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11 pages, 269 KB  
Review
Conservative Management of Upper Tract Urothelial Carcinoma: A Narrative Review
by Silvia Proietti, Cristian Axel Hernández-Gaytán, Federico De Leonardis, Stefano Gisone, Riccardo Scalia, Franco Gaboardi and Guido Giusti
J. Clin. Med. 2026, 15(9), 3304; https://doi.org/10.3390/jcm15093304 (registering DOI) - 26 Apr 2026
Abstract
Upper tract urothelial carcinoma (UTUC) accounts for approximately 5–10% of urothelial malignancies and represents a clinically challenging disease due to its frequent presentation at advanced stages and its association with significant morbidity. Radical nephroureterectomy (RNU) with bladder cuff excision remains the standard treatment [...] Read more.
Upper tract urothelial carcinoma (UTUC) accounts for approximately 5–10% of urothelial malignancies and represents a clinically challenging disease due to its frequent presentation at advanced stages and its association with significant morbidity. Radical nephroureterectomy (RNU) with bladder cuff excision remains the standard treatment for high-risk disease; however, this approach inevitably results in loss of renal function and may significantly affect eligibility for cisplatin-based chemotherapy. In patients with imperative indications for renal preservation—including a solitary kidney, bilateral disease, or advanced chronic kidney disease—Kidney-Sparing Surgery (KSS) represents an essential therapeutic strategy. Technological advances in flexible ureteroscopy, improved visualization systems, and laser energy sources have significantly expanded the feasibility of conservative management. Ureteroscopic tumor ablation has become the cornerstone of KSS, allowing local disease control while preserving renal function. Although recurrence rates remain relatively high, repeated endoscopic treatment combined with strict surveillance protocols can achieve acceptable oncological outcomes in carefully selected patients. This narrative review summarizes the current evidence regarding conservative management of UTUC in imperative clinical situations, with particular emphasis on patient selection, endoscopic treatment modalities, laser technologies, economic implications, patient counselling, and follow-up strategies. Full article
(This article belongs to the Special Issue Novel Diagnostic and Therapeutic Approaches to Urologic Oncology)
30 pages, 20086 KB  
Review
Methods and Strategies for Enhancing the Performance of PQ/PMMA Photopolymers for Holographic Data Storage
by Junhui Wu, Lin Peng, Hao Wu, Ruying Xiong, Jingjun Huang, Enqiang Wu and Xiaodi Tan
Polymers 2026, 18(9), 1053; https://doi.org/10.3390/polym18091053 (registering DOI) - 26 Apr 2026
Abstract
With the advent of the big data era, traditional storage technologies struggle to meet the demands for long-term, secure, and cost-effective preservation of massive amounts of information. Collinear holographic storage technology has emerged as a strong contender for next-generation optical storage due to [...] Read more.
With the advent of the big data era, traditional storage technologies struggle to meet the demands for long-term, secure, and cost-effective preservation of massive amounts of information. Collinear holographic storage technology has emerged as a strong contender for next-generation optical storage due to its high storage density, rapid parallel transmission, and exceptional reliability. Among various storage materials, phenanthraquinone-doped poly(methyl methacrylate) (PQ/PMMA) photopolymer has garnered significant attention for its negligible photo-induced volume shrinkage, low cost, controllable thickness, and polarization-sensitive holographic response properties. However, the material’s limited photosensitivity, low polarization response, and poor optical uniformity severely constrain its application in high-speed recording and multidimensional multiplexing holographic systems. This paper reviews the primary methods and strategies employed over the past five years to enhance the holographic performance of PQ/PMMA photopolymer materials, based on the microscopic physicochemical mechanisms underlying traditional and polarization holography, including chemical modification, nanoscale doping, mechanical control, etc. Through a systematic review of these research advances, this paper aims to provide theoretical foundations and technical references for developing high-performance PQ/PMMA photopolymer materials suitable for collinear holographic storage. Full article
(This article belongs to the Special Issue Advances in Photopolymer Materials: Holographic Applications)
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39 pages, 1271 KB  
Article
A Blockchain–IoT–ML Framework for Sustainable Vaccine Cold Chain Management in Pharmaceutical Supply Chains
by Ibrahim Mutambik
Systems 2026, 14(5), 467; https://doi.org/10.3390/systems14050467 (registering DOI) - 26 Apr 2026
Abstract
Ensuring the quality, reliability, and efficiency of cold chain logistics for thermolabile pharmaceutical products, particularly vaccines, remains a critical challenge in global health supply chains. These biologics require stringent temperature control throughout storage, transport, and distribution to preserve their efficacy. Persistent issues such [...] Read more.
Ensuring the quality, reliability, and efficiency of cold chain logistics for thermolabile pharmaceutical products, particularly vaccines, remains a critical challenge in global health supply chains. These biologics require stringent temperature control throughout storage, transport, and distribution to preserve their efficacy. Persistent issues such as maintaining product integrity, accurately forecasting vaccine demand, and fostering trust among stakeholders often result in inefficiencies, waste, and public mistrust. This study proposes an intelligent digital management framework specifically designed for vaccine cold chains, integrating blockchain, the Internet of Things (IoT), and machine learning (ML) to address these challenges in a holistic and sustainable manner. The main innovation of the study lies in combining secure traceability, real-time cold chain monitoring, and predictive decision support within a unified vaccine cold chain management framework rather than treating these functions as isolated technological solutions. Using WHO immunization coverage data and vaccine-related review data, the framework supports vaccine demand forecasting through the Informer model and stakeholder trust assessment through BERT-based sentiment analysis. In the sentiment analysis task, the BERT model achieved ~80% accuracy on dominant sentiment classes, with a weighted F1-score of 0.6974, demonstrating strong performance on imbalanced datasets. By minimizing vaccine spoilage and enabling more accurate demand planning, the system reduces excess production and distribution, thus lowering resource consumption, carbon emissions, and financial waste. Moreover, trust-informed analytics support better alignment of supply with actual community needs, fostering equity and resilience in vaccine distribution. While this framework has been validated through simulations and experimental evaluation, further real-world testing is needed to assess long-term stability and stakeholder adoption. Nonetheless, it provides a scalable and adaptive foundation for advancing sustainability and transparency in pharmaceutical cold chains. Full article
58 pages, 1852 KB  
Review
Evolutionary Mismatch, Stress, and Competition: Making Sense of Psychosocial Problems in the Polycrisis Era
by Jose C. Yong, Amy J. Lim, Edison Tan and Sarah H. M. Chan
Behav. Sci. 2026, 16(5), 650; https://doi.org/10.3390/bs16050650 (registering DOI) - 26 Apr 2026
Abstract
Contemporary problems ranging from allergies, myopia, and obesity to chronic anxiety, loneliness, and ultralow fertility can be understood as consequences of evolutionary mismatch intensified by the polycrisis, in which accelerating technological and socioeconomic changes push human adaptations beyond what they evolved to handle. [...] Read more.
Contemporary problems ranging from allergies, myopia, and obesity to chronic anxiety, loneliness, and ultralow fertility can be understood as consequences of evolutionary mismatch intensified by the polycrisis, in which accelerating technological and socioeconomic changes push human adaptations beyond what they evolved to handle. We sought to provide a conceptual review that maps these problems to adaptive needs that are disrupted in highly modernized environments. We then introduce the social evolutionary mismatch and competition hypothesis, which proposes that social aspects of evolutionary mismatch—e.g., increasing population sizes, fragmented communities, rising socioeconomic inequality, constant exposure to inflated social status cues—have a distinct effect of heightening both real and perceived competition. In turn, this perspective can help us make sense of predictable variation in psychosocial outcomes, including obsessive status pursuit, hostility, and social withdrawal. Finally, we outline strategies to lessen the impact of these dynamics by reducing sources of evolutionary mismatch. In sum, we contribute (1) an exposition of how the polycrisis exacerbates evolutionary mismatch and the adaptive needs that are impacted, (2) a theoretical advance identifying mismatch-driven competition as a predictor of multiple problematic outcomes, and (3) a translational framework showing how evolutionary insights can inform interventions to promote well-being in a time of profound societal strain. Full article
34 pages, 5269 KB  
Review
Phenothiazine: A Promising Core for Perovskite and Dye-Sensitized Solar Cells
by Luis Alberto Illicachi, David Oliveros Garavito, Viviana Cuartas and Alberto Insuasty
Molecules 2026, 31(9), 1431; https://doi.org/10.3390/molecules31091431 (registering DOI) - 26 Apr 2026
Abstract
Photovoltaic technologies represent an increasingly relevant alternative for developing renewable energy sources, particularly those based on light-harvesting materials such as perovskite solar cells (PSCs) and dye-sensitized solar cells (DSSCs), which have achieved efficiencies of 27.3% and 13.0%, respectively. In this context, phenothiazine (PTZ) [...] Read more.
Photovoltaic technologies represent an increasingly relevant alternative for developing renewable energy sources, particularly those based on light-harvesting materials such as perovskite solar cells (PSCs) and dye-sensitized solar cells (DSSCs), which have achieved efficiencies of 27.3% and 13.0%, respectively. In this context, phenothiazine (PTZ) has attracted considerable interest as a structural block due to its outstanding structural and photophysical properties, which also represent low production costs and reduced environmental impact. This review presents recent advances in the design and development of phenothiazine-based organic materials for photovoltaic applications, analyzing the main synthetic routes for obtaining this nucleus, as well as the fundamental aspects related to the operation of solar cells, including relevant device parameters. Furthermore, several studies focused on the synthesis, characterization, and performance of new phenothiazine-derived molecules used in photovoltaic devices are also examined. Finally, the most relevant conclusions are discussed, and future perspectives for the use of these materials in solar technologies are proposed. Full article
38 pages, 837 KB  
Review
Targeting Mycotoxin Toxicity: From Molecular Mechanisms to Nutritional Interventions
by Shirui Huang, Yiqin Gao, Thobela Louis Tyasi, Abdelkareem A. Ahmed, In Ho Kim, Hao-Yu Liu, Saber Y. Adam and Demin Cai
Vet. Sci. 2026, 13(5), 421; https://doi.org/10.3390/vetsci13050421 (registering DOI) - 26 Apr 2026
Abstract
Mycotoxin contamination is an important threat to food and feed safety as well as human and animal health, with particular emphasis on oxidative stress, apoptosis, autophagy, inflammation, and dysbiosis. Mycotoxins represent major health threats because they disturb cellular homeostasis and induce oxidative damage. [...] Read more.
Mycotoxin contamination is an important threat to food and feed safety as well as human and animal health, with particular emphasis on oxidative stress, apoptosis, autophagy, inflammation, and dysbiosis. Mycotoxins represent major health threats because they disturb cellular homeostasis and induce oxidative damage. Nutritional factors, such as dietary antioxidants and bioactive chemicals, can influence the body’s reaction to mycotoxin exposure, either reducing or increasing its effects. This study discusses how mycotoxins (aflatoxin B1, deoxynivalenol, and ochratoxin A) induce oxidative stress by producing reactive oxygen species (ROS)-mediated DNA damage, which induces cellular damage and activates apoptosis, an intended cell death process that is critical for tissue integrity. Furthermore, mycotoxins alter autophagy, a cellular degradation process that can be beneficial or destructive depending on the situation, affecting cell survival. The inflammatory response is particularly important because mycotoxin-induced oxidative stress and cell damage activate inflammatory pathways, which contribute to tissue injury and disease progression. Nutritional factors high in antioxidants, anti-inflammatory substances (Lycopene, Curcumin, Thyme oil, Gum Arabic, and Ginger), probiotics, and prebiotics show potential in mitigating these negative consequences by reducing oxidative stress and inflammation. Advances in molecular biology and omics technologies (transcriptomics, proteomics, metabolomics, and single-cell sequencing) can lead to better knowledge of the underlying pathways, allowing for more tailored nutritional recommendations and medicinal interventions. Finally, combining dietary modulation with mycotoxin risk management is a viable path for protecting health and increasing resilience to mycotoxin-related toxicities in animals. Full article
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10 pages, 743 KB  
Commentary
Glioblastoma Stem Cells as Targets for Emerging Precision Immunotherapies and Molecular Treatments
by Dennis A. Steindler and Katherine Karakoula
Cells 2026, 15(9), 783; https://doi.org/10.3390/cells15090783 (registering DOI) - 26 Apr 2026
Abstract
Advances in organoid and other three-dimensional culture systems, single-cell and spatial transcriptomics, multi-omics, and high-resolution imaging are reshaping our understanding of the cellular origins and evolutionary trajectories of glioblastoma. When integrated with modern data science approaches, these technologies enable the construction of increasingly [...] Read more.
Advances in organoid and other three-dimensional culture systems, single-cell and spatial transcriptomics, multi-omics, and high-resolution imaging are reshaping our understanding of the cellular origins and evolutionary trajectories of glioblastoma. When integrated with modern data science approaches, these technologies enable the construction of increasingly detailed molecular biographies of normal neural stem and progenitor cells as well as malignant stem-like cellular states. Such molecular biographies illuminate how developmental programs, cellular plasticity, and microenvironmental cues are co-opted during gliomagenesis. At the same time, progress in machine learning, immunotherapy, and precision molecular targeting is beginning to translate these biological insights into therapeutic strategies that specifically disrupt glioblastoma stem-like states. Together, these converging approaches provide a conceptual and technological framework for improved tumor modeling, earlier detection, and increasingly personalized therapies for malignant gliomas. Full article
(This article belongs to the Special Issue Cellular Origin of Glioma: From Triggers to Treatments)
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33 pages, 4978 KB  
Systematic Review
Oxidative-Stress-Associated Molecular Signatures in Immune-Mediated Diseases: A Systematic Review Integrating Machine Learning and Systems Biology Approaches
by Rahul Mittal, Eavin A. Valerio, Vedaant Mutha, Aaryan Raj and Khemraj Hirani
Antioxidants 2026, 15(5), 548; https://doi.org/10.3390/antiox15050548 (registering DOI) - 26 Apr 2026
Abstract
Oxidative stress is a key contributor to the pathogenesis of immune-mediated diseases through its effects on cellular metabolism, mitochondrial function, immune signaling pathways, and inflammatory tissue injury. Disruption of redox homeostasis promotes metabolic reprogramming and persistent activation of innate and adaptive immune responses, [...] Read more.
Oxidative stress is a key contributor to the pathogenesis of immune-mediated diseases through its effects on cellular metabolism, mitochondrial function, immune signaling pathways, and inflammatory tissue injury. Disruption of redox homeostasis promotes metabolic reprogramming and persistent activation of innate and adaptive immune responses, contributing to disease progression across multiple inflammatory and autoimmune disorders. Recent advances in high throughput molecular technologies have generated large scale multi-omics datasets that enable comprehensive investigation of redox-associated mechanisms at a systems level. Integration of these datasets with computational analytical approaches has facilitated the identification of multidimensional molecular signatures associated with disease development and progression. This systematic review evaluates studies applying computational frameworks to analyze redox-related molecular data in immune-mediated diseases including multiple sclerosis, systemic lupus erythematosus, lupus nephritis, rheumatoid arthritis, Sjögren’s syndrome, and inflammatory bowel disease. Across the reviewed studies, oxidative stress associated with molecular signatures were consistently linked to immune activation, mitochondrial metabolism, and inflammatory signaling pathways. Computational analyses also identified regulatory genes involved in antioxidant defense and metabolic regulation, as well as pathways associated with regulated cell death. These findings highlight the translational potential of computational redox analysis for biomarker discovery, disease stratification, and development of targeted therapeutic strategies aimed at restoring redox balance and improving clinical management of immune-mediated diseases. Full article
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24 pages, 29195 KB  
Article
Urban Well-Being Assessment Based on Tourist Emotional Space Analysis: The Case of Harbin
by Xu Lu, Jingqun Lu, Shan Huang and Mingsong Zhan
Buildings 2026, 16(9), 1695; https://doi.org/10.3390/buildings16091695 (registering DOI) - 25 Apr 2026
Abstract
In people-centered urban planning, enhancing the well-being of residents and tourists is one of the core objectives. Tourist emotion serves not only as a key indicator of the tourism experience but also indirectly reflects the quality of a city’s public spaces and built [...] Read more.
In people-centered urban planning, enhancing the well-being of residents and tourists is one of the core objectives. Tourist emotion serves not only as a key indicator of the tourism experience but also indirectly reflects the quality of a city’s public spaces and built environment. In recent years, user-generated content has provided abundant data for understanding human emotional responses in urban environments, while deep learning models offer new technological pathways for extracting spatial–emotional associations from such data. However, existing research lacks a systematic evaluation of emotion analysis models from an urban spatial perspective and their application to uncover the relationship between emotional distribution and spatial characteristics in specific urban contexts. Based on a dataset of 9419 manually annotated travel reviews from Harbin, this study developed a multi-level evaluation framework and conducted a systematic comparison of seven emotion analysis models. This study then screened for the optimal model combinations based on two dimensions—spatial location and emotion polarity—to create a model matching matrix for mapping Harbin’s emotion map. Subsequently, a regression analysis was performed to examine the relationship between emotions and built environment elements. The results show that the ERNIE model demonstrated the best overall performance. Road density, green space density, and accommodation facility density were positively correlated with emotion, while POI diversity showed a negative correlation. This study demonstrates that emotion analysis technology can serve as a valuable analytical tool for identifying spatial patterns of sentiment, thereby offering empirical support for optimizing spatial design parameters and advancing a more people-centered approach to urban development. Full article
(This article belongs to the Special Issue Urban Wellbeing: The Impact of Spatial Parameters—2nd Edition)
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25 pages, 3546 KB  
Article
Study and Development of High-Capacity Electrical ESS for RES
by Aizhan Zhanpeiissova, Yerlan Sarsenbayev, Askar Abdykadyrov, Dildash Uzbekova, Ardak Omarova, Seitzhan Orynbayev and Nurlan Kystaubayev
Energies 2026, 19(9), 2088; https://doi.org/10.3390/en19092088 (registering DOI) - 25 Apr 2026
Abstract
The increasing penetration of renewable energy sources (RES) introduces significant variability and instability in modern power systems, creating a growing need for advanced and coordinated energy storage solutions. However, a key unresolved challenge remains the integrated modeling and optimal sizing of hybrid energy [...] Read more.
The increasing penetration of renewable energy sources (RES) introduces significant variability and instability in modern power systems, creating a growing need for advanced and coordinated energy storage solutions. However, a key unresolved challenge remains the integrated modeling and optimal sizing of hybrid energy storage systems (ESS) that combine technologies with different temporal characteristics under high RES penetration. This study addresses this challenge by developing a unified techno-economic and physical–mathematical framework for hybrid ESS integrating lithium-ion (Li-ion), vanadium redox flow batteries (VRFB), and hydrogen (H2) technologies. Unlike conventional approaches that treat storage technologies independently or use simplified hybrid representations, the proposed framework jointly considers dynamic energy balance, degradation-aware lifecycle behavior, and multi-criteria cost optimization. The model was implemented using Python 3.10-based simulation tools and evaluated under renewable penetration scenarios of 30%, 50%, and 70%. The results indicate that increasing RES penetration leads to higher power fluctuations, reaching ±15–20% at 50% RES and ±20–25% at 70% RES. The optimized hybrid system achieves an overall efficiency of up to 92%, reduces total system cost to approximately 450 USD/kWh, and extends operational lifetime to 25 years, demonstrating a balanced techno-economic performance compared to standalone storage technologies. The proposed framework addresses this gap by coupling dynamic energy balance analysis with degradation-aware techno-economic optimization, enabling coordinated allocation of storage functions across short-, medium-, and long-duration timescales. In this way, the study not only evaluates hybrid storage performance, but also provides a practical decision-support framework for renewable-dominated power systems, particularly in the context of Kazakhstan’s energy transition. Full article
(This article belongs to the Section D: Energy Storage and Application)
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28 pages, 10512 KB  
Article
Electromagnetic Field Generated by UUV-Propeller System Wake in Stable Stratified Flow
by Chengbo Jia, Dawen Jiao and Shengtao Chen
J. Mar. Sci. Eng. 2026, 14(9), 790; https://doi.org/10.3390/jmse14090790 (registering DOI) - 25 Apr 2026
Abstract
With advancements in weak magnetic detection technology, the electromagnetic wake signals induced by UUVs in stratified seawater are becoming stable interference sources for detection equipment. This study developed a numerical model combining fluid dynamics and electromagnetism to examine the electromagnetic wake evolution of [...] Read more.
With advancements in weak magnetic detection technology, the electromagnetic wake signals induced by UUVs in stratified seawater are becoming stable interference sources for detection equipment. This study developed a numerical model combining fluid dynamics and electromagnetism to examine the electromagnetic wake evolution of the UUV system under varying propeller propulsion coefficients, and formation mechanism of the wake electromagnetic field is revealed. The flow field results were validated using PIV and relevant literature. The flow characteristics of the near-field wake are analyzed by visualizing the vortex structure. Additionally, this study investigates the attenuation law of far-field wake using electromagnetic field intensity attenuation curves. The wake’s electromagnetic field frequency characteristics were examined through the normalized amplitude spectrum. Results indicate that the near-field wake vortex structure resembles a propeller’s topological structure. The electric field intensities in the near-field and far-field are approximately on the order of 10−4 V/m and 10−5 V/m, respectively, while the magnetic field intensities are around 10−10 V/m and 10−11 V/m. The electromagnetic interference spectrum within the wake typically shows high intensity in the low-frequency band. A high-precision magnetometer can detect the electromagnetic field’s intensity and frequency characteristics. It offers theoretical support for developing advanced anti-interference algorithms in engineering practice. Full article
(This article belongs to the Special Issue Remote Sensing for Marine Environmental Applications)
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21 pages, 1081 KB  
Review
Bridging Technology and Nutrition: A Systematic Review of AI and XR Applications for Nutritional Insights in Restaurants and Foodservice Operations
by Younes Bordbar, Jinyang Deng, Brian King, Hyunjung Lee and Wenjia Zhang
Nutrients 2026, 18(9), 1364; https://doi.org/10.3390/nu18091364 (registering DOI) - 25 Apr 2026
Abstract
Purpose: This study provides a critical examination of the literature on applying artificial intelligence (AI) and Extended Reality (XR) in restaurant settings and related foodservice operations. It focuses on how AI and XE influence consumer nutrition awareness and decision-making about food choices, [...] Read more.
Purpose: This study provides a critical examination of the literature on applying artificial intelligence (AI) and Extended Reality (XR) in restaurant settings and related foodservice operations. It focuses on how AI and XE influence consumer nutrition awareness and decision-making about food choices, and their implications for customer satisfaction, loyalty, and service delivery in foodservice environments. Design/methodology/approach: The study adopts a systematic literature review (SLR) approach following the PRISMA method. An initial search identified over 3900 academic papers published between 2016 and 2025. Studies were selected on the basis of predetermined inclusion and exclusion criteria, and 26 peer-reviewed articles were analyzed. The review provides a conceptual synthesis and develops propositions for practical applications and future research directions. Findings: The review reveals a shift from static systems that rely on optimization, toward adaptive and user-centered solutions that are behavior-oriented. AI applications predominate in the case of calorie tracking, personalized recommendations, and menu planning. Though deployment of XR technologies (e.g., AR and VR) is less prevalent, they offer potential for immersive, and real-time interventions. A key distinction emerges between studies demonstrating empirical effectiveness (e.g., improved understanding and healthier choices) and those focused on technical and/or conceptual developments. To date, there has been limited validation of behavioral impacts in foodservice settings. Originality: This study offers a theory-informed conceptualization of AI and XR applications in restaurant and foodservice contexts by integrating three perspectives: hospitality (menus and dining experience), nutrition (dietary awareness and healthier choices), and human–technology interaction (technology acceptance and user engagement). The study reconceptualizes AI- and XR-enabled systems as behavioral intervention tools and outlines a focused research agenda for advancing nutritional communication in foodservice environments. Full article
(This article belongs to the Special Issue A Path Towards Personalized Smart Nutrition)
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11 pages, 430 KB  
Review
Overcoming Anatomical Challenges in Difficult Cholecystectomies: A Narrative Review on the Impact of ICG in Patients with Obesity
by Marcello Agosta, Giorgio Melita, Maria Sofia, Chiara Mazzone, Gloria Faletra, Gaetano La Greca and Saverio Latteri
Life 2026, 16(5), 728; https://doi.org/10.3390/life16050728 (registering DOI) - 25 Apr 2026
Abstract
Laparoscopic cholecystectomy is now established as the worldwide gold standard for the treatment of benign gallbladder disease. Despite technical advancements, bile duct injury (BDI) remains a major concern, especially in patients with obesity. It is well known that in patients with a Body [...] Read more.
Laparoscopic cholecystectomy is now established as the worldwide gold standard for the treatment of benign gallbladder disease. Despite technical advancements, bile duct injury (BDI) remains a major concern, especially in patients with obesity. It is well known that in patients with a Body Mass Index (BMI) ≥ 30 kg/m2, identification of Calot’s triangle and the achievement of the Critical View of Safety (CVS) during laparoscopic cholecystectomy (LC) are made more challenging due to excessive visceral adiposity and concomitant hepatic steatosis reducing the workspace. Near-Infrared Fluorescence Cholangiography (NIRF-C) with Indocyanine Green (ICG) has emerged as an innovative, safe and effective technique to visualize the biliary anatomy and minimize the risk of iatrogenic BDI. However, its specific benefit in patients with obesity remains under-discussed compared to the general population. The main aim of this narrative review is to evaluate whether the intraoperative use of ICG in patients with obesity may reduce operative times and the risk of BDI. A focused review of the literature is performed on articles from 2010 to 2025 published on PubMed, Scopus and Web of Science. The application of ICG fluorescence in LC for patients with obesity represents a tangible clinical advantage, not only for anatomical identification and significant improvement of procedural efficiency, but also for the reduction in operative time. Full article
(This article belongs to the Special Issue Pathophysiology and Treatments of Obesity)
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45 pages, 1944 KB  
Review
The Current Landscape of Adult Neural Stem Cell Research: A Narrative Review
by Jaime Yair Burciaga-Paez, Idalia Garza-Veloz and Margarita L. Martinez-Fierro
Cells 2026, 15(9), 779; https://doi.org/10.3390/cells15090779 (registering DOI) - 25 Apr 2026
Abstract
Adult neural stem cells (NSCs) maintain lifelong neurogenesis, a fundamental process for neuroplasticity, memory and brain homeostasis. Despite decades of research, translating basic NSC biology into effective clinical therapies remains a central challenge. Here we present a narrative review that provides a comprehensive [...] Read more.
Adult neural stem cells (NSCs) maintain lifelong neurogenesis, a fundamental process for neuroplasticity, memory and brain homeostasis. Despite decades of research, translating basic NSC biology into effective clinical therapies remains a central challenge. Here we present a narrative review that provides a comprehensive update on the current landscape of adult NSC research, associating molecular mechanisms with the emerging translational technologies. First, we analyze the biological features and neurogenic sequences within canonical niches such as the subventricular lateral zone and the subgranular zone, emphasizing phylogenetic and migratory differences between rodent models and humans. Second, we integrate these mechanisms with the influence of environmental and pathological modulators, describing how aging, metabolic changes, chronic stress and neuroinflammation disrupt NSC quiescence and lineage progression. Finally, we highlight recent technological advances driving the field toward clinical applications. By examining current NSC isolation strategies, induced pluripotent stem cell modeling, direct somatic reprogramming and the use of CRISPR-Cas9-based gene-editing therapies, this review delineates the pathways to overcome existing methodological limitations. Ultimately, we provide an integrated context that connects the modulation of the neurogenic niches with advanced in vitro technologies, offering new perspectives for regenerative medicine and the treatment of neurological disorders. Full article
(This article belongs to the Special Issue Advances and Breakthroughs in Stem Cell Research)
27 pages, 624 KB  
Systematic Review
Heavy Metal Contamination in Foods: Advances in Detection Technologies, Regulatory Challenges, Health Risks, and Implications for Sustainable Food Safety
by Diego A. Hernández-Montoya, Ana G. Castañeda-Miranda, Margarita L. Martinez-Fierro, Alfonso Talavera-Lopez, Remberto Sandoval-Aréchiga, Jose. R. Gomez-Rodriguez, Víktor I. Rodríguez-Abdalá, Rodrigo Castañeda-Miranda, Luis Alberto Flores-Chaires, Sodel Vazquez-Reyes and Salvador Ibarra Delgado
Sustainability 2026, 18(9), 4280; https://doi.org/10.3390/su18094280 (registering DOI) - 25 Apr 2026
Abstract
Heavy metal contamination of foods remains a persistent global challenge for food safety and public health, driven by industrialization, mining activities, intensive agriculture, and ongoing environmental degradation. This scoping review synthesizes peer-reviewed literature on the occurrence of priority toxic metals—arsenic, cadmium, lead, mercury, [...] Read more.
Heavy metal contamination of foods remains a persistent global challenge for food safety and public health, driven by industrialization, mining activities, intensive agriculture, and ongoing environmental degradation. This scoping review synthesizes peer-reviewed literature on the occurrence of priority toxic metals—arsenic, cadmium, lead, mercury, and nickel—in food matrices, with emphasis on contamination pathways, analytical detection strategies, and documented human health effects. The reviewed studies reveal widespread accumulation of heavy metals in staple foods, including cereals, vegetables, seafood, and processed products, with concentrations frequently approaching or exceeding international regulatory limits, particularly in regions exposed to strong anthropogenic pressure. Conventional laboratory-based techniques, such as atomic absorption spectrometry and inductively coupled plasma methods, remain the reference standards for quantitative determination and regulatory compliance; however, their application to large-scale or continuous monitoring is often constrained by cost, infrastructure, and operational complexity. Consequently, increasing attention has been directed toward emerging detection approaches, including portable X-Ray fluorescence, Raman/SERS spectroscopy, electrochemical biosensors, electronic tongues, and in situ magnetic measurements, as complementary tools for rapid screening and field-based surveillance. Among these, environmental magnetism and in situ magnetic techniques stand out as non-destructive, low-cost proxies capable of identifying metal-associated particulate contamination linked to food production systems. Chronic dietary exposure to heavy metals is consistently associated with neurotoxicity, nephrotoxicity, carcinogenicity, and oxidative stress, underscoring the need for integrated, multi-tiered monitoring frameworks to support early detection, risk assessment, and prevention. Full article
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