Akkermansia and Weight Maintenance

Overview

Obesity and related disorders such as type 2 diabetes are a worldwide diet-related problem. As such new treatment options are constantly being developed. Bacteria living in the gut seem to be a key player in the treatment of obesity and related metabolic diseases by influencing energy balance and the immune system. In terms of newly identified bacteria species, Akkermansia muciniphila (A. muciniphila) has been found to be related to obesity. Several animal studies have shown the beneficial impact of A. muciniphila on the treatment of body weight as well as insulin sensitivity. The growth requirements of live A. muciniphila as well as its oxygen sensitivity rendered this bacterium unsuitable for human investigations or putative therapeutic opportunities. Therefore, pasteurization, a mild heating method, and its impact on diet-induced metabolic disorders in mice were investigated. Unexpectedly, this method of inactivation did not negate the effect of A. muciniphila, but improved its beneficial metabolic effects. Pilot studies have provided further evidence that pasteurization of A. muciniphila is safe for human use and has the potential to beneficially affect the control of body weight and glucose metabolism. In this project, The investigators hypothesize that pasteurized A. muciniphila will be superior to placebo intervention in maintaining body weight after a phase of weight loss (low caloric diet) in adult participants with overweight or obesity.

RATIONALE This study will examine the influence of specific beneficial gut bacteria in relation to weight maintenance. The worldwide prevalence of obesity, obesity-associated insulin resistance, and type 2 Diabetes Mellitus (T2DM) has grown dramatically over the last couple of decades; in every region of the world, obesity prevalence has more than tripled since 1975. Even though obesity treatment strategies, such as lifestyle interventions (focussed on diet and/or physical activity) and bariatric surgery have improved, there is extensive variability in responses. In the short term, reducing body weight is relatively easy, for most people. However, maintaining weight loss in the long term is a challenge. Hence, novel strategies to reduce these pandemics and support weight maintenance are strongly warranted. The gut microbiome has emerged as an important regulator of host energy metabolism, thereby contributing to the etiology of obesity and obesity-related insulin resistance. However, scientific evidence is mainly derived from animal experiments and association studies, and support for causality in humans using mechanistic studies is limited. The influence of a newly identified bacterium, A. muciniphila. has been shown to be associated with a healthy intestine, and its abundance is inversely correlated to several disease states amongst others obesity and insulin resistance. However, the growth requirements of live A. muciniphila as well as its oxygen sensitivity(12) rendered this bacterium unsuitable for human investigations or putative therapeutic opportunities. Therefore, pasteurization, a mild heat inactivation method (30 min at 70 degrees Celsius), and its impact on diet-induced metabolic disorders in mice were investigated. Unexpectedly, this method of inactivation did not abolish the effect of A. muciniphila but even exacerbated its beneficial impacts. In mice, daily administration of pasteurized A. muciniphila alleviates diet-induced obesity. Moreover, a randomized, double-blind, placebo-controlled proof-of-concept study in overweight/obese insulin-resistant adults showed that the daily supplementation with pasteurized A. muciniphila for 12 weeks improved several metabolic parameters such as insulin sensitivity, insulinemia, plasma total cholesterol, as well as relevant blood markers for liver dysfunction and inflammation independently from any caloric restriction or modification of the physical activity. The investigators hypothesize that pasteurized A. muciniphila will be superior to placebo intervention in maintaining body weight after a low caloric diet in participants with overweight or obesity. OBJECTIVES 1. To investigate the effects of pasteurized A. muciniphila on the maintenance of body weight after a phase of weight loss. 2. To investigate the effects of pasteurized A. muciniphila on body composition and body fat distribution, glucose homeostasis and insulin sensitivity, and metabolic health. 3. To investigate the effects of pasteurized A. muciniphila on the fecal bacterial composition and functionality, systemic inflammation, and gut barrier function and identify relevant biomarkers. STUDY DESIGN The proposed study is a 32-week double-blind placebo-controlled randomized trial in 108 healthy overweight/ obese (BMI ≥ 28 kg/m2 \< 40 kg/m2) Dutch adults, aged 20-70 years. All participants will follow a commercially-prepared low-calorie diet, with 15-20 energy % from fat, 35-40 energy % from protein, and 45-50 energy % from carbohydrates for a period of 8 weeks, to lose 8% of their body weight. In addition to these prepared meals, participants will be allowed limited consumption of specific low-calorie vegetables. Participants will be randomized to either the placebo or the intervention group following the weight-loss period. The weight loss phase will be followed by a 24-week supplementation placebo or active ingredient and a weight maintenance period. Prior to, as well as during both phases of the study participants will receive regular weigh-ins (weeks 0, 1, 4, 8, 16, 24, and 32) and counseling from a registered dietician. In addition to measuring changes in weight and physical measurements, participants will fill in questionnaires, and provide blood and fecal samples at weeks 0, 8, and 32. QUALITY ASSURANCE Study activities will be carried out by qualified trained personnel, following standard operating procedures (SOP's). All research activities, including data entry and SOP compliance, will be monitored by an independent monitoring board, Clinical trial center Maastricht (CTCM). Data will be analyzed and handled according to the data management and statistical analysis plan.