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23 pages, 1193 KiB  
Review
HERVs Endophenotype in Autism Spectrum Disorder: Human Endogenous Retroviruses, Specific Immunoreactivity, and Disease Association in Different Family Members
by Marco Bo, Alessandra Carta, Chiara Cipriani, Vanna Cavassa, Elena Rita Simula, Nguyen Thi Huyen, Giang Thi Hang Phan, Marta Noli, Claudia Matteucci, Stefano Sotgiu, Emanuela Balestrieri and Leonardo Antonio Sechi
Microorganisms 2025, 13(1), 9; https://doi.org/10.3390/microorganisms13010009 - 24 Dec 2024
Viewed by 383
Abstract
Increasing evidence indicates that human endogenous retroviruses (HERVs) are important to human health and are an underexplored component of many diseases. Certain HERV families show unique expression patterns and immune responses in autism spectrum disorder (ASD) patients compared to healthy controls, suggesting their [...] Read more.
Increasing evidence indicates that human endogenous retroviruses (HERVs) are important to human health and are an underexplored component of many diseases. Certain HERV families show unique expression patterns and immune responses in autism spectrum disorder (ASD) patients compared to healthy controls, suggesting their potential as biomarkers. Despite these interesting findings, the role of HERVs in ASD needs to be further investigated. In this review, we discuss recent advances in genetic research on ASD, with a particular emphasis on the implications of HERVs on neurodevelopment and future genomic initiatives aimed at discovering ASD-related genes through Artificial Intelligence. Given their pro-inflammatory and autoimmune characteristics, the existing literature suggests that HERVs may contribute to the onset or worsening of ASD in individuals with a genetic predisposition. Therefore, we propose that investigating their fundamental properties could not only improve existing therapies but also pave the way for new therapeutic strategies. Full article
(This article belongs to the Special Issue Expression and Function of Endogenous Retroviruses)
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<p>Autism at a glance. (<b>A</b>) Diagnosis and treatment of ASD is based on functioning in two domains (DSM-5-TR, 2022). Moreover, a person with ASD can have different levels across the two domains, e.g., Level 1 for social communication and Level 2 for restricted/repetitive behaviors. (<b>B</b>) Prevalence estimates of ASD in USA children aged 8 years during the past two decades. From the Autism and Developmental Disabilities Monitoring (ADDM) Network, U.S. Department of Health and Human Services, Centers for Disease Control and Prevention. ASD estimates in 8-year-old children in the USA have increased markedly, from 6.7 per 1000 (one in 150) in 2000 to 27.6 per 1000 in 2020 (one in 36). The sex ratio (boys/girls) is 3.8:1 [<a href="#B44-microorganisms-13-00009" class="html-bibr">44</a>]. Figure created with Biorender.com (<a href="https://www.biorender.com/" target="_blank">https://www.biorender.com/</a>).</p>
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<p>Diagram of the proposed multistep contribution of HERV overexpression and anti-HERV immune responses predisposing to the development of ASD or its clinical severity. Prenatal (upper diagram) and postnatal (lower diagram) roads to HERV-mediated ASD development are traced. Within the prenatal roads, intrauterine inflammatory events or pathogens and other stressful events can trigger a detrimental immune activation at the maternal–fetal interface (maternal immune activation, MIA), favored by a maternal immunogenetic predisposition to MIA (KIR/HLA), familial and personal autoimmunity, and epigenetic forces, such as age and gestational metabolic syndrome. The postnatal steps can take place during early neonatal stress, prematurity, chronic microglial activation, and new infectious events. TDM1 = type 1 diabetes mellitus; HLA-G = human leukocyte antigen G; NK= natural killer cells; KIR = killer cell immunoglobulin-like receptors; VDR= vitamin D receptor; VBP= vitamin D binding protein; HERV-H = human endogenous retrovirus-family H; HEMO = an envelope gene, named human endogenous MER34 (medium-reiteration-frequency-family-34) ORF; IL = interleukin; abs= antibodies. Figure created with Biorender.com (<a href="https://www.biorender.com/" target="_blank">https://www.biorender.com/</a>).</p>
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14 pages, 5107 KiB  
Article
Land-Use and Land-Cover Changes and Urban Expansion in Central Vietnam: A Case Study in Hue City
by Nguyen Hoang Khanh Linh, Tung Gia Pham, Ty Huu Pham, Chau Thi Minh Tran, Tan Quang Nguyen, Nam Thang Ha and Nguyen Bich Ngoc
Urban Sci. 2024, 8(4), 242; https://doi.org/10.3390/urbansci8040242 - 3 Dec 2024
Viewed by 841
Abstract
During the past two decades, Hue city has undergone significant changes in its economic development, leading to a rapid transformation of its land-use and land-cover (LULC) patterns. This study used remote sensing data and Geographic Information Systems (GIS) to analyze changes in the [...] Read more.
During the past two decades, Hue city has undergone significant changes in its economic development, leading to a rapid transformation of its land-use and land-cover (LULC) patterns. This study used remote sensing data and Geographic Information Systems (GIS) to analyze changes in the land-use and land-cover in Hue city, providing essential insights for the city’s future development. This research examines indicators such as area and land-cover changes, urban development trends, and the morphology of urban areas during the period from 2000 to 2020, with assessments conducted at ten-year intervals. The results showed that built-up and forest land have increased, while agricultural and unused land have decreased over time. By 2020, the urban area had expanded by more than 60% in the north and northeast directions. Hue city developed through infilling and edge expansion of existing urban areas, while some regions primarily expanded into outlying sections in the east and south by constructing high-end residential areas on former paddy rice fields. These findings yield valuable policy implications that extend beyond the case study of Hue city, offering insights for other cities to pursue inclusive and prosperous futures. Full article
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<p>The location of Hue city (red color) in Thua Thien Hue province and administrative map of Hue in 2020.</p>
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<p>The classification of urban form expansions.</p>
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<p>The LULC in 2000 (<b>a</b>), 2010 (<b>b</b>), and 2020 (<b>c</b>), and LULC change (<b>d</b>) of Hue city.</p>
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<p>The LULC by direction in 2000 (<b>a</b>), 2010 (<b>b</b>), and 2020, (<b>c</b>) and the percentage of BL class (<b>d</b>) of Hue city.</p>
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<p>The urban form expansion of Hue city in the period 2000–2010 (<b>a</b>) and 2010–2020 (<b>b</b>).</p>
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18 pages, 493 KiB  
Article
From Perception to Practices: Adoption of Ecosystem-Based Adaptation in Vietnam Upland Areas—A Case Study in Thua Thien Hue Province
by Le Thi Hong Phuong, Ho Le Phi Khanh, Malin Beckman, Do Trong Hoan, Le Dinh Phung and Le Thi Hoa Sen
Sustainability 2024, 16(22), 10094; https://doi.org/10.3390/su162210094 - 19 Nov 2024
Viewed by 628
Abstract
In the context of increasing interest in ecosystem-based adaptation (EbA), there remains a paucity of discussion regarding the transition from perception to practice in aiding farmer households to adapt to climate change (CC) while maintaining the provision of essential ecosystem services. Thus, this [...] Read more.
In the context of increasing interest in ecosystem-based adaptation (EbA), there remains a paucity of discussion regarding the transition from perception to practice in aiding farmer households to adapt to climate change (CC) while maintaining the provision of essential ecosystem services. Thus, this study aims to explore policymakers’ and local people’s perceptions, from thinking about the implementation of EbA strategies to responding to CC in current and future agricultural production and forestry in upland Thua Thien Hue province, Vietnam. This study has adopted the Model of Private Proactive Adaptation to CC to investigate the perceptions of EbA among various administrative and household levels through in-depth interviews and focus group discussion methods. Our findings indicate a significant relationship between the perceptions and understanding of EbA among policymakers and farmer households, and the adoption of EbA practices. Many EbA practices are already well-established and have demonstrated their ability to enhance ecosystem services provision, adaptation benefits, and livelihood and food security. These benefits are crucial for helping farmer households to adapt to CC. However, current financial, technical, and market constraints hinder the broader adoption of these practices. Therefore, to increase adaptive capacity to CC and upscale EbA practices, EbA interventions must consider technical, financial, and market aspects. Furthermore, it is essential to provide evidence from both scientific and practical perspectives and disseminate information on EbA practices to encourage broader adoption by local farmers. In addition, supportive policies from various departmental and agency levels are necessary for managers in the agricultural and forest sectors as well as households to recognize EbA as a vital strategy for developing agriculture and forestry in a manner that is sustainable and resilient to CC. Full article
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<p>Three studied sites in Phong My, Thuong Lo, and Hong Thuong communes. Source: Global Digital Mapping Alliance (GDMA), Vietnam Open Development.</p>
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16 pages, 5096 KiB  
Article
Adunctin E from Conamomum rubidum Induces Apoptosis in Lung Cancer via HSP90AA1 Modulation: A Network Pharmacology and In Vitro Study
by Iksen Iksen, Natsaranyatron Singharajkomron, Hien Minh Nguyen, Hanh Nhu Thi Hoang, Duc Viet Ho and Varisa Pongrakhananon
Int. J. Mol. Sci. 2024, 25(21), 11368; https://doi.org/10.3390/ijms252111368 - 22 Oct 2024
Viewed by 935
Abstract
Lung cancer stands out as a leading cause of death among various cancer types, highlighting the urgent need for effective anticancer drugs and the discovery of new compounds with potent therapeutic properties. Natural sources, such as the Conamomum genus, offer various bioactive compounds. [...] Read more.
Lung cancer stands out as a leading cause of death among various cancer types, highlighting the urgent need for effective anticancer drugs and the discovery of new compounds with potent therapeutic properties. Natural sources, such as the Conamomum genus, offer various bioactive compounds. Adunctin E (AE), a dihydrochalcone derived from Conamomum rubidum, exhibited several pharmacological activities, and its potential as an anticancer agent remains largely unexplored. Thus, this study aimed to elucidate its apoptotic-inducing effect and identify its molecular targets. The network pharmacology analysis led to the identification of 71 potential targets of AE against lung cancer. Subsequent gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Reactome pathway enrichment analyses revealed the involvement of these targets in cancer-associated signaling pathways. Notably, HSP90AA1, MAPK1, and PIK3CA emerged as key players in apoptosis. In silico molecular docking and dynamic simulations suggested a strong and stable interaction between AE and HSP90AA1. In vitro experiments further confirmed a significant apoptotic-inducing effect of AE on lung cancer cell lines A549 and H460. Furthermore, immunoblot analysis exhibited a substantial decrease in HSP90AA1 levels in response to AE treatment. These findings support the potential anticancer activity of AE through the HSP90AA1 mechanism, underscoring its promise as a novel compound worthy of further research and development for anti-lung cancer therapy. Full article
(This article belongs to the Special Issue Anti-cancer Effects of Natural Products)
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<p>Workflow for the investigation of the molecular targets of adunctin E (AE).</p>
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<p>Molecular target identification of adunctin E. (<b>A</b>) This Venn diagram represents targets of adunctin E (blue), targets in non-small cell lung cancer (NSCLC, yellow), and common targets between the compound and the disease. (<b>B</b>) A compound–target network was constructed by Cytoscape 3.9. Active components were labeled in yellow, whereas the 71 common targets were highlighted in blue. (<b>C</b>) The protein–protein interaction (PPI) network of the common targets was analyzed by importing 71 common targets to the search tool from the STRING.</p>
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<p>Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted on the potential targets of adunctin E in non-small cell lung cancer (NSCLC). Data analyzed in STRING were imported to RStudio with the ggplot2 package. The GO terms examined include (<b>A</b>) biological process, (<b>B</b>) cellular component, and (<b>C</b>) molecular function. (<b>D</b>) The KEGG pathway associated with these common targets was analyzed.</p>
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<p>(<b>A</b>) The association of common molecular targets of adunctin E and non-small cell lung cancer was constructed by Cytoscape 3.9.1. The top 16 common targets with the highest degree scores were generated using the cytoHubba plugin. Colors ranging from dark blue to light green indicate a higher to lower score of degree. (<b>B</b>) Plot of the degree values of the top 16 common targets.</p>
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<p>Molecular docking and molecular dynamics between adunctin E and protein targets: 2D and 3D interactions between adunctin E and HSP90AA1 (<b>A</b>), MAPK1 (<b>B</b>), and PIK3CA (<b>C</b>). Root mean square deviation for ligand movement (<b>D</b>) and ligand conformation (<b>E</b>). Simulation between 22 adunctin E and HSP90AA1 (red), MAPK1 (green), and PIK3CA (blue) for 25 ns were plotted.</p>
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<p>In vitro cytotoxicity and apoptosis induction of adunctin E. (<b>A</b>) A549 and H460 cells were treated with adunctin E (0–100 μM) for 48 h. Cell viability was determined by MTT assay. Plots are presented as a percentage of cell viability. (<b>B</b>) Apoptosis cells were evaluated by annexin-V/propidium iodide (PI) staining. Representative histograms from the flow cytometry analysis are shown. (<b>C</b>) The number of early (annexin-V<sup>+</sup>, PI<sup>–</sup>) and late (annexin-V<sup>+</sup>, PI<sup>+</sup>) apoptotic cells were plotted. Data are presented as the mean ± SEM (n = 3). * <span class="html-italic">p</span> &lt; 0.05 vs. untreated control cells.</p>
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<p>HSP90AA1 is a molecular target of adunctin E. (<b>A</b>) HSP90AA1 expression was upregulated in lung cancer. HSP90AA1 expressions in both normal lung (blue circles) and lung tumor (red circles) tissues were assessed utilizing GEO data. (<b>B</b>) Kaplan–Meier survival analysis of lung cancer patients who had high and low HSP90AA1 expressions from the GEO cohort. HR, hazard ratio.</p>
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<p>(<b>A</b>) A549 and H460 cells were treated with adunctin E (0–20 μM) for 48 h. The expression of HSP90AA1 was analyzed by immunoblotting. Blots were reprobed with anti-GAPDH antibody to ensure equal loading. Representative blots from triplicate independent experiments are shown. (<b>B</b>) HSP90AA1 protein levels were quantified and normalized with those of GAPDH. Relative HSP90AA1 protein levels were plotted. Data are presented as mean ± SEM (n = 3). * <span class="html-italic">p</span> &lt; 0.05 vs. untreated control cells.</p>
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11 pages, 1296 KiB  
Article
Dynamics of Neutrophil-to-Lymphocyte Ratio (NLR), Lymphocyte-to-Monocyte Ratio (LMR), and Platelet-to-Lymphocyte Ratio (PLR) in Patients with Deep Neck Infection
by Jeong-Mi Kim, Huu Hoang and Jeong-Seok Choi
J. Clin. Med. 2024, 13(20), 6105; https://doi.org/10.3390/jcm13206105 - 13 Oct 2024
Viewed by 837
Abstract
Background: Inflammatory biomarkers, including the neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR), have been utilized as prognostic factors in various diseases. This study aims to evaluate changes in the NLR, PLR, and LMR in patients diagnosed with a deep neck [...] Read more.
Background: Inflammatory biomarkers, including the neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR), have been utilized as prognostic factors in various diseases. This study aims to evaluate changes in the NLR, PLR, and LMR in patients diagnosed with a deep neck infections (DNI) to identify useful prognostic markers. Methods: This single-center, retrospective cohort study utilized data from the electronic medical records of patients admitted to the ENT department of a tertiary university hospital between January 2000 and August 2024. Patients diagnosed with a DNI during the study period were enrolled. Preoperative and postoperative inflammatory markers were measured in all patients, and NLR, LMR, and PLR values were calculated and analyzed. Results: The post-treatment NLR was significantly lower than the pre-treatment NLR. Similarly, the post-treatment LMR was significantly higher and the post-treatment PLR was significantly lower compared to pre-treatment values. Patients admitted to the ICU had higher inflammatory markers than those in general wards. Additionally, patients with elevated inflammatory markers had longer hospital stays. Inflammatory markers were also higher in older patients and those who underwent surgical treatment. Conclusions: Significant changes in the NLR, LMR, and PLR in patients diagnosed with a DNI can serve as useful prognostic markers. These findings suggest that monitoring these markers may help to assess and improve the inflammatory status of patients, highlighting their potential role in guiding treatment. Full article
(This article belongs to the Section Immunology)
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<p>A comparison of NLR, PLR, and LMR values according to (<b>a</b>) gender, (<b>b</b>) age and (<b>c</b>) diabetes (DB), and pre-and post-treatment periods.</p>
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<p>A comparison of NLR, PLR and LMR values according to (<b>a</b>) surgery status, (<b>b</b>) ICU admission, and (<b>c</b>) length of hospital stay, and pre-and post-treatment periods.</p>
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23 pages, 12471 KiB  
Article
Combining Eye-Tracking Technology and Subjective Evaluation to Determine Building Facade Color Combinations and Visual Quality
by Zhanzhu Wang, Maoting Shen and Yongming Huang
Appl. Sci. 2024, 14(18), 8227; https://doi.org/10.3390/app14188227 - 12 Sep 2024
Cited by 1 | Viewed by 1244
Abstract
Architectural colors significantly influence urban culture, city imagery, regional vitality, and residential experiences. Previous studies have demonstrated that appropriate architectural colors can enhance urban vitality, but research on multicolored buildings remains limited. This study examines the relationship between hue, color variations, and visual [...] Read more.
Architectural colors significantly influence urban culture, city imagery, regional vitality, and residential experiences. Previous studies have demonstrated that appropriate architectural colors can enhance urban vitality, but research on multicolored buildings remains limited. This study examines the relationship between hue, color variations, and visual quality by cross-verifying eye-tracking physiological indicators with subjective assessments. Using digital models of old residential buildings in Shanghai’s Yangpu District, different color combinations were applied to explore real-world architectural color impacts. Results showed that blue and green combinations reduced visual pressure and created a calming space, while purple combinations were rated highly in both visual perception and subjective evaluations. Brightness differences notably influenced visual quality more than hue differences. However, larger hue variations, when paired with suitable brightness and saturation contrasts, also achieved better visual evaluations. This study fills a research gap by providing mathematical support for color combinations in architectural design, improving visual comfort and enhancing urban vitality. Full article
(This article belongs to the Special Issue Latest Research on Eye Tracking Applications)
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<p>Research framework.</p>
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<p>Color selection: monochrome color samples and color values.</p>
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<p>Overview of experimental subjects.</p>
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<p>Laboratory environment, equipment, and personnel: (<b>a</b>) laboratory ambient light control, (<b>b</b>) experimental equipment, and (<b>c</b>) experimental procedure.</p>
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<p>(<b>a</b>) Box plots of participants’ APD, ASA, FFD, FC, TFF, TFD, ACP, and VC across different hue groups (the middle line represents the median, the upper and lower bounds of the box represent the 25th and 75th percentiles, respectively, and the upper and lower ends of the whiskers represent the 5th and 95th percentiles, respectively). **: <span class="html-italic">p</span> ≤ 0.01; ****: <span class="html-italic">p</span> ≤ 0.0001. (<b>b</b>) The colour combination is sorted by different indicators and their corresponding values.</p>
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<p>(<b>a</b>) Box plots of participants’ APD, ASA, FFD, FC, TFF, TFD, ACP, and VC across different hue groups (the middle line represents the median, the upper and lower bounds of the box represent the 25th and 75th percentiles, respectively, and the upper and lower ends of the whiskers represent the 5th and 95th percentiles, respectively). **: <span class="html-italic">p</span> ≤ 0.01; ****: <span class="html-italic">p</span> ≤ 0.0001. (<b>b</b>) The colour combination is sorted by different indicators and their corresponding values.</p>
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<p>The correlation analysis between ΔE, ΔL, ΔC, and Δh and eye-tracking metrics and subjective comfort metrics APD, ASA, FFD, FC, TFF, TFD, ACP, and VC is depicted in the figures: (<b>a</b>) scatter plot matrix and (<b>b</b>) correlation analysis chart, with Pearson correlation coefficients. ***: <span class="html-italic">p</span> &lt; 0.001.</p>
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20 pages, 5118 KiB  
Article
Co-Occurrence of Cyanotoxins and Phycotoxins in One of the Largest Southeast Asian Brackish Waterbodies: A Preliminary Study at the Tam Giang—Cau Hai Lagoon (Vietnam)
by Devleena Sahoo, Ngoc Khanh Ni Tran, Thi Gia-Hang Nguyen, Thi Thu Hoai Ho, Thi Thuy Hang Phan, Duong Thu Huong Hoang, Ngo Huu Binh, Thi Thu Lien Nguyen, Luong Quang Doc, Noureddine Bouaïcha and Tri Nguyen-Quang
Limnol. Rev. 2024, 24(3), 335-353; https://doi.org/10.3390/limnolrev24030020 - 25 Aug 2024
Viewed by 1285
Abstract
The Tam Giang-Cau Hai lagoon (TGCH) in Thua Thien Hue province (Vietnam) is a marsh/lagoon system and ranks among the largest waterbodies in Southeast Asia. It plays a significant role in terms of both socio-economic and environmental resources. However, anthropogenic stress, as well [...] Read more.
The Tam Giang-Cau Hai lagoon (TGCH) in Thua Thien Hue province (Vietnam) is a marsh/lagoon system and ranks among the largest waterbodies in Southeast Asia. It plays a significant role in terms of both socio-economic and environmental resources. However, anthropogenic stress, as well as the discharge of untreated domestic and industrial sewage with agricultural runoff from its three major tributaries, dramatically damages the water quality of the lagoon. Especially after heavy rain and flash floods, the continuous degradation of its water quality, followed by harmful algal and cyanobacterial bloom patterns (HABs), is more perceptible. In this study, several physicochemical factors, cyanotoxins (anatoxins (ATXs), saxitoxins (STXs), microcystins (MCs)), phycotoxins (STXs, okadaic acid (OA), and dinophysistoxins (DTXs)) were analyzed in water and shellfish samples from 13 stations in June 2023 from 13 stations, using enzyme-linked immunosorbent assay (ELISA) kits for the ATXs and STXs, and the serine/threonine phosphatase type 2A (PP2A) inhibition assay kit for the MCs, OA, and DTXs. The results showed for the first time the co-occurrence of freshwater cyanotoxins and marine phycotoxins in water and shellfish samples in this lagoon. Traces of ATXs and STXs were detected in the shellfish and the orders of magnitude were below the seafood safety action levels. However, toxins inhibiting the PP2A enzyme, such as MCs and nodularin (NODs), as well as OA and DTXs, were detected at higher concentrations (maximum: 130.4 μg equiv. MC-LR/kg shellfish meat wet weight), approaching the actionable level proposed for this class of toxin in shellfish (160 μg of OA equivalent per kg of edible bivalve mollusk meat). It is very important to note that due to the possible false positives produced by the ELISA test in complex matrices such as a crude shellfish extract, this preliminary and pilot research will be repeated with a more sophisticated method, such as liquid chromatography coupled with mass spectroscopy (LC-MS), in the upcoming research plan. Full article
(This article belongs to the Special Issue Hot Spots and Topics in Limnology)
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<p>Sampling locations with a zoomed view of Tam Giang lagoon, Vietnam.</p>
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<p>A local market in the fishery village at Tam Giang lagoon. Below: Seven different batches of shellfish samples collected from the lagoon at TC 13, including: (1) <span class="html-italic">Cyrenobatissa subsulcata</span>; (2) <span class="html-italic">Corbicula subsulcata</span>; (3) <span class="html-italic">Cristaria plicata</span>; (4) <span class="html-italic">Pila polita</span>; (5, 6) <span class="html-italic">Crasscostrea rivularis</span>; (7) <span class="html-italic">Perna viridis</span>.</p>
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<p>(<b>A</b>) Secchi depth from Stations TC1 to TC13; (<b>B</b>) trend of dissolved oxygen (DO), pH, and Salinity in TG-CH Lagoon.</p>
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<p>Relative abundances of phytoplankton from all phyla identified at 13 sites in the Tam Giang lagoon (Vietnam) during June 2023.</p>
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<p>Concentrations (µg/L) of paralytic shellfish toxins (PSTs) expressed as saxitoxin (STX) equivalent in water samples collected from the different sites (TC1 to TC13) in the Tam Giang lagoon, Vietnam. The regulatory guidance level for saxitoxin is 3 µg/L in drinking water and 30 µg/L in recreational water.</p>
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<p>Concentrations (µg/L) of anatoxins (ATXs) expressed as anatoxin-a (ATX-a) equivalent in water samples collected from the different sites (TC1 to TC13) in the Tam Giang lagoon, Vietnam. The regulatory guidance level for ATX-a is 30 µg/L in drinking water and 60 µg/L in recreational water.</p>
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<p>Concentrations (µg/L) of toxins inhibiting the PP2A, such as microcystins (MCs), nodularin (NODs), okadaic acid (OA), and dinophysistoxins (DTXs), expressed as microcystin-LR (MC-LR) in water samples collected from the different sites (TC1 to TC13) in the Tam Giang lagoon, Vietnam. The regulatory guidance level for MC-LR is 1 µg/L in drinking water (dotted red line) and 24 µg/L in recreational water.</p>
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<p>Levels (µg/kg) of paralytic shellfish toxins (PSTs) expressed as saxitoxin (STX) equivalent in shellfish samples collected from the Tam Giang lagoon, Vietnam. The regulatory guidance level is 800 µg STX equivalent/kg.</p>
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<p>Levels (µg/kg) of anatoxins (ATXs) expressed as anatoxin-a (ATX-a) equivalent in shellfish samples collected from the Tam Giang lagoon, Vietnam. No regulatory guidelines are mentioned for ATX in shellfish samples.</p>
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<p>Levels (µg/kg) of toxins inhibiting the PP2A, such as microcystins (MCs), nodularin (NODs), okadaic acid (OA), and dinophysistoxins (DTXs), expressed as microcystin-LR (MC-LR) equivalent in shellfish samples collected from the Tam Giang lagoon, Vietnam. The regulatory guidance level (dotted red line) for diarrheic toxins in shellfish is 160 μg of OA equivalent per kg of edible bivalve mollusk meat, by total amounts of OA, DTXs, and pectenotoxins.</p>
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18 pages, 1198 KiB  
Article
Transient and Persistent Technical Efficiencies in Rice Farming: A Generalized True Random-Effects Model Approach
by Phuc Trong Ho, Michael Burton, Atakelty Hailu and Chunbo Ma
Econometrics 2024, 12(3), 23; https://doi.org/10.3390/econometrics12030023 - 12 Aug 2024
Viewed by 1487
Abstract
This study estimates transient and persistent technical efficiencies (TEs) using a generalized true random-effects (GTRE) model. We estimate the GTRE model using maximum likelihood and Bayesian estimation methods, then compare it to three simpler models nested within it to evaluate the robustness of [...] Read more.
This study estimates transient and persistent technical efficiencies (TEs) using a generalized true random-effects (GTRE) model. We estimate the GTRE model using maximum likelihood and Bayesian estimation methods, then compare it to three simpler models nested within it to evaluate the robustness of our estimates. We use a panel data set of 945 observations collected from 344 rice farming households in Vietnam’s Mekong River Delta. The results indicate that the GTRE model is more appropriate than the restricted models for understanding heterogeneity and inefficiency in rice production. The mean estimate of overall technical efficiency is 0.71 on average, with transient rather than persistent inefficiency being the dominant component. This suggests that rice farmers could increase output substantially and would benefit from policies that pay more attention to addressing short-term inefficiency issues. Full article
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<p>(<b>a</b>) Distributions of overall technical efficiency (TE) of all models; (<b>b</b>) Transient TE of all models; (<b>c</b>) Persistent TE of all models; and (<b>d</b>) Transient and persistent TEs of MSLE and Bayesian GTRE models.</p>
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<p>Scatterplot matrices of pairwise technical efficiency estimates for all models.</p>
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<p>Planted area, yield, and production of paddy in Vietnam, 1990–2022. Source: <a href="#B40-econometrics-12-00023" class="html-bibr">GSO</a> (<a href="#B40-econometrics-12-00023" class="html-bibr">2023b</a>).</p>
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13 pages, 1149 KiB  
Article
Chemical Content and Cytotoxic Activity on Various Cancer Cell Lines of Chaga (Inonotus obliquus) Growing on Betula pendula and Betula pubescens
by Ain Raal, Hedi Kaldmäe, Karin Kütt, Katrin Jürimaa, Maidu Silm, Uko Bleive, Alar Aluvee, Kalev Adamson, Marili Vester, Mart Erik, Oleh Koshovyi, Khan Viet Nguyen, Hoai Thi Nguyen and Rein Drenkhan
Pharmaceuticals 2024, 17(8), 1013; https://doi.org/10.3390/ph17081013 - 1 Aug 2024
Viewed by 1487
Abstract
Chaga mushroom (Inonotus obliquus) is a pathogenic fungus that grows mostly on birch species (Betula pendula Roth and B. pubescens Ehrh.) and has traditionally been used as an anticancer medicine. This study aimed to compare the chemical composition and cytotoxic [...] Read more.
Chaga mushroom (Inonotus obliquus) is a pathogenic fungus that grows mostly on birch species (Betula pendula Roth and B. pubescens Ehrh.) and has traditionally been used as an anticancer medicine. This study aimed to compare the chemical composition and cytotoxic activity of chagas growing on both Betula spp. on various cancer cell lines. The freeze-dried extracts contained triterpenes inotodiol, lanosterol betulin, and betulinic acid typical to conks growing on Betula species. The cytotoxic activity of chaga growing on Betula pendula and B. pubescens 80% ethanolic extracts against 31 human cancer cell lines was evaluated by a sulforhodamine B assay. Chaga extract showed moderate activity against all cancer cell lines examined; it did not result in high cytotoxicity (IC50 ≤ 20 µg/mL). The strongest inhibitions were observed with chaga (growing on B. pendula) extract on the HepG2 and CAL-62 cell line and with chaga (from B. pubescens) extract on the HepG2 cell line, with IC50 values of 37.71, 43.30, and 49.99 μg/mL, respectively. The chaga extracts from B. pendula exert somewhat stronger effects on most cancer cell lines studied than B. pubescens extracts, which can be attributed to a higher content of inotodiol in B. pendula extracts. This study highlights the potential of chaga as a source of bioactive compounds with selective anticancer properties. To the best of our knowledge, this study is the first investigation of the chemical composition of I. obliquus parasitizing on B. pubescens. Full article
(This article belongs to the Section Natural Products)
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<p>Total ion chromatogram (<b>A</b>) of the solution containing the standard compounds: betulinic acid, betulin, inotodiol, lanosterol, and beta-sitosterol and total ion chromatogram of <span class="html-italic">Betula pubescence</span> extract (<b>B</b>).</p>
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14 pages, 12465 KiB  
Article
Three-Dimensional and Two-Dimensional Stability Analysis of Bentonite Slurry Trenches Using a Shear Strength Reduction Technique and Limit Equilibrium Methods
by Marek Cała, Thi Cat Tuong Le and Agnieszka Stopkowicz
Appl. Sci. 2024, 14(12), 5251; https://doi.org/10.3390/app14125251 - 17 Jun 2024
Viewed by 873
Abstract
Bentonite slurry trenches are becoming increasingly popular in the excavation of trenches, especially for diaphragm wall construction. The problem that needs to be addressed is the stability of bentonite slurry trenches. This paper presents a stability analysis of trenches with temporary support from [...] Read more.
Bentonite slurry trenches are becoming increasingly popular in the excavation of trenches, especially for diaphragm wall construction. The problem that needs to be addressed is the stability of bentonite slurry trenches. This paper presents a stability analysis of trenches with temporary support from bentonite slurry, with unit weights ranging from 10.5 to 12.0 kN/m3 in the realistic stratum, and C3 in the Hue city area. Our analysis employs the Shear Strength Reduction Technique (SSR) with Mohr–Coulomb materials to numerically evaluate the factor of safety (FS). The finite element method (FEM) software program (RS2 v. 121 and RS3 v. 4.0) and the finite difference method (FDM) FLAC v. 7.0 software were used. Additionally, the limit equilibrium method (LEM) of Bell–Washbourne and three-dimensional (3D) Bishop were used to calculate trench stability. The results of the analysis show a good agreement between RS2 and FLAC2D, and between RS3 and FLAC3D. Secondly, upon comparison, it was noted that the factor of safety of the 3D software programs (RS3 v. 4.0, FLAC v. 7.0) was higher than that of the 2D software programs (RS2 v. 11.0, FLAC v. 7.0), ranging from 52.3 to 63.0% for trench lengths of 6 m. However, for trench lengths of 54 m, the factor of safety values in 2D and 3D configurations were nearly equal. Thirdly, the factor of safety of the Bell–Washbourne method (LEM) was lower than that of the numerical analysis methods (FLAC and RS programs). Using the three-dimensional numerical method appears to be effective for estimating stability. Full article
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<p>Trench excavation stage with temporary support from bentonite slurry.</p>
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<p>Geometry of the trench model.</p>
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<p>(<b>a</b>) Bentonite slurry trench with the surcharge load (<b>b</b>) and without the load.</p>
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<p>(<b>a</b>) Oblique view of the simple idealised 3-dimensional wedge with L greater than 2D, (<b>b</b>) oblique view of the simple idealised wedge with L less than 2D. The <span class="html-italic">abed</span> is the slurry soil interface, <span class="html-italic">abcdeh</span> is the Bell [B] 2-dimensional active wedge and <span class="html-italic">abcdfg</span> is the Bell–Washbourne [B-W] 3-dimensional active wedge.</p>
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<p>The failure mode of trenches in FLAC 2D/3D and RS2/3 for the case of γs = 10.5 kN/m<sup>3</sup> slurry and no surcharge load on the ground surface.</p>
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<p>The failure mode of trenches in FLAC 2D/3D and RS2/3 for the case of γs = 10.5 kN/m<sup>3</sup> slurry and surcharge load of 10.0 kPa on the ground surface.</p>
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<p>The failure mode of trenches in FLAC 2D/3D and RS2/3 for the case of γs = 12.0 kN/m<sup>3</sup> slurry and no surcharge load on the ground surface.</p>
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<p>The failure mode of trenches in FLAC 2D/3D and RS2/3 for the case of γs = 12.0 kN/m<sup>3</sup> slurry and surcharge load of 10.0 kPa on the ground surface.</p>
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<p>Critical slip surfaces identified by FLSC and RS for the case of slurry γs = 10.5 kN/m<sup>3</sup>.</p>
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<p>Critical slip surfaces identified by FLSC and RS for the case of slurry γs = 12.0 kN/m<sup>3</sup>.</p>
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<p>Shape of a slip wedge for a deep trench (Length &lt; 2Depth).</p>
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<p>Shape of a slip wedge for a shallow trench (Length &gt; 2Depth).</p>
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<p>Variation in FS with trench length using different analysis methods such as FLAC2D, RS2, Bell–Washbourne-2D, RS3, FLAC3D, Slide 3 (Bishop) and Bell–Washbourne-3D for stratum C3 and γs = 10.5 kN/m<sup>3</sup>.</p>
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<p>Variation in FS with trench length using different analysis methods such as FLAC2D, RS2, Bell–Washbourne-2D, RS3, FLAC3D, Slide 3 (Bishop) and Bell–Washbourne-3D for stratum C3 and γs = 10.5 kN/m<sup>3</sup> and surcharge load 10 kPa.</p>
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<p>Variation in FS with trench length using different analysis methods such as FLAC2D, RS2, Bell–Washbourne-2D, RS3, FLAC3D, Slide 3 (Bishop) and Bell–Washbourne-3D for stratum C3 and γs = 12.0 kN/m<sup>3</sup>.</p>
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<p>Variation in FS with trench length using different analysis methods such as FLAC2D, RS2, Bell–Washbourne-2D, RS3, FLAC3D, Slide 3 (Bishop) and Bell–Washbourne-3D for stratum C3 and γs = 12.0 kN/m<sup>3</sup> and surcharge load 10 kPa.</p>
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20 pages, 7089 KiB  
Article
Exploring the Potential Role of Oligodendrocyte-Associated PIP4K2A in Alzheimer’s Disease Complicated with Type 2 Diabetes Mellitus via Multi-Omic Analysis
by Doan Phuong Quy Nguyen, Amadou Wurry Jallow, Yi-Fang Lin and Yung-Feng Lin
Int. J. Mol. Sci. 2024, 25(12), 6640; https://doi.org/10.3390/ijms25126640 - 17 Jun 2024
Viewed by 1215
Abstract
Alzheimer’s disease (AD) and type 2 diabetes mellitus (T2DM) are two common diseases that affect the elderly population worldwide. The identification of common genes associated with AD and T2DM holds promise for potential biomarkers and intriguing pathogenesis of these two complicated diseases. This [...] Read more.
Alzheimer’s disease (AD) and type 2 diabetes mellitus (T2DM) are two common diseases that affect the elderly population worldwide. The identification of common genes associated with AD and T2DM holds promise for potential biomarkers and intriguing pathogenesis of these two complicated diseases. This study utilized a comprehensive approach by integrating transcriptome data from multiple cohorts, encompassing both AD and T2DM. The analysis incorporated various data types, including blood and tissue samples as well as single-cell datasets, allowing for a detailed assessment of gene expression patterns. From the brain region-specific single-cell analysis, PIP4K2A, which encodes phosphatidylinositol-5-phosphate 4-kinase type 2 alpha, was found to be expressed mainly in oligodendrocytes compared to other cell types. Elevated levels of PIP4K2A in AD and T2DM patients’ blood were found to be associated with key cellular processes such as vesicle-mediated transport, negative regulation of autophagosome assembly, and cytosolic transport. The identification of PIP4K2A’s potential roles in the cellular processes of AD and T2DM offers valuable insights into the development of biomarkers for diagnosis and therapy, especially in the complication of these two diseases. Full article
(This article belongs to the Section Molecular Neurobiology)
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<p>The expression patterns observed in the microarray dataset provide distinctive characteristics associated with AD and T2DM. (<b>A</b>) Summary of AD and T2DM microarray dataset. (<b>B</b>) The principal component analysis map of GSE95849 (T2DM dataset) in two phenotype samples. (<b>C</b>) The principal component analysis (PCA) map of GSE97760 (AD dataset) in two phenotype samples. (<b>D</b>,<b>E</b>) The volcano plot illustrates two distinct lists of differential gene expressions (DEGs) in T2DM and AD compared to healthy control samples, respectively. The volcano plot depicts upregulated genes as orange dots, while downregulated genes are represented by blue dots. Non-significant genes are shown as gray dots. The thresholds used for defining differential expression were set as <span class="html-italic">p</span>-value &lt; 0.05 and |log2FC| &gt; 0.5. (<b>F</b>,<b>G</b>) The heatmap displays the top significant genes that are differentially expressed in the T2DM, and AD groups compared to the control samples. The gene expression matrix was scaled to a range of (−2, 2), with corresponding colors ranging from blue to red.</p>
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<p>The overlapping DEGs of AD and T2DM. (<b>A</b>) The overlap between the DEG lists of AD and T2DM resulted in a total of 2187 DEGs. These DEGs were further categorized into four sub-gene sets: Up AD–Up DM, Up AD–Down DM, Down AD–Up DM, and Down AD–Down DM. (<b>B</b>) The Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis was performed using the 2187 DEGs as input. The results of the analysis were visualized in a bar chart, which represents the KEGG annotation categories. (<b>C</b>) The distinct enrichment pathways for each gene set in (<b>A</b>) were identified through KEGG analysis. The pathway analysis was conducted using the clusterProfiler package, and pathways with a significance threshold of <span class="html-italic">p</span>-value &lt; 0.05 were considered significant. The resulting pathways were visualized in a dot plot.</p>
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<p>Protein–protein interaction networks. (<b>A</b>) Network of “Up AD–Up DM” gene set. (<b>B</b>) Network of “Up AD–Down DM” gene set. (<b>C</b>) Network of “Down AD–Up DM” gene set. (<b>D</b>) Network of “Down AD–Down DM” gene set. In each network, the gene sets were used as input, with the “seed” genes represented in red color. Significant proteins that correspond to the seed proteins were depicted as seed nodes and color-coded accordingly: yellow for ‘Up AD–Up DM’, blue for ‘Up AD–Down DM’, green for ‘Down AD–Up DM’, and pink for ‘Down AD–Down DM’. The transparency gradient of the nodes is based on the node degree.</p>
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<p>Identification of AD-predictive significance genes across multiple datasets. (<b>A</b>) Workflow summarizing the identification of AD-predictive significance genes across multiple datasets. (<b>B</b>) Characterization of the 38 genes in the final set, categorized into the four gene sets mentioned above, highlighting their respective characteristics.</p>
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<p>Transcriptional diversity in AD and control samples revealed by single-cell Human Brain Region Atlas. (<b>A</b>–<b>C</b>) t-distributed Stochastic Neighbor Embedding (t-SNE) visualization of three different single-cell datasets obtained from the superior frontal gyrus (GSE147528), entorhinal cortex (GSE147528), and hippocampus (GSE175814). (<b>D</b>–<b>F</b>) Corresponding t-SNEs of the brain regions depict the cellular distribution in different conditions, including Braak 0, Braak 2, and Braak 6 stages (superior frontal gyrus and entorhinal cortex datasets), as well as AD and control states (hippocampus dataset). (<b>G</b>–<b>I</b>) Gene expression patterns of 8 selected genes plotted on the t-SNE coordinates shown in (<b>A</b>), PIP4K2A displayed specific expression in oligodendrocytes. (<b>J</b>–<b>L</b>) Violin plots depicting the significant differences in gene expression levels of PIP4K2A between AD and control samples (hippocampus), between early and advanced Braak stages (entorhinal cortex and superior frontal gyrus). ns: not significant; **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Comprehensive characterization of PIP4K2A across multiple brain region microarray datasets. (<b>A</b>) Boxplot illustrating the expression level distribution of PIP4K2A in the diseases and control groups, including T2DM blood samples, AD blood samples, and three different brain region tissue samples. The <span class="html-italic">p</span>-value is calculated using a <span class="html-italic">t</span>-test. (<b>B</b>) The table presents the contribution of PIP4K2A in multiple biological process pathways, obtained from the Gene Ontology 2023 database. (<b>C</b>) The high expression of PIP4K2A is associated with the upregulated levels of biological processes such as “vesicle-mediated transport”, “negative regulation of autophagosome assembly”, and “cytosolic transport” in both T2DM and AD datasets.</p>
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<p>Western blot analysis of PIP4K2A in human serum. (<b>A</b>) PIP4K2A level in serum samples from healthy control (HC), hyperglycemia (HG), AD, and AD with hyperglycemia (AD–HG) patients via Western blotting. The study included two females and one male in each group. (<b>B</b>) The band densities of PIP4K2A and the total protein (TP) levels were normalized against the average values of the HC samples. (<b>C</b>) Normalized PIP4K2A levels in serum against the TP values within the same sample group; * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>A schematic summary illustrating the potential involvement of <span class="html-italic">PIP4K2A</span> in AD and its possible connection to T2DM, predominantly in oligodendrocyte cell type. This illustration was designed via Biorender (<a href="https://app.biorender.com/" target="_blank">https://app.biorender.com/</a> accessed on 30 January 2024).</p>
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23 pages, 8438 KiB  
Article
Therapeutic Effects of Engineered Exosomes from RAW264.7 Cells Overexpressing hsa-let-7i-5p against Sepsis in Mice—A Comparative Study with Human Placenta-Derived Mesenchymal Stem Cell Exosomes
by Van Long Le, Chao-Yuan Chang, Ching-Wei Chuang, Syuan-Hao Syu, Hung-Jen Shih, Hong-Phuc Nguyen Vo, Minh Nguyen Van and Chun-Jen Huang
J. Pers. Med. 2024, 14(6), 619; https://doi.org/10.3390/jpm14060619 - 9 Jun 2024
Viewed by 1661
Abstract
This study compared the therapeutic effects of engineered exosomes derived from RAW264.7 cells overexpressing hsa-let-7i-5p (engineered exosomes) to exosomes from human placenta-derived mesenchymal stem cells (hpMSC exosomes) against sepsis-induced acute lung injury. Adult male C57BL/6 mice were divided into lipopolysaccharide (LPS), LPS plus [...] Read more.
This study compared the therapeutic effects of engineered exosomes derived from RAW264.7 cells overexpressing hsa-let-7i-5p (engineered exosomes) to exosomes from human placenta-derived mesenchymal stem cells (hpMSC exosomes) against sepsis-induced acute lung injury. Adult male C57BL/6 mice were divided into lipopolysaccharide (LPS), LPS plus engineered exosome (LEExo), or LPS plus hpMSC exosome (LMExo) groups, alongside control groups. The results showed that lung injury scores (based on pathohistological characteristics) and the levels of lung function alterations, tissue edema, and leukocyte infiltration in LEExo and LMExo groups were comparable and significantly lower than in the LPS group (all p < 0.05). Furthermore, the levels of inflammation (nuclear factor-κB activation, cytokine upregulation), macrophage activation (hypoxia-inducible factor-1α activation, M1 phase polarization), oxidation, and apoptosis were diminished in LEExo and LMExo groups compared to the LPS group (all p < 0.05). Inhibition of hsa-let-7i-5p attenuated the therapeutic effects of both engineered and hpMSC exosomes. These findings underscore the potent therapeutic capacity of engineered exosomes enriched with hsa-let-7i-5p and their potential as an alternative to hpMSC exosomes for sepsis treatment. Continued research into the mechanisms of action and optimization of engineered exosomes could pave the way for their future clinical application. Full article
(This article belongs to the Section Personalized Critical Care)
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<p>Characteristics of isolated exosomes. (<b>A</b>) Representative transmission electron microscopic images of isolated exosomes. (<b>B</b>) Representative gel photography of markers ALIX and CD63 in isolated exosomes using the Simple Western method. (<b>C</b>) Particle sizing assay of isolated exosomes. (<b>D</b>) The microRNA concentrations of hsa-let-7i-5p in isolated exosomes. Data were obtained from 3 exosomes in each group and presented as mean ± standard deviations. * <span class="html-italic">p</span> &lt; 0.05, versus the RExo group. EExo: engineered exosomes from RAW264.7 cells overexpressing hsa-let-7i-5p. MExo: exosomes from human placenta-derived mesenchymal stem cells. RExo: exosomes from RAW264.7 cells without genetic modification.</p>
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<p>(<b>A</b>) Biodistribution of hpMSC exosomes (MExo, 1 × 10<sup>8</sup> particles per mouse) and engineered exosomes (EExo, 1 × 10<sup>9</sup> particles per mouse) conjugated with Cy7 mono NHS ester in the heart, lungs, liver, kidney, spleen, and bladder of mice, using ex vivo bioluminescence imaging assay, measured at 0, 2, 24, and 48 h after intraperitoneal administration. Data were obtained from 3 mice sacrificed at each time point in both groups. * <span class="html-italic">p</span> &lt; 0.05, versus the 0-h mark. (<b>B</b>) Pharmacokinetic analysis of MExo and EExo. The plasma concentrations of MExo and EExo were measured through the assay of Cy7 mono NHS ester signal intensities. The MExo and EExo concentrations were measured at 0.5 h after intraperitoneal administration and were used as the baseline. Data were obtained from 3 mice in each group. hpMSC exosomes: exosomes from human placenta-derived mesenchymal stem cells. Engineered exosomes: engineered exosomes from RAW264.7 cells overexpressing hsa-let-7i-5p. The dashed line indicates a 50% fold change compared to the 4-h mark.</p>
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<p>(<b>A</b>) The 48-h survival rates, as determined by calculating the number of mice that survived the 48 h observational duration in each group after normal saline or lipopolysaccharide administration. Data were derived from 6 mice in the Sham, MExo, and EExo groups and 12 mice from the LPS, LMExo, LMExoi, LEEXo, and LEExoi groups. * <span class="html-italic">p</span> &lt; 0.05, the LPS group versus the Sham group. # <span class="html-italic">p</span> &lt; 0.05, the LEExo group versus LPS group. ˄ <span class="html-italic">p</span> &lt; 0.05, the LEExoi group versus the LEExo group. (<b>B</b>) Plasma concentrations of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), and IL-6, measured using enzyme-linked immunosorbent assay. Data were obtained from 5 mice in each group. All assays were measured at 48 h after normal saline or lipopolysaccharide administration. Data represented as mean ± standard deviations. * <span class="html-italic">p</span> &lt; 0.05, versus the Sham group. # <span class="html-italic">p</span> &lt; 0.05, versus the LPS group. † <span class="html-italic">p</span> &lt; 0.05, the LMExoi group versus the LMExo group. ˄ <span class="html-italic">p</span> &lt; 0.05, the LEExoi group versus the LEExo group. Sham: the normal saline group. MExo group: the normal saline plus hpMSC exosome group. EExo group: the normal saline plus engineered exosome group. LPS: the lipopolysaccharide (LPS) group. LMExo: the LPS plus hpMSC exosome group. LMExoi: the LPS plus inhibitor-treated hpMSC exosome group. LEExo: the LPS plus engineered exosome group. LEExoi: the LPS plus inhibitor-treated engineered exosome group.</p>
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<p>(<b>A</b>) Representative histological characteristics of lung injury in lung tissues stained with hematoxylin–eosin, evaluated using a light microscope (200×), and the data of lung injury scores. Data were obtained from 6 mice in each group. (<b>B</b>) Lung function, representing inspiratory capacity, airway resistance, and dynamic compliance. Data were obtained from 6 mice from each group for each parameter. (<b>C</b>) Wet/dry weight ratio (W/D ratio) of the lung tissues. Data were obtained from 6 mice in each group. (<b>D</b>) The cell number of white blood cells (WBCs), neutrophils, lymphocytes, and monocytes in collected bronchoalveolar lavage fluid (BALF). Data were obtained from 6 mice in each group. All assays were measured at 48 h after normal saline or lipopolysaccharide administration. Data represented as mean ± standard deviations. * <span class="html-italic">p</span> &lt; 0.05, versus the Sham group. # <span class="html-italic">p</span> &lt; 0.05, versus the LPS group. † <span class="html-italic">p</span> &lt; 0.05, the LMExoi group versus the LMExo group. ˄ <span class="html-italic">p</span> &lt; 0.05, the LEExoi group versus the LEExo group. Sham: the normal saline group. MExo group: the normal saline plus hpMSC exosome group. EExo group: the normal saline plus engineered exosome group. LPS: the lipopolysaccharide (LPS) group. LMExo: the LPS plus hpMSC exosome group. LMExoi: the LPS plus inhibitor-treated hpMSC exosome group. LEExo: the LPS plus engineered exosome group. LEExoi: the LPS plus inhibitor-treated engineered exosome group.</p>
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<p>(<b>A</b>) Representative gel photography of phosphorylated nuclear factor-kB (p-NF-kB) and Actin (internal standard), assayed via the Simple Western method and the relative band density of p-NF-kB/Actin ratio in lung tissues. Data were obtained from 5 mice in each group. (<b>B</b>) The concentrations of tumor necrosis factor-α (TNF-α), interleukin 1-β (IL-1β), and IL-6 in lung tissues, measured via the enzyme-linked immunosorbent assay. Data were obtained from 5 mice in each group. All assays were measured at 48 h after normal saline or lipopolysaccharide administration. Data represented as mean ± standard deviations. * <span class="html-italic">p</span> &lt; 0.05, versus the Sham group. # <span class="html-italic">p</span> &lt; 0.05, versus the LPS group. † <span class="html-italic">p</span> &lt; 0.05, the LMExoi group versus the LMExo group. ˄ <span class="html-italic">p</span> &lt; 0.05, the LEExoi group versus the LEExo group. Sham: the normal saline group. MExo group: the normal saline plus hpMSC exosome group. EExo group: the normal saline plus engineered exosome group. LPS: the lipopolysaccharide (LPS) group. LMExo: the LPS plus hpMSC exosome group. LMExoi: the LPS plus inhibitor-treated hpMSC exosome group. LEExo: the LPS plus engineered exosome group. LEExoi: the LPS plus inhibitor-treated engineered exosome group.</p>
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<p>(<b>A</b>) Representative gel photography of hypoxia-inducible factor-1α (HIF-1α), inducible nitric oxide synthase (iNOS), and Actin (internal standard), assayed via the Simple Western method and the relative band density of HIF-1α/Actin and iNOS/Actin ratios in lung tissues. Data were obtained from 5 mice in each group. (<b>B</b>) Representative microscopy images of immunohistochemistry staining assay of iNOS (marked by the red arrow) and the iNOS quantitative sum intensities in lung tissues. Data were obtained from 5 mice in each group. All assays were measured at 48 h after normal saline or lipopolysaccharide administration. Data represented as mean ± standard deviations. * <span class="html-italic">p</span> &lt; 0.05, versus the Sham group. # <span class="html-italic">p</span> &lt; 0.05, versus the LPS group. † <span class="html-italic">p</span> &lt; 0.05, the LMExoi group versus the LMExo group. ˄ <span class="html-italic">p</span> &lt; 0.05, the LEExoi group versus the LEExo group. Sham: the normal saline group. MExo group: the normal saline plus hpMSC exosome group. EExo group: the normal saline plus engineered exosome group. LPS: the lipopolysaccharide (LPS) group. LMExo: the LPS plus hpMSC exosome group. LMExoi: the LPS plus inhibitor-treated hpMSC exosome group. LEExo: the LPS plus engineered exosome group. LEExoi: the LPS plus inhibitor-treated engineered exosome group.</p>
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<p>(<b>A</b>) Representative gel photography of superoxide dismutase 2 (SOD2) and Actin (internal standard), assayed via the Simple Western method and the relative band density of SOD2/Actin ratio in lung tissues. Data were obtained from 5 mice in each group. (<b>B</b>) Representative microscopy images of immunohistochemistry staining assay of myeloperoxidase (MPO, marked by the red arrow) and the MPO quantitative sum intensities in lung tissues. Data were obtained from 5 mice in each group. All assays were measured at 48 h after normal saline or lipopolysaccharide administration. Data represented as mean ± standard deviations. * <span class="html-italic">p</span> &lt; 0.05, versus the Sham group. # <span class="html-italic">p</span> &lt; 0.05, versus the LPS group. † <span class="html-italic">p</span> &lt; 0.05, the LMExoi group versus the LMExo group. ˄ <span class="html-italic">p</span> &lt; 0.05, the LEExoi group versus the LEExo group. Sham: the normal saline group. MExo group: the normal saline plus hpMSC exosome group. EExo group: the normal saline plus engineered exosome group. LPS: the lipopolysaccharide (LPS) group. LMExo: the LPS plus hpMSC exosome group. LMExoi: the LPS plus inhibitor-treated hpMSC exosome group. LEExo: the LPS plus engineered exosome group. LEExoi: the LPS plus inhibitor-treated engineered exosome group.</p>
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<p>(<b>A</b>) Representative gel photography of pro-apoptotic cleaved caspase 3 (19 KDa and 17 KDa) and Actin (internal standard), assayed via the Simple Western method and the relative band density of cleaved caspase 3 (19 KDa)/Actin and cleaved caspase 3 (17 KDa)/Actin ratios in lung tissues. Data were obtained from 5 mice in each group. (<b>B</b>) Representative microscopy fluorescent images of TUNEL assay of fragmented DNA (marked by the red arrow) and the TUNEL-positive cell counts in lung tissues. Data were obtained from 5 mice in each group. All assays were measured at 48 h after normal saline or lipopolysaccharide administration. Data represented as mean ± standard deviations. * <span class="html-italic">p</span> &lt; 0.05, versus the Sham group. # <span class="html-italic">p</span> &lt; 0.05, versus the LPS group. † <span class="html-italic">p</span> &lt; 0.05, the LMExoi group versus the LMExo group. ˄ <span class="html-italic">p</span> &lt; 0.05, the LEExoi group versus the LEExo group. Sham: the normal saline group. MExo group: the normal saline plus hpMSC exosome group. EExo group: the normal saline plus engineered exosome group. LPS: the lipopolysaccharide (LPS) group. LMExo: the LPS plus hpMSC exosome group. LMExoi: the LPS plus inhibitor-treated hpMSC exosome group. LEExo: the LPS plus engineered exosome group. LEExoi: the LPS plus inhibitor-treated engineered exosome group.</p>
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18 pages, 5886 KiB  
Article
A Study on the Visual Comfort of Urban Building Colors under Overcast and Rainy Weather
by Yihe Li, Binqing Xu and Yang Liu
Buildings 2024, 14(6), 1552; https://doi.org/10.3390/buildings14061552 - 27 May 2024
Cited by 1 | Viewed by 1032
Abstract
The color of urban architecture plays a crucial role in influencing the visual comfort of city inhabitants. During overcast and rainy conditions, there is a noticeable shift in how people perceive the comfort level of building colors and their visual recognition. This research [...] Read more.
The color of urban architecture plays a crucial role in influencing the visual comfort of city inhabitants. During overcast and rainy conditions, there is a noticeable shift in how people perceive the comfort level of building colors and their visual recognition. This research selects Hangzhou, a city renowned for its prevalent overcast rainy weather in China, gathering 60 samples across two distinct architectural types. It encompasses 120 architectural images captured during both overcast rainy and clear days. Furthermore, color values were extracted utilizing the Chinese architectural color card, adhering to the Munsell color system. As an empirical approach, a survey was conducted, enlisting 40 participants for a questionnaire assessment based on the Likert scale. Following descriptive analysis of the data, SPSS was utilized to conduct correlation analysis and regression analysis, unveiling the relationship between visual comfort and color attributes (hue, value, chroma). Subsequently, RStudio was employed to analyze the threshold of architectural color comfort, comparing overcast rainy weather with clear weather. The findings suggest a significant correlation between the value contrast of architectural colors and visual comfort during overcast rainy weather. Concerning value, the visual comfort threshold for residential buildings is within the range of 7 ≤ value < 10 and 3 ≤ value contrast < 5, whereas for commercial buildings, it is within the range of 4 ≤ value < 7 and 3 ≤ value contrast < 5. Regarding chroma, there is no correlation between chroma contrast and commercial buildings, while the visual comfort threshold for residential buildings lies within the range of 0 ≤ chroma < 4 and 4 ≤ chroma contrast < 8. Full article
(This article belongs to the Section Architectural Design, Urban Science, and Real Estate)
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Graphical abstract

Graphical abstract
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<p>Methodology and workflow.</p>
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<p>Weather distribution in Hangzhou 2013–2023. (Note: Due to the different total number of days each year, the total number of some years varies from 100%).</p>
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<p>Sample collection site.</p>
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<p>Images of residential and commercial buildings on overcast rainy and clear days: (<b>a</b>) residential buildings; (<b>b</b>) commercial buildings.</p>
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<p>Value range of V and VC, and C and CC.</p>
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<p>Elevation of laboratory room.</p>
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<p>Trends in the value and chroma of main and secondary colors of architectural colors under overcast rainy and clear weather conditions: (<b>a</b>) residential buildings; (<b>b</b>) commercial buildings.</p>
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<p>Pearson correlation analysis between color attributes and visual comfort: (<b>a</b>) Pearson correlation analysis between color attributes and visual comfort in residential buildings; (<b>b</b>) Pearson correlation analysis between color attributes and visual comfort in commercial buildings.</p>
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<p>Visual comfort thresholds for value contrast (VC) and chroma contrast (CC): (<b>A</b>) visual comfort thresholds for value contrast (VC) and chroma contrast (CC) in residential buildings; (<b>B</b>) visual comfort threshold for value contrast (VC) in commercial buildings.</p>
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<p>Visual comfort thresholds for value contrast (VC) and chroma contrast (CC): (<b>A</b>) visual comfort thresholds for value contrast (VC) and chroma contrast (CC) in residential buildings; (<b>B</b>) visual comfort threshold for value contrast (VC) in commercial buildings.</p>
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24 pages, 7830 KiB  
Article
Novel Learning of Bathymetry from Landsat 9 Imagery Using Machine Learning, Feature Extraction and Meta-Heuristic Optimization in a Shallow Turbid Lagoon
by Hang Thi Thuy Tran, Quang Hao Nguyen, Ty Huu Pham, Giang Thi Huong Ngo, Nho Tran Dinh Pham, Tung Gia Pham, Chau Thi Minh Tran and Thang Nam Ha
Geosciences 2024, 14(5), 130; https://doi.org/10.3390/geosciences14050130 - 11 May 2024
Viewed by 1746
Abstract
Bathymetry data is indispensable for a variety of aquatic field studies and benthic resource inventories. Determining water depth can be accomplished through an echo sounding system or remote estimation utilizing space-borne and air-borne data across diverse environments, such as lakes, rivers, seas, or [...] Read more.
Bathymetry data is indispensable for a variety of aquatic field studies and benthic resource inventories. Determining water depth can be accomplished through an echo sounding system or remote estimation utilizing space-borne and air-borne data across diverse environments, such as lakes, rivers, seas, or lagoons. Despite being a common option for bathymetry mapping, the use of satellite imagery faces challenges due to the complex inherent optical properties of water bodies (e.g., turbid water), satellite spatial resolution limitations, and constraints in the performance of retrieval models. This study focuses on advancing the remote sensing based method by harnessing the non-linear learning capabilities of the machine learning (ML) model, employing advanced feature selection through a meta-heuristic algorithm, and using image extraction techniques (i.e., band ratio, gray scale morphological operation, and morphological multi-scale decomposition). Herein, we validate the predictive capabilities of six ML models: Random Forest (RF), Support Vector Machine (SVM), CatBoost (CB), Extreme Gradient Boost (XGB), Light Gradient Boosting Machine (LGBM), and KTBoost (KTB) models, both with and without the application of meta-heuristic optimization (i.e., Dragon Fly, Particle Swarm Optimization, and Grey Wolf Optimization), to accurately ascertain water depth. This is achieved using a diverse input dataset derived from multi-spectral Landsat 9 imagery captured on a cloud-free day (19 September 2023) in a shallow, turbid lagoon. Our findings indicate the superior performance of LGBM coupled with Particle Swamp Optimization (R2 = 0.908, RMSE = 0.31 m), affirming the consistency and reliability of the feature extraction and selection-based framework, while offering novel insights into the expansion of bathymetric mapping in complex aquatic environments. Full article
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<p>Study framework (the dash lines in red and blue colors indicating the name of machine learning models and the metrics used in this study).</p>
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<p>Sam Chuon—Ha Trung lagoon, Vietnam, with field depth points (green circles, above), Landsat 9 image (below), and red rectangular indicates the study site in Vietnam.</p>
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<p>Tidal variation during the time of Landsat image acquisition.</p>
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<p>ML model performance for water depth estimation from Landsat 9: (<b>a</b>) CB, (<b>b</b>) SVM, (<b>c</b>) RF, (<b>d</b>) LGBM, (<b>e</b>) XGB, and (<b>f</b>) KTB models.</p>
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<p>ML comparison in Taylor plot for RF, SVM, XGB, CB, LGBM, and KTB models.</p>
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<p>LGBM model performance with (<b>a</b>) DF, (<b>b</b>) PSO, and (<b>c</b>) GWO.</p>
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<p>LGBM models with meta-heuristic optimization comparison in Taylor plot.</p>
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<p>Feature importance derived from LGBM-PSO.</p>
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<p>Bathymetry map derived from LGBM-PSO with tidal correction.</p>
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<p>Bathymetry profiles in Sam Chuon-Ha Trung lagoon: (<b>a</b>) three elevation profiles in the northern, central, and southern parts of the lagoon, including profile 1 (number 1), profile 2 (number 2), and profile 3 (number 3); (<b>b</b>) profile 1; (<b>c</b>) profile 2; (<b>d</b>) profile 3.</p>
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15 pages, 5025 KiB  
Article
High-Throughput Phenotyping for the Evaluation of Agronomic Potential and Root Quality in Tropical Carrot Using RGB Sensors
by Fernanda Gabriela Teixeira Coelho, Gabriel Mascarenhas Maciel, Ana Carolina Silva Siquieroli, Rodrigo Bezerra de Araújo Gallis, Camila Soares de Oliveira, Ana Luisa Alves Ribeiro and Lucas Medeiros Pereira
Agriculture 2024, 14(5), 710; https://doi.org/10.3390/agriculture14050710 - 30 Apr 2024
Cited by 1 | Viewed by 1046
Abstract
The objective of this study was to verify the genetic dissimilarity and validate image phenotyping using RGB (red, green, and blue) sensors in tropical carrot germplasms. The experiment was conducted in the city of Carandaí-MG, Brazil, using 57 tropical carrot entries from Seminis [...] Read more.
The objective of this study was to verify the genetic dissimilarity and validate image phenotyping using RGB (red, green, and blue) sensors in tropical carrot germplasms. The experiment was conducted in the city of Carandaí-MG, Brazil, using 57 tropical carrot entries from Seminis and three commercial entries. The entries were evaluated agronomically and two flights with Remotely Piloted Aircraft (RPA) were conducted. Clustering was performed to validate the existence of genetic variability among the entries using an artificial neural network to produce a Kohonen’s self-organizing map. The genotype–ideotype distance index was used to verify the best entries. Genetic variability among the tropical carrot entries was evidenced by the formation of six groups. The Brightness Index (BI), Primary Colors Hue Index (HI), Overall Hue Index (HUE), Normalized Green Red Difference Index (NGRDI), Soil Color Index (SCI), and Visible Atmospherically Resistant Index (VARI), as well as the calculated areas of marketable, unmarketable, and total roots, were correlated with agronomic characters, including leaf blight severity and root yield. This indicates that tropical carrot materials can be indirectly evaluated via remote sensing. Ten entries were selected using the genotype–ideotype distance (2, 15, 16, 22, 34, 37, 39, 51, 52, and 53), confirming the superiority of the entries. Full article
(This article belongs to the Section Crop Genetics, Genomics and Breeding)
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<p>Location and visualization of the experiment on the flight of a remotely piloted aircraft. Climograph representing the experimental period in Carandaí, MG, Brazil from November 2019 to March 2020.</p>
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<p>Flowchart of the image acquisition, processing steps, field data collection, and data analysis in carrot germplasm in the city of Carandaí-MG, Brazil.</p>
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<p>Groups I, II, II, IV, V and VI of the 60 tropical carrot entries evaluated in the city of Carandaí-MG, Brazil, obtained using Kohonen’s self-organizing map (<b>A</b>). Contribution of agronomic variables to the grouping, where lighter colors indicate greater contribution to group formation (<b>B</b>). BP—bolting percentage (%), DIS—score for severity of leaf blight, SHP—percentage of purple or green shoulder (%), RL—length (cm), RD—root diameter (cm), LW—fresh leaf weight (kg), MRP—percentage of marketable roots (%), URP—percentage of unmarketable roots (%), TYH—estimated total yield (t ha<sup>−1</sup>), MYH—estimated yield of marketable roots (t ha<sup>−1</sup>).</p>
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<p>Histograms of distribution and frequency of pixels found for the visible channels and for vegetation indices in 60 carrot entries in the city of Carandaí-MG, Brazil.</p>
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<p>Representation of the behavior of the vegetation indices: Visible Atmospherically Resistant Index (VARI), Soil Color Index (SCI), Green Leaf Index (GLI), and Normalized Green Red Difference Index (NGRDI) calculated from orthophoto 1, which contained the leaf portion of the carrot entries (<b>A</b>). The determination of marketable roots area (MRA) (green) and unmarketable roots area (URA) (yellow) in orthophoto 2, obtained by identifying and contouring the marketable and unmarketable roots groups in each plot. Both orthophotos and analyses are from tropical carrot entries, in the city of Carandaí-MG, Brazil (<b>B</b>).</p>
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<p>Correlation matrix (Pearson’s <span class="html-italic">r</span>) for agronomic characters, vegetation indices, and root areas in carrot entries in the city of Carandaí-MG, Brazil. Significant correlations using Pearson’s test (<span class="html-italic">p</span> &lt; 0.05) are shown in shades of blue (positive) and red (negative). BP—bolting percentage (%), DIS—leaf blight severity score, SHP—percentage of purple or green shoulder (%), RL—average root length (cm), RD—average root diameter (cm), LW—fresh leaf weight (kg), MRP—percentage of marketable roots (%), URP—percentage of unmarketable roots (%), TYH—estimated total yield (t ha<sup>−1</sup>), MYH—estimated yield of marketable roots (t ha<sup>−1</sup>), MRA—marketable roots area (m<sup>2</sup>), URA—unmarketable roots area (m<sup>2</sup>), TRA—total root area (m<sup>2</sup>).</p>
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<p>Ranking of 60 carrot entries in ascending order and selected entries (in red) based on genotype–ideotype distance. The red circle refers to the cutoff point according to selection pressure (<b>A</b>). Boxplots of selected and unselected entries according to agronomic characters: BP—bolting percentage (%), DIS—score for severity of leaf blight, SHP—percentage of purple or green shoulder (%), RL—length (cm), RD—root diameter (cm), LW—fresh leaf weight (kg), MRP—percentage of marketable roots (%), URP—percentage of unmarketable roots (%), TYH—estimated total yield (t ha<sup>−1</sup>), MYH—estimated yield of marketable roots (t ha<sup>−1</sup>) (<b>B</b>).</p>
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<p>Ranking of 60 carrot entries in ascending order and selected entries (in red) based on genotype–ideotype distance. The red circle refers to the cutoff point according to selection pressure (<b>A</b>). Boxplots of selected and unselected entries according to agronomic characters: BP—bolting percentage (%), DIS—score for severity of leaf blight, SHP—percentage of purple or green shoulder (%), RL—length (cm), RD—root diameter (cm), LW—fresh leaf weight (kg), MRP—percentage of marketable roots (%), URP—percentage of unmarketable roots (%), TYH—estimated total yield (t ha<sup>−1</sup>), MYH—estimated yield of marketable roots (t ha<sup>−1</sup>) (<b>B</b>).</p>
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