[go: up one dir, main page]

 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (325)

Search Parameters:
Keywords = CAA

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
13 pages, 709 KiB  
Article
Discriminant Analysis as a Tool to Classify Grasslands Based on Near-Infrared Spectra
by Silvia Parrini, Maria Chiara Fabbri, Giovanni Argenti, Nicolina Staglianò, Carolina Pugliese and Riccardo Bozzi
Animals 2024, 14(18), 2646; https://doi.org/10.3390/ani14182646 - 12 Sep 2024
Viewed by 209
Abstract
This study aims to classify plant communities by applying discriminant analysis based on principal components (DAPC) on near-infrared spectra (FT-NIRS) starting from fresh herbage samples. Grassland samples (n~156) belonged to (i) recent alfalfa pure crops (CAA), (ii) recent grass–legume mixtures (GLM), [...] Read more.
This study aims to classify plant communities by applying discriminant analysis based on principal components (DAPC) on near-infrared spectra (FT-NIRS) starting from fresh herbage samples. Grassland samples (n~156) belonged to (i) recent alfalfa pure crops (CAA), (ii) recent grass–legume mixtures (GLM), (iii) permanent meadows derived from old alfalfa stands that were re-colonized (PMA), and iv) permanent meadows originated from old grass–legume mixtures (PLM). Samples were scanned using FT-NIRS, and a multivariate exploration of the original spectra was performed using DAPC. The following two scenarios were proposed: (i) cross-validation, where all data were used for model training, and (ii) semi-external validation, where the group assignment was performed without samples of the training set. The first two components explained 98% of the total variability. The DAPC model resulted in an overall assignment success rate of 77%, and, from cross-validation, it emerged that it was possible to assign the CAA and PMA to their group with more than of 80% of success, which were different in botanical and chemical composition. In comparison, GLM and PLM obtained lower success of assignment (~52%). External validation suggested similarity between PLM and GLM groups (93%) and between GLM and PLM (77%). However, a dataset increase could improve group differentiation. Full article
(This article belongs to the Section Animal System and Management)
Show Figures

Figure 1

Figure 1
<p>Sampling sites.</p>
Full article ">Figure 2
<p>Scree plot of the total explained variance of the spectra data.</p>
Full article ">Figure 3
<p>Biplot of the DAPC analysis.</p>
Full article ">
14 pages, 1587 KiB  
Review
Coronary Artery Aneurysms: A Clinical Case Report and Literature Review Supporting Therapeutic Choices
by Michele Sannino, Matteo Nicolai, Fabio Infusino, Luciani Giulio, Tommaso Leo Usai, Giovanni Biscotti, Alessandro Azzarri, Marina De Angelis D’Ossat, Sergio Calcagno and Simone Calcagno
J. Clin. Med. 2024, 13(18), 5348; https://doi.org/10.3390/jcm13185348 - 10 Sep 2024
Viewed by 406
Abstract
Coronary artery aneurysms (CAAs) are uncommon but significant cardiovascular abnormalities characterized by an abnormal increase in vascular diameter. CAAs are classified based on their shape as either saccular or fusiform, and their causes can range from atherosclerosis, Kawasaki disease, to congenital and iatrogenic [...] Read more.
Coronary artery aneurysms (CAAs) are uncommon but significant cardiovascular abnormalities characterized by an abnormal increase in vascular diameter. CAAs are classified based on their shape as either saccular or fusiform, and their causes can range from atherosclerosis, Kawasaki disease, to congenital and iatrogenic factors. CAAs often present asymptomatically, but when symptoms occur, they can include angina, myocardial infarction, or even sudden cardiac death due to intravascular thrombosis involving the CAA. Diagnosis is typically confirmed through coronary angiography, though CT and other imaging techniques can provide additional details. The management of CAAs is variable depending on their size, location, and the presence of symptoms or complications. Treatment options include medical therapy, percutaneous coronary intervention (PCI), or surgical approaches. In this paper, we describe the case report of a 79-year-old male who presented with palpitations and was diagnosed with a right coronary artery aneurysm, and a review of the literature is delineated, underscoring the importance of individualized treatment strategies for CAAs. Full article
Show Figures

Figure 1

Figure 1
<p>Flowchart for the diagnosis and treatment of coronary artery aneurysm (CAA). DRV diameter of the reference vessel; CAG: coronary angiography; IVUS intravascular ultrasound; OCT optical coherence tomography; MR magnetic resonance; TEE trans-esophageal echocardiography; TTE: transthoracic echocardiography; PCI percutaneous coronary intervention; LM left main.</p>
Full article ">Figure 2
<p>Coronary angiography in three different projections of the right coronary artery (in order: LAO 30, RAO 30, LAO 30 CRAN 30) showing an aneurysmal formation in the mid–proximal segment.</p>
Full article ">Figure 3
<p>Three-dimensional reconstruction of CT for viewing the right coronary artery, highlighting the aneurysmal formation in the middle segment and its relationship with surrounding anatomical structures.</p>
Full article ">Figure 4
<p>Two-dimensional reconstruction of the right coronary artery to allow for a more accurate measurement of the length and maximum diameter of the aneurysmal segment.</p>
Full article ">
14 pages, 7297 KiB  
Article
Unveiling New Product Formations beyond Conventional Pathways in De-Halogenation of Halo-Acetic Acids Using Ni-Encapsulated Sol-Gel Catalysts
by Kavya Vidyadharan, Dan Meyerstein, Vered Marks, Ariela Burg, Michael Meistelman and Yael Albo
Catalysts 2024, 14(9), 596; https://doi.org/10.3390/catal14090596 - 5 Sep 2024
Viewed by 435
Abstract
The urgency of water remediation and the conversion of toxic pollutants into non-toxic compounds is increasingly crucial in our industrialized world. Heterogeneous catalysts based on metal nanoparticles, which are cost-effective, non-toxic, and readily available, have garnered significant attention in the market due to [...] Read more.
The urgency of water remediation and the conversion of toxic pollutants into non-toxic compounds is increasingly crucial in our industrialized world. Heterogeneous catalysts based on metal nanoparticles, which are cost-effective, non-toxic, and readily available, have garnered significant attention in the market due to their unique catalytic properties. This study presents sol–gel-based hybrid silica matrices that encapsulate nickel, designed for the efficient reductive de-halogenation of tri-bromoacetic acid (TBAA), di-bromoacetic acid (DBAA), mono-bromoacetic acid (MBAA), tri-chloroacetic acid (TCAA), mono-chloroacetic acid (MCAA), and Chloroacetanilide (CAA). A detailed study of the product distribution from each halo-acetic acid (HAA) is presented. The study points out that other products are formed from Ni-catalyzed reduction reactions of HAAs, breaking the conventional rules of stepwise reduction mechanisms. The plausible mechanisms of the catalytic processes are discussed. Full article
(This article belongs to the Special Issue Commemorative Special Issue for Prof. Dr. Dion Dionysiou)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>SEM/EDX images of (<b>a</b>) blank ORMOSIL (<b>b</b>) 1% Ni(0)@ORMOSIL.</p>
Full article ">Figure 2
<p>XRD spectra of Ni(0) nanoparticle, blank ORMOSIL (SiO<sub>2</sub>), and 1% Ni(0)@ORMOSIL.</p>
Full article ">Figure 3
<p>N<sub>2</sub> adsorption–desorption isotherms of (<b>a</b>) 1% Ni(0)@ORMOSIL and (<b>b</b>) blank ORMOSIL.</p>
Full article ">Figure 4
<p>TBAA reduction using 0.025 g of 1% Ni(0)@ORMOSIL in different ratios between [TBAA]:[NaBH<sub>4</sub>]. [TBAA] = 0.01 M (BFA = bromo-fumaric acid).</p>
Full article ">Figure 5
<p>TBAA reduction using 1% Ni(0)@ORMOSIL in three different catalyst amounts. [TBAA] = 0.05 M, [NaBH<sub>4</sub>] = 0.3 M (negligible amount of cis-maleic acid detected in the HPLC chromatograms).</p>
Full article ">Figure 6
<p><sup>1</sup>H NMR spectrum of TBAA reduction using the Ni(0)@ORMOSIL catalyst in two different ratios between [TBAA] and [NaBH<sub>4</sub>]; 1:6 (red line) and 1:10 (black line) (Same samples as in <a href="#catalysts-14-00596-f004" class="html-fig">Figure 4</a>).</p>
Full article ">Figure 7
<p>TBAA reduction reaction comparison between the homogenous and heterogenous versions of nickel. (<b>A</b>) 1% Ni(0)@ORMOSIL, (<b>B</b>) Ni(0) suspension, (<b>C</b>) 1% Ni(II)@ORMOSIL, (<b>D</b>) Ni(II) in aqueous solution. Heterogenous catalysts used are 0.025 g each of 1% Ni(II)@ORMOSIL and 1% Ni(0)@ORMOSIL. [TBAA] = 0.01 M, [NaBH<sub>4</sub>] = 0.1 M.</p>
Full article ">Figure 8
<p>DBAA reduction using 0.2 g 1% Ni(0)@ORMOSIL in two ratios between [DBAA] and [NaBH<sub>4</sub>]. [DBAA] = 0.01 M.</p>
Full article ">Figure 9
<p>CAA reduction using 0.2 g 1% Ni(II)@ORMOSIL. [CAA] = 0.01 M.</p>
Full article ">Figure 10
<p>Ni(II)@ORMOSIL catalyzed reduction reactions of TBAA (TBAA:NaBH<sub>4</sub>; 0.05:0.3), DBAA (DBAA:NaBH<sub>4</sub>; 0.01:0.1), MBAA (MBAA:NaBH<sub>4</sub>; 0.01:0.04), TCAA (TCAA:NaBH<sub>4</sub>; 0.05:1), MCAA (MCAA:NaBH<sub>4</sub>; 0.05:0.75) and CAA (CAA:NaBH<sub>4</sub>; 0.01:0.06).</p>
Full article ">
17 pages, 1615 KiB  
Article
Kawasaki Disease Diagnosis and Treatment in over 1000 Patients: A Continuum of Dysregulated Inflammatory Responses
by Stejara A. Netea, Giske Biesbroek, Diana van Stijn, Sietse Q. Nagelkerke, Kawasaki Study Group, CAHAL Group, KIRI Group, Irene M. Kuipers and Taco W. Kuijpers
Biomedicines 2024, 12(9), 2014; https://doi.org/10.3390/biomedicines12092014 - 3 Sep 2024
Viewed by 324
Abstract
Background: Kawasaki disease (KD) is a pediatric vasculitis, leading to coronary artery aneurysms (CAAs) in ~4–14%. Attention to the etiology and course of KD was generated by the close mimic of a SARS-CoV-2-induced phenotype, called multisystem inflammatory syndrome in children (MIS-C). Methods: A [...] Read more.
Background: Kawasaki disease (KD) is a pediatric vasculitis, leading to coronary artery aneurysms (CAAs) in ~4–14%. Attention to the etiology and course of KD was generated by the close mimic of a SARS-CoV-2-induced phenotype, called multisystem inflammatory syndrome in children (MIS-C). Methods: A total of 1179 cases were collected from 2012 with ~50% of cases retrospectively included. Clinical characteristics were described and risk factors for CAA (persistence) were investigated. Phenotypic patterns of the prospectively included KD patients were evaluated. These patterns were also compared to the seronegative KD and seropositive MIS-C cases identified during the SARS-CoV-2 pandemic. Results: KD mostly affected boys and children < 5 years. IVIG resistance, CAAs, and giant CAAs occurred in 24.5%, 21.4%, and 6.6%, respectively. Giant CAAs were significantly more likely to normalize to a normal Z score in patients that were younger than 2.5 years old at the time of initial giant CAA (χ2 test p = 0.02). In our prospective (SARS-CoV-2-seronegative) KD series, there was a diminishing male predominance over time, whereas the proportions of incomplete presentations (p < 0.001) and patients with circulatory shock (p = 0.04) increased since the COVID-19 pandemic. Pre- and post-pandemic KD cases presented with different levels of C-reactive protein, thrombocyte counts, and hemoglobin levels over the years. Compared to pandemic KD, SARS-CoV-2-seropositive MIS-C patients were older (p < 0.001), and more often required intensive care admission (p < 0.001), with a gradual decrease over time between 2020 and 2022 (p = 0.04). KD carried a substantial risk of CAA development in contrast to MIS-C. Conclusion: the phenotypic changes seen over the last twelve years of our prospective follow-up study suggest a spectrum of hyperinflammatory states with potentially different triggering events within this clinical entity. Full article
(This article belongs to the Section Molecular and Translational Medicine)
Show Figures

Figure 1

Figure 1
<p>Inclusion flowchart.</p>
Full article ">Figure 2
<p>Number of complete KD, incomplete KD and MIS-C inclusions in the Amsterdam cohort in the COVID-19 pandemic with the dominating strains of SARS-CoV-2 depicted in the dashed frames shown per month of inclusion (<b>A</b>) and continuously over-time (<b>B</b>).</p>
Full article ">Figure 3
<p>Annual trends seen for male sex distribution (<b>A</b>), complete presentations (<b>B</b>) and circulatory shock (<b>C</b>) in prospectively included patients (all patients included between 2012 and 2023).</p>
Full article ">
16 pages, 6015 KiB  
Review
Coronary Artery Aneurysm or Ectasia as a Form of Coronary Artery Remodeling: Etiology, Pathogenesis, Diagnostics, Complications, and Treatment
by Patrycja Woźniak, Sylwia Iwańczyk, Maciej Błaszyk, Konrad Stępień, Maciej Lesiak, Tatiana Mularek-Kubzdela and Aleksander Araszkiewicz
Biomedicines 2024, 12(9), 1984; https://doi.org/10.3390/biomedicines12091984 - 2 Sep 2024
Viewed by 409
Abstract
Coronary artery aneurysm or ectasia (CAAE) is a term that includes both coronary artery ectasia (CAE) and coronary artery aneurysm (CAA), despite distinct phenotypes and definitions. This anomaly can be found in 0.15–5.3% of coronary angiography. CAE is a diffuse dilatation of the [...] Read more.
Coronary artery aneurysm or ectasia (CAAE) is a term that includes both coronary artery ectasia (CAE) and coronary artery aneurysm (CAA), despite distinct phenotypes and definitions. This anomaly can be found in 0.15–5.3% of coronary angiography. CAE is a diffuse dilatation of the coronary artery at least 1.5 times wider than the diameter of the normal coronary artery in a patient with a length of over 20 mm or greater than one-third of the vessel. CAE can be further subdivided into diffuse and focal dilations by the number and the length of the dilated vessels. Histologically, it presents with extensive destruction of musculoelastic elements, marked degradation of collagen and elastic fibers, and disruption of the elastic lamina. Conversely, CAA is a focal lesion manifesting as focal dilatation, which can be fusiform (if the longitudinal diameter is greater than the transverse) or saccular (if the longitudinal diameter is smaller than the transverse). Giant CAA is defined as a 4-fold enlargement of the vessel diameter and is observed in only 0.02% of patients after coronary. An aneurysmal lesion can be either single or multiple. It can be either a congenital or acquired phenomenon. The pathophysiological mechanisms responsible for the formation of CAAE are not well understood. Atherosclerosis is the most common etiology of CAAE in adults, while Kawasaki disease is the most common in children. Other etiological factors include systemic connective tissue diseases, infectious diseases, vasculitis, congenital anomalies, genetic factors, and idiopathic CAA. Invasive assessment of CAAE is based on coronary angiography. Coronary computed tomography (CT) is a noninvasive method that enables accurate evaluation of aneurysm size and location. The most common complications are coronary spasm, local thrombosis, distal embolization, coronary artery rupture, and compression of adjacent structures by giant coronary aneurysms. The approach to each patient with CAAE should depend on the severity of symptoms, anatomical structure, size, and location of the aneurysm. Treatment methods should be carefully considered to avoid possible complications of CAAE. Simultaneously, we should not unnecessarily expose the patient to the risk of intervention or surgical treatment. Patients can be offered conservative or invasive treatment. However, there are still numerous controversies and ambiguities regarding the etiology, prognosis, and treatment of patients with coronary artery aneurysms. This study summarizes the current knowledge about this disease’s etiology, pathogenesis, and management. Full article
Show Figures

Figure 1

Figure 1
<p>Possible morphologies and clinical manifestations of aneurysmal dilatation of coronary arteries. White arrow indicates the blood flow.</p>
Full article ">Figure 2
<p>Coronary angiograms showing (<b>A</b>) saccular aneurysm of the right coronary artery (arrow), (<b>B</b>) saccular aneurysm of the mid-segment of the left anterior descending artery (arrow), (<b>C</b>) fusiform aneurysm of the left anterior descending artery (arrow), (<b>D</b>) saccular aneurysm of the left main coronary artery (arrow), (<b>E</b>) coronary artery ectasia of the right coronary artery, and (<b>F</b>) coronary artery ectasia of the left circumflex artery.</p>
Full article ">Figure 3
<p>Coronary angiography of the saccular aneurysm (arrow) in the mid-segment of the left anterior descending artery.</p>
Full article ">Figure 4
<p>IVUS of the left anterior descending artery before the aneurysmal lesion, within and after the aneurysmal lesion. We have given many cross-sections to present the proximal and distal vessel references and aneurysm-to-reference ratio, showing how large the lesion is. We have also provided the legend to make it easily readable: A—aneurysm; P—proximal; D—distal; arrows—maximal vessel diameter of aneurysm.</p>
Full article ">Figure 5
<p>Coronary angiography of the fusiform aneurysm (arrow) of the left anterior descending artery.</p>
Full article ">Figure 6
<p>OCT of the left anterior descending artery before the aneurysmal lesion, within and after the aneurysmal lesion. We have given many cross-sections to present the proximal and distal vessel references and aneurysm-to-reference ratio, showing how large the lesion is. We have also provided the legend to make it easily readable: A—aneurysm; P—proximal; D—distal; arrows—maximal vessel diameter of aneurysm; asterisk—side branch.</p>
Full article ">Figure 7
<p>The aneurysmal lesion (arrow) of the left main coronary artery in CT.</p>
Full article ">Figure 8
<p>Illustration of the clinical manifestations of CAAE.</p>
Full article ">
23 pages, 20498 KiB  
Article
Alleviating Effect of Lipid Phytochemicals in Seed Oil (Brassica napus L.) on Oxidative Stress Injury Induced by H2O2 in HepG2 Cells via Keap1/Nrf2/ARE Signaling Pathway
by Simin Peng, Luyan Liao, Huiqing Deng, Xudong Liu, Qian Lin and Weiguo Wu
Nutrients 2024, 16(17), 2820; https://doi.org/10.3390/nu16172820 - 23 Aug 2024
Viewed by 850
Abstract
α-tocopherol (α-T), β-sitosterol (β-S), canolol (CA), and sinapic acid (SA) are the four main endogenous lipid phytochemicals (LP) found in Brassica napus L. seed oil, which possess the bioactivity to prevent the risk of several chronic diseases via antioxidant-associated mechanisms. Discovering the enhancer [...] Read more.
α-tocopherol (α-T), β-sitosterol (β-S), canolol (CA), and sinapic acid (SA) are the four main endogenous lipid phytochemicals (LP) found in Brassica napus L. seed oil, which possess the bioactivity to prevent the risk of several chronic diseases via antioxidant-associated mechanisms. Discovering the enhancer effects or synergies between LP is valuable for resisting oxidative stress and improving health benefits. The objectives of this study were to identify a potentially efficacious LP combination by central composite design (CCD) and cellular antioxidant activity (CAA) and to investigate its protective effect and potential mechanisms against H2O2-induced oxidative damage in HepG2 cells. Our results indicated that the optimal concentration of LP combination was α-T 10 μM, β-S 20 μM, SA 125 μM, and CA 125 μM, respectively, and its CAA value at the optimal condition was 10.782 μmol QE/100 g. At this concentration, LP combination exerted a greater amelioration effect on H2O2-induced HepG2 cell injury than either antioxidant (tea polyphenols or magnolol) alone. LP combination could reduce the cell apoptosis rate induced by H2O2, lowered to 10.06%, and could alleviate the degree of oxidative damage to cells (ROS↓), lipids (MDA↓), proteins (PC↓), and DNA (8-OHdG↓). Additionally, LP combination enhanced the antioxidant enzyme activities (SOD, CAT, GPX, and HO-1), as well as the T-AOC, and increased the GSH level in HepG2 cells. Furthermore, LP combination markedly upregulated the expression of Nrf2 and its associated antioxidant proteins. It also increased the expression levels of Nrf2 downstream antioxidant target gene (HO-1, SOD-1, MnSOD, CAT, GPX-1, and GPX-4) and downregulated the mRNA expression levels of Keap1. The oxidative-stress-induced formation of the Keap1/Nrf2 complex in the cytoplasm was significantly blocked by LP treatment. These results indicate that LP combination protected HepG2 cells from oxidative stress through a mechanism involving the activation of the Keap1/Nrf2/ARE signaling pathways. Full article
(This article belongs to the Section Phytochemicals and Human Health)
Show Figures

Figure 1

Figure 1
<p>Chemical structures of the main LP in <span class="html-italic">Brassica napus</span> L. seed oils. (<b>a</b>) Four lipophilic isomers of tocopherols. (<b>b</b>) Four types of phytosterols. (<b>c</b>) Types of polyphenols.</p>
Full article ">Figure 2
<p>Cell viability of HepG2 cells after incubation with α-tocopherol (<b>a</b>), β-sitosterol (<b>b</b>), sinapic acid (<b>c</b>), canolol (<b>d</b>), tea polyphenols (<b>e</b>), and magnolol (<b>f</b>) for 24 h detected by CCK-8 assay. * <span class="html-italic">p</span> &lt; 0.05 versus 0 concentration group.</p>
Full article ">Figure 3
<p>Cell viability of HepG2 cells after incubation with QE for 24 h detected by CCK-8 assay; (<b>a</b>) chemical structure of QE. (<b>b</b>) Cell viability of HepG2 cells after incubation with QE. (<b>c</b>) Peroxyl radical-induced oxidation of DCFH to DCF in HepG2 cells and inhibition of oxidation by QE (mean ± SD, n = 3). (<b>d</b>) The CAA standard curve of QE in the concentrations of 0, 2, 4, 8, 16, and 32 μM.</p>
Full article ">Figure 4
<p>Three-dimensional surface plots from CCD model representing the effects of LP concentration on CAA value. The interactions between (<b>a</b>) α-T and β-S, (<b>b</b>) α-T and SA, (<b>c</b>) α-T and CA, (<b>d</b>) SA and β-S, (<b>e</b>) CA and β-S, and (<b>f</b>) CA and SA were analyzed.</p>
Full article ">Figure 5
<p>LP (G), tea polyphenols (T), and magnolol (M) alleviated H<sub>2</sub>O<sub>2</sub>-induced cell apoptosis. (<b>a</b>) Flow cytometry data of HepG2 cells at different conditions. Control group, control without antioxidants and H<sub>2</sub>O<sub>2</sub>; H<sub>2</sub>O<sub>2</sub> group<sub>,</sub> H<sub>2</sub>O<sub>2</sub>-induced injury model with only addition of 200 μM H<sub>2</sub>O<sub>2</sub>; T group, tea polyphenols treatment (addition of tea polyphenols + H<sub>2</sub>O<sub>2</sub>); M group, magnolol treatment (addition of magnolol + H<sub>2</sub>O<sub>2</sub>); G group, LP treatment (addition of LP combination + H<sub>2</sub>O<sub>2</sub>). (<b>b</b>) Statistical results of HepG2 cell apoptosis rate. Data expressed as mean ± SE (n = 3); the different lowercase letters represent statistical difference between the groups. Statistical markers a/b/c/d (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 6
<p>LP (G), tea polyphenols (T), and magnolol (M) alleviated the oxidative stress damage in H<sub>2</sub>O<sub>2</sub>-mediated HepG2 cells. (<b>a</b>) ROS levels were measured using DCFH-DA staining via flow cytometry; (<b>b</b>) detection of the effect of oxidative damage on DNA (8-OHdG level), protein (MDA level), and lipid (PC level). The control group was not subjected to any treatment. The H<sub>2</sub>O<sub>2</sub> group was only treated with 200 μM H<sub>2</sub>O<sub>2</sub> for 2 h. For the other three drug groups, the HepG2 cells were treated with G, T, or M for 24 h and then incubated for 2 h with 200 μM H<sub>2</sub>O<sub>2</sub>. All the level intensities were quantified, and results are expressed as mean ± SEM. The letters a, b, c, d, and e in the figures represent significant differences between different letters (<span class="html-italic">p</span> &lt; 0.05). (T: abbreviation of tea polyphenols; M: abbreviation of magnolol; G: abbreviation of group of LP.)</p>
Full article ">Figure 7
<p>Activity of (<b>a</b>) T-AOC, (<b>b</b>) GSH, and (<b>c</b>) antioxidant enzymes (SOD, GPX, HO-1, and CAT) in HepG2 cells. The control group was not subjected to any treatment. The H<sub>2</sub>O<sub>2</sub> group was only treated with 200 μM H<sub>2</sub>O<sub>2</sub>. H<sub>2</sub>O<sub>2</sub> + T group, tea polyphenols treatment (addition of tea polyphenols + H<sub>2</sub>O<sub>2</sub>); H<sub>2</sub>O<sub>2</sub> + M group, magnolol treatment (addition of magnolol + H<sub>2</sub>O<sub>2</sub>); H<sub>2</sub>O<sub>2</sub> + G group, LP treatment (addition of LP combination + H<sub>2</sub>O<sub>2</sub>). Data expressed as mean ± SE (n = 3); the different lowercase letters represent statistical difference between the groups. Statistical markers a/b/c/d/e (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 8
<p>LP(G)/tea polyphenols(T)/magnolol(M)-mediated gene expression changes in HepG2 cells. The expression of (<b>a</b>) <span class="html-italic">HO-1</span>, <span class="html-italic">SOD-1</span>, and <span class="html-italic">MnSOD</span> and (<b>b</b>) <span class="html-italic">CAT, GPX-1</span>, and <span class="html-italic">GPX-4</span> were determined by measuring the mRNA levels with qPCR. All results are expressed as mean ± SEM. * <span class="html-italic">p</span> &lt; 0.05, versus control; # <span class="html-italic">p</span> &lt; 0.05, versus H<sub>2</sub>O<sub>2</sub> group. The control group was not subjected to any treatment. The H<sub>2</sub>O<sub>2</sub> group was only treated with 200 μM H<sub>2</sub>O<sub>2</sub>. H<sub>2</sub>O<sub>2</sub> + T group, tea polyphenols treatment (addition of tea polyphenols + H<sub>2</sub>O<sub>2</sub>); H<sub>2</sub>O<sub>2</sub> + M group, magnolol treatment (addition of magnolol + H<sub>2</sub>O<sub>2</sub>); H<sub>2</sub>O<sub>2</sub> + G group, LP treatment (addition of LP combination + H<sub>2</sub>O<sub>2</sub>).</p>
Full article ">Figure 9
<p>LP (G)/tea polyphenols (T)/magnolol (M)-mediated Nrf2/Keap1 gene and protein expression changes. The expression of (<b>a</b>) <span class="html-italic">Nrf2</span> and (<b>b</b>) <span class="html-italic">keap1</span> was determined by measuring the mRNA levels with qPCR. (<b>c</b>) Nrf2/Keap1 expression was determined by measuring the protein levels with WB. All results are expressed as mean ± SEM. * <span class="html-italic">p</span> &lt; 0.05, versus control; # <span class="html-italic">p</span> &lt; 0.05, versus H<sub>2</sub>O<sub>2</sub> group. The control group was not subjected to any treatment. The H<sub>2</sub>O<sub>2</sub> group was only treated with 200 μM H<sub>2</sub>O<sub>2</sub>. H<sub>2</sub>O<sub>2</sub> + T group, tea polyphenols treatment (addition of tea polyphenols + H<sub>2</sub>O<sub>2</sub>); H<sub>2</sub>O<sub>2</sub> + M group, magnolol treatment (addition of magnolol + H<sub>2</sub>O<sub>2</sub>); H<sub>2</sub>O<sub>2</sub> + G group, LP treatment (addition of LP combination + H<sub>2</sub>O<sub>2</sub>).</p>
Full article ">Figure 10
<p>Schematic overview of the putative antioxidant mechanisms of action of LP inside HepG2 cells. Red solid arrows represent H<sub>2</sub>O<sub>2</sub> stimulation induces oxidative stress; Green dotted arrows represent activation of Nrf2/ARE pathway, the arrow represents activation while the flat arrow represents inhibition; Green solid flat arrows represent ROS inhibition by LP; Upward and downward green solid arrows represent increase and decrease, respectively.</p>
Full article ">
21 pages, 4920 KiB  
Article
Effects of Scallop Shells and Starfish (Asterias amurensis) on Stabilization of Metalloid (As) and Heavy Metal (Pb and Zn)-Contaminated Soil
by Se Hyun Park, Sang Hyeop Park, Agamemnon Koutsospyros and Deok Hyun Moon
Agronomy 2024, 14(8), 1781; https://doi.org/10.3390/agronomy14081781 - 13 Aug 2024
Viewed by 619
Abstract
Mining and industrial operations are often associated with metalloid and heavy metal contamination of terrestrial and aquatic ecosystems. Heavy metals can weaken the soil’s purification ability to remediate and can accumulate in the human body through crops grown in contaminated soil. In this [...] Read more.
Mining and industrial operations are often associated with metalloid and heavy metal contamination of terrestrial and aquatic ecosystems. Heavy metals can weaken the soil’s purification ability to remediate and can accumulate in the human body through crops grown in contaminated soil. In this study, a stabilization method was applied for the remediation of arsenic (As) and heavy metal (Pb and Zn) contaminated soil. Scallop shells (SLS) and starfish (Asterias amurensis, ASF), commonly regarded as waste resource materials, are selected as stabilizers. Proper recycling/reuse measures are required to limit uncontrolled disposal of SLS and ASF, prevent environmental degradation of coastal areas, and take advantage of their high calcium carbonate contents. The stabilizers were processed through −#10 mesh (0.2 mm) and −#20 mesh (0.85 mm) sieves. In addition, calcined stabilizers were produced by calcining SLS and ASF at 900 °C to compare stabilization efficiency based on the presence/absence of high-temperature heat treatment. Each of the three types of processed stabilizers was added to contaminated soil at 2 to 10 wt.%, and the mixtures were subjected to wet curing for 28 days. Extraction with 0.1 N HCl was applied for stabilization efficiency assessment. Crops were cultivated in the stabilized soil to evaluate As and heavy metal immobilization capacity. Analysis by X-ray diffraction (XRD) established that calcite (CaCO3) was observed in the natural materials and quicklime (CaO) in the calcined materials. The stabilization efficiency assessment results showed that treatment with SLS and ASF effectively reduced the elution of Pb and Zn. SLS was effective in immobilizing As, but the application of natural ASF increased the leachability of As due to the presence of organic matter. However, applying calcined ASF effectively immobilized As because the organic matter was removed at high temperatures. When the transition of As and heavy metals to crops was evaluated, Pb concentrations that exceeded the criterion for leafy vegetables were detected in the lettuce grown in contaminated soil. However, Pb was not detected in the lettuce grown in SLS- and ASF-treated soil, confirming the stability of heavy metal immobilization. Scanning electron microscopy–energy dispersive X-ray spectroscopy (SEM-EDX) analysis showed that the pozzolanic reaction is related to heavy metal immobilization, and Ca–As precipitation is related to the immobilization of As. The results of this study verified that SLS and ASF effectively immobilize As and heavy metals (Pb and Zn) around mines and that they can be used safely in agricultural soil. Full article
Show Figures

Figure 1

Figure 1
<p>The schematic illustration of lettuce cultivation in the control pot (<b>a</b>) and the stabilization pot (<b>b</b>).</p>
Full article ">Figure 2
<p>XRD pattern of contaminated soil.</p>
Full article ">Figure 3
<p>XRD patterns of natural materials (SLS and ASF).</p>
Full article ">Figure 4
<p>XRD patterns of calcined materials (CSLS and CASF).</p>
Full article ">Figure 5
<p>Concentration of As (<b>a</b>), Pb (<b>b</b>), and Zn (<b>c</b>) treated with scallop shell and cured for 1 week (extracted with 0.1N HCl).</p>
Full article ">Figure 6
<p>Concentration of As (<b>a</b>), Pb (<b>b</b>), and Zn (<b>c</b>) treated with scallop shell and cured for 4 weeks (extracted with 0.1 N HCl).</p>
Full article ">Figure 7
<p>Concentration of As (<b>a</b>), Pb (<b>b</b>), and Zn (<b>c</b>) treated with starfish and cured for 1 week (extracted with 0.1 N HCl).</p>
Full article ">Figure 8
<p>Concentration of As (<b>a</b>), Pb (<b>b</b>), and Zn (<b>c</b>) treated with starfish and cured for 4 weeks (extracted with 0.1 N HCl).</p>
Full article ">Figure 9
<p>The growth of lettuce cultivated in the control (<b>a</b>), SLS (SLS-20 and CSLS-10) (<b>b</b>), and ASF (ASF-20 and CASF-10) (<b>c</b>) pots at the end of crop experiments (4 weeks).</p>
Full article ">Figure 10
<p>SEM-EDX analyses for the arsenic in the contaminated soil treated with 10 wt.% CSLS-10.</p>
Full article ">Figure 11
<p>SEM-EDX analyses for the heavy metals (Pb and Zn) in the contaminated soil treated with 10 wt.% CSLS-10.</p>
Full article ">Figure 12
<p>SEM-EDX analyses for the arsenic in the contaminated soil treated with 10 wt.% CASF-10.</p>
Full article ">Figure 13
<p>SEM-EDX analyses for the heavy metals (Pb and Zn) in the contaminated soil treated with 10 wt.% CASF-10.</p>
Full article ">
20 pages, 11786 KiB  
Article
Dark-SLAM: A Robust Visual Simultaneous Localization and Mapping Pipeline for an Unmanned Driving Vehicle in a Dark Night Environment
by Jie Chen, Yan Wang, Pengshuai Hou, Xingquan Chen and Yule Shao
Drones 2024, 8(8), 390; https://doi.org/10.3390/drones8080390 - 12 Aug 2024
Viewed by 587
Abstract
Visual Simultaneous Localization and Mapping (VSLAM) is significant in unmanned driving, being is used to locate vehicles and create environmental maps, and provides a basis for navigation and decision making. However, in inevitable dark night environments, the SLAM system still suffers from a [...] Read more.
Visual Simultaneous Localization and Mapping (VSLAM) is significant in unmanned driving, being is used to locate vehicles and create environmental maps, and provides a basis for navigation and decision making. However, in inevitable dark night environments, the SLAM system still suffers from a decline in robustness and accuracy. In this regard, this paper proposes a VSLAM pipeline called DarkSLAM. The pipeline comprises three modules: Camera Attribute Adjustment (CAA), Image Quality Enhancement (IQE), and Pose Estimation (PE). The CAA module carefully studies the strategies used for setting the camera parameters in low-illumination environments, thus improving the quality of the original images. The IQE module performs noise-suppressed image enhancement for the purpose of improving image contrast and texture details. In the PE module, a lightweight feature extraction network is constructed and performs pseudo-supervised training on low-light datasets to achieve efficient and robust data association to obtain the pose. Through experiments on low-light public datasets and real-world experiments in the dark, the necessity of the CAA and IQE modules and the parameter coupling between these modules are verified, and the feasibility of DarkSLAM is finally verified. In particular, the scene in the experiment NEU-4am has no artificial light (the illumination in this scene is between 0.01 and 0.08 lux) and the DarkSLAM achieved an accuracy of 5.2729 m at a distance of 1794.33 m. Full article
Show Figures

Figure 1

Figure 1
<p>The proposed framework for DarkSLAM.</p>
Full article ">Figure 2
<p>The difference in perceived images between night and day when the car is driving in the same place.</p>
Full article ">Figure 3
<p>Principle of camera imaging.</p>
Full article ">Figure 4
<p>The image enhancement effect.</p>
Full article ">Figure 5
<p>Feature extraction network architecture. BN is Batch Normalization. NMS is Non-Maximum Suppression.</p>
Full article ">Figure 6
<p>Feature extraction network training process.</p>
Full article ">Figure 7
<p>Experimental unmanned ground vehicle and real scene datasets. The camera attributes of the examples in the datasets of NEU-9pm, NEU-1, and NEU-2 shown in the figure are exposure time of 100 ms, aperture value of 1.8, and gain of 48 dB. As for the example of the NEU-4am dataset, the camera parameters are exposure time 100 ms, aperture value 1.8, and gain 51 dB.</p>
Full article ">Figure 8
<p>Image brightness statistics in datasets.</p>
Full article ">Figure 9
<p>The camera viewpoint when collecting NEU-1 dataset.</p>
Full article ">Figure 10
<p>Feature matching results of different camera attributes images in the NEU-2 dataset (From top to bottom: original image, enhanced image. The yellow line is the visualization of the matching pair of two images).</p>
Full article ">Figure 11
<p>The noise level of the original image and enhanced image in the NEU-1 dataset (From top to bottom: original image, enhanced image. The red box is a partially enlarged area).</p>
Full article ">Figure 12
<p>Feature matching results under different enhancement parameters.</p>
Full article ">Figure 13
<p>Trajectory comparison.</p>
Full article ">
14 pages, 6532 KiB  
Article
Population Structure of Phytophthora infestans in Israel Changes Frequently Due to the Import of Asymptomatic Late Blight-Infected Potato Seed Tubers from Europe
by Yigal Cohen
J. Fungi 2024, 10(8), 549; https://doi.org/10.3390/jof10080549 - 4 Aug 2024
Viewed by 572
Abstract
Late blight, caused by the oomycete Phytophthora infestans, is a devastating disease of potato worldwide. In Israel, potatoes are grown twice a year, in autumn and spring, with late blight causing extensive damage in both seasons. While tuber seeds for the autumn [...] Read more.
Late blight, caused by the oomycete Phytophthora infestans, is a devastating disease of potato worldwide. In Israel, potatoes are grown twice a year, in autumn and spring, with late blight causing extensive damage in both seasons. While tuber seeds for the autumn planting are produced locally, seed tubers for the spring planting are imported from Europe due to dormancy of local tubers. Here, we demonstrate that seed tubers imported from Europe for the spring season carry asymptomatic infection with EU genotypes of P. infestans, which alters the population structure of the pathogen each spring. The proportion of imported tubers carrying asymptomatic infections ranged between 1.2 and 3.75%, varying by year and cultivar. Asymptomatic tubers produced late blight-infected sprouts about one month after planting. The sporangia produced on these sprouts served as primary inoculum, causing intensive foliage attacks on neighboring plants. When sprout-infected plants were uprooted and the mother tuber was washed, sliced, and placed in moistened dishes at 18 °C, profuse sporulation of P. infestans developed on the slices’ surfaces within 1–2 days. The dominant genotype of P. infestans in the autumn season in Israel is 23A1, but genotypes in the following spring season changed to include 13A2 or 36A2. Surprisingly, genotype 43A1, which might be resistant to CAA and OSBPI fungicides and appeared in Europe in 2022, emerged in Israel in spring 2024. The immigrating genotypes do not persist in the country, allowing 23A1 to regain predominance in the following autumn. Long-term monitoring data suggest that the population structure of P. infestans changes yearly but temporarily due to the import of new genotypes from Europe. Full article
(This article belongs to the Special Issue Plant Fungal Diseases and Crop Protection)
Show Figures

Figure 1

Figure 1
<p>Potato seed tubers (<span class="html-italic">cv</span> Nicola, imported from Holland) carrying asymptomatic infection with <span class="html-italic">Phytophthora infestans</span> developed late blight symptoms upon germination. Tubers were sown on 6 December 2016. Symptoms were seen on 11 January 2017, 36 days after planting. (<b>A</b>) The appearance of 500 plants 5 weeks after sowing. (<b>B</b>) Emerging sprouts showing late blight symptoms. (<b>C</b>) Below-ground stems showing necrotic symptoms of late blight, while mother tuber appears healthy. (<b>D</b>) Sporulation of <span class="html-italic">Phytophthora infestans</span> on tuber slices (arrows) that were taken from the mother tuber shown in (<b>C</b>).</p>
Full article ">Figure 2
<p>Potato seed tubers imported from Europe carrying asymptomatic infection with <span class="html-italic">Phytophthora infestans</span> developed late blight symptoms upon germination. Tubers were sown on 5 January 2017. Symptoms were detected on 15 February 2017, 41 days after sowing. (<b>A</b>) Nicola plants in net house 1. (<b>B</b>) Mondial plants in net house 9. (<b>C</b>) symptoms (arrow) of late blight at ground level. (<b>D</b>) symptoms of late blight on sprout apex (arrows). (<b>E</b>) sporulation of <span class="html-italic">Phytophthora infestans</span> on a tuber slice of cv Nicola. (<b>F</b>) Sporulation of <span class="html-italic">Phytophthora infestans</span> on a tuber slice of cv Mondial.</p>
Full article ">Figure 3
<p>Meteorological conditions prevailing in Spring 2024 at BIU Farm during the epidemics of late blight caused by <span class="html-italic">Phytophthora infestans</span> in eight cultivars of potato whose seeds were imported from Europe. (<b>A</b>) rain (total = 370 mm). (<b>B</b>) air temperature (mean = 14.6 °C; min = 5.8 °C; max = 26.6 °C). (<b>C</b>) % RH (mean = 76.2%; min = 14%; max = 98%).</p>
Full article ">Figure 4
<p>Potato seed tubers (<span class="html-italic">cv</span> Rosana and VR 808) carrying asymptomatic infection with <span class="html-italic">Phytophthora infestans</span> developed late blight symptoms upon germination. Imported tubers were sown on 1 January 2024 and sprout symptoms were observed on 7 February 2024, 36 days after sowing. (<b>A</b>) Net house with germinating potato plants at 36 days after planting. (<b>B</b>–<b>D</b>) Late blight symptoms on a germinating plant cultivar Rosana with no external symptoms on tubers. (<b>E</b>) An infected plant of cv VR 808 at 40 days after planting. Note the two healthy plants alongside. (<b>F</b>,<b>G</b>) Sporulation of <span class="html-italic">P. infestans</span> on surface of tuber slices cut from symptomless tubers of VR-808 and Rosana, respectively.</p>
Full article ">Figure 5
<p>Compatibility to potato and tomato of genotypes 23A1 and 13A2 retrieved from potato. (<b>A</b>) In detached tomato and potato leaves. (<b>B</b>,<b>C</b>) In tomato fruits. (<b>D</b>,<b>E</b>) In tomato leaves. Note heavy sporulation of 23A1 on tomato fruits and leaves as against hypersensitive response to 13A2 with no sporulation.</p>
Full article ">Figure 6
<p>Progress of late blight on foliage of eight cultivars of imported potato cultivars. (<b>A</b>) Disease progresses in each cultivar during a 76-day period after planting. (<b>B</b>) Area under disease progress curves (derived from data in (<b>A</b>)). Different letters on curves or columns indicate a significant difference between cultivars at α = 0.05 (Tukey’s HDS).</p>
Full article ">Figure 7
<p>Annual frequency of genotypes of <span class="html-italic">Phytophthora infestans</span> in potato crops in Israel during the period 2004–2024.</p>
Full article ">
23 pages, 3243 KiB  
Article
StarCAN-PFD: An Efficient and Simplified Multi-Scale Feature Detection Network for Small Objects in Complex Scenarios
by Zongxuan Chai, Tingting Zheng and Feixiang Lu
Electronics 2024, 13(15), 3076; https://doi.org/10.3390/electronics13153076 - 3 Aug 2024
Viewed by 783
Abstract
Small object detection in traffic sign applications often faces challenges like complex backgrounds, blurry samples, and multi-scale variations. Existing solutions tend to complicate the algorithms. In this study, we designed an efficient and simple algorithm network called StarCAN-PFD, based on the single-stage YOLOv8 [...] Read more.
Small object detection in traffic sign applications often faces challenges like complex backgrounds, blurry samples, and multi-scale variations. Existing solutions tend to complicate the algorithms. In this study, we designed an efficient and simple algorithm network called StarCAN-PFD, based on the single-stage YOLOv8 framework, to accurately recognize small objects in complex scenarios. We proposed the StarCAN feature extraction network, which was enhanced with the Context Anchor Attention (CAA). We designed the Pyramid Focus and Diffusion Network (PFDNet) to address multi-scale information loss and developed the Detail-Enhanced Conv Shared Detect (DESDetect) module to improve the recognition of complex samples while keeping the network lightweight. Experiments on the CCTSDB dataset validated the effectiveness of each module. Compared to YOLOv8, our algorithm improved [email protected] by 4%, reduced the model size to less than half, and demonstrated better performance on different traffic sign datasets. It excels at detecting small traffic sign targets in complex scenes, including challenging samples such as blurry, low-light night, occluded, and overexposed conditions, showcasing strong generalization ability. Full article
(This article belongs to the Topic Computer Vision and Image Processing, 2nd Edition)
Show Figures

Figure 1

Figure 1
<p>Structure of the StarNet network.</p>
Full article ">Figure 2
<p>The neck network structures. (<b>a</b>) FPN pyramid structure (<b>b</b>) FPN+PAN pyramid structure.</p>
Full article ">Figure 3
<p>Structure of the StarCAN-PFD network.</p>
Full article ">Figure 4
<p>Structure of the StarCAN network and the StarCAA Blocks.</p>
Full article ">Figure 5
<p>Structure of the ADown model.</p>
Full article ">Figure 6
<p>Structure of the PWConv.</p>
Full article ">Figure 7
<p>Structure of the MSFA Block.</p>
Full article ">Figure 8
<p>Structure of the PFDNet.</p>
Full article ">Figure 9
<p>Reparameterization of the concrete implementation process. (<b>a</b>) Backpropagation process; (<b>b</b>) forward propagation reparameterization.</p>
Full article ">Figure 10
<p>Structure of the DEConv Block here.</p>
Full article ">Figure 11
<p>Structure of the DESDetct.</p>
Full article ">Figure 12
<p>Model P-R curve analysis. (<b>a</b>) Comparison of multiple models’ mAP@0.5 results; (<b>b</b>) comparison of multiple models’ mAP@0.5:0.95 results.</p>
Full article ">Figure 13
<p>Main backbone network FLOPs and parameters. (<b>a</b>,<b>b</b>) show the FLOPs and parameters of the backbone extraction networks for YOLOv5 and YOLOv8, respectively. (<b>c</b>–<b>e</b>) illustrate the FLOPs and parameters of the leading innovative networks. (<b>f</b>) The original Starnet feature extraction network. (<b>g</b>) presents the computational complexity of the StarCAN network proposed in this study, based on Starnet.</p>
Full article ">Figure 14
<p>Structure of the DESDetect. (<b>a</b>–<b>e</b>) show the results under different conditions: foggy, night, blurry, snowy, and sunny days. Groups 1, 2, and 3 represent the visual prediction results of YOLOv8, YOLOv8-Ghost, and our StarCAN-PFD algorithm, respectively.</p>
Full article ">Figure 14 Cont.
<p>Structure of the DESDetect. (<b>a</b>–<b>e</b>) show the results under different conditions: foggy, night, blurry, snowy, and sunny days. Groups 1, 2, and 3 represent the visual prediction results of YOLOv8, YOLOv8-Ghost, and our StarCAN-PFD algorithm, respectively.</p>
Full article ">
20 pages, 8205 KiB  
Article
Synergistic and Antagonistic Activity of Selected Dietary Phytochemicals against Oxidative Stress-Induced Injury in Cardiac H9c2 Cells via the Nrf2 Signaling Pathway
by Jingwen Yu, Xiangwei Xiao, Baiying Chen, Zeyuan Deng, Xuan Chen, Yawei Fan and Hongyan Li
Foods 2024, 13(15), 2440; https://doi.org/10.3390/foods13152440 - 2 Aug 2024
Viewed by 704
Abstract
The antioxidant activities of lycopene (LY), lutein (LU), chlorogenic acid (CA), and delphinidin (DP) were tested in vitro on H9c2 cell-based models. Some indicators, such as the generation of reactive oxygen (ROS), the quantification of cell antioxidant activity (CAA), and the expressions of [...] Read more.
The antioxidant activities of lycopene (LY), lutein (LU), chlorogenic acid (CA), and delphinidin (DP) were tested in vitro on H9c2 cell-based models. Some indicators, such as the generation of reactive oxygen (ROS), the quantification of cell antioxidant activity (CAA), and the expressions of SOD, GSH-Px, and CAT, were calculated to examine their antioxidant interactions. From our results, the phytochemical mixtures (M1: CA-LU: F3/10, M2: DP-CA: F7/10, M3: DP-LY: F5/10) displayed strong synergistic effects based on the generation of ROS and the quantification of CAA. However, great antagonistic bioactivities were seen in the combinations of LY-LU: F5/10 (M4), CA-LU: F9/10 (M5), and DP-LY: F7/10 (M6). Western blotting analysis indicated that the possible mechanism underlying the synergistic antioxidant interactions among phytochemical combinations was to enhance the accumulation of Nrf2 in the nucleus and the expression of its downstream antioxidant enzymes, HO-1 and GCLC. The combinations (M1–M3 groups) showed significant protection against the loss of mitochondrial membrane potential than individual groups to avoid excessive ROS production. The M4–M6 groups exerted antagonistic protective effects compared with the individual groups. In addition, lutein and lycopene absorption was improved more because of the presence of chlorogenic acid and delphinidin in the M1 and M3 groups, respectively. However, delphinidin significantly reduced the cellular uptake of lycopene in the M6 group. It appeared that antioxidant interactions of phytochemical combinations may contribute to the restoration of cellular redox homeostasis and lead to an improvement in diet quality and collocation. Full article
(This article belongs to the Special Issue Bioactive Compounds in Food: From Molecule to Biological Function)
Show Figures

Figure 1

Figure 1
<p>Effects of the pretreatments with individual phytochemicals and combinations on guidance control launch console (GCLC) and Heme oxygenase 1(HO-1) protein expression in H9c2 cells. (<b>A</b>) The cells were treated with delphinidin, chlorogenic acid, lycopene, lutein, or (<b>B</b>) their combinations. The figure shows the immunoblot and densitometric analysis of one experiment representing GCLC and HO-1 expression in H9c2 cells. β-actin was used as the internal control in the cytosolic protein. DP—delphinidin, CA—chlorogenic acid, LY—lycopene, LU—lutein, M1: CA-LU F3/10, M2: DP-CA F7/10, M3: DP-LY F5/10, M4: LY-LU F5/10, M5: CA-LU F9/10, and M6: DP-LY F7/10. Where CA-LU F1/10 refers to the quantity of chlorogenic acid (1/10) to lutein (9/10) in the binary mixtures. Values with different letters (a–f) indicate that the GCLC and HO-1protein expressions in each group were significantly different (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 2
<p>The effects of the pretreatments with individual phytochemicals and combinations of phytochemicals on cyto-Nrf2 and nucleus-Nrf2 protein expression in H9c2 cells. (<b>A</b>) The cells were treated with delphinidin, chlorogenic acid, lycopene, lutein, or (<b>B</b>) their combinations. The protein expression of cyto-Nrf2 (<b>C</b>), nucleus-Nrf2 (<b>D</b>), and their ratios (<b>E</b>) were analyzed by Western blot. β-actin and His-3 were used as the internal control in the cytosolic and nuclear proteins, respectively. DP—delphinidin, CA—chlorogenic acid, LY—lycopene, LU—lutein, M1: CA-LU F3/10, M2: DP-CA F7/10, M3: DP-LY F5/10, M4: LY-LU F5/10, M5: CA-LU F9/10, M6: DP-LY F7/10. Where CA-LU F1/10 refers to the quantity of chlorogenic acid (1/10) to lutein (9/10) in the binary mixtures. Values with different letters (a–e) indicate that the cyto-Nrf2 or/and nucleus-Nrf2 protein expression in each group was significantly different (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 3
<p>Immunofluorescence staining in H9c2 cells pretreated with individual and phytochemical combinations. (<b>A</b>) The cells were treated with delphinidin, chlorogenic acid, lycopene, lutein, or (<b>B</b>) their combinations. The immunofluorescence assay evidenced that H<sub>2</sub>O<sub>2</sub> promoted the nuclear translocation of nuclear factor erythroid 2-related factor 2 (Nrf2) in H9c2 cells. Nrf2 protein was visualized with Nrf2 antibody and FITC-labeled antibody, and the nuclear morphology was visualized with DAPI dye. DP—delphinidin, CA—chlorogenic acid, LU—lutein, LY—lycopene, M1: CA-LU F3/10, M2: DP-CA F7/10, M3: DP-LY F5/10, M4: LY-LU F5/10, M5: CA-LU F9/10, M6: DP-LY F7/10. Where CA-LU F1/10 refers to the quantity of chlorogenic acid (1/10) to lutein (9/10) in the binary mixtures.</p>
Full article ">Figure 4
<p>Effects of the pretreatments with all-trans retinoic acid (ATRA) and no ATRA in the M1, M2, M3, M4, M5, and M6 groups on Nrf2, guidance control launch console (GCLC), and Heme oxygenase 1 (HO-1) protein expression in H9c2 cells. (<b>A</b>) Cells treated with phytochemical combinations (M1, M2, and M3). (<b>B</b>) Cells treated with phytochemical combinations (M4, M5, and M6). All-trans retinoic acid (ATRA) was used to inhibit the Nrf2 pathway and observe the expression of Nrf2, HO-1, and GCLC. β-actin was used as the internal control for the Western blot assay. DP—delphinidin, CA—chlorogenic acid, LY—lycopene, LU—lutein, M1: CA-LU F3/10, M2: DP-CA F7/10, M3: DP-LY F5/10, M4: LY-LU F5/10, M5: CA-LU F9/10, M6: DP-LY F7/10. Where CA-LU F1/10 refers to the quantity of chlorogenic acid (1/10) to lutein (9/10) in the binary mixtures. * <span class="html-italic">p</span> &lt; 0.05 indicated that the protein expression of the ATRA group was significantly different compared with the no-ATRA group.</p>
Full article ">Figure 5
<p>Effects of phytochemicals and their combinations on H<sub>2</sub>O<sub>2</sub>-induced dissipation of mitochondrial membrane potential (ΔΨm). (<b>A</b>) Morphology of H9c2 cells with or without pretreatment with phytochemicals. (<b>B</b>) The fluorescence intensity red-to-green ratio indicated a change in ΔΨm. JC-1 dye was added to determine the dissipation of ΔΨm. JC-1 identifies mitochondria exhibiting low membrane potentials by the emission of green fluorescence but also at high membrane potentials emitting a bright red-orange fluorescence. DP—delphinidin, CA—chlorogenic acid, LY—lycopene, LU—lutein, M1: CA-LU F3/10, M2: DP-CA F7/10, M3: DP-LY F5/10, M4: LY-LU F5/10, M5: CA-LU F9/10, M6: DP-LY F7/10. Where CA-LU F1/10 refers to the quantity of chlorogenic acid (1/10) to lutein (9/10) in the binary mixtures. Values with different letters (a–e) indicate that the membrane potentials of each group are significantly different (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 6
<p>Proposed mechanisms of antioxidant interactions among phytochemical combinations.</p>
Full article ">
18 pages, 9257 KiB  
Article
Energy Loss and Noise Reduction of Centrifugal Pump Based on Bionic V-Groove Geometry
by Yinchu Wang, Liang Dong, Runze Zhou, Chao Guo and Cui Dai
Water 2024, 16(15), 2183; https://doi.org/10.3390/w16152183 - 1 Aug 2024
Viewed by 606
Abstract
The vortex shedding and shock generated inside the pump used in nuclear power plants during operation lead to energy loss and efficiency reduction, and the noise induced by the flow affects the system’s safety and reliability. The groove-type geometry of shark skin surface [...] Read more.
The vortex shedding and shock generated inside the pump used in nuclear power plants during operation lead to energy loss and efficiency reduction, and the noise induced by the flow affects the system’s safety and reliability. The groove-type geometry of shark skin surface has features such as low hydraulic drag coefficient and low turbulence noise and has been widely applied in energy engineering. This study adopted computational fluid dynamics (CFD) and computational aerodynamic acoustics (CAA) methods to research the effects of Space-V-groove and V-groove bionic impellers on hydraulic performance and acoustic characteristics. In addition, the impacts of both bionic groove geometries on the external characteristics, wall shear stress, blade surface velocity, and vortex core distribution were compared and analyzed. The results found that Space-V-groove can effectively improve hydraulic performance. At the rated flow rate, the drag reduction rates of Space-V-groove and V-groove pumps are 2.86% and 1.82%, while the total sound pressure level is reduced by 1.36% and 1.2%, respectively. The Space-V-groove geometry is more effective in destroying the shedding vortex and trailing vortex, thereby modifying the turbulence in the impeller flow path and reducing energy loss and noise. Full article
Show Figures

Figure 1

Figure 1
<p>Groove dimensions: (<b>a</b>) V-groove and (<b>b</b>) Space-V-groove.</p>
Full article ">Figure 2
<p>Bionic impeller.</p>
Full article ">Figure 3
<p>Computational domain.</p>
Full article ">Figure 4
<p>Head of the prototype pump with different grid numbers.</p>
Full article ">Figure 5
<p>Bionic pump heads with differing grid numbers.</p>
Full article ">Figure 6
<p>Grid of bionic impeller.</p>
Full article ">Figure 7
<p>Acoustic grid.</p>
Full article ">Figure 8
<p>Simulation and test results of external characteristics.</p>
Full article ">Figure 9
<p>Simulation and test results of internal field noise.</p>
Full article ">Figure 10
<p>Head and efficiency of different centrifugal pumps at various conditions.</p>
Full article ">Figure 11
<p>Shear stress distribution of different blades at various conditions.</p>
Full article ">Figure 12
<p>Average shear stress of different blades at various conditions.</p>
Full article ">Figure 13
<p>Velocity variations of different blades along the flow direction.</p>
Full article ">Figure 14
<p>Vortex core distribution: (<b>a</b>) smooth blades, (<b>b</b>) Space-V-groove blades, and (<b>c</b>) V-groove blades.</p>
Full article ">Figure 15
<p>Acoustic power distribution of different centrifugal pumps.</p>
Full article ">Figure 16
<p>Frequency response of outlet sound pressure level: (<b>a</b>) 0.6 <span class="html-italic">Q</span><sub>d</sub>, (<b>b</b>) 0.8 <span class="html-italic">Q</span><sub>d</sub>, (<b>c</b>) 1.0 <span class="html-italic">Q</span><sub>d</sub>, and (<b>d</b>) 1.2 <span class="html-italic">Q</span><sub>d</sub>.</p>
Full article ">Figure 17
<p>Total sound pressure level and noise reduction rate.</p>
Full article ">Figure 18
<p>Sound pressure level and noise reduction rate at characteristic frequency: (<b>a</b>) 0.6 <span class="html-italic">Q</span><sub>d</sub>, (<b>b</b>) 0.8 <span class="html-italic">Q</span><sub>d</sub>, (<b>c</b>) 1.0 <span class="html-italic">Q</span><sub>d</sub>, and (<b>d</b>) 1.2 <span class="html-italic">Q</span><sub>d</sub>.</p>
Full article ">
32 pages, 2205 KiB  
Review
The Role of Adipocytes Recruited as Part of Tumor Microenvironment in Promoting Colorectal Cancer Metastases
by Yunxia Ma, Miljana Nenkov, Yuan Chen and Nikolaus Gaßler
Int. J. Mol. Sci. 2024, 25(15), 8352; https://doi.org/10.3390/ijms25158352 - 30 Jul 2024
Viewed by 1043
Abstract
Adipose tissue dysfunction, which is associated with an increased risk of colorectal cancer (CRC), is a significant factor in the pathophysiology of obesity. Obesity-related inflammation and extracellular matrix (ECM) remodeling promote colorectal cancer metastasis (CRCM) by shaping the tumor microenvironment (TME). When CRC [...] Read more.
Adipose tissue dysfunction, which is associated with an increased risk of colorectal cancer (CRC), is a significant factor in the pathophysiology of obesity. Obesity-related inflammation and extracellular matrix (ECM) remodeling promote colorectal cancer metastasis (CRCM) by shaping the tumor microenvironment (TME). When CRC occurs, the metabolic symbiosis of tumor cells recruits adjacent adipocytes into the TME to supply energy. Meanwhile, abundant immune cells, from adipose tissue and blood, are recruited into the TME, which is stimulated by pro-inflammatory factors and triggers a chronic local pro-inflammatory TME. Dysregulated ECM proteins and cell surface adhesion molecules enhance ECM remodeling and further increase contractibility between tumor and stromal cells, which promotes epithelial-mesenchymal transition (EMT). EMT increases tumor migration and invasion into surrounding tissues or vessels and accelerates CRCM. Colorectal symbiotic microbiota also plays an important role in the promotion of CRCM. In this review, we provide adipose tissue and its contributions to CRC, with a special emphasis on the role of adipocytes, macrophages, neutrophils, T cells, ECM, and symbiotic gut microbiota in the progression of CRC and their contributions to the CRC microenvironment. We highlight the interactions between adipocytes and tumor cells, and potential therapeutic approaches to target these interactions. Full article
(This article belongs to the Special Issue Adipose Tissue in Human Health and Disease 2.0)
Show Figures

Figure 1

Figure 1
<p>UPC1-dependent and -independent thermogenesis in WAT browning. WAT browning is stimulated by cold exposure, β-adrenergic receptor agonists, exercise, dietary chemicals (bile acid, sesamol, curcumin, and fish oil), and endocrine signals including irisin, bone morphogenetic protein 7 (BMP7), fibroblast growth factor 21 (FGF21) and prostaglandins [<a href="#B28-ijms-25-08352" class="html-bibr">28</a>,<a href="#B29-ijms-25-08352" class="html-bibr">29</a>]. WAT browning is characterized by increased mitochondrial numbers and upregulation of thermogenesis-related genes, especially mitochondrial uncoupling protein 1 (UCP1), which is the mechanistic component of heat production in classical BAT [<a href="#B30-ijms-25-08352" class="html-bibr">30</a>]. UCP1 expression is transcriptionally upregulated by peroxisome proliferation-activated receptor (PPAR)-coactivator-1α (PGC-1α), which is activated by cAMP-dependent protein kinase A (cAMP-PKA) and p38 mitogen-activated protein kinase (MAPK) [<a href="#B31-ijms-25-08352" class="html-bibr">31</a>]. In addition, activated α1/β3-adrenergic receptor signal stimulation can stimulate UCP1-independent thermogenesis via enhanced Ca<sup>2+</sup> cycling, which is regulated by cAMP-dependent activation of sarco/endoplasmic reticulum Ca<sup>2+</sup>-ATPase2b (SERCA2b) and Ca<sup>2+</sup> release channel ryanodine receptor 2 [<a href="#B32-ijms-25-08352" class="html-bibr">32</a>]. Increased Ca<sup>2+</sup> concentration in mitochondria activates pyruvate dehydrogenase phosphatase (PDH) and ATP production [<a href="#B33-ijms-25-08352" class="html-bibr">33</a>]. An UCP1-independent mechanism in b-Ad can largely utilize glucose and improve glucose tolerance. Moreover, the trans-differentiation from beige to white adipocytes can be reversed via mitophagy [<a href="#B34-ijms-25-08352" class="html-bibr">34</a>,<a href="#B35-ijms-25-08352" class="html-bibr">35</a>].</p>
Full article ">Figure 2
<p>TAG lipolysis in adipocytes and FAs transportation in adipocyte and cancer cells. Activated ATGL, HSL, and MAGL are subsequently recruited into the LD to catalyze the conversion of TAG, DAG, and MAG into FAs and glycerol. Co-activators containing PLIN, CGI-58, and G0S2 are involved in channeling the lipolysis-related enzymes into the membrane of the LD. Activated PKA increases the activity of PLIN1, which leads to the dissociation of CGI-58 from PLIN1, and it further binds with activated ATGL and HSL for lipolysis. Phosphorylated AMPK upregulates ATGL and HSL. YAP/TAZ transcriptionally upregulates MAGL expression. Regarding the FA transportation, CD36-caveolin complex, and FABPc traffic the intracellular FAs to membrane, and further FFAs are exported by CD36, FABPpm, and FATPs. AQP7 facilitates glycerol flux across the membrane. TAG: triacylglyceride; DAG: diacylglycerol; MAG: monoacylglycerol; FAs: fatty acids; ATGL: adipose triglyceride lipase; HSL: hormonsensitive lipase; MAGL: monoacylglycerol lipase; PLIN1: perilipin 1; CGI-58: comparative gene identification-58 (CGI-58); G0S2: G0/G1 switch gene 2; PKA: protein kinase A; AMP-activated protein kinase: AMPK; YAP/TAZ: Yes-associated protein/transcriptional coactivator with a PDZ-binding domain; LD: lipid droplet; CD36: fatty acid translocase; FABP: fatty acid binding proteins; FABPc: cytosolic FABP; FABPpm: peripheral membrane FABP; FATP: fatty acid transport protein; AQP7: Aquaporin-7; ACSLs: long-chain acyl-CoA synthetases.</p>
Full article ">Figure 3
<p>Glycogenolysis in adipocytes and glucose/lactate transport into tumor cells. Cancer cells are prior to utilize glucose from environment for glycolytic metabolism and lactate production, the so-called “The Warburg effect”. In obese, increased leptin inhibits GLUT-1 expression. Adipocytes use glycogen to produce more lactate. Lactate releases from adipocytes and is taken up into cancer cells via MCT1. Lactate converts into pyruvate, which further converts into acetyl-CoA for lipogenesis and oxidation. GLUT1: glucose transporter 1; MCT: monocarboxylate transporter; UPC1: uncoupling protein 1; MPC: mitochondrial pyruvate carrier; TCA cycle: tricarboxylic acid cycle; ↑: Increased.</p>
Full article ">
12 pages, 1168 KiB  
Article
Late-Life Blood Pressure and Cerebral Amyloid Angiopathy: Findings from the U.S. National Alzheimer’s Coordinating Center Uniform Dataset
by Mo-Kyung Sin, N. Maritza Dowling, Jeffrey M. Roseman, Ali Ahmed and Edward Zamrini
Neurol. Int. 2024, 16(4), 821-832; https://doi.org/10.3390/neurolint16040061 - 29 Jul 2024
Viewed by 487
Abstract
High blood pressure (BP) and cerebral amyloid angiopathy (CAA) are two common risk factors for intracranial hemorrhage, potentially leading to cognitive impairment. Less is known about the relationship between BP and CAA, the examination of which was the objective of this study. We [...] Read more.
High blood pressure (BP) and cerebral amyloid angiopathy (CAA) are two common risk factors for intracranial hemorrhage, potentially leading to cognitive impairment. Less is known about the relationship between BP and CAA, the examination of which was the objective of this study. We analyzed data from 2510 participants in the National Alzheimer’s Coordinating Center (NACC) who had information on longitudinal BP measurements before death and on CAA from autopsy. Using the average of four systolic BPs (SBPs) prior to death, SBP was categorized into three groups: <120 mmHg (n = 435), 120–139 mmHg (n = 1335), and ≥140 mmHg (n = 740). CAA was diagnosed using immunohistochemistry in 1580 participants and categorized as mild (n = 759), moderate (n = 529), or severe (n = 292). When adjusted for age at death, sex, APOE genotype, Braak, CERAD, antihypertensive medication use, and microinfarcts, the odds ratios (95% CIs) for CAA associated with SBPs of 120–139 and ≥140 mmHg were 0.91 (0.74–1.12) and 1.00 (0.80–1.26), respectively. Findings from predictor effect plots show no variation in the probability of CAA between the three SBP categories. Microbleeds had no association with CAA, but among those with SBP ≥ 130 mmHg, the proportion of those with microbleeds was numerically greater in those with more severe CAA (p for trend, 0.084). In conclusion, we found no evidence of an association between SBP and CAA. Future studies need to develop non-invasive laboratory tests to diagnose CAA and prospectively examine this association and its implication on the pathophysiology and outcome of Alzheimer’s disease. Full article
(This article belongs to the Collection Advances in Neurodegenerative Diseases)
Show Figures

Figure 1

Figure 1
<p>Flowchart of participant inclusion.</p>
Full article ">Figure 2
<p>Predictor effect plots with the vertical axis showing a probability scale for the CAA severity stages. The vertical axis “stacks” the probabilities in the four CAA response categories. For example, participants with “no neuritic plaques” (“none” category) for CERAD had nearly 60% probability of having no CAA and about 25% probability of having mild CAA. However, “frequent” neuritic plaques in CERAD scores had approximately 80% probability of having mild to severe CAA with incrementally higher probability with higher CERAD scors. A similar pattern was observed in the Braak predictor effect graph. No differences in CAA severity were apparent for the late-life mean systolic blood pressure predictor effect plot categories or the PP predictor effect plot.</p>
Full article ">
11 pages, 864 KiB  
Article
The New Face of Dynamic Mutation—The CAA [CAG]n CAA CAG Motif as a Mutable Unit in the TBP Gene Causative for Spino-Cerebellar Ataxia Type 17
by Dorota Hoffman-Zacharska and Anna Sulek
Int. J. Mol. Sci. 2024, 25(15), 8190; https://doi.org/10.3390/ijms25158190 - 26 Jul 2024
Viewed by 545
Abstract
Since 1991, several genetic disorders caused by unstable trinucleotide repeats (TNRs) have been identified, collectively referred to as triplet repeat diseases (TREDs). They share a common mutation mechanism: the expansion of repeats (dynamic mutations) due to the propensity of repeated sequences to form [...] Read more.
Since 1991, several genetic disorders caused by unstable trinucleotide repeats (TNRs) have been identified, collectively referred to as triplet repeat diseases (TREDs). They share a common mutation mechanism: the expansion of repeats (dynamic mutations) due to the propensity of repeated sequences to form unusual DNA structures during replication. TREDs are characterized as neurodegenerative diseases or complex syndromes with significant neurological components. Spinocerebellar ataxia type 17 (SCA17) falls into the former category and is caused by the expansion of mixed CAA/CAG repeats in the TBP gene. To date, a five-unit organization of this region [(CAG)3 (CAA)3] [(CAG)n] [CAA CAG CAA] [(CAG)n] [CAA CAG], with expansion in the second [(CAG)n] unit being the most common, has been proposed. In this study, we propose an alternative organization scheme for the repeats. A search of the PubMed database was conducted to identify articles reporting both the number and composition of GAC/CAA repeats in TBP alleles. Nineteen reports were selected. The sequences of all identified CAG/CAA repeats in the TBP locus, including 67 cases (probands and b relatives), were analyzed in terms of their repetition structure and stability in inheritance, if possible. Based on the analysis of three units [(CAG)3 (CAA)2] [CAA (CAG)n CAA CAG] [CAA (CAG)n CAA CAG], the organization of repeats is proposed. Detailed analysis of the CAG/CAA repeat structure, not just the number of repeats, in TBP-expanded alleles should be performed, as it may have a prognostic value in the prediction of stability/instability during transmission and the possible anticipation of the disease. Full article
(This article belongs to the Section Molecular Neurobiology)
Show Figures

Figure 1

Figure 1
<p>Pedigree and sequence of the CAG&gt;GAA repeat region in the <span class="html-italic">TBP</span> gene of a family with two patients with the same number of repeats in the pathogenic allele <span class="html-italic">n</span> = 55 and the same repeat configuration. The sequence is given below the chromatogram, where the domain division is also marked according to the scheme we propose. (Created with BioRender.com; accessed on 15 July 2024).</p>
Full article ">
Back to TopTop