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Towards personalised molecular feedback for weight loss.


ABSTRACT:

Background

Numerous diets, apps and websites help guide and monitor dietary behaviour with the goal of losing weight, yet dieting success is highly dependent on personal preferences and circumstances. To enable a more quantitative approach to dieting, we developed an integrated platform that allows tracking of life-style information alongside molecular biofeedback measurements (lactate and insulin).

Methods

To facilitate weight loss, participants (?18?years) omitted one main meal from the usual three-meal routine. Daily caloric intake was restricted to ~1200KCal with one optional snack ?250KCal. A mobile health platform (personalhealth.warwick.ac.uk) was developed and used to maintain diaries of food intake, weight, urine collection and volume. A survey was conducted to understand participants' willingness to collect samples, motivation for taking part in the study and reasons for dropout.

Results

Meal skipping resulted in weight loss after a 24?h period in contrast to 3-meal control days regardless of the meal that was skipped, breakfast, lunch or dinner (p?p?=?0.01 and 0.05 respectively.

Conclusion

In a proof of concept study with a meal-skipping diet, we show that insulin and lactate values in urine correlate with weight loss, making these molecules potential candidates for quantitative feedback on food intake behaviour to people dieting.

SUBMITTER: Tejpal S 

PROVIDER: S-EPMC6501287 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Publications

Towards personalised molecular feedback for weight loss.

Tejpal Shilpa S   Sanghera Narinder N   Manoharan Vijayalaxmi V   Planas-Iglesias Joan J   Myler Kate K   Klein-Seetharaman Judith J  

BMC obesity 20190506


<h4>Background</h4>Numerous diets, apps and websites help guide and monitor dietary behaviour with the goal of losing weight, yet dieting success is highly dependent on personal preferences and circumstances. To enable a more quantitative approach to dieting, we developed an integrated platform that allows tracking of life-style information alongside molecular biofeedback measurements (lactate and insulin).<h4>Methods</h4>To facilitate weight loss, participants (≥18 years) omitted one main meal  ...[more]

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2017-10-28 | GSE106289 | GEO