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Search Results (458)

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Keywords = HHV-6A

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12 pages, 926 KiB  
Article
Human Herpesvirus 6—A Rare Aetiologic Agent for CNS Infections in Immunocompetent Individuals or an Underestimation?
by Oana Alexandra Ganea, Cătălin Tilișcan, Anca Streinu-Cercel, Daniela Pițigoi, Anca Cristina Drăgănescu, Mihai Lazar, Nicoleta Mihai, Dragoș Florea, Sorin Ștefan Aramă and Victoria Aramă
J. Clin. Med. 2024, 13(16), 4660; https://doi.org/10.3390/jcm13164660 - 8 Aug 2024
Viewed by 371
Abstract
Background: Human herpesvirus 6 (HHV-6) is considered a ubiquitous virus, with many countries reporting a seroprevalence of more than 80–90% among the general population. However, this virus is unique among herpesviruses in its ability to integrate into the genetic material of the [...] Read more.
Background: Human herpesvirus 6 (HHV-6) is considered a ubiquitous virus, with many countries reporting a seroprevalence of more than 80–90% among the general population. However, this virus is unique among herpesviruses in its ability to integrate into the genetic material of the host’s cells. Thus, there are three ways by which HHV-6 can cause an active infection–primary infection, reactivation of a latent acquired infection, or activation of iciHHV-6 (inherited chromosomally integrated HHV-6). Whole blood quantitative polymerase chain reaction (qPCR) is very useful in distinguishing between iciHHV-6 and primary infection/reactivation. Our aim is to assess the role of HHV-6 in the aetiology of central nervous system (CNS) infections in adults and children, to describe all HHV-6-positive cases in an attempt to determine the susceptible population and to identify potential risk factors that can be linked to HHV-6 meningoencephalitis. Methods: We performed a retrospective study involving patients that were admitted to Prof. Dr. Matei Bals National Institute of Infectious Diseases, Bucharest, Romania, with a diagnosis of meningitis or encephalitis. We only selected the clinical records of patients that had a multiplex PCR Biofire® FilmArray® meningitis/encephalitis panel. Results: We report a 5% HHV-6 positivity in the cerebrospinal fluid (CSF) of patients with CNS infections tested with a commercial multiplex PCR M/E (meningitis/encephalitis) panel. Additionally, 2% to 4% of the total study population (n = 100) had active HHV-6 infections, which denotes 40 to 80% of the HHV-6-positive samples. We did not observe any statistically significant correlation between HHV-6 positivity in the CSF and variables such as age, sex, or comorbidities, including obesity, diabetes, hypertension, immunosuppression, or oncologic disease. Therefore, no risk factors could be linked with HHV-6 positivity in the CSF. Conclusions: although multiplex qualitative PCR is highly useful for providing rapid results and identifying nearly every pathogen that can cause meningitis/encephalitis, we have to be aware of this type of test’s limitations. All patients with HHV-6 detectable in their CSF via a multiplex PCR test should also undergo qPCR testing from both CSF and blood to prevent over-diagnosing HHV-6 CNS infections, to avoid unnecessary antiviral treatments, and ensure the accurate identification of the true diagnosis. Full article
(This article belongs to the Section Infectious Diseases)
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<p>Study population description. * M/E = meningitis/encephalitis/meningoencephalitis.</p>
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<p>Aetiologic agents identified in our cohort.</p>
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16 pages, 747 KiB  
Article
Analysis of the Energy Potential of Hazelnut Husk Depending on the Variety
by Anna Borkowska, Kamila Klimek, Grzegorz Maj and Magdalena Kapłan
Energies 2024, 17(16), 3933; https://doi.org/10.3390/en17163933 - 8 Aug 2024
Viewed by 355
Abstract
Interest in bioenergy, in particular the use of biomass, has increased significantly in recent years due to increasing climate and economic concerns. As one of the key renewable energy sources, biomass plays an important role in the new energy framework. The aim of [...] Read more.
Interest in bioenergy, in particular the use of biomass, has increased significantly in recent years due to increasing climate and economic concerns. As one of the key renewable energy sources, biomass plays an important role in the new energy framework. The aim of this research was to estimate the mass of woody husks and to check the influence of morphological features of selected hazelnut varieties on the energy parameters of waste biomass in the form of husk. Technical and elemental analyses were carried out on the husks of four varieties: ‘Kataloński’, ‘Olbrzymi z Halle’, ‘Olga’, and ‘Webba Cenny’, taking into account their weight, moisture content, heat of combustion (HHV and LHV), and pollutant emission factors (CO, CO2, NOx, SO2, Dust). Research has shown significant differences between the varieties in terms of their energy potential and pollutant emissions. The varieties ‘Olbrzymi z Halle’ and ‘Olga’ were found to have higher calorific values, making them more energy efficient. On the other hand, the varieties ‘Kataloński’ and ‘Webba Cenny’ showed lower dust and NOx emissions, which is beneficial from an environmental point of view. The analysis of the chemical and morphological composition of hazelnut husks allowed for the identification of relationships between morphological features and energy value and emission indicators. The conclusions from the conducted research suggest that hazelnut husks have significant potential as an energy raw material. The selection of an appropriate variety for energy crops should take into account both the calorific value and emission indicators, which will allow for the optimization of production processes and the promotion of sustainable development. Full article
(This article belongs to the Section B: Energy and Environment)
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<p>The percentage of husk weight to total nut weight (100 pcs.) depending on the hazelnut variety.</p>
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<p>Analysis of comparative hazelnut varieties tested for the size of husk waste biomass obtained.</p>
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<p>Analysis of comparative woody shells of selected hazelnut varieties tested for energy production (HHV).</p>
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16 pages, 930 KiB  
Article
Analysis of the Energy–Carbon Potential of the Pericarp Cover of Selected Hazelnut Varieties
by Anna Borkowska, Kamila E. Klimek, Grzegorz Maj and Magdalena Kapłan
Energies 2024, 17(16), 3899; https://doi.org/10.3390/en17163899 - 7 Aug 2024
Viewed by 268
Abstract
The research presents weight estimation and analysis of the energy and carbon potential of the pericarp cover of four hazelnut varieties. A technical and elementary biofuel analysis was carried out for the biomass studied, as well as a correlation and principal component analysis [...] Read more.
The research presents weight estimation and analysis of the energy and carbon potential of the pericarp cover of four hazelnut varieties. A technical and elementary biofuel analysis was carried out for the biomass studied, as well as a correlation and principal component analysis to demonstrate the influence of individual characteristics on the parameters achieved. In addition, emission factors and the composition and volume of flue gases from the combustion of the material studied were estimated based on stoichiometric equations. The research showed that the highest calorific value (LHV) was characterised by the pericarp cover of the ‘Olga’ variety (14.86 MJ·kg−1) and the lowest by the ‘Kataloński’ variety (14.60 MJ·kg−1). In the case of exhaust volume, the highest volume was obtained from the ‘Olbrzymi z Halle’ variety (250.06 Nm3·kg−1) and the lowest from the ‘Kataloński’ variety (12.43 Nm3·kg−1). The correlation analysis carried out showed that the HHV and LHV parameters in the covers showed a very strong positive correlation with sulphur content and SO2 emissions, and a moderate correlation with nitrogen content and its associated NOx emissions, indicating their direct influence on the higher calorific value of biomass. Full article
(This article belongs to the Section A: Sustainable Energy)
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<p>Flow chart of the test rig.</p>
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<p>Comparative analysis of the pericarp cover of selected hazelnut cultivars in terms of the amount of waste biomass generated.</p>
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<p>Comparative analysis of seed coats of selected hazelnut cultivars tested for energy production (HHV).</p>
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20 pages, 1631 KiB  
Review
The Impact of Environmental Factors on the Development of Autoimmune Thyroiditis—Review
by Wojciech Cyna, Aleksandra Wojciechowska, Weronika Szybiak-Skora and Katarzyna Lacka
Biomedicines 2024, 12(8), 1788; https://doi.org/10.3390/biomedicines12081788 - 7 Aug 2024
Viewed by 379
Abstract
Autoimmune thyroiditis (Hashimoto’s thyroiditis) is the most common autoimmune disease. It most often manifests itself as hypothyroidism but may also present with euthyroidism or even hyperthyroidism. The etiopathogenesis of autoimmune thyroiditis is still unclear. However, in addition to genetic and epigenetic factors, many [...] Read more.
Autoimmune thyroiditis (Hashimoto’s thyroiditis) is the most common autoimmune disease. It most often manifests itself as hypothyroidism but may also present with euthyroidism or even hyperthyroidism. The etiopathogenesis of autoimmune thyroiditis is still unclear. However, in addition to genetic and epigenetic factors, many environmental factors are known to increase the risk of developing AIT. In this review, we aimed to collect and analyze data connected with environmental factors and autoimmune thyroiditis development. Our review indicates iodine intake, vitamin D deficiency, selenium deficiency, viral infections caused by Epstein–Barr Virus (EBV), Human parvovirus B19 (PVB19), Human herpesvirus 6A (HHV-6A) and Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), bacterial infection caused by Helicobacter pylori, microbiome disruption, medications such as interferon-alpha and tyrosine kinase inhibitors, as well as stress, climate, and smoking can influence the risk of the occurrence of autoimmune thyroiditis. Having knowledge of risk factors allows for making changes to one’s diet and lifestyle that will reduce the risk of developing the disease and alleviate the course of autoimmune thyroiditis. Full article
(This article belongs to the Special Issue Environmental Exposures and Human Diseases—Molecular Insights)
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<p>Thyroid image from fine needle aspiration (FNA) biopsy; Hürthle cells surrounded by massive lymphocytic infiltration.</p>
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<p>Iodine excess process leading to thyroid autoimmunity caused by inflammatory state. Tg-thyroglobulin, I—iodine excess, IFN-γ—interferon-γ, Th1—T helper cells 1, ICAM1—intercellular adhesion molecule-1, IP-10—(IFNγ)-induced protein 10, CXCR3—CXC chemokine receptor 3.</p>
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<p>Vitamin D—anti-inflammatory effect, VDR—vitamin D receptor, IL—interleukin, TNF-α—tumor necrosis factor α.</p>
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<p>Effect of selenium supplementation on thyroid function and autoimmunity. TSH—thyroid stimulating hormone, Treg—T regulatory lymphocyte, TPOAb—thyroid peroxidase antibodies, TgAb—thyroglobulin antibodies.</p>
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<p>Molecular mimicry—a potential cause of autoimmunity due to the similarity between autoantigens and viral antigens. APC—antigen-presenting cell, MHC II—II class of major histocompatibility complex, TCR—T-cell receptor.</p>
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16 pages, 1224 KiB  
Article
Characteristics of Pyrolysis Products of California Chaparral and Their Potential Effect on Wildland Fires
by Mahsa Alizadeh, David R. Weise and Thomas H. Fletcher
Fire 2024, 7(8), 271; https://doi.org/10.3390/fire7080271 - 5 Aug 2024
Viewed by 397
Abstract
The aim of this study was to investigate the pyrolysis of selected California foliage and estimate the energy content of the released volatiles to show the significance of the pyrolysis of foliage and its role during wildland fires. While the majority of the [...] Read more.
The aim of this study was to investigate the pyrolysis of selected California foliage and estimate the energy content of the released volatiles to show the significance of the pyrolysis of foliage and its role during wildland fires. While the majority of the volatiles released during the pyrolysis of foliage later combust and promote fire propagation, studies on the energy released from combustion of these compounds are scarce. Samples of chamise (Adenostoma fasciculatum), Eastwood’s manzanita (Arctostaphylos glandulosa), scrub oak (Quercus berberidifolia), hoaryleaf ceanothus (Ceanothus crassifolius), all native to southern California, and sparkleberry (Vaccinium arboreum), native to the southern U.S., were pyrolyzed at 725 °C with a heating rate of approximately 180 °C/s to mimic the conditions of wildland fires. Tar and light gases were collected and analyzed. Tar from chamise, scrub oak, ceanothus and sparkleberry was abundant in aromatics, especially phenol, while tar from manzanita was mainly composed of cycloalkenes. The four major components of light gases were CO, CO2, CH4 and H2. Estimated values for the high heating values (HHVs) of volatiles ranged between 18.9 and 23.2 (MJ/kg of biomass) with tar contributing to over 80% of the HHVs of the volatiles. Therefore, fire studies should consider the heat released from volatiles present in both tar and light gases during pyrolysis. Full article
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<p>Schematic of the pyrolysis products’ collection system.</p>
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<p>Comparison of tar compounds derived from various types of biomass.</p>
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<p>Coke formation from methylated phenols (with permission) [<a href="#B49-fire-07-00271" class="html-bibr">49</a>].</p>
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17 pages, 9534 KiB  
Article
Pelletized Straw for Biogas Production—Substrate Characterization and Methane Formation Potential
by Fabian Gievers, Meike Walz, Kirsten Loewe and Achim Loewen
Processes 2024, 12(8), 1549; https://doi.org/10.3390/pr12081549 - 24 Jul 2024
Viewed by 411
Abstract
The use of agricultural residues in biogas plants is becoming increasingly important, as they represent an efficient and sustainable substrate alternative. Pelletizing straw can have positive effects on transportation, handling, and biogas production. In this study, different grain straw pellets from mobile and [...] Read more.
The use of agricultural residues in biogas plants is becoming increasingly important, as they represent an efficient and sustainable substrate alternative. Pelletizing straw can have positive effects on transportation, handling, and biogas production. In this study, different grain straw pellets from mobile and stationary pelleting plants in Germany as well as the corresponding untreated straw were characterized and investigated for their suitability for anaerobic digestion (AD). Therefore, tests on the biochemical methane potential (BMP) and the chemical–physical characterization of unpelletized straw and straw pellets were carried out. The characterization of the pellets and the straw revealed a high average total solid content of 91.8% for the industrially produced straw pellets and of 90.8% for the straw. The particle size distribution within the tested pellet samples varied greatly depending on the pelleting process and the pre-treatment of the straw. In addition, a high C/N ratio of 91:1 on average was determined for the straw pellets, whereas the average higher heating value (HHV) content of the pellets was 17.58 MJ kg−1. In the BMP tests, the methane production yields ranged from 260–319 normal liter (NL) CH4 kg−1 volatile solids (VS) for the straw pellets and between 262 and 289 NL CH4 kg−1 VS for the unpelletized straw. Overall, pelleting increases the methane yield on average from 274 to 286 NL CH4 kg−1 VS, which corresponds to an increase in methane yield of 4.3%. Based on the results, the feasibility of using straw pellets for AD could be confirmed, which can facilitate the possibility of increased biogas production from agricultural residues such as straw pellets and thus make the substrate supply more sustainable. Full article
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Graphical abstract

Graphical abstract
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<p>Industrial-scale stationary pelleting (<b>a</b>) and pelleting at field (<b>b</b>) with a mobile pelleting plant (Photos courtesy of Sören Mohrmann).</p>
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<p>Workflow for grinding and pelleting straw in the pilot-scale trials for Ppp1 and Ppp2.</p>
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<p>Results of the proximate analysis of the straw and the corresponding straw pellets.</p>
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<p>Particle size distribution of the straw pellets investigated.</p>
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<p>Examples of the dissolution tests of the pellets in water with (<b>a</b>) P9 forming floating and sediment layers directly after start, (<b>b</b>) P5 forming floating and sedimentation layer after 180 min. and (<b>c</b>) P4 showing a homogeneous distribution during the entire investigation.</p>
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<p>Methane formation graphs obtained in the BMP tests for: (<b>a</b>) the pellets P4, P5, P11, and their respective straw; (<b>b</b>) the pellets P7, P9, and P10 and their respective straw; (<b>c</b>) the pellets P1, P2, P3, P6, and P8; and (<b>d</b>) the pilot-scale pellets Ppp1 and Ppp2 and the straw Spp.</p>
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<p>Appearance of the investigated straw pellets P1–P11.</p>
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<p>Appearance of the investigated straw pellets Ppp1–Ppp2.</p>
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<p>Appearance of the investigated straw S4, S5, S7, S9, S10, S11, and Spp.</p>
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15 pages, 1422 KiB  
Article
Reduced Dose of Post-Transplant Cyclophosphamide with Tacrolimus for the Prevention of Graft-versus-Host Disease in HLA-Matched Donor Peripheral Blood Stem Cell Transplants: A Prospective Pilot Study
by Alex Juárez, María Queralt Salas, Alexandra Pedraza, María Suárez-Lledó, Luís Gerardo Rodríguez-Lobato, María Teresa Solano, Anna Serrahima, Meritxell Nomdedeu, Joan Cid, Miquel Lozano, Paola Charry, Jordi Arcarons, Noemí Llobet, Laura Rosiñol, Francesc Fernández-Avilés, Montserrat Rovira and Carmen Martínez
Cancers 2024, 16(14), 2567; https://doi.org/10.3390/cancers16142567 - 17 Jul 2024
Viewed by 588
Abstract
PTCY 50 mg/kg/day on days +3/+4 is an excellent strategy to prevent GVHD. However, its use is associated with adverse outcomes such as delayed engraftment, increased risk of infection, and cardiac complications. This pilot study evaluates the efficacy and toxicity of a reduced [...] Read more.
PTCY 50 mg/kg/day on days +3/+4 is an excellent strategy to prevent GVHD. However, its use is associated with adverse outcomes such as delayed engraftment, increased risk of infection, and cardiac complications. This pilot study evaluates the efficacy and toxicity of a reduced dose of PTCY (40 mg/kg/day) combined with tacrolimus in 22 peripheral blood HLA-matched alloHSCT patients. At day +100, the cumulative incidences of grade II–IV and III–IV acute GVHD were 18.2% and 4.5%, respectively. No grade IV acute GVHD or steroid-refractory disease was observed. The cumulative incidences of all-grade and moderate-severe chronic GVHD at 1-year were 11.4% and 6.4%, respectively. No patient died from transplant-related complications. Two-year OS and RFS were 77.1% and 58.3%, respectively. All patients engrafted, with neutrophil and platelet recovery occurring at a median of 15 (IQR 14–16) and 16 days (IQR 12–23), respectively. The cumulative incidences of bloodstream bacterial infections, polyomavirus BK hemorrhagic cystitis, HHV6 reactivation, CMV reactivation, and fungal infections were 13.6%, 9.1%, 9.1%, 4.6%, and 6%, respectively. Only one early cardiac event was observed. These results suggest that PTCY 40 mg/kg/day on a +3/+4 schedule provides adequate immunosuppression to allow for engraftment and prevent clinically significant GVHD with a low toxicity profile. Full article
(This article belongs to the Special Issue Immunotherapy and Transplantation in the Era of Transplant Oncology)
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<p>Cumulative incidence of grade II–IV (<b>A</b>) and III–IV (<b>B</b>) acute GVHD, and moderate-severe chronic GVHD (<b>C</b>) after alloHSCT.</p>
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<p>Cumulative incidence of grade II–IV (<b>A</b>) and III–IV (<b>B</b>) acute GVHD, and moderate-severe chronic GVHD (<b>C</b>) after alloHSCT.</p>
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<p>Estimated probabilities of overall survival (<b>A</b>) and relapse-free survival (<b>B</b>).</p>
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13 pages, 1827 KiB  
Article
The Effect of Residence Time during the Hydrothermal Carbonization Process of Sewage Sludge on the Properties of Hydrochar
by Klaudia Czerwińska, Joanna Mikusińska, Aleksandra Błoniarz, Maciej Śliz and Małgorzata Wilk
Energies 2024, 17(14), 3380; https://doi.org/10.3390/en17143380 - 10 Jul 2024
Viewed by 440
Abstract
The optimal process conditions concerning the hydrothermal carbonization of digested sewage sludge are crucial to the economically effective technology needed to produce a solid product, hydrochar, for energy purposes. Accordingly, different residence times, 0.5 h, 1 h and 2 h, were investigated in [...] Read more.
The optimal process conditions concerning the hydrothermal carbonization of digested sewage sludge are crucial to the economically effective technology needed to produce a solid product, hydrochar, for energy purposes. Accordingly, different residence times, 0.5 h, 1 h and 2 h, were investigated in order to understand the effect of residence time on the process. Furthermore, the physical and chemical properties of hydrochar were investigated and compared to the raw material. For these reasons, analyses describing fuel properties were performed, including ultimate and proximate analyses, HHV, and TGA analysis. The latter method was employed to study the combustion process of solid samples. In addition, the oxide content of different elements within the ash of solid samples was determined using the XRF method to calculate indices related to operational problems during the combustion process. The results confirmed that time did not matter significantly and the physical and chemical properties of hydrochar were very similar to each other. However, the contact angle for 2 h of residence time confirmed that a longer processing time resulted in a more hydrophobic character of hydrochar and enabled more effective dewaterability of hydrothermal slurry. It was also noted that the hydrothermal carbonization process affected the sewage sludge in a positive way. In brief, the results confirmed that the hydrochar was a brittle, moderately hydrophilic, solid carbon-containing product that provided a different combustion performance than the raw sewage sludge. Full article
(This article belongs to the Special Issue Biomass, Biofuels and Waste)
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<p>HTC set-up: 1—MagneDrive; 2—cooling coil; 3—mixer; 4—reactor; 5—heating jacket; 6—control panel.</p>
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<p>Composition of hydrochar and sewage sludge.</p>
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<p>Van Krevelen diagram depicting chemical changes for SS, HTC_0.5, HTC_1, and HTC_2 samples.</p>
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<p>Contact angle determined on the liquid droplet on the surface of (<b>A</b>) raw sewage sludge, and (<b>B</b>) HTC_0.5h, (<b>C</b>) HTC_1h, (<b>D</b>) HTC_2h.</p>
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<p>TG/DTG/DSC curves of (<b>a</b>) SS, (<b>b</b>) HTC_0.5h, (<b>c</b>) HTC_1h, and (<b>d</b>) HTC_2h.</p>
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22 pages, 8551 KiB  
Article
In Vitro Antiviral Activity of Kalanchoe daigremontiana Extract against Human Herpesvirus Type 1
by Marcin Chodkowski, Sylwia Nowak, Martyna Janicka, Marcin Sobczak, Sebastian Granica, Marcin W. Bańbura, Malgorzata Krzyzowska and Joanna Cymerys
Int. J. Mol. Sci. 2024, 25(14), 7507; https://doi.org/10.3390/ijms25147507 (registering DOI) - 9 Jul 2024
Viewed by 592
Abstract
Plant polyphenols possess diverse bioactivities, including antiviral activity against a broad spectrum of viruses. Here, we investigated the virucidal properties of an Kalanchoe daigremontiana extract using an in vitro model of human herpesvirus type 1 (HHV-1) infection. Chromatographic analysis indicated that the extract [...] Read more.
Plant polyphenols possess diverse bioactivities, including antiviral activity against a broad spectrum of viruses. Here, we investigated the virucidal properties of an Kalanchoe daigremontiana extract using an in vitro model of human herpesvirus type 1 (HHV-1) infection. Chromatographic analysis indicated that the extract of Kalanchoe daigremontiana is rich in various compounds, among which are polyphenols with virucidal activity confirmed in the literature. We found that Kalanchoe daigremontiana extract shows an ability to prevent HHV-1 infection by direct inhibition of the virus attachment, penetration, and blocking of infection when used in pretreatment or post-entry treatment. Our results indicate that Kalanchoe daigremontiana extract may be a good candidate drug against HHV-1, both as a substance to prevent infection and to treat an already ongoing infection. Our findings illustrate that Kalanchoe daigremontiana could be a potential new candidate for clinical consideration in the treatment of HHV-1 infection alone or in combination with other therapeutics. Full article
(This article belongs to the Special Issue Antiviral Activities of Plant Extracts)
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<p>Images of <span class="html-italic">Kalanchoe daigremontiana</span> with a list of some compounds with virucidal potential based on chromatographic analysis. Photos by Dr. Sylwia Nowak; models of compounds - gray indicates carbon atoms, red indicates oxygen and white indicates hydrogen atoms; <a href="https://pubchem.ncbi.nlm.nih.gov/" target="_blank">https://pubchem.ncbi.nlm.nih.gov/</a>, accessed on 10 May 2024. Components with potential antiviral activity were selected on the basis of literature data [<a href="#B5-ijms-25-07507" class="html-bibr">5</a>,<a href="#B6-ijms-25-07507" class="html-bibr">6</a>,<a href="#B7-ijms-25-07507" class="html-bibr">7</a>,<a href="#B8-ijms-25-07507" class="html-bibr">8</a>,<a href="#B9-ijms-25-07507" class="html-bibr">9</a>,<a href="#B10-ijms-25-07507" class="html-bibr">10</a>,<a href="#B11-ijms-25-07507" class="html-bibr">11</a>,<a href="#B12-ijms-25-07507" class="html-bibr">12</a>,<a href="#B13-ijms-25-07507" class="html-bibr">13</a>,<a href="#B14-ijms-25-07507" class="html-bibr">14</a>].</p>
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<p>UHPLC-DAD-MS chromatograms of <span class="html-italic">K. daigremontiana</span> extract.</p>
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<p>Cell viability after exposure to <span class="html-italic">K. daigremontiana</span> extract was evaluated using cell proliferation WST-1 assay: (<b>A</b>) Vero 76 cell line; (<b>B</b>) HaCaT cell line. Data from three independent experiments are presented as mean ± SEM. Tukey’s multiple comparison test with * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> ≤ 0.01, and extremely significant **** <span class="html-italic">p</span> ≤ 0.0001.</p>
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<p>The anti-HHV-1 activity of <span class="html-italic">K. diagremontiana</span> extract. Virus titration in Vero 76 cells (<b>A</b>) and HaCat cells (<b>B</b>) (24 h p.i.). Data from three independent experiments are presented as mean ± SEM. Tukey’s multiple comparison test with extremely significant at *** <span class="html-italic">p</span> ≤ 0.001 or **** <span class="html-italic">p</span> ≤ 0.0001.</p>
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<p><span class="html-italic">K. daigremontiana</span> extract blocks HHV-1 entry into the Vero 76 and HaCaT cells. Schematic representation of test procedures (<b>A</b>); inhibition of virus entry in Vero76 (<b>B</b>,<b>C</b>) and HaCaT (<b>D</b>,<b>E</b>) cell cultures with <span class="html-italic">K. daigremontiana</span> extract. At 2 and 4 h p.i., cells were subjected to HHV-1 copies titration by qPCR. Data from three independent experiments are presented as means ± SEM. Tukey’s multiple comparison test * <span class="html-italic">p</span> ≤ 0.05, and extremely significant at *** <span class="html-italic">p</span> ≤ 0.001.</p>
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<p><span class="html-italic">K. diagremontiana</span> extract inhibits HHV-1 attachment in Vero 76 and HaCaT cells. Schematic representation of test procedures (<b>A</b>); inhibition of virus attachment in Vero76 (<b>B</b>) and HaCaT (<b>C</b>) cell cultures with <span class="html-italic">K. daigremontiana</span> extract. At 24 h p.i., cells were subjected to HHV-1 copies titration by qPCR. Data from three independent experiments are presented as means ± SEM. Tukey’s multiple comparison test * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> ≤ 0.01, and extremely significant at *** <span class="html-italic">p</span> ≤ 0.001 or **** <span class="html-italic">p</span> ≤ 0.0001.</p>
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<p><span class="html-italic">K. diagremontiana</span> extract inhibits HHV-1 penetration in Vero 76 and HaCaT cells. Schematic representation of test procedures (<b>A</b>); inhibition of virus penetration in Vero (<b>B</b>) and HaCaT (<b>C</b>) cell cultures with <span class="html-italic">K. daigremontiana</span> extract. At 24 h p.i., cells were subjected to HHV-1 copies titration by qPCR. Data from three independent experiments are presented as mean ± SEM. Tukey’s multiple comparison test * <span class="html-italic">p</span> ≤ 0.05, and extremely significant at *** <span class="html-italic">p</span> ≤ 0.001 or **** <span class="html-italic">p</span> ≤ 0.0001.</p>
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<p>Efficiency of pretreatment with <span class="html-italic">K. daigremontiana</span> extract. Schematic representation of test procedures (<b>A</b>); Vero76 cell line (<b>B</b>) and HaCaT cell line (<b>C</b>). At 24 h p.i., cells were subjected to HHV-1 copies titration by qPCR. Data from three independent experiments are presented as mean ± SEM. Tukey’s multiple comparison test * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> ≤ 0.01, and extremely significant at *** <span class="html-italic">p</span> ≤ 0.001 or **** <span class="html-italic">p</span> ≤ 0.0001.</p>
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<p>Efficiency of pretreatment with <span class="html-italic">K. daigremontiana</span> extract for the release of effective virions. Schematic representation of test procedures (<b>A</b>); At 24 h p.i., cells media from Vero 76 were subjected to HHV-1 copies titration by qPCR (<b>B</b>). Plaque inhibition rate on Vero 76 cell line. The experiment used cell media from culture-treated <span class="html-italic">K. daigremontiana</span> (<b>C</b>). Representative images of the cytopathic effect caused by HHV-1—plaque and diffuse cytopathic effect (microscope magnification 400×) (<b>D</b>). Representative images of crystal violet-stained HSV-1-infected Vero 76 cultures with visible cytopathic effect (PFU) wells, treated <span class="html-italic">K. daigremontiana</span> extracts (microscope magnification 100×) (<b>E</b>). Data from three independent experiments are presented as mean ± SEM. Tukey’s multiple comparison test * <span class="html-italic">p</span> ≤ 0.05, and extremely significant at *** <span class="html-italic">p</span> ≤ 0.001.</p>
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<p>Extract from <span class="html-italic">K. daigremontiana</span> affects expression of immediate early and late HHV-1 genes in Vero 76 cells. Schematic representation of test procedures (<b>A</b>). Relative expression of <span class="html-italic">gB</span> (<b>B</b>). Relative expression of <span class="html-italic">icp0</span> (<b>C</b>). Relative expression of <span class="html-italic">icp27</span> (<b>D</b>). Data from three independent experiments are presented as mean ± SEM. Tukey’s multiple comparison test * <span class="html-italic">p</span> ≤ 0.05, and extremely significant at *** <span class="html-italic">p</span> ≤ 0.001.</p>
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<p>Extract from <span class="html-italic">K. daigremontiana</span> affects expression of immediate early and late HHV-1 genes in HaCat cells. Schematic representation of test procedures (<b>A</b>). Relative expression of <span class="html-italic">gB</span> (<b>B</b>). Relative expression of <span class="html-italic">icp0</span> (<b>C</b>). Relative expression of <span class="html-italic">icp27</span> (<b>D</b>). Data from three independent experiments are presented as mean ± SEM. Tukey’s multiple comparison test * <span class="html-italic">p</span> ≤ 0.05 or ** <span class="html-italic">p</span> ≤ 0.01.</p>
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<p>Efficiency of post-treatment with <span class="html-italic">K. daigremontiana</span> extract. Schematic representation of test procedures (<b>A</b>); Vero 76 cell line (<b>B</b>) and HaCaT cell line (<b>C</b>). At 24 h p.i., cells were subjected to HHV-1 copies titration by qPCR. Data from three independent experiments are presented as mean ± SEM. Tukey’s multiple comparison test ** <span class="html-italic">p</span> ≤ 0.01, and extremely significant at *** <span class="html-italic">p</span> ≤ 0.001 or **** <span class="html-italic">p</span> ≤ 0.0001.</p>
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<p>Efficiency of combined therapy (pretreatment) with <span class="html-italic">K. daigremontiana</span> extract and ACV. Schematic representation of test procedures (<b>A</b>); Vero 76 cell line (<b>B</b>) and HaCaT cell line (<b>C</b>). At 24 h p.i., cells were subjected to HHV-1 copies titration by qPCR. Data from three independent experiments are presented as mean ± SEM. Tukey’s multiple comparison test ** <span class="html-italic">p</span> ≤ 0.001, and extremely significant at *** <span class="html-italic">p</span> ≤ 0.001 or **** <span class="html-italic">p</span> ≤ 0.0001.</p>
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<p>Efficiency of combined therapy (post-entry treatment) with <span class="html-italic">K. daigremontiana</span> extract and ACV. Schematic representation of test procedures (<b>A</b>); Vero 76 cell line (<b>B</b>) and HaCaT cell line (<b>C</b>). At 24 h p.i., cells were subjected to HHV-1 copies titration by qPCR. Data from three independent experiments are presented as mean ± SEM. Tukey’s multiple comparison test ** <span class="html-italic">p</span> ≤ 0.001, and extremely significant at *** <span class="html-italic">p</span> ≤ 0.001 or **** <span class="html-italic">p</span> ≤ 0.0001.</p>
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<p>Efficiency of combined therapy (preincubation) with <span class="html-italic">K. daigremontiana</span> extract and ACV. Schematic representation of test procedures (<b>A</b>); Vero 76 cell line (<b>B</b>) and HaCaT cell line (<b>C</b>). At 24 h p.i., cells were subjected to HHV-1 copies titration by qPCR. Data from three independent experiments are presented as mean ± SEM. Tukey’s multiple comparison test ** <span class="html-italic">p</span> ≤ 0.001 and extremely significant at **** <span class="html-italic">p</span> ≤ 0.0001.</p>
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<p>High-content imaging screening assay for HHV-1 antigens after treatment with the <span class="html-italic">K. daigremontiana</span> extract. Schematic representation of test procedures (<b>A</b>); dose-dependent anti-HHV-1 effects of <span class="html-italic">K. daigremontiana</span> extract using HCS spot detector protocols (the software counts the spot corresponding to the viral antigens) (<b>B</b>); representative images from analysis (green—HHV-1—red arrows; blue—DNA) (<b>C</b>), magnification 20×. Data from three independent experiments are presented as mean ± SEM. Tukey’s multiple comparison test at extremely significant at *** <span class="html-italic">p</span> ≤ 0.001 or **** <span class="html-italic">p</span> ≤ 0.0001.</p>
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13 pages, 627 KiB  
Article
Cytomegalovirus in Adenoma and Carcinoma Lesions: Detecting Mono-Infection and Co-Infection in Salivary Glands
by Ana Carolina Silva Guimarães, Jéssica Vasques Raposo Vedovi, Camilla Rodrigues de Almeida Ribeiro, Katrini Guidolini Martinelli, Marcelo Pelajo Machado, Pedro Paulo de Abreu Manso, Barbara Cristina Euzebio Pereira Dias de Oliveira, Mariana Lobo Bergamini, Catharina Simioni de Rosa, Tania Regina Tozetto-Mendoza, Ana Carolina Mamana Fernandes de Souza, Marília Trierveiler Martins, Paulo Henrique Braz-Silva and Vanessa Salete de Paula
Int. J. Mol. Sci. 2024, 25(14), 7502; https://doi.org/10.3390/ijms25147502 (registering DOI) - 9 Jul 2024
Viewed by 750
Abstract
Salivary glands’ neoplasms are hard to diagnose and present a complex etiology. However, several viruses have been detected in these neoplasms, such as HCMV, which can play a role in certain cancers through oncomodulation. The co-infections between HCMV with betaherpesviruses (HHV-6 and HHV-7) [...] Read more.
Salivary glands’ neoplasms are hard to diagnose and present a complex etiology. However, several viruses have been detected in these neoplasms, such as HCMV, which can play a role in certain cancers through oncomodulation. The co-infections between HCMV with betaherpesviruses (HHV-6 and HHV-7) and polyomaviruses (JCV and BKV) has been investigated. The aim of the current study is to describe the frequency of HCMV and co-infections in patients presenting neoplastic and non-neoplastic lesions, including in the salivary gland. Multiplex quantitative polymerase chain reaction was used for betaherpesvirus and polyomavirus quantification purposes after DNA extraction. In total, 50.7% of the 67 analyzed samples were mucocele, 40.3% were adenoma pleomorphic, and 8.9% were mucoepidermoid carcinoma. Overall, 20.9% of samples presented triple-infections with HCMV/HHV-6/HHV-7, whereas 9.0% were co-infections with HCMV/HHV-6 and HCMV/HHV-7. The largest number of co-infections was detected in pleomorphic adenoma cases. All samples tested negative for polyomaviruses, such as BKV and JCV. It was possible to conclude that HCMV can be abundant in salivary gland lesions. A high viral load can be useful to help better understand the etiological role played by viruses in these lesions. A lack of JCV and BKV in the samples analyzed herein does not rule out the involvement of these viruses in one or more salivary gland lesion subtypes. Full article
(This article belongs to the Section Molecular Microbiology)
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<p>*<sup>,a,b</sup> Tukey Test performed to analyze the difference between viral load and lesion type. Anova/Tukey showed statistical significance in HHV-6 viral load between the mucocele and carcinoma lesion types and between the adenoma and carcinoma types (<span class="html-italic">p</span> ≤ 0.001).</p>
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17 pages, 3054 KiB  
Article
Development of a System Suitable for an Apartment Complex for the Collective Recovery of Solid Resources from Food Waste: A Study on South Korea
by Yong-Woo Jeon
Sustainability 2024, 16(13), 5665; https://doi.org/10.3390/su16135665 - 2 Jul 2024
Viewed by 675
Abstract
The installation of food waste disposers has been prohibited in South Korea, due to conflicts with governmental policies that are focused on resource recovery from food waste and concerns about potential damage to the city’s sewer system. However, there is a growing demand [...] Read more.
The installation of food waste disposers has been prohibited in South Korea, due to conflicts with governmental policies that are focused on resource recovery from food waste and concerns about potential damage to the city’s sewer system. However, there is a growing demand for such systems in the country. This study proposes a system for the collective recovery of solid resources from food waste tailored for apartment complexes in South Korea, using an innovative solid–liquid separation technology. In the pilot experiment, 49.60% of the solids fed into the system were recovered as solid matter, confirming its practical applicability. Ultimately, a solid resource collective recovery system suitable for the high-rise apartment residence style of South Korea was developed and applied to an actual apartment complex. The final-stage solids were discharged from the system and processed through bio-drying, subsequently exhibiting a combustible material content of 67.06%, higher heating value (HHV) of 4843 kcal/kg, and lower heating value (LHV) of 3759 kcal/kg; moreover, they have the potential to be repurposed as biomass–solid refuse fuel (bio-SFR), compost, feed, and substrate for biogas production. The proposed food waste disposal system not only aligns with governmental policies, but also facilitates the recovery of high-quality resources from food waste, while providing a sustainable waste management solution. Full article
(This article belongs to the Special Issue Sustainable Waste Management and Recovery)
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<p>Status of food waste generation and treatment in South Korea for 1995–2021.</p>
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<p>The schematic diagram of the pilot experimental system coupled food waste disposer with solid recovery process.</p>
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<p>Illustration of the full-scale system suitable for an apartment complex for the collective recovery of solid resources from food waste.</p>
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<p>Accumulated total solid (TS) fraction in the feed, collected solid, liquid, and remaining matter.</p>
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<p>Concentration of water pollutants in the discharged wastewater from pilot-scale system over the experiment operation period.</p>
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<p>Cumulative methane production curve for the recovered solid with different S/I ratios.</p>
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<p>Concentration of water pollutants in the discharged wastewater from full-scale system according to operation time.</p>
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24 pages, 5701 KiB  
Article
Cytokine Dynamics and Herpesvirus Interactions in Pediatric Liver and Kidney Transplant Recipients: The Distinct Behavior of HCMV, HHV6, HHV7 and EBV
by Yessica Sánchez-Ponce, Juan Rafael Murillo-Eliosa, Abigail Morales-Sanchez and Ezequiel M. Fuentes-Pananá
Viruses 2024, 16(7), 1067; https://doi.org/10.3390/v16071067 - 2 Jul 2024
Viewed by 1559
Abstract
Pediatric solid organ transplant (SOT) recipients face a challenging balance between immunosuppression and graft rejection. While Epstein–Barr Virus (EBV) and cytomegalovirus (HCMV) are known contributors to post-transplant lymphoproliferative disease and graft rejection, respectively, the roles of herpesvirus 6 and 7 (HHV6 and HHV7) [...] Read more.
Pediatric solid organ transplant (SOT) recipients face a challenging balance between immunosuppression and graft rejection. While Epstein–Barr Virus (EBV) and cytomegalovirus (HCMV) are known contributors to post-transplant lymphoproliferative disease and graft rejection, respectively, the roles of herpesvirus 6 and 7 (HHV6 and HHV7) and the impact of these herpesviruses on cytokine levels remain unclear, leading to gaps in clinical practice. In this associative study, we measured 17 cytokines using a Bio-Plex assay in a meticulously curated plasma sample pool (N = 158) from pediatric kidney and liver transplant recipients over a one-year follow-up period. The samples included virus-negative and virus-positive cases, either individually or in combination, along with episodes of graft rejection. We observed that the elevation of IL-4, IL-8, and IL-10 correlated with graft rejection. These cytokines were elevated in samples where HCMV or HHV6 were detected alone or where EBV and HHV7 were co-detected. Interestingly, latent EBV, when detected independently, exhibited an immunomodulatory effect by downregulating cytokine levels. However, in co-detection scenarios with β-herpesviruses, EBV transitioned to a lytic state, also associating with heightened cytokinemia and graft rejection. These findings highlight the complex interactions between the immune response and herpesviruses in transplant recipients. The study advocates for enhanced monitoring of not only EBV and HCMV but also HHV6 and HHV7, providing valuable insights for improved risk assessment and targeted interventions in pediatric SOT recipients. Full article
(This article belongs to the Special Issue Viral Infections in Immunocompromised Hosts)
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<p>Selection of samples for cytokine analysis. (<b>a</b>) Depiction of the plasma samples analyzed. The Venn diagram shows the positive DNAemia by virus. Detection of viruses in the original cohort was as follows: HHV7 = 39%, EBV = 30%, HCMV = 20% and HHV6 = 11%. We tried to preserve this proportions in this subset of samples. (<b>b</b>) Percentage of positive (beige) and negative (black) samples for each cytokine analyzed. The numbers below are the cytokine negative samples. (<b>c</b>) Concentration for each cytokine among samples showing the mean and standard error.</p>
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<p>Comparison of the cytokine concentration in samples with or without viral DNAemia. (<b>a</b>) Heat map displaying the percentage increase in cytokine concentrations observed in samples with single and multiple DNAemia compared with samples negative for viral detection. The scale of cytokine expression change in percentages is shown on the right. (<b>b</b>) Forest plot representing a qualitative analysis of relative risk for cytokine positivity in single and multiple viral DNAemia samples. (<b>c</b>) Venn diagram summarizing the cytokines that exhibit differential increases in both single and multiple viral DNAemia samples. Significant values * <span class="html-italic">p</span> &lt; 0.1, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 and **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Virus-specific association with elevated cytokines. (<b>a</b>) Bar graphs, representing comparisons of the concentrations of each cytokine, between viral DNAemia-negative samples vs. samples with single and multiple viral DNAemia by virus. (<b>b</b>) Correlation matrix between the loads of each virus analyzed and the concentration of each cytokine. Significant values * <span class="html-italic">p</span> &lt; 0.1, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 and **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Differentially upregulated cytokines in rejection. (<b>a</b>) Venn diagram summarizes the differentially upregulated cytokines in samples with viral DNAemia by virus. (<b>b</b>) Bar graph showing the upregulated cytokines in rejection-positive samples. Kruskal–Wallis nonparametric test. (<b>c</b>) Heat map representing the comparison of cytokines between samples without viral DNAemia vs. column 1—rejection positive samples, 2—samples positive only for EBV, 3—samples positive only for HCMV, 4—samples positive only for HHV6, 5—samples positive only for HHV7, 6—samples positive for EBV plus other herpesvirus(es), 7—samples positive for HCMV plus other herpesvirus(es), 8—samples positive for HHV6 plus other herpesvirus(es), 9—samples positive for HHV7 plus other herpesvirus(es). Significant values * <span class="html-italic">p</span> &lt; 0.1, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 and **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Downregulation of cytokine levels by EBV when comparing viral DNAemia-negative vs. viral DNAemia-positive samples. (<b>a</b>) Bar graph showing those cytokines decreased when comparing their concentrations between EBV DNAemia-negative vs. single EBV DNAemia samples. (<b>b</b>) Heat map showing the percentage of decrease observed between cytokine concentrations in the negative vs. positive samples both in single and multiple DNAemia. The downregulated and upregulated cytokines are shown in blue and yellow, respectively. (<b>c</b>) Forest plot of a relative risk qualitative analysis representing the protective effect yielded by EBV DNAemia. Significant values * <span class="html-italic">p</span> &lt; 0.1, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 and **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Correlation analysis of EBV detection and cytokine concentration. (<b>a</b>) Heat map representing the comparison of cytokines between samples without viral DNAemia versus four groups: column (1) EBV positive samples in single detection; (2) EBV positive samples detected in the leukocyte fraction, (3) EBV positive samples in co-detection with other herpesvirus, and (4) EBV positive samples detected in the plasma fraction. The increase in cytokines is shown in yellow and the decrease in blue. (<b>b</b>) Linear regression plots showing the correlation between cytokines levels present in samples with single viral DNAemia versus viral DNAemia detected in leukocytes (<b>upper panel</b>), and cytokines in multiple viral DNAemia versus viral DNAemia in plasma (<b>lower panel</b>). (<b>c</b>) Spearman correlation matrix showing the correlative indexes between the four groups analyzed. (<b>d</b>) Principal component analysis showing clusters of groups 1–4 for each herpesvirus analyzed. Significant values **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Timeline of the patients’ follow-up. The timeline indicates the samples that were positive for viral detection (red circles) and the rejection episodes (red arrows). Samples with a red fill are those taken for cytokine analysis. All analyzed samples were positive for at least one cytokine. The first 13 patients with code “TR” followed by the patient number (TR1, TR4, TR5, TR6, TR7, TR8, TR10, TR13, TR14, TR15, TR16, TR17 and TR22) were patients who underwent renal transplantation. The last 7 patients with code “TH” followed by the patient number (TH6, TH7, TH9, TH10, TH12, TH13 and TH5) were patients who underwent liver transplantation. In both <a href="#viruses-16-01067-t0A1" class="html-table">Table A1</a> and <a href="#viruses-16-01067-f0A1" class="html-fig">Figure A1</a>, renal transplant (TR), hepatic transplant (TH).</p>
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<p>Scatter dot plots; the first is the distribution of the raw data, the second is the distribution of the clean data after the ROUT test.</p>
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<p>Correlation analysis of HCMV detection and cytokine concentration. (<b>a</b>) Heat map representing the comparison of cytokines between samples without viral DNAemia vs. four groups: column (1) HCMV positive samples in single detection; (2) HCMV positive samples detected in the leukocyte fraction, (3) HCMV positive samples in co-detection with other herpesvirus, and (4) HCMV positive samples detected in the plasma fraction. The increase in cytokines is shown in yellow and the decrease in blue. (<b>b</b>) Linear regression plots showing the correlation between cytokines levels present in samples with single viral DNAemia versus viral DNAemia detected in leukocytes (<b>upper panel</b>) and cytokines in multiple viral DNAemia vs. viral DNAemia in plasma (<b>lower panel</b>). (<b>c</b>) Spearman correlation matrix showing the correlative indexes between the four groups analyzed. Significant values * <span class="html-italic">p</span> &lt; 0.1, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Correlation analysis of HHV6 detection and cytokine concentration. (<b>a</b>) Heat map representing the comparison of cytokines between samples without viral DNAemia vs. four groups: column (1) HHV6 positive samples in single detection; (2) HHV6 positive samples detected in the leukocyte fraction, (3) HHV6 positive samples in co-detection with other herpesvirus, and (4) HHV6 positive samples detected in the plasma fraction. The increase in cytokines is shown in yellow and the decrease in blue. (<b>b</b>) Linear regression plots showing the correlation between cytokines levels present in samples with single viral DNAemia versus viral DNAemia detected in leukocytes (<b>upper panel</b>) and cytokines in multiple viral DNAemia vs. viral DNAemia in plasma (<b>lower panel</b>). (<b>c</b>) Spearman correlation matrix showing the correlative indexes between the four groups analyzed. Significant values * <span class="html-italic">p</span> &lt; 0.1, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Correlation analysis of HHV7 detection and cytokine concentration. (<b>a</b>) Heat map representing the comparison of cytokines between samples without viral DNAemia vs. four groups: column (1) HHV7 positive samples in single detection; (2) HHV7 positive samples detected in the leukocyte fraction, (3) HHV7 positive samples in co-detection with other herpesvirus, and (4) HHV7 positive samples detected in the plasma fraction. The increase in cytokines is shown in yellow and the decrease in blue. (<b>b</b>) Linear regression plots showing the correlation between cytokines levels present in samples with single viral DNAemia versus viral DNAemia detected in leukocytes (<b>upper panel</b>) and cytokines in multiple viral DNAemia vs. viral DNAemia in plasma (<b>lower panel</b>). (<b>c</b>) Spearman correlation matrix showing the correlative indexes between the four groups analyzed. Significant values * <span class="html-italic">p</span> &lt; 0.1.</p>
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12 pages, 3229 KiB  
Article
Evaluation of Growth and Energy Parameters of One-Year-Old Raspberry Shoots, Depending on the Variety
by Grzegorz Maj, Kamil Buczyński, Kamila E. Klimek and Magdalena Kapłan
Energies 2024, 17(13), 3153; https://doi.org/10.3390/en17133153 - 26 Jun 2024
Cited by 1 | Viewed by 741
Abstract
The article examines the influence of six varieties of primocane raspberries, Rubus idaeus L., on the growth parameters and energy properties of the biomass. The unique aim of this study was to show the impact of primocane raspberry varieties, grown for a single [...] Read more.
The article examines the influence of six varieties of primocane raspberries, Rubus idaeus L., on the growth parameters and energy properties of the biomass. The unique aim of this study was to show the impact of primocane raspberry varieties, grown for a single harvest, on the growth parameters of the bushes and the energy and emission characteristics of the biomass obtained from the pruned canes. To the best of our knowledge, there is no such analysis connected to varieties of raspberries available in the literature. The following primocane raspberries were assessed: Polana, Polesie, Delniwa, Poemat, Polonez, and Poranek. Among the studied raspberry varieties, Polana was characterized by the highest number of side shoots and the greatest sum of the shoot lengths, while the Polonez variety was characterized by the highest average shoot length and shoot thickness. In the tested raspberry varieties, the weight of the shoots per hectare varied significantly, ranging from 6.06 t in the Poranek variety to 9.05 t in the Delniwa variety. It was shown that the raspberry variety had a significant impact on the higher heating value (HHV) and the lower heating value (LHV). The lowest energy value was found in the Delniwa (HHV—17.32 MJ·kg−1; LHV—16.07 MJ·kg−1) and Polana (HHV—17.33 MJ·kg−1, LHV—16.19 MJ·kg−1) varieties, and the significantly highest value was observed in the Poranek variety (HHV—17.63 MJ·kg−1, LHV—16.39 MJ·kg−1). The assessment of the total volume of exhaust gases showed the highest value of this parameter for the Polesie and Delniwa varieties (6.89 m3·kg−1), with the lowest for the Polana variety (6.69 m3·kg−1). Full article
(This article belongs to the Section B: Energy and Environment)
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<p>Methodology of analyses of energy and emission properties [<a href="#B36-energies-17-03153" class="html-bibr">36</a>,<a href="#B37-energies-17-03153" class="html-bibr">37</a>,<a href="#B38-energies-17-03153" class="html-bibr">38</a>,<a href="#B39-energies-17-03153" class="html-bibr">39</a>,<a href="#B40-energies-17-03153" class="html-bibr">40</a>,<a href="#B41-energies-17-03153" class="html-bibr">41</a>,<a href="#B42-energies-17-03153" class="html-bibr">42</a>,<a href="#B43-energies-17-03153" class="html-bibr">43</a>,<a href="#B44-energies-17-03153" class="html-bibr">44</a>,<a href="#B45-energies-17-03153" class="html-bibr">45</a>].</p>
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<p>Methodology of analyses of energy and emission properties [<a href="#B36-energies-17-03153" class="html-bibr">36</a>,<a href="#B37-energies-17-03153" class="html-bibr">37</a>,<a href="#B38-energies-17-03153" class="html-bibr">38</a>,<a href="#B39-energies-17-03153" class="html-bibr">39</a>,<a href="#B40-energies-17-03153" class="html-bibr">40</a>,<a href="#B41-energies-17-03153" class="html-bibr">41</a>,<a href="#B42-energies-17-03153" class="html-bibr">42</a>,<a href="#B43-energies-17-03153" class="html-bibr">43</a>,<a href="#B44-energies-17-03153" class="html-bibr">44</a>,<a href="#B45-energies-17-03153" class="html-bibr">45</a>].</p>
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<p>The influence of raspberry variety on selected growth parameters.</p>
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<p>Total weight of shoots of all analyzed varieties on an area of 1 ha.</p>
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<p>Analysis of the main components of the total mass of shoots from the considered raspberry varieties.</p>
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<p>Analysis of the main components of the combustion parameters of the considered raspberry varieties.</p>
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12 pages, 868 KiB  
Article
Characterization of Herpesviridae Family Members, BK Virus, and Adenovirus in Children and Adolescents with Nephrotic Syndrome
by Silvia Mendonça Ferreira Menoni, Lucas Lopes Leon, Rodrigo Gonçalves de Lima, Anna Cristina Gervásio de Brito Lutaif, Liliane Cury Prates, Lilian Monteiro Pereira Palma, Sandra Cecília Botelho Costa, Vera Maria Santoro Belangero and Sandra Helena Alves Bonon
Viruses 2024, 16(7), 1017; https://doi.org/10.3390/v16071017 - 25 Jun 2024
Viewed by 676
Abstract
Since the significance of viral infections in children and adolescents with nephrotic syndrome (NS) is yet to be defined, this study intended to estimate the occurrence, pattern, and outcomes of some DNA viral infections in children with NS. Methods: A prospective study was [...] Read more.
Since the significance of viral infections in children and adolescents with nephrotic syndrome (NS) is yet to be defined, this study intended to estimate the occurrence, pattern, and outcomes of some DNA viral infections in children with NS. Methods: A prospective study was conducted to determine the genome identification of the viruses Epstein-Barr (EBV), human cytomegalovirus (HCMV), human herpesvirus 6 (HHV-6 type A and type B) and 7 (HHV-7), polyomavirus (BKV), and human adenovirus (HAdV) in plasma and urine samples of pediatric patients with NS. Results: A total of 35 patients aged 1 to 18 years with NS and under immunosuppressant drugs participated in the study. Plasma and urine samples were collected at regular intervals during a median follow-up of 266 days (range 133–595), and DNA was analyzed to detect the selected DNA viruses. Eleven patients (31.4%) had active virus infections, and patterns were classified as coinfection, recurrent, and consecutive. Of these, six patients (54.5%) presented viral coinfection, six (54.5%) viral recurrence, and seven patients (63.3%) had viral consecutive infection. Ten of the eleven patients with active infection had a proteinuria relapse (91%) and eight (72.7%) were hospitalized (p = 0.0022). Active HCMV infection was the most frequent infection and was observed in six patients (54.5%), three of the eleven patients (27.2%) had suspected HCMV disease in the gastrointestinal tract, and one had HHV-7 coinfection. The frequency of other infections was: 9% for HHV-6, 45.5% for BKV, 27.3% for HHV-7, 18.2% for EBV, and 18.2% for HAdV. Conclusion: viral infections, especially HCMV, can be an important cause of morbidity and nephrotic syndrome relapse in children. Full article
(This article belongs to the Special Issue Opportunistic Viral Infections 2nd Edition)
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<p>Nested PCR amplified products were examined by agarose gel electrophoresis to detect EBV, HCMV, HHV-6B, HHV-7, BKV and HAdV. Nested PCR products amplified using clinical samples (indicated by numbers) were detected for the indicated viruses by running electrophoresis on agarose gels, with 100 pb DNA size marker (L), positive control (C+) and negative control (C−). (<b>A</b>) EBV was positive for patient 21 (line #1). (<b>B</b>) HCMV was positive for patient 1 (line #1). (<b>C</b>) HHV-6B was positive for patient 24 (line #1 and #2). (<b>D</b>) HHV-7 was positive for patient 7 (Line #1). (<b>E</b>) BKV was positive for patient 8 (line #1), patient 15 (line #3), patient 21 (line #4) and patient 24 (line #5). (<b>F</b>) HAdV was positive for patient 24 (Line #6). Abbreviations: EBV, Epstein-Barr virus; HCMV, human cytomegalovirus; HHV-6A, human herpesvirus 6 type A; HHV-6B, human herpesvirus type B; HHV-7, human herpesvirus 7; BKV, human polyomavirus BKV; HAdV, human adenovirus.</p>
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<p>Flow chart from study participants and the results. Legend: EBV: Epstein-Barr virus; HCMV: human cytomegalovirus; HHV-6: herpesvirus type 6; HHV-7: herpesvirus type 7; HAdV: human adenovirus; BKV: polyomavirus type BK; IgG = immunoglobulin type G.</p>
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22 pages, 1660 KiB  
Review
Virus-Induced MicroRNA Modulation and Systemic Sclerosis Disease
by Irene Soffritti, Maria D’Accolti, Francesca Bini, Eleonora Mazziga, Dario Di Luca, Clara Maccari, Maria-Cristina Arcangeletti and Elisabetta Caselli
Biomedicines 2024, 12(6), 1360; https://doi.org/10.3390/biomedicines12061360 - 19 Jun 2024
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Abstract
MicroRNAs (miRNAs) are short noncoding RNA sequences that regulate gene expression at the post-transcriptional level. They are involved in the regulation of multiple pathways, related to both physiological and pathological conditions, including autoimmune diseases, such as Systemic Sclerosis (SSc). Specifically, SSc is recognized [...] Read more.
MicroRNAs (miRNAs) are short noncoding RNA sequences that regulate gene expression at the post-transcriptional level. They are involved in the regulation of multiple pathways, related to both physiological and pathological conditions, including autoimmune diseases, such as Systemic Sclerosis (SSc). Specifically, SSc is recognized as a complex and multifactorial disease, characterized by vascular abnormalities, immune dysfunction, and progressive fibrosis, affecting skin and internal organs. Among predisposing environmental triggers, evidence supports the roles of oxidative stress, chemical agents, and viral infections, mostly related to those sustained by beta-herpesviruses such as HCMV and HHV-6. Dysregulated levels of miRNA expression have been found in SSc patients compared to healthy controls, at both the intra- and extracellular levels, providing a sort of miRNA signature of the SSc disease. Notably, HCMV/HHV-6 viral infections were shown to modulate the miRNA profile, often superposing that observed in SSc, potentially promoting pathological pathways associated with SSc development. This review summarizes the main data regarding miRNA alterations in SSc disease, highlighting their potential as prognostic or diagnostic markers for SSc disease, and the impact of the putative SSc etiological agents on miRNA modulation. Full article
(This article belongs to the Special Issue MicroRNA and Its Role in Human Health)
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<p>Profile of miRNAs deregulated in SSc disease, both at the tissue and extracellular level, and effects of oxidative stress and beta-herpesviruses infection on SSc-associated miRNAs [<a href="#B42-biomedicines-12-01360" class="html-bibr">42</a>,<a href="#B51-biomedicines-12-01360" class="html-bibr">51</a>,<a href="#B52-biomedicines-12-01360" class="html-bibr">52</a>,<a href="#B53-biomedicines-12-01360" class="html-bibr">53</a>,<a href="#B54-biomedicines-12-01360" class="html-bibr">54</a>,<a href="#B55-biomedicines-12-01360" class="html-bibr">55</a>,<a href="#B56-biomedicines-12-01360" class="html-bibr">56</a>,<a href="#B57-biomedicines-12-01360" class="html-bibr">57</a>,<a href="#B58-biomedicines-12-01360" class="html-bibr">58</a>,<a href="#B59-biomedicines-12-01360" class="html-bibr">59</a>,<a href="#B60-biomedicines-12-01360" class="html-bibr">60</a>,<a href="#B61-biomedicines-12-01360" class="html-bibr">61</a>,<a href="#B62-biomedicines-12-01360" class="html-bibr">62</a>,<a href="#B63-biomedicines-12-01360" class="html-bibr">63</a>,<a href="#B64-biomedicines-12-01360" class="html-bibr">64</a>,<a href="#B65-biomedicines-12-01360" class="html-bibr">65</a>,<a href="#B66-biomedicines-12-01360" class="html-bibr">66</a>,<a href="#B67-biomedicines-12-01360" class="html-bibr">67</a>,<a href="#B68-biomedicines-12-01360" class="html-bibr">68</a>,<a href="#B69-biomedicines-12-01360" class="html-bibr">69</a>,<a href="#B70-biomedicines-12-01360" class="html-bibr">70</a>,<a href="#B71-biomedicines-12-01360" class="html-bibr">71</a>,<a href="#B72-biomedicines-12-01360" class="html-bibr">72</a>,<a href="#B73-biomedicines-12-01360" class="html-bibr">73</a>,<a href="#B74-biomedicines-12-01360" class="html-bibr">74</a>,<a href="#B75-biomedicines-12-01360" class="html-bibr">75</a>,<a href="#B76-biomedicines-12-01360" class="html-bibr">76</a>,<a href="#B77-biomedicines-12-01360" class="html-bibr">77</a>,<a href="#B78-biomedicines-12-01360" class="html-bibr">78</a>,<a href="#B79-biomedicines-12-01360" class="html-bibr">79</a>,<a href="#B80-biomedicines-12-01360" class="html-bibr">80</a>,<a href="#B81-biomedicines-12-01360" class="html-bibr">81</a>,<a href="#B82-biomedicines-12-01360" class="html-bibr">82</a>,<a href="#B83-biomedicines-12-01360" class="html-bibr">83</a>,<a href="#B84-biomedicines-12-01360" class="html-bibr">84</a>,<a href="#B85-biomedicines-12-01360" class="html-bibr">85</a>,<a href="#B86-biomedicines-12-01360" class="html-bibr">86</a>,<a href="#B87-biomedicines-12-01360" class="html-bibr">87</a>,<a href="#B88-biomedicines-12-01360" class="html-bibr">88</a>,<a href="#B89-biomedicines-12-01360" class="html-bibr">89</a>,<a href="#B90-biomedicines-12-01360" class="html-bibr">90</a>,<a href="#B91-biomedicines-12-01360" class="html-bibr">91</a>,<a href="#B92-biomedicines-12-01360" class="html-bibr">92</a>] (SSc, Systemic Sclerosis; upward red arrows, up-regulated miRNAs; downward blue arrows, down-regulated miRNAs).</p>
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