Nutrition and Energy Restriction for Cancer Prevention

Since obesity has become a major public health concern appropriate strategies are needed in order to reduce obesity-related health risks in later life span. Obesity is one of the main risk factors not only for diabetes and cardiovascular diseases, but also for several types of cancer. Several key mechanisms, which may link obesity, metabolic dysregulation and cancer risk, such as obesity-driven inflammation, altered adipokine, growth factor and sex hormone signaling, and changes in the microbiota have been identified.

Various studies have shown that continuous calorie restriction (CCR) and exercise are effective strategies to enforce weight-loss and improve biomarker profiles. Intermittent calorie restriction (ICR) as a novel strategy might induce favorable metabolic changes and lead to higher compliance rates. The concept of this diet regime is very simple e.g. 2 days/week of fasting following a standardized diet covering 25 % of energy needs and 5 days/week of ad libitum consumption. To verify the effectiveness of ICR as an alternative weight loss strategy to CCR controlled intervention trials are required. Although both CCR and ICR induce a negative energy balance, the metabolic effect on human physiology might differ.

Within the HELENA-study 50 non-smoking adults (men and women aged 35 to 65 years) with an BMI ≥ 25 kg/m² and ≤ 40 kg/m² will be randomly assigned to each of the intervention arms: (1) ICR arm (2 day/week fasting, i.e. 25% energy intake, energy intake of 100% on 5 days/week leading to a weekly average energy intake of ~80%) (2) CCR arm (daily energy intake of 80%) and 3) control arm (general advice on healthy nutrition).

The trial will last 1 year, with an intervention phase of 12 weeks (weeks 0-12; intervention; close contact with participants), followed by a maintenance phase (weeks 13-24; maintenance; regular, but less frequent contact with participants) and a follow-up phase (weeks 25-52).

Biological specimens will be collected as follows:

Baseline (T0, week 1): Blood, urine, stool and subcutaneous adipose tissue samples; After 3 months (T1, week 13): Blood, urine, stool and subcutaneous adipose tissue samples; After 6 months (T2, week 25): Blood, urine, and stool; After 12 months (T3, week 52): Blood and urine; Magnet resonance tomography imaging (MRI, at T0, T1 and T3) and lifestyle assessments (nutrition behavior, physical activity and quality of life, T0-T3) will be performed to unravel the link to fat distribution, metabolic changes, health and lifestyle. The primary objective of the three-arm randomized controlled intervention trial is to investigate the effect of nutrition intervention on body weight and gene expression profile in subcutaneous adipose tissue of overweight and obese individuals. We hypothesize that better compliance rates will be achieved by the ICR rather than by the CCR group and that ICR will show a higher sustainability with respect to weight loss, weight maintenance, and biomarker profiles. The purpose of this study is further to analyze if the nutrition interventions and associated weight loss have different effects on abdominal fat distribution and liver fat content.

The statistical analysis will be carried out by using the SAS statistical software [SAS Institute Inc., Cary, NC, USA] or comparable software. Descriptive statistics, correlations and univariate analyses will be used to get insight on general characteristics of participants in the intervention groups. For the primary objective, two sided t-test and ANCOVA modelling will be performed to investigate whether changes in gene expression levels are affected by nutrition intervention. Comparisons between two groups (e.g. ICR and CCR or CCR/ICR and control group) will be carried out using t-tests and parallel comparison across the three groups will be carried out using ANCOVA models. Where applicable, the analyses will include adjustments for confounders, specially age and gender. Likewise, stratified analysis will be carried out as necessary. ANCOVA models will be performed to evaluate the effects of nutrition intervention on biomarker profiles, adjusted by strata age and gender. Similar evaluations will be performed for fat distribution patterns, quality of life, physical activity and nutrition patterns. In addition, correlation and linear regression analyses will be performed to measure effects of weight-loss, gene expression levels and metabolic profiles, controlled by nutrition intervention group.