Following on from our webinar, personalised nutrition for metabolic health, we’ve pulled together some of the key resources and references discussed within the webinar. If you missed the live webinar, you can register to watch the recording for 60 minutes of endorsed CPD.


Asnicar F, Berry SE, Valdes AM, Nguyen LH, Piccinno G, Drew DA, Leeming E, Gibson R, Le Roy C, Khatib HA et al. Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals. Nat Med. 2021 Feb;27(2):321-332. doi: 10.1038/s41591-020-01183-8. Epub 2021 Jan 11. PMID: 33432175; PMCID: PMC8353542.

Bermingham KM, Spector TD, Hadjigeorgiou G, Wolf J, Forde CG, Berry SE. Slower self-reported eating rate is associated with favourable cardio-metabolic risk factors in UK adults. Proceedings of the Nutrition Society. 2023;82(OCE1):E32. doi:10.1017/S002966512300040X

Bermingham KM, Mazidi M, Franks PW, et al. Characterisation of Fasting and Postprandial NMR Metabolites: Insights from the ZOE PREDICT 1 Study. Nutrients. 2023;15(11):2638. Published 2023 Jun 5. doi:10.3390/nu15112638

Bermingham KM, May A, Asnicar F, et al. Snack quality and snack timing are associated with cardiometabolic blood markers: the ZOE PREDICT study. Eur J Nutr. 2024;63(1):121-133. doi:10.1007/s00394-023-03241-6

Bermingham KM, Stensrud S, Asnicar F, et al. Exploring the relationship between social jetlag with gut microbial composition, diet and cardiometabolic health, in the ZOE PREDICT 1 cohort. Eur J Nutr. 2023;62(8):3135-3147. doi:10.1007/s00394-023-03204-x

Berry SE, Valdes AM, Drew DA, et al. Human postprandial responses to food and potential for precision nutrition [published correction appears in Nat Med. 2020 Nov;26(11):1802]. Nat Med. 2020;26(6):964-973. doi:10.1038/s41591-020-0934-0

Howard R, Guo J, Hall KD. Imprecision nutrition? Different simultaneous continuous glucose monitors provide discordant meal rankings for incremental postprandial glucose in subjects without diabetes. Am J Clin Nutr. 2020;112(4):1114-1119. doi:10.1093/ajcn/nqaa198

Merino J, Linenberg I, Bermingham KM, et al. Validity of continuous glucose monitoring for categorizing glycemic responses to diet: implications for use in personalized nutrition. Am J Clin Nutr. 2022;115(6):1569-1576. doi:10.1093/ajcn/nqac026

Tsereteli, N., Vallat, R., Fernandez-Tajes, J. et al. Impact of insufficient sleep on dysregulated blood glucose control under standardised meal conditions. Diabetologia 65, 356–365 (2022).

Wyatt P, Berry SE, Finlayson G, et al. Postprandial glycaemic dips predict appetite and energy intake in healthy individuals [published correction appears in Nat Metab. 2021 Jul;3(7):1032]. Nat Metab. 2021;3(4):523-529. doi:10.1038/s42255-021-00383-x

Zeevi D, Korem T, Zmora N, et al. Personalized Nutrition by Prediction of Glycemic Responses. Cell. 2015;163(5):1079-1094. doi:10.1016/j.cell.2015.11.001


The “Personalized Responses to Dietary Composition Trial-1 ”- The first in a series of large-scale, robust nutritional science studies designed to quantify and predict individual metabolic responses to different foods.

Food4Me Study

An international group of experts to survey the current knowledge of personalised nutrition, and to explore the application of individualised nutrition advice. 


Webinar Expert Speakers

Webinar Speaker: Dr Sarah Berry

@saraheeberry  @drsarahberry

Webinar Chair: Dr Leta Pilic



A-Z of Food Trends for 2024