The current clinical approach to feeding and eating disorders aimed to increase personalization of management

World Psychiatry, Journal Year: 2025, Volume and Issue: 24(1), P. 4 - 31

Published: Jan. 15, 2025

Feeding and eating disorders (FEDs) are a heterogeneous grouping of at the mind-body interface, with typical onset from childhood into emerging adulthood. They occur along spectrum disordered compensatory weight management behaviors, low to high body weight. Psychiatric comorbidities norm. In contrast other major psychiatric disorders, first-line treatments for FEDs mainly psychological and/or nutrition-focused, medications playing minor adjunctive role. Patients, carers clinicians all have identified personalization treatment as priority. Yet, FEDs, evidence base supporting this is limited. Importantly, related behaviors can serious physical consequences may put patient's life risk. these cases, immediate safety risk considerations least period need be prioritized over efforts care. This paper systematically reviews several key domains that relevant characterization individual patient FED aimed management. These include symptom profile, clinical subtypes, severity, staging, complications consequences, antecedent concomitant conditions, social functioning quality life, neurocognition, cognition emotion, dysfunctional cognitive schemata, personality traits, family history, early environmental exposures, recent stigma, protective factors. Where possible, validated assessment measures use in practice identified. The limitations current pointed out, possible directions future research highlighted. also novel approaches providing more fine-grained sophisticated ways personalize such those utilize neurobiological markers. We additionally outline remote measurement technologies designed delineate patients' illness recovery trajectories facilitate development intervention approaches.

Language: Английский

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Connecting precision nutrition with the Food is Medicine approach

Trends in Endocrinology and Metabolism, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 1, 2024

Language: Английский

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Editorial: Precision nutrition and nutrients: making the promise a reality

Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 27, 2025

1.IntroductionPrecision nutrition offers a transformative approach that transcends generic dietary guidelines, providing individualized strategies based on genetic, metabolic, and environmental variability (1). Unlike traditional frameworks, precision optimizes health outcomes by addressing specific genetic variations of individuals influence nutrient metabolism, such as single-nucleotide polymorphisms (SNPs) linked to differential responses vitamins, lipids, other nutrients metabolic disease risk (2-4).In addition genetics, the gut microbiome further modulates diet-health relationship (5, 6). Although not directly addressed in this issue, microbiome's importance absorption metabolism is undeniable (7, 8). Genetic predisposition interacts with lifestyle behaviors including stress, sleep, physical activity, intake, exposures, emphasizing need for integrative frameworks (9, 10). This special issue features eight studies exploring methodological advancements nutrition, SNPs influencing carotenoid bioavailability, gene-lifestyle interactions lipoprotein machine-learning applications predicting glycemic responses. Collectively, these contributions demonstrate growing potential prevention public strategies.2.Overview Special IssueThe featured encompass diverse approaches advancing (11-15).One study included substantially expands understanding novel SNPS (11) regulation carotenoids, particularly lutein, zeaxanthin. It also includes comprehensive review genome-based personalized technologies (15). Other address amino acid bioavailability (11, 13, 14), collectively highlighting role tailoring interventions. These findings form robust framework translating research into actionable clinical applications. 3.Theme Integration3.1. Basis Precision NutritionAdvances factors have laid foundation nutrition. Previous shown BCO1 gene are associated beta-carotene (16). The current investigation, however, identifies (rs6564851-C rs6420424-A) located upstream gene, new insights (11). were found significantly impact circulating levels lutein zeaxanthin, elucidating how Additionally, patent highlights expanding explores information increasingly being integrated recommendations, those tailored management While earlier reviews primarily focused without their application (17), emphasizes translation discoveries commercial settings, illustrating practical implementation approaches. advances field translated applications.3.2. Dietary Interventions Nutrient BioavailabilityThe investigation using indicator oxidation method, builds static measures content assess protein quality (18). enhances incorporating dynamic markers, more refined assessment complementarity mixed patterns (13, 14). Furthermore, exploration ketogenic therapy treating brain diseases represents an expansion its beyond epilepsy, well-established use literature (19). extends therapeutic scope diets include neurological conditions, Alzheimer's Parkinson's (20, 21). novelty lies adaptation interventions optimize across broader spectrum disorders. Together, illustrate promise improve through integrating cutting-edge methodologies interventions.3.3.Lifestyle Polygenic InteractionsThe critical individual variants, CETP_rs708272, modulating HDL-C cardiovascular well established (22, 23). However, presents identifying additional SNPs, ZPR1_rs3741297, BUD13_rs180327, ALDH1A2_rs588136, interact factors, energy intake sulfur-containing microbial diets, modulate (12) contrast previous predominantly effects single-gene variants (24). introduces elegant interjecting multiple factors. multifactorial perspective influences significant advance gene-environment interactions, paving way recommendations aimed at improving overall health.4. Path Forward: Nutrition PredispositionsThe future seamless integration multi-omics data, interventions, advanced computational tools. present Figure 1. Genome-wide association (GWAS) continue uncover whereas metabolomic profiling provides detailed (7). Intervention focusing responders non-responders modifications refine Machine learning algorithms emerged invaluable tools codifying complex datasets, evidenced successful technological driving evolution from theoretical applications.To bridge gap between practice, it essential translate recommendations. vitamin instance, serve supplementation protocols. Similarly, polygenic scores (PRS) provide accurate guidance (25). Developing meal plans align predispositions sustainable promising pathway real-world implementation.Future must prioritize inclusivity limitations studies, which been conducted European populations. lack diversity restricts generalizability underrepresented groups (26, 27). Expanding populations will ensure equitable access benefits help population-specific (28). In predispositions, emerging evidence suggests missense mutations or 5'- 3'-UTR regions, may drug targets (4). Nutrient-based could innovative management. Emerging mobile smartphone enable easy utilization medical nutritional many people, who limited high-quality healthcare. Mohajeri et al. (29) demonstrated phone support patients was preferred communicating information, especially preventive care. Florez al (30) utilizing three-dimensional imaging can be utilized obtaining anthropometric data assessing fitness status. developments suggest soon useful monitoring progress even remote locations.Finally, omics technologies, proteomics, transcriptomics, metabolomics, systems biology design nuanced functional food solutions, individual's unique microbiome, profile (31, 32). efforts pave effective, health, ultimately toward implementation.5. ConclusionThe represent ranging optimization. transform guidelines practice. challenges remain, scaling approaches, highlighted here clear path forward. ability consider With continued innovation collaboration disciplines, goal delivering becoming attainable reality, someday assure all people while simultaneously considering requirements.

Language: Английский

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Precision nutrition-based interventions for the management of obesity in children and adolescents up to the age of 19 years

Cochrane library, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 30, 2025

Language: Английский

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Integrating metabolomics for precision nutrition in poultry: optimizing growth, feed efficiency, and health

Frontiers in Veterinary Science, Journal Year: 2025, Volume and Issue: 12

Published: May 22, 2025

Nutrition is an important factor in poultry production. This review highlights how precision nutrition improves performance through metabolomics, which a multidisciplinary approach that integrates traditional with other fields, including biology, immunology, molecular genetics, computer sciences, chemistry, biochemistry, mathematics, engineering, and technology sciences. For measuring the results of body’s biochemical activities figuring out Living systems’ dynamic, multi-parametric metabolic response to pathological stimuli, metabolomics can be very useful instrument. Numerous techniques exist, emerging capillary electrophoresis (CE), gas chromatography mass spectrometry (GC–MS), nuclear magnetic resonance spectroscopy (NMR), liquid (LC–MS), inductively coupled plasma (ICP-MS), some targeted HPLC-based assays. Metabolomics help understanding metabolism diets (protein, carbohydrate, fat) pathways precise nutrition. revolutionize strategies, optimizing health, growth performance, efficiency by decoding interactions between diet, metabolism, physiology. aims highlight methodologies for integrating metabolomic data into feeding systems, ultimately enhancing sustainability, reducing production costs, improving welfare.

Language: Английский

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Stool Microbiome Features and Weight Change Response to Treatment for cancer cachexia

Journal of Cachexia Sarcopenia and Muscle, Journal Year: 2025, Volume and Issue: 16(3)

Published: May 5, 2025

Language: Английский

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Precision or Personalized Nutrition: A Bibliometric Analysis

Nutrients, Journal Year: 2024, Volume and Issue: 16(17), P. 2922 - 2922

Published: Sept. 1, 2024

Food systems face the challenge of maintaining adequate nutrition for all populations. Inter-individual responses to same diet have made precision or personalized (PN) an emerging and relevant topic. The aim this study is analyze evolution PN field, identifying principal actors topics, providing a comprehensive overview. Therefore, bibliometric analysis scientific research available through Web Science (WOS) database was performed, revealing 2148 papers up June 2024. VOSviewer WOS platform were employed processing analysis, included evaluation diverse data such as country, author most frequent keywords, among others. revealed period exponential growth from 2015 2023, with USA, Spain, England top contributors. field “Nutrition Dietetics” particularly significant, comprising nearly 33% total publications. highly cited institutions are universities Tufts, College Dublin, Navarra. relationship between nutrition, genetics, omics sciences, along dietary intervention studies, has been defining factor in PN. In conclusion, represents promising significant potential further advancement growth.

Language: Английский

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Dietary Bioactive Compounds and Human Health: The Role of Bioavailability

Nutrients, Journal Year: 2024, Volume and Issue: 17(1), P. 48 - 48

Published: Dec. 27, 2024

The relationship between dietary bioactive compounds and human health has generated significant interest among members of the scientific community general public [...]

Language: Английский

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Personalized diets based on multi-objective optimization of nutrition and sensory characteristics: A digital strategy for enhancing food quality

Trends in Food Science & Technology, Journal Year: 2024, Volume and Issue: 156, P. 104842 - 104842

Published: Dec. 12, 2024

Language: Английский

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Precision Nutrition: Leveraging Machine Learning for Personalized Dietary Recommendations and Health Outcomes

International Journal of Scientific Research and Management (IJSRM), Journal Year: 2024, Volume and Issue: 12(11), P. 1727 - 1745

Published: Nov. 22, 2024

Predictive nutrition is a relatively young science that aims at guiding the consumers to adhere those diets would match their specific genotype, gender, behavior patterns, and health conditions. subfield of AI known as machine learning (ML) has revolutionized practice in this realm due providing approaches for considering massive amounts data using data-driven interventions individual enhancement. Precision discussed paper include possibility ML techniques process order enhance outcomes patients. Through incorporation various datasets such genetic profile, biomarkers food consumption data, it possible models predict develop forecast with greater precision than past. Ethical issues, variability, algorithm bias are also recommendations on ways make model more reliable usable all stakeholders. This work establishes potential improving specifies need interdisciplinarity advance innovative, human-focused digital dietary solutions.

Language: Английский

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