Actively Recruiting
The Causal Role of Ketone Bodies in Obesity-associated Disease Prevention - Combining Genetic Epidemiology With a Randomised Trial to Infer Causality
Led by University of Bath · Updated on 2025-07-31
69
Participants Needed
1
Research Sites
243 weeks
Total Duration
On this page
Sponsors
U
University of Bath
Lead Sponsor
U
University of Bristol
Collaborating Sponsor
AI-Summary
What this Trial Is About
Excess weight increases the risk of several diseases including cardiovascular disease, type 2 diabetes, kidney disease and various cancers. There is a need for preventative strategies for obesity-associated disease, especially for people in the overweight and moderately obese ranges where pharmacological intervention may not be suitable. Low-carbohydrate (ketogenic) diets are popular for weight control. Ketogenic diets increase circulating ketones, which can have favourable effects on cardiometabolic health markers. However, the ketogenic diet has a nutrient composition associated with harms (high-saturated fat/red meat, and low-fibre). The net effects of ketogenic diets on long-term health are unclear. Ketone supplements can increase circulating ketones and could provide benefits of ketosis without needing to adhere to a potentially harmful diet. Establishing causality between complex exposures (e.g., diet) and long-term outcomes (e.g., disease), is challenging. The MRC \& NIHR Review of Nutrition and Human Health Research (2017) highlighted an "overreliance (as opposed to reasonable reliance) on observational studies" as a key barrier to progression in the field of nutrition and health. Randomised controlled trials (RCTs) facilitate causal inference, but for long-term outcomes are expensive, time-consuming, and often suffer from waning adherence. Mendelian randomization (MR) can estimate causal effects subject to key assumptions. A challenge to these assumptions includes complex behavioural exposures (e.g., diet), which could be intercorrelated with causal factors. Our proposal will address these limitations with a novel combination of study designs to establish causal effects of ketosis (via diet and supplementation) on obesity-associated disease risk in humans. The investigators will combine a tightly controlled, short-term RCT, with MR to link short-term responses to long-term endpoints. The investigators will examine the circulating (blood) and tissue-specific (adipose) transcriptomic and proteomic responses in the fasted and postprandial state in response to our dietary interventions and translate these to MR by identifying single-nucleotide polymorphisms from genome wide association studies. This approach overcomes limitations of RCTs and MR, as adherence to diets will be confirmed with controlled feeding, and intermediate molecular traits as exposure for MR are less likely to be intercorrelated with causal traits.
CONDITIONS
Official Title
The Causal Role of Ketone Bodies in Obesity-associated Disease Prevention - Combining Genetic Epidemiology With a Randomised Trial to Infer Causality
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Body mass index between 25 and 45 kg/m2
- Waist circumference greater than 93.9 cm for males or greater than 79.9 cm for females
- Age between 18 and 65 years
- All genders eligible
You will not qualify if you...
- Taking glucose or lipid lowering medication
- Diagnosis of cardiovascular disease, kidney failure, liver disease, or type 2 diabetes
- Contraindications to a ketogenic diet such as pancreatitis, liver failure, fat metabolism disorders, primary carnitine deficiency, carnitine palmitoyltransferase deficiency, carnitine translocase deficiency, porphyrias, or pyruvate kinase deficiency
- Unable to understand English language
AI-Screening
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Trial Site Locations
Total: 1 location
1
University of Bath
Bath, Bath, United Kingdom, BA2 7AY
Actively Recruiting
Research Team
J
Javier Gonzalez
CONTACT
S
Sophie L Russell, PhD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
BASIC_SCIENCE
Number of Arms
3
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