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Search Results (31,222)

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19 pages, 20807 KiB  
Article
Thickness and Structure of Permafrost in Oil and Gas Fields of the Yamal Peninsula: Evidence from Shallow Transient Electromagnetic (sTEM) Survey
by Natalya Misyurkeeva, Igor Buddo, Ivan Shelokhov, Alexander Smirnov, Alexey Nezhdanov and Yuri Agafonov
Water 2024, 16(18), 2633; https://doi.org/10.3390/w16182633 (registering DOI) - 16 Sep 2024
Abstract
The Yamal-Nenets Autonomous District, especially the Yamal Peninsula located in the permafrost zone, stores Russia’s largest oil and gas resources. However, development in the area is challenging because of its harsh climate and engineering–geological features. Drilling in oil and gas fields in permafrost [...] Read more.
The Yamal-Nenets Autonomous District, especially the Yamal Peninsula located in the permafrost zone, stores Russia’s largest oil and gas resources. However, development in the area is challenging because of its harsh climate and engineering–geological features. Drilling in oil and gas fields in permafrost faces problems that are fraught with serious accident risks: soil heaving leading to the collapse of wellheads and hole walls, deformation and breakage of casing strings, gas seeps or explosive emissions, etc. In this respect, knowledge of the permafrost’s structure is indispensable to ensure safe geological exploration and petroleum production in high-latitude regions. The extent and structure of permafrost in West Siberia, especially in its northern part (Yamal and Gydan Peninsulas), remain poorly studied. More insights into the permafrost’s structure have been obtained by a precise sTEM survey in the northern Yamal Peninsula. The sTEM soundings were performed in a large oil and gas field where permafrost is subject to natural and anthropogenic impacts, and its degradation, with freezing–thawing fluctuations and frost deformation, poses risks to exploration and development operations, as well as to production infrastructure. The results show that permafrost in the western part of the Yamal geocryological province is continuous laterally but encloses subriver and sublake unfrozen zones (taliks) and lenses of saline liquid material (cryopegs). The total thickness of perennially frozen rocks is 200 m. The rocks below 200 m have negative temperatures but are free from pore ice. Conductive features (<10 Ohm﮲m) traceable to the permafrost base may represent faults that act as pathways for water and gas fluids and, thus, can cause a geohazard in the oil and gas fields (explosion of frost mounds, gas blow during shallow drilling, etc.). Full article
(This article belongs to the Special Issue The Latest Research in Permafrost Hydrology)
21 pages, 287 KiB  
Article
Effects of Kahoot! on K-12 Students’ Mathematics Achievement and Multi-Screen Addiction
by Nikolaos Pellas
Multimodal Technol. Interact. 2024, 8(9), 81; https://doi.org/10.3390/mti8090081 (registering DOI) - 16 Sep 2024
Abstract
Digital platforms are increasingly prevalent among young students in K-12 education, offering significant opportunities but also raising concerns about their effects on self-assessment and academic performance. This study investigates the effectiveness of Kahoot! compared to traditional instructional methods in enhancing mathematics achievement and [...] Read more.
Digital platforms are increasingly prevalent among young students in K-12 education, offering significant opportunities but also raising concerns about their effects on self-assessment and academic performance. This study investigates the effectiveness of Kahoot! compared to traditional instructional methods in enhancing mathematics achievement and its impact on multiple screen addiction (MSA) among Greek students aged 9 to 12 during a STEM summer camp. A quasi-experimental design was employed with a purposefully selected sample of one hundred and ten (n = 110) students, who were non-randomly divided into two groups: (a) an experimental group of fifty-five students (n = 55) who engaged with Kahoot! (using dynamic visual aids and interactive content) and (b) a control group of fifty-five students (n = 55) who received traditional instruction (using digital textbooks and PowerPoint slides with multimedia content) on laptops and tablets. The findings revealed a statistically significant difference in MSA scores, with the experimental group exhibiting lower MSA scores compared to their counterparts, indicating a positive impact on reducing screen addiction levels. While Kahoot! led to lower MSA levels, it significantly improved overall mathematical achievement, with a substantial effect size, suggesting a strong positive impact on learning outcomes. The current study highlights the importance of aligning educational tools with the intended outcomes and recommends further research to explore the broader impact of gamified learning on student engagement, screen addiction, and learning outcomes. Full article
14 pages, 3332 KiB  
Article
Myrosin Cells and Myrosinase Expression Pattern in Nasturtium (Tropaeolum majus L.)
by Ivana Restović, Nives Kević, Laura Kurić, Ivana Bočina, Elma Vuko and Ivana Vrca
Agronomy 2024, 14(9), 2108; https://doi.org/10.3390/agronomy14092108 - 16 Sep 2024
Abstract
Plants from the Brassicales order are known for the presence of a glucosinolate–myrosinase link, which is an important protection strategy against multiple stressors. The main goal of this study was to investigate the presence of the myrosinase enzyme and reveal the myrosin cell [...] Read more.
Plants from the Brassicales order are known for the presence of a glucosinolate–myrosinase link, which is an important protection strategy against multiple stressors. The main goal of this study was to investigate the presence of the myrosinase enzyme and reveal the myrosin cell ultrastructure in the vegetative organs of nasturtium. The presence, localisation and expression of the enzyme myrosinase type 1 (TGG1) at different developmental stages of Tropaeolum majus L. (nasturtium) were investigated using immunohistochemical and immunofluorescent techniques. The expression of myrosinase was detected in the vegetative organs of T. majus. During plant development, within four consecutive weeks, a decrease in myrosinase expression was noticed in all studied plant organs. The location of greater myrosinase accumulation and activity is shown to be the root, contrary to the nasturtium stem and leaf, where we found the lowest myrosinase expression. Transmission electron microscopy was used to reveal the ultrastructural features of the myrosin cells of nasturtium. Myrosin cells are usually scattered between parenchyma cells and S-cells. Mostly, they are rectangular or slightly elongated in shape and can be recognised by an electron-dense large central vacuole and an expanded rough endoplasmic reticulum. The results of this study provide new data on myrosin cell morphology and the expression pattern of myrosinase in T. majus. Full article
(This article belongs to the Section Plant-Crop Biology and Biochemistry)
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Figure 1
<p><span class="html-italic">Tropaeolum majus</span> L. sample growth in four consecutive weeks. (<b>a</b>) The samples measured in the first phase (P1) of the study: 19-day-old plants; (<b>b</b>) The samples measured in the second phase (P2) of the study: 26-day-old plants; (<b>c</b>) The samples measured in the third phase (P3): 33-day-old plants; (<b>d</b>) Morphological difference in the leaves, with older jagged-shaped leaves and younger round-shaped leaves; (<b>e</b>) The samples measured in the fourth phase (P4): 40-day-old plants; the morphological difference in the stem with some of the stems having turned brown, while most of the stems are still the usual light green (arrow).</p>
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<p>Results of sample measurements for four consecutive experimental weeks of sampling. A one-way ANOVA test was used for statistical data processing, after which Tukey’s multiple comparisons test was used to examine the difference in the (<b>a</b>) root height, (<b>b</b>) stem height, (<b>c</b>) leaf length and (<b>d</b>) total plant height in the four developmental stages. The results are presented as mean (n = 5) ± standard deviation (SD). Significance was set at * <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, and **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Immunofluorescence staining of myrosinase in sections of the vegetative nasturtium (<span class="html-italic">Tropaeolum majus</span> L.) organs using TGG1 myrosinase 1 rabbit primary antibody. Expression of the enzyme myrosinase type 1 (arrows) in the parenchyma cells of the root (<b>a</b>–<b>d</b>), stem (<b>e</b>–<b>h</b>) and leaf (<b>i</b>–<b>l</b>) is shown during four different developmental phases (P1–P4). Localisation of myrosinase type 1 in the meristematic zone of a young root (panel (<b>a</b>)) and the cells of the vascular tissue of the root (panels b, d) and the stem (panel (<b>e</b>–<b>h</b>)). Cells of the ground tissue in the vascular part of the leaf (panels (<b>i</b>–<b>l</b>)). Transverse (<b>a</b>,<b>c</b>,<b>e</b>–<b>g</b>,<b>i</b>–<b>l</b>) and longitudinal sections (<b>b</b>,<b>d</b>,<b>h</b>). pd—protoderm; gm—ground meristem; xyl—xylem; phl—phloem; arrows—myrosinase expression.</p>
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<p>Statistical analysis of the expression pattern of myrosinase type 1 in the root, stem and leaf at different developmental stages after plants sprout. Myrosinase expression was quantified by measuring the percentage of immunoreactive cell areas (% area). Two-way ANOVA and Tukey’s multiple comparison test were used for statistical analyses. Statistically significant differences were set as * <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; and **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Immunohistochemical staining of myrosinase in nasturtium tissue. Presence of myrosinase type 1 (brown colour) was observed in the root area (<b>a</b>–<b>c</b>), the vascular elements of the stem (<b>d</b>), the leaf parenchyma tissue (<b>e</b>) and the xylem vessels (<b>f</b>). P1—Phase 1; P2—Phase 2; P3—Phase 3; P4—Phase 4; arrows—myrosin cells; p phl—phloem parenchyma cells; S—S cell; arrowhead—parenchyma cells; xyl—xylem; phl—phloem.</p>
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<p>Ultrastructure of myrosin cells in the root (<b>a</b>,<b>b</b>), the stem (<b>c</b>,<b>d</b>) and the leaf (<b>e</b>,<b>f</b>) in the first phase of development. Myrosin cells (M) differ from the surrounding S-cells by their higher electron density and the presence of one large and several smaller vacuoles. S-cells (S) surround the myrosin cells and can be recognised by the very thin layer of cytoplasm and the large volume of the central vacuole. M—myrosin cell; S—S-cell; V—vacuole; ve—vessel elements; mg—myrosin granule; rER—rough endoplasmic reticulum; G—Golgi apparatus; m—mitochondrion; cw—cell wall; n—nucleus; ch—chloroplast; PPC—phloem parenchyma cell; *—protein storage vesicle; arrow—plasmodesmal opening; CC—companion cell; ST—sieve tube element.</p>
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26 pages, 1144 KiB  
Review
Cancer Stem Cells in Oral Squamous Cell Carcinoma: A Narrative Review on Experimental Characteristics and Methodological Challenges
by Surendra Kumar Acharya, Saptarsi Shai, Yee Fan Choon, Indrayadi Gunardi, Firstine Kelsi Hartanto, Kathreena Kadir, Ajoy Roychoudhury, Rahmi Amtha and Vui King Vincent-Chong
Biomedicines 2024, 12(9), 2111; https://doi.org/10.3390/biomedicines12092111 - 16 Sep 2024
Abstract
Cancer stem cells (CSCs) represent a subpopulation of cancer cells that are believed to initiate and drive cancer progression. In animal models, xenotransplanted CSCs have demonstrated the ability to produce tumors. Since their initial isolation in blood cancers, CSCs have been identified in [...] Read more.
Cancer stem cells (CSCs) represent a subpopulation of cancer cells that are believed to initiate and drive cancer progression. In animal models, xenotransplanted CSCs have demonstrated the ability to produce tumors. Since their initial isolation in blood cancers, CSCs have been identified in various solid human cancers, including oral squamous cell carcinoma (OSCC). In addition to their tumorigenic properties, dysregulated stem-cell-related signaling pathways—Wnt family member (Wnt), neurogenic locus notch homolog protein (Notch), and hedgehog—have been shown to endow CSCs with characteristics like self-renewal, phenotypic plasticity, and chemoresistance, contributing to recurrence and treatment failure. Consequently, CSCs have become targets for new therapeutic agents, with some currently in different phases of clinical trials. Notably, small molecule inhibitors of the hedgehog signaling pathway, such as vismodegib and glasdegib, have been approved for the treatment of basal cell carcinoma and acute myeloid leukemia, respectively. Other strategies for eradicating CSCs include natural compounds, nano-drug delivery systems, targeting mitochondria and the CSC microenvironment, autophagy, hyperthermia, and immunotherapy. Despite the extensive documentation of CSCs in OSCC since its first demonstration in head and neck (HN) SCC in 2007, none of these novel pharmacological approaches have yet entered clinical trials for OSCC patients. This narrative review summarizes the in vivo and in vitro evidence of CSCs and CSC-related signaling pathways in OSCC, highlighting their role in promoting chemoresistance and immunotherapy resistance. Additionally, it addresses methodological challenges and discusses future research directions to improve experimental systems and advance CSC studies. Full article
(This article belongs to the Special Issue Novel Insights on Cancer Stem Cells)
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Figure 1
<p>Evolution of cancer. (<b>A</b>) The cancer stem cell (CSC) theory of cancer evolution proposes the existence of a hierarchy in the heterogeneous cancer cell population in which cancer stem cells (CSCs) occupy the apex of the hierarchy. Through symmetrical and asymmetrical division in each cell cycle, CSCs give rise to other CSCs (through self-renewal) and non-CSCs, contributing to the heterogeneity in the cancer cell population. (<b>B</b>) In Nowell’s clonal theory of cancer evolution, all cancer cells are equally probable in acquiring more mutations, and each cell will expand clonally to form a heterogeneous cancer cell population.</p>
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<p>CSCs in OSCC. Cancer cells harvested from primary OSCC or cancer cell lines consist of a heterogeneous cancer population of CSCs and non-CSCs. CSCs are identified and then sorted by using cell surface markers. CD133 and CD44 are commonly used cell surface markers to identify and sort OSCC CSCs using fluorescence-assisted cell sorting (FASC) or magnetic beads in magnetic sorting for further characterization of CSCs. When cultured as a monolayer, CSCs grow as tightly packed cell colonies (holoclones). In non-adherent culture, CSCs readily form tumor spheres. Most importantly, CSCs form tumors rapidly when xenotransplanted into an animal model and resist chemotherapy regimens.</p>
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23 pages, 5336 KiB  
Article
Enhancing the Interpretability of Malaria and Typhoid Diagnosis with Explainable AI and Large Language Models
by Kingsley Attai, Moses Ekpenyong, Constance Amannah, Daniel Asuquo, Peterben Ajuga, Okure Obot, Ekemini Johnson, Anietie John, Omosivie Maduka, Christie Akwaowo and Faith-Michael Uzoka
Trop. Med. Infect. Dis. 2024, 9(9), 216; https://doi.org/10.3390/tropicalmed9090216 - 16 Sep 2024
Abstract
Malaria and Typhoid fever are prevalent diseases in tropical regions, and both are exacerbated by unclear protocols, drug resistance, and environmental factors. Prompt and accurate diagnosis is crucial to improve accessibility and reduce mortality rates. Traditional diagnosis methods cannot effectively capture the complexities [...] Read more.
Malaria and Typhoid fever are prevalent diseases in tropical regions, and both are exacerbated by unclear protocols, drug resistance, and environmental factors. Prompt and accurate diagnosis is crucial to improve accessibility and reduce mortality rates. Traditional diagnosis methods cannot effectively capture the complexities of these diseases due to the presence of similar symptoms. Although machine learning (ML) models offer accurate predictions, they operate as “black boxes” with non-interpretable decision-making processes, making it challenging for healthcare providers to comprehend how the conclusions are reached. This study employs explainable AI (XAI) models such as Local Interpretable Model-agnostic Explanations (LIME), and Large Language Models (LLMs) like GPT to clarify diagnostic results for healthcare workers, building trust and transparency in medical diagnostics by describing which symptoms had the greatest impact on the model’s decisions and providing clear, understandable explanations. The models were implemented on Google Colab and Visual Studio Code because of their rich libraries and extensions. Results showed that the Random Forest model outperformed the other tested models; in addition, important features were identified with the LIME plots while ChatGPT 3.5 had a comparative advantage over other LLMs. The study integrates RF, LIME, and GPT in building a mobile app to enhance the interpretability and transparency in malaria and typhoid diagnosis system. Despite its promising results, the system’s performance is constrained by the quality of the dataset. Additionally, while LIME and GPT improve transparency, they may introduce complexities in real-time deployment due to computational demands and the need for internet service to maintain relevance and accuracy. The findings suggest that AI-driven diagnostic systems can significantly enhance healthcare delivery in environments with limited resources, and future works can explore the applicability of this framework to other medical conditions and datasets. Full article
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<p>Malaria and Typhoid Fever Diagnosis Framework.</p>
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<p>Pre-processed dataset.</p>
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<p>Oversampled dataset with SMOTE.</p>
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<p>Random Forest schematic diagram.</p>
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<p>Extreme gradient boosting schematic diagram.</p>
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<p>Support Vector Machine diagram.</p>
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<p>XGBoost Algorithm Confusion Matrix.</p>
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<p>RF Algorithm Confusion Matrix.</p>
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<p>SVM Algorithm Confusion Matrix.</p>
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<p>Performance Evaluation of the Machine Learning Models.</p>
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<p>XGBoost Algorithm LIME diagram.</p>
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<p>RF Algorithm LIME diagram.</p>
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<p>SVM Algorithm LIME diagram.</p>
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<p>User Login.</p>
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<p>User Main Dashboard.</p>
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<p>Patient Registration.</p>
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<p>Patient Account Dashboard.</p>
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<p>History Taking and Examination.</p>
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<p>XAI Diagnosis Results.</p>
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10 pages, 11741 KiB  
Article
mRNA Fragmentation Pattern Detected by SHAPE
by Shanshan Feng, Ting Chen, Yunlong Zhang and Changrui Lu
Curr. Issues Mol. Biol. 2024, 46(9), 10249-10258; https://doi.org/10.3390/cimb46090610 (registering DOI) - 16 Sep 2024
Abstract
The success of messenger RNA (mRNA) vaccines in controlling COVID-19 has warranted further developments in new technology. Currently, their quality control process largely relies on low-resolution electrophoresis for detecting chain breaks. Here, we present an approach using multi-primer reverse transcription sequencing (MPRT-seq) to [...] Read more.
The success of messenger RNA (mRNA) vaccines in controlling COVID-19 has warranted further developments in new technology. Currently, their quality control process largely relies on low-resolution electrophoresis for detecting chain breaks. Here, we present an approach using multi-primer reverse transcription sequencing (MPRT-seq) to identify degradation fragments in mRNA products. Using this in-house-made mRNA containing two antigens and untranslated regions (UTRs), we analyzed the mRNA completeness and degradation pattern at a nucleotide resolution. We then analyzed the sensitive base sequence and its correlation with the secondary structure. Our MPRT-seq mapping shows that certain sequences on the 5′ of bulge–stem–loop structures can result in preferential chain breaks. Our results agree with commonly used capillary electrophoresis (CE) integrity analysis but at a much higher resolution, and can improve mRNA stability by providing information to remove sensitive structures or sequences in the mRNA sequence design. Full article
(This article belongs to the Section Biochemistry, Molecular and Cellular Biology)
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<p>(<b>A</b>) Schematic of green fluorescent protein–luciferase (GFP-Luc) mRNA and six reverse-transcription (RT) primer positions. The 5′ untranslated region (UTR) (residues 1–52), Kozak sequence (residues 47–52) at the 3′ end of 5′ UTR, Luc (residues 53–1702), linker (residues 1703–1768), GFP (residues 1769–2485), stop codons (residues 2486–2491), 3′ UTR (residues 2492–2786) and poly (<b>A</b>) (residues 2787–2896) are shown in purple, blue, pink, green, black, orange and grey, respectively. The black arrow and the yellow eight-pointed star represent the reverse-transcription DNA primer and 5′-FAM label; (<b>B</b>) mRNA degradation study workflow.</p>
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<p>Capillary electrophoresis (CE) evaluation of GFP-Luc mRNA integrity under accelerated degradation. mRNA samples were analyzed using the Qsep CE analyzer. (<b>A</b>) Electropherograms of mRNA under accelerated degradation. The freeze–thaw cycles were 5, 10 and 20, respectively; incubation was performed at 37 °C for 24 h and 48 h, respectively. The alignment marker is RNA-LM (20 nt), and dashed lines indicate the cutoff of the main mRNA fragments peak, which ranges from approximately 2100 to 3300 nt. (<b>B</b>) mRNA integrity derived from CE analysis: the left panel shows the degradation effect of freeze–thaw cycles, with CE integrity bars for 5, 10 and 20 freeze–thaw cycles shown in red, green and blue, respectively. The right panel shows the degradation effect of 37 °C incubation, with CE integrity bars for 24 h and 48 h incubations shown in orange and cyan, respectively. The CE integrity bar for the control is shown in black.</p>
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<p>Multi-primer reverse transcription sequencing (MPRT-seq) reveals GFP-Luc mRNA reactivity changes under accelerated degradation. (<b>A</b>,<b>B</b>) left panels show MPRT-seq reactivity changes under freeze–thaw cycles and 37 °C heating incubation, respectively. mRNA length is plotted on the <span class="html-italic">X</span>-axis. The right panels show the mean reactivity of MPRT-seq under degradation acceleration treatment. The coloring of the MPRT-seq mean reactivity bars are consistent with <a href="#cimb-46-00610-f002" class="html-fig">Figure 2</a>.</p>
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<p>GFP-Luc mRNA secondary structure prediction and evaluation of high-degradation-reactivity sequences. (<b>A</b>) Secondary structure prediction was performed using RNAfold web server with the sequence from residue 1 to 2789, except the poly (<b>A</b>) tail. The coloring of GFP-Luc mRNA elements is consistent with <a href="#cimb-46-00610-f001" class="html-fig">Figure 1</a>A schematic. Additionally, 1–4 represent sequences that are sensitive to both freeze–thaw cycles and 37 °C heating incubation, and their corresponding positions are shown in the secondary structure. (<b>B</b>–<b>E</b>) left panels represent MPRT-seq reactivity under degradation acceleration, with consistent secondary structure motifs shown on right side. The dotted line shows the relative mean reactivity derived from Equation (1). The red circles in the secondary structure motifs represent relative high-degradation nucleotide positions, and black circles represent relatively low activities.</p>
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25 pages, 24816 KiB  
Article
Heritage Regeneration Models for Traditional Courtyard Houses in a Northern Chinese City (Jinan) in the Context of Urban Renewal
by Meng Chen, Hechi Wang, Zhanfang Hu, Qi Zhou and Liang Zhao
Sustainability 2024, 16(18), 8089; https://doi.org/10.3390/su16188089 (registering DOI) - 16 Sep 2024
Abstract
The fundamental disputes in urban heritage regeneration stem from variations in power dynamics and inherent value systems among stakeholders. Addressing conflicts and power differentials involving governmental bodies, market forces, community residents, experts, and scholars is crucial for fostering sustainable urban heritage development. Recently, [...] Read more.
The fundamental disputes in urban heritage regeneration stem from variations in power dynamics and inherent value systems among stakeholders. Addressing conflicts and power differentials involving governmental bodies, market forces, community residents, experts, and scholars is crucial for fostering sustainable urban heritage development. Recently, these contradictions have grown more pronounced as China’s urbanization has transitioned from rapid expansion to a phase focused on existing urban assets. In the present research, the typical traditional courtyard-style residential buildings in Jinan, a historic city in northern China, were selected as the object of study. These houses often suffer from problems such as outdated infrastructure and low living conditions and have become difficult to adapt to contemporary urban life. A case study approach was employed focusing on a representative courtyard house to develop models for renewing and regenerating urban heritage, specifically tailored to traditional courtyard houses. The aim was to address conflicts and power disparities among urban heritage stakeholders through diverse mechanisms. Methodologically, the research integrates historical study and field investigation, participatory analysis, and policy analysis. Primary data sources include field surveys, historical research, oral interviews, and drone aerial photography. Models were constructed in the present study—namely, the heritage self-renewal, heritage revitalization, and heritage transformation models—for traditional courtyard houses. These models were designed to foster sustainable urban heritage development through collaborative efforts across various stakeholders and administrative levels. They will optimize the renewal mechanism of urban heritage, thus providing diversity and multiple possibilities for the preservation and reuse of architectural heritage in China. They aim to realize comprehensive urban heritage values, including vitality, health, efficiency, and equity, while accommodating the interests of diverse stakeholders. Full article
(This article belongs to the Special Issue Sustainable Conservation of Urban and Cultural Heritage)
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<p>Distribution of typical courtyard house types in China (based on a map of the People’s Republic of China by the State Bureau of Surveying and Mapping, Map Approval Number: GS(2019)1682 and [<a href="#B67-sustainability-16-08089" class="html-bibr">67</a>]).</p>
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<p>The main spatial layout types of traditional courtyard houses in Jinan ((<b>a</b>–<b>d</b>) show the traditional one-entry courtyard houses in Jinan; (<b>f</b>–<b>i</b>) show the courtyard houses with east-west oriented main gates; (<b>e</b>) shows a courtyard house with a side corridor; and (<b>j</b>,<b>k</b>) show the courtyard houses with two courtyards).</p>
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<p>Distribution of major architectural heritage in Jiangjunmiao Historic District of Jinan.</p>
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<p>Spatial characteristics of courtyard-style historic buildings in Jiangjunmiao Historic District of Jinan (based on the open data of Jinan Natural Resources and Planning Bureau).</p>
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<p>Aerial view of No. 55 Qiming Street.</p>
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<p>Photo of No. 55 Qiming Street in its current state.</p>
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<p>Site plan of No. 55 Qiming Street.</p>
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<p>Plans of No. 55 Qiming Street.</p>
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<p>Mechanisms for modeling urban heritage regeneration.</p>
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<p>Heritage self-renewal model operational mechanisms.</p>
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<p>Axonometric view of the self-renewal strategy at No. 55 Qiming Street.</p>
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<p>Self-renewal building section perspective view of the self-renewal strategy at No. 55 Qiming Street.</p>
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<p>Heritage revitalization model operational mechanisms.</p>
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<p>Three types of restroom modules.</p>
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<p>Heritage transformation model.</p>
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<p>Spatial relationship between the renovated building on the south side and the north courtyard.</p>
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19 pages, 1231 KiB  
Article
The Effect of Payment Delay on Consumer Purchase Intention
by Minkyung Choy
Adm. Sci. 2024, 14(9), 226; https://doi.org/10.3390/admsci14090226 - 16 Sep 2024
Abstract
While previous studies have focused on the form of payment methods as a criterion, this study proposes payment delay as a new criterion and examines the relationship between consumers’ need for closure (NFC) and temporal construal in payment situations. Three empirical studies were [...] Read more.
While previous studies have focused on the form of payment methods as a criterion, this study proposes payment delay as a new criterion and examines the relationship between consumers’ need for closure (NFC) and temporal construal in payment situations. Three empirical studies were conducted with participants who had experience with plastic card payments to ensure they understood the concept of payment delay. Participants with a low NFC tended to construe payment situations more abstractly, leading to increased purchase intentions for hedonic products when payment was delayed and for utilitarian products when it was not. In contrast, participants with a high NFC exhibited higher purchase intentions for hedonic products when payment was delayed but no significant difference for utilitarian products based on payment delay. The findings provide implications for strategies to mitigate excessive hedonic consumption through credit card payments and address reluctance toward credit card use stemming from consumers’ aversion to debt or uncertainty. Full article
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<p>Research model.</p>
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<p>Perceived abstractness as a function of payment delay and NFC.</p>
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<p>(<b>a</b>) Purchase intention of participants with a low NFC. (<b>b</b>) Purchase intention of participants with a high NFC.</p>
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<p>(<b>a</b>) Purchase intention of participants with a low NFC. (<b>b</b>) Purchase intention of participants with a high NFC.</p>
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<p>Choice of installment duration plan.</p>
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21 pages, 1481 KiB  
Review
The Role of Mesenchymal Stem Cells in Modulating Adaptive Immune Responses in Multiple Sclerosis
by Sepehr Dadfar, Esmaeil Yazdanpanah, Alireza Pazoki, Mohammad Hossein Nemati, Majid Eslami, Dariush Haghmorad and Valentyn Oksenych
Cells 2024, 13(18), 1556; https://doi.org/10.3390/cells13181556 - 16 Sep 2024
Abstract
Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system, leading to significant disability through neurodegeneration. Despite advances in the understanding of MS pathophysiology, effective treatments remain limited. Mesenchymal stem cells (MSCs) have gained attention as a potential therapeutic option [...] Read more.
Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system, leading to significant disability through neurodegeneration. Despite advances in the understanding of MS pathophysiology, effective treatments remain limited. Mesenchymal stem cells (MSCs) have gained attention as a potential therapeutic option due to their immunomodulatory and regenerative properties. This review examines MS pathogenesis, emphasizing the role of immune cells, particularly T cells, in disease progression, and explores MSCs’ therapeutic potential. Although preclinical studies in animal models show MSC efficacy, challenges such as donor variability, culture conditions, migratory capacity, and immunological compatibility hinder widespread clinical adoption. Strategies like genetic modification, optimized delivery methods, and advanced manufacturing are critical to overcoming these obstacles. Further research is needed to validate MSCs’ clinical application in MS therapy. Full article
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<p>Pathophysiology of multiple sclerosis (MS). MS is an autoimmune neuroinflammatory disease marked by the breakdown of immunological self-tolerance and activation of both innate and adaptive immune systems. Key players include myelin-specific T cells, particularly Th1 and Th17 cells, which drive CNS inflammation and demyelination. Th1 cells secrete proinflammatory cytokines like IFN-γ and TNF-α. Th17 cells produce IL-17 and other cytokines, contributing to blood–brain barrier disruption and CNS lesions. Regulatory T cells (Treg) and Th2 cells counteract inflammation, promoting symptom improvement. Th1 and Th17 cells play complementary roles in MS pathogenesis, while Th2 cells, induced by IL-4, produce anti-inflammatory cytokines (IL-4, IL-10), reducing inflammation and improving symptoms. CD8<sup>+</sup> T cells (CTLs) predominate in CNS lesions, secreting proinflammatory cytokines (TNFα, IFN-γ) and exhibiting cytotoxicity via perforin and granzyme. They can also produce IL-10, suggesting a regulatory role. B cells contribute to MS pathogenesis through antigen presentation. BBB: blood–brain barrier; TH: T helper cell; TCR: T cell receptor; MHC: major histocompatibility complex; CTL: cytotoxic T lymphocyte; IL: interleukin; TNF: tumor necrosis factor; IFN: interferon.</p>
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<p>The interplay between MSCs and immune cells. MSCs modulate immune responses by interacting with T, B, NK cells, and DCs. They promote anti-inflammatory phenotypes (Th2, Treg) and inhibit proinflammatory phenotypes (Th1, Th17). MSCs suppress cytotoxic T cell (CTL) proliferation and function, inhibiting B cell differentiation and antibody production. They also modulate dendritic cell (DC) maturation and function, polarize macrophages from the M1 to the M2 phenotype, and suppress NK cell activity through cytokines. NK: natural killer cells; IL: interleukin; IFN: interferon; MQ: macrophage; CTL: cytotoxic T lymphocyte; T-reg: regulatory T cell; Th: T helper cell; TGF: transforming growth factor; PGE: prostaglandin E; NF-κB: nuclear factor kappa-light-chain-enhancer of activated B cells; STAT3: signal transducer and activator of transcription 3; HLA: human leukocyte antigen.</p>
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<p>The therapeutic effects of mesenchymal stem cells (MSCs) in the experimental autoimmune encephalomyelitis (EAE) model. The immune modulatory signs that have been observed in EAE animal models that received MSCs derived from various tissues, including adipose, bone marrow, and dental, include an increase in CD4<sup>+</sup> CD25<sup>+</sup> FoxP3<sup>+</sup>Treg differentiation from naïve T cell against a decrease in Th1 and Th17 induction. This has led to a rise in the production of anti-inflammatory cytokines like TGF-β and IL-10 and a reduction in the production of proinflammatory cytokines like IL-17, IL-1β, and IFN-<math display="inline"><semantics> <mi>γ</mi> </semantics></math>. Furthermore, MSCs can reduce TNF-α production (not shown in the image) by causing M1 macrophages to polarize into M2 macrophages, alleviating EAE.</p>
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30 pages, 6389 KiB  
Article
Biosynthesis of Silver Nanoparticles Using Barleria albostellata C.B. Clarke Leaves and Stems: Antibacterial and Cytotoxic Activity
by Serisha Gangaram, Yougasphree Naidoo, Yaser Hassan Dewir, Moganavelli Singh, Johnson Lin, Aliscia Nicole Daniels and Nóra Mendler-Drienyovszki
Appl. Sci. 2024, 14(18), 8331; https://doi.org/10.3390/app14188331 (registering DOI) - 16 Sep 2024
Viewed by 167
Abstract
Silver nanoparticles (AgNPs) have increasingly gained attention owing to their distinctive physicochemical and biological properties. The objective of the investigation was to biologically synthesize AgNPs using plant extracts from Barleria albostellata. The synthesized AgNPs, obtained from B. albostellata (leaves and stems), were [...] Read more.
Silver nanoparticles (AgNPs) have increasingly gained attention owing to their distinctive physicochemical and biological properties. The objective of the investigation was to biologically synthesize AgNPs using plant extracts from Barleria albostellata. The synthesized AgNPs, obtained from B. albostellata (leaves and stems), were characterized through various techniques including UV-visible spectroscopy, scanning electron microscopy (SEM), high-resolution transmission electron microscopy (HRTEM), energy-dispersive X-ray analysis, Fourier transform infrared (FTIR) spectral analysis, and nanoparticle tracking analysis (NTA). The antibacterial efficacy of the synthesized AgNPs was evaluated utilizing the disk diffusion method. The cytotoxicity effects of the synthesized AgNPs were determined using the MTT assay (3-[(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide]) in cervical cancer (HeLa), embryonic kidney (HEK293), and breast adenocarcinoma (MCF-7) cell lines. The results indicate that B. albostellata extracts could serve as eco-friendly biofactories for the synthesis of AgNPs. UV-vis spectroscopy of the leaf and stem extracts revealed absorption peaks within the range of 400–450 nm, thereby confirming the synthesis of AgNPs. Elemental Ag was highest in the methanol leaf extracts (16.87 ± 0.89%) and lowest in the powdered stem extracts (7.13 ± 1.44%). Synthesized AgNPs were predominantly spherical in shape. HRTEM revealed that synthesized AgNPs from the methanolic stem extracts (34.32 ± 16.99 nm) were larger in size, while those from the powdered stem extracts were smaller (16.57 ± 5.55 nm). AgNPs synthesized from both the leaf and stem extracts exhibited zeta potential values between −8.8 and −32.1 mV, with hydrodynamics diameters ranging from 34.3 to 111.3 nm. FTIR spectroscopy confirmed the presence of various functional groups on the AgNPs. AgNPs synthesized from the leaf and stem extracts displayed significant antibacterial activity and were sensitive to Gram-negative and Gram-positive bacteria. AgNPs exhibited significant antibacterial activity (diameter of the zone of inhibition) against Pseudomonas aeruginosa (21.67 ± 2.87 mm) in the leaf methanolic extract. Synthesized AgNPs exhibited selective in vitro cytotoxicity against HEK293, HeLa, and MCF-7 cell lines. The IC50 values of the AgNPs synthesized from the various extracts were all above 9 µg/mL. Significant cytotoxic levels (IC50 16.11 and 27.23 µg/mL) were observed for the MCF-7 cell line upon exposure to the methanolic leaf and stem AgNPs. This study recommends the use of medicinal plant extracts in producing economically effective AgNPs, due to their efficient capping. Overall, AgNPs synthesized from B. albostellata extracts comprised novel antibacterial and anticancer agents, and warrant further investigation. Bio-synthesized AgNPs show great potential in the area of nanotechnology and may be used as an affordable, eco-friendly alternative for the delivery of conventional therapeutics. Full article
(This article belongs to the Special Issue Advances in Biological Activities and Application of Plant Extracts)
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<p>Silver nanoparticles synthesized from <span class="html-italic">B. albostellata</span> leaf and stem extracts: (<b>A</b>) Leaf and stem methanolic extracts before AgNP synthesis; (<b>B</b>) Leaf and stem methanolic extracts after incubation with AgNO<sub>3</sub>; (<b>C</b>) Fresh leaf and stem extracts before AgNP synthesis; (<b>D</b>) Fresh leaf and stem extracts after incubation with AgNO<sub>3</sub>; (<b>E</b>) Powdered leaf and stem extracts before AgNP synthesis; (<b>F</b>) Powdered leaf and stem extracts after incubation with AgNO<sub>3</sub>.</p>
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<p>UV-visible spectroscopy of AgNPs synthesized from methanol, fresh and powdered leaves, and stem extracts of <span class="html-italic">B. albostellata</span> after 3 h incubation with AgNO<sub>3</sub>. ML = Methanol leaf; MS = Methanol stem; FL = Fresh leaf; FS = Fresh stem; PL = Powdered leaf; PS = Powdered stem.</p>
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<p>Micrographs of AgNPs synthesized from the methanol leaf extracts (<b>A</b>,<b>B</b>) and stem extracts (<b>C</b>,<b>D</b>) of <span class="html-italic">B. albostellata</span>. (<b>A</b>,<b>C</b>) Aggregated AgNPs; (<b>B</b>,<b>D</b>) EDX spectroscopy. Circles indicate AgNP agglomeration.</p>
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<p>Micrographs of AgNPs synthesized from the fresh leaf extracts (<b>A</b>,<b>B</b>) and fresh stem extracts (<b>C</b>,<b>D</b>) of <span class="html-italic">B. albostellata</span>. (<b>A</b>,<b>C</b>) Aggregated AgNPs; (<b>B</b>,<b>D</b>) EDX spectroscopy. Circles indicate AgNP agglomeration.</p>
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<p>Micrographs of AgNPs synthesized from the powder leaf extracts (<b>A</b>,<b>B</b>) and powder stem extracts (<b>C</b>,<b>D</b>) of <span class="html-italic">B. albostellata</span>. (<b>A</b>,<b>C</b>) Aggregated AgNPs; (<b>B</b>,<b>D</b>) EDX spectroscopy. Circles indicate AgNP agglomeration.</p>
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<p>HRTEM micrographs of the AgNPs synthesized from (<b>A</b>,<b>B</b>) methanolic leaf extracts; (<b>C</b>,<b>D</b>) methanolic stem extracts, (<b>E</b>,<b>F</b>) fresh leaf extracts; (<b>G</b>,<b>H</b>) fresh stem extracts, and (<b>I</b>,<b>J</b>) powdered leaf extracts; (<b>K</b>,<b>L</b>) powdered stem extracts of <span class="html-italic">B. albostellata</span>. Arrowhead indicates film around AgNPs.</p>
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<p>The mean particle size of synthesized AgNPs. (<b>A</b>) methanolic leaf extracts; (<b>B</b>) methanolic stem extracts; (<b>C</b>) aqueous fresh leaf extracts; (<b>D</b>) aqueous fresh stem extracts; (<b>E</b>) powdered leaf extracts; (<b>F</b>) powdered stem extracts of <span class="html-italic">B. albostellata</span>.</p>
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<p>FTIR spectra of synthesized AgNPs synthesized. (<b>A</b>) leaf methanolic extracts; (<b>B</b>) Stem methanolic extracts of <span class="html-italic">B. albostellata</span>.</p>
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<p>FTIR spectra of synthesized AgNPs synthesized. (<b>A</b>) leaf methanolic extracts; (<b>B</b>) Stem methanolic extracts of <span class="html-italic">B. albostellata</span>.</p>
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<p>FTIR spectra of the synthesized AgNPs. (<b>A</b>) aqueous fresh leaf extracts; (<b>B</b>) aqueous fresh stem extracts of <span class="html-italic">B. albostellata</span>.</p>
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<p>FTIR spectra of the synthesized AgNPs. (<b>A</b>) powdered leaf extracts; (<b>B</b>) powdered stem extracts of <span class="html-italic">B. albostellata</span>.</p>
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<p>The in vitro cytotoxicity assessment (% cell viability) of silver nanoparticles (AgNPs) derived from the leaf and stem extracts of <span class="html-italic">B. albostellata</span>. (<b>A</b>) HEK293 human embryonic kidney cells; (<b>B</b>) HeLa cervical carcinoma cells; (<b>C</b>) MCF-7 breast adenocarcinoma cells. (* <span class="html-italic">p</span> &lt;0.05 and ** <span class="html-italic">p</span> &lt;0.001 were deemed statistically significant across the varying concentrations, ranging from 15 to 240 µg/mL). The results are expressed as means ± standard deviation (SD), with <span class="html-italic">n</span> = 3, and represented as a percentage relative to the control sample. Control Leaves 1—cells only; Control Stems 1—cells only; Control Leaves 2—DMSO control only; Control Stems 2—DMSO control; LM—Leaf methanol extract; SM—Stem methanol extract; FL—Fresh leaf material; FS—Fresh stem material; PL—Ground leaf powder; PS—Ground stem powder.</p>
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<p>The in vitro cytotoxicity assessment (% cell viability) of silver nanoparticles (AgNPs) derived from the leaf and stem extracts of <span class="html-italic">B. albostellata</span>. (<b>A</b>) HEK293 human embryonic kidney cells; (<b>B</b>) HeLa cervical carcinoma cells; (<b>C</b>) MCF-7 breast adenocarcinoma cells. (* <span class="html-italic">p</span> &lt;0.05 and ** <span class="html-italic">p</span> &lt;0.001 were deemed statistically significant across the varying concentrations, ranging from 15 to 240 µg/mL). The results are expressed as means ± standard deviation (SD), with <span class="html-italic">n</span> = 3, and represented as a percentage relative to the control sample. Control Leaves 1—cells only; Control Stems 1—cells only; Control Leaves 2—DMSO control only; Control Stems 2—DMSO control; LM—Leaf methanol extract; SM—Stem methanol extract; FL—Fresh leaf material; FS—Fresh stem material; PL—Ground leaf powder; PS—Ground stem powder.</p>
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21 pages, 607 KiB  
Review
Understanding Amyotrophic Lateral Sclerosis: Pathophysiology, Diagnosis, and Therapeutic Advances
by Radu Eugen Rizea, Antonio-Daniel Corlatescu, Horia Petre Costin, Adrian Dumitru and Alexandru Vlad Ciurea
Int. J. Mol. Sci. 2024, 25(18), 9966; https://doi.org/10.3390/ijms25189966 (registering DOI) - 15 Sep 2024
Viewed by 325
Abstract
This review offers an in-depth examination of amyotrophic lateral sclerosis (ALS), addressing its epidemiology, pathophysiology, clinical presentation, diagnostic techniques, and current as well as emerging treatments. The purpose is to condense key findings and illustrate the complexity of ALS, which is shaped by [...] Read more.
This review offers an in-depth examination of amyotrophic lateral sclerosis (ALS), addressing its epidemiology, pathophysiology, clinical presentation, diagnostic techniques, and current as well as emerging treatments. The purpose is to condense key findings and illustrate the complexity of ALS, which is shaped by both genetic and environmental influences. We reviewed the literature to discuss recent advancements in understanding molecular mechanisms such as protein misfolding, mitochondrial dysfunction, oxidative stress, and axonal transport defects, which are critical for identifying potential therapeutic targets. Significant progress has been made in refining diagnostic criteria and identifying biomarkers, leading to earlier and more precise diagnoses. Although current drug treatments provide some benefits, there is a clear need for more effective therapies. Emerging treatments, such as gene therapy and stem cell therapy, show potential in modifying disease progression and improving the quality of life for ALS patients. The review emphasizes the importance of continued research to address challenges such as disease variability and the limited effectiveness of existing treatments. Future research should concentrate on further exploring the molecular foundations of ALS and developing new therapeutic approaches. The implications for clinical practice include ensuring the accessibility of new treatments and that healthcare systems are equipped to support ongoing research and patient care. Full article
(This article belongs to the Special Issue Molecular Research of Amyotrophic Lateral Sclerosis)
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<p>Role of Chitinase as a Biomarker in ALS Pathophysiology. This image illustrates how activated microglia and astrocytes in ALS contribute to chitinase expression, which serves as a biomarker for disease progression and therapeutic monitoring.</p>
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24 pages, 5133 KiB  
Review
Advancements in Microfluidic Platforms for Glioblastoma Research
by Rachana Raman, Vijendra Prabhu, Praveen Kumar and Naresh Kumar Mani
Chemistry 2024, 6(5), 1039-1062; https://doi.org/10.3390/chemistry6050060 (registering DOI) - 15 Sep 2024
Viewed by 242
Abstract
Glioblastoma (GBM) is a malignant cancer affecting the brain. As per the WHO classifications, it is a grade IV glioma and is characterized by heterogenous histopathology, high recurrence rates, and a high median age of diagnosis. Most individuals diagnosed with GBM are aged [...] Read more.
Glioblastoma (GBM) is a malignant cancer affecting the brain. As per the WHO classifications, it is a grade IV glioma and is characterized by heterogenous histopathology, high recurrence rates, and a high median age of diagnosis. Most individuals diagnosed with GBM are aged between 50 and 64 years, and the prognosis is often poor. Untreated GBM patients have a median survival of 3 months, while treatments with Temozolomide (TMZ) and radiotherapy can improve the survival to 10–14 months. Tumor recurrence is common, owing to the inefficiency of surgical resection in removing microscopic tumor formations in the brain. A crucial component of GBM-related research is understanding the tumor microenvironment (TME) and its characteristics. The various cellular interactions in the TME contribute to the higher occurrence of malignancy, resistance to treatments, and difficulty in tumor resection and preventative care. Incomplete pictures of the TME have been obtained in 2D cultures, which fail to incorporate the ECM and other crucial components. Identifying the hallmarks of the TME and developing ex vivo and in vitro models can help study patient-specific symptoms, assess challenges, and develop courses of treatment in a timely manner which is more efficient than the current methods. Microfluidic models, which incorporate 3D cultures and co-culture models with various channel patterns, are capable of stimulating tumor conditions accurately and provide better responses to therapeutics as would be seen in the patient. This facilitates a more refined understanding of the potential treatment delivery systems, resistance mechanisms, and metastatic pathways. This review collates information on the application of such microfluidics-based systems to analyze the GBM TME and highlights the use of such systems in improving patient care and treatment options. Full article
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<p>Overview of the potential materials for chips, major fabrication techniques, components of microfluidic chips for disease-related applications, and applications in biology.</p>
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<p>Integration of microfluidics in GBM research has several important applications (Created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>).</p>
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<p>Symptoms associated with GBM, with corresponding tumor locations and diagnosis methods. (Created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>).</p>
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<p>Cells found in the TME, along with the main components needed for niche formation and the resulting features that define GBM. (Created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>).</p>
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<p>(<b>A</b>): Biomarkers in GBM that are associated with different processes related to tumor maintenance and proliferation. They are used to quantify effects such as metastasis, proliferation and tumor recurrence [<a href="#B49-chemistry-06-00060" class="html-bibr">49</a>]. (Created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>). (<b>B</b>): Biomarkers in GBM that are associated with different processes related to tumor maintenance and proliferation. They are used to quantify effects such as metastasis, proliferation, chemoresistance, and tumor recurrence [<a href="#B49-chemistry-06-00060" class="html-bibr">49</a>]. (Created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>).</p>
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<p>(<b>A</b>): Biomarkers in GBM that are associated with different processes related to tumor maintenance and proliferation. They are used to quantify effects such as metastasis, proliferation and tumor recurrence [<a href="#B49-chemistry-06-00060" class="html-bibr">49</a>]. (Created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>). (<b>B</b>): Biomarkers in GBM that are associated with different processes related to tumor maintenance and proliferation. They are used to quantify effects such as metastasis, proliferation, chemoresistance, and tumor recurrence [<a href="#B49-chemistry-06-00060" class="html-bibr">49</a>]. (Created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>).</p>
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<p>Current treatment and pre-clinical models being used contrasted to the emerging techniques for GBM. (Created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>).</p>
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<p>(<b>A</b>) Sorting technique that utilizes forces generated in spiral microfluidic technology to isolate CTCS from blood samples [<a href="#B27-chemistry-06-00060" class="html-bibr">27</a>]. (<b>B</b>) Parsortix system used to separate and collect chosen samples, which are CTCs in this case, for analysis and testing [<a href="#B32-chemistry-06-00060" class="html-bibr">32</a>]. (Created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>).</p>
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<p>Bioprinting techniques are an emerging method of creating microfluidic chips with co-culture systems for drug testing and development [<a href="#B19-chemistry-06-00060" class="html-bibr">19</a>]. (Created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>).</p>
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<p>(<b>A</b>) Construction of microfluidic platform for nanoparticle-loaded macrophage delivery to tumors, serving the dual function of tumor clearance/killing, as well as personalized and targeted treatment delivery [<a href="#B33-chemistry-06-00060" class="html-bibr">33</a>]. (<b>B</b>) Construction of TME and Tumor model for the study of GBM using ECM components [<a href="#B26-chemistry-06-00060" class="html-bibr">26</a>]. (Created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>).</p>
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<p>Applications of various microfluidic devices used in GBM-related studies. (Created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>).</p>
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18 pages, 2198 KiB  
Article
The Influence of Microalgae Fertilizer on Soil Water Conservation and Soil Improvement: Yield and Quality of Potted Tomatoes
by Chao Li, Yaqi Liang, Qingfeng Miao, Xiang Ji, Pengcheng Duan and Dong Quan
Agronomy 2024, 14(9), 2102; https://doi.org/10.3390/agronomy14092102 - 15 Sep 2024
Viewed by 235
Abstract
We aim to study the impact of microalgae fertilizer on soil nutrients, water conservation and crop yield and quality while also determining the optimal ratio of microalgae fertilizer to chemical fertilizer. Using “Xinoufen No.9” tomatoes as the test subject, we conducted pot experiments [...] Read more.
We aim to study the impact of microalgae fertilizer on soil nutrients, water conservation and crop yield and quality while also determining the optimal ratio of microalgae fertilizer to chemical fertilizer. Using “Xinoufen No.9” tomatoes as the test subject, we conducted pot experiments with four different treatments: control with 100% chemical fertilizer (CK), T1 (25% microalgae fertilizer + 75% regular chemical fertilizer), T2 (75% microalgae fertilizer + 25% regular chemical fertilizer) and T3 (100% microalgae fertilizer). The results show that an increased application of microalgae fertilizer enhanced the soil organic matter, ammonium nitrogen, available phosphorus and potassium content. T3 showed the most improvement followed by T2. The co-application of microalgae fertilizer with chemical fertilizer can significantly increase the stem girth, plant height and yield of tomatoes. At the same time, microalgae fertilizer effectively regulates leaf stomatal conductance, promoting tomato leaf respiration. As the stomatal conductance increases, the transpiration rate and net photosynthesis rate of all treatments improve, followed by a decline in intercellular CO2 concentration, with T2 exhibiting the best performance. Among all treatments, T2 treatment yielded the highest per-plant production (0.630 kg), followed by T3 (0.521 kg). This is because the microalgae fertilizer promotes the distribution of photosynthetic products to the fruit, enhancing the yield and quality of tomatoes. Additionally, the microalgae fertilizer also increases the content of soluble sugars, soluble protein, vitamin C and lycopene in the fruit while reducing the nitrate content. Compared to the control group CK, T2 increases the content of soluble sugars, vitamins and lycopene by 26.74%, 39.29% and 158.31%, respectively. Microalgae fertilizer also helps to improve soil water and thermal conditions, enhancing the water-use efficiency of tomatoes. Compared to CK, the water-use efficiency of T2 treatment increased by 54.05%. Correlation analysis indicates that water and fertilizer factors significantly affect tomato yield, with a correlation exceeding 70%. The net photosynthesis and transpiration rates significantly influence fruit quality, with correlations above 80%. By applying microalgae fertilizer, the efficiency of water and fertilizer use can be effectively improved, thus achieving the goal of water conservation and quality enhancement. Therefore, through comprehensive analysis, using the membership function method of indicators such as soil environment, crop yield, fruit quality and water-use efficiency, it is concluded that T2 is the optimal fertilization treatment. This study provides theoretical support for the application of microalgae biofertilizer technology in the cultivation of tomatoes and other vegetables in the northern, cold and arid regions. Full article
(This article belongs to the Section Horticultural and Floricultural Crops)
12 pages, 1258 KiB  
Article
Cancer Stem Cell Marker CD147 Expression in Erosive Oral Lichen Planus Compared to Moderately and Severely Dysplastic Leukoplakia
by Vasileios Zisis, Nikolaos Nikitas Giannakopoulos, Athanasios Poulopoulos, Marc Schmitter and Dimitrios Andreadis
Reports 2024, 7(3), 77; https://doi.org/10.3390/reports7030077 (registering DOI) - 15 Sep 2024
Viewed by 171
Abstract
Oral lichen planus is a frequent, chronic autoimmune disease that affects the oral mucosa and is characterized as an oral potentially malignant disorder. The aim of our study is to examine the presence of CSCs bearing CD147 (a marker related to local inflammation [...] Read more.
Oral lichen planus is a frequent, chronic autoimmune disease that affects the oral mucosa and is characterized as an oral potentially malignant disorder. The aim of our study is to examine the presence of CSCs bearing CD147 (a marker related to local inflammation and associated with various cancers) through immunohistochemistry in oral lichen planus (OLP) compared to oral leukoplakia (OL) and healthy tissues. These findings could contribute to clinical practice by providing a marker for the prognostic assessment of OLP lesions with regards to their potentially malignant nature. The study sample consisted of paraffin-embedded oral mucosa specimens from the archives of the Department of Oral Medicine/Pathology, School of Dentistry, Aristotle University of Thessaloniki, Greece during the period 2009–2019. The study sample contained 24 cases of OLP (14 erosive and 10 reticular) and 30 cases of oral leukoplakia, which were compared to 5 normal oral epithelium samples derived from healthy epithelium adjacent to fibromas from other cases. Cell membrane staining of CD147 was observed mostly in the basal and parabasal cell layer. The statistically significantly higher expression of CD147 in the erosive lichen planus subgroup than in the moderately and severely dysplastic leukoplakia subgroup (p = 0.01) constituted the most important finding of this study. The characteristic expression of CD147 in erosive OLP suggests the presence of epithelial cells with CSC characteristics, but its lower expression in oral leukoplakias suggests a more intense relation of the CD147 marker with inflammation rather than with oral dysplastic progression. Full article
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<p>Difference between A1 and B2 regarding CD147. On the y-axis, the number of the samples, stained for CD147, per category is depicted. The categories are A1 (reticular lichen planus, dark blue) and B2 (mildly dysplastic and non-dysplastic leukoplakia, gray). On the x-axis, category 1 represents the score of the samples (all of them were scored as 1).</p>
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<p>Differences among A, B, D, A1, A2, B1 and B2 regarding CD147. On the y-axis, the number of samples, stained for CD147, per category is depicted. The upper right statistical categories correspond to A (lichen planus, light blue), B (leukoplakia, red), D (normal oral epithelium, yellow), A1 (reticular lichen planus, dark blue), A2 (erosive lichen planus, pink), B1 (moderately and severely dysplastic leukoplakia, mauve) and B2 (mildly dysplastic and non-dysplastic leukoplakia, gray). On the x-axis, category 0 represents the samples scored with 0, category 1 represents the samples scored with 1 and category 2 represents the samples scored with 2. (<b>A</b>): Comparison between lichen planus and leukoplakia. (<b>B</b>): The comparison between lichen planus and normal oral epithelium. (<b>C</b>): Comparison between reticular lichen planus and erosive lichen planus. (<b>D</b>): Comparison between reticular lichen planus and moderately and severely dysplastic leukoplakia. (<b>E</b>): Comparison between erosive lichen planus and moderately and severely dysplastic leukoplakia. (<b>F</b>): Comparison between erosive lichen planus and mildly dysplastic and non-dysplastic leukoplakia.</p>
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<p>(<b>A</b>): Membranous staining of CD147 in the lower third of the epithelium (×40) in a case of reticular lichen planus. The blue arrows show the membranous staining of the basal cell layer. The yellow arrows show the membranous staining of the parabasal cell layer. (<b>B</b>): Membranous staining of CD147 in the lower and middle third of the epithelium (×20) in a case of erosive lichen planus. The blue arrows show the membranous staining of the basal cell layer. The blue bracket outlines the positively stained lower and middle third of the epithelium.</p>
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18 pages, 1822 KiB  
Review
Biochemical Pathways Delivering Distinct Glycosphingolipid Patterns in MDA-MB-231 and MCF-7 Breast Cancer Cells
by Anita Markotić, Jasminka Omerović, Sandra Marijan, Nikolina Režić-Mužinić and Vedrana Čikeš Čulić
Curr. Issues Mol. Biol. 2024, 46(9), 10200-10217; https://doi.org/10.3390/cimb46090608 (registering DOI) - 15 Sep 2024
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Abstract
The complex structure of glycosphingolipids (GSLs) supports their important role in cell function as modulators of growth factor receptors and glutamine transporters in plasma membranes. The aberrant composition of clustered GSLs within signaling platforms, so-called lipid rafts, inevitably leads to tumorigenesis due to [...] Read more.
The complex structure of glycosphingolipids (GSLs) supports their important role in cell function as modulators of growth factor receptors and glutamine transporters in plasma membranes. The aberrant composition of clustered GSLs within signaling platforms, so-called lipid rafts, inevitably leads to tumorigenesis due to disturbed growth factor signal transduction and excessive uptake of glutamine and other molecules needed for increased energy and structural molecule cell supply. GSLs are also involved in plasma membrane processes such as cell adhesion, and their transition converts cells from epithelial to mesenchymal with features required for cell migration and metastasis. Glutamine activates the mechanistic target of rapamycin complex 1 (mTORC1), resulting in nucleotide synthesis and proliferation. In addition, glutamine contributes to the cancer stem cell GD2 ganglioside-positive phenotype in the triple-negative breast cancer cell line MDA-MB-231. Thieno[2,3-b]pyridine derivative possesses higher cytotoxicity against MDA-MB-231 than against MCF-7 cells and induces a shift to aerobic metabolism and a decrease in S(6)nLc4Cer GSL-positive cancer stem cells in the MDA-MB-231 cell line. In this review, we discuss findings in MDA-MB-231, MCF-7, and other breast cancer cell lines concerning their differences in growth factor receptors and recent knowledge of the main biochemical pathways delivering distinct glycosphingolipid patterns during tumorigenesis and therapy. Full article
(This article belongs to the Special Issue Latest Review Papers in Molecular Biology 2024)
Show Figures

Figure 1

Figure 1
<p>Ceramide synthesis.</p>
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<p>Structure of glycosphingolipid Gg3Cer. Acetamide group of N-acetylglucosamine is marked in red. <span class="html-italic">Trans</span> double bond within sphingosine, responsible for lipid raft formation, is marked in green.</p>
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<p>The interplay of growth factor and estrogen signaling in breast cancer cell proliferation, survival, and migration. Higher activation of PLCγ and mTOR is expected in MCF-7 cells containing ER, HER3, and a low level of HER2, which are absent in MDA-MB-231 cells. Compound <b>1</b>, as an inhibitor of PLCγ, is effective in lowering the percentage of MDA-MB-231 but not MCF-7 CSCs. Abbreviations: AKT, protein kinase B or Akt; Compound <b>1</b> or thieno[2,3-<span class="html-italic">b</span>]pyridine derivative, 3-amino-<span class="html-italic">N</span>-(3-chloro-2-methylphenyl)-5-oxo-5,6,7,8-tetrahydrothieno[2,3-<span class="html-italic">b</span>]quinoline-2-carboxamide; E, estrogen; ER, estrogen receptor; mTORC1 and mTORC2, mechanistic targets of rapamycin complex I and II; PDK1, 3-phosphoinositide-dependent kinase 1; PI3K, phosphoinositide 3-kinase; PIP<sub>3</sub>, phosphatidylinositol 3,4,5-trisphosphate; and PLC gamma, phospholipase C gamma. Created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>.</p>
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<p>Synthesis of ganglioseries GSLs catalyzed by enzymes, written with blue letters, induced in breast CSCs [<a href="#B72-cimb-46-00608" class="html-bibr">72</a>,<a href="#B75-cimb-46-00608" class="html-bibr">75</a>] and of neolactoseries GSLs. Percentages of CSCs positive for red and blue framed GSLs were decreased and increased, respectively, after thieno[2,3-<span class="html-italic">b</span>]pyridine derivative (Compound <b>1</b>, yellow letters) treatment in MDA-MB-231 (red arrow) and MCF-7 (blue arrow) cells, respectively [<a href="#B2-cimb-46-00608" class="html-bibr">2</a>]. Abbreviations: In the ganglioside nomenclature, G = ganglioside, with the corresponding number of the sialic acid residues described with letters (M = mono, D = di), and the numbers denote the number of neutral sugar residues that are required to reach the number 5 (1 = GalGalNAcGalGlc, 2 = GalNAcGalGlc, 3 = GalGlc). Glycosidic residues: Gal = galactose, Glc = glucose, GlcNAc = N-acetylglucosamine, GalNAc = N-acetylgalactosamine. Neutral GSLs: Gg3Cer = gangliotriaosylceramide, Gg4Cer = gangliotetraosylceramide, Lc3Cer = lactotriaosylceramide, nLc4Cer = neolactotetraosylceramide. Acidic GSL: S(6)nLc4Cer = sialyl residue bound by α2-3 glycosidic bond to nLc4Cer. UGCG = UDP-glucose ceramide glycosyltransferase. In the nomenclature of other glycosyltransferases, the letter B = β-glycosidic bond, GALNT = N-acetylgalactosaminyltransferase, ST = sialyltransferase. Numbers within the name of β4-N-acetylgalactosaminyltransferase 1, B4GALNT1, represent the glycosidic bond between carbon C1 of the N-acetylgalactosaminyl residue and C4 of the galactosyl residue of LacCer in Gg3Cer, shown precisely in <a href="#cimb-46-00608-f002" class="html-fig">Figure 2</a>.</p>
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<p>The interplay of glycosphingolipid metabolism with other metabolic pathways, which results in distinct metabolite and GSL expression findings in MDA-MB-231 and MCF-7 breast cancer cells after thieno[2,3-<span class="html-italic">b</span>]pyridine derivative treatment. Blue arrows and blue letters indicate the direction of metabolic reactions in MCF-7 cells, while red arrows and red letters indicate reactions in MDA-MB-231 cells. The red arrow from Ac-CoA to the citrate molecule indicates its catabolism in the citric acid cycle for aerobic energy production in the MDA-MB-231 cell line. Black arrows indicate common reactions for both cell lines; * <span class="html-italic">p</span> &lt; 0.05; *** <span class="html-italic">p</span> &lt; 0.001.</p>
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