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Big data and personalized nutrition: the key evidence gaps

Nature Metabolism (2024)Cite this article

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The field of personalized nutrition hypothesizes that ‘big data’ — biological, behavioural, social and environmental — can be leveraged to make more precise and effective dietary recommendations to individuals for improving health outcomes, compared to generic dietary advice. This article describes the research questions that need to be answered to understand whether personalized nutrition brings additional clinical utility.

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References

  1. Ordovas, J. M. et al. Br. Med. J. 361, bmj.k2173 (2018).

    Article  Google Scholar 

  2. King’s College London News Centre. Landmark Study Reveals Link Between Gut Microbes, Diet and Illnesses https://www.kcl.ac.uk/news/landmark-study-link-gut-microbes-diet-illnesses (2021).

  3. Berry, S. E. et al. Nat. Med. 26, 964–973 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Zeevi, D. et al. Cell 163, 1079–1094 (2015).

    Article  CAS  PubMed  Google Scholar 

  5. Popp, C. J. et al. JAMA Netw. Open 5, e2233760 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  6. Aldubayan, M. A. et al. Clin. Nutr. 41, 1834–1844 (2022).

    Article  CAS  PubMed  Google Scholar 

  7. Höchsmann, C. et al. Nat. Commun. 14, 6321 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  8. Ben-Yacov, O. et al. Diabetes Care 44, 1980–1991 (2021).

    Article  CAS  PubMed  Google Scholar 

  9. Kharmats, A. Y. et al. Am. J. Clin. Nutr. 118, 443–451 (2023).

    Article  PubMed  Google Scholar 

  10. ZOE METHOD study: comparing personalized vs. generalized nutrition guidelines. ClinicalTrials.gov https://clinicaltrials.gov/study/NCT05273268 (2022).

  11. de Hoogh, I. M. et al. Nutrients 13, 1763 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  12. Shamanna, P. et al. Sci. Rep. 11, 14892 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Anwar, M. A. et al. Healthc. Manag. Forum 33, 126–134 (2020).

    Article  Google Scholar 

  14. Celis-Morales, C. et al. Int. J. Epidemiol. 46, 578–588 (2017).

    PubMed  Google Scholar 

  15. Hillesheim, E. et al. Mol. Nutr. Food Res. 67, 2200620 (2023).

    Article  CAS  Google Scholar 

Download references

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Authors and Affiliations

  1. Department of Primary Care Health Sciences, University of Oxford, Oxford, UK

    Nicola Guess

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  1. Nicola Guess
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Correspondence to Nicola Guess.

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Competing interests

N.G. has received payment for consultancy services for digital dietary interventions and products for Diet Doctor, Fixing Dad (a low-carbohydrate app), Weight Watchers, Oviva and Babylon Health.

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Nature Metabolism thanks Anders Rosengren and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Guess, N. Big data and personalized nutrition: the key evidence gaps. Nat Metab (2024). https://doi.org/10.1038/s42255-023-00960-2

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