Search Results (7,221)

Spinal cord injury (SCI) is a major cause of long-term disability and is frequently accompanied by chronic pain, substantially reducing quality of life. Although spinal neuroinflammation is a recognized contributor to neuropathic pain, the role of supraspinal neuroinflammation remains less well defined. This systematic review critically evaluated experimental evidence linking SCI-induced supraspinal neuroinflammation with pain-related behaviors in animal models. A systematic literature search in PubMed, Web of Science Core Collection, and Scopus identified studies published over the last 20 years using rodent SCI models that assessed both supraspinal neuroinflammatory markers and pain-related behaviors. After screening, nine studies met the predefined criteria. The analyzed studies suggested that SCI is associated with supraspinal neuroinflammatory alterations, including increased microglial and astrocytic activation and upregulation of pro-inflammatory cytokines and chemokine-related pathways, in several brain regions. In intervention studies, reduced neuroinflammation was accompanied by improvement in mechanical or thermal pain-related behaviors. However, considerable methodological heterogeneity and moderate to high risk of bias were observed. Current evidence suggests an association between supraspinal neuroinflammatory alterations and chronic pain-related behaviors after SCI, but the limited number of studies and methodological variability restrict firm conclusions. Further well-designed experimental studies are needed to clarify underlying mechanisms. Full article

Inulin-type fructans are widely recognized as functional polysaccharides with prebiotic properties, while plant polyphenols represent one of the most important classes of natural antioxidants. Increasing evidence demonstrates that interactions between dietary fibers such as inulin and phenolic compounds significantly influence antioxidant capacity, bioavailability, and physiological activity. The present review integrates recent advances regarding the chemical structure of inulin, extraction sources, molecular interactions with polyphenols, and implications for antioxidant activity in functional foods and nutraceuticals. Experimental studies indicate correlations between inulin concentration and antioxidant parameters such as DPPH, FRAP, SOD and CAT activities. Furthermore, physicochemical interactions between cell wall polysaccharides and polyphenols influence the stability, release kinetics and bioefficacy of antioxidant compounds. These findings support the potential development of optimized functional formulations combining inulin-rich plant extracts with polyphenol sources for improved health benefits. The literature was identified through searches of PubMed, Scopus and Web of Science databases (2000–2026). Full article

Background: Kidney transplantation is the preferred treatment for end-stage kidney disease (ESKD), but long-term outcomes remain limited by chronic allograft injury, infections, metabolic complications, and cardiovascular risk. Gut microbiota alterations and microbiota-derived metabolites may influence immune regulation, inflammation, drug metabolism, and graft outcomes through the gut–kidney axis. This review summarizes evidence on the gut microbiota in kidney transplantation, emphasizing immune tolerance, complications, cardiovascular risk, graft function, and perspectives. Methods: A structured search was conducted in PubMed, Scopus, and Web of Science to May 2026. Eligible publications included studies involving kidney transplant recipients (KTR), kidney disease or solid organ transplant populations, and mechanistic models. Evidence was synthesized narratively. Results: Gut microbiota alterations in KTR reflect pre-transplant dysbiosis and post-transplant exposures, including antibiotics, immunosuppression, infection, diet, hospitalization, and graft function. Dietary factors and nutrient-derived substrates may modulate microbial composition and production of relevant metabolites, including short-chain fatty acids (SCFAs), trimethylamine N-oxide (TMAO), tryptophan-derived compounds, bile acid derivatives, and uremic toxins. Microbiota-related pathways may involve barrier dysfunction, microbial translocation, innate immune activation, altered regulatory T cell/T helper 17 (Treg/Th17) balance, metabolite signaling, uremic toxin generation, and endothelial stress. Clinical studies associate dysbiosis and microbial metabolites with diarrhea, infections, delayed graft function (DGF), rejection-related shifts, tacrolimus variability, cardiovascular risk, graft dysfunction, graft failure, and mortality. Most findings need validation. Conclusions: Gut microbiota signatures and microbial metabolites are promising markers of transplant-related risk, but not established causal determinants or therapeutic targets. Clinical translation requires standardized methods, multi-omics integration, and prospective patient- and graft-centered trials. Full article

Ochratoxin A (OTA) is a prevalent foodborne mycotoxin that has been increasingly recognized as a potential environmental contributor to neurodegenerative diseases. Despite extensive research, a systematic integration of how OTA replicates the specific pathological hallmarks of Alzheimer’s Disease (AD) is currently lacking. This study provides a comprehensive systematic review of the mechanistic evidence linking OTA exposure to AD-related pathways, utilizing the Adverse Outcome Pathway (AOP) framework to categorize complex toxicological data into biological key events (KEs). A systematic literature search was conducted across PubMed, Scopus, and Web of Science. A total of 24 peer-reviewed articles were selected for synthesis, comprising 14 in vitro studies and 10 in vivo investigations. The integrated evidence demonstrates that OTA exposure triggers a robust toxicological cascade that replicates several key mechanistic pathways associated with AD in experimental models. Early molecular triggers involve significant redox imbalance and mitochondrial bioenergetic failure, which serve as catalysts for sustained neuroinflammation and microglial activation. In vivo data, from multiple animal models, consistently show that these cellular dysfunctions culminate in structural damage. This systematic integration provides a clearer roadmap for future risk assessment and emphasizes the urgent need for refined regulatory guidelines to protect neurological health from chronic mycotoxin exposure. Full article

This study analyzes formative research as a pedagogical resource for teaching scientific logic in higher education from a constructivist perspective. The purpose of the article is to examine how formative research contributes to the development of scientific reasoning, critical thinking, and analytical skills among university students through active, reflective, and contextually grounded learning processes. The study is an exploratory narrative/documentary literature review. The initial bibliographic search identified 105 scientific documents published between 2000 and 2025 in indexed databases such as Scopus, Web of Science, SciELO, Taylor & Francis, MDPI, ResearchGate, Redalyc, and RENATI. After duplicates were removed and inclusion and exclusion criteria were applied, 54 studies were selected for the final analysis. A two-way documentary analysis matrix was used to identify conceptual relationships among constructivism, reflection-in-action, mental representations, induction and deduction, and their contributions to scientific logic. The findings show that formative research strengthens scientific logic by promoting active knowledge construction, critical reflection, problem-solving, and argumentative reasoning. The contributions of Piaget, Vygotsky, Bruner, Schön, and Fosnot demonstrate that scientific thinking develops through interaction, inquiry, contextualized learning, and reflective practice. Inductive and deductive reasoning were also identified as complementary mechanisms for developing analytical and interpretive competencies in university education. The study proposes that formative research should be considered a central pedagogical strategy in higher education because it facilitates the integration of scientific reasoning, reflective learning, and research-based teaching. Finally, an operational formative research program based on a holistic student development approach is proposed to foster scientific reasoning, intellectual autonomy, and the formation of more critical, reflective, and scientifically competent university students. Full article

Background/Objectives: Health literacy (HL) is recognized as an important social determinant of health. It supports healthy behaviors and effective health management throughout one’s life. For children and adolescents, developing HL influences their well-being, development, and ability to make informed health decisions. Nurses are strategically positioned to promote HL from an early age. To our knowledge, no prior synthesis has specifically examined nurse-led HL interventions targeting pediatric populations, highlighting the originality and relevance of this scoping review. The purpose of this review was to map and characterize nursing interventions aimed at improving HL outcomes in children and adolescents. Methods: A scoping review was conducted according to the Joanna Briggs Institute methodology, using a three-step search strategy, and reported in accordance with the PRISMA-ScR guidelines. Searches were conducted in MEDLINE, CINAHL, Scopus, Web of Science, and ProQuest with no date restriction, including studies published in Portuguese, English, or Spanish. Studies involving children and adolescents (ages 0–18) in any healthcare or community setting were eligible. Data on intervention characteristics and HL outcomes were extracted and analyzed descriptively, and no critical appraisal of the included sources was conducted. Results: A total of 44 studies were included. Interventions were predominantly school-based and focused on adolescents (n = 26), with a clear gap in early childhood (n = 2). Studies of early childhood primarily used storytelling and reading activities, whereas interventions targeting older children and adolescents more often employed participatory educational strategies, group-based approaches and digital platforms. The most frequently addressed topics were chronic disease management (n = 12), mental health (n = 7), and nutrition (n = 5). HL domains mainly focused on healthcare and health promotion, with fewer studies addressing disease prevention. Most interventions were conducted in school settings (n = 24), highlighting this context over those in primary care, community, and hospital settings. Conclusions: The results revealed nursing interventions used to promote HL, particularly in the management of chronic diseases, mental health and nutrition. However, the existing body of research is still limited. Key gaps include the absence of standardized measurement tools and the scarcity of longitudinal studies evaluating long-term outcomes. These limitations constrain the comparability and generalizability of findings, highlighting the necessity of more rigorous, methodologically robust research to support evidence-based practices. This scoping review comprehensively maps nurse-led interventions that promote HL among children and adolescents, identifying key priorities to guide future research in this area. Full article

Background: Advances in monitoring systems featuring wearable sensors, computer vision, and artificial intelligence (AI) have been increasingly used in sports science and rehabilitation practices as a means of movement pattern analysis, injury prevention, and training optimization. These technologies are becoming essential components of athlete-performance analysis and rehabilitation-monitoring systems designed to support biomechanical assessment, athlete development, and movement-quality evaluation. Athlete-performance analysis and rehabilitation monitoring increasingly rely on intelligent multimodal sensing systems capable of continuously evaluating movement quality, biomechanical patterns, training execution, and recovery progress. Human activity recognition (HAR) serves as a key enabling technology for these applications by providing automated assessment of human movement using wearable and vision-based sensing modalities. Therefore, the purpose of this study was to develop and evaluate an attention-based multimodal framework that integrates wearable inertial sensing and RGB video analysis for robust athlete-performance assessment and rehabilitation monitoring through accurate recognition of human movement patterns. Methods: Athlete-performance analysis and rehabilitation monitoring combining inertial sensor data and RGB-based visual information was introduced. Inertial signals were segmented with adaptive windowing, whereas silhouette refinement was performed to analyze motion structures from visual inputs in support of athlete-performance analysis and rehabilitation monitoring. Temporal, spatial, and motion features such as trajectory, orientation, and skeleton-based space-time representations were calculated from multimodal inputs. The proposed framework was designed to capture complex movement dynamics associated with rehabilitation exercises and sports-related motion patterns across heterogeneous sensing environments. Extracted features were then combined and optimized with a multimodal feature fusion approach, while the Ranger optimization algorithm was utilized during the process. An attention-based deep learning classifier was implemented to classify movement activities. Results: The results showed that the proposed framework reached accuracy scores of 88.40% and 87.96% on the VIDIMU dataset and the UTD-MHAD dataset respectively. Recognition performance across both inertial and vision-based modalities provided greater robustness than single-modality solutions. The integration of wearable sensing and computer vision modalities further improved the ability of the framework to analyze complex movement behaviors under varying execution conditions and environmental variations. Conclusion: The proposed multimodal framework provides a foundation for intelligent athlete-performance and rehabilitation-monitoring systems by integrating wearable sensing, computer vision, and attention-based artificial intelligence for robust movement analysis. The findings highlight its potential to support biomechanical assessment, movement-quality evaluation, training-performance monitoring, rehabilitation tracking, and injury-risk management in modern sports and healthcare environments. Full article

Background/Objectives: Childhood overweight and obesity represent a major global public health challenge, with increasing prevalence and significant long-term metabolic, cardiovascular, and psychosocial consequences. Standard pediatric weight-management strategies based on lifestyle modification often achieve modest and variable results, highlighting the need for more personalized and scalable approaches. Artificial intelligence (AI) has emerged as a promising tool to enhance prevention, early risk stratification, and management of pediatric overweight and obesity. Methods: This narrative review was conducted through a structured search of PubMed, Scopus, and Web of Science for English-language studies published up to January 2026. The main search terms included “artificial intelligence”, “machine learning”, and “deep learning”, combined with “child”, “adolescent”, “pediatric”, “childhood obesity”, “pediatric overweight”, “body mass index”, “weight management”, “nutrition”, “diet”, “physical activity”, “lifestyle”, and “behavior change”. After title/abstract and full-text screening according to predefined eligibility criteria, the included studies were qualitatively synthesized and grouped by main application domains. The initial database search identified 412 records. After removal of 96 duplicates, 316 records were screened by title and abstract. Full-text assessment was subsequently performed for 175 potentially eligible articles. Following this evaluation, 51 studies met the eligibility criteria and were retained from the database search. Additional relevant articles were identified through manual screening of reference lists and related reviews, resulting in the final set of studies included in the narrative synthesis. Results: The review identified five main domains of AI application in pediatric weight management: risk assessment and prediction, dietary assessment and nutritional support, physical activity and lifestyle monitoring, behavioral and psychological support, and clinical decision support. Across the included literature, AI-based approaches were most frequently applied to predictive modeling using longitudinal BMI or growth trajectories, birth characteristics, parental BMI, sleep duration, physical activity, sedentary behavior, and family or socioeconomic factors. However, the evidence base was largely composed of observational and predictive-modeling studies, whereas interventional studies, real-world implementation studies, and long-term pediatric weight-outcome data remained limited. Conclusions: This narrative review indicates that AI has potential as a complementary tool within multidisciplinary, family-centered pediatric weight-management pathways, particularly for early risk stratification, personalized monitoring, and behavioral support. However, the findings also highlight that current evidence remains mainly exploratory and predictive rather than interventional. Further longitudinal, real-world, and ethically grounded research is required to confirm effectiveness, safety, clinical usefulness, and equitable implementation in pediatric populations. Full article

A novel modified generalized Riccati equation mapping neural network-based approach is the basic theme of this study by exploring the nonlinear dynamical characteristics of the the strain wave model’s soliton solutions, which govern wave propagation in micro structured solids. Strain waves are particularly intriguing, since they preserve their form and speed throughout transmission. The nonlinear dynamical behaviors of strain waves may be modeled by partial differential equations in micro structured materials. In the realm of micro structured solids, there exists a class of phenomena that are referred to as micro strain waves. These waves arise in solids possessing intricate internal architectures, including periodic lattices, precisely engineered metamaterials Understanding these waves is key to designing more complex materials and new acoustic technologies. The activation function and the weight function of the neural network are assigned to each input layer, hidden layer and output layer and the neural network itself is a multi-layer computational network. Using the structure of the neural network, every neuron in the first hidden layer is given solutions to the Riccati equation, and the new highly expressive trial functions are generated in a systematic way. In this way, a large variety of exact soliton solutions are obtained, such as bright, dark, kink, and combined solitons as well as periodic and hyperbolic wave profiles. The influence of the essential physical and mathematical parameters is explored systematically using three-dimensional, two-dimensional and contour visualizations, which illustrate how parameter variations lead to changes in the amplitude, shape and stability of the wave structures. The solutions presented reveal the dynamic properties of micro strain solitons which leads to new avenues of investigation in the study of related nonlinear phenomena in micro structured solids. In a broader context, our results highlight the great potential of analytical techniques using neural networks as a powerful and versatile toolset to study complex nonlinear wave models within the applied sciences from acoustics to photonics to smart materials engineering. Full article

Background/Objectives: Ultra-processed foods (UPFs) are increasingly recognized as dietary exposures associated with cardiometabolic, hepatic, and neurocognitive outcomes. However, UPFs are often treated mainly as nutrient-poor foods, whereas their processing-related features may perturb gut–liver–brain communication. This review examines whether metabolic dysfunction-associated steatotic liver disease (MASLD) can be conceptualized as a hepatic metabolic amplifier linking UPF exposure to cognitive aging. Methods: We conducted a structured narrative search of PubMed/MEDLINE, Web of Science Core Collection, and Scopus from January 2010 to 11 May 2026 across four evidence modules: UPFs and MASLD/NAFLD; UPFs and cognitive aging or dementia; UPFs and gut–liver–brain mechanisms; and MASLD/NAFLD and cognitive aging. Representative studies were prioritized according to direct relevance to the proposed axis, study design, exposure and outcome validity, mechanistic specificity, and contribution to major evidence gaps. Results: Observational and mechanistic evidence links higher UPF consumption with liver steatosis, MASLD/NAFLD-related outcomes, cognitive decline, cognitive impairment, stroke, and dementia-related outcomes, although causality remains incompletely established and residual confounding is important. Candidate pathways include food-matrix disruption, rapid eating, displacement of microbial substrates, selected additives and processing-derived compounds, intestinal barrier dysfunction, metabolic endotoxemia, bile acid signaling, hepatic lipotoxicity, systemic inflammation, vascular dysfunction, and neuroimmune activation. Many pathways overlap with general cardiometabolic dysfunction; the processing-centered contribution lies in positioning industrial formulation as an upstream exposure and MASLD as a hepatic node that may amplify gut-derived and metabolic signals relevant to brain aging. Conclusions: A processing-centered gut–liver–brain framework integrates UPFs, MASLD, and cognitive aging as linked metabolic-aging phenomena. Future studies should test UPF substitution using liver imaging, microbiome profiling, metabolomics, bile acid and inflammatory biomarkers, neuroimaging, and cognitive assessment. Full article

Air pollution is an emerging environmental and public health concern in Uganda; however, the evolution of atmospheric pollution research in the country has not been comprehensively synthesized. This study presents a scoping review of peer-reviewed literature published between 1990 and 2025, examining the temporal trends in research output, key pollutants investigated, the study environments and research methodological approaches. A structured literature search was conducted across three academic databases (Google Scholar, Web of Science, and PubMed) and eligible studies were screened and analysed using a standardized data extraction framework. The results reveal highly uneven growth in research output, with minimal activity prior to 2010, followed by rapid expansion after 2015 and a pronounced surge between 2020 and 2025. Particulate matter (PM_2.5 and PM₁₀) dominated the literature across all periods, while gaseous pollutants such as NO₂, SO₂, CO, and O₃ were comparatively underrepresented. Most studies were conducted in urban environments, particularly in Kampala, whereas rural ambient monitoring remained limited. Methodologically, the literature evolved from proxy-based and gravimetric approaches to the increased use of low-cost sensors, portable monitors and satellite-derived data. Despite recent advances, the predominance of short-term and spatially constrained studies highlights persistent gaps in long-term and nationally representative air quality monitoring. This review synthesizes trends, methodological developments, and evidence gaps in atmospheric pollution research in Uganda over a 35-year period, providing a foundation for strengthening future monitoring and policy frameworks. Full article

Background: Pericardial involvement is the most common cardiac manifestation of systemic lupus erythematosus (SLE), ranging from mild effusion to recurrent pericarditis and cardiac tamponade. The influence of antiphospholipid syndrome (APS) on lupus-related pericardial disease remains unclear. Methods: A systematic review was conducted in accordance with PRISMA 2020 guidelines and registered in PROSPERO. PubMed, Web of Science, Scopus, and the Cochrane Library were searched from inception to January 2026 for observational studies evaluating pericardial manifestations in adult SLE patients. APS/aPL status was considered a potential modifying factor when reported. Results: Seven observational studies were included. Pericardial involvement ranged from acute and recurrent pericarditis to large effusions and cardiac tamponade. Across studies, it was consistently associated with higher disease activity and markers of immune activation. Recurrent pericarditis emerged as a clinically relevant phenotype linked to more severe disease and worse outcomes. Cardiac tamponade, although rare, was associated with significant morbidity and mortality. APS/aPL-related data were heterogeneous and inconsistently reported across studies. No consistent APS-specific association with pericardial disease could be established, although APS or aPL-related findings were occasionally reported in selected severe or clinically complex presentations. Conclusions: Pericardial involvement in SLE reflects systemic inflammatory burden and spans a broad clinical spectrum. Current evidence regarding APS remains limited and heterogeneous, although APS may contribute to disease complexity in selected severe presentations. Importantly, isolated aPL positivity should not be interpreted as equivalent to formally classified APS. Prospective studies with standardized definitions and systematic assessment of APS are needed. Full article

Obesity is a major global health challenge strongly associated with increased cardiometabolic morbidity and mortality. In men, obesity is characterized by a predominance of visceral adiposity, which is metabolically active and closely linked to systemic inflammation, hormonal dysregulation, and adverse cardiovascular outcomes. Despite its clinical relevance, male obesity remains underrecognized as a distinct pathophysiological condition. This study aimed to analyze the inflammatory mechanisms underlying male obesity and their relationship with cardiometabolic risk. A structured narrative review was conducted based on a PICo-guided research question, with literature searches performed in PubMed/MEDLINE, Scopus, Web of Science, Embase, and ScienceDirect, covering publications from 2015 to 2026. Studies focusing on male obesity, inflammatory pathways, and cardiometabolic outcomes were included. Evidence indicates that visceral adipose tissue acts as an active endocrine organ, releasing pro-inflammatory cytokines such as TNF-α and IL-6, contributing to chronic low-grade inflammation. This inflammatory state is associated with insulin resistance (IR), endothelial dysfunction, and oxidative stress, mediated by intracellular pathways including NF-κB and JNK. Additionally, adipokine imbalance, characterized by reduced adiponectin and increased leptin levels, further exacerbates metabolic and vascular impairment. Hormonal alterations, particularly reduced testosterone levels, play a key role in amplifying visceral fat accumulation and inflammation, creating a bidirectional relationship between hypogonadism and metabolic dysfunction. Clinically, these mechanisms highlight the importance of integrating inflammatory biomarkers, body composition assessment, and hormonal evaluation into the management of male obesity. Emerging therapies, including GLP-1 receptor agonists and immunometabolic interventions, offer promising strategies for reducing cardiometabolic risk. In conclusion, male obesity represents a complex, inflammation-driven condition requiring a comprehensive and mechanism-based approach to improve clinical outcomes and guide future therapeutic developments. Full article

The Lazarus phenomenon (LP), also called auto-resuscitation, may happen after the end of ineffective cardiopulmonary resuscitation (CPR), or after death is confirmed in a person who did not undergo CPR, and heart activity returns spontaneously. The aim of the study was to focus on older individuals (aged >60) experiencing the LP and to analyse distractors that cause this phenomenon. Methods. PubMed, Scopus, and Web of Science electronic databases were searched to find cases of LP from the year 1982 until 31 December 2025. Of the 81 total cases found, 48 patients were included in the study. For the analysis they were divided into two subgroups dependent on age: No 1 (60–79), No 2 (≥80). Results. Based on the descriptive analysis, the causes of cardiac arrest were divided almost equally between cardiac and non-cardiac causes (47.6% and 52.3% respectively). Cardiac arrest occurred equally in the IH and OH. In 16 out of 37 cases where such data were reported, a return to consciousness was confirmed, representing 43.2%. Conclusions. In older people, even those of very advanced age, the Lazarus phenomenon may occur. Based on the analysis carried out and given the lack of available data and the small sample size (48 individuals), it is not possible at this stage to definitively identify the causes of LP in the elderly population. As a potential cause of LP, age-related changes should be taken into account. Given that LP also occurs in the older population, consideration should be given to the need for extended monitoring of vital signs following the declaration of death. With a view to raising awareness of LP, it seems appropriate to include information on this phenomenon in the CPR guidelines. Full article

Background: Motor competence (MC), physical activity (PA), and physical fitness (PF) are interrelated components of child development, yet evidence on the MC–PF–PA triad in middle childhood remains inconsistent due to methodological heterogeneity. Objective: To synthesise associations between MC, PF, and PA in children aged 5–10 years (2020–2025) and to appraise methodological quality and certainty. Methods: A PRISMA 2020-compliant systematic review (PROSPERO: CRD42024617560) searched six databases (PubMed, Scopus, Web of Science, SportDiscus, SciELO, PsycINFO) from January 2020 to April 2025, updated November 2025. Eligible observational studies in English reported quantitative associations between ≥2 constructs in 5–10-year-olds using validated instruments. Risk of bias was appraised in duplicate with JBI checklists. Quantitative pooling was unfeasible under a pre-specified pooling matrix; associations were synthesised narratively and certainty rated using a GRADE-style framework. Results: Thirteen studies (n = 43–1064; 11 cross-sectional, 2 longitudinal) were included; six were low, five moderate, and two high risk of bias. MC–PA was predominantly positive, especially with objective instruments; MC–PF was consistently positive; PF–PA was less consistent but trended positive longitudinally. Mediation/moderation analyses (k = 3) supported roles for perceived competence, self-efficacy, and PF. Null/negative findings clustered among subjective PA measures and higher risk of bias. GRADE certainty was low-to-moderate. Conclusions: MC, PF, and PA are interconnected in middle childhood, but cross-sectional predominance and instrument heterogeneity preclude causal inference; findings are provisional and should drive longitudinal, methodologically standardised research. Full article