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47 active trials for Diet Modification

Dynamic Connectivity Under Metabolic Constraints

In this study, we investigate the impact of insulin resistance on the acceleration of brain aging, and test whether increased neuron insulin resistance can be counteracted by utilization of alternate metabolic pathways (e.g., ketones rather than glucose). This study has three Arms, which together provide synergistic data. For all three Arms, subjects are tested in a within-subjects design that consists of 2-3 testing sessions, 1-14 days apart, and counter-balanced for order. During each session we measure the impact of fuel (glucose in one session, ketones in the other) on brain metabolism and associated functioning. For Arms 1-2, our primary experimental measure is functional magnetic resonance imaging (fMRI), which we will use to trace the self-organization of functional networks following changes in energy supply and demand. Arm 1 tests the impact of endogenous ketones produced by switching to a low carbohydrate diet, while Arm 2 tests the impact of exogenous ketones consumed as a nutritional supplement. For Arm 3, we use simultaneous magnetic resonance spectroscopy/positron-emission tomography (MR/PET) to quantify the impact of exogenous ketones on production of glutamate and GABA, key neurotransmitters. Subjects will be given the option to participate in more than one of the Arms, but doing so is not expected nor required. Prior to scans, subjects will receive a clinician-administered History and Physical (H&P), which includes vital signs, an oral glucose tolerance test (OGTT), and the comprehensive metabolic blood panel. These will be used to assess diabetes, kidney disease, and electrolytes. If subjects pass screening, they will be provided the option to participate in one or more Arms, which include neuroimaging. To provide a quantitative measure of time-varying metabolic activity throughout the scan, based upon quantitative models of glucose and ketone regulation, as well as to be able to implement safety stopping rules (see below), we will obtain pin-prick blood samples three times: prior to the scan, following consumption of the glucose or ketone drink, and following completion of the scan. To assess effects of increased metabolic demand, we measure brain response to cognitive load, transitioning from resting-state to spatial reasoning through a Tetris task. To assess effects of increased metabolic supply, we measure brain response to glucose or ketone bolus.

Start: June 2015
PREDICT 2: Personalized Responses to Dietary Composition Trial 2

Foods in the human diet can affect the development of diseases over time, such as diabetes or heart disease. This is because the amount and types of foods in the diet eat can affect a person's weight, and because different foods are metabolised (processed) by the body in different ways. Scientists have also found that the bacteria in the human gut (the gut microbiome) affect their metabolism, weight and health and that, together with a person's diet and metabolism, could be used to predict appetite and how meals affect the levels of sugar (glucose) and fats (lipids) found in blood after eating. If blood sugar and fat are too high too often for too long, there is a greater chance of developing diseases such as diabetes and cardiovascular disease. The gut microbiome is different in different people. Only 10-20% of the types of bacteria found in the human gut are found in everyone. This might mean that the best diet to prevent disease needs matching to a person's gut microbiome and it might be possible to find personalised foods or diets that will help reduce the chance of developing chronic disease as well as metabolic syndrome. The study investigators are recruiting volunteers aged 18-70 years to take part in a study that aims to answer the questions above. Participants will be asked to consume standardised meals on up to 8 days while wearing glucose monitors (Abbott Freestyle Libre) to measure their blood sugar levels. Participants will also be required to prick their fingers at regular intervals to collect small amounts of blood, and to record their appetite, food, physical activity and sleep using apps and wearable devices. They will be asked to collect a fecal and saliva sample before consuming the standardised meals, and to provide a fasted blood sample at the end of the study period.

Start: June 2019
Personalised Responses to Dietary Composition Trial

The foods we eat - our diet - can affect whether we develop diseases during our lives, such as diabetes or heart disease. This is because the amount and types of foods we eat can affect our weight, and because different foods are metabolised (processed) by the body in different ways. Scientists have also found that the bacteria in our guts (the gut microbiome) affects our metabolism, weight and health and that, together with a person's diet and metabolism, could be used to predict appetite and how meals affect levels of sugar (glucose) and fats (lipids) found in blood after eating. If blood sugar and fat are too high too often, there's a greater chance of developing diseases such as diabetes. The gut microbiome is different in different people. Only 10-20% of the types of bacteria found in our guts are found in everyone. This might mean that the best diet to prevent disease needs matching to a person's gut microbiome and it might be possible to find personalised foods or diets that will help reduce the chance of developing chronic disease as well as metabolic syndrome. The study investigators are recruiting volunteers aged 18 years or over from the TwinsUK cohort to take part in a study that aims to answer the questions above. The participants will need to come in for a clinical visit where they will give blood, stool, saliva and urine samples. The participants will also be given a standardised breakfast and lunch and fitted with a glucose monitor (Abbott Freestyle Libre-CE marked) to monitor their blood sugar levels. After the visit, the participants will be asked to eat standardised meals at home for breakfast for a further 12 days. Participants will also be required to prick their fingers at regular intervals to collect small amounts of blood, and to record constantly their appetite, food, physical activity and sleep using apps and wearable devices.

Start: June 2018
Effect of an Anti-inflammatory Diet on Patients With Cervical Cancer

During radiation therapy (RT) to pelvic tumors, the small intestine, colon and rectum are inevitably included in the radiation field and are healthy tissues that suffer damage as an adverse effect. Pelvic radiation disease (PRD) is the group of gastrointestinal symptoms experienced by patients that receive pelvic radiation. Intestinal inflammation, tissue damage, oxidative stress and tumor metabolism lead the patient to a catabolic state associated with an increase in energy demands. Also, the painful abdominal symptoms restrict the patients' food intake, leading the patients that develop PRD to an increased risk to develop protein-energy malnutrition and micronutrient deficiencies, all of which affect the patients' quality of life. Studies developed in patients with inflammatory bowel disease have suggested that probiotics may have an anti-inflammatory effect in the intestine. In addition, micronutrients and trace elements provide antioxidant capacity and exert immune-modulating effects during periods of intestinal inflammation. Thus, probiotics and immune-modulating nutrients may provide a means to diminish intestinal inflammation and symptoms associated with PRD. In this project the investigators propose that the nutritional management of cervical cancer patients be based on an anti-inflammatory diet, taking into account the nutritional status, age, comorbidities that the patient may present and symptoms developed during treatment. The nutritional intervention will include food rich in immune-modulating nutrients: omega-3 fatty acids, soluble fiber, antioxidants and polyphenols, and probiotics.

Start: November 2018