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Potential Mechanisms of Precision Nutrition-Based Interventions for Managing Obesity.
Mehta, Neel H; Huey, Samantha L; Kuriyan, Rebecca; Peña-Rosas, Juan Pablo; Finkelstein, Julia L; Kashyap, Sangeeta; Mehta, Saurabh.
Afiliação
  • Mehta NH; Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States.
  • Huey SL; Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States; Center for Precision Nutrition and Health, Cornell University, Ithaca, NY, United States.
  • Kuriyan R; Division of Nutrition, St. John's Research Institute, Bengaluru, Karnataka, India.
  • Peña-Rosas JP; Global Initiatives, The Department of Nutrition and Food Safety, World Health Organization, Geneva, Switzerland.
  • Finkelstein JL; Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States; Center for Precision Nutrition and Health, Cornell University, Ithaca, NY, United States; Division of Nutrition, St. John's Research Institute, Bengaluru, Karnataka, India.
  • Kashyap S; Division of Endocrinology, Diabetes and Metabolism, Weill Cornell Medicine New York Presbyterian, New York, NY, United States.
  • Mehta S; Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States; Center for Precision Nutrition and Health, Cornell University, Ithaca, NY, United States; Division of Medical Informatics, St. John's Research Institute, Bengaluru, Karnataka, India. Electronic address: smehta@cornell.e
Adv Nutr ; 15(3): 100186, 2024 03.
Article em En | MEDLINE | ID: mdl-38316343
ABSTRACT
Precision nutrition (PN) considers multiple individual-level and environmental characteristics or variables to better inform dietary strategies and interventions for optimizing health, including managing obesity and metabolic disorders. Here, we review the evidence on potential mechanisms-including ones to identify individuals most likely to respond-that can be leveraged in the development of PN interventions addressing obesity. We conducted a review of the literature and included laboratory, animal, and human studies evaluating biochemical and genetic data, completed and ongoing clinical trials, and public programs in this review. Our analysis describes the potential mechanisms related to 6 domains including genetic predisposition, circadian rhythms, physical activity and sedentary behavior, metabolomics, the gut microbiome, and behavioral and socioeconomic characteristics, i.e., the factors that can be leveraged to design PN-based interventions to prevent and treat obesity-related outcomes such as weight loss or metabolic health as laid out by the NIH 2030 Strategic Plan for Nutrition Research. For example, single nucleotide polymorphisms can modify responses to certain dietary interventions, and epigenetic modulation of obesity risk via physical activity patterns and macronutrient intake have also been demonstrated. Additionally, we identified limitations including questions of equitable implementation across a limited number of clinical trials. These include the limited ability of current PN interventions to address systemic influences such as supply chains and food distribution, healthcare systems, racial or cultural inequities, and economic disparities, particularly when designing and implementing PN interventions in low- and middle-income communities. PN has the potential to help manage obesity by addressing intra- and inter-individual variation as well as context, as opposed to "one-size fits all" approaches though there is limited clinical trial evidence to date.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Dieta / Obesidade Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Revista: Adv Nutr Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Dieta / Obesidade Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Revista: Adv Nutr Ano de publicação: 2024 Tipo de documento: Article