Nutrients

Background: Artificial intelligence (AI) is increasingly used in intensive care units (ICUs) to enable personalized care, real-time analytics, and decision support. Nutritional therapy—a major determinant of ICU outcomes—often remains delayed or non-individualized. Objective: This study aimed to review current and emerging AI applications in ICU nutrition, highlighting clinical potential, implementation barriers, and ethical considerations. Methods: A narrative review of English-language literature (January 2018–November 2025) searched in PubMed/MEDLINE, Scopus, and Web of Science, complemented by a pragmatic Google Scholar sweep and backward/forward citation tracking, was conducted. We focused on machine learning (ML), deep learning (DL), natural language processing (NLP), and reinforcement learning (RL) applications for energy/protein estimation, feeding tolerance prediction, complication prevention, and adaptive decision support in critical-care nutrition. Results: AI models can estimate energy/protein needs, optimize EN/PN initiation and composition, predict gastrointestinal (GI) intolerance and metabolic complications, and adapt therapy in real time. Reinforcement learning (RL) and multi-omics integration enable precision nutrition by leveraging longitudinal physiology and biomarker trajectories. Key barriers are data quality/standardization, interoperability, model interpretability, staff training, and governance (privacy, fairness, accountability). Conclusions: With high-quality data, robust oversight, and clinician education, AI can complement human expertise to deliver safer, more targeted ICU nutrition. Implementation should prioritize transparency, equity, and workflow integration.

Background and Objective: Streetlifting is a developing strength sport derived from calisthenics and based on maximal external load performance in weighted pull-ups, dips, muscle-ups, and squat variations. Its rapid global expansion has raised interest in identifying sport-specific nutritional and recovery strategies that can support performance and health. However, scientific evidence directly focused on streetlifting remains limited. This narrative review aims to summarize current knowledge regarding body composition, nutrition, supplementation, and sleep in streetlifting athletes by integrating findings from related strength sports. Methods: A narrative review design was adopted due to the scarcity of empirical studies on streetlifting. Searches were performed using the terms “streetlifting AND nutrition,” “streetlifting AND body composition,” and “streetlifting AND sleep quality.” Peer-reviewed studies involving comparable strength disciplines were included when directly applicable to performance or recovery determinants. Results: Performance in streetlifting appears strongly driven by strength-to-bodyweight ratio, supported by low-to-moderate fat mass and adequate lean mass. Evidence from resistance training literature suggests that meeting energy requirements, consuming 1.2–1.5 g/kg/day of protein, and using nutrient timing around training may enhance muscle protein synthesis and glycogen replenishment. Creatine supplementation shows consistent benefits for maximal strength and ATP turnover, whereas other supplements lack robust evidence. Sleep duration and quality contribute to neuromuscular recovery, endocrine balance, and cognitive readiness, though sport-specific findings are insufficient. Conclusions: Streetlifting athletes may benefit from integrated nutritional planning, evidence-based supplementation, and sleep optimization. Further sport-specific interventional and longitudinal studies are required to develop validated performance and health guidelines.

Iron constitutes an essential micronutrient in living organisms. All iron is absorbed into the body through dietary intake, except for exogenous therapeutic sources. Dietary iron is typically categorized as either heme or nonheme iron. Nonheme iron is essential for regulating iron in the body, as it exists in various forms, including soluble iron, storage iron within ferritin, and iron found in the catalytic centers of a wide range of proteins. Iron homeostasis is carefully managed to ensure that sufficient iron is available for critical biological processes while preventing the harmful effects that can arise from excess iron. The small peptide hormone hepcidin is the main regulator of iron homeostasis. Hepcidin and other iron regulatory molecules are regulated by various signaling pathways, such as IL-6/JAK-STAT, BMP/SMAD, and MAPK. Alterations in regulatory pathways may occur in response to iron accumulation or deficiency. Iron overload in the body can activate JAK/STAT, BMP/SMAD and MAPK pathways, leading to the initiation hepcidin synthesis. Conversely, in iron deficiency, as in hypoxic conditions or EPO-mediated signaling pathways, HAMP synthesis in the nucleus is reduced. Thus, this review provides an update on the possible regulatory pathways that play a role in iron regulation and may be potential therapeutic targets.