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19 pages, 2699 KiB  
Article
Nitrogen Utilization and Ruminal Microbiota of Hu Lambs in Response to Varying Dietary Metabolizable Protein Levels
by Yitao Cai, Jifu Zou, Yibang Zhou, Jinyong Yang, Chong Wang and Huiling Mao
Animals 2025, 15(14), 2147; https://doi.org/10.3390/ani15142147 - 21 Jul 2025
Viewed by 260
Abstract
Optimizing the metabolizable protein level in ruminant diets represents a promising strategy to increase nitrogen use efficiency and mitigate environmental pollution. This study explored the impacts of varying metabolizable protein (MP) levels on amino acid (AA) balance, nitrogen (N) utilization, and the ruminal [...] Read more.
Optimizing the metabolizable protein level in ruminant diets represents a promising strategy to increase nitrogen use efficiency and mitigate environmental pollution. This study explored the impacts of varying metabolizable protein (MP) levels on amino acid (AA) balance, nitrogen (N) utilization, and the ruminal microbiota in Hu lambs. Fifty-four female Hu lambs of 60 d old, with an average body weight (BW) of 18.7 ± 2.37 kg, were randomly allocated to three dietary MP groups: (1) low MP (LMP, 7.38% of DM), (2) moderate MP (MMP, 8.66% of DM), and (3) high MP (HMP, 9.93% of DM). Three lambs with similar BW within each group were housed together in a single pen, serving as one experimental replicate (n = 6). The feeding trial lasted for 60 days with 10 days for adaptation. The final BW of lambs in the MMP and HMP groups increased (p < 0.05) by 5.64% and 5.26%, respectively, compared to the LMP group. Additionally, lambs fed the MMP diet exhibited an 11.6% higher (p < 0.05) average daily gain than those in the LMP group. Increasing dietary MP levels enhanced (p < 0.05) N intake, urinary N, retained N, and percent N retained, but decreased apparent N digestibility (p < 0.05). Urinary uric acid, total purine derivatives, intestinally absorbable dietary protein, microbial crude protein, intestinally absorbable microbial crude protein, and actual MP supply all increased (p < 0.05) with higher MP values in the diet. The plasma concentrations of arginine, lysine, methionine, phenylalanine, threonine, aspartic acid, proline, total essential AAs, and total nonessential AAs were the lowest (p < 0.05) in the LMP group. In the rumen, elevated MP levels led to a significant increase (p < 0.05) in the ammonia N content. The relative abundances of Candidatus_Saccharimonas, Ruminococcus, and Oscillospira were the lowest (p < 0.05), whereas the relative abundances of Terrisporobacter and the Christensenellaceae_R-7_group were the highest (p < 0.05) in the MMP group. In conclusion, the moderate dietary metabolizable protein level could enhance growth performance, balance the plasma amino acid profiles, and increase nitrogen utilization efficiency in Hu lambs, while also altering the rumen bacterial community by increasing beneficial probiotics like the Christensenellaceae_R-7_group. Full article
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18 pages, 1149 KiB  
Article
Hypothermic Machine Perfusion Is Associated with Improved Short-Term Outcomes in Liver Transplantation: A Retrospective Cohort Study
by Alexandru Grigorie Nastase, Alin Mihai Vasilescu, Ana Maria Trofin, Mihai Zabara, Ramona Cadar, Ciprian Vasiluta, Nutu Vlad, Bogdan Mihnea Ciuntu, Corina Lupascu Ursulescu, Cristina Muzica, Irina Girleanu, Iulian Buzincu, Florin Iftimie and Cristian Dumitru Lupascu
Life 2025, 15(7), 1112; https://doi.org/10.3390/life15071112 - 16 Jul 2025
Viewed by 422
Abstract
Introduction: Liver transplantation remains the definitive treatment for end-stage liver disease but faces critical challenges including organ shortages and preservation difficulties, particularly with extended criteria donor (ECD) grafts. Hypothermic machine perfusion (HMP) represents a promising alternative to traditional static cold storage (SCS). Methods: [...] Read more.
Introduction: Liver transplantation remains the definitive treatment for end-stage liver disease but faces critical challenges including organ shortages and preservation difficulties, particularly with extended criteria donor (ECD) grafts. Hypothermic machine perfusion (HMP) represents a promising alternative to traditional static cold storage (SCS). Methods: This retrospective study analyzed outcomes from 62 liver transplant recipients between 2016 and 2025, comparing 8 grafts preserved by HMP using the Liver Assist® system and 54 grafts preserved by SCS. Parameters assessed included postoperative complications, hemodynamic stability, ischemia times, and survival outcomes. Results: HMP significantly reduced surgical (0% vs. 75.9%, p = 0.01) and biliary complications (0% vs. 34.4%, p = 0.004), improved hemodynamic stability post-reperfusion (∆MAP%: 1 vs. 21, p = 0.006), and achieved superior one-year survival rates (100% vs. 84.4%). Despite longer ischemia periods, grafts treated with HMP exhibited fewer adverse effects from ischemia-reperfusion injury. Discussion: These findings highlight the substantial benefits of HMP, particularly in improving graft quality from marginal donors and reducing postoperative morbidity. Further adoption of this technology could significantly impact liver transplantation outcomes by expanding the viable donor pool. Conclusions: The study underscores the effectiveness of hypothermic machine perfusion (HMP) as a superior preservation method compared to traditional static cold storage (SCS), HMP appears to be associated with improved short-term outcomes in liver transplantation. By substantially reducing postoperative complications and enhancing graft viability, HMP emerges as a pivotal strategy for maximizing the use of marginal donor organs. Further research and broader clinical implementation are recommended to validate these promising results and to fully harness the potential of HMP in liver transplantation. Full article
(This article belongs to the Section Medical Research)
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23 pages, 7993 KiB  
Article
A New Machine Learning Algorithm to Simulate the Outlet Flow in a Reservoir, Based on a Water Balance Model
by Marco Antonio Cordero Mancilla, Wilmer Moncada and Vinie Lee Silva Alvarado
Limnol. Rev. 2025, 25(3), 29; https://doi.org/10.3390/limnolrev25030029 - 1 Jul 2025
Viewed by 452
Abstract
Predicting water losses and final storage in reservoirs has become increasingly relevant in the efficient control and optimization of water provided to agriculture, livestock, industry, and domestic consumption, aiming to mitigate the risks associated with flash floods and water crises. This research aims [...] Read more.
Predicting water losses and final storage in reservoirs has become increasingly relevant in the efficient control and optimization of water provided to agriculture, livestock, industry, and domestic consumption, aiming to mitigate the risks associated with flash floods and water crises. This research aims to develop a new Machine Learning (ML) algorithm based on a water balance model to simulate the outflow in the Cuchoquesera reservoir in the Ayacucho region. The method uses TensorFlow (TF), a powerful interface for graphing and time series forecasting, for data analysis of hydrometeorological parameters (HMP), inflow (QE_obs), and outflow (QS_obs) of the reservoir. The ML water balance model is fed, trained, and calibrated with daily HMP, QE_obs, and QS_obs data from the Sunilla station. The results provide monthly forecasts of the simulated outflow (QS_sim), which are validated with QS_obs values, with significant validation indicators: NSE (0.87), NSE-Ln (0.83), Pearson (0.94), R2 (0.87), RMSE (0.24), Bias (0.99), RVB (0.01), NPE (0.01), and PBIAS (0.14), with QS_obs being slightly higher than QS_sim. Therefore, it is important to highlight that water losses due to evaporation and infiltration increased significantly between 2019 and 2023. Full article
(This article belongs to the Special Issue Hot Spots and Topics in Limnology)
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20 pages, 2191 KiB  
Article
Metabolomic Insight into Donation After Circulatory-Death Kidney Grafts in Porcine Autotransplant Model: Normothermic Ex Vivo Kidney Perfusion Compared with Hypothermic Machine Perfusion and Static Cold Storage
by Iga Stryjak, Natalia Warmuzińska, Kamil Łuczykowski, Kacper Wnuk, Hernando Rosales-Solano, Patrycja Janiszek, Peter Urbanellis, Katarzyna Buszko, Janusz Pawliszyn, Markus Selzner and Barbara Bojko
Int. J. Mol. Sci. 2025, 26(13), 6295; https://doi.org/10.3390/ijms26136295 - 30 Jun 2025
Viewed by 532
Abstract
Organ shortage is a major challenge in transplantation, prompting the use of extended criteria donor grafts. These require improved preservation techniques and reliable methods to assess graft function. This study aimed to evaluate changes in the kidney metabolome following three preservation methods: normothermic [...] Read more.
Organ shortage is a major challenge in transplantation, prompting the use of extended criteria donor grafts. These require improved preservation techniques and reliable methods to assess graft function. This study aimed to evaluate changes in the kidney metabolome following three preservation methods: normothermic ex vivo kidney perfusion (NEVKP), hypothermic machine perfusion (HMP) and static cold storage (SCS) in porcine autotransplant models. A chemical biopsy allowed minimally invasive sampling of metabolites, which were analyzed using liquid chromatography coupled with high-resolution mass spectrometry. The results highlighted metabolites affected by ischemia and oxidative stress in donor kidneys, as well as changes specific to each preservation method. Differences were observed immediately after transplantation and reperfusion and several days post-surgery. NEVKP was associated with the activation of physiological anti-oxidative and anti-inflammatory mechanisms, suggesting potential protective effects. However, some metabolites had dual roles, which may influence future graft treatment designs. HMP and SCS, while reducing energy demand in cells, also limit physiological repair mechanisms. These findings provide a basis for improving graft assessment and organ preservation, with chemical biopsy serving as both a tool for discovery and a potential diagnostic method for monitoring graft quality. Full article
(This article belongs to the Special Issue Mass Spectrometry in Molecular Biology)
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22 pages, 3730 KiB  
Article
Reservoir Compatibility and Enhanced Oil Recovery of Polymer and Polymer/Surfactant System: Effects of Molecular Weight and Hydrophobic Association
by Tao Liu, Xin Chen and Xiang Tang
Polymers 2025, 17(10), 1390; https://doi.org/10.3390/polym17101390 - 18 May 2025
Viewed by 629
Abstract
In this paper, four kinds of flooding systems, high-molecular-weight polymer (HMP), low-molecular-weight polymer (LMP), hydrophobic association polymer (HAP), and LMP/petroleum sulfonate (PS), are preferred. By comparing the static performance, their good basic characteristics as an oil displacement system are clarified. The application concentration [...] Read more.
In this paper, four kinds of flooding systems, high-molecular-weight polymer (HMP), low-molecular-weight polymer (LMP), hydrophobic association polymer (HAP), and LMP/petroleum sulfonate (PS), are preferred. By comparing the static performance, their good basic characteristics as an oil displacement system are clarified. The application concentration range of the polymer solution is optimized and designed in combination with core injectivity experiments and mobility control theory. The oil displacement system and its injection volume have been optimized via three parallel core flooding experiments. The results show that the increase of the polymer molecular weight and the association will enhance the viscosity-increasing performance, viscosity stability, viscoelasticity, and hydrodynamic characteristic size of the solution. According to whether the injection pressure curve reaches equilibrium and the time required for equilibrium, the matching relationship between the polymer and the reservoir can be divided into plugging, flow difficulty and flow smoothly. Based on the mobility control theory, the minimum mobility of the target core occurs when the water saturation is 30–40%. Therefore, the polymer formulation for the application of combined cores with viscosities of 50 mD, 210 mD, and 350 mD is set at 1500 mg/L for LMP and 800 mg/L for MAP. HAP has the best profile improvement effect, but its lowest EOR is 9.68%, which mainly acts on high-permeability layers; LMP can produce more remaining oil in middle-permeability layers, and its EOR can reach 12.01%; LMP/PS can give full play to the oil displacement performance of the polymer and the oil washing ability of the surfactant, and its highest EOR is 21.32%. Meanwhile, the emulsification effect also makes the profile improvement last longer. According to the EOR efficiency and final oil recovery, the optimal injection volume of LMP/PS can be designed to be 0.6–0.7 PV. Full article
(This article belongs to the Section Polymer Processing and Engineering)
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16 pages, 1346 KiB  
Article
Hierarchical Multiparty Digital Signature for Distributed Systems: Application in Intelligent Vehicle Surveillance
by Samir Guediri, Messaoud Abbas, Mostefa Kara and Muath AlShaikh
J. Cybersecur. Priv. 2025, 5(2), 22; https://doi.org/10.3390/jcp5020022 - 9 May 2025
Viewed by 483
Abstract
The rapid expansion of distributed systems such as the Internet of Things (IoT) has increased the need for robust authentication and data integrity mechanisms to ensure public security in dynamic environments. This article presents a hierarchical multiparty digital signature (HMPS) technique designed to [...] Read more.
The rapid expansion of distributed systems such as the Internet of Things (IoT) has increased the need for robust authentication and data integrity mechanisms to ensure public security in dynamic environments. This article presents a hierarchical multiparty digital signature (HMPS) technique designed to address the unique challenges of resource-constrained and decentralized systems. By integrating a modified ElGamal-based individual signature with linear encryption and hierarchical aggregation, HMPS delivers enhanced security through collaborative and layered signing processes. A key application is demonstrated in intelligent vehicle surveillance, where the scheme ensures the authenticity and integrity of commands and data in multi-level communication scenarios. Comprehensive security analysis confirms resistance to forgery, single points of failure, and unauthorized access. HMPS exhibits superior computational efficiency, scalability, and energy efficiency, as evidenced by comparative performance evaluations with state-of-the-art techniques. These results highlight HMPS as a highly effective solution for secure, real-time IoT applications, providing a pathway to more resilient and trustworthy distributed systems. Full article
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18 pages, 4012 KiB  
Article
Synthesis of Hydroxyapatite Mulberry Stem Biochar Composites for Efficient Pb(II) Adsorption from Aqueous Solutions
by Dunqiu Wang, Xinyu Zhou, Meina Liang and Zimeng Wu
Water 2025, 17(9), 1389; https://doi.org/10.3390/w17091389 - 5 May 2025
Viewed by 549
Abstract
In this study, two biochar composites, namely hydroxyapatite/mulberry stem biochar (HMp) and magnesium-doped HMp (Mg0.1-HMp), were prepared using mulberry stem as the major raw material using the sol–gel process. Characterization and batch experiments were carried out on HMp and Mg0.1-HMp to investigate the [...] Read more.
In this study, two biochar composites, namely hydroxyapatite/mulberry stem biochar (HMp) and magnesium-doped HMp (Mg0.1-HMp), were prepared using mulberry stem as the major raw material using the sol–gel process. Characterization and batch experiments were carried out on HMp and Mg0.1-HMp to investigate the Pb(II) adsorption mechanism and the factors affecting the adsorption, respectively. The results indicated that carboxylic compounds, phenols, and carbonyl functional groups were formed on the surfaces of HMp and Mg0.1-HMp. At an optimal pH of 5, an adsorption period of 6 h was achieved at an initial Pb(II) concentration of 100 mg/L and adsorbent quantity of 2 g/L. The maximum Pb(II) adsorption capacities of the HMp and Mg0.1-HMp were 303.03 and 312.50 mg/g, respectively, at 25 °C. The maximum Pb(II) adsorption capacity of Mg0.1-HMp was 2.55 times more than that of mulberry stem biochar (MBC). The adsorption of Pb(II) by HMp and Mg0.1-HMp is consistent with the Langmuir isotherm and pseudo-second-order kinetic models, demonstrating a spontaneous, endothermic, and irreversible process dominated by monolayer chemical adsorption. These results show that the mechanisms of Pb(II) by Mg0.1-HMp mainly involved electrostatic interaction, complexation, precipitation, and ion exchange. Full article
(This article belongs to the Special Issue Adsorption Technologies in Wastewater Treatment Processes)
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23 pages, 1079 KiB  
Article
Optimizing Nutritional Care with Machine Learning: Identifying Sarcopenia Risk Through Body Composition Parameters in Cancer Patients—Insights from the NUTritional and Sarcopenia RIsk SCREENing Project (NUTRISCREEN)
by Giuseppe Porciello, Teresa Di Lauro, Assunta Luongo, Sergio Coluccia, Melania Prete, Ludovica Abbadessa, Elisabetta Coppola, Annabella Di Martino, Anna Licia Mozzillo, Emanuela Racca, Arianna Piccirillo, Vittoria Di Giacomo, Martina Fontana, Maria D’Amico, Elvira Palumbo, Sara Vitale, Davide D’Errico, Valeria Turrà, Ileana Parascandolo, Tiziana Stallone, Livia S. A. Augustin, Anna Crispo, Egidio Celentano and Sandro Pignataadd Show full author list remove Hide full author list
Nutrients 2025, 17(8), 1376; https://doi.org/10.3390/nu17081376 - 18 Apr 2025
Cited by 1 | Viewed by 1285
Abstract
Background/Objectives: Cancer and related treatments can impair body composition (BC), increasing the risk of malnutrition and sarcopenia, poor prognosis, and Health-Related Quality of Life (HRQoL). To enhance BC parameter interpretation through Bioelectrical Impedance Analysis (BIA), we developed a predictive model based on [...] Read more.
Background/Objectives: Cancer and related treatments can impair body composition (BC), increasing the risk of malnutrition and sarcopenia, poor prognosis, and Health-Related Quality of Life (HRQoL). To enhance BC parameter interpretation through Bioelectrical Impedance Analysis (BIA), we developed a predictive model based on unsupervised approaches including Principal Component Analysis (PCA) and k-means clustering for sarcopenia risk in cancer patients at the Istituto Nazionale Tumori IRCCS “Fondazione G. Pascale” (Naples). Methods: Sarcopenia and malnutrition risks were assessed using the NRS-2002 and SARC-F questionnaires, anthropometric measurements, and BIA. HRQoL was evaluated with the EORTC QLQ-C30 questionnaire. PCA and clustering analysis were performed to identify different BC profiles. Results: Data from 879 cancer patients (mean age: 63 ± 12.5 years) were collected: 117 patients (13%) and 128 (15%) were at risk of malnutrition and sarcopenia, respectively. PCA analysis identified three main components, and k-means determined three clusters, namely HMP (High Muscle Profile), MMP (Moderate Muscle Profile), and LMP (Low Muscle Profile). Patients in LMP were older, with a higher prevalence of comorbidities, malnutrition, and sarcopenia. In the multivariable analysis, age, lung cancer site, diabetes, and malnutrition risk were significantly associated with an increased risk of sarcopenia; among the clusters, patients in LMP had an increased risk of sarcopenia (+62%, p = 0.006). Conclusions: The NUTRISCREEN project, part of the ONCOCAMP study (ClinicalTrials.gov ID: NCT06270602), provides a personalized nutritional pathway for early screening of malnutrition and sarcopenia. Using an unsupervised approach, we provide distinct BC profiles and valuable insights into the factors associated with sarcopenia risk. This approach in clinical practice could help define risk categories, ensure the most appropriate nutritional strategies, and improve patient outcomes by providing data-driven care. Full article
(This article belongs to the Special Issue A Path Towards Personalized Smart Nutrition)
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14 pages, 2670 KiB  
Article
Absence of Exogenous Glucose in the Perfusate During Kidney Hypothermic Machine Perfusion Does Not Affect Mitochondrial Function
by Dafni Efraimoglou, L. Annick van Furth, Albert Gerding, Barbara M. Bakker, Jan-Luuk Hillebrands, Henri G. D. Leuvenink and Leonie H. Venema
Transplantology 2025, 6(2), 8; https://doi.org/10.3390/transplantology6020008 - 22 Mar 2025
Viewed by 577
Abstract
Background: Optimizing organ preservation techniques is imperative in the face of donor kidney shortage and high waiting list mortality. Hypothermic machine perfusion (HMP) has emerged as an effective method to improve graft function post-transplantation, particularly for deceased donor kidneys, prone to ischemia reperfusion [...] Read more.
Background: Optimizing organ preservation techniques is imperative in the face of donor kidney shortage and high waiting list mortality. Hypothermic machine perfusion (HMP) has emerged as an effective method to improve graft function post-transplantation, particularly for deceased donor kidneys, prone to ischemia reperfusion injury (IRI). The perfusion solution includes glucose to support kidney metabolism; however, its effect on mitochondrial function remains unclear. The present study investigated the effect of glucose supplementation during 24 h of oxygenated HMP on mitochondrial function in porcine kidneys. Methods: After 30 min of warm ischemia, porcine slaughterhouse kidneys were preserved for 24 h using HMP with one of the following three solutions: the standard HMP preservation solution, University of Wisconsin machine perfusion (UW-MP) solution, which contains glucose; the solution used for static cold storage, University of Wisconsin cold storage (UW-CS) solution, which lacks glucose; or the UW-CS supplemented with 10 mmol/L glucose. Tissue and perfusate samples were collected before, during, and after perfusion for further analysis. Results: ATP production, mitochondrial respiration, and oxidative stress markers were not significantly different between groups. Glucose was released into the perfusion solution even from kidneys without exogenous glucose supplementation in the perfusate. Conclusions: These results suggest that kidney mitochondrial respiration does not depend on the presence of glucose in the HMP perfusion solution at the start of perfusion, underscoring the need for further exploration of nutrient supplementation and mitochondrial function in organ preservation strategies. Full article
(This article belongs to the Section Organ and Tissue Donation and Preservation)
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16 pages, 1452 KiB  
Review
Does Oxygen Work? Evidence for Oxygenation During Kidney Graft Preservation: A Review
by Andres Calva Lopez, Jose Enrique Robles Garcia, Carlos Andres Yanez Ruiz, Mario Daniel Tapia Tapia, Vanessa Talavera Cobo, Carmina Alejandra Muñoz Bastidas, Bernardino Miñana Lopez and Daniel Sanchez Zalabardo
J. Clin. Med. 2025, 14(6), 1927; https://doi.org/10.3390/jcm14061927 - 13 Mar 2025
Viewed by 671
Abstract
Kidney transplantation (KT) is the gold-standard treatment of end-stage kidney disease (ESKD). Traditional preservation methods, such as static cold storage (SCS), have been replaced by modern and more effective preservation methods, especially hypothermic machine perfusion (HMP). Regardless of improved preservation, ischemia-reperfusion injury (IRI) [...] Read more.
Kidney transplantation (KT) is the gold-standard treatment of end-stage kidney disease (ESKD). Traditional preservation methods, such as static cold storage (SCS), have been replaced by modern and more effective preservation methods, especially hypothermic machine perfusion (HMP). Regardless of improved preservation, ischemia-reperfusion injury (IRI) is inevitable, limiting graft functionality through delayed graft function (DGF) and graft survival. Supplementing the ischemic kidney graft with oxygen during hypothermic preservation has been used in different methods as an attempt to counteract IRI and its effects on graft function and survival. Various oxygenation methods have been studied, from adaptations of classic and well-known preservation strategies, like the addition of oxygen carriers to SCS, or more innovative preservation methods, like hyperbaric oxygenation or retrograde oxygen persufflation. In this review, we will attempt to provide a summary of the available evidence on oxygen carriers, hyperbaric oxygenation, the two-layer method, retrograde oxygen persufflation, and hypothermic oxygenated machine perfusion (HOPE) and discuss the effect these strategies have on kidney graft functionality. Full article
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15 pages, 1684 KiB  
Article
Comparison of Lysis and Amplification Methodologies for Optimal 16S rRNA Gene Profiling for Human and Mouse Microbiome Studies
by Farzaneh Rastegari, Mark Driscoll, Jesse D. Riordan, Joseph H. Nadeau, Jethro S. Johnson and George M. Weinstock
Int. J. Mol. Sci. 2025, 26(3), 1180; https://doi.org/10.3390/ijms26031180 - 29 Jan 2025
Viewed by 1426
Abstract
When conducting sequence-based analysis of microbiome samples, it is important to accurately represent the bacterial communities present. The aim of this study was to compare two commercially available DNA isolation and PCR amplification approaches to determine their impact on the taxonomic composition of [...] Read more.
When conducting sequence-based analysis of microbiome samples, it is important to accurately represent the bacterial communities present. The aim of this study was to compare two commercially available DNA isolation and PCR amplification approaches to determine their impact on the taxonomic composition of microbiome samples following 16S rRNA gene sequencing. A well-established 16S rRNA gene profiling approach, which was widely used in the Human Microbiome Project (HMP), was compared with a novel alkaline degenerative technique that utilizes alkaline cell lysis in combination with a degenerate pool of primers for nucleic acid extraction and PCR amplification. When comparing these different approaches for the microbiome profiling of human and mouse fecal samples, we found that the alkaline-based method was able to detect greater taxonomic diversity. An in silico analysis of predicted primer binding against a curated 16S rRNA gene reference database further suggested that this novel approach had the potential to reduce population bias found with traditional methods, thereby offering opportunities for improved microbial community profiling. Full article
(This article belongs to the Section Molecular Genetics and Genomics)
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9 pages, 1392 KiB  
Review
The Evolution of Kidney Graft Preservation Through the Years
by Andres Calva Lopez, Jose Enrique Robles Garcia, Carlos Andres Yanez Ruiz, Mario Daniel Tapia Tapia, Vanessa Talavera Cobo, Carmina Alejandra Muñoz Bastidas, Daniel Sanchez Zalabardo and Bernardino Miñana Lopez
Life 2024, 14(12), 1647; https://doi.org/10.3390/life14121647 - 11 Dec 2024
Viewed by 945
Abstract
Chronic kidney disease (CKD) is a prevalent disease affecting almost 10% of the world’s population, with many cases progressing to end-stage kidney disease (ESKD). Kidney transplantation (KT) is the gold-standard treatment for ESKD. Due to growing KT waitlists, the deceased kidney donor (DKDs) [...] Read more.
Chronic kidney disease (CKD) is a prevalent disease affecting almost 10% of the world’s population, with many cases progressing to end-stage kidney disease (ESKD). Kidney transplantation (KT) is the gold-standard treatment for ESKD. Due to growing KT waitlists, the deceased kidney donor (DKDs) criteria have expanded to increase the number of available kidney grafts. Kidney graft preservation ensures optimal graft function after KT. Static cold storage (SCS) as a preservation method is still widely used. Hypothermic machine perfusion (HMP) has proven to decrease delayed graft function (DGF) and increase graft survival. Most recent studies advocate for the use of HMP regardless of donor type. However, emerging technologies, such as hypothermic oxygenated machine perfusion (HOPE) and normothermic machine perfusion (NMP), have shown promising results in specific scenarios. This review aims to provide a summary of the well-established kidney graft preservation methods and their outcomes, as well as novel technological advances that allow for newer preservation strategies. Full article
(This article belongs to the Special Issue Kidney Transplantation: What’s Hot and What’s New)
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23 pages, 1189 KiB  
Review
The Role of the Vaginal and Endometrial Microbiomes in Infertility and Their Impact on Pregnancy Outcomes in Light of Recent Literature
by Bernadett Balla, Anett Illés, Bálint Tobiás, Henriett Pikó, Artúr Beke, Miklós Sipos, Péter Lakatos and János P. Kósa
Int. J. Mol. Sci. 2024, 25(23), 13227; https://doi.org/10.3390/ijms252313227 - 9 Dec 2024
Cited by 8 | Viewed by 4456
Abstract
The Human Microbiome Project (HMP), initiated in 2007, aimed to gather comprehensive knowledge to create a genetic and metabolic map of human-associated microorganisms and their contribution to physiological states and predisposition to certain diseases. Research has revealed that the human microbiome is highly [...] Read more.
The Human Microbiome Project (HMP), initiated in 2007, aimed to gather comprehensive knowledge to create a genetic and metabolic map of human-associated microorganisms and their contribution to physiological states and predisposition to certain diseases. Research has revealed that the human microbiome is highly diverse and exhibits significant interpersonal variability; consequently, its exact impact on health remains unclear. With the development of next-generation sequencing (NGS) technologies, the broad spectrum of microbial communities has been better characterized. The lower female genital tract, particularly the vagina, is colonized by various bacterial species, with Lactobacillus spp. predominating. The upper female genital tract, especially the uterus, was long considered sterile. However, recent studies have identified a distinct endometrial microbiome. A Lactobacillus-dominated microbiome of the female genital tract is associated with favorable reproductive outcomes, including higher success rates in natural conception and assisted reproductive technologies (ART). Conversely, microbial imbalances, or dysbiosis, marked by reduced Lactobacilli as well as an increased diversity and abundance of pathogenic species (e.g., Gardnerella vaginalis or Prevotella spp.), are linked to infertility, implantation failure, and pregnancy complications such as miscarriage and preterm birth. Dysbiosis can impair the vaginal or endometrial mucosal barrier and also trigger pro-inflammatory responses, disrupting essential reproductive processes like implantation. Despite growing evidence supporting the associations between the microbiome of the female genital tract and certain gynecological and obstetric conditions, clear microbial biomarkers have yet to be identified, and there is no consensus on the precise composition of a normal or healthy microbiome. The lack of standardized protocols and biomarkers limits the routine use of microbiome screening tests. Therefore, larger patient cohorts are needed to facilitate comparative studies and improve our understanding of the physiological microbiome profiles of the uterus and vagina, as well as how dysbiosis may influence clinical outcomes. Further research is required to refine diagnostic tools and develop personalized therapeutic strategies to improve fertility and pregnancy outcomes. Full article
(This article belongs to the Special Issue Molecular Mechanisms of Pregnancy Complications)
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9 pages, 2398 KiB  
Article
Pectin Hydrogels as Structural Platform for Antibacterial Drug Delivery
by Tejas Saravanan, Jennifer M. Pan, Franz G. Zingl, Matthew K. Waldor, Yifan Zheng, Hassan A. Khalil and Steven J. Mentzer
Polymers 2024, 16(22), 3202; https://doi.org/10.3390/polym16223202 - 19 Nov 2024
Cited by 1 | Viewed by 1439
Abstract
Hydrogels are hydrophilic 3-dimensional networks characterized by the retention of a large amount of water. Because of their water component, hydrogels are a promising method for targeted drug delivery. The water component, or “free volume”, is a potential vehicle for protein drugs. A [...] Read more.
Hydrogels are hydrophilic 3-dimensional networks characterized by the retention of a large amount of water. Because of their water component, hydrogels are a promising method for targeted drug delivery. The water component, or “free volume”, is a potential vehicle for protein drugs. A particularly intriguing hydrogel is pectin. In addition to a generous free volume, pectin has structural characteristics that facilitate hydrogel binding to the glycocalyceal surface of visceral organs. To test drug function and pectin integrity after loading, we compared pectin films from four distinct plant sources: lemon, potato, soybean, and sugar beet. The pectin films were tested for their micromechanical properties and intrinsic antibacterial activity. Lemon pectin films demonstrated the greatest cohesion at 30% water content. Moreover, modest growth inhibition was observed with lemon pectin (p < 0.05). No effective inhibition was observed with soybean, potato, or sugar beet films (p > 0.05). In contrast, lemon pectin films embedded with carbenicillin, chloramphenicol, or kanamycin demonstrated significant bacterial growth inhibition (p < 0.05). The antibacterial activity was similar when the antibiotics were embedded in inert filter disks or pectin disks (p > 0.05). We conclude that lemon pectin films represent a promising structural platform for antibacterial drug delivery. Full article
(This article belongs to the Special Issue Biomedical Applications of Intelligent Hydrogel 2nd Edition)
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22 pages, 7431 KiB  
Article
EDH-STNet: An Evaporation Duct Height Spatiotemporal Prediction Model Based on Swin-Unet Integrating Multiple Environmental Information Sources
by Hanjie Ji, Lixin Guo, Jinpeng Zhang, Yiwen Wei, Xiangming Guo and Yusheng Zhang
Remote Sens. 2024, 16(22), 4227; https://doi.org/10.3390/rs16224227 - 13 Nov 2024
Cited by 2 | Viewed by 1131
Abstract
Given the significant spatial non-uniformity of marine evaporation ducts, accurately predicting the regional distribution of evaporation duct height (EDH) is crucial for ensuring the stable operation of radio systems. While machine-learning-based EDH prediction models have been extensively developed, they fail to provide the [...] Read more.
Given the significant spatial non-uniformity of marine evaporation ducts, accurately predicting the regional distribution of evaporation duct height (EDH) is crucial for ensuring the stable operation of radio systems. While machine-learning-based EDH prediction models have been extensively developed, they fail to provide the EDH distribution over large-scale regions in practical applications. To address this limitation, we have developed a novel spatiotemporal prediction model for EDH that integrates multiple environmental information sources, termed the EDH Spatiotemporal Network (EDH-STNet). This model is based on the Swin-Unet architecture, employing an Encoder–Decoder framework that utilizes consecutive Swin-Transformers. This design effectively captures complex spatial correlations and temporal characteristics. The EDH-STNet model also incorporates nonlinear relationships between various hydrometeorological parameters (HMPs) and EDH. In contrast to existing models, it introduces multiple HMPs to enhance these relationships. By adopting a data-driven approach that integrates these HMPs as prior information, the accuracy and reliability of spatiotemporal predictions are significantly improved. Comprehensive testing and evaluation demonstrate that the EDH-STNet model, which merges an advanced deep learning algorithm with multiple HMPs, yields accurate predictions of EDH for both immediate and future timeframes. This development offers a novel solution to ensure the stable operation of radio systems. Full article
(This article belongs to the Section Atmospheric Remote Sensing)
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