Search Results (6,263)

This study investigated the technological, nutritional, and sensory effects of incorporating soybean flour and radish leaves into steamed manti, with emphasis on moisture-loss kinetics, protein denaturation, true retention (TR), and relative nutrient density (RND). Four formulations were examined: potato control (PC), potato + soy (PS), greens control (GC), and greens + soy (GS). Steaming induced compositional increases in dry matter, ash, protein, and fat due to moisture reduction rather than absolute changes in solids. Greens-based formulations exhibited significantly lower moisture-loss and protein-denaturation rate constants, indicating stronger hydration stability and structural resistance during thermal processing. These kinetic advantages translated into higher TR values for protein and fat in GC and GS compared with potato-based samples. Soy flour substantially increased protein and lipid content and improved dough cohesiveness but did not influence thermal behavior or moisture-loss kinetics within the same matrix. When nutrient delivery was normalized to energy content, soy- and greens-enriched manti showed the highest RND values, reflecting a favorable combination of nutrient retention and lower caloric density. Sensory evaluation confirmed that soy enhanced textural attributes, while radish leaves contributed desirable juiciness and aroma. Overall, the combined use of radish leaves and soybean flour offers a sustainable approach to producing nutrient-dense, sensory-acceptable traditional foods while supporting the valorisation of leafy by-products. Full article

Background: Patient-centered care (PCC) is a cornerstone of quality, yet its translation into managerial decision-making remains underexplored. Middle nurse managers (MNMs) play a pivotal role in enabling patient-centeredness, but their perspectives on PCC decisions are rarely investigated. Aim: This study explored MNMs’ perceptions of what constitutes a patient-centered decision in hospital settings and identified the essential dimensions underpinning such decisions. Methods: A qualitative descriptive design was adopted using semi-structured interviews. Thirty-eight MNMs from three hospitals in central Italy were included. Data were analyzed using Elo and Kyngäs’ content analysis approach. Results: Two overarching themes emerged as central to patient-centered managerial decision-making (PCMDM): “Meaning and definition of PCMDM,” and “Influencing dimensions of PCMDM”. MNMs described PCMDM as an evolving and adaptable process shaped by patient needs and organizational constraints and unfolding across distinct phases. Key influencing dimensions included the manager’s role, organizational environment, human resource management and knowledge of the patient. Conclusions: PCMDM is a continuous, ethical, and reflective process mediated by MNMs, who reconcile institutional priorities, team dynamics, and patient needs to create conditions for high-quality PCC. Implications for Practice: Strengthening PCMDM requires coordinated action aimed at equipping nurse managers with advanced leadership capabilities, building organizational structures that sustain patient-centered decisions, and empowering patients to actively co-shape the care process. Full article

In this study, a strain of green microalga adapted to the extreme environmental conditions of the Tibetan Plateau was isolated from the Lalu Wetland. The isolate was identified and tentatively designated as Micractinium sp. LL-1. Following the inoculation of strain LL-1 into tannery wastewater, the ammonia nitrogen concentration was rapidly reduced, achieving a removal efficiency of 98.7%. The maximum accumulated biomass reached 1641.68 mg/L and 1461.28 mg/L. Integrated transcriptomic and label-free quantitative proteomic approaches were employed to systematically investigate the molecular response mechanisms of LL-1 under tannery wastewater stress. Transcriptomic analysis revealed that differentially expressed genes were enriched in pathways related to cell proliferation, morphogenesis, intracellular transport, protein synthesis, photosynthesis, and redox processes. Proteomic analysis indicated that LL-1 enhances cellular and enzymatic activities, strengthens regulatory capacity, modulates key metabolic pathways, and upregulates stress-responsive proteins. Under tannery wastewater stress, LL-1 exhibits dynamic adaptation involving signal perception and metabolic reconfiguration through the coordinated regulation of multiple pathways. Specifically, ribosomal translation and nucleic acid binding regulate biosynthetic capacity; the redistribution of energy metabolism boosts photosynthetic carbon fixation and ATP generation; and membrane transport coupled with antioxidant mechanisms mitigates stress-induced damage. Collectively, this study provides theoretical insights into microalgal adaptation to complex wastewater environments and offers potential targets for strain improvement and wastewater valorization. Full article

Vascular remodeling and progressive lung vessel obliteration are a histopathological cornerstone for the onset of pulmonary arterial hypertension (PAH). However, the role of vascular endothelial growth factor (VEGF) signaling pathways in the development of histopathological vascular changes in PAH is still incompletely understood. This educational review aims to untangle the opposing and heterogeneous actions of VEGF and the receptors it engages in triggering lung angio-proliferative lesions, driving hemodynamic changes in PAH. A proposed ‘VEGF-oriented’ approach attempts to untangle some of the contrasting and complementary actions of VEGF in the pathogenesis of the disease. Experimental models provide a cogent explanation for dysfunctional angiogenesis and the paradox of VEGF-receptor-blockade-induced PAH. The multifaced properties of VEGF, whether angiogenic or nonangiogenic, vary depending on the nature of the ligand, receptor-dependent and -independent signaling pathways, and the duration of the ligand–receptor engagement. Further investigation is needed to translate the knowledge acquired to human subjects and to confirm the pathogenic mechanisms surrounding the phenotypic shift to apoptosis-resistant, hyperproliferative cellular subset and the development of angio-obliterative lesions in PAH. Full article

Adult T-cell leukemia/lymphoma (ATLL) is an aggressive T-cell malignancy caused by persistent infection with human T-cell leukemia virus type 1 (HTLV-1). ATLL remains difficult to treat despite intensive chemotherapy, antiviral therapy, and hematopoietic stem cell transplantation. The limited durability of current treatment strategies highlights the need for mechanism-based therapeutic approaches. Protein arginine methyltransferase 5 (PRMT5) is a type II arginine methyltransferase that regulates transcription, RNA splicing, DNA damage responses, and immune signaling through symmetric dimethylation of histone and non-histone substrates. PRMT5 is frequently overexpressed across hematologic and solid tumors. Preclinical studies indicate that PRMT5 expression is elevated during HTLV-1-mediated T-cell transformation and that pharmacologic inhibition of PRMT5 selectively impairs the survival and transformation of infected T cells in vitro and in vivo. In this review, we highlight the current understanding of PRMT5 biology in cancer, summarize preclinical studies supporting PRMT5 as a therapeutic target in ATLL, and discuss key challenges to future clinical translation. We also discuss emerging approaches such as rational combination therapies and tumor-selective PRMT5 inhibitors as potential paths toward treatment for ATLL. Full article

Spina bifida (SB) is a congenital malformation of the central nervous system (CNS), resulting from incomplete closure of the neural tube (NT) during early embryogenesis. Myelomeningocele (MMC), the most severe form of SB, leads to progressive neurological, orthopedic, and urological dysfunctions due to both NT developmental failure and secondary intrauterine injury (“two-hit hypothesis”). Prenatal repair of MMC has progressed considerably since the Management of Myelomeningocele Study (MOMS, 2011) trial, which showed that open fetal surgery can decrease the need for shunting and improve motor function, although it carries significant maternal risks. To address these limitations, minimally invasive techniques have been developed, with the goal of achieving similar benefits for the fetus while reducing maternal morbidity. Recent research has shifted toward regenerative strategies, integrating mesenchymal stem cells (MSCs), bioengineered scaffolds, and cell-derived products to move beyond mere mechanical protection toward true NT repair. Preclinical studies in rodent and ovine models have shown that amniotic- and placenta-derived MSCs exert neuroprotective and immunomodulatory paracrine effects, promoting angiogenesis, modulating inflammation, and supporting tissue regeneration. Minimally invasive, cell-based interventions such as Transamniotic Stem Cell Therapy (TRASCET), in preclinical rodent models, offer the possibility of very early treatment without hysterotomy, although translation remains limited by the lack of large-animal validation and long-term safety data. In parallel, advances in biomaterials, nanostructured scaffolds, and exosome-based therapies reinforce a regenerative paradigm that may improve neurological outcomes and quality of life in affected children. Ongoing translational studies are essential to optimize these approaches and define their safety and efficacy in clinical settings. This review provides an integrated overview of embryological mechanisms, diagnostic strategies, and prenatal therapeutic advances in SB treatment, with emphasis on prenatal repair, fetal surgery and emerging regenerative approaches. Full article

Background: Integrating palliative care (PC) into primary health care (PHC) is essential for achieving Universal Health Coverage and reducing avoidable suffering. Despite global progress in PC development, the extent to which PC is effectively embedded within PHC systems remains unclear, particularly in low- and middle-income countries. Colombia illustrates this gap, with an advanced legal framework but persistent territorial inequities. This study explored how national experts conceptualize PC integration into PHC to inform the development of context-sensitive indicators. Methods: A directed thematic analysis was conducted using qualitative comments from a modified Delphi process (pre-Delphi, Round 1, Round 2). Coding was guided by the WHO model for PC development and the WHO–UNICEF Operational Framework for PHC, combining deductive and inductive approaches to identify recurrent themes. Results: A total of 230 qualitative comments from experts in PC, PHC, and public health were analyzed. Experts described integration as the alignment of policy, education, service delivery, and community participation within PHC structures. They emphasized that laws and training programs alone are insufficient; integration depends on implementation capacity, equitable access, and locally responsive systems. Rural areas were identified as facing the greatest barriers, including limited trained staff, restricted medicine availability, and weak referral pathways. Conclusions: Experts understood PC integration into PHC as a dynamic and ethical process linking system design with human experience. Strengthening equity, workforce preparation, and community engagement is essential to translate policy into practice and to develop meaningful indicators for health system improvement. Full article

A precise characterization of molecular vibrations and thermodynamic properties is essential for applications in spectroscopy, computational modeling, and chemical process design. In this study, the q-deformed Tietz (qDT) oscillator is applied to examine vibrational energy spectra of diatomic molecules and thermodynamic properties of nonlinear symmetric triatomic molecules. Vibrational energy eigenvalues were obtained analytically using the improved Nikiforov-Uvarov method. The symmetric vibrational mode was described with the qDT oscillator, while asymmetric and bending modes were modeled using the rigid rotor harmonic oscillator (RRHO); translational and rotational contributions were incorporated from standard models. For diatomic molecules (BrF, CO⁺, CrO, ICl, KRb, NaBr), mean absolute percentage errors (MAPE) ranged from 0.53% to 1.73% for vibrational energy eigenvalues and 0.34% to 1.08% for potential fits. Extending the analysis to triatomic molecules, thermodynamic properties of AlCl₂, BF₂, Cl₂O, OF₂, O₃, and SO₂ were calculated with the qDT model, yielding low MAPE benchmarked against NIST-JANAF reference data: entropy 0.203% to 0.614%, enthalpy 1.792% to 5.861%, Gibbs free energy 0.419% to 1.270%, and constant-pressure heat capacity 1.475% to 4.978%. These results demonstrate the versatility and accuracy of the qDT oscillator as an analytical framework connecting molecular potentials, vibrational energies, and thermodynamic functions, providing a practical and tractable approach for modeling both diatomic and symmetric triatomic systems. Full article

B-cells and plasmablasts have emerged as central organizers of autoimmune pathogenesis, extending far beyond their classical role as antibody-producing cells to orchestrate immune circuits, tissue microenvironments, and therapeutic trajectories. Advances in single-cell technologies, high-dimensional cytometry, and B-cell receptor sequencing have uncovered a dynamic continuum of B-cell differentiation programs that drive clinical heterogeneity across systemic autoimmune diseases. Plasmablasts, in particular, have gained recognition as highly responsive sensors of immune activation: they expand during flares, encode interferon-driven and extrafollicular responses, and correlate with disease severity. Autoantibody profiles, long viewed as static diagnostic signatures, are now understood as durable molecular footprints of distinct B-cell pathways. In this review, we propose an endotype-based framework integrating B-cell circuits with clinical phenotypes, illustrate therapeutic decision-making through mechanistic case vignettes, and outline future strategies combining immunomonitoring, multi-omics, and precision therapeutics. We further address translational challenges and discuss complementary approaches, including T-cell modulation, FcRn inhibition, and antigen-specific tolerization. Full article

Forests play a strategic role in global sustainability, and restoration is essential to meet ESG targets. Seedling quality strongly influences reforestation success, but standardized evaluation protocols are often lacking. This study aimed to identify and prioritize critical technical parameters of forest seedlings and determine the highest-priority factor affecting field performance. A total of 100 seedlings of Handroanthus impetiginosus and Sparattosperma leucanthum were evaluated using Quality Function Deployment (QFD), considering reforestation as the client to translate field performance requirements into nursery-level technical parameters. Seedling characteristics were compared to standards based on the literature and nursery best practices. QFD analysis revealed that stem thickness and integrity, absence of borers, well-developed and firm roots, and complete and healthy leaves were the most critical attributes. Hardiness, combining structural robustness, disease resistance, and vigor, emerged as the central factor. Observed non-conformities included disease (15%), stem bifurcations (10%), and substrate deficiencies (12%). These results demonstrate that QFD is an effective tool for systematically identifying and prioritizing seedling attributes. The study provides a structured approach for nursery evaluation and quality control, supporting informed decision-making to enhance the success of forest restoration projects. Full article

Breast cancer is a significant public health concern, with triple-negative breast cancer (TNBC) being the most aggressive subtype characterized by considerable heterogeneity and the absence of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) expression. Currently, there are no practical alternatives to chemotherapy, which is associated with a poor prognosis. Therefore, developing new treatments for TNBC is an urgent need. Reactive oxygen species (ROS) and redox adaptation play central roles in TNBC biology. Targeting the redox state has emerged as a promising therapeutic approach, as it is vital to the survival of tumors, including TNBC. Although TNBC does not produce high levels of ROS compared to ER- or PR-positive breast cancers, it relies on mitochondria and oxidative phosphorylation (OXPHOS) to sustain ROS production and create an environment conducive to tumor progression. As a result, novel treatments that can modulate redox balance and target organelles essential for redox homeostasis, such as mitochondria, could be promising for TNBC—an area not yet reviewed in the current scientific literature, thus representing a critical gap. This review addresses that gap by synthesizing current evidence on TNBC biology and its connections to redox state and mitochondrial metabolism, with a focus on innovative strategies such as metal-based compounds (e.g., copper, gold), redox nanoparticles that facilitate anticancer drug delivery, mitochondrial-targeted therapies, and immunomodulatory peptides like GK-1. By integrating mechanistic insights into the redox state with emerging therapeutic approaches, I aim to highlight new redox-centered opportunities to improve TNBC treatments. Moreover, this review uniquely integrates mitochondrial metabolism, redox imbalance, and emerging regulated cell-death pathways, including ferroptosis, cuproptosis, and disulfidptosis, within the context of TNBC metabolic heterogeneity, highlighting translational vulnerabilities and subtype-specific therapeutic opportunities. Full article

The rapid evolution of CRISPR/Cas technology has transformed genome editing across biological systems in which zebrafish have emerged as a powerful vertebrate model for functional genomics and disease research. Due to its transparency, genetic similarity to humans, and suitability for large-scale screening, zebrafish is an appropriate system for translating molecular discoveries into biomedical and environmental applications. Thereby, this review highlights the recent progress in zebrafish gene editing, targeting innovations in ribonucleoprotein delivery, PAM-flexible Cas variants, and precision editors. These approaches have greatly improved editing accuracy, reduced mosaicism, and enabled efficient F0 phenotyping. In the near future, automated microinjections, optimized guide RNA design, and multi-omics validation pipelines are expected to enhance reproducibility and scalability. Although recent innovations such as ribonucleoprotein delivery, PAM-flexible Cas variants, and precision editors have expanded the zebrafish genome-editing toolkit, their benefits are often incremental and context-dependent. Mosaicism, allele complexity, and variable germline transmission remain common, particularly in F0 embryos. Precision editors enable defined nucleotide changes but typically exhibit modest efficiencies and locus-specific constraints in zebrafish. Consequently, rigorous validation, standardized workflows, and careful interpretation of F0 phenotypes remain essential. This review critically examines both the capabilities and limitations of current zebrafish gene-editing technologies, emphasizing experimental trade-offs, reproducibility challenges, and realistic use cases. Full article

Background and Objectives: Diffusion models, as a recent advancement in generative modeling, have become central to high-resolution image synthesis and reconstruction. Their rapid progress has notably shaped computer vision and health informatics, particularly by enhancing medical imaging and diagnostic workflows. However, despite these developments, researchers continue to face challenges due to the absence of a structured and comprehensive discussion on the use of diffusion models within clinical imaging. Methods: This systematic review investigates the application of diffusion models in medical imaging for diagnostic purposes. It provides an integrated overview of their underlying principles, major application areas, and existing research limitations. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines and included peer-reviewed studies published between 2013 and 2024. Studies were eligible if they employed diffusion models for diagnostic tasks in medical imaging; non-medical studies and those not involving diffusion-based methods were excluded. Searches were conducted across major scientific databases prior to the review. Risk of bias was assessed based on methodological rigor and reporting quality. Given the heterogeneity of study designs, a narrative synthesis approach was used. Results: A total of 68 studies met the inclusion criteria, spanning multiple imaging modalities and falling into eight major application categories: anomaly detection, classification, denoising, generation, reconstruction, segmentation, super-resolution, and image-to-image translation. Explainable AI components were present in 22.06% of the studies, clinician engagement in 57.35%, and real-time implementation in 10.30%. Overall, the findings highlight the strong diagnostic potential of diffusion models but also emphasize the variability in reporting standards, methodological inconsistencies, and the limited validation in real-world clinical settings. Conclusions: Diffusion models offer significant promise for diagnostic imaging, yet their reliable clinical deployment requires advances in explainability, clinician integration, and real-time performance. This review identifies twelve key research directions that can guide future developments and support the translation of diffusion-based approaches into routine medical practice. Full article

The chorioallantoic membrane (CAM) is a well-vascularised extra-embryonic membrane that supports avian embryonic development and can be used as an implantation site for xenograft models of various cancers. CAM tumour research models are powerful and versatile, offering a rapid, cost-effective and ethical complement to mouse xenograft studies. Their capacity for real-time observation of tumour growth, angiogenesis and metastasis within an immunocompetent living organism is particularly compelling. While CAM models have been extensively utilised for investigating solid cancers, such as breast, lung and pancreatic, their potential for haematological malignancy research remains comparatively underexplored. This review examines the relevance, advantages and translational potential of avian CAM models in studying blood cancers. Their applications across three primary categories are discussed—leukaemias, lymphomas and myelomas—highlighting experimental approaches that replicate aspects of human disease progression and therapeutic responsiveness. Moreover, the review evaluates species-specific considerations relevant to model fidelity, including evolutionary distance and functional parallels between avian and human haematopoiesis. These comparisons underscore both the opportunities and limitations for utilising CAM models in haematologic malignancy research. For their potential to investigate mechanisms of cancer development and treatment in simple but immunocompetent in vivo settings, we propose that CAM tumour models offer high value as a bridge between in vitro and mammalian in vivo studies for haematology translational research. Full article

Idiopathic inflammatory myopathies (IIM) comprise a heterogeneous group of autoimmune disorders with variable systemic involvement. Among them, dermatomyositis (DM) is the subtype with the most extensive biomarker characterization due to its defined immunopathology and frequent association with interstitial lung disease (ILD). This narrative review summarizes studies retrieved from PubMed, Scopus, and Web of Science up to March 2025, focusing on non-autoantibody biomarkers in DM. Reported categories include soluble proteins, cytokines, chemokines, muscle-specific microRNAs, and transcriptomic signatures reflecting interferon activation, tissue injury, and fibrotic remodeling. Among the most validated molecules, interferon-stimulated genes, ferritin, KL-6, SP-D, and CXCL10 demonstrate diagnostic and prognostic value, particularly in anti-MDA5-positive DM, where they support early identification of patients at risk for rapidly progressive ILD. However, despite increasing evidence, most biomarkers lack disease specificity, standardized cutoffs, and multicenter validation, while molecular assays remain confined to specialized laboratories. Clinically accessible markers such as ferritin, KL-6, and CXCL10 currently offer the highest translational potential. Nevertheless, the heterogeneity of study designs and analytical methods continues to limit comparability and routine clinical integration. Future research should prioritize the validation of composite biomarker panels through standardized, multicentric studies to enhance diagnostic precision and enable precision medicine approaches in DM and related inflammatory myopathies. Full article