePO<sub>4</sub> (LFP) and the LATP-LFP (50/50 wt%) mixture during sintering under a N<sub>2</sub> atmosphere (left Y axis). The silhouette of the LATP-LFP mixture (shadow image) is dependent on the sintering temperatures (bottom) between 600 and 900 °C. The relative sintering densities of the LATP-LFP bulk samples as function of the sintering temperature (right Y axis).</p>
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<p>(<b>a</b>) Thermogravimetry (TG, left Y axis) and differential thermogravimetry as first derivation (DTG, right Y axis) of pristine LATP and C-coated LFP in comparison with an LATP-LFP (50/50 wt.%) mixture. (<b>b</b>) Corresponding mass spectrometry with <span class="html-italic">m</span>/<span class="html-italic">z</span> values 18 and 44 for H<sub>2</sub>O<sup>+</sup> and CO<sub>2</sub><sup>+</sup>, respectively.</p>
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<p>(<b>a</b>) X-ray powder diffraction of co-sintered LATP-LFP composites. (<b>b</b>) Selected 2θ regions are enlarged to show the newly formed phases upon the decomposition of LiFePO<sub>4</sub> (PDF 01-070-6684, <span class="html-italic">Pnma</span>) and Li<sub>1.3</sub>Al<sub>0.3</sub>Ti<sub>1.7</sub>(PO<sub>4</sub>)<sub>3</sub> (PDF 00-066-0868; NASICON <span class="html-italic">R</span><math display="inline"><semantics> <mrow> <mover accent="true"> <mrow> <mn>3</mn> </mrow> <mo>–</mo> </mover> </mrow> </semantics></math><span class="html-italic">c</span> x &lt; 0.6) to Li<sub>1.3+x</sub>Al<sub>0.3−y</sub>Fe<sub>x+y</sub>Ti<sub>1.7−x</sub>(PO<sub>4</sub>)<sub>3</sub> (LAFTP, PDF 00-054-0032, <span class="html-italic">Pbca</span> 0.3 &lt; x + y &lt; 0.8), AlPO<sub>4</sub> (PDF 01-081-1007, <span class="html-italic">R</span><math display="inline"><semantics> <mrow> <mover accent="true"> <mrow> <mn>3</mn> </mrow> <mo>¯</mo> </mover> </mrow> </semantics></math>), Fe<sub>2</sub>P<sub>2</sub>O<sub>7</sub> (PDF 01-076-1762, <span class="html-italic">C</span><math display="inline"><semantics> <mrow> <mover accent="true"> <mrow> <mn>2</mn> </mrow> <mo>¯</mo> </mover> </mrow> </semantics></math>) and Li<sub>4</sub>P<sub>2</sub>O<sub>7</sub> (PDF 01-078-6750, <span class="html-italic">P</span><math display="inline"><semantics> <mrow> <mover accent="true"> <mrow> <mn>1</mn> </mrow> <mo>¯</mo> </mover> </mrow> </semantics></math>).</p>
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<p>FESEM images of co-sintered LATP-LFP samples with Li<sub>1.3</sub>Al<sub>0.3</sub>Ti<sub>1.7</sub>(PO<sub>4</sub>)<sub>3</sub>, LiFePO<sub>4</sub>, pores based on C-coating decomposition and elongated crystals of Li<sub>1.3+x</sub>Al<sub>0.3−y</sub>Fe<sub>x+y</sub>Ti<sub>1.7−x</sub>(PO<sub>4</sub>)<sub>3</sub> (0.3 &lt; x + y &lt; 0.8, <span class="html-italic">Pbca</span>) at different sintering temperatures.</p>
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<p>Densification of the tape-casted LATP-LFP composite with organic binder in comparison with the pressed powder mixture with and LATP-LFP ratio of 66/34 vol.%. The silhouettes indicate shrinkage behavior of LATP-LFP tapes between 135 and 850 °C. The shrinkage at T<sub>s</sub> &gt; 600 °C of pressed LATP-LFP powder (−13.6%) is larger than that of LATP-LFP tape (−4.6%).</p>
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<p>FESEM images of sintered tape-casted LATP-LFP composites independent of the sintering temperature.</p>
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<p>Powder X-ray diffraction pattern of co-sintered LATP-LFP tapes as function of the temperature. Selected 2θ are shown enlarged with markings of the new reflexes. Referenced crystal structures are LiFePO<sub>4</sub> (PDF 01-070-6684, <span class="html-italic">Pnma</span>), Li<sub>1.3</sub>Al<sub>0.3</sub>Ti<sub>1.7</sub>(PO<sub>4</sub>)<sub>3</sub> (PDF 00-066-0868; NASICON <span class="html-italic">R</span><math display="inline"><semantics> <mrow> <mover accent="true"> <mrow> <mn>3</mn> </mrow> <mo>¯</mo> </mover> </mrow> </semantics></math><span class="html-italic">c</span> x &lt; 0.6), Li<sub>1.3+x</sub>Al<sub>0.3−y</sub>Fe<sub>x+y</sub>Ti<sub>1.7−x</sub>(PO<sub>4</sub>)<sub>3</sub> (LAFTP, PDF 01-074-7544, <span class="html-italic">Pbna</span> x + y &gt; 0.8), AlPO<sub>4</sub> (PDF 01-081-1007, <span class="html-italic">R</span><math display="inline"><semantics> <mrow> <mover accent="true"> <mrow> <mn>3</mn> </mrow> <mo>¯</mo> </mover> </mrow> </semantics></math>), Fe<sub>2</sub>P<sub>2</sub>O<sub>7</sub> (PDF 01-076-1762, <span class="html-italic">C</span><math display="inline"><semantics> <mrow> <mover accent="true"> <mrow> <mn>2</mn> </mrow> <mo>¯</mo> </mover> </mrow> </semantics></math>) and Fe<sub>2</sub>P (PDF 00-051-0943, <span class="html-italic">P</span><math display="inline"><semantics> <mrow> <mover accent="true"> <mrow> <mn>6</mn> </mrow> <mo>¯</mo> </mover> </mrow> </semantics></math>2<span class="html-italic">m</span>).</p>
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<p>(<b>a</b>): Discharge capacities of LATP-LFP tapes sintered at different temperatures with different C-rates (3 V to 3.8 V) and after 20 cycles of aging at 1C charging, 1C discharging. (<b>b</b>): Example of a cycling profile for LATP-LFP sintered tape (750 °C) infiltrated with liquid electrolyte at different C-rates.</p>
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<p>(<b>a</b>) Reversible cycling at C/10 and (<b>b</b>) cyclic voltammetry measurement of pristine carbon-coated LATP powder (casted as conventional electrode) for reference. The green arrows indicate the scan direction of the cyclic voltammetry measurement.</p>
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<p>(<b>left</b>) Potential profile of C-LATP (pristine) and co-sintered LATP-LFP tape up to a low potential of 2.0 V. The specific capacities are normalized to the LFP and LATP amounts. (<b>right</b>) Corresponding d<span class="html-italic">Q</span>/d<span class="html-italic">U</span> analysis as a function of the potential <span class="html-italic">U</span>.</p>
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<p>Scheme of the electrochemical reactions of Fe<sup>2+/3+</sup> and Ti<sup>3+/4+</sup> during first discharging and charging and assignment of chemical environment eighter in an olivine- or a NASICON-type structure. Redox reactions at potential 2.0 &lt; U &lt; 2.6 V are assigned to Ti<sup>3+/4+</sup> in the NASICON structure (blue), 2.6 &lt; U &lt; 3.2 V to Fe<sup>2+/3+</sup> in the NASICON structure (violet), and 3.2 &lt; U &lt; 3.8 V to Fe<sup>2+/3+</sup> in the olivine structure (green).</p>
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<p>(<b>a</b>): Capacities of the Li | PEO | LATP-LFP cells at 45 °C and 60 °C and at slow C-rates (3 V discharge limit). (<b>b</b>): Representative impedance spectra of the sample sintered at 850 °C right after assembly, after cycling at 45 °C, after changing the temperature to 60 °C and after cycling at 60 °C.</p>
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15 pages, 17662 KiB  
Article
Molecular Characterization of Primary Mediastinal Large B-Cell Lymphomas
by Marie Donzel, Florian Pesce, Alexis Trecourt, Razika Groussel, Emmanuel Bachy, Hervé Ghesquières, Juliette Fontaine, Nazim Benzerdjeb, Claire Mauduit and Alexandra Traverse-Glehen
Cancers 2023, 15(19), 4866; https://doi.org/10.3390/cancers15194866 - 6 Oct 2023
Cited by 2 | Viewed by 2164
Abstract
Since the description of primary mediastinal large B-cell lymphoma (PMBL) as a distinct entity from diffuse large B-cell lymphomas (DLBCL), numerous studies have made it possible to improve their definition. Despite this, this differential diagnosis can be challenging in daily practice. However, in [...] Read more.
Since the description of primary mediastinal large B-cell lymphoma (PMBL) as a distinct entity from diffuse large B-cell lymphomas (DLBCL), numerous studies have made it possible to improve their definition. Despite this, this differential diagnosis can be challenging in daily practice. However, in some centers, PMBL may be treated according to a particular regimen, distinct from those used in DLBCL, emphasizing the importance of accurate identification at diagnosis. This study aimed to describe the histological and molecular characteristics of PMBL to improve the accuracy of their diagnosis. Forty-nine cases of PMBL were retrospectively retrieved. The mean age at diagnosis was 39 years (21–83), with a sex ratio of 0.88. All cases presented a fibrous background with diffuse growth of intermediate to large cells with an eosinophil (26/49, 53%) or retracted cytoplasm (23/49, 47%). “Hodgkin-like” cells were observed in 65% of cases (32/49, 65%). The phenotype was: BCL6+ (47/49, 96%), MUM1+ (40/49, 82%), CD30+ (43/49, 88%), and CD23+ (37/49, 75%). Genomic DNAs were tested by next generation sequencing of 33 cases using a custom design panel. Pathogenic variants were found in all cases. The most frequent mutations were: SOCS1 (30/33, 91%), TNFAIP3 (18/33, 54.5%), ITPKB (17/33, 51.5%), GNA13 (16/33, 48.5%), CD58 (12/33, 36.4%), B2M (12/33; 36.4%), STAT6 (11/33, 33.3%) as well as ARID1A (10/33, 30.3%), XPO1 (9/33, 27.3%), CIITA (8/33, 24%), and NFKBIE (8/33, 24%). The present study describes a PMBL cohort on morphological, immunohistochemical, and molecular levels to provide pathologists with daily routine tools. These data also reinforce interest in an integrated histomolecular diagnosis to allow a precision diagnosis as early as possible. Full article
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Figure 1
<p>Histological aspects of eight cases of PMBL. These pictures illustrate the morphological aspect of PMBL. These lymphomas mostly have a diffuse architecture (<b>C</b>–<b>F</b>) but frequently display prominent sclerosis (<b>A</b>–<b>C</b>,<b>G</b>), which is sometimes responsible for a vaguely nodular architecture (<b>A</b>,<b>B</b>,<b>G</b>). Lymphoid cells are intermediate to large. They present round (<b>B</b>,<b>D</b>,<b>F</b>,<b>G</b>) or fusiform nuclei (<b>C</b>,<b>E</b>), surrounded by an abundant retracted (<b>B</b>,<b>F</b>,<b>G</b>) or eosinophil (<b>E</b>,<b>H</b>) cytoplasm. Some cases contain Hodgkin-like cells (<b>E</b>,<b>G</b>), focally associated with eosinophils (<b>E</b>).</p>
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<p>Immunohistochemistry of one PMBL case (case n°26). (A) A HES section showing a pseudo-nodular proliferation; (<b>B</b>) (CD20, ×2.5) lymphomatous cells expressed pan-B markers; (<b>C</b>) (CD3, ×2.5): CD3 staining highlighting associated reactional T-cells of the background; (<b>D</b>) (CD30, ×20): CD30 was expressed with partial a heterogeneous staining; (<b>E</b>) (BCL6, ×20) and (<b>F</b>) (MUM1, ×10): B-cells presented an activated B-cells phenotype with expression of BCL6 and MUM1, without CD10 expression; (<b>G</b>) (CD23, ×20): CD23 was expressed with a diffuse and intense pattern; (<b>H</b>) (BCL2, ×20): BCL2 was overexpressed on 60% of B-cells; (<b>I</b>) (MYC, ×20): MYC was expressed on less than 40% of B-cells; (<b>J</b>) (P53, ×20): there was no P53 overexpression: (<b>K</b>) (HIS EBERs, ×10): in situ hybridization against EBER RNAs was negative; (<b>L</b>) (Ki-67/MIB-1, ×10): proliferative index using Ki-67 was evaluated at 80%.</p>
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<p>Mutational landscape of PMBL tumors. (<b>Bottom</b>) Oncoplot showing the somatic mutational landscape of PMBL. All mutated genes are shown. On the left, the frequency of mutation is indicated for each gene. Bar plots at the right represent the percentage of mutation alterations. (<b>Above</b>) Plots showing the mutational spectrum of PMBL. Plot showing the number of mutations per patient. (<b>Top</b>) Bar plots represent the positive cases for each marker (CD30, CD23), the GC/non-GC subtypes, the progression after chemotherapy, and the tumor stage.</p>
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<p>Schema of the STAT6 protein domain structure. The approximate location of somatic mutations identified in <span class="html-italic">STAT6</span> is indicated.</p>
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30 pages, 4569 KiB  
Article
New Insights on Sperm Function in Male Infertility of Unknown Origin: A Multimodal Approach
by Rita I. Pacheco, Maria I. Cristo, Sandra I. Anjo, Andreia F. Silva, Maria Inês Sousa, Renata S. Tavares, Ana Paula Sousa, Teresa Almeida Santos, Mariana Moura-Ramos, Francisco Caramelo, Bruno Manadas, João Ramalho-Santos and Sandra Gomes Amaral
Biomolecules 2023, 13(10), 1462; https://doi.org/10.3390/biom13101462 - 27 Sep 2023
Viewed by 2553
Abstract
The global trend of rising (male) infertility is concerning, and the unidentifiable causes in half of the cases, the so-called unknown origin male infertility (UOMI), demands a better understanding and assessment of both external/internal factors and mechanisms potentially involved. In this work, it [...] Read more.
The global trend of rising (male) infertility is concerning, and the unidentifiable causes in half of the cases, the so-called unknown origin male infertility (UOMI), demands a better understanding and assessment of both external/internal factors and mechanisms potentially involved. In this work, it was our aim to obtain new insight on UOMI, specifically on idiopathic (ID) and Unexplained male infertility (UMI), relying on a detailed evaluation of the male gamete, including functional, metabolic and proteomic aspects. For this purpose, 1114 semen samples, from males in couples seeking infertility treatment, were collected at the Reproductive Medicine Unit from the Centro Hospitalar e Universitário de Coimbra (CHUC), from July 2018–July 2022. Based on the couples’ clinical data, seminal/hormonal analysis, and strict eligibility criteria, samples were categorized in 3 groups, control (CTRL), ID and UMI. Lifestyle factors and anxiety/depression symptoms were assessed via survey. Sperm samples were evaluated functionally, mitochondrially and using proteomics. The results of Assisted Reproduction Techniques were assessed whenever available. According to our results, ID patients presented the worst sperm functional profile, while UMI patients were similar to controls. The proteomic analysis revealed 145 differentially expressed proteins, 8 of which were specifically altered in ID and UMI samples. Acrosin (ACRO) and sperm acrosome membrane-associated protein 4 (SACA4) were downregulated in ID patients while laminin subunit beta-2 (LAMB2), mannose 6-phosphate isomerase (MPI), ATP-dependent 6-phosphofructokinase liver type (PFKAL), STAR domain-containing protein 10 (STA10), serotransferrin (TRFE) and exportin-2 (XPO2) were downregulated in UMI patients. Using random forest analysis, SACA4 and LAMB2 were identified as the sperm proteins with a higher chance of distinguishing ID and UMI patients, and their function and expression variation were in accordance with the functional results. No alterations were observed in terms of lifestyle and psychological factors among the 3 groups. These findings obtained in an experimental setting based on 3 well-defined groups of subjects, might help to validate new biomarkers for unknown origin male infertility (ID and UMI) that, in the future, can be used to improve diagnostics and treatments. Full article
(This article belongs to the Collection Feature Papers in Molecular Reproduction)
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<p><b>Study design.</b> Individuals’ recruitment, diagnostic workup, individuals’ categorization, and experimental design.</p>
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<p>Sperm non-conventional parameters. (<b>a</b>) Percentage of cells with intact chromatin; (<b>b</b>) Percentage of capacitated cells; (<b>c</b>) Percentage of cells with intact acrosome. Data are presented as mean ± SEM and the number of experiments is indicated in brackets; ***—<span class="html-italic">p</span> &lt; 0.001 in comparison to CTRL; <sup>###</sup>—<span class="html-italic">p</span> &lt; 0.001 and <sup>#</sup>—<span class="html-italic">p</span> &lt; 0.05 in comparison with ID. CTRL—healthy men, ID—idiopathic infertile men, UMI—unexplained infertile men.</p>
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<p>Sperm Mitochondrial membrane potential (MMP). Representative flow cytometry dot-plot chart of (<b>a</b>) CTRL, (<b>b</b>) ID, and (<b>c</b>) UMI sperm cells incubated with JC-1. (<b>d</b>) Percentage of cells with high MMP on the three study groups. Data are presented as Mean ± S.E.M. and the number of experiments is indicated in brackets; *—<span class="html-italic">p</span> &lt; 0.05 in comparison to CTRL. CTRL—healthy men, ID—idiopathic infertile men, UMI—unexplained infertile men.</p>
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<p>Sperm mitochondrial superoxide levels. Flow cytometry dot-plot chart of CTRL (<b>a</b>), ID (<b>b</b>), and (<b>c</b>) UMI sperm cells labelled with MitoSOX (red dots). (<b>d</b>) MitoSOX fluorescence intensity (arbitrary units) on the three study groups. Data are presented as mean ± SEM and the number of experiments is indicated in brackets. CTRL—healthy men, ID—idiopathic infertile men, UMI—unexplained infertile men.</p>
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<p>Venn diagram reflecting the number of differentially expressed proteins between the study groups. CTRL—healthy men, ID—idiopathic infertile men, UMI—unexplained infertile men.</p>
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<p>Characterization of the groups of proteins for (<b>a</b>) transcription factors; (<b>b</b>) biological process; (<b>c</b>) KEGG pathways and (<b>d</b>) GO enrichments possibly associated with male infertility. Grey line corresponds to <span class="html-italic">p</span> value = 0.05. If the black line squares are above the grey line, the gene is considered enriched. In (<b>d</b>) the corrected <span class="html-italic">p</span> value (Benjamini) was used.</p>
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<p>Normalized proteins levels of the proteins differently altered between the fertile group and both types of infertile patients. CISY—citrate synthase. DNAI1—Dynein axonemal intermediate chain 1, EFCB6—EF-hand calcium-binding domain-containing protein 6, GAR3—Golgi-associated RAB2 interactor protein 3, LR37B—Leucine-rich repeat-containing protein 37B, SPESP—Sperm equatorial segment protein 1. *—<span class="html-italic">p</span> &lt; 0.05 in comparison to CTRL; **—<span class="html-italic">p</span> &lt; 0.01 in comparison to CTRL; ***—<span class="html-italic">p</span> &lt; 0.001 in comparison to CTRL. CTRL—Healthy men; ID—idiopathic infertile men; UMI—unexplained infertile men.</p>
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<p>Characterization of the groups of proteins for (<b>a</b>) transcription factors, (<b>b</b>) biological process, (<b>c</b>) KEGG pathways, and (<b>d</b>) GO enrichments possibly associated with unknown origin (ID and UMI) male infertility. Grey line corresponds to <span class="html-italic">p</span> value = 0.05. If the black line squares are above the grey line, the gene is considered enriched. In (<b>d</b>) the corrected p value (Benjamini) was used.</p>
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<p>Normalized proteins levels of the proteins differently altered between ID and UMI. ACRO—acrosin, SACA4—sperm acrosome membrane-associated protein 4, LAMB2—laminin subunit beta-2, MPI—mannose-6-phosphate isomerase, PFKAL—ATP-dependent 6-phosphofructokinase liver type, STA10—START domain-containing protein 10, TRFE—serotransferrin, XPO2—exportin-2. #—<span class="html-italic">p</span> &lt; 0.05 in comparison to ID; CTRL—Healthy men; ID—idiopathic infertile men; UMI—unexplained infertile men.</p>
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12 pages, 1855 KiB  
Article
p62 Is a Potential Biomarker for Risk of Malignant Transformation of Oral Potentially Malignant Disorders (OPMDs)
by Ryo Takasaki, Fumihiko Uchida, Shohei Takaoka, Ryota Ishii, Satoshi Fukuzawa, Eiji Warabi, Naomi Ishibashi-Kanno, Kenji Yamagata, Hiroki Bukawa and Toru Yanagawa
Curr. Issues Mol. Biol. 2023, 45(9), 7630-7641; https://doi.org/10.3390/cimb45090480 - 19 Sep 2023
Viewed by 1173
Abstract
To determine the intracellular behavior of p62, a marker of selective autophagy, in oral potentially malignant disorders (OPMDs). This retrospective study includes 70 patients who underwent biopsy or surgical resection and were definitively diagnosed with OPMDs. Immunohistochemical staining for p62, XPO1, p53, and [...] Read more.
To determine the intracellular behavior of p62, a marker of selective autophagy, in oral potentially malignant disorders (OPMDs). This retrospective study includes 70 patients who underwent biopsy or surgical resection and were definitively diagnosed with OPMDs. Immunohistochemical staining for p62, XPO1, p53, and ki67 was performed on all samples and positive cell occupancy was calculated. We statistically investigated the correlation between protein expression in OPMDs and the association between malignant transformation, clinicopathological characteristics, and occupancy. ki67 expression was negatively correlated with p62 expression in the nucleus (p < 0.01) and positively correlated with p62 expression in the cytoplasm (p < 0.01). For malignant transformation, the expression of p62 in the nucleus (p = 0.03) was significantly lower in malignant transformation cases, whereas the expression of p62 in the cytoplasm (p = 0.03) and the aggregation expression (p < 0.01) were significantly higher. Our results suggest that the function of p62 is altered by its subcellular localization. In addition, defects in selective autophagy occur in cases of malignant transformation, suggesting that p62 is a potential biomarker of the risk of malignant transformation of OPMDs. Full article
(This article belongs to the Special Issue Oral Cancer: Prophylaxis, Etiopathogenesis and Treatment)
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Graphical abstract

Graphical abstract
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<p>The result of p62, XPO1, p53, and ki67 immunohistochemical stains in OPMDs. (<b>A</b>) Representative sections showing strong expression of (<b>a</b>) p62, (<b>b</b>) XPO1, (<b>c</b>) p53, and (<b>d</b>) ki67. (<b>B</b>) Representative sections showing weak expression of (<b>e</b>) p62, (<b>f</b>) XPO1, (<b>g</b>) p53, and (<b>h</b>) ki67.</p>
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<p>Representative example of p62 aggregation expression. p62 aggregation was defined as the presence of at least one dot indicating cytoplasmic accumulation. Arrows indicate representative p62 aggregation images.</p>
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<p>The correlation of each protein in OPMDs. In OPMDs, (<b>a</b>) p62 and ki67 were negatively correlated. (<b>b</b>) p62 in the cytoplasm and ki67, (<b>c</b>) p62 in the cytoplasm and XPO1; (<b>d</b>) XPO1 and ki67, and (<b>e</b>) XPO1 and p53 showed a positive correlation.</p>
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<p>Diagram of the relationship between p62, XPO1, and autophagy in OPMDs as predicted by the results herein. The Keap1–Nrf2 complex separates in the presence of p62, Keap1 binds tightly to p62, and the activated Nrf2 translocate to the nucleus. In the nucleus, Nrf2 induces the expression of several target genes, including p62. Nuclear p62 binds XPO1 and translocate to the cytoplasm. Normally, polyubiquitinated proteins are digested together with p62 by selective autophagy, and p62 is thought to accumulate due to impaired autophagy.</p>
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