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Search Results (385)

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14 pages, 2139 KiB  
Article
Effects of Straw at Different Fermentation Phases on Soil Nutrient Availability and Microbial Activity
by Tian Chen, Yuxia Mei, Xinwei Liu, Zhuqing Zhao and Yunxiang Liang
Agronomy 2024, 14(12), 3005; https://doi.org/10.3390/agronomy14123005 - 17 Dec 2024
Viewed by 329
Abstract
Returning corn straw to the field is beneficial for improving soil fertility, but the fermentation phase significantly affects the dissolved organic carbon (DOC) content. However, there is limited research on the effects of straw at different fermentation phases on soil microorganisms and soil [...] Read more.
Returning corn straw to the field is beneficial for improving soil fertility, but the fermentation phase significantly affects the dissolved organic carbon (DOC) content. However, there is limited research on the effects of straw at different fermentation phases on soil microorganisms and soil nutrients. This study examined the effects of high-temperature fermentation phase straw (HF) and completely fermentation phase straw (CF) on soil nutrient activation and microorganism activity through pot experiments. The pot experiment results indicated a significant increase in soil DOC content following the application of corn straw, among which the high-temperature fermentation phase straw treatment (THF) exhibited the highest DOC content, which was 14% higher than the completely fermentation phase straw treatment (TCF). THF also significantly increased soil alkaline hydrolyzed nitrogen and available phosphorus content as well as urease and phosphatase, and promoted the uptake of nitrogen and phosphorus from soil by Brassica chinensis. THF significantly enhanced bacterial diversity and reduced the presence of pathogenic fungi. Compared to the TCF, the relative proportion of Fusarium under the THF decreased by 32.24%, effectively mitigating the impact of pathogenic fungi. THF also increased soil DOC content, enriched beneficial microbial community structure, increased soil enzyme activity, activated soil nutrients, thereby promoting the uptake of nitrogen and phosphorus by crops. Taken together, the results reveal that the application of high-temperature fermentation phase straw is conducive to soil fertilization and crop growth. Full article
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Figure 1

Figure 1
<p>Temporal changes of composting temperature (<b>a</b>), DOC content (<b>b</b>), and TOC content (<b>c</b>) during the corn straw compost. DOC, dissolved organic carbon; TOC, total organic carbon.</p>
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<p>Plant biomass of <span class="html-italic">B. chinensis</span> under different treatments. Note: T<sub>CK</sub>, control with no straw; T<sub>UF</sub>, treatment with unfermented straw; T<sub>HF</sub>, treatment with high-temperature fermentation phase straw; T<sub>CF</sub>, treatment with completely fermentation phase straw. Different lowercase letters above the bars indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) according to Tukey’s HSD test.</p>
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<p>Soil alkali-hydrolyzed nitrogen (AN) (<b>a</b>), urease (<b>b</b>), available phosphorus (AP) (<b>c</b>), phosphatase (<b>d</b>), AK (available potassium) (<b>e</b>), TOC (<b>f</b>) and DOC (<b>g</b>) under different treatments. Note: T<sub>CK</sub>, control with no straw; T<sub>UF</sub>, treatment with unfermented straw; T<sub>HF</sub>, treament with high-temperature fermentation phase straw; T<sub>CF</sub>, treatment with completely fermentation phase straw. Different lowercase letters above the bars indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) according to Tukey’s HSD test.</p>
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<p>Effects of different treatments on the growth of <span class="html-italic">Bacillus subtilis</span>. Note: T<sub>CK</sub>, control with no straw; T<sub>UF</sub>, treatment with unfermented straw; T<sub>HF</sub>, treament with high-temperature fermentation phase straw; T<sub>CF</sub>, treatment with completely fermentation phase straw. Different lowercase letters above the bars indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) according to Tukey’s HSD test.</p>
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<p>Changes in soil bacterial (<b>a</b>) and fungal (<b>b</b>) α-diversity in soil under different treatments represented by Chao1 and Shannon indices. Non-metric multidimensional scaling (NMDS) of bacterial (<b>c</b>) and fungal (<b>d</b>) community composition of soil samples. Note: T<sub>CK</sub>, control with no straw; T<sub>UF</sub>, treatment with unfermented straw; T<sub>HF</sub>, treament with high-temperature fermentation phase straw; T<sub>CF</sub>, treatment with completely fermentation phase straw.</p>
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<p>Soil bacterial (<b>A</b>) and fungal (<b>B</b>) composition at genus level under 4 different straw treatments. Note: T<sub>CK</sub>, control with no straw; T<sub>UF</sub>, treatment with unfermented straw; T<sub>HF</sub>, treament with high-temperature fermentation phase straw; T<sub>CF</sub>, treatment with completely fermentation phase straw.</p>
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<p>(<b>a</b>–<b>d</b>) Relative proportion of 4 different bacterial genera under different treatments. (<b>e</b>–<b>h</b>) Relative proportion of 4 different fungal genera under different treatments. Note: T<sub>CK</sub>, control with no straw; T<sub>UF</sub>, treatment with unfermented straw; T<sub>HF</sub>, treament with high-temperature fermentation phase straw; T<sub>CF</sub>, treatment with completely fermentation phase straw. Different lowercase letters above the bars indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) according to Tukey’s HSD test.</p>
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<p>Redundancy analysis (RDA) of soil physicochemical properties with the soil bacterial (<b>a</b>) and fungal (<b>b</b>) proportion under different straw treatments. Note: T<sub>CK</sub>, control with no straw; T<sub>UF</sub>, treatment with unfermented straw; T<sub>HF</sub>, treament with high-temperature fermentation phase straw; T<sub>CF</sub>, treatment with completely fermentation phase straw. The length of arrows presents the magnitude of correlation between environmental factors and bacterial community structure. The direction of arrows presents the variation tendency of environmental factors.</p>
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33 pages, 6495 KiB  
Review
A Review of Transparent Conducting Films (TCFs): Prospective ITO and AZO Deposition Methods and Applications
by Jessica Patel, Razia Khan Sharme, Manuel A. Quijada and Mukti M. Rana
Nanomaterials 2024, 14(24), 2013; https://doi.org/10.3390/nano14242013 - 14 Dec 2024
Viewed by 491
Abstract
This study offers a comprehensive summary of the current states as well as potential future directions of transparent conducting oxides (TCOs), particularly tin-doped indium oxide (ITO), the most readily accessible TCO on the market. Solar cells, flat panel displays (FPDs), liquid crystal displays [...] Read more.
This study offers a comprehensive summary of the current states as well as potential future directions of transparent conducting oxides (TCOs), particularly tin-doped indium oxide (ITO), the most readily accessible TCO on the market. Solar cells, flat panel displays (FPDs), liquid crystal displays (LCDs), antireflection (AR) coatings for airbus windows, photovoltaic and optoelectronic devices, transparent p–n junction diodes, etc. are a few of the best uses for this material. Other conductive metals that show a lot of promise as substitutes for traditional conductive materials include copper, zinc oxide, aluminum, silver, gold, and tin. These metals are also utilized in AR coatings. The optimal deposition techniques for creating ITO films under the current conditions have been determined to be DC (direct current) and RF (radio frequency) MS (magnetron sputtering) deposition, both with and without the introduction of Ar gas. When producing most types of AR coatings, it is necessary to obtain thicknesses of at least 100 nm and minimum resistivities on the order of 10−4 Ω cm. For AR coatings, issues related to less-conductive materials than ITO have been considered. Full article
(This article belongs to the Section Nanophotonics Materials and Devices)
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Figure 1

Figure 1
<p>Schematic diagram of the e-beam evaporation system used to deposit ITO films. Reproduced from with permission from the copyright clearance center.</p>
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<p>The XRD patterns for the phase analysis of the ITO on Si films (<b>A</b>) as deposited and post-annealed at (<b>B</b>) 500 °C, (<b>C</b>) 600 °C, and (<b>D</b>) 700 °C. Reproduced from [<a href="#B37-nanomaterials-14-02013" class="html-bibr">37</a>] with permission from the copyright clearance center.</p>
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<p>Transmittance spectra for the ITO thin films as deposited and after annealing are displayed. Reproduced from [<a href="#B37-nanomaterials-14-02013" class="html-bibr">37</a>] with permission from the copyright clearance center.</p>
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<p>ITO’s electrical resistivity was measured, and its relationship to the post-annealing temperature was determined. Reproduced from [<a href="#B37-nanomaterials-14-02013" class="html-bibr">37</a>] with permission from the copyright clearance center.</p>
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<p>At three distinct post-annealing temperatures, surface roughness was measured for ITO thin films on Si using 3D AFM: (<b>a</b>) as deposited, (<b>b</b>) 500 °C, (<b>c</b>) 600 °C, and (<b>d</b>) 700 °C. Reproduced from [<a href="#B37-nanomaterials-14-02013" class="html-bibr">37</a>] with permission from the copyright clearance center.</p>
Full article ">Figure 5 Cont.
<p>At three distinct post-annealing temperatures, surface roughness was measured for ITO thin films on Si using 3D AFM: (<b>a</b>) as deposited, (<b>b</b>) 500 °C, (<b>c</b>) 600 °C, and (<b>d</b>) 700 °C. Reproduced from [<a href="#B37-nanomaterials-14-02013" class="html-bibr">37</a>] with permission from the copyright clearance center.</p>
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<p>ITO films’ XRD patterns after being deposited and heated to various temperatures (<b>a</b>) in air and (<b>b</b>) under vacuum. Reproduced from [<a href="#B2-nanomaterials-14-02013" class="html-bibr">2</a>] with permission from the copyright clearance center.</p>
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<p>The transmittance spectra of the ITO thin films under diverse environmental conditions, including (<b>a</b>) in air and (<b>b</b>) under vacuum, at different temperatures during deposition and annealing. Reproduced from [<a href="#B2-nanomaterials-14-02013" class="html-bibr">2</a>] with permission from the copyright clearance center.</p>
Full article ">Figure 8
<p>Transmittances (%T) and resistivities (%R) of (<b>a</b>) Asahi ITO film and (<b>b</b>) conventional sol–gel ITO film (were measured and fitted. Reproduced from [<a href="#B45-nanomaterials-14-02013" class="html-bibr">45</a>] with permission from the copyright clearance center.</p>
Full article ">Figure 9
<p>Electrical resistivity and mobility (μ) spectra were calculated from the fit of the optical data in <a href="#nanomaterials-14-02013-f010" class="html-fig">Figure 10</a>b. Reproduced from [<a href="#B45-nanomaterials-14-02013" class="html-bibr">45</a>] with permission from the copyright clearance center.</p>
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<p>The heated ITO films’ XRD patterns, which were made from an aqueous solution with r = 0.030–0.15, are as follows: (<b>a</b>) from 20 to 60° and (<b>b</b>) from 28 to 33°. Reproduced from [<a href="#B44-nanomaterials-14-02013" class="html-bibr">44</a>] with permission from the copyright clearance center.</p>
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<p>Optical transmittance (%T) spectra (<b>a</b>) and annealing-temperature-dependent optical transmittance and bandgap (<b>b</b>,<b>c</b>) of inkjet-printed ITO thin films annealed at various temperatures. Reproduced from [<a href="#B47-nanomaterials-14-02013" class="html-bibr">47</a>] with permission from the copyright clearance center.</p>
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<p>XRD patterns of glass, ITO/NP–glass samples, and ITO/glass. Reproduced from [<a href="#B48-nanomaterials-14-02013" class="html-bibr">48</a>] with permission from the copyright clearance center.</p>
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<p>Variations in resistivity with substrate temperature for ITO films. Reproduced from [<a href="#B43-nanomaterials-14-02013" class="html-bibr">43</a>] with permission from copyright clearance center.</p>
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<p>XRD patterns of the AZO/Ag/AZO multilayer stacks on mica sheets at different annealing temperatures. Reproduced from [<a href="#B38-nanomaterials-14-02013" class="html-bibr">38</a>] with permission from the copyright clearance center.</p>
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<p>The AZO/Ag/AZO films’ optical transmittance (%T) spectra recorded at various annealing temperatures and for the as-deposited sample. Reproduced from [<a href="#B55-nanomaterials-14-02013" class="html-bibr">55</a>] with permission from the copyright clearance center.</p>
Full article ">Figure 16
<p>Resistivity and FOM values of AZO/Ag/AZO films for the as-deposited sample and different annealing temperatures. Reproduced from [<a href="#B55-nanomaterials-14-02013" class="html-bibr">55</a>] with permission from the copyright clearance center.</p>
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<p>Resistivity spatial distribution as a function of the film thickness for AZO thin films produced by RF-DC with H2 injection. Reproduced from [<a href="#B49-nanomaterials-14-02013" class="html-bibr">49</a>] with permission from the copyright clearance center.</p>
Full article ">Figure 18
<p>Resistivities of AZO films, made with different thicknesses via PLD, as a function of the exposure duration. Reproduced from [<a href="#B49-nanomaterials-14-02013" class="html-bibr">49</a>] with permission from the copyright clearance center.</p>
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17 pages, 2210 KiB  
Article
TCF12 and LncRNA MALAT1 Cooperatively Harness High Cyclin D1 but Low β-Catenin Gene Expression to Exacerbate Colorectal Cancer Prognosis Independently of Metastasis
by Chia-Ming Wu, Chung-Hsing Chen, Kuo-Wang Tsai, Mei-Chen Tan, Fang-Yu Tsai, Shih-Sheng Jiang, Shang-Hung Chen, Wei-Shone Chen, Horng-Dar Wang and Tze-Sing Huang
Cells 2024, 13(24), 2035; https://doi.org/10.3390/cells13242035 - 10 Dec 2024
Viewed by 512
Abstract
Metastasis is a well-known factor worsening colorectal cancer (CRC) prognosis, but mortality mechanisms in non-metastatic patients with poor outcomes are less understood. TCF12 is a transcription factor that can be physically associated with the long non-coding RNA MALAT1, creating an alliance with correlated [...] Read more.
Metastasis is a well-known factor worsening colorectal cancer (CRC) prognosis, but mortality mechanisms in non-metastatic patients with poor outcomes are less understood. TCF12 is a transcription factor that can be physically associated with the long non-coding RNA MALAT1, creating an alliance with correlated expression levels in CRC patients. This TCF12–MALAT1 alliance is linked to poorer prognosis independently of age and metastasis. To identify the downstream effects responsible for this outcome, we analyzed 2312 common target genes of TCF12 and MALAT1, finding involvement in pathways like Aurora B, ATM, PLK1, and non-canonical WNT. We investigated the impact of WNT downstream genes CTNNB1 and CCND1, encoding β-catenin and cyclin D1, respectively, on survival in CRC patients with this alliance. Tumors with higher TCF12 and MALAT1 gene expressions alongside increased β-catenin gene expressions were classified as having a “Pan-CMS-2 pattern”, showing relatively better prognoses. Conversely, tumors with high TCF12, MALAT1, and cyclin D1 gene expressions but low β-catenin expression were categorized as “TMBC pattern”, associated with poor survival, with survival rates dropping sharply from 60% at one year to 30% at three years. This suggests that targeting cyclin D1-associated CDK4/6 could potentially reduce early mortality risks in TMBC patients, supporting personalized medicine approaches. Full article
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Figure 1
<p>TCF12 cooperates with MALAT1 to exacerbate CRC prognosis. (<b>A</b>) Identification of MALAT1 as a TCF12-associated lncRNA by RNA immunoprecipitation (IP) and sequencing. After immunoblot analysis to confirm that TCF12 was specifically immunoprecipitated by the anti-TCF12 antibody from the lysate of SW620 cells, the anti-TCF12 immunoprecipitates were further subjected to the procedures of RNA extraction and next-generation sequencing. Several TCF12-associated lncRNAs were annotated after the sequence alignment analyses with NCBI and Ensembl databases. (<b>B</b>) Validation of MALAT1 as a TCF12-associated lncRNA. MALAT1 was detected by RT-PCR from the RNA sample isolated from the anti-TCF12 immunoprecipitates of SW620 cells. (<b>C</b>) ESTIMATE algorithm was used to estimate the tumor purities of the CRC specimens employed by the GA and HiSeq platforms of the TCGA-COAD dataset. (<b>D</b>) Univariate Cox regression analyses showing that age, metastasis, and expression levels of TCF12 mRNA and MALAT1 under an alliance but not alone were significantly associated with patients’ shorter overall survival outcomes. The interaction term of TCF12 mRNA and MALAT1 expression levels, designated as “TCF12 × MALAT1”, was represented as three covariates in a multivariate Cox regression analysis: TCF12 mRNA expression level (designated as “TCF12”), MALAT1 expression level (designated as “MALAT1”), and the multiplication of TCF12 mRNA and MALAT1 expression levels (designated as “TCF12 ⦁ MALAT1”). (<b>E</b>) Multivariate Cox regression analysis showing that the association of the TCF12–MALAT1 alliance with CRC poorer prognosis remained statistically significant after adjusting for patients’ age and tumor metastasis.</p>
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<p>The TCF12–MALAT1 alliance is associated with <span class="html-italic">β-catenin</span>-independent <span class="html-italic">cyclin D1</span> expression. (<b>A</b>) A group of 2312 genes, designated as TCF12 and MALAT1 common target genes, were obtained by examining the overlap between the total 15,373 genes identified from anti-TCF12 ChIP and DNA sequencing [<a href="#B3-cells-13-02035" class="html-bibr">3</a>] and the list of 2650 MALAT1 target genes of the UALCAN website (University of Alabama at Birmingham) [<a href="#B45-cells-13-02035" class="html-bibr">45</a>]. They include <span class="html-italic">WNT2B</span>, <span class="html-italic">β-catenin</span>, <span class="html-italic">cyclin D1</span>, and <span class="html-italic">c-myc</span> genes. (<b>B</b>) The 2312 genes were analyzed by MGSA signal pathway enrichment. The significantly enriched pathways contain the non-canonical WNT pathway. (<b>C</b>) Pearson’s correlation analyses of the levels of TCF12 mRNA, MALAT1, β-catenin mRNA, cyclin D1 mRNA, and c-Myc mRNA in all 193 patients or the different subsets of patients classified based on the CMS criteria. (<b>D</b>) Kaplan–Meier OS curves of the 184 TCGA-COAD (GA) patients classified into 4 subtypes of the CMS system. The CMS-2 patients exhibited a better prognosis, but the CMS-1 and CMS-4 patients had relatively low OS rates. (<b>E</b>) The expression statuses of β-catenin and cyclin D1 mRNA in different CMS subtypes of the 59 patients with higher levels (&gt;median) of TCF12 mRNA and MALAT1 expressions (designated as “TCF12<sup>hi</sup>MALAT1<sup>hi</sup>”). The CMS-2 patients trended to express higher levels (&gt;median) of β-catenin mRNA but not cyclin D1 mRNA; however, other subtypes of patients seemed to express higher levels (&gt;median) of cyclin D1 mRNA instead of β-catenin mRNA.</p>
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<p><span class="html-italic">β-catenin</span> and <span class="html-italic">cyclin D1</span> gene expression affect the association of the TCF12–MALAT1 alliance with CRC patients’ poorer survival outcomes. (<b>A</b>) Kaplan–Meier OS curves of the 61 TCGA-COAD (GA) TCF12<sup>hi</sup>MALAT1<sup>hi</sup> patients who were divided into two groups based on the β-catenin mRNA expression level &gt; or ≤ median. Low β-catenin mRNA expression was significantly associated with shorter OS in the TCF12<sup>hi</sup>MALAT1<sup>hi</sup> patients (<span class="html-italic">p</span> = 0.004 by the log-rank test). (<b>B</b>) Kaplan–Meier OS curves of the 193 TCGA-COAD (GA) patients who were divided into two groups based on the patients with or without the status of higher TCF12 mRNA expression, higher MALAT1 expression, but low β-catenin mRNA expression (designated as “TCF12<sup>hi</sup>MALAT1<sup>hi</sup>β-catenin<sup>lo</sup>”). The patients with the TCF12<sup>hi</sup>MALAT1<sup>hi</sup>β-catenin<sup>lo</sup> expression status significantly exhibited a poorer prognosis when compared with other patients (<span class="html-italic">p</span> = 0.017 by the log-rank test). (<b>C</b>) Kaplan–Meier OS curves of the 61 TCGA-COAD (GA) TCF12<sup>hi</sup>MALAT1<sup>hi</sup> patients who were divided into two groups based on the cyclin D1 mRNA expression level &gt; or ≤ median. The patients with high cyclin D1 mRNA expression had a worse OS rate (<span class="html-italic">p</span> = 0.041 by the log-rank test). (<b>D</b>) Kaplan–Meier OS curves of the 193 TCGA-COAD (GA) patients who were divided into two groups based on the patients with or without the status of higher TCF12 mRNA expression, MALAT1 expression, and cyclin D1 mRNA expression (designated as “TCF12<sup>hi</sup>MALAT1<sup>hi</sup>cyclin D1<sup>hi</sup>”). The patients’ OS between the two groups showed no significant difference.</p>
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<p>The TCF12–MALAT1 alliance exacerbates CRC prognosis via low <span class="html-italic">β-catenin</span> but high <span class="html-italic">cyclin D1</span> gene expression. (<b>A</b>) Kaplan–Meier OS curves of the 33 TCGA-COAD (GA) TCF12<sup>hi</sup>MALAT1<sup>hi</sup>β-catenin<sup>hi</sup> patients who were divided into two groups based on the cyclin D1 mRNA expression level&gt; or ≤median. High cyclin D1 mRNA expression did not significantly worsen the OS of TCF12<sup>hi</sup>MALAT1<sup>hi</sup>β-catenin<sup>hi</sup> patients. (<b>B</b>) Kaplan–Meier OS curves of the 28 TCGA-COAD (GA) TCF12<sup>hi</sup>MALAT1<sup>hi</sup>β-catenin<sup>lo</sup> patients who were divided into 2 groups based on the cyclin D1 mRNA expression level&gt; or ≤median. High cyclin D1 mRNA expression rendered the TCF12<sup>hi</sup>MALAT1<sup>hi</sup>β-catenin<sup>lo</sup> patients prone to shorter survival. (<b>C</b>) Kaplan–Meier OS curves of the 193 TCGA-COAD (GA) patients who were divided into two groups based on the patients with or without the status of higher TCF12 mRNA expression, higher MALAT1 expression, low β-catenin mRNA expression, and higher cyclin D1 mRNA expression (designated as “TCF12<sup>hi</sup>MALAT1<sup>hi</sup>β-catenin<sup>lo</sup>cyclin D1<sup>hi</sup>” or “TMBC pattern”). The patients with the TMBC pattern significantly exhibited a poorer prognosis when compared with other patients (<span class="html-italic">p</span> &lt; 0.001 by the log-rank test). (<b>D</b>) Univariate and multivariate Cox regression analyses showing that the TMBC pattern is a metastasis-independent prognostic factor with an even higher hazard ratio. (<b>E</b>) A nomogram arose based on the effect levels of TMBC vs. metastasis on the OS of 193 TCGA-COAD (GA) patients. When the TMBC score was 100, metastasis reached a score of 83, suggesting that the TMBC pattern serves as a higher risk factor rather than metastasis. (<b>F</b>) Kaplan–Meier RFS curves of the 193 TCGA-COAD (GA) patients who were divided into two groups based on the patients with or without the TMBC pattern. The patients with the TMBC pattern significantly exhibited a shorter RFS outcome when compared with other patients (<span class="html-italic">p</span> = 0.024 by the log-rank test).</p>
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<p>A schematic illustration summarizing our studies of whether the TCF12–MALAT1 alliance and its downstream β-catenin and cyclin D1 determine a good or poor CRC prognosis. TCF12 is a transcriptional factor involved in numerous cellular processes. MALAT1 is a long lncRNA that can form a complex with TCF12, creating an alliance with correlated expression levels in CRC patients. This TCF12–MALAT1 alliance is linked to poorer prognosis independently of age and metastasis status. To identify the downstream factors/events responsible for this outcome, we analyzed 2312 common target genes of TCF12 and MALAT1 through MGSA pathway enrichment analysis, finding involvement in pathways like Aurora B, ATM, PLK1, and non-canonical WNT. We further investigated the impact of WNT downstream genes <span class="html-italic">β-catenin</span> and <span class="html-italic">cyclin D1</span> on survival in CRC patients with the TCF12–MALAT1 alliance. Our analysis of the TCGA-COAD (GA) dataset revealed that 61 out of 193 patients had tumors with the “TCF12<sup>hi</sup>MALAT1<sup>hi</sup>” expression status. Furthermore, 33 out of 61 patients had higher β-catenin mRNA levels in tumors. They were classified as having a “Pan-CMS-2 pattern” and exhibited better survival outcomes. For the other 28 patients with low expression levels of β-catenin mRNA in tumors, 16 out of them expressed higher levels of cyclin D1 mRNA in tumors, i.e., the “TCF12<sup>hi</sup>MALAT1<sup>hi</sup>β-catenin<sup>lo</sup>cyclin D1<sup>hi</sup>” expression status or the so-called “TMBC pattern”. They exhibited poorer RFS and OS outcomes independently of metastasis. Early tumor recurrence seemed to be a mortality risk to these TMBC patients.</p>
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11 pages, 257 KiB  
Article
Genetic Associations of TCF7L2 (rs7903146) and PPARG (rs1801282) with Prediabetes in the Ethnic Kazakh Population
by Azhar Dyussupova, Gulnara Svyatova, Galina Berezina, Altay Dyussupov, Bauyrzhan Omarkulov, Anastassiya Dzharmukhametova, Oxana Yurkovskaya, Venera Akhmetova and Asylzhan Dyussupova
Diagnostics 2024, 14(24), 2769; https://doi.org/10.3390/diagnostics14242769 - 10 Dec 2024
Viewed by 431
Abstract
Background: This study aims to investigate the genetic contribution of polymorphic variants of the TCF7L2 (rs7903146) and PPARG (rs1801282) genes to the risk of developing prediabetes in individuals of Kazakh ethnicity. Materials and Methods: This was a case-control study [...] Read more.
Background: This study aims to investigate the genetic contribution of polymorphic variants of the TCF7L2 (rs7903146) and PPARG (rs1801282) genes to the risk of developing prediabetes in individuals of Kazakh ethnicity. Materials and Methods: This was a case-control study involving 200 cases with prediabetes and 200 prediabetes-free controls, aged 16–60 years (n = 400). Real-time polymerase chain reaction on a StepOnePlus instrument (Applied Biosystems, USA), employing the TaqMan method for site-specific amplification and genotyping of the TCF7L2 (rs7903146) and PPARG (rs1801282) genes was used. Results: Patients with prediabetes had a higher birth weight, increased BMI, larger waist and hip circumferences, and a higher waist-to-hip ratio compared to healthy patients in the control group. There was a significant increase in the risk of developing prediabetes for both the rs1801282 polymorphism of the PPARG gene and the rs7903146 polymorphism of the TCF7L2 gene. The risk was 9.8 times higher in carriers of the GG genotype of PPARG (rs1801282) (OR = 9.769, 95% CI: 2.124–44.922, p = 0.003) and 10.7 times higher for carriers of the TT genotype of TCF7L2 (rs7903146) (OR = 10.731, 95% CI: 1.309–87.939, p < 0.001). Conclusions: These findings highlight the need for tailored early screening and preventive strategies for prediabetes in the Kazakh population, focusing on individuals with high-risk genotypes. Such efforts could improve targeted interventions and reduce the burden of prediabetes. Future research should adopt a longitudinal design, include diverse ethnic groups, and investigate additional genetic markers to provide a more comprehensive understanding of the genetic underpinnings of prediabetes. Full article
(This article belongs to the Section Clinical Diagnosis and Prognosis)
15 pages, 6631 KiB  
Article
Genome-Wide Association Study of Birth Wool Length, Birth Weight, and Head Color in Chinese Tan Sheep Through Whole-Genome Re-Sequencing
by Lina Ma, Wei Zhao, Qing Ma, Jin Wang, Zhengwei Zhao, Juan Zhang and Yaling Gu
Animals 2024, 14(23), 3495; https://doi.org/10.3390/ani14233495 - 3 Dec 2024
Viewed by 447
Abstract
The Chinese Tan sheep is a unique breed of sheep that is typical throughout China, mainly used for fur and meat production. They are widely distributed in northwestern China and are famous for their lambskin and shiny white curly wool. In this study, [...] Read more.
The Chinese Tan sheep is a unique breed of sheep that is typical throughout China, mainly used for fur and meat production. They are widely distributed in northwestern China and are famous for their lambskin and shiny white curly wool. In this study, the phenotypic traits of wool length, birth weight, and head coat color were evaluated in 256 Chinese Tan sheep breeds. Whole genome sequencing generated 23.67 million high-quality SNPs for genome-wide association studies (GWAS). We identified 208 significant SNPs associated with birth wool length, implicating RAD50, MACROD2, SAMD5, SASH1, and SPTLC3 as potential candidate genes for this trait. For birth weight, 1056 significant SNPs, with 76.89% of them located on chromosome 2, were identified by GWAS, and XPA, INVS, LOC121818504, GABBR2, LOC101114941, and LOC106990096 were identified as potential candidate genes for birth weight. The GWAS for head coat color identified 1424 significant SNPs across three chromosomes, with 99.65% on chromosome 14, and SPIRE2, TCF25, and MC1R as candidate genes were found to be possibly involved in the development of the black-headed coat color in sheep. Furthermore, we selected head coat color as a representative trait and performed an independent test of our GWAS findings through multiplex PCR SNP genotyping. The findings validated five mutation sites in chromosome 14 (14,251,947 T>A, 14,252,090 G>A, 14,252,158 C>T, 14,252,329 T>G, and 14,252,464 C>T) within the exon1 of the MC1R gene (517 bp), as identified by GWAS in an additional 102 Tan sheep individuals, and revealed that black-headed sheep predominantly exhibited heterozygous genotypes, possibly contributing to their color change. Our results provide a valuable foundation for further study of these three economically important traits, and enhance our understanding of genetic structure and variation in Chinese Tan sheep. Full article
(This article belongs to the Special Issue The Role of Genetics and Breeding in Livestock Management)
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<p>Phenotypic data and SNP type distribution in Chinese Tan sheep. (<b>A</b>) Black-headed and white Tan sheep from the Chinese population. (<b>B</b>) Violin plot showing the distribution of birth wool length and birth weight across all samples. (<b>C</b>) Sample numbers with different head coat color.</p>
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<p>SNPs distribution in Chinese Tan sheep. (<b>A</b>) Distribution of SNPs in chromosome. (<b>B</b>) Minor allele frequency (MAF) spectrum of the identified SNPs. (<b>C</b>) Total number of SNPs (in millions) identified in different genomic regions, (<b>D</b>) The count of SNPs for types other than the top three. Each bar represents each individual samples.</p>
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<p>Population structure and linkage disequilibrium (LD) decay. (<b>A</b>) Principal component analysis (PCA) of Tan sheep used. (<b>B</b>) Linkage disequilibrium (LD) decay curve indicating the genomic regions under selection pressure.</p>
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<p>Genome-wide association study (GWAS) results for birth wool length. (<b>A</b>) Manhattan plot illustrating significant SNPs associated with birth wool length. The solid line represents a significant locus and the dashed line represents an extremely significant locus. (<b>B</b>) Q–Q plot for birth wool length. (<b>C</b>) The most significant SNPs distribution region on chromosome 8. (<b>D</b>) The most significant SNPs distribution region on chromosome 13.</p>
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<p>Genome-wide association study (GWAS) results for birth weight. (<b>A</b>) Manhattan plot illustrating significant SNPs associated with birth weight. The solid line represents a significant locus and the dashed line represents an extremely significant locus. (<b>B</b>) Q–Q plot for birth weight. (<b>C</b>) LD block for significant SNPs in the XPA gene region. (<b>D</b>) LD block for significant SNPs in the INVS gene region. (<b>E</b>) The dot plot shows the top 10 enriched GO terms related to biological process associated with birth weight. (<b>F</b>) The dot plot shows the top 10 enriched KEGG pathways for genes associated with birth weight.</p>
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<p>Genome-wide association study (GWAS) results for head coat color. (<b>A</b>) Manhattan plot illustrating significant SNPs associated with head coat color. The solid line represents a significant locus and the dashed line represents an extremely significant locus. (<b>B</b>) Q–Q plot for the color of black-headed sheep. (<b>C</b>) LD block for the most significant SNPs in the <span class="html-italic">SPIRE2</span>, <span class="html-italic">TCF25</span>, and <span class="html-italic">MC1R</span> gene regions. The shaded marker represents the gene body regions. (<b>D</b>) LD block for significant SNPs in the <span class="html-italic">MC1R</span> gene region. (<b>E</b>) The dot plot shows the top 10 enriched GO terms related to biological processes associated with head coat color. (<b>F</b>) The dot plot shows the top 10 enriched KEGG pathways for genes associated with head coat color.</p>
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<p>Independent validation of five candidate SNPs associated with head coat color. (<b>A</b>) Genotyping results of 51 sheep with black wool color. (<b>B</b>) Genotyping results of 51 sheep with white wool color. White box in heatmap indicates the 0/0 genotype, with no mutation; blue indicates the 0/1 genotype, with heterozygous mutation; red indicates the 1/1 genotype, with homozygous mutation. The numbers below the heatmap represent the SNPs located at different positions on chromosome 2.</p>
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11 pages, 3029 KiB  
Article
Laterally Excited Resonators Based on Single-Crystalline LiTaO3 Thin Film for High-Frequency Applications
by Chongrui Guan and Xingli He
Micromachines 2024, 15(12), 1416; https://doi.org/10.3390/mi15121416 - 26 Nov 2024
Viewed by 433
Abstract
High-performance acoustic resonators based on single-crystalline piezoelectric thin films have great potential in wireless communication applications. This paper presents the modeling, fabrication, and characterization of laterally excited bulk resonators (XBARs) utilizing the suspended ultra-thin (~420 nm) LiTaO3 (LT, with 42° YX-cut) film. [...] Read more.
High-performance acoustic resonators based on single-crystalline piezoelectric thin films have great potential in wireless communication applications. This paper presents the modeling, fabrication, and characterization of laterally excited bulk resonators (XBARs) utilizing the suspended ultra-thin (~420 nm) LiTaO3 (LT, with 42° YX-cut) film. The finite element analysis (FEA) was performed to model the LT-based XBARs precisely and to gain further insight into the physical behaviors of the acoustic waves and the loss mechanisms. In addition, the temperature response of the devices was numerically calculated, showing relatively low temperature coefficients of frequency (TCF) of ~−38 ppm/K for the primary resonant mode. The LT-based XBARs were fabricated and characterized, which presents a multi-resonant mode over a wide frequency range (0.1~10 GHz). For the primary resonance around 4.1 GHz, the fabricated devices exhibited a high-quality factor (Bode-Q) ~ 600 and piezoelectric coupling (kt2) ~ 2.84%, while the higher-harmonic showed a greater value of kt2 ~ 3.49%. To lower the resonant frequency of the resonator, the thin SiO2 film (~20 nm) was sputtered on the suspended device, which created a frequency offset between the series and shunt resonators. Finally, a ladder-type narrow band filter employing five XBARs was developed and characterized. This work effectively demonstrates the performance and application potential of micro-acoustic resonators employing high-quality LT films. Full article
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<p>(<b>a</b>) Fabrication process flow of LT-based XBARs; (<b>b</b>) SEM image of the resonator before etching the back trench; (<b>c</b>) zoom-in image showing the width of finger pairs; microscope images of the device with a back view (<b>d</b>) and a top view (<b>e</b>).</p>
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<p>(<b>a</b>) 3D geometry of the proposed plate wave resonator using LT thin film with meshed domains, displaying the finite element distribution; the geometry scale is magnified 20 times along the thickness of the thin plate for easier discernment. (<b>b</b>) Comparison of the impedance characteristics between the accurate 3D FEM models and experimental results.</p>
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<p>COMSOL simulation results show the displacement mode shape of the device around the primary resonance; the upper image depicts the displacement mode shape of the truncated strip comprising one finger pair.</p>
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<p>The comparison of the SAW velocities in a bulk crystal and a thin crystalline film of LiTaO<sub>3</sub>.</p>
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<p>Comparison of the impedances of LT thin film-based acoustic resonators under different temperatures.</p>
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<p>(<b>a</b>) The measured admittance (Y<sub>11</sub>) spectrum of the resonator over a wide frequency range. (<b>b</b>) The calculated Bode-Q of the resonator near the primary resonance.</p>
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<p>(<b>a</b>) Microscopy image of the prepared ladder-type filter; the admittance for representative one-port resonator to compose the series (<b>b</b>) and shunt (<b>c</b>) branch of the filter; (<b>d</b>) frequency response of the LT-plate-based filter over a wide frequency range, where the zoom-in images of the transmission (S<sub>21</sub>) and return loss (S<sub>11</sub>) of the filter in the vicinity of the passband was inserted.</p>
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17 pages, 10646 KiB  
Article
Neuronal TCF7L2 in Lateral Habenula Is Involved in Stress-Induced Depression
by Xincheng Li, Xiaoyu Liu, Jiaxin Liu, Fei Zhou, Yunluo Li, Ye Zhao, Xueyong Yin, Yun Shi and Haishui Shi
Int. J. Mol. Sci. 2024, 25(22), 12404; https://doi.org/10.3390/ijms252212404 - 19 Nov 2024
Viewed by 632
Abstract
Depression is a complex psychiatric disorder that has substantial implications for public health. The lateral habenula (LHb), a vital brain structure involved in mood regulation, and the N-methyl-D-aspartate receptor (NMDAR) within this structure are known to be associated with depressive behaviors. Recent research [...] Read more.
Depression is a complex psychiatric disorder that has substantial implications for public health. The lateral habenula (LHb), a vital brain structure involved in mood regulation, and the N-methyl-D-aspartate receptor (NMDAR) within this structure are known to be associated with depressive behaviors. Recent research has identified transcription factor 7-like 2 (TCF7L2) as a crucial transcription factor in the Wnt signaling pathway, influencing diverse neuropsychiatric processes. In this study, we explore the role of TCF7L2 in the LHb and its effect on depressive-like behaviors in mice. By using behavioral tests, AAV-mediated gene knockdown or overexpression, and pharmacological interventions, we investigated the effects of alterations in TCF7L2 expression in the LHb. Our results indicate that TCF7L2 expression is reduced in neurons within the LHb of male ICR mice exposed to chronic mild stress (CMS), and neuron-specific knockdown of TCF7L2 in LHb neurons leads to notable antidepressant activity, as evidenced by reduced immobility time in the tail suspension test (TST) and forced swimming test (FST). Conversely, the overexpression of TCF7L2 in LHb neurons induces depressive behaviors. Furthermore, the administration of the NMDAR agonist NMDA reversed the antidepressant activity of TCF7L2 knockdown, and the NMDAR antagonist memantine alleviated the depressive behaviors induced by TCF7L2 overexpression, indicating the involvement of NMDAR. These findings offer novel insights into the molecular mechanisms of depression, highlighting the potential of TCF7L2 as both a biomarker and a therapeutic target for depression. Exploring the relationship between TCF7L2 signaling and LHb function may lead to innovative therapeutic approaches for alleviating depressive symptoms. Full article
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<p>TCF7L2 in LHb neurons was downregulated in CMS mice. (<b>A</b>) Timeline of the CMS and behavioral tests, including the OFT, the TST, the EPM, the FST, and the SPT. (<b>B</b>) Time spent in the center in the OFT, mean of Naive: 30.98, mean of CMS: 18.46. (<b>C</b>) Total distance traveled during the OFT, mean of Naive: 2773, mean of CMS: 3258. (<b>D</b>) Latency to the first immobility in the TST, mean of Naive: 108.07, mean of CMS: 106.71. (<b>E</b>) Total immobility time in the TST, mean of Naive: 51.2, mean of CMS: 138.1. (<b>F</b>) Time spent in the open arms in the EPM, mean of Naive: 54.63, mean of CMS: 42.79. (<b>G</b>) Latency to the first floating in the FST, mean of Naive: 96.36, mean of CMS: 85.21. (<b>H</b>) Total floating time in the FST, mean of Naive: 93, mean of CMS: 139.9. (<b>I</b>) Sucrose preference (%) of SPT, mean of Naive: 75.69, mean of CMS: 61.18, (<b>J</b>,<b>K</b>) Immunofluorescence staining of TCF7L2 in LHb neurons, mean of Naive: 37.34, mean of CMS: 17.47, (red: TCF7L2, green: NeuN, blue: DAPI, scale bar = 50 μm; n = 4). Comparison between the Naive and CMS groups was conducted using T-tests or Mann–Whitney U-tests. Data are expressed as means ± SEM. n = 14 per group. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, versus the Naive group.</p>
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<p>TCF7L2 knockdown in the LHb neurons caused antidepressant activity in mice. (<b>A</b>) Schematic of the experimental design of AAV-mediated TCF7L2 knockdown in the LHb neurons of mice. (<b>B</b>) Verification of TCF7L2 knockdown efficiency using fluorescence staining, mean of AAV-sh-scrambled: 93, mean of AAV-sh-TCF7L2: 139.9 (red: TCF7L2, green: GFP, blue: DAPI, scale bar = 50 μm). (<b>C</b>) Sucrose preference (%) of SPT, mean of AAV-sh-scrambled: 67.24, mean of AAV-sh-TCF7L2: 62.92. (<b>D</b>) Latency to eat in the NSF test, mean of AAV-sh-scrambled: 45.1, mean of AAV-sh-TCF7L2: 19.5. (<b>E</b>) Total intake of food in the NSF test, mean of AAV-sh-scrambled: 0.3667, mean of AAV-sh-TCF7L2: 0.3625. (<b>F</b>) Latency to the first immobility in the TST, mean of AAV-sh-scrambled: 107.2, mean of AAV-sh-TCF7L2: 116.5. (<b>G</b>) Total immobility time in the TST, mean of AAV-sh-scrambled: 66.86, mean of AAV-sh-TCF7L2: 37.53. (<b>H</b>) Latency to the first floating in the FST, mean of AAV-sh-scrambled: 59, mean of AAV-sh-TCF7L2: 104.8. (<b>I</b>) Total floating time in the FST, mean of AAV-sh-scrambled: 125.9, mean of AAV-sh-TCF7L2: 32.81. (<b>J</b>) Time spent in the center in the OFT, mean of AAV-sh-scrambled: 17.17, mean of AAV-sh-TCF7L2: 15.25. (<b>K</b>) Total distance traveled during the OFT, mean of AAV-sh-scrambled: 4039, mean of AAV-sh-TCF7L2: 3870. (<b>L</b>) Recognition index of NOR test, mean of AAV-sh-scrambled: 66.21, mean of AAV-sh-TCF7L2: 62.33. (<b>M</b>) Sniffing index in trial 1 of the three-chamber SIT, mean of AAV-sh-scrambled: 75.78, mean of AAV-sh-TCF7L2: 76.87. (<b>N</b>) Total sniffing time in trial 1 of the three-chamber SIT, mean of AAV-sh-scrambled: 85.82, mean of AAV-sh-TCF7L2: 77.41. (<b>O</b>) Preference index in trial 2 of the three-chamber SIT, mean of AAV-sh-scrambled: 35.31, mean of AAV-sh-TCF7L2: 35.61. (<b>P</b>) Total sniffing time in trial 2 of the three-chamber SIT, mean of AAV-sh-scrambled: 67.45, mean of AAV-sh-TCF7L2: 64.59. (<b>Q</b>) Analysis of the correlation between the total floating time in FST and density of TCF7L2<sup>+</sup> cells in LHb/mm<sup>2</sup>. Comparison between the AAV-sh-Scrambled and AAV-sh-TCF7L2 groups was conducted using the <span class="html-italic">T</span>-test or Mann–Whitney U-test. Data are expressed as means ± SEM. n = 10–23 per group. * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001, versus the AAV-sh-Scrambled group.</p>
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<p>TCF7L2 overexpression in the LHb neurons led to depressive-like behavior in mice. (<b>A</b>) Schematic of the experimental design of AAV-mediated TCF7L2 overexpression in the LHb neurons of mice. (<b>B</b>) Verification of AAV injection point using fluorescence staining, mean of AAV-EGFP: 67.45, mean of AAV-TCF7L2: 64.59 (red: TCF7L2, green: GFP, blue: DAPI, scale bar = 50 μm). (<b>C</b>) Sucrose preference (%) of SPT, mean of AAV-EGFP: 73.5, mean of AAV-TCF7L2: 74. (<b>D</b>) Latency to eat in the NSF test, mean of AAV-EGFP: 45.33, mean of AAV-TCF7L2: 124.27. (<b>E</b>) Total intake of food in the NSF test, mean of AAV-EGFP: 0.22, mean of AAV-TCF7L2: 0.16. (<b>F</b>) Latency to the first immobility in the TST, mean of AAV-EGFP: 97, mean of AAV-TCF7L2:88.06. (<b>G</b>) Total immobility time in the TST, mean of AAV-EGFP: 60.39, mean of AAV-TCF7L2: 98.89. (<b>H</b>) Latency to the first floating in the FST, mean of AAV-EGFP: 87.67, mean of AAV-TCF7L2: 64.11. (<b>I</b>) Total floating time in the FST, mean of AAV-EGFP: 50.06, mean of AAV-TCF7L2: 117.4. (<b>J</b>) Time spent in the center in the OFT, mean of AAV-EGFP: 17.61, mean of AAV-TCF7L2: 17.9. (<b>K</b>) Total distance traveled during the OFT, mean of AAV-EGFP: 2235, mean of AAV-TCF7L2: 2147. (<b>L</b>) Recognition index of NOR test, mean of AAV-EGFP: 59.34, mean of AAV-TCF7L2: 62.5. (<b>M</b>) Sniffing index in trial 1 of the three-chamber SIT, mean of AAV-EGFP: 79.49, mean of AAV-TCF7L2: 82.19. (<b>N</b>) Total sniffing time in trial 1 of the three-chamber SIT, mean of AAV-EGFP: 75.94, mean of AAV-TCF7L2: 78.22. (<b>O</b>) Preference index in trial 2 of the three-chamber SIT, mean of AAV-EGFP: 29.86, mean of AAV-TCF7L2: 25.55. (<b>P</b>) Total sniffing time in trial 2 of the three-chamber SIT, mean of AAV-EGFP: 71.94, mean of AAV-TCF7L2: 76.83. Comparison between the AAV-EGFP and AAV-TCF7L2 groups was conducted using <span class="html-italic">T</span>-test or Mann–Whitney U-test. (<b>Q</b>) Analysis of the correlation between the total floating time in FST and density of TCF7L2<sup>+</sup> cells in LHb/mm<sup>2</sup>. Data are expressed as means ± SEM. n = 18 per group. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, versus the AAV-sh-Scrambled group.</p>
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<p>NMDAR was involved in TCF7L2-mediated depressive-like behavior. (<b>A</b>) Experimental timeline for NMDAR agonist-NMDA administration and behavioral tests. (<b>B</b>) Effects of NMDA administration on latency to the first immobility in the TST with LHb neurons special TCF7L2 knockdown, mean of AAV-sh-scrambled + Saline: 106, mean of AAV-sh-scrambled + NMDA: 111.9, mean of AAV-sh-TCF7L2 + Saline: 111.1, mean of AAV-sh-TCF7L2 + NMDA: 108.8. (<b>C</b>) Total immobility time in the TST, mean of AAV-sh-scrambled + Saline: 57.75, mean of AAV-sh-scrambled + NMDA: 52.45, mean of AAV-sh-TCF7L2 + Saline: 8.143, mean of AAV-sh-TCF7L2 + NMDA: 62.63. (<b>D</b>) Effects of NMDA administration on latency to the first floating in the FST, mean of AAV-sh-scrambled + Saline: 72.36, mean of AAV-sh-scrambled + NMDA: 95.45, mean of AAV-sh-TCF7L2 + Saline: 110.9, mean of AAV-sh-TCF7L2 + NMDA: 102.6. (<b>E</b>) Total floating time in the FST, mean of AAV-sh-scrambled + Saline: 106.1, mean of AAV-sh-scrambled + NMDA: 120.7, mean of AAV-sh-TCF7L2 + Saline: 45, mean of AAV-sh-TCF7L2 + NMDA: 134.7. (<b>F</b>) Experimental timeline for NMDAR antagonist-memantine administration and behavioral tests. (<b>G</b>) Effects of memantine administration on latency to the first immobility in the TST with LHb neurons special TCF7L2 overexpression, mean of AAV-EGFP + Saline: 85.25, mean of AAV-EGFP + Memantine: 88.25, mean of AAV-TCF7L2 + Saline: 50.75, mean of AAV-TCF7L2 + Memantine: 80.05. (<b>H</b>) Total immobility time in the TST, mean of AAV-EGFP + Saline: 79.75, mean of AAV-EGFP + Memantine: 75.38, mean of AAV-TCF7L2 + Saline: 131.5, mean of AAV-TCF7L2 + Memantine: 72.38. (<b>I</b>) Effects of memantine administration on latency to the first floating in the FST, mean of AAV-EGFP + Saline: 91.5, mean of AAV-EGFP + Memantine: 100.8, mean of AAV-TCF7L2 + Saline: 35, mean of AAV-TCF7L2 + Memantine: 82.5. (<b>J</b>) Total floating time in the FST, mean of AAV-EGFP + Saline: 32.25, mean of AAV-EGFP + Memantine: 44.63, mean of AAV-TCF7L2 + Saline: 157.5, mean of AAV-TCF7L2 + Memantine: 77.88. Comparisons between groups were conducted using one-way ANOVA. Data are expressed as means ± SEM. n = 7–11 per group. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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9 pages, 1991 KiB  
Case Report
Broadening the PHIP-Associated Neurodevelopmental Phenotype
by Giulia Pascolini, Giovanni Luca Scaglione, Balasubramanian Chandramouli, Daniele Castiglia, Giovanni Di Zenzo and Biagio Didona
Children 2024, 11(11), 1395; https://doi.org/10.3390/children11111395 - 17 Nov 2024
Viewed by 606
Abstract
Background: Monoallelic damaging variants in PHIP (MIM*612870), encoding the Pleckstrin Homology Domain Interacting Protein, have been associated with a novel neurodevelopmental disorder, also termed Chung–Jansen syndrome (CHUJANS, MIM#617991). Most of the described individuals show developmental delay (DD)/intellectual disability (ID), obesity/overweight, and variable congenital [...] Read more.
Background: Monoallelic damaging variants in PHIP (MIM*612870), encoding the Pleckstrin Homology Domain Interacting Protein, have been associated with a novel neurodevelopmental disorder, also termed Chung–Jansen syndrome (CHUJANS, MIM#617991). Most of the described individuals show developmental delay (DD)/intellectual disability (ID), obesity/overweight, and variable congenital anomalies, so the condition can be considered as an ID–overweight syndrome. Case Description: We evaluated a child presenting with DD/ID and a craniofacial phenotype reminiscent of a Pitt–Hopkins syndrome (PTHS)-like condition. We performed a clinical exome analysis on his biological sample, as well as an in silico prediction of the obtained data. At the same time, we interrogated the DeepGestalt technology powered by Face2Gene (F2G), using a frontal image of the proband, and clinically reviewed the earlier CHUJANS patients. In this child, we found a novel PHIP pathogenetic variant, which we corroborated through a protein modeling approach. The F2G platform supported the initial clinical hypothesis of a PTHS-like condition, while the clinical review highlighted the lack of the main frequent CHUJANS clinical features in this child. Conclusions: The unusual clinical presentation of this novel patient resembles a PTHS-like condition. However, a novel variant in PHIP has been unexpectedly detected, expanding the phenotypic spectrum of CHUJANS. Notably, PTHS (MIM#610954), which is a different ID syndrome caused by heterozygous variants in TCF4 (MIM*610954), is not classically considered in the differential diagnosis of CHUJANS nor has been cited in the previous studies. This could support other complex diagnoses and invite further patients’ descriptions. Full article
(This article belongs to the Special Issue Neurodevelopmental Disorders in Pediatrics)
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<p>Face masks of PTHS and CHUJANS (acquired from F2G) and respective causative genes. In this patient, a connection (indicated by the arrow) between the PTHS clinical spectrum, mainly caused by <span class="html-italic">TCF4</span> perturbations, and <span class="html-italic">PHIP</span>, associated with CHUJANS, is recognizable.</p>
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<p>(<b>A</b>,<b>B</b>) Frontal and lateral views of the craniofacial phenotype of this patient at the ages of 4 years and 5 months and 9 years and 9 months, respectively. Note: wide mouth with full lips, wide nasal tip with flared alae nasi, and full and prominent cheeks. (<b>C</b>) Widely spaced teeth. (<b>D</b>,<b>E</b>) Extremities phenotype, consisting of clinodactyly of 5th finger and hands brachydactyly (<b>D</b>), broad halluces with camptodactyly, partial 2nd–3rd toe overriding, bilateral 4th–5th clinodactyly in his feet, and small nails on the 5th toes (<b>E</b>).</p>
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<p>Structural model of WD40. The protein is depicted as a ribbon along the vdW surface (in gray).</p>
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<p>Overlapping facial regions with PTHS elaborated by F2G for the patient. The D-score for evaluating the degree of craniofacial dysmorphisms in this child is shown.</p>
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16 pages, 5178 KiB  
Article
Synergistic Impact of Magnets and Fins in Solar Desalination: Energetic, Exergetic, Economic, and Environmental Analysis
by Ajay Kumar Kaviti, M. Siva Prasad, V. Bhanu Venkata Naga Teja and Vineet Singh Sikarwar
Processes 2024, 12(11), 2554; https://doi.org/10.3390/pr12112554 - 15 Nov 2024
Viewed by 570
Abstract
This study investigates the effectiveness of combining magnets with parabolic and truncated fins in enhancing the distillation process of solar stills. The integration of magnets accelerated evaporation rates, while the fins increased the heat absorption area, resulting in improved output, vis-à-vis traditional solar [...] Read more.
This study investigates the effectiveness of combining magnets with parabolic and truncated fins in enhancing the distillation process of solar stills. The integration of magnets accelerated evaporation rates, while the fins increased the heat absorption area, resulting in improved output, vis-à-vis traditional solar stills. A comparative assessment revealed that the parabolic fin solar still (PFS) with magnets outperformed the truncated fin solar still (TCFS), producing 20%, 15%, and 16% more distillate at three different depths (1, 2, and 3 cm). The superior performance of the PFS is attributed to the magnetism of the water and the fins’ more extensive surface area for heat absorption. Efficiency measurements at a water depth of 1 cm showed that the PFS achieved the maximum energy and exergy efficiencies at 30.49% and 8.85%, respectively, compared with TCFS’s 25.23% and 6.22%. Economically, the PFS setup proved more feasible, with a 20.9% lower cost per liter of distilled water than TCFS. Additionally, the environmental impact assessment indicated a significant reduction in CO2 emissions, potentially generating revenues of approximately USD 1242.32 through carbon credits. These results reflect a considerable margin to enhance the efficiency of solar desalination through well-planned adjustments, which bodes well for the future of optimized solar distillation systems from an economic and environmental perspective. Full article
(This article belongs to the Section Separation Processes)
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<p>Graphical representation of basin liners and two double-slope solar stills with fins and magnets.</p>
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<p>Variation of solar intensity on an hourly basis in three different depths of water.</p>
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<p>Variation of temperatures at 1 cm water depth in PFS and TCFS.</p>
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<p>Variation of temperatures at 2 cm water depth in PFS and TCFS.</p>
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<p>Variation of temperatures at 3 cm water depth in PFS and TCFS.</p>
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<p>Hourly variation of distillate output in PFS and TCFS.</p>
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<p>Cumulative output of distillate in PFS and TCFS.</p>
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<p>Comparison of the energy efficiency of the PFS and TCFS.</p>
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<p>Comparison of the exergy efficiency of the PFS and TCFS.</p>
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16 pages, 19671 KiB  
Article
Emulsification and pH Control for Sustainable Thermochemical Fluids Reactivity
by Ali A. Al-Taq, Murtada Saleh Aljawad, Olalekan Saheed Alade, Hassan M. Ajwad, Sidqi A. Abu-Khamsin, Shirish Patil and Mohamed Mahmoud
Molecules 2024, 29(22), 5252; https://doi.org/10.3390/molecules29225252 - 6 Nov 2024
Viewed by 524
Abstract
Managing chemical reactivity is crucial for sustainable chemistry and industry, fostering efficiency, reducing chemical waste, saving energy, and protecting the environment. Emulsification is used for different purposes, among them controlling the reactivity of highly reactive chemicals. Thermochemical fluids (TCFs), such as NH4 [...] Read more.
Managing chemical reactivity is crucial for sustainable chemistry and industry, fostering efficiency, reducing chemical waste, saving energy, and protecting the environment. Emulsification is used for different purposes, among them controlling the reactivity of highly reactive chemicals. Thermochemical fluids (TCFs), such as NH4Cl and NaNO2 salts, have been utilized in various applications, including the oil and gas industry. However, the excessive reactivity of TCFs limits their applications and consequently negatively impacts the potential success rates. In this study, an emulsification technique was employed to control the high reactivity of TCFs explored at 50% and 70% in diesel, using three distinct emulsifier systems at concentrations of 1%, 3%, and 5% to form water-in-oil emulsions. The reactivity of 4M neat TCFs and emulsified solutions was examined in an autoclave reactor as a function of triggering temperatures of 65–95 °C, volume fraction, and emulsifier type and concentration. Additionally, this study explores an alternative method for controlling TCF reactivity through pH adjustment. It investigates the impact of TCFs at pH values ranging from 6 to 10 and the initial pressure on the resulting pressure, temperature, and time needed to initiate the TCF’s reaction. The results revealed that both emulsification and pH adjustment have the potential to promote sustainability by controlling the reactivity of TCF reactions. The findings from this study can be utilized to optimize various downhole applications of TCFs, enhancing the efficiency of TCF reactions and success rates. This paper presents in detail the results obtained, and discusses the potential contributions of the examined TCFs’ reactivity control techniques to sustainability. Full article
(This article belongs to the Section Applied Chemistry)
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<p>Effect of emulsification on the heat generated from the reaction of 70% individual emulsified 4M TCFs compared to neat 4M TCFs at 95 °C.</p>
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<p>Reactivity of (<b>a</b>) 4M neat TCFs versus (<b>b</b>) 70% individual emulsified 4M TCFs at 95 °C with emulsifier-A.</p>
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<p>Reactivity of 4M neat TCFs and 70% individual emulsified 4M TCFs in diesel with different emulsifiers at (1%) and 95 °C (<b>a</b>) pressure and (<b>b</b>) normalized reactivity.</p>
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<p>Reactivity of 70% individual emulsified 4M TCFs in diesel with different emulsifiers at (5%) and 75 °C, (<b>a</b>) pressure and (<b>b</b>) normalized reactivity and reaction rate.</p>
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<p>Photos of different emulsion systems with 5% of emulsifiers following autoclave testing at 75 °C.</p>
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<p>Generated pressure from emulsified 4M TCFs in diesel as a function of: (<b>a</b>) time and (<b>b</b>) Emulsifier-A concentration.</p>
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<p>Effect of Emulsifier-A concentration on the reactivity of 4M TCFs emulsified in diesel at 95 °C.</p>
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<p>Effect of temperature on the reactivity of 70% Emulsified 4M TCFs in diesel with Emulsifier-A at (<b>a</b>) 1, (<b>b</b>) 3, and (<b>c</b>) 5 vol%, and (<b>d</b>) normalized reduction in reactivity for temperatures of 75 and 95 °C as a function of TCF concentration.</p>
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<p>Effect of temperature on the reactivity of 70% 4M TCFs emulsified in diesel with Emulsifier-A at 1 vol%, (<b>a</b>) pressure and (<b>b</b>) normalized reactivity.</p>
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<p>Effect of volume fraction on (<b>a</b>) pressure generated and (<b>b</b>) normalized reactivity of emulsified 4M TCFs in diesel with 1% Emulsifier-A at 75 °C.</p>
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<p>Effect of the emulsification method on the reactivity of 4M TCFs with 1 vol% Emulsifier-A at 95 °C (<b>a</b>) individual versus mixed emulsification, (<b>b</b>) normalized reactivity, and (<b>c</b>) individual emulsified followed with mixing versus mixed emulsified system.</p>
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<p>(<b>a</b>) Effect of pH on generated pressure by 5M TCFs and (<b>b</b>) relationship between TCF pH values and maximum pressure.</p>
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<p>(<b>a</b>) Effect of pH on generated heat by 5M TCFs and (<b>b</b>) relationship between TCF pH values and maximum temperature.</p>
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<p>(<b>a</b>) Effect of initial pressure on delay time of 5M TCFs reaction and (<b>b</b>) relationship between initial pressure and time to trigger TCFs reaction.</p>
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<p>A schematic representation of the experimental work performed in this study.</p>
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14 pages, 5633 KiB  
Article
A Murine Model of Non-Wear-Particle-Induced Aseptic Loosening
by Vincentius Suhardi, Anastasia Oktarina, Yingzhen Niu, Branden Sosa, Julia Retzky, Matthew Greenblatt, Lionel Ivashkiv, Mathias Bostrom and Xu Yang
Biomimetics 2024, 9(11), 673; https://doi.org/10.3390/biomimetics9110673 - 4 Nov 2024
Viewed by 992
Abstract
Background: The current murine models of peri-implant osseointegration failure are associated with wear particles. However, the current clinical osseointegration failure is not associated with wear particles. Here, we develop a murine model of osseointegration failure not associated with wear particles and validate it [...] Read more.
Background: The current murine models of peri-implant osseointegration failure are associated with wear particles. However, the current clinical osseointegration failure is not associated with wear particles. Here, we develop a murine model of osseointegration failure not associated with wear particles and validate it by comparing the cellular composition of interfacial tissues with human samples collected during total joint arthroplasty revision for aseptic loosening. Materials and Methods: Thirty-two 16-week-old female C57BL/6 mice underwent implantation with a press-fitted roughened titanium implant (Control, n = 11) to induce normal osseointegration and a press-fitted smooth polymethylmethacrylate implant (PMMA, n = 11), a loosely fitted smooth titanium implant (Smooth-Ti, n = 5) or a loosely fitted roughened titanium implant (Overdrill, n = 5) to induce osseointegration failure. Pullout testing was used to determine the strength of the bone–implant interface (n = 6 of each for Control and PMMA groups) at 2 weeks after implantation. Histology (n = 2/group) and immunofluorescence (n = 3/group) were used to determine the cellular composition of bone–implant interfacial tissue, and this was compared with two human samples. Results: Osseointegration failure was confirmed with grossly loosening implants and the presence of fibrous tissue identified via histology. The maximum pullout load in the PMMA group was 87% lower than in the Control group (2.8 ± 0.6 N vs. 21 ± 1.5 N, p < 0.001). With immunofluorescence, abundant fibroblasts (PDGFRα+ TCF4+ and PDGFRα+ Pu1+) were observed in osseointegration failure groups and the human samples, but not in controls. Interestingly, CD146+PDGFRα+ and LepR+PDGFRα+ mesenchymal progenitors, osteoblasts (OPN+), vascular endothelium (EMCN+) cells were observed in all groups, indicating dynamic osteogenic activity. Macrophages, only M2, were observed in conditions producing fibrous tissue. Conclusions: In this newly developed non-wear-particle-related murine osseointegration failure model, the cellular composition of human and murine interfacial tissue implicates specific populations of fibroblasts in fibrous tissue formation and implies that these cells may derive from mesenchymal stem cells. Full article
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<p>High resolution (Faxitron) images showing smooth polymethylmethacrylate (PMMA) or roughened titanium implant (Control) in right tibia. Scale bar = 1000 µm.</p>
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<p>Histologic images (H&amp;E) showing nuclei interspersed in fibrous matrix the bone-implant interfacial tissue of mouse received PMMA implant (scale bar = 500 μm) and human (scale bar = 50 μm) received cementless implant (patient 1) or cemented implant (patient 2). No wear particles or multinucleated giant cells observed.</p>
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<p>Immunofluorescent images showing abundant TCF4+ (red) PDGFRɑ+ (green) cells in both human and mouse interfacial fibrous tissue. Nuclei were counterstained with DAPI (blue). White dotted line: border of host tissue and implant. Patient fluorescent images were overlaid with corresponding transmitted bright field images. Blue arrow: TCF4+PDGFRɑ+ cells in patients.</p>
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<p>Immunofluorescent images showing pro-fibrotic Pu1+ (red) PDGFRɑ+ (green) cells in both human and mouse interfacial fibrous tissue. Nuclei were counterstained with DAPI (blue). White dotted line: border of host tissue and implant. Patient fluorescent images were overlaid with corresponding transmitted bright field images. Blue arrow: Pu1+PDGFRɑ+ cells in patients.</p>
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<p>Immunofluorescent images showing OSX+ (red) cells in both human and mouse interfacial fibrous tissue; and extracellular OPN (green) only in mouse interfacial fibrous tissue. Nuclei were counterstained with DAPI (blue). White dotted line: border of host tissue and implant. Blue arrow: OSX+ cells in patients.</p>
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<p>Immunofluorescent images showing sparse TRAP+ (green) cells, all mononucleated, in both human and mouse interfacial fibrous tissue. Nuclei were counterstained with DAPI (blue). White dotted line: border of host tissue and implant. Blue arrow: TRAP+ cells in patients.</p>
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<p>Immunofluorescent images showing abundant Leptin R<sup>+</sup> (LepR<sup>+</sup>, green) and sparse CD146<sup>+</sup> cells in mouse interfacial fibrous tissue; and sparse LepR<sup>+</sup> (magenta) and PDGFRa<sup>+</sup> (green) cells in human interfacial fibrous tissue. Nuclei were counterstained with DAPI (blue). White dotted line: border of host tissue and implant. Patient fluorescent images were overlaid with corresponding transmitted bright field images. Blue arrow: PDGFRa<sup>+</sup>LepR<sup>+</sup> cells in patients.</p>
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<p>Immunofluorescent images showing CD146<sup>+</sup> (magenta), PDGFRa<sup>+</sup> (green), and Endomucin<sup>+</sup> (red) cells in mouse interfacial fibrous tissue; and CD146<sup>+</sup>(red) and PDGFRa<sup>+</sup>(green) cells in human interfacial fibrous tissue. Nuclei were counterstained with DAPI (blue). White dotted line: border of host tissue and implant. Patient fluorescent images were overlaid with corresponding transmitted bright field images. Blue arrow: CD146<sup>+</sup>LepR<sup>+</sup> cells in patients.</p>
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<p>Immunofluorescent images showing sparse macrophages (red, F4/80 for mice and CD68+ for human), mostly M2 (green, CD206 for mice and Arginase1 for human), in both human and mouse interfacial fibrous tissue. Nuclei were counterstained with DAPI (blue). White dotted line: border of host tissue and implant. Patient fluorescent images were overlaid with corresponding transmitted bright field images. Blue arrow: M2 macrophages in patients.</p>
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20 pages, 2380 KiB  
Article
Process Simulation and Technical Evaluation Using Water-Energy-Product (WEP) Analysis of an Extractive-Based Biorefinery of Creole-Antillean Avocado Produced in the Montes De María
by Sofía García-Maza, Tamy C. Herrera-Rodríguez and Ángel Darío González-Delgado
Sustainability 2024, 16(21), 9575; https://doi.org/10.3390/su16219575 - 3 Nov 2024
Viewed by 846
Abstract
The annual increase in the world’s population significantly contributes to recent climate change and variability. Therefore, researchers, engineers, and professionals in all fields must integrate sustainability criteria into their decision-making. These criteria aim to minimize the environmental, social, economic, and energy impacts of [...] Read more.
The annual increase in the world’s population significantly contributes to recent climate change and variability. Therefore, researchers, engineers, and professionals in all fields must integrate sustainability criteria into their decision-making. These criteria aim to minimize the environmental, social, economic, and energy impacts of human activities and industrial processes, helping mitigate climate change. This research focuses on developing scalable technology for the comprehensive use of avocados, adhering to sustainability principles. This work presents the modeling, simulation, and the WEP (Water-Energy-Product) technical evaluation of the process for obtaining bio-oil, chlorophyll, and biopesticide from the Creole-Antillean avocado. For this, the extractive-based biorefinery data related to water, energy, and products are taken from the material balance based on experimental results and process simulation. Then, eight process parameters are calculated, and eleven technical indicators are determined. Later, the extreme technical limitations for every indicator are demarcated, and an evaluation of the performance of the indicators is carried out. Results showed that the process has a high execution in aspects such as fractional water cost (TCF) and energy cost (TCE), as well as solvent reuse during extraction processes (SRI) and production yield, noting that the mentioned indicators are above 80%. In contrast, the metrics related to water management (FWC) and specific energy (ESI) showed the lowest performance. These discoveries support the use of optimization techniques like mass process integration. The energy-related indicators reveal that the process presents both benefits and drawbacks. One of the drawbacks is the energy source due to the high demand for electrical energy in the process, compared to natural gas. The specific energy intensity indicator (ESI) showed an intermediate performance (74%), indicating that the process consumes high energy. This indicator enables us to highlight that we can find energy aspects that require further study; for this reason, it is suitable to say that there is potential to enhance the energy efficiency of the process by applying energy integration methods. Full article
(This article belongs to the Special Issue Upcycling Biowaste into Biobased Products)
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<p>Block diagram of the extraction process of Creole-Antillean avocado bio-oil produced in the Montes de María.</p>
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<p>Block diagram of the chlorophyll extraction process from the peel of Creole-Antillean avocado produced in the Montes de María.</p>
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<p>Block diagram of the biopesticide extraction process from the Creole-Antillean avocado seed produced in Montes de María.</p>
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<p>Simulation of the bio-oil production process from the pulp of Creole-Antillean avocado using Aspen Plus<sup>®</sup> software.</p>
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<p>Simulation of the section for obtaining chlorophyll from Creole-Antillean avocado peel in the Aspen Plus<sup>®</sup> software.</p>
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<p>Simulation of the biopesticide production section from Creole-Antillean avocado seed in the Aspen Plus<sup>®</sup> software.</p>
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<p>Performance of nine of the indicators evaluated for the production process of bio-oil, biopesticide, and chlorophyll from avocado.</p>
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12 pages, 4944 KiB  
Article
Nanopore Sequencing for T-Cell Receptor Rearrangement Analysis in Cutaneous T-Cell Lymphoma
by Cassandra Cieslak, Carsten Hain, Christian Rückert-Reed, Tobias Busche, Levin Joe Klages, Katrin Schaper-Gerhardt, Ralf Gutzmer, Jörn Kalinowski and Rudolf Stadler
Cancers 2024, 16(21), 3700; https://doi.org/10.3390/cancers16213700 - 1 Nov 2024
Viewed by 1092
Abstract
Background: Analysis of T-cell receptor (TCR) clonality is a major diagnostic tool for lymphomas, particularly for cutaneous T-cell lymphomas (CTCL) like Mycosis fungoides and Sézary syndrome. However, a fast and cost-effective workflow is needed to enable widespread use of this method. Methods: [...] Read more.
Background: Analysis of T-cell receptor (TCR) clonality is a major diagnostic tool for lymphomas, particularly for cutaneous T-cell lymphomas (CTCL) like Mycosis fungoides and Sézary syndrome. However, a fast and cost-effective workflow is needed to enable widespread use of this method. Methods: We established a procedure for TCR rearrangement analysis via Oxford Nanopore Technology (ONT) sequencing. TCR receptor rearrangements (TCR-gamma and TCR-beta chains) were analyzed in samples from 45 patients with various diagnoses: Mycosis fungoides (37/45), Sézary Syndrome (2/45), folliculotropic CTCL (1/45), and non-CTCL diagnoses as polyclonal controls (5/45). Sample types included formalin-fixed paraffin-embedded (FFPE) samples (27/45), fresh frozen samples (9/45), and CD3-isolated cells (9/45). In addition, DNA of a Jurkat cell line was used as a monoclonal control. TCR amplicons were generated employing an optimized version of the protocol from the Euro Clonality consortium. Sequencing was conducted on the ONT GridION and Illumina MiSeq platforms, followed by similar bioinformatic analysis protocols. The tumor clone frequency (TCF), a crucial prognostic factor for CTCL patients, was used for method comparison. Results: The use of an optimized amplicon protocol and adapted bioinformatic tools demonstrated a strong correlation in TCF values between both sequencing methods across all sample types (range R: 0.992–0.996; range r2: 0.984–0.991). Conclusions: In summary, ONT sequencing was able to detect TCR clonality comparable to NGS, indicating its potential as a faster and more cost-effective option for routine diagnostic use. Full article
(This article belongs to the Special Issue Targets and Biomarkers in Cutaneous Lymphoma)
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<p>Correlation of TCF data for TCR analysis via Illumina (MiSeq) or ONT amplicon sequences. For all samples the calculated TCF values for both analyzed T-cell receptor chains (TRG and TRB) are shown and correlation between both sequencing methods is depicted. (<b>a</b>,<b>b</b>) FFPE samples, TRG <span class="html-italic">n</span> = 27, TRB <span class="html-italic">n</span> = 23. (<b>c</b>,<b>d</b>) CD3-isolated cell samples, TRG <span class="html-italic">n</span> = 9, TRB <span class="html-italic">n</span> = 9. (<b>e</b>,<b>f</b>) fresh frozen (FF) samples, TRG <span class="html-italic">n</span> = 9, TRB <span class="html-italic">n</span> = 9.</p>
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<p>Chord diagrams of TRG repertoires. A monoclonal sample in TRG sequenced by MiSeq (<b>a</b>) and ONT (<b>b</b>) compared to a polyclonal example in TRG analyzed with MiSeq (<b>c</b>) and ONT (<b>d</b>).</p>
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<p>Relative quantification of the top clones (TCF) in replicates for 3 samples: a healthy donor, Jurkat cell line and a PBMC sample isolated from a patient with active immune state. The blue spots are the MiSeq (Illumina) data; the green spots, the ONT-Q20 data (Guppy Version 5.1.13); and the one spot in purple (in TRG–Jurkat 100%) is another ONT-Q20 spot analyzed with Guppy version 6.1.5.</p>
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13 pages, 7956 KiB  
Article
Design and Investigation of a High-Performance Quartz-Based SAW Temperature Sensor
by Jianfei Jiang
Micromachines 2024, 15(11), 1349; https://doi.org/10.3390/mi15111349 - 31 Oct 2024
Viewed by 738
Abstract
In this work, a surface acoustic wave (SAW) temperature sensor based on a quartz substrate was designed and investigated. Employing the Coupling-of-Modes (COM) model, a detailed analysis was conducted on the effects of the number of interdigital transducers (IDTs), the number of reflectors, [...] Read more.
In this work, a surface acoustic wave (SAW) temperature sensor based on a quartz substrate was designed and investigated. Employing the Coupling-of-Modes (COM) model, a detailed analysis was conducted on the effects of the number of interdigital transducers (IDTs), the number of reflectors, and their spacing on the performance of the SAW device. The impact of the transversal mode of quartz SAWs on the device was subsequently examined using the finite element method (FEM). The simulation results indicate that optimizing these structural parameters significantly enhances the sensor’s sensitivity and frequency stability. SAW devices with optimal structural parameters were fabricated, and their resonant frequencies were tested across a temperature range of 25–150 °C. Experimental results demonstrate that the SAW temperature sensor maintains high performance stability and data reliability throughout the entire temperature range, achieving a Bode-Q of 7700. Furthermore, the sensor exhibits excellent linearity and repeatability. An analysis of the sensor’s response under varying temperature conditions reveals a significant temperature dependency on its Temperature Coefficient of Frequency (TCF). This feature suggests that the sensor possesses potential advantages for applications in industrial process control and environmental monitoring. Full article
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<p>(<b>a</b>) Schematic diagram of the 2D periodic model of the SAW device; (<b>b</b>) mode shapes of the symmetric and antisymmetric modes of the Rayleigh wave; (<b>c</b>) top view of the 3D periodic model of the SAW device.</p>
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<p>Top view of the complete SAW resonator structure.</p>
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<p>Simulation results for SAW resonators with different NI: (<b>a</b>) impedance curves, (<b>b</b>) Bode-Q curves, and (<b>c</b>) Bode-Q values (top) and impedance variation values (bottom) at the resonance point; for SAW resonators with different NR: (<b>d</b>) impedance curves, (<b>e</b>) Bode-Q curves, and (<b>f</b>) Bode-Q values (top) and impedance variation values (bottom) at the resonance point.</p>
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<p>Simulated impedance curves corresponding to <b><span class="html-italic">L</span></b><sub>g</sub> for (<b>a</b>) λ/8 + nλ/2 (n = 0, 1, 2) and (<b>b</b>) λ/4 + nλ/8 (n = 0, 1, 2, 3).</p>
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<p>(<b>a</b>) Admittance curve of the SAW without the dummy structure; (<b>b</b>) admittance and conductance curves of the SAW device with different dummy length designs.</p>
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<p>(<b>a</b>) Simulated reflection coefficient curves of the device at different temperatures; (<b>b</b>) resonant frequency and minimum reflection coefficient of the sensor at different temperatures.</p>
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<p>SEM image of the SAW resonator with a wavelength of 7.2 μm.</p>
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<p>Test setup and procedure for temperature sensor evaluation.</p>
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<p>(<b>a</b>) Impedance curve and S11 test results of the SAW device at 30 °C; (<b>b</b>) Bode-Q curve of the device at 30 °C; and (<b>c</b>) variation of the sensor’s resonant frequency at different temperatures. (<b>d</b>) Error chart of temperature sensor tested multiple times.</p>
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14 pages, 1737 KiB  
Article
Differential Gene Expression in Late-Onset Friedreich Ataxia: A Comparative Transcriptomic Analysis Between Symptomatic and Asymptomatic Sisters
by Sara Petrillo, Alessia Perna, Andrea Quatrana, Gabriella Silvestri, Enrico Bertini, Fiorella Piemonte and Massimo Santoro
Int. J. Mol. Sci. 2024, 25(21), 11615; https://doi.org/10.3390/ijms252111615 - 29 Oct 2024
Viewed by 820
Abstract
Friedreich ataxia (FRDA) is the most common inherited ataxia, primarily impacting the nervous system and the heart. It is characterized by GAA repeat expansion in the FXN gene, leading to reduced mitochondrial frataxin levels. Previously, we described a family displaying two expanded GAA [...] Read more.
Friedreich ataxia (FRDA) is the most common inherited ataxia, primarily impacting the nervous system and the heart. It is characterized by GAA repeat expansion in the FXN gene, leading to reduced mitochondrial frataxin levels. Previously, we described a family displaying two expanded GAA alleles, not only in the proband affected by late-onset FRDA but also in the younger asymptomatic sister. The molecular characterization of the expanded repeats showed that the affected sister carried two canonical uninterrupted GAA expended repeats, whereas the asymptomatic sister had a compound heterozygous for a canonical GAA repeat and an expanded GAAGGA motif. Therefore, we decided to perform RNA sequencing (RNA-seq) on fibroblasts from both sisters in order to understand whether some genes and/or pathways might be differently involved in the occurrence of FRDA clinical manifestation. The transcriptomic analysis revealed 398 differentially expressed genes. Notably, TLR4, IL20RB, and SLITRK5 were up-regulated, while TCF21 and GRIN2A were down-regulated, as validated by qRT-PCR. Gene ontology (GO) enrichment and network analysis highlighted significant involvement in immune response and neuronal functions. Our results, in particular, suggest that TLR4 may contribute to inflammation in FRDA, while IL20RB, SLITRK5, TCF21, and GRIN2A dysregulation may play roles in the disease pathogenesis. This study introduces new perspectives on the inflammatory and developmental aspects in FRDA, offering potential targets for therapeutic intervention. Full article
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<p>Identification of differentially expressed genes by comparing the symptomatic vs. the asymptomatic sister. (<b>A</b>) Principal component analysis (PCA) plotting for both sisters considering the top 500 most variable genes. (<b>B</b>) Volcano plot of the RNA-seq results using cutoff values of log2 fold change &gt; ±1 and adjusted-<span class="html-italic">p</span>-value &lt; 0.05. Non-changed genes are shown in gray, up-regulated genes are in red, and down-regulated genes are in blue. (<b>C</b>) Heatmap of differentially expressed genes. Hierarchical clustering was performed using the Pearson correlation distance metric and the average linkage clustering algorithm.</p>
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<p>qRT-PCR analysis for validation of <span class="html-italic">TLR4</span>, <span class="html-italic">IL20RB</span>, <span class="html-italic">SLITRK5</span>, <span class="html-italic">TCF21,</span> and <span class="html-italic">GRIN2A</span> mRNA transcripts. Log<sub>2</sub> fold changes determined by RNA-seq and qRT-PCR are presented as mean ± SD. Statistical significance was reached at <span class="html-italic">p</span> &lt; 0.001 for all genes. Three independent fibroblast samples per sister were used (<span class="html-italic">n</span> = 3).</p>
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<p>Gene ontology enrichment analysis (GO) of the biological process (BP). The top 20 enriched categories were plotted.</p>
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<p>Gene ontology enrichment analysis (GO) of the cellular component (CC). The top 20 enriched categories were plotted.</p>
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<p>Gene ontology enrichment analysis (GO) of the molecular function (MF). The top 20 enriched categories were plotted.</p>
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<p>Network analysis of the top five genes using Cytoscape v3.10.1 software. The top five genes (<span class="html-italic">TLR4, SLITRK5, IL20RB</span>, <span class="html-italic">TCF1</span>, and <span class="html-italic">GRIN2A</span>) are represented as black circles. All genes involved in the network are indicated as grey circles. Light-brown lines indicate shared protein domains, green lines indicate co-expression, and violet lines indicate genetic interactions.</p>
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