14 Clinical Trials for Various Conditions
The goal of this observational research study is to determine how diet contributes to various gastrointestinal related conditions. The main question investigators aim to answer is: Are host genetics, diet, and microbiome all important determinants of GI disorders, and how their relative contribution varies among individuals and populations.
Nutrition guidelines state that multiple eating patterns are effective for type 2 diabetes and that therapy should be individualized. Yet many nutrition plans fail to account for interpersonal variability in blood glucose response to meals. This diminishes the ability of dietary interventions to optimize glycemic control and may lessen patient satisfaction, self--efficacy, and adherence. Continuous glucose monitoring (CGM) can facilitate behavior change in type 2 diabetes and has been associated with improved outcomes in nutrition intervention studies; this literature is limited by small study sample sizes and heterogeneity of study design and outcomes, and more data are needed. CGM could be a powerful tool for adapting a nutrition plan based on blood glucose response at an individual level. This study will test the use of CGM to personalize nutrition therapy compared to nutrition therapy alone (without CGM) for participants with type 2 diabetes who are not meeting glycemic treatment goals.
The purpose of this study is to determine if a particular method of providing nutrition improves the outcomes of patients in the intensive care unit (ICU) who have undergone abdominal surgery following trauma and would require nutrition delivered via the bloodstream (called total parenteral nutrition or TPN). The nutrition method being tested is a structured nutrition delivery plan, called the SeND Home pathway, that involves TPN, oral nutrition supplements, and the use of a device (called an indirect calorimeter or IC) to measure calorie needs. Participants will be randomly assigned (like the flip of a coin) to the SeND Home program or standard of care nutrition. In the SeND Home program, participants will receive TPN, followed by oral nutrition supplements (shakes) for 4 weeks after discharge. The control group will follow standard of care nutrition delivery that begins during ICU stay and concludes at hospital discharge. Participants in both groups will undergo non-invasive tests that measure how much energy (calories) they are using, body composition, and muscle mass and complete walking and strength tests, and surveys about quality of life.
This is a Pilot study designed to set up for an randomized clinical trial (RCT) comparing the SeND Home pathway to a standard of care nutrition delivery in critically ill older adult trauma patients. Subjects will be randomized 3:1 to either SeND Home precision nutrition pathway or control arm. Subjects randomized to the SeND Home arm will receive oral nutrition supplements (ONS) up to 3 times per day while in the hospital and for 4 weeks after discharge. Subjects in the standard of care arm will receive normal nutrition recommendations from their clinical providers. Participants in both groups will undergo non-invasive tests that measure how much energy (calories) they are using, body composition, and muscle mass.
A person's genetic code is believed to affect how much weight he/she will lose during diets that vary in carbohydrate and dietary fat content. 'Carbohydrate responders' are hypothesized to lose more weight on diets that are high in carbohydrates, as compared to high in fats. 'Fat responders' are hypothesized to lose more weight on diets that are high in dietary fat, as compared to high in carbohydrates. The purpose of the proposed study is to test these hypotheses in a randomized controlled trial.
This is an initial validation study of the Personal Nutrition Project (PNP) algorithm in a North American population with recently diagnosed Type 2 Diabetes (T2D). This is a 2-stage, single-group feeding study in 20 individuals, including 10 participants managed with lifestyle alone, and 10 managed with lifestyle plus metformin.
RATIONALE: Decreasing the amount of fat in the diet and increasing fruit, vegetable, and fiber intake may help prevent some types of cancer. Giving participants easy-to-read personalized written nutrition materials and a personalized videotape may help improve eating habits. PURPOSE: This clinical trial is studying how well personalized nutrition education improves the eating habits of healthy participants who eat an unhealthy diet.
The ZOE Method Study will test the efficacy of personalized nutritional advice, delivered on an individual level through a digital device app; integrating dietary, lifestyle, physiological and metagenomic data, in improving certain cardiometabolic disease risk factors, compared to generalized nutrition advice (control).
The rapid growth rate and unique challenges as a new immigrant group call for a better understanding of the social and health needs of the older Asian Americans (AAs) population. Overwhelming numbers of AAs, a fast-growing first-generation immigrant group, suffer from type 2 diabetes (T2D) and its consequences of poorly controlled blood glucose. For the older AAs, there are higher prevalence rates, worse diabetes control, and higher rates of complications due to limited English proficiency and health literacy. Despite the evidence concerning the effects of dietary interventions on glycemic control by well-controlled feeding studies in mainstream Americans, a lack of clinical trials of culturally tailored interventions often imposes serious barriers to translate and implement such fruitful and innovative approaches in individuals from ethnic minority communities such as AAs. The proposed study will use a randomized, controlled design with a sample of 60 AAs aged 65 years or older. Metabolomics methodologies will be incorporated into this research to provide a global picture of metabolites' responses to personalized behavioral nutrition (PBN) intervention. The study results will obtain the necessary information to conduct a meaningful community-based clinical trial to test the effectiveness of PBN in improving dietary patterns and glycemic control in older AAs.
In a randomized trial of 255 participants with early-stage T2D, participants will be randomized to 1 of 3 groups: Standardized, Personalized, or a Usual Care Control (UCC). In the first phase, participants will be randomized with equal allocation to these 3 groups. In the second phase (current phase), the remaining participants will be randomized with equal allocation to the Standardized and UCC groups.
The PREDICT 3 study will build on previous research in over 2,000 individuals to further refine machine learning models that predict individual responses to foods, with the aim of advancing precision nutrition science and individualized dietary advice. The study incorporates both standardized and controlled dietary intervention, for the purpose of testing postprandial responses to specific mixed meals, in addition to a free-living period with a dietary record for measuring responses to a large variety of meals consumed in a realistic context, where the role of external factors (e.g. exercise, sleep, time of day) on postprandial responses may be determined. For the first time this PREDICT study is built on top of a commercial product which will allow access to a much larger group of participants who are already collecting large amounts of data through digital and biochemical devices that can contribute to science.
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.
The goal of this randomized, crossover, clinical trial is to link: 1) gastrointestinal motility patterns induced by acute consumption of whole and refined grains, 2) enteric microbial production of bioactive metabolites, and 3) circulating postprandial appearance of metabolites important to cardiometabolic health including glucose, triglycerides, and cholesterol. Participants will be asked to consume a Smartpill monitoring device that records metrics of gastrointestinal motility in response to whole or refined grains, monitor cardiometabolic metabolties over an 8 hour postprandial window, and provide a fecal sample for microbiome-related analyses.
Over 30 million surgeries are performed annually in the US. Up to 30% of surgical patients experience delayed surgical recovery, marked by prolonged post-surgical pain, opioid consumption, and functional impairment, which contributes $8 billion annually to US health care costs. Novel interventions that improve the resolution of pain, minimize opioid exposure, and accelerate functional recovery after surgery are urgently needed. Multi-modal pre-operative optimization programs (or "prehab") integrating exercise, nutrition, and stress reduction have been shown to safely and effectively improve outcomes after surgery. However, no objective biological markers assess prehab effectiveness and are able to tailor prehab programs to individual patients. Surgery is a profound immunological perturbation, during which a complex network of innate and adaptive immune cells is mobilized to organize the recovery process of wound healing, tissue repair, and pain resolution. As such, the in-depth assessment of a patient's immune system before surgery is a promising approach to tailor prehab programs to modifiable biological markers associated with surgical recovery. The primary goal of this clinical trial is to determine the effect of a personalized prehab program on patients immunological status before surgery.