Search Results (2,032)

Metabolic syndrome (MetS) is a multifactorial disorder characterized by central obesity, insulin resistance, dyslipidemia, and hypertension, all of which increase the risk of type 2 diabetes and cardiovascular diseases. This study investigates the potential complementary effects of the standardized green and black ADM ComplexTea Extract (CTE) and the heat-treated postbiotic (BPL1^® HT) on the cardiometabolic alterations associated with MetS in a murine model. C57BL/6J mice were fed a high-fat/high-sucrose (HFHS) diet and treated with CTE, BPL1^® HT, or their combination for 20 weeks. Metabolic, inflammatory, oxidative, vascular parameters, and fecal microbiota composition were assessed. Both CTE and BPL1^® HT individually attenuated weight gain, organ hypertrophy, insulin resistance, and inflammation. However, their combined administration exerted synergistic effects, fully normalizing body weight, adipocyte size, lipid profiles, HOMA-IR index, and insulin sensitivity to levels comparable to lean controls. Co-treatment also restored PI3K/Akt signaling in liver and muscle, reduced hepatic steatosis, and normalized the expression of inflammatory and oxidative stress markers across multiple tissues. Furthermore, vascular function was significantly improved, with enhanced endothelium-dependent relaxation and reduced vasoconstrictor responses, particularly to angiotensin II. CTE, BPL1^®HT, and the blend prevented bacterial richness reduction caused by HFHS; the blend achieved higher bacterial richness than mice in Chow diet. Additionally, the blend prevented the increase in Flintibacter butyricus, which is associated with MetS clinical parameters, and showed a tendency to increase the abundance of Bifidobacterium. These findings suggest that the combination of CTE and BPL1^® HT offers a potential nutritional strategy to counteract the metabolic and cardiovascular complications of MetS through complementary mechanisms involving improved insulin signaling, reduced inflammation and oxidative stress, enhanced vascular function, and modulation of gut microbiota. Full article

The financial services sector is experiencing unprecedented transformation through the adoption of virtualization technologies, encompassing cloud computing and edge computing digitalization initiatives that fundamentally alter operational paradigms and competitive dynamics within the industry. This systematic literature review employed a comprehensive methodology, analyzing peer-reviewed articles, systematic reviews, and industry reports published between 2016 and 2025 across three primary technological domains, utilizing thematic content analysis to synthesize findings and identify key implementation patterns, performance outcomes, and emerging challenges. The analysis reveals consistent evidence of positive long-term performance outcomes from virtualization technology adoption, including average transaction processing time reductions of 69% through edge computing implementations, substantial operational cost savings and efficiency improvements through cloud computing adoption, while simultaneously identifying critical challenges related to regulatory compliance, security management, and organizational transformation requirements. Virtualization technology offers transformative potential for financial services through improved operational efficiency, enhanced customer experience, and competitive advantage creation, though successful implementation requires sophisticated approaches to standardization, regulatory compliance, and change management, with future research needed to develop integrative frameworks addressing technology convergence and emerging applications in decentralized finance and digital currency systems. Full article

The integration of environmental, social, and governance (ESG) principles into investment strategies represents a potential pathway for advancing financial sustainability and long-term market resilience. The usage of ESG screening techniques in portfolio construction is currently a subject of debate among practitioners and policymakers. This paper introduces a methodology that incorporates ESG scores into a low-volatility, Standard & Poor’s 500 index-based strategy without relying on traditional exclusionary screening. Rather than removing firms based solely on low ESG scores, we treat ESG as a predictive sustainability factor in identifying firms likely to experience extreme return volatility in the subsequent year, using a probit model and Fama–Macbeth estimation techniques. Firms with high ESG scores are found to be less likely to exhibit such behavior, suggesting an inverse relationship between ESG and risk. Our results show that portfolios constructed using this approach achieve higher average ESG scores, maintain returns equivalent to the benchmark, and reduce annualized return volatility by approximately 1.0%, a statistically significant reduction. By reframing ESG from a moral filter into a measurable risk mitigation mechanism, this study demonstrates how sustainability integration can enhance portfolio stability while supporting both financial and societal objectives. The proposed framework offers practical alternative for investors seeking exposure to sustainability-focused strategies while preserving traditional performance objectives. Full article

Organoids are three-dimensional multicellular structures that mimic key aspects of native tissues consisting ideal tools to study organ development and pathophysiology when incorporated in customized bioscaffolds. In vivo, the extracellular matrix (ECM) maintains tissue integrity and regulates cell adhesion, migration, differentiation, and survival through biochemical and mechanical signals. Tissue-derived decellularized extracellular matrix (dECM) can preserve organ-specific biochemical signals and cell-adhesive motifs, creating a bioactive environment that supports physiologically relevant organoid growth. 3D bioprinting technology marks a transformative phase in organoid research by enhancing the structural and functional complexity of organoid models and expanding their application in pharmacology and regenerative medicine. These systems enhance tissue modeling and drug testing while adhering to the principles of animal replacement, reduction, and refining (3Rs) in research. Remaining challenges include donor variability, limited mechanical stability, and the lack of standardized decellularization protocols that can be addressed by adopting quality and safety metrics. The combination of dECM-based biomaterials and 3D bioprinting holds great potential for the development of human-relevant, customizable, and ethically sound in vitro models for regenerative medicine and personalized therapies. In this review, we discuss the latest (2021–2025) developments in applying extracellular matrix bioprinting techniques to organoid technology, presenting examples for the most commonly referenced organoid types. Full article

(1) Background: Zinc is an essential micronutrient involved in immune regulation, epithelial barrier integrity, and the host response to bacterial infections. However, the clinical benefits of zinc supplementation across different age groups remain uncertain, with heterogeneous findings and variable dosing strategies reported in the literature. (2) Objectives: To map and summarize randomized controlled trials (RCTs) evaluating zinc supplementation (either as treatment or prophylaxis) for bacterial infection outcomes in neonates, children, and adults, and to identify gaps requiring further research, including the use of zinc-based nanoparticles. (3) Eligibility Criteria: We included English-language RCTs that evaluated zinc supplementation and reported clinical outcomes related to bacterial infections. Observational studies, trials without infection-related outcomes, and studies not involving human participants were excluded. (4) Sources of Evidence: A MEDLINE (PubMed) search was conducted from 2000 to 1 November 2025 using predefined keywords related to zinc supplementation, neonates, children, adults, and bacterial infections. Reference lists of eligible articles were screened to identify additional studies. (5) Charting Methods: Data were charted for each included study, including population characteristics, zinc dosing and regimen, type of supplementation (therapeutic or prophylactic), main infection-related outcomes, and key findings. Data charting was performed independently and verified within the research team. (6) Results: A total of 51 RCTs were included: 10 in neonates, 32 in children, and 9 in adults. In neonates, therapeutic zinc supplementation as an adjunct to antibiotics showed heterogeneous results, with some studies reporting reductions in morbidity, inflammatory markers or mortality, while others found no significant differences in clinical outcomes. In children, zinc supplementation consistently reduced the duration and severity of diarrheal episodes and, in several trials, improved the resolution of respiratory infections. In adults, the evidence was limited but suggested potential benefits in selected populations, such as burn patients or those with zinc deficiency or immunologic dysfunction. Variability in zinc dosage, treatment duration, and outcome definitions limits direct comparison across studies. (7) Conclusions: Zinc supplementation appears to provide benefits in neonates and children, whereas evidence in adults remains mixed and inconclusive. Standardized, well-powered RCTs are needed to define optimal dosing strategies, identify populations most likely to benefit, and clarify the mechanisms underlying zinc’s anti-infective effects. Future research should consider the use of zinc oxide nanoparticles (ZnO-NPs) demonstrated broad-spectrum antimicrobial activity and potential synergy with antibiotics, although clinical data remain still limited. Full article

Background/Objectives: Traditional semen analysis techniques frequently result in incorrect male infertility diagnoses, despite advancements in assisted reproductive technology (ART). Reduced fertilization potential, decreased embryo development, and lower pregnancy success rates are associated with elevated DNA Fragmentation Index (DFI), which has been proposed as a diagnostic indicator of sperm DNA integrity. Improving reproductive outcomes requires incorporating DFI into predictive models due to its diagnostic importance. Methods: In this study, semen samples were stratified into low and high DFI groups across two datasets: the “Reference” dataset (162 samples) containing sperm motility (A, B, and C), total sperm count, and morphology percentage, and the “ORP” dataset (37 samples) with the same features plus oxidation-reduction potential (ORP). We trained and evaluated four machine learning (ML) models—Logistic Regression, Support Vector Machines (SVM), Bernoulli Naive Bayes (BNB), and Random Forest (RF)- using three feature subsets and three preprocessing techniques (Robust Scaling, Min-Max Scaling, and Standard Scaling). Results: Feature subset selection had a significant impact on model performance, with the full feature set (X_all) yielding the best results, and the combination of Robust and MinMax scaling forming the most effective preprocessing pipeline. Conclusions: ORP proved to be a critical feature, enhancing model generalization and prediction performance. These findings suggest that data enrichment, particularly with ORP, could enable the development of ML frameworks that improve prognostic precision and patient outcomes in ART. Full article

The development of a metalloenzyme-like catalytic system for the efficient oxidation of olefins under a dioxygen (O₂) atmosphere at room temperature is of significant interest in the field of catalysis. Herein, we present a highly active and selective aerobic epoxidation of olefins using metalloenzyme-like catalysts based on a non-heme ligand, tris(2-pyridylmethyl)amine (TPA). Notably, manganese chloride complexed with TPA (Mn(TPA)Cl₂) demonstrated excellent activity for the epoxidation of trans-stilbene using O₂ as the oxidant in the presence of a co-reductant at 30 °C. A quantitative conversion of 99% and high yield of 98%, as determined by gas chromatography using an external standard method, were achieved under optimum reaction conditions. Furthermore, Mn(TPA)Cl₂ exhibited a good substrate tolerance to styrene derivatives with electron-withdrawing or electron-donating groups, cyclic olefins with different substituents and substitution degrees, as well as long-chain olefins. Coupled with a high turnover frequency (TOF) of up to 30,720 h⁻¹, these results underscore the potential of Mn(TPA)Cl₂ as a promising metalloenzyme-like catalytic platform for the aerobic synthesis of diverse epoxides from olefins under ambient conditions. Full article

Radiotherapy (RT) is currently among the standard treatments for lung cancer. However, in vitro studies have revealed that irradiation can increase lung cancer cell motility. This way, RT could potentially enhance the malignancy of solid tumors post-treatment, promoting metastasis. Therefore, there is a continued need to continue evolving RT modalities into safer and more effective treatments. The present study compares the impact of the broad beam (BB) and the spatially fractionated modality of microbeam radiation therapy (MRT) on the motility of A549 lung cancer cells. Our data corroborates previous findings that showed BB irradiation is a promoter of cell motility. For MRT, however, we observed a prevention of cellular migration. A significant reduction in NF-κB expression was observed only when A549 cells were irradiated with MRT, indicating a potential mechanism behind these findings. Finally, our data supports potential issues regarding MRT irradiation of key components of the tumor microenvironment, such as fibroblasts. Co-culturing A549 cells with MRT-irradiated MRC-5 lung fibroblasts led to increased tumor cell invasion, not observed when the fibroblasts received BB irradiation. Full article

The rising global incidence of Candida parapsilosis infections is increasingly complicated by antifungal resistance, resulting in frequent therapeutic failure. This study investigated the potential of the natural compound catechin to enhance the efficacy of fluconazole through synergistic interaction. We evaluated the susceptibility of C. parapsilosis clinical isolates and a reference strain to combinations of catechin and fluconazole using standardized microbiological assays and molecular techniques. In vivo efficacy was assessed using the Galleria mellonella infection model. Mechanistic studies included the measurement of intracellular reactive oxygen species (ROS) production and plasma membrane permeability. Catechin alone caused growth retardation in all strains. However, the combination of catechin and fluconazole resulted in complete growth inhibition of the reference strain and significant growth reduction in azole-resistant clinical isolates. While the combination slightly increased intracellular ROS production, no significant changes in plasma membrane permeability or membrane potential were observed. Notably, catechin induced the expression of the resistance-associated genes CpTAC1 and CpCDR1B in resistant isolates. In vivo experiments demonstrated that catechin significantly reduced mortality in G. mellonella larvae infected with C. parapsilosis. These findings suggest that catechin is a promising candidate for developing synergistic antifungal therapies against resistant Candida species. Full article

Some mining sites generate acid mine drainage (AMD)—a highly acidic, metal-rich waste stream that affects bodies of water. Passive treatment systems are widely being adapted, particularly for abandoned or closed mines, due to their cost-effectiveness and lower environmental impact. However, novel strategies and approaches still need to be developed, especially in their implementation. Through batch experiments, this study identifies the effective sequence of three locally available treatment media, namely limestone (LS), steel slag (SS), and activated carbon (AC), using various water quality and pollution indices (WQPIs). The performance of the sequences was assessed based on their ability to improve various in situ parameters (pH, oxidation–reduction potential (ORP), dissolved oxygen (DO), and electrical conductivity (EC)) and their efficiency in removing Fe, Mn, Cu, and SO₄²⁻. Six sequences of media were identified and ranked by calculating a score based on comparisons with the Philippine General Effluent Standard (GES) by normalization and specific WQPIs for AMD and AMD-impacted waters, such as the CCMEWQI, MAMDI, and WPI-AMD. Analysis showed that the sequence of LS-AC-SS and SS-LS-AC yielded the highest removal for heavy metals (98.78% for Fe and Mn and 89.92% for Cu). However, limited removal of SO₄²⁻ was observed (14.96%), which suggests that additional treatment beyond the materials explored must be considered. Considering all the parameters and assessing them through normalization and WQPIs, the sequence of SS-LS-AC achieved the overall best treatment performance. Differences were observed in the ranking between the methods, with WQPIs successfully capturing actual water quality, demonstrating its robustness as an assessment tool. This study shows that the treatment media sequence is a factor in treating AMD, specifically utilizing AC, SS, and LS. Full article

Background/Objectives: The rapid development of biopharmaceuticals has heightened attention from both industry and regulatory agencies toward product quality, particularly regarding subvisible particles as a critical quality attribute. Existing pharmacopoeial methods, Light Obscuration (LO) and Microscopic Particle Count (MC), exhibit limitations in meeting increasingly refined analytical requirements. Flow Imaging Microscopy (FIM) technology shows promise as an alternative, yet its standardized methodologies are still under development. Methods: This study employed polystyrene microsphere standard beads and intravenous immunoglobulin to perform instrument standardization and consistency evaluations on FIM instruments sharing the same operating principles but from different manufacturers. The consistency and transferability of particle counting across platforms were assessed. Additionally, particle images obtained from parallel testing on two platforms were classified using confusion matrices based on convolutional neural networks and the Unified Manifold Approximation and Projection (UMAP) dimensionality reduction method. Results: This study investigated the consistency and developed a transfer strategy for particle counting results across different FIM platforms. Analysis of particle image classification confirmed the consistency of image-based categorization while also revealing the complexity associated with cross-platform image recognition. Conclusions: The findings provide valuable insights for the further standardization of Flow Imaging Microscopy, supporting its potential as a reliable analytical tool for subvisible particle analysis in biopharmaceutical quality control. Full article

Ruminant livestock production faces increasing pressure to reduce environmental impacts while maintaining productivity and food security. This comprehensive review examines current strategies and emerging technologies for enhancing environmental sustainability in ruminant systems. The review synthesizes recent advances across four interconnected domains: genetic and genomic approaches for breeding environmentally efficient animals, rumen microbiome manipulation, nutritional strategies for emission reduction, and precision management practices. Specifically, genetic and genomic strategies demonstrate significant potential for long-term sustainability improvements through selective breeding for feed efficiency, methane reduction, and enhanced longevity. Understanding host–microbe interactions and developing targeted interventions have also shown promising effects on optimizing fermentation efficiency and reducing methane production. Key nutritional interventions include dietary optimization strategies that improve feed efficiency, feed additives, and precision feeding systems that minimize nutrient waste. Furthermore, management approaches encompass precision livestock farming technologies including sensor-based monitoring systems, automated feeding platforms, and real-time emission measurement tools that enable data-driven decision making. Integration of these approaches through system-based frameworks offers the greatest potential for achieving substantial environmental improvements while maintaining economic viability. In addition, this review identifies key research gaps including the need for standardized measurement protocols, long-term sustainability assessments, and economic evaluation frameworks. Future directions emphasize the importance of interdisciplinary collaboration, policy support, and technology transfer to accelerate adoption of sustainable practices across diverse production systems. Full article

This study systematically examines the policy and technological pathways for the sustainable development of China’s 3D printing industry under the “Dual Carbon” goals. A three-dimensional sustainability framework is developed, integrating resource efficiency, environmental performance, and socio-economic value. Based on this framework, the study conducts a full-process analysis covering design, material preparation, manufacturing, post-processing, use, and recycling stages. The analysis identifies key carbon-reduction mechanisms of 3D printing, including material savings, reduced energy consumption, lightweight-enabled emission reduction, and distributed manufacturing. A comparative analysis of China, the European Union, and the United States reveals major constraints in China’s 3D printing sector, particularly in top-level policy design, standardization systems, legal frameworks, industrial coordination, and low-carbon core technologies. Based on these findings, the study proposes a dual-driven development pathway integrating policy optimization and technological innovation. From an institutional perspective, this pathway emphasizes green policy incentives, including strategic planning, standard setting, green finance, and collaborative governance. From a technological perspective, it highlights the importance of low-carbon material development, refined energy-efficiency management, life-cycle carbon accounting platforms, and value creation across the product life cycle. Overall, the study demonstrates that effective policy–technology synergy is essential for transforming theoretical carbon-reduction potential into scalable and practical outcomes, providing a systematic analytical framework for academic research and actionable guidance for policymakers and industry stakeholders. Full article

Background: China is currently developing standards for Food for Special Medical Purposes (FSMP) targeting for oncology patients. However, substantial challenges remain in defining optimal fortification levels of omega-3 polyunsaturated fatty acids (ω-3 PUFAs). Accumulating evidence suggests that ω-3 PUFA intake improves postoperative prognosis by modulating oncological parameters in colorectal cancer (CRC) patients. This meta-analysis aimed to evaluate the therapeutic efficacy of ω-3 PUFA supplementation in enhancing postoperative safety and recovery stability following CRC surgery, to address critical gaps in nutritional interventions for optimizing clinical outcomes. These findings are expected to FSMP standard development, clinical nutrition protocols and product innovation. Methods: A systematic literature search was conducted, in accordance with PRISMA guidelines, across major databases until June 16, 2025. Data were analyzed using RevMan v5.4 (Cochrane Collaboration). Results: Thirty-four randomized controlled trials (RCTs) (n = 2889) were included. Compared to controls, the ω-3 PUFAs group showed significantly increased levels of nutritional markers: total protein (p < 0.00001), albumin (p = 0.001); immunological parameters: CD3⁺/CD4⁺/CD8⁺ T-cells, CD4⁺/CD8⁺ ratio (all p < 0.0001); Karnofsky Performance Status (KPS) scores (p = 0.04); and serum ω-3 PUFA concentrations (p = 0.0004). Significant reductions were observed in inflammatory markers, such as procalcitonin, C-reactive protein (CRP), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α) (p = 0.004 to < 0.00001); and clinical outcomes, such as hospitalization duration (p < 0.00001), infectious complications (p < 0.00001), anastomotic leakage (p = 0.0005), surgical site infections (p = 0.03). No significant intergroup differences were detected for white blood cells, transcription factor activity, mortality, or crypt cell proliferation indices (p = 0.06–0.55). Conclusions: Overall, ω-3 PUFA supplementation significantly attenuates postoperative inflammation, enhances immune function, shortens hospitalization, and improves the quality of life in CRC patients, though without mortality benefit. Notably, post hoc dose–response analysis identified a supplementation range of 0.16–0.30 g/kg/day as a potentially optimal supplementation range for Chinese CRC populations, providing foundational evidence for clinical practice and FSMP standardization. Full article

Background/Objectives: Psychological stress is a common problem but hard to universally treat. Personalized (N-of-1) trials assess a participant’s response to multiple specific interventions. Though personalized (N-of-1) trials have been used in select interventions, no prior research has examined whether N-of-1 designs provide superior stress reduction relative to standard of care. Methods: Participants were randomized to personalized N-of-1 (N = 106) or standard-of-care (N = 106) arms for three stress-management interventions (mindfulness meditation; yoga; brisk walking). All participants completed ecological momentary assessments (EMA) of stress three times daily for 18 weeks (2-week baseline, 12-week intervention, 2-week assessment, and 2-week follow-up). After the intervention, participants in the N-of-1 arms received a personalized report identifying which intervention worked best for them. All participants chose one intervention to manage their stress during follow-up. The primary outcome was change in perceived stress between baseline and follow-up. Results: Participants in the personalized (N-of-1) arms did not report significantly reduced EMA stress levels relative to standard-of-care (p = 0.496), though the effect was stronger among N-of-1 participants who chose the stress-management intervention recommended by their report [B(SE) = −0.67(0.34); p = 0.049]. Conclusions: Results show the potential of personalized (N-of-1) trials to provide individuals with information unique to them to help identify interventions for stress management. However, many participants in the personalized trial arms did not choose the intervention recommended by their trial. Additional research is required to refine how personalized (N-of-1) trials are conducted and how trial results are reported to participants to ensure the maximal benefit of these trial designs. Full article