Search Results (1,370)

Although plant sap analysis is a practical, real-time approach to nutrient monitoring, current practice still relies on single-day diagnostics. Because management interventions and environmental drivers can rapidly modulate physiological processes that shape metabolite pools, we hypothesized that sap composition is not temporally stable but instead undergoes significant inter-day shifts under field conditions. To test this, we conducted a five-day field trial in broccoli, quantifying sap pH, EC, K⁺, NO₃⁻, and °Bx daily under five extraction methods. Extraction method had a negligible effect on inter-day shifts (%Δ), whereas chemical parameters differed markedly, ranking pH (0.8%) < °Bx (3.7%) < K⁺ (5.9%) < EC (6.2%) < NO₃⁻ (8.2%). The largest observed changes across successive days were 0.13 pH units, 0.49 °Bx, 6.94 mmol/L K⁺ (271 mg/L), 1.17 dS/m EC, and 11.98 mmol/L NO₃⁻ (743 mg/L). These results show that inter-day instability can bias single-day diagnostics, motivating adoption of new sampling strategies. We urge researchers and advisors to account for inter-day variation and incorporate multi-day sampling into experimental design and decision-making until predictive frameworks are available. Addressing this dimension will improve sap diagnostic reliability and support more sustainable, science-based nutrient management. Full article

Background/Objectives: Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, with elevated low-density lipoprotein cholesterol (LDL-C) and total cholesterol (TC) being major risk factors. Diet is a key modulator of these parameters, and healthful plant-based diets—popular particularly among women—are associated with cardiovascular benefits. The present study aimed to evaluate the serum lipid profile and to identify dietary components associated with differences in lipid fractions in healthy women adhering to different dietary patterns. Methods: This was a cross-sectional, single-center, convenience sample study of 128 healthy women of similar age, normal BMI, and comparable body fat, allocated to four dietary groups: vegans (n = 45), lacto-ovo-vegetarians (n = 52), pescatarians (n = 12), and omnivores (n = 19). Serum lipid profiles were determined using enzymatic kits. Intake of selected nutrients was assessed based on 7-day dietary records. Physical activity was estimated using the physical activity level (PAL) index. Analyses included different ANOVA approaches and PCA. Results: Omnivores exhibited the highest serum concentrations of LDL-C, TC, and TGs compared with other dietary groups. A significant association was noted between elevated TC and higher intake of saturated fatty acids (SFAs), cholesterol, and animal protein, accompanied by lower intake of fiber and plant protein. Additionally, women with lower TGs and higher HDL-C showed lower PAL values. No significant differences in HDL-C concentrations were observed between groups. Conclusions: Plant-based diets, defined by lower consumption of SFAs, cholesterol, and animal protein alongside higher intake of fiber and plant protein, were associated with a more favorable lipid profile. These findings support the role of vegetarian and vegan diets in CVDs prevention and management, particularly when coupled with regular physical activity; however, further interventional studies among diverse populations are necessary to confirm our results. Full article

Background and Objectives: Dynamic nutrient profiling represents a paradigm shift in personalized nutrition, integrating real-time nutritional assessment with individualized dietary recommendations through advanced algorithmic approaches, biomarker integration, and artificial intelligence. This comprehensive systematic review and meta-analysis examines the current state of dynamic nutrient profiling methodologies for personalized diet planning, evaluating their effectiveness, methodological quality, and clinical outcomes. Methods: Following PRISMA 2020 guidelines, we conducted a comprehensive search of electronic databases (PubMed/MEDLINE, Scopus, Web of Science, IEEE Xplore, and Google Scholar) from inception to December 2024. The protocol was prospectively registered in PROSPERO (Registration: CRD42024512893). Studies were systematically screened using predefined inclusion criteria, quality was assessed using validated tools (RoB 2, ROBINS-I, Newcastle–Ottawa Scale), and data were extracted using standardized forms. Random-effects meta-analyses were performed where appropriate, with heterogeneity assessed using I² statistics. Publication bias was evaluated using funnel plots and Egger’s test. Results: From 2847 initially identified records plus 156 from additional sources, 117 studies met the inclusion criteria after removing 391 duplicates and systematic screening, representing 45,672 participants across 28 countries. Studies employed various methodological approaches: algorithmic-based profiling systems (76 studies), biomarker-integrated approaches (45 studies), and AI-enhanced personalized nutrition platforms (23 studies), with some studies utilizing multiple methodologies. Meta-analysis revealed significant improvements in dietary quality measures (standardized mean difference: 1.24, 95% CI: 0.89–1.59, p < 0.001), dietary adherence (risk ratio: 1.34, 95% CI: 1.18–1.52, p < 0.001), and clinical outcomes including weight reduction (mean difference: −2.8 kg, 95% CI: −4.2 to −1.4, p < 0.001) and improved cardiovascular risk markers. Substantial heterogeneity was observed across studies (I² = 78–92%), attributed to methodological diversity and population characteristics. AI-enhanced systems demonstrated superior effectiveness (SMD = 1.67) compared to traditional algorithmic approaches (SMD = 1.08). However, current evidence is constrained by practical limitations, including the technological accessibility of dynamic profiling systems and equity concerns in vulnerable populations. Additionally, the evidence base shows geographical concentration, with most studies conducted in high-income countries, underscoring the need for research in diverse global settings. These findings have significant implications for shaping public health policies and clinical guidelines aimed at integrating personalized nutrition into healthcare systems and addressing dietary disparities at the population level. Conclusions: Dynamic nutrient profiling demonstrates significant promise for advancing personalized nutrition interventions, with robust evidence supporting improved nutritional and clinical outcomes. However, methodological standardization, long-term validation studies exceeding six months, and comprehensive cost-effectiveness analyses remain critical research priorities. The integration of artificial intelligence and multi-omics data represents the future direction of this rapidly evolving field. Full article

Background: Circadian rhythm disruption caused by shift work alters metabolic and hormonal pathways, which accelerates chronic disease onset, leading to decreased quality and quantity of life. This study aimed to determine whether a practical lifestyle intervention emphasizing nutrition timing and recovery habits could mitigate the metabolic and psychological effects of night-shift work. We conducted a randomized, open-label, crossover trial with two 8-week periods. Methods: Female healthcare workers (n = 13) aged 18–50 years with a body mass index (BMI) between 27 and 40 kg/m² and working predominantly night shifts (≥30 h/week for ≥6 months) were randomized. During the 8-week intervention phase, participants received daily text messages with guidance on food, sleep/rest, and physical activity and were provided with whey protein isolate powder and grain-based snack bars to consume during work shifts. The program targeted improved nutrient timing, adequate protein intake, and structured rest without formal exercise training, allowing evaluation of dietary and behavioral effects feasible for this population. Total caloric (~30 kcal/kg lean mass) and protein (2 g/kg lean mass) needs were measured, along with sleep/rest goals of 6–8 h/24 h. Primary outcome measures were change in visceral fat percentage (VF%) by DXA and mental/physical quality of life (RAND SF-12). Secondary outcomes included fasting triglycerides, ALT, blood glucose, LDL, actigraphy, and fecal microbiome. Mixed-design two-way ANOVA was conducted to assess the effects of group (immediate [IG] and delayed [DG]), time (baseline, 8-week crossover, and week 16), and Group $\times$ Time (GxT) interactions, and Bonferroni correction was applied to post hoc t-tests. Results: Eleven participants completed the study. Both groups increased dietary protein intake (p < 0.001), and a GxT interaction for VF% (p = 0.039) indicated DG reduced VF% to a greater extent (−0.335 ± 0.114% (p = 0.003) vs. 0.279 ± 0.543% (p = 0.158)). Mental and physical QOL, objectively measured physical activity and sleep, serum lipids and inflammatory markers, and fecal microbiota remained unchanged (p > 0.05 for all GxT). Conclusions: The findings suggest that targeted nutrition and recovery strategies can modestly improve dietary intake and visceral fat; however, consistent with prior work, interventions without structured exercise may be insufficient to reverse broader metabolic effects of circadian disruption. This trial was registered at ClinicalTrials.gov, identifier: NCT06158204, first registered: 28 November 2023. Full article

A significant gap in specific nutritional guidelines for ruminants with compromised health exists. Due to their unique anatomy, physiology, and metabolic processes, further research is needed to establish accurate, evidence-based recommendations tailored to these animals. This review highlights the critical role of clinical ruminant nutrition and provides provisional recommendations based on studies in other species (e.g., changes in nutrient requirements in different morbidities available for humans and less for companion animals). These suggestions should be interpreted cautiously until more definitive, species-specific data become available. The review includes the foundational principles of clinical nutrition in ruminants, with particular emphasis on the pathophysiology of nutrient utilization. It explores the roles of energy, protein, vitamins, and minerals during illness or injury and discusses how these nutrients can be strategically applied in clinical interventions. Considerations for designing diets for compromised ruminants are also addressed, considering both physiological needs and the challenges posed by illness and injury states. Practical aspects of diet delivery during treatment are examined, including the indications, benefits, limitations, and potential side effects of route of feeding. Clinical nutrition can be administered orally, enterally (including rumen delivery) or parenteral, depending on the localization of the pathology and the integrity of the alimentary tract. Nutrients should be provided based on livestock requirements and pathophysiology and severity of the primary morbidity. Oral or ruminal provision of diet should be prioritized to maintain rumen functionality. Additionally, a list of pharmaconutrients with potential clinical applications in ruminant medicine is presented to encourage future research and integration into veterinary practice. The success of clinical nutritional interventions can be measured by improvements in appetite, behavior, and health of the compromised ruminant. Full article

Albic soil is acidic and nutrient-deficient, resulting in low soil fertility that significantly limits the sustainable utilization of arable land. Microbial inoculants have emerged as promising biotechnological interventions to enhance soil quality by stimulating microbial activity and facilitating nutrient accumulation. This study focused on improving the characteristics of albic soil through the incorporation of straw residues combined with inoculation treatments involving arbuscular mycorrhizal fungi (AMF) and Trichoderma. Four experimental treatments were established: a Control (CK), single inoculation with AMF (AM), single inoculation with Trichoderma (TL), and a combined inoculation of both (AT). The investigation focused on assessing the synergistic effects of the AT treatment on albic soil chemical characteristics and its microbial community structure. The AT treatment significantly elevated rhizosphere soil pH, TN, and TP by 3.8%, 19.2%, and 10.9%, respectively, relative to the Control. The AT treatment markedly enhanced soil cellulase, β-glucosidase, and lignin peroxidase activities by 24.9%, 77.6%, and 36.7%, respectively, and increased the SQI by 78.9% compared to CK. Furthermore, the AT treatment led to a higher correlation abundance of Sphingomonas and aerobic chemoheterotrophs taxa. Structural equation modeling (SEM) uncovered that the interactions between AMF and Trichoderma modulated microbial community functions, augmented soil enzyme activities, promoted nutrient accumulation, and consequently improved albic soil quality. This study elucidates arbuscular mycorrhizal and Trichoderma longibrachiatum interactions with the soil environment, providing insights for improving albic soil health and microbial community structure. Full article

Influenza viruses are adept at hijacking host cellular machinery to facilitate their replication and propagation. A critical aspect of this hijacking involves the reprogramming of host cell metabolism. This review summarizes current findings on how influenza virus infection alters major metabolic pathways, including enhanced glycolysis, suppression of oxidative phosphorylation, diversion of TCA cycle intermediates for biosynthesis, and upregulation of lipid and amino acid metabolism. Key nutrients like glucose, glutamine, and serine are redirected to support viral RNA synthesis, protein production, and membrane formation. Moreover, these metabolic changes also modulate host immune responses, potentially aiding in immune evasion. We highlight the role of transcription factors such as SREBPs in lipid synthesis and the impact of one-carbon metabolism on epigenetic regulation. Finally, we discuss how targeting virus-induced metabolic shifts, using agents like 2-deoxyglucose or fatty acid synthesis inhibitors, offers promising avenues for antiviral intervention, while emphasizing the need for selective approaches to minimize harm to normal cells. Full article

Background/Objectives: The aging population faces a multitude of health challenges, particularly when it comes to maintaining proper nutrition. Age-related physiological changes, such as decreased metabolism, diminished taste perception, and difficulty in chewing, can lead to insufficient nutrient intake, ultimately resulting in malnutrition. It is crucial to address these issues to promote not only physical health but also overall well-being. In this modern era, artificial intelligence (AI) technologies, including robots and machine learning algorithms, are being increasingly harnessed to encourage healthy eating habits among older adults. This is critical to support healthy aging and mitigate diet-related chronic diseases. However, little or no synthesis has established their effectiveness in delivering personalized, scalable, and adaptive interventions for older adults. This systematic review considers the state-of-the-art application of AI-based interventions aimed at improving dietary behaviors and nutritional outcomes in older adults. Methods: Following the PRISMA 2020 guidelines and a registered PROSPERO protocol (ID: CRD420241045268), we systematically analyzed 30 studies we collected from five databases, published between 2015 and 2025 based on different AI techniques, including machine learning, natural language processing, and recommender systems. We synthesized data collected from these studies to examine the intervention types, outcomes, and methodological approaches. Results: Findings from our review highlight the potential of AI-based interventions to promote engagement among older adults and improve adherence to healthy eating guidelines. Additionally, we found some challenges related to ethical concerns such as privacy and transparency, and limited evidence of their long-term effectiveness. Conclusions: AI-based interventions offer significant promise in promoting healthy eating among older adults through personalized, adaptive, and scalable interventions. Yet, current evidence is constrained by some methodological limitations and ethical concerns, which calls for future research to design inclusive, evidence-based AI interventions that address the unique physiological, psychological, and social needs of older adults. Full article

Food insecurity, financial loss, and a decline in agricultural output are among the significant challenges to the global food chain caused by extreme climatic events, high variability and change, rapid urbanization, and land degradation. Therefore, it is essential to explore alternative, sustainable agricultural practices to meet the growing population’s food needs. Sustainable agriculture is foundational to farm management, rural development, and water conservation. This includes sustainable practices such as crop rotation, intercropping, and planting crops with varying rooting depths to maximize soil moisture absorption, as well as mulching to improve nutrient recycling and enhance productivity in smallholder cropping systems. The adoption of sustainable agricultural practices has become a priority for smallholder farmers, policymakers, extension agents, and agricultural experts to improve agricultural productivity, contribute to food security, and generate income. However, adoption rates have been slow, especially in Southern Africa, due to a lack of access to technology, financial constraints, limited information, and limited knowledge. This review was conducted using a comprehensive literature search on the adoption of sustainable agricultural practices by legume smallholders, examining various factors that contribute to the failure of legume smallholder farmers to adopt new agricultural practices. The timeframe of the reviewed literature was from 2010 to 2024. The results showed that smallholder farmers face numerous challenges, including limited access to technology, inadequate knowledge, and insufficient financial resources. Research conducted by the Water Research Commission (WRC) indicates that commercial farmers have access to technology, and this group of farmers possesses more substantial financial resources compared to smallholder farmers. In the adoption of sustainable agricultural practices. It is essential to strengthen the linkage between researchers, agricultural extension, and legume smallholder farmers to promote sustainable agricultural practices (SAPs). Smallholder farmers must be informed about such interventions and sustainable agricultural practices to improve rural livelihoods and enhance resilience, adaptation, and responsiveness. Full article

Obesity and asthma are increasingly prevalent chronic conditions that often coexist in the pediatric population and may influence each other through shared pathophysiological mechanisms. Obesity can affect asthma expression and severity via mechanical effects on the lungs, systemic inflammation, altered adipokine levels, and metabolic dysregulation. These mechanisms contribute to a distinct asthma phenotype in children with obesity that is often less responsive to standard therapy. Nutrition plays a critical role in this context by influencing immune function, inflammation, and respiratory outcomes. Specific dietary patterns, such as the Mediterranean diet, along with nutrients including vitamin D, antioxidants, and polyunsaturated fatty acids, have been associated with the modulation of airway inflammation and asthma risk. Additionally, early-life nutritional exposures and gut microbiota composition may influence immune development and the propensity for allergic diseases. This narrative review aims to synthesize current evidence on the interplay between obesity, asthma, and nutrition in the pediatric population, highlighting potential dietary interventions and targets for improved asthma management in children with obesity. Full article

Soybeans (Glycine max) are nutrient-dense legumes and a high-quality plant-based protein source containing all essential amino acids. With a protein content of 36–40%, soy surpasses many other plant-derived proteins in nutritional value. Its bioactive components, particularly peptides and isoflavones, contribute to reducing inflammation, oxidative stress, and the risk of chronic diseases. In undernourished regions such as Pakistan, where protein-energy malnutrition is prevalent among women and children, soy offers a sustainable and cost-effective nutritional intervention. This review synthesizes findings from biochemical analyses, nutritional profiling, and clinical trials evaluating the impact of soybean protein and its bioactive compounds on growth, metabolic health, immune function, and disease prevention. Emphasis was placed on studies relevant to food-insecure populations and technological innovations enhancing soy product bioavailability. Soy protein has been shown to have positive effects on hormonal regulation, cardiovascular health, cognitive function, and immune support. Technological approaches such as fortification and fermentation improve nutritional bioavailability and sensory acceptance. The integration of soy into local diets enhanced nutritional adequacy, promoted environmental sustainability, and aligned with Sustainable Development Goals. Soybeans represent a sustainable, nutrient-rich solution to combat protein-energy malnutrition in vulnerable communities. Their high-quality protein profile, therapeutic properties, and adaptability to local food systems make them an effective strategy for improving public health and supporting environmental resilience. Full article

Long-term greenhouse operations face a critical challenge in the form of soil quality degradation, yet the key intervention periods and underlying mechanisms of this process remain unclear. This study aims to quantify the effects of greenhouse lifespan on the evolution of soil quality and to identify critical periods for intervention. We conducted a systematic survey of greenhouse operations in a representative area of Yunnan Province, Southwest China, and adopted a space-for-time substitution design. Using open-field cultivation (OF) as the control, we sampled and analyzed soils from vegetable greenhouses with greenhouse lifespans of 2 years (G2), 5 years (G5), and 10 years (G10). The results showed that early-stage greenhouse operation (G2) significantly increased soil temperature (ST) by 8.38–19.93% and soil porosity (SP) by 16.21–56.26%, promoted nutrient accumulation and enhanced aggregate stability compared to OF. However, as the greenhouse lifespan increased, the soil aggregates gradually disintegrated, particle-size distribution shifted toward finer clay fractions, and pH changed from neutral to slightly alkaline, exacerbating nutrient imbalances. Compared with G2, G10 exhibited reductions in mean weight diameter (MWD) and soil organic matter (SOM) of 2.41–5.93% and 24.78–30.93%, respectively. Among greenhouses with different lifespans, G2 had the highest soil quality index (SQI), which declined significantly with extended operation; at depths of 0–20 cm and 20–40 cm, the SQI of G10 was 32.59% and 38.97% lower than that of G2, respectively (p < 0.05). Structural equation modeling (SEM) and random forest analysis indicated that the improvement in SQI during the early stage of greenhouse use was primarily attributed to the optimization of soil hydrothermal characteristics and pore structure. Notably, the 2–5 years was the critical stage of rapid decline in SQI, during which intensive water and fertilizer inputs reduced the explanatory power of soil nutrients for SQI. Under long-term continuous cropping, the reduction in MWD and SOM was the main reason for the decline in SQI. This study contributes to targeted soil management during the critical period for sustainable production of protected vegetables in southern China. Full article

Nitrogen eutrophication represents a significant environmental challenge in Chinese aquatic ecosystems, exacerbated by rapid agricultural intensification, industrial expansion, and urban development. This review consolidates existing knowledge on the drivers and impacts of nitrogen pollution in Chinese aquatic ecosystems, with a focus on environments such as lakes, rivers, and coastal waters. The primary sources of nitrogen enrichment are excessive fertilizer application, livestock manure discharge, industrial emissions, and untreated industrial and municipal wastewater. These inputs have led to severe ecological consequences, including harmful algal blooms, hypoxia, loss of biodiversity, and deteriorating water quality, threatening ecosystem health and human well-being. The review also examines mitigation strategies implemented in China, encompassing regulatory policies such as the “Zero Growth” fertilizer initiative, as well as technological advancements in wastewater treatment and sustainable farming practices. Case studies highlighting successful interventions, such as lake restoration projects and integrated watershed management, demonstrate the potential for effective nitrogen control. However, persistent challenges remain, including uneven policy enforcement, insufficient public awareness, and gaps in scientific understanding of nitrogen cycling dynamics. This review aims to inform future efforts toward achieving sustainable nitrogen management in China by synthesizing current research and identifying key knowledge gaps. Addressing these issues is crucial for safeguarding China’s aquatic ecosystems and promoting global nutrient stewardship. Full article

Background/Objectives: Sleep is pivotal for recovery, immunity, and energy restoration; however, sleep problems exist in elite athletes. Nutrition and supplementation strategies can play both a positive and negative role in sleep quality and quantity. Elite athletes experience unique psychological and physiological demands above non-elite athletes and may require different nutrition strategies to promote sleep. Nutrient interventions and their effect on sleep in elite athletes is an emerging area, with further research warranted. Methods: Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) extension for Scoping Reviews and Joanna Brigg’s Institute Reviewer’s Manual for Scoping Reviews were utilised to assess the available evidence on nutrition strategies used to promote sleep in elite athlete cohorts, and we tried to identify the interventions that could be best researched in the future. NUtrition QUality Evaluation Strengthening Tools (NUQUEST) was used to enhance rigour and assess risk of bias in studies. The Paper to Podium (P2P) Matrix was used to offer practitioners practical recommendations. Results: 12 studies met the inclusion criteria for nutrition interventions or exposures to promote sleep in elite athletes. The median participant group size was 19 and study designs were considered together to ascertain potential sleep promoting strategies. Kiwifruit, Tart Cherry Juice and high dairy intake, limited to females, have demonstrated the highest potential to promote sleep in elite athletes, despite limited sample sizes. A-lactalbumin, carbohydrate pre-bed, casein, tryptophan, probiotic and meeting energy demands showed varying results on sleep quality in elite athletes. Conclusions: Kiwifruit, Tart Cherry Juice and dairy consumption offer potential nutritional interventions to promote sleep in elite athletic populations, while protein-based interventions may have a ceiling effect on sleep quality when elite athletes are already consuming >2.5 g·kg⁻¹ body mass (BM) or are already meeting their sleep duration needs. Full article

Background: Metabolic flexibility, the ability to efficiently switch between fuel sources in response to changing nutrient availability and energy demands, is recognized as a key determinant of metabolic health. In a recent randomized controlled human feeding trial, overweight individuals receiving American black elderberry juice (EBJ) demonstrated improvements in multiple clinical indices of metabolic flexibility, but the mechanisms of action were unexplored. The objective of this study was to utilize RNA sequencing to examine how EBJ modulates the transcriptional response to fasting and feeding, focusing on pathways related to metabolic flexibility. Methods: Overweight or obese adults (BMI > 25 kg/m²) without chronic illnesses were randomized to a 5-week crossover study protocol with two 1-week periods of twice-daily EBJ or placebo (PL) separated by a washout period. RNA sequencing was performed on peripheral blood mononuclear cells from 10 participants to assess transcriptomic responses collected at fasting (pre-meal) and postprandial (120 min post-meal) states during a meal-challenge test. Results: The fasted-to-fed transition for EBJ showed 234 differentially expressed genes following EBJ consumption compared to 59 genes following PL, with 44 genes shared between interventions. EBJ supplementation showed significantly higher enrichment of several metabolic pathways including insulin, FoxO, and PI3K–Akt signaling. KEGG pathway analysis showed 27 significant pathways related to metabolic flexibility compared to 7 for PL. Conclusions: Our findings indicate that short-term elderberry juice consumption may promote metabolic flexibility in overweight adults. Full article