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.
Research/Studies
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). https://doi.org/10.1007/s00125-021-05608-y
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 PREDICT Study
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
Webinar Chair: Dr Leta Pilic
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Fantastic presentation and innovative topic (health tech). I would love to hear more about personalised nutrition, and particularly CGMs (I work for a health tech company also using CGMs!). This field is exploding in healthy, athletic populations as well as in overweight and pre-diabetic populations.
I would also be interested in participating in the remote studies.
Many thanks for making this research available!