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Transforming personalized nutrition practice.

Michelle Barrow1, Linda Bell2, Celia Bell3

  • 1Centre for Nutrition Education and Lifestyle Management, Wokingham, Berkshire, United Kingdom.

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PubMed
Summary
This summary is machine-generated.

Personalized nutrition, integrating patient data and pathophysiological reasoning, can advance clinical practice and research. This approach transforms nutrition into P4 medicine: personalized, preventive, predictive, and participatory.

Keywords:
clinical practiceevidence-based practicenutrition practitionerpathophysiological reasoningpersonalized nutrition

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Area of Science:

  • Clinical Nutrition
  • Personalized Medicine
  • Nutritional Science

Background:

  • Current clinical nutrition practice has limitations in its research base.
  • The term "personalized nutrition" is used broadly, necessitating a clear definition.
  • Patient-centered care is often labeled as "personalized" without a robust evidence base.

Purpose of the Study:

  • To explore strengths and limitations of current clinical nutrition practices.
  • To define "personalized nutrition" and propose an evidence-based approach.
  • To outline a framework for transforming nutrition practice into P4 medicine.

Main Methods:

  • Review of current personalized nutrition terminology and practice.
  • Proposal of an evidence-based personalized practice model using comprehensive patient data.
  • Utilizing computational network modeling for predicting intervention efficacy.
  • Validation through blinded, randomized, controlled studies.

Main Results:

  • An evidence-based personalized nutrition model requires comprehensive data collection (genetics, lifestyle, biomarkers).
  • Computational modeling can predict intervention efficacy on a case-by-case basis.
  • This approach supports pathophysiological reasoning for targeted interventions.

Conclusions:

  • Personalized nutrition, grounded in evidence and pathophysiology, can drive research and innovation.
  • This model facilitates a shift towards P4 medicine (personalized, preventive, predictive, participatory).
  • Enhanced understanding of pathophysiology opens opportunities for various stakeholders, including the food industry.