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14 pages, 491 KiB  
Article
Role of Salivary Biomarkers IL-1β and MMP-8 in Early Detection and Staging of Periodontal Disease
by Liliana Sachelarie, Corina Laura Stefanescu, Rodica Maria Murineanu, Mircea Grigorian, Agripina Zaharia, Ioana Scrobota and Loredana Liliana Hurjui
Medicina 2025, 61(4), 760; https://doi.org/10.3390/medicina61040760 (registering DOI) - 20 Apr 2025
Abstract
Background: Periodontal disease is a chronic inflammatory condition affecting the supporting tissues of the teeth. Early diagnosis is crucial for preventing severe complications. This study investigates and compares the utility of two salivary biomarkers, interleukin-1 beta (IL-1β) and matrix metalloproteinase-8 (MMP-8), in [...] Read more.
Background: Periodontal disease is a chronic inflammatory condition affecting the supporting tissues of the teeth. Early diagnosis is crucial for preventing severe complications. This study investigates and compares the utility of two salivary biomarkers, interleukin-1 beta (IL-1β) and matrix metalloproteinase-8 (MMP-8), in the early detection and staging of periodontal disease. Methods: This study included 189 patients, all of whom were evaluated both clinically and biologically. Each participant provided unstimulated saliva samples, which were analyzed using ELISA methods to quantify IL-1β and MMP-8 levels. Clinical periodontal data, including probing depth (3.9 ± 0.6 mm), clinical attachment loss (3.4 ± 0.6 mm), and Plaque Index (2.35 ± 0.55), were collected for all subjects. Biomarker concentrations were then correlated with these clinical parameters and with disease severity, classified according to the 2018 EFP/AAP criteria. Results: IL-1β levels (210 ± 95 pg/mL) were strongly associated with early gingival inflammation, while MMP-8 levels (185 ± 140 ng/mL) correlated with periodontal tissue destruction (p < 0.01). MMP-8 showed a higher sensitivity for diagnosing advanced stages (p = 0.002), whereas IL-1β was more effective in detecting early inflammatory changes (p = 0.01). Logistic regression identified MMP-8 as a significant predictor of advanced disease (coefficient 0.85, p < 0.001) and IL-1β as an indicator of early inflammation (coefficient 0.25, p = 0.02). Conclusions: Both biomarkers are valuable tools for the diagnosis and staging of periodontal disease. MMP-8 is relevant for identifying advanced cases, while IL-1β supports early detection. Their combined use may enhance diagnostic accuracy and guide personalized periodontal care. Full article
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14 pages, 4120 KiB  
Article
SACG-YOLO: A Method of Transmission Line Insulator Defect Detection by Fusing Scene-Aware Information and Detailed-Content-Guided Information
by Lihui Zhao, Jun Kang, Yang An, Yurong Li, Meili Jia and Ruihong Li
Electronics 2025, 14(8), 1673; https://doi.org/10.3390/electronics14081673 (registering DOI) - 20 Apr 2025
Abstract
To address the challenges in insulator defect detection for transmission lines, including complex background interference, varying defect region scales, and sample imbalance, we propose a detection method that effectively integrates scene perception information and detailed content guidance. First, a scene perception enhancement module [...] Read more.
To address the challenges in insulator defect detection for transmission lines, including complex background interference, varying defect region scales, and sample imbalance, we propose a detection method that effectively integrates scene perception information and detailed content guidance. First, a scene perception enhancement module is employed to extract global environmental information, improving the baseline model’s adaptability to complex backgrounds. Second, a detailed content attention module is introduced to enable the model to more accurately capture fine-grained features of small defect regions. Furthermore, a normalized Wasserstein distance metric function is adopted to mitigate the sensitivity of the regression branch in the baseline model. Simultaneously, a sample weighting function is utilized to reduce the impact of sample imbalance on the classification branch. Experimental results demonstrate that the proposed method achieves superior detection performance on a real-world transmission line insulator defect dataset. Full article
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11 pages, 1051 KiB  
Article
Relationship Between Dietary Habits and Stress Responses Exerted by Different Gut Microbiota
by Kouji Satoh, Makoto Hazama, Mari Maeda-Yamamoto and Jun Nishihira
Nutrients 2025, 17(8), 1388; https://doi.org/10.3390/nu17081388 (registering DOI) - 20 Apr 2025
Abstract
Background/Objectives: A number of studies have reported on the improvement in physical and psychological diseases through diet; however, the findings for these ameliorative effects have differed. Such differences may be due to the varying metabolism of the nutrient content in food among subjects. [...] Read more.
Background/Objectives: A number of studies have reported on the improvement in physical and psychological diseases through diet; however, the findings for these ameliorative effects have differed. Such differences may be due to the varying metabolism of the nutrient content in food among subjects. It has been reported that differences in the enterotypes of gut microbiota are associated with metabolic differences, and enterotypes vary between countries and regions. This study investigated whether differences in gut microbiota affect the relationship between dietary habits and stress responses. Methods: We administered a questionnaire to 810 subjects who participated in the “Sukoyaka Health Survey” regarding their dietary habits and stress reactions. We also performed an analysis of the gut microbiota from fecal samples. Results: The gut microbiota was grouped into four clusters based on the abundance of genus strains. The relationship between dietary habits and stress responses revealed two patterns of eating: one where more frequent intakes were associated with a lower stress response, and another with a higher stress response. We investigated the relationship between dietary habits and stress responses for each gut microbiota cluster. The results showed that the relationship between dietary habits and stress responses differed for each cluster. Conclusions: Our analysis showed that dietary habits affect stress responses, but the relationship varies depending on the gut microbiota. This finding suggests that one of the factors for the difference in the ameliorative efficacy of physical and psychological diseases through diet is the difference in the abundance ratio of the gut microbiota (enterotype). Full article
(This article belongs to the Section Prebiotics and Probiotics)
17 pages, 7990 KiB  
Article
Seasonal Analysis and Machine Learning-Based Prediction of Air Pollutants in Relation to Meteorological Parameters: A Case Study from Sakarya, Türkiye
by Beytullah Eren, Samiullah Serat, Yasemin Damar Arifoglu and Serkan Ozdemir
Appl. Sci. 2025, 15(8), 4551; https://doi.org/10.3390/app15084551 (registering DOI) - 20 Apr 2025
Abstract
Air pollution poses significant environmental and public health challenges, especially in urban–industrial areas where pollutant dynamics are influenced by complex interactions with meteorological factors. This study examines the seasonal variations and correlations between air pollutants (PM10, NO, NO2, and [...] Read more.
Air pollution poses significant environmental and public health challenges, especially in urban–industrial areas where pollutant dynamics are influenced by complex interactions with meteorological factors. This study examines the seasonal variations and correlations between air pollutants (PM10, NO, NO2, and CO) and meteorological parameters (wind speed, temperature, relative humidity, and rainfall) in Sakarya, Türkiye, in 2021–2023. Statistical analyses and predictive models, including multiple linear regression (MLR) and random forest (RF), were applied to evaluate the factors shaping pollutant levels and assess model effectiveness in forecasting air quality. The findings highlight wind speed and rainfall as critical in reducing PM10 and NO concentrations, with notable seasonal effects. RF outperformed MLR for PM10 predictions, while MLR better captured the linear relationships influencing NO and NO2 levels. Both models faced challenges in predicting CO due to its diverse sources and weak meteorological links. The dynamic effects of temperature and relative humidity further emphasize the complexity of pollutant behavior. This research underscores the necessity of integrating meteorological data into air quality strategies and provides actionable recommendations for policymakers and urban planners to advance sustainable urban development. Full article
(This article belongs to the Special Issue Air Quality Monitoring, Analysis and Modeling)
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24 pages, 2960 KiB  
Article
Multi-Objective Model for Efficient, Equitable, and Sustainable Water Allocation Under Uncertainty: A Case Study of Namhan River Basin, South Korea
by Flavia D. Frederick and Doosun Kang
Water 2025, 17(8), 1230; https://doi.org/10.3390/w17081230 (registering DOI) - 20 Apr 2025
Abstract
Water allocation under uncertainty remains a critical challenge in water-scarce regions. This study presents an integrated water allocation model that explicitly incorporates uncertainty through stochastic streamflow simulations and addresses multiple objectives—efficiency, equity, and sustainability—within a unified framework. The model uses historical inflow data, [...] Read more.
Water allocation under uncertainty remains a critical challenge in water-scarce regions. This study presents an integrated water allocation model that explicitly incorporates uncertainty through stochastic streamflow simulations and addresses multiple objectives—efficiency, equity, and sustainability—within a unified framework. The model uses historical inflow data, future demand projections, and a multi-objective optimization approach based on the NSGA-II to generate trade-off solutions. To support decision-making, TOPSIS is applied to identify the most balanced allocation strategies from the Pareto-optimal sets. The model is applied to the Namhan River Basin in South Korea, with two key applications: (1) developing adaptive water allocation strategies under dry, normal, and wet hydrological conditions, and (2) proposing targeted infrastructure enhancements—including new dams, transmission lines, and intake points—to address vulnerabilities in dry years. The results demonstrate that the proposed model improves supply reliability, economic efficiency, equity across regions, and sustainability through river maintenance and reservoir storage compliance. This study provides a generalizable and practical decision-support tool for long-term water planning under climate and demand uncertainties, offering actionable insights for water-deficient basins. Full article
(This article belongs to the Special Issue Optimization-Simulation Modeling of Sustainable Water Resource)
12 pages, 8788 KiB  
Article
Innovative Integration of High-Performance Floating Patch Antennas in Empty Substrate Integrated Waveguides
by Darío Herraiz Tirado, Marcos D. Fernandez, David Herraiz-Zanon, Ignacio Galeote Carballo, Akram Alomainy and Angel Belenguer
Appl. Sci. 2025, 15(8), 4549; https://doi.org/10.3390/app15084549 (registering DOI) - 20 Apr 2025
Abstract
Substrate Integrated Circuits (SICs) represent a significant advancement in microwave communication systems due to their high efficiency, performance, and integration capabilities. Empty Substrate-Integrated Waveguides (ESIWs) are a type of SIC that offers benefits such as cost-effectiveness while maintaining high performance. This paper presents [...] Read more.
Substrate Integrated Circuits (SICs) represent a significant advancement in microwave communication systems due to their high efficiency, performance, and integration capabilities. Empty Substrate-Integrated Waveguides (ESIWs) are a type of SIC that offers benefits such as cost-effectiveness while maintaining high performance. This paper presents the design and implementation of the first floating patch antenna integrated into an ESIW, fed by a metallic rod. The proposed antenna is designed to operate in the X-band (8–12 GHz), with a resonance peak at 10 GHz. The patch antenna is square, which provides interesting radiation characteristics. It is excited by a metallic rod that connects the patch to the ESIW line, resulting in excellent performance in terms of measured radiation efficiency (over 90%) and −10 dB impedance bandwidth (approximately 20%). The prototype demonstrates minimal differences between the simulated and manufactured versions. These results highlight the potential of ESIW-fed floating patch antennas for advanced satellite communication systems. This will enable the integration of complete communication systems within ESIWs and facilitate the straightforward development of 2D element arrays. Full article
(This article belongs to the Special Issue Recent Advances in Antennas and Propagation)
17 pages, 1124 KiB  
Article
Mechanism of Mining-Induced Dynamic Loading in Shallow Coal Seams Crossing Maoliang Terrain
by Jie Zhang, Guang Qin, Tao Yang, Bin Wang, Yifeng He and Shoushi Gao
Appl. Sci. 2025, 15(8), 4550; https://doi.org/10.3390/app15084550 (registering DOI) - 20 Apr 2025
Abstract
To address the intense mining pressure and dynamic accidents, such as shield collapse during mining in shallow coal seams crossing the Maoliang terrain, this study focuses on Panel 30206 of the Yanghuopan Coal Mine. Through theoretical analysis, numerical simulation, and field measurements, the [...] Read more.
To address the intense mining pressure and dynamic accidents, such as shield collapse during mining in shallow coal seams crossing the Maoliang terrain, this study focuses on Panel 30206 of the Yanghuopan Coal Mine. Through theoretical analysis, numerical simulation, and field measurements, the stress transfer patterns and dynamic changes in shield loads during mining were analyzed, and the mechanism of dynamic mining pressure and calculation method for maximum support resistance were determined. The results show that when the working face enters the load-affected zone of the Maoliang terrain, the base load ratio of the overburden increases. The fracturing of the roof strata causes a synchronized motion between the key stratum and the overlying surface layer. The fracture and instability of the key stratum under mining-induced terrain loads significantly increase the shield resistance and intensify the mining pressure, with a hysteresis effect. Field measurements indicate a maximum shield working resistance of 8974 kN at Panel 30206, showing a 3.25% deviation from the theoretical value of 9266 kN, with a 25 m lag behind the peak load in the Maoliang terrain. This research provides criteria for support selection and ground control in Maoliang terrain mining, ensuring safe production. Full article
13 pages, 446 KiB  
Article
The Role of the Cerebellum in Multiple Sclerosis-Related Fatigue and Disability
by Nicola Manocchio, Ornella Argento, Michela Bossa, Barbara Spanò, Leonardo Pellicciari, Calogero Foti and Ugo Nocentini
J. Clin. Med. 2025, 14(8), 2840; https://doi.org/10.3390/jcm14082840 (registering DOI) - 20 Apr 2025
Abstract
Background: Fatigue is a prevalent and debilitating symptom in people with multiple sclerosis (pwMS), significantly impairing quality of life. While the cerebellum is traditionally associated with motor control, emerging evidence suggests its involvement in cognitive, emotional, and integrative functions. This study aimed [...] Read more.
Background: Fatigue is a prevalent and debilitating symptom in people with multiple sclerosis (pwMS), significantly impairing quality of life. While the cerebellum is traditionally associated with motor control, emerging evidence suggests its involvement in cognitive, emotional, and integrative functions. This study aimed to explore the relationship between fatigue components (physical, cognitive, and psychosocial), clinical disability, and cerebellar structural changes in pwMS acquired via magnetic resonance imaging (MRI). Methods: Participants of this cross-sectional study underwent clinical assessments for fatigue (Modified Fatigue Impact Scale) and disability (Expanded Disability Status Scale). Cerebellar volumes were measured using high-resolution MRI and voxel-based morphometry (VBM) to identify correlations between fatigue subdomains and specific cerebellar subregions. Statistical analyses included group comparisons and correlation tests. Results: Forty-four pwMS were included. Fatigued MS patients exhibited reduced sensorimotor cerebellar volumes compared to non-fatigued counterparts. Physical fatigue correlated negatively with sensorimotor cerebellum volume, while cognitive fatigue showed an inverse relationship with limbic cerebellum regions. Interestingly, psychosocial fatigue was positively associated with limbic cerebellum volume, contrary to initial hypotheses. Higher disability scores were linked to atrophy in cognitive and limbic cerebellar regions. Conclusions: The findings highlight the cerebellum’s multifaceted role in MS-related fatigue, with distinct subregions contributing to physical, cognitive, and psychosocial fatigue components. These results underscore the cerebellum’s critical function as a hub for motor, cognitive, and emotional integration. Future longitudinal studies incorporating objective measures and advanced imaging are essential to elucidate these relationships further and inform targeted therapeutic strategies for pwMS. Full article
(This article belongs to the Special Issue Multiple Sclerosis: Diagnosis, Treatment and Clinical Management)
12 pages, 893 KiB  
Article
A Retrospective Single-Center Analysis from Southern Italy on the Use of T2 Magnetic Resonance Assays as a Point-of-Care Method for Patients with Sepsis
by Mariarita Margherita Bona, Vincenza Maria Carelli, Nicola Serra, Salvatore Amico, Roberta Bartolini, Anna Giammanco, Paola Di Carlo, Teresa Fasciana and Maria Andriolo
Biomedicines 2025, 13(4), 999; https://doi.org/10.3390/biomedicines13040999 (registering DOI) - 20 Apr 2025
Abstract
Background: The rapid and accurate identification of the pathogens responsible for sepsis is essential for prompt and effective antimicrobial therapy. The T2Bacteria® Panel (T2B) and T2Candida® Panel (T2C) are rapid molecular tests performed on whole blood that exploit T2 Magnetic [...] Read more.
Background: The rapid and accurate identification of the pathogens responsible for sepsis is essential for prompt and effective antimicrobial therapy. The T2Bacteria® Panel (T2B) and T2Candida® Panel (T2C) are rapid molecular tests performed on whole blood that exploit T2 Magnetic Resonance (T2MRsup®) technology. Objectives: This study evaluates the impact of the T2MR system as a point-of-care device for managing sepsis and septic shock patients. Methods: This single-center retrospective study was conducted at the Sant’ Elia Hospital of Caltanissetta from 1 January 2023 to 31 July 2023. The study population was composed of patients with suspected sepsis and septic shock according to the Sepsis-3 criteria and for whom concurrent T2MR and BC samples were requested for diagnosis. Results: A total of 81 consecutive patients were enrolled in this study. Concordant T2/BC results were obtained in 69/81 (85.2%) patients; 58/81 (71.6%) were concordant-negative and 11/81 (13.6%) were concordant-positive. Discordant T2MR+/BC− results were observed in 9/81 patients (11.1%), while T2MR−/BC+ results were detected in 3/81 patients (3.7%). Furthermore, the median time for reporting positive T2MR test results (5.2 h) was significantly shorter than that for BC (122 h). Conclusions: Due to its high reliability, faster detection time, and simple workflow, T2MR in combination with BC improved the etiological diagnosis of sepsis in the enrolled patients. Full article
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18 pages, 2082 KiB  
Article
Synthesis and Evaluation of Aquatic Antimicrobial Peptides Derived from Marine Metagenomes Using a High-Throughput Screening Approach
by Kaiyue Wu, Guangxin Xu, Yin Tian, Guizhen Li, Zhiwei Yi and Xixiang Tang
Mar. Drugs 2025, 23(4), 178; https://doi.org/10.3390/md23040178 (registering DOI) - 20 Apr 2025
Abstract
Bacterial diseases cause high mortality and considerable losses in aquaculture. The rapid expansion of intensive aquaculture has further increased the risk of large-scale outbreaks. However, the emergence of drug-resistant bacteria, food safety concerns, and environmental regulations have severely limited the availability of antimicrobial. [...] Read more.
Bacterial diseases cause high mortality and considerable losses in aquaculture. The rapid expansion of intensive aquaculture has further increased the risk of large-scale outbreaks. However, the emergence of drug-resistant bacteria, food safety concerns, and environmental regulations have severely limited the availability of antimicrobial. Compared to traditional antibiotics, antimicrobial peptides (AMPs) offer broad spectrum activity, physicochemical stability, and lower resistance development. However, their low natural yield and high extraction costs along with the time-consuming and expensive nature of traditional drug discovery, pose a challenge. In this study, we applied a machine-learning macro-model to predict AMPs from three macrogenomes in the water column of South American white shrimp aquaculture ponds. The AMP content per megabase in the traditional earthen pond (TC1) was 1.8 times higher than in the biofloc pond (ZA1) and 63% higher than in the elevated pond (ZP11). A total of 1033 potential AMPs were predicted, including 6 anionic linear peptides, 616 cationic linear peptides, and 411 cationic cysteine-containing peptides. After screening based on structural, and physio-chemical properties, we selected 10 candidate peptides. Using a rapid high-throughput cell-free protein expression system, we identified nine peptides with antimicrobial activity against aquatic pathogens. Three were further validated through chemical synthesis. The three antimicrobial peptides (K-5, K-58, K-61) showed some inhibitory effects on all four pathogenic bacteria. The MIC of K-5 against Vibrio alginolyticus was 25 μM, the cell viability of the three peptides was higher than 70% at low concentrations (≤12.5 μM), and the hemolysis rate of K-5 and K-58 was lower than 5% at 200 μM. This study highlights the benefits of machine learning in AMP discovery, demonstrates the potential of cell-free protein synthesis systems for peptide screening, and provides an efficient method for high-throughput AMP identification for aquatic applications. Full article
14 pages, 2095 KiB  
Article
Modeling of Power Generation and Acid Recovery in an Analogous Process of Reverse Electrodialysis
by Qiaolin Lang, Yang Liu, Gaojuan Guo, Fei Liu and Yang Zhang
Membranes 2025, 15(4), 126; https://doi.org/10.3390/membranes15040126 (registering DOI) - 20 Apr 2025
Abstract
The feasibility of an analogous reverse electrodialysis (RED) process for power generation and acid recovery from acidic waste streams in the steel industry is investigated in this study. A comprehensive model was established to simulate the transport phenomena and power generation, which was [...] Read more.
The feasibility of an analogous reverse electrodialysis (RED) process for power generation and acid recovery from acidic waste streams in the steel industry is investigated in this study. A comprehensive model was established to simulate the transport phenomena and power generation, which was validated through experimental data. The simulated operation time was 3 h, during which an acid recovery rate of 41.7% was achieved, and the maximum output power density reached 30.37 μW·cm−2. The results demonstrated a strong dependence of output power density on the acid concentration, with a linear relationship within the tested range of 1.0–3.0 mol·L⁻1 HCl. An optimal flow rate range was identified that maximized power output, with the best value of 90 mL∙min1. The differences in energy harvesting between the traditional acid diffusion dialysis process and our analogous RED process were demonstrated via simulation. The importance of system electroneutrality in driving ion migration and forming ionic currents was crucial for effective power generation. The analogous RED process is a promising solution for efficient acid recovery and power generation from industrial acid waste, offering a sustainable treatment approach. Full article
(This article belongs to the Section Membrane Applications for Energy)
28 pages, 14146 KiB  
Article
Virtual MOS Sensor Array Design for Ammonia Monitoring in Pig Barns
by Raphael Parsiegel, Miguel Budag Becker, Pieter Try and Marion Gebhard
Sensors 2025, 25(8), 2617; https://doi.org/10.3390/s25082617 (registering DOI) - 20 Apr 2025
Abstract
Animal welfare in barns is strongly influenced by air quality, with gaseous emissions like ammonia posing significant respiratory health risks. However, current state-of-the-art ammonia monitoring systems are labor-intensive and expensive. Metal Oxide Semiconductor (MOS) sensors offer a promising alternative due to their compatibility [...] Read more.
Animal welfare in barns is strongly influenced by air quality, with gaseous emissions like ammonia posing significant respiratory health risks. However, current state-of-the-art ammonia monitoring systems are labor-intensive and expensive. Metal Oxide Semiconductor (MOS) sensors offer a promising alternative due to their compatibility with sensor networks, enabling high-resolution ammonia monitoring across spatial and temporal scales. While MOS sensors exhibit high sensitivity to various volatile compounds, temperature-cycled operation is commonly employed to enhance selectivity, effectively creating virtual sensor arrays. This study aims to improve ammonia detection by designing a virtual sensor array through a cyclic data-driven approach, integrating machine learning with solid-state sensor modeling. The results of a two-week dataset with measurements of four different pig barns demonstrate ammonia sensing with a sampling rate of about 2/min and a range of 1–30 ppm. The method is robust and exhibits a 10 increase in normalized RMSE when comparing testing results of an unseen sensor module with results of the training dataset. A filter membrane boosts accuracy and prevents data loss due to contamination, such as flyspecks. Overall, the used MOS sensor BME688 is effective and economical for widespread continuous ammonia monitoring and localization of ammonia sources in pig barns. Full article
(This article belongs to the Special Issue AI, IoT and Smart Sensors for Precision Agriculture: 2nd Edition)
16 pages, 858 KiB  
Article
A Study of the Central Motor Drives Interactions Between the Eyes, and an Index Finger, and a Little Finger
by Shiho Fukuda, Han Gao, Naoki Hamada and Koichi Hiraoka
Brain Sci. 2025, 15(4), 422; https://doi.org/10.3390/brainsci15040422 (registering DOI) - 20 Apr 2025
Abstract
Background/Objectives: When manipulating an object placed on the palm, the eyes and fingers move together. To perform this task precisely, coordination of the eyes and fingers is needed. Based on this view, the present study examined the three-way interaction among the central [...] Read more.
Background/Objectives: When manipulating an object placed on the palm, the eyes and fingers move together. To perform this task precisely, coordination of the eyes and fingers is needed. Based on this view, the present study examined the three-way interaction among the central motor drives to the eyes, index finger, and little finger. Methods: Healthy male participants abducted the right index and/or little finger with or without concomitant saccadic eye movement to the right in response to a visual cue, while the forearm was in the pronated or supinated position. We measured the reaction time (RT), velocity, and amplitude of the eye movements, as well as the RT and amplitude of the electromyographic (EMG) responses in the prime movers for the independent and dependent finger movements. Results: The velocity, amplitude, and RT of the eye movement were not changed by the additional involvement of the finger movement, indicating that the central motor drive to the finger does not influence the eye motor excitability and central motor drive to the eyes. On the one hand, the RT of the finger was not changed by the eye movement, indicating that the central motor drive to the eyes does not influence the central motor drive to the finger muscle. On the other hand, the EMG amplitude in the first dorsal interosseous muscle at the movement onset decreased during the concomitant eye movement, indicating that the central motor drive to the eyes suppresses the motor excitability of the independent finger muscle. The RT increased and EMG amplitude decreased in one finger muscle when the other finger concurrently moved, indicating that the central motor drive to one finger muscle suppresses the motor excitability of and central motor drive to the other finger muscle. The change in the RT and EMG amplitude in one finger muscle caused by the concomitant execution of the other finger movement and/or eye movement varied with forearm position, indicating that forearm proprioception influences the interaction of the motor execution processes among the fingers and eyes. Conclusions: The central motor drive to the eyes or finger muscles suppresses the motor excitability of the other finger muscles and the central motor drive to that muscle, but the central motor drive to the finger muscles does not influence those for the eyes. Forearm proprioception influences the motor excitability of the finger muscle and central motor drive to that muscle. Full article
(This article belongs to the Section Sensory and Motor Neuroscience)
20 pages, 4381 KiB  
Article
Polyvinylidene Fluoride (PVDF) and Nanoclay Composites’ Mixed-Matrix Membranes: Exploring Structure, Properties, and Performance Relationships
by Rund Abu-Zurayk, Nour Alnairat, Haneen Waleed, Mohammed Q. Al-Khaial, Aya Khalaf, Ayat Bozeya, Duaa Abu-Dalo, Sojoud Al-Yousef and Razan Afaneh
Polymers 2025, 17(8), 1120; https://doi.org/10.3390/polym17081120 (registering DOI) - 20 Apr 2025
Abstract
Polyvinylidene fluoride (PVDF) membranes have become a favored choice for membrane filtration because of their outstanding mechanical characteristics, chemical resistance, thermal stability, and ease of handling. Nevertheless, the hydrophobic nature of PVDF membranes can result in fouling, which diminishes their efficiency over time. [...] Read more.
Polyvinylidene fluoride (PVDF) membranes have become a favored choice for membrane filtration because of their outstanding mechanical characteristics, chemical resistance, thermal stability, and ease of handling. Nevertheless, the hydrophobic nature of PVDF membranes can result in fouling, which diminishes their efficiency over time. This study explores the impact of ZnO-Nanoclay on the properties and performance of mixed matrix membranes made from polyvinylidene fluoride (PVDF) at different loading percentages (0, 1, and 3 wt%). The ZnO-Nanoclay nanoparticles were synthesized using environmentally friendly methods, characterized, and blended into PVDF matrices via a solution-casting technique, resulting in a series of membranes. The synthesized nanoparticles were analyzed using Scanning Electron Microscopy (SEM) and X-ray diffraction (XRD). The resulting mixed-matrix membranes underwent comprehensive analyses to assess their structure and surface properties, employing SEM, XRD, Atomic Force Microscopy (AFM), and contact-angle measurements. Furthermore, tensile, antibacterial, and barrier properties were evaluated. Integrating ZnO-Nanoclay into PVDF membranes greatly improves antifouling properties, achieving inhibition rates of 99.92% at a clay-loading percentage of 3 wt% and increasing water-flux rates by 16% compared to pure PVDF membranes at 1 wt%. In addition, ZnO-Nanoclay nanoparticles significantly boost the mechanical properties of PVDF membranes, enhancing maximum strength by 500% at 3 wt% loading. This study examines the interplay between the structure, properties, and performance of mixed-matrix membranes by comparing different PVDF membranes that were mixed with different nanoclay composites, providing significant insights into improving these membranes through the incorporation of nanoclay composites to enhance their overall properties and effectiveness. Full article
(This article belongs to the Section Polymer Applications)
30 pages, 9763 KiB  
Article
Pore–Fracture Structure and Fractal Features of Carboniferous Taiyuan Formation Hydrocarbon Source Rocks as Investigated Using MICP, LFNMR, and FESEM
by Dun Wu, Liu Zhao, Guangqing Hu and Wenyong Zhang
Fractal Fract. 2025, 9(4), 263; https://doi.org/10.3390/fractalfract9040263 (registering DOI) - 20 Apr 2025
Abstract
The pore structure of reservoir rocks was a crucial factor affecting hydrocarbon production. Accurately characterized the micropore structure of different types of rock reservoirs was of great significance for unconventional natural gas exploration. In this study, multiple observation methods (field emission scanning electron [...] Read more.
The pore structure of reservoir rocks was a crucial factor affecting hydrocarbon production. Accurately characterized the micropore structure of different types of rock reservoirs was of great significance for unconventional natural gas exploration. In this study, multiple observation methods (field emission scanning electron microscope (FESEM) and low-field nuclear magnetic resonance (LFNMR)) and physical tests (mercury injection capillary pressure (MICP)) were employed, and double logarithmic plots for fractal fitting were illustrated. The fractal dimension of 15 samples was calculated using fractal theory to systematically investigate the pore–fracture structure and fractal characteristics of hydrocarbon source rock (limestone, mudstone, and sandstone) samples from the Late Carboniferous Taiyuan Formation in the Huainan coalfield. MICP experiments revealed that sandstone reservoirs had larger and more uniformly distributed pore throats compared to mudstone and limestone, exhibiting superior connectivity and permeability. The T2 spectrum characteristic maps obtained using LFNMR were also consistent with the pore distribution patterns derived from MICP experiments, particularly showed that sandstone types exhibited excellent signal intensity across different relaxation time periods and had a broader T2 spectrum width, which fully indicated that sandstone types possess superior pore structures and higher connectivity. FESEM experiments demonstrated that sandstone pores were highly developed and uniform, with sandstone fractures dominated by large fractures above the micrometer scale. Meanwhile, the FESEM fractal dimension results indicated that sandstone exhibits good fractal characteristics, validating its certain oil storage capacity. Furthermore, the FESEM fractal dimension exhibited a good correlation with the porosity and permeability of the hydrocarbon source rock reservoirs, suggesting that the FESEM fractal dimension can serve as an important parameter for evaluating the physical properties of hydrocarbon source rock reservoirs. This study enriched the basic geological theories for unconventional natural gas exploration in deep coal-bearing strata in the Huainan coalfield. Full article
23 pages, 640 KiB  
Article
Ambient Air Pollution and Semen Quality in China: A Nationwide Case-Control Study of 27,014 Males with Biomarker-Confirmed Semen Pathology
by Jianfeng Liu, Zhixiang Fang, Dongyue Chai, Zhipeng Zhu, Qunshan Shen and Xiaojin He
Toxics 2025, 13(4), 322; https://doi.org/10.3390/toxics13040322 (registering DOI) - 20 Apr 2025
Abstract
Amidst China’s rapid industrialization and deteriorating air quality, emerging evidence suggests a parallel decline in male reproductive health. However, large-scale assessments of pollution-semen quality associations remain scarce. This nationwide multicenter study investigated these relationships among 27,014 Chinese men using high-resolution satellite-derived exposure estimates [...] Read more.
Amidst China’s rapid industrialization and deteriorating air quality, emerging evidence suggests a parallel decline in male reproductive health. However, large-scale assessments of pollution-semen quality associations remain scarce. This nationwide multicenter study investigated these relationships among 27,014 Chinese men using high-resolution satellite-derived exposure estimates (PM2.5, PM10, NO2, O3, CO, and SO2) and generalized linear mixed models (GLMM), adjusting for key demographic confounders. A case-control study involving 5256 cases and 21758 controls used the exposure values of air pollutants 90 days prior to sperm collection for epidemiological exposure analysis reactions to obtain the association between sperm quality and air pollution. This study demonstrates significant associations between increased exposure to regional air pollutants and the risk of substandard semen quality in China. Key findings reveal NO2’s potential reproductive toxicity, showing a 79.7% increased risk of semen volume abnormalities per 11.34 µg/m3 exposure (OR = 1.797, 95% CI: 1.402–2.302). Susceptibility disparities emerged, with 16.4-fold greater PM2.5 sensitivity in obese individuals (OR = 1.121 vs. 1.007) and 133% higher PM10 risk in urban residents (OR = 1.342 vs. 1.006). Strikingly, SO2 exposure at 15% of the WHO 24 h average guideline (6.16 µg/m3) was associated with a 3.8% increase in abnormalities, indicating the challenge of the current safety thresholds. These findings highlight the need for policy reforms, including (1) incorporating reproductive health endpoints into air quality standards, (2) implementing antioxidant interventions for high-risk groups, and (3) strengthening traffic emission controls in urban planning. This study underscores the need for comprehensive strategies to mitigate the impact of air pollution on male reproductive health. Full article
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13 pages, 6225 KiB  
Article
Effect of Austenitizing on the Microstructure and Mechanical Properties of Gray Cast Iron
by Hongkui Zhang, Yipeng Lan, Zhe Ju, Shian Zhu, Xinming Liu, Yihan Hao and Guanglong Li
Appl. Sci. 2025, 15(8), 4548; https://doi.org/10.3390/app15084548 (registering DOI) - 20 Apr 2025
Abstract
This study enhanced the performance of gray cast iron through the precise control of the partial austenitizing temperature combined with an isothermal quenching process. The study investigated the effects of three austenitizing temperatures, namely 810 °C, 850 °C, and 900 °C, on the [...] Read more.
This study enhanced the performance of gray cast iron through the precise control of the partial austenitizing temperature combined with an isothermal quenching process. The study investigated the effects of three austenitizing temperatures, namely 810 °C, 850 °C, and 900 °C, on the microstructure and mechanical properties of gray cast iron. With the increase in austenitizing temperature, the transformation of pearlite to ausferrite was promoted, and the ausferrite content increased from 8.0% at 810 °C to 91.2% at 900 °C. Mechanical property tests showed that the specimen treated at 850 °C had the best comprehensive performance. Its tensile strength reached 332 MPa, an increase of 78.6% compared with the as-cast state. The elongation increased by 51.8%, and the wear depth under a 20 N load decreased from 250 μm to 2 μm. Specimens with a high ausferrite content exhibited stable low-friction characteristics due to the uniform hardness and the suppression of adhesive wear. However, an excessively high austenitizing temperature of 900 °C would lead to an increase in residual stress in the casting and deformation of the graphite structure, reducing the wear resistance. Under the established austenitizing temperature conditions, this study explored the relevant mechanisms for the performance improvement of gray cast iron by means of various testing methods, providing a theoretical basis and process reference for optimizing the material performance of explosion-proof equipment under harsh mining conditions. Full article
16 pages, 4239 KiB  
Article
Phylogenomics and Floristic Origin of Endiandra R.Br (Lauraceae) from New Caledonia
by Jiayi Song, Chengyan Shao, Zhi Yang and Yong Yang
Forests 2025, 16(4), 705; https://doi.org/10.3390/f16040705 (registering DOI) - 20 Apr 2025
Abstract
New Caledonia is a biodiversity hotspot with flora closely related to that of Australia and has received considerable attention. Endiandra (Cryptocaryeae; Lauraceae) is distributed from tropical Asia to Oceania, including New Caledonia, with northeastern Australia and New Guinea as diversity centers, but the [...] Read more.
New Caledonia is a biodiversity hotspot with flora closely related to that of Australia and has received considerable attention. Endiandra (Cryptocaryeae; Lauraceae) is distributed from tropical Asia to Oceania, including New Caledonia, with northeastern Australia and New Guinea as diversity centers, but the genus in New Caledonia remains understudied. Here, four species of Endiandra native to New Caledonia were sequenced, and their complete plastome sequences were analyzed. A plastome-based phylogenomic tree of Cryptocaryeae was reconstructed, and divergence times were estimated. The phylogenomic tree supports the monophyly of Endiandra. Interestingly, the species of Endiandra from New Caledonia were grouped into two separate subclades, with one subclade including three species and the other subclade containing only one species. The stem and crown ages of the first subclade were 33.18 Ma and 14.5 Ma, respectively, and the second subclade diverged by approximately 10.36 Ma. The structural characteristics of the newly sequenced plastomes were compared with those of Beilschmiedia species from different continents. The results indicate that the plastome sequences of the four species of Endiandra are longer than those of Beilschmiedia. Additionally, Endiandra has more simple sequence repeats (SSRs) than Beilschmiedia, though the difference is slight. The Guanine-Cytosine (GC) content of Endiandra was lower than that of Beilschmiedia. Five highly variable regions were identified, including matK-rps16, ycf1, petA-psbJ, petN-psbM, and ndhF. The Endiandra species in New Caledonia originated through long-distance dispersal followed by local divergence, rather than vicariance. Additionally, we identified at least two instances of floristic exchange between New Caledonia and Australia. Our study provides further evidence for understanding the biogeographic history between these two regions. Full article
(This article belongs to the Special Issue Forest Tree Breeding: Genomics and Molecular Biology)
15 pages, 665 KiB  
Review
Utilization of Platelet-Rich Plasma in Oral Surgery: A Systematic Review of the Literature
by Andrea Giannelli, Marta Forte, Giuseppe D’Albis, Giulia Cianciotta, Luisa Limongelli, Laura Stef, Ramona Feier, Abdulrahman Omar Alrashadah, Massimo Corsalini and Saverio Capodiferro
J. Clin. Med. 2025, 14(8), 2844; https://doi.org/10.3390/jcm14082844 (registering DOI) - 20 Apr 2025
Abstract
Introduction: The physiological process of wound healing is a complex and dynamic series of events that aims to restore damaged tissues to their original structure and function. Platelet-rich plasma (PRP), an autologous blood-derived product, is characterized by a high concentration of platelets [...] Read more.
Introduction: The physiological process of wound healing is a complex and dynamic series of events that aims to restore damaged tissues to their original structure and function. Platelet-rich plasma (PRP), an autologous blood-derived product, is characterized by a high concentration of platelets suspended in a small volume of plasma, along with a complete array of coagulation factors at physiological concentrations. Beyond platelets, PRP contains a significant quantity of bioactive growth factors, such as platelet-derived growth factor (PDGF), vascular endothelial growth factor (VEGF), and transforming growth factor-beta (TGF-β), all of which are crucial mediators of tissue repair and osteogenesis. Due to these properties, PRP has garnered considerable attention in oral surgery, where the efficient regeneration of both hard and soft tissues is critical for the optimal therapeutic outcomes. Objectives: This systematic review aimed to critically evaluate the efficacy of PRP in oral surgical procedures, with particular emphasis on its role in the regeneration of both soft and hard tissues, as well as its clinical outcomes. Furthermore, the review sought to identify the diverse surgical applications of PRP and assess the impact of its use in conjunction with grafting materials on regenerative outcomes. Methods: A comprehensive systematic review was conducted, analyzing articles published within the last decade regarding the application of PRP in oral surgery, specifically focusing on periodontal, regenerative, and implant-related procedures. Studies were selected based on rigorous inclusion criteria, assessing the utilization of PRP across different clinical settings. Results: Fourteen relevant studies were included, which were categorized as follows: four studies involving implant surgery, three studies focusing on third molar extractions, two studies on regenerative surgery, two studies addressing periodontal surgery, one study examining intrabony periodontal defects, and two studies on ridge augmentation procedures. The majority of studies reported modest improvements in clinical parameters such as periodontal probing depth and clinical attachment level (CAL). Furthermore, significant positive outcomes were observed in soft tissue healing, with notable enhancements in bone density. These results suggest that PRP may facilitate the healing process, particularly in soft tissues, while also promoting bone regeneration to a degree. Conclusions: The findings of this systematic review underscore the potential of PRP as a valuable adjunct in oral surgery, demonstrating significant benefits in the regeneration of soft tissues and, to a lesser extent, hard tissues. Notably, the standalone application of PRP did not yield substantial improvements in regenerative outcomes. However, when PRP was used in combination with grafting materials, more pronounced benefits were observed, indicating a synergistic effect that enhances both soft and hard tissue regeneration. These findings support the rationale for incorporating PRP into clinical practice, particularly in conjunction with grafting materials, to optimize patient outcomes in oral surgery. Further research, particularly involving larger sample sizes and long-term follow-ups, is necessary to fully elucidate the optimal clinical applications and mechanistic pathways of PRP in oral regenerative procedures. Full article
(This article belongs to the Section Dentistry, Oral Surgery and Oral Medicine)
17 pages, 638 KiB  
Review
Exploring the Science of Shape: How Physical Activity, Sleep, and Stress Affect Body Composition
by Krystian Maruszczak, Wojciech Kasperek, Konrad Kustra, Joanna Baran and Maciej Kochman
Healthcare 2025, 13(8), 949; https://doi.org/10.3390/healthcare13080949 (registering DOI) - 20 Apr 2025
Abstract
In the contemporary context of health challenges, the focus on physical health has become a social and individual priority. Within this framework, body composition emerges as one of the key determinants of physical health, with deviations from normal body composition being associated with [...] Read more.
In the contemporary context of health challenges, the focus on physical health has become a social and individual priority. Within this framework, body composition emerges as one of the key determinants of physical health, with deviations from normal body composition being associated with numerous pathological conditions that can lead to serious health issues. Consequently, there is an urgent need to synthesize the available knowledge and increase awareness regarding healthy body composition and the factors that shape its components. This narrative review aims to summarize the knowledge regarding the main components of body composition and the key factors that influence their development. The fundamental morphological characteristics and functions of the primary components of body composition—including adipose tissue, muscle mass, and bone tissue—are addressed. Furthermore, the available methods for assessing body composition are outlined. The role of three key factors that influence body composition is outlined, including, but not limited to, physical activity, sleep quality, and stress levels. Additionally, hormonal fluctuations that determine body composition in relation to the variability of these factors are discussed. The review provides evidence-based information that will be valuable both for disease prevention related to non-communicable diseases and for the promotion of health strategies aimed at long-term physical well-being. Full article
19 pages, 1570 KiB  
Article
Design and Implementation of a Scalable Data Warehouse for Agricultural Big Data
by Asterios Theofilou, Stefanos A. Nastis, Michail Tsagris, Santiago Rodriguez-Perez and Konstadinos Mattas
Sustainability 2025, 17(8), 3727; https://doi.org/10.3390/su17083727 (registering DOI) - 20 Apr 2025
Abstract
The rapid growth of agricultural data necessitates the development of storage systems that are scalable and efficient in storing, retrieving and analyzing very large datasets. The traditional relational database management systems (RDBMSs) struggle to keep up with large-scale analytical queries due to the [...] Read more.
The rapid growth of agricultural data necessitates the development of storage systems that are scalable and efficient in storing, retrieving and analyzing very large datasets. The traditional relational database management systems (RDBMSs) struggle to keep up with large-scale analytical queries due to the volume and complexity inherent in those data. This study presents the design and implementation of a scalable data warehouse (DWH) system for agricultural big data. The proposed solution efficiently integrates data and optimizes data ingestion, transformation, and query performance, leveraging a distributed architecture based on HDFS, Apache Hive, and Apache Spark, deployed on dockerized Ubuntu Linux environments. This paper highlights the reasons why a DWH is irreplaceable for big data processing, without disputing the strengths of traditional databases in transactional use cases. By detailing the architectural choices and implementation strategy, this study provides a practical framework for deploying robust DWH solutions that are useful in supporting agricultural research, market predictions and policy decision-making. Full article
10 pages, 2069 KiB  
Article
Bacillus velezensis as a Novel Species for Mosquito Control: Impacts of Exposure on Key Life History Traits of Culex quinquefasciatus
by Abdullah A. Alomar
Insects 2025, 16(4), 434; https://doi.org/10.3390/insects16040434 (registering DOI) - 20 Apr 2025
Abstract
Bacillus velezensis is a promising mosquito vector biocontrol agent due to its potent larvicidal properties. This study investigated the lethal and sublethal effects of exposure to crude toxin of B. velezensis strain WHk23 on Culex quinquefasciatus. Toxicity bioassays showed a median lethal [...] Read more.
Bacillus velezensis is a promising mosquito vector biocontrol agent due to its potent larvicidal properties. This study investigated the lethal and sublethal effects of exposure to crude toxin of B. velezensis strain WHk23 on Culex quinquefasciatus. Toxicity bioassays showed a median lethal concentration of 28.30 µg/mL for third instar larvae. In addition to direct larval mortality, sublethal exposures resulted in concentration-dependent decreases in survival, fecundity, and fertility. Exposure to different concentrations was found to accelerate larval development, resulting in larger females, yet those females exhibited lower lifespan and diminished reproductive success. These results suggest that exposure to B. velezensis not only reduces mosquito populations but also has lasting effects on important life history parameters, ultimately lowering vectorial capacity and disease transmission risk. This study provides valuable insights into the lethal and sublethal consequences of B. velezensis exposure. Given its potent larvicidal properties, B. velezensis represents a promising biocontrol agent for mosquito vectors. Full article
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17 pages, 4081 KiB  
Article
Accuracy Performance of Open-Core Inductive Voltage Transformers at Higher Frequencies
by Josip Ivankić, Igor Žiger, Bruno Jurišić and Dubravko Franković
Energies 2025, 18(8), 2121; https://doi.org/10.3390/en18082121 (registering DOI) - 20 Apr 2025
Abstract
The new revision of the main instrument transformer standard, IEC 61869-1:2023, premiered requirements for the performance of instrument transformers in terms of transfer accuracy at higher frequencies. Five accuracy class extensions were introduced to establish an explicit performance level. Each of the extension [...] Read more.
The new revision of the main instrument transformer standard, IEC 61869-1:2023, premiered requirements for the performance of instrument transformers in terms of transfer accuracy at higher frequencies. Five accuracy class extensions were introduced to establish an explicit performance level. Each of the extension levels has a distinct bandwidth and accuracy performance associated with it. While these requirements are mainly aimed at non-conventional instrument transformers, the hypothesis of this paper is that conventional high-voltage instrument transformers can have a performance conformant to the above-mentioned requirements. Specifically, the focus of this paper will be on open-core inductive voltage transformers, which inherently exhibit an improved frequency response in comparison to their conventional closed-core counterparts. The main aim of this paper is to present a relevant transformer model based on a lumped parameter equivalent diagram. This model considers the actual mutual coupling (both capacitive and inductive) of the transformer windings. The model is created in EMTP software, and the output yields a frequency response characteristic of the transformer. The model will be validated with test results obtained through measurements on actual 123 kV, 245 kV, and 420 kV inductive voltage transformers. Full article
(This article belongs to the Special Issue Energy, Electrical and Power Engineering: 3rd Edition)
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23 pages, 3094 KiB  
Review
How the Built Environment Shapes Children’s Microbiome: A Systematic Review
by Rozalynne Samira, Muntazar Monsur and Nazia Afrin Trina
Microorganisms 2025, 13(4), 950; https://doi.org/10.3390/microorganisms13040950 (registering DOI) - 20 Apr 2025
Abstract
This systematic review aims to synthesize key empirical findings to understand how various elements of the built environment influence the microbiome concerning children’s health and well-being. A comprehensive literature search was conducted across multiple databases, focusing on studies that examined the relationship between [...] Read more.
This systematic review aims to synthesize key empirical findings to understand how various elements of the built environment influence the microbiome concerning children’s health and well-being. A comprehensive literature search was conducted across multiple databases, focusing on studies that examined the relationship between built environment factors and the microbiome aspects of childhood. A total of 42 studies were included in the final systematic review. We analyzed these studies from a range of different lenses, starting with basic research questions and variables to types of built environments, age groups of children, sampling strategy, bioinformatics, and the biological methods utilized. This review highlights a growing emphasis on children’s exposure to nature within built environments and its potential to beneficially alter the microbiome, with 38% of studies addressing this link. It also identifies a significant research gap in connecting built environment design features (landscape and/or architectural) to microbiome outcomes and associated health, behavioral, and mental health impacts on children. The findings indicate that interventions aimed at improving the built environment quality via design could foster healthier microbiomes in children’s environments. This review underscores the need for interdisciplinary research and policy initiatives that integrate microbiome science with built environment design to promote children’s health and well-being. Full article
(This article belongs to the Special Issue Microbiota: From the Environment to Humans, 2nd Edition)
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18 pages, 1310 KiB  
Article
Cost-Effectiveness Analysis of Contemporary Advanced Prostate Cancer Treatment Sequences
by Valentyn Litvin, Armen G. Aprikian and Alice Dragomir
Curr. Oncol. 2025, 32(4), 240; https://doi.org/10.3390/curroncol32040240 (registering DOI) - 20 Apr 2025
Abstract
There has been a proliferation of novel treatments for the management of advanced prostate cancer (PCa), including androgen receptor pathway inhibitors (ARPI). Although there are health economic analyses of novel PCa treatments, such as ARPIs for specific health states, there is a lack [...] Read more.
There has been a proliferation of novel treatments for the management of advanced prostate cancer (PCa), including androgen receptor pathway inhibitors (ARPI). Although there are health economic analyses of novel PCa treatments, such as ARPIs for specific health states, there is a lack of sequential analyses. Our paper aims to fill this gap. We developed a Monte Carlo Markov model to simulate the management of advanced PCa to end-of-life. We modeled patients who begin in metastatic and nonmetastatic castration-sensitive PCa (mCSPC and nmCSPC), with risk stratification for mCSPC, progressing to metastatic castration-resistant PCa (mCRPC). Using current guidelines and recent literature, we simulated admissible treatment sequences over these states along a 15-year horizon. We report the best treatment sequences in terms of efficacy and cost-effectiveness. We find that the most cost-effective use of ARPIs is early in advanced PCa for a cost-effectiveness threshold (CET) of CAD 100K per QALY. For a CET of CAD 50K per QALY, early ARPI use is most cost-effective in mCSPC-starting patients but not nmCSPC-starting. We conclude that the most cost-effective way to use ARPIs is when patients first enter advanced PCa. The most cost-effective ARPI at current Canadian prices is abiraterone, mostly due to abiraterone’s lower price level. Full article
(This article belongs to the Section Health Economics)
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