[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"carbohydrate-metabolism\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:carbohydrate-metabolism":29},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,43],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":20,"enrollmentInfo":21,"targetDuration":4,"studyType":24,"phases":25,"briefSummary":27,"conditions":28,"keywords":4,"overallStatus":30,"whyStopped":4,"lastUpdateSubmitDate":31,"lastUpdatePostDateStruct":32,"startDateStruct":35,"completionDateStruct":37,"leadSponsor":39,"locationsCount":42},"100520186","neural-and-metabolic-factors-in-carbohydrate-reward-100520186",false,"NCT06053294","Neural and Metabolic Factors in Carbohydrate Reward","Neural and Metabolic Factors in Carbohydrate Reward: An Examination of Speed","CARB","Inclusion Criteria:\n\n1. BMI between 18.5-30 kg\u002Fm2\n2. Not pregnant or planning to become pregnant during study participation\n3. Residing in the Roanoke area and\u002For willing\u002Fable to attend sessions at the Fralin Biomedical Research Institute\n4. Able to speak and write in English\n\nExclusion Criteria:\n\n1. Current inhaled nicotine use\n2. History of alcohol dependence.\n3. Current or past diagnosis of diabetes or thyroid problems.\n4. Taking medications known to influence study measures (including antiglycemic agents, thyroid medications, sleep medications)\n5. Active medical or neurologic disorder.\n6. Current shift work (typical pattern of work\u002Factivity overnight)\n7. Previous weight loss surgery\n8. Adherence to a special diet within the past 3 months (e.g., low-carb or ketogenic diet, exclusion of food groups\u002Fspecific macronutrients, intermittent fasting, etc.)\n9. Allergy to any food or ingredient included in the study diets, meals, or beverages\n10. Currently pregnant or planning to become pregnant during study participation\n11. Claustrophobia\n12. Contraindications for MRI, including pacemaker, aneurysm clips, neurostimulators, cochlear or other implants, metal in eyes, regular work with steel, etc.",true,"ALL","18 Years","45 Years",{"count":22,"type":23},64,"ESTIMATED","INTERVENTIONAL",[26],"NA","Dietary factors contributed to nearly 50% of all cardiometabolic deaths in the US in 2012, making it one of the leading causes of preventable death in the US, second only to tobacco use. Human diets and food choices can't help but be influenced by the ubiquitous availability of processed foods of high-energy density and low nutrient content, consumption of which can lead to obesity, type II diabetes, heart disease, and other types of metabolic dysfunction. Surprisingly, food reinforcement does not rely on perceived energy density. Rather food reinforcement is associated with actual energy density and therefore, on an implicit knowledge of caloric content. That implicit knowledge must have a neural signature and a mechanism by which the gut communicates nutritive value to the brain. There is evidence, at least for fat and carbohydrates, that these pathways are separable, but terminate in a common neural structure, the dorsal striatum or caudate. This could be one mechanism by which modern processed foods high in both fat and carbohydrate are so sought after and readily consumed, In fact, when experimentally tested, fat and carbohydrate combinations were more reinforcing calorie for calorie than fat or carbohydrates alone and the level of reinforcement correlated with activity in reward- related brain areas. Beyond simple reinforcing value, it is known from the literature on drugs of abuse that the faster a drug is arrives at the brain, the higher it's abuse potential, however, little is known about how the kinetics of nutrient excursion influence food preference, choice, and brain activity. This project aims to test this specifically for carbohydrate reward.",[29],"Carbohydrate Metabolism","RECRUITING","2026-06-30",{"date":33,"type":34},"2026-07-02","ACTUAL",{"date":36,"type":34},"2023-05-01",{"date":38,"type":23},"2029-05-01",{"name":40,"class":41},"Virginia Polytechnic Institute and State University","OTHER",1,{"id":44,"slug":45,"hasResults":11,"nctId":46,"briefTitle":47,"officialTitle":48,"acronym":4,"eligibilityCriteria":49,"healthyVolunteers":17,"sex":50,"minAge":19,"maxAge":20,"enrollmentInfo":51,"targetDuration":4,"studyType":24,"phases":53,"briefSummary":54,"conditions":55,"keywords":58,"overallStatus":63,"whyStopped":4,"lastUpdateSubmitDate":64,"lastUpdatePostDateStruct":65,"startDateStruct":67,"completionDateStruct":69,"leadSponsor":71,"locationsCount":4},"100629616","effects-of-dual-source-carbohydrate-intake-and-liver-glycogen-repletion-after-overnight-fasting-100629616","NCT07476989","Effects of Dual-Source Carbohydrate Intake and Liver Glycogen Repletion After Overnight Fasting.","The Effects of a Dual-Source High-Carbohydrate Breakfast on Hepatic Glycogen Storage Following an Overnight Fast.","Inclusion Criteria:\n\n* A male (at birth) aged between 18 and 45.\n* Regularly training for a specific sport (must include cycling) at least 3 times per week (with the purpose of competing).\n* VO2 peak \\>50 (ml.kg.min)\n* A current non-smoker\u002Fvaper (must not have smoked or vaped within the last 6 months)\n* Do not have any medical conditions or are taking any medications or supplements which can affect the study's outcome measures.\n* Free from any metallic implants, including permanent jewellery (that can't be removed)\n* No known intolerances or allergies to any component of the nutritional supplement\n\nExclusion Criteria:\n\n* Are not a male (at birth) aged between 18 and 45.\n* Do not regularly train for a specific sport (must include cycling) at least 3 times per week (with the purpose of competing).\n* Does not have a VO2 max\u002Fpeak \\>50 (ml.kg.min)\n* A current smoker\u002Fvaper (must not have smoked or vaped within the last 6 months)\n* Have any medical conditions or are taking any medications or supplements which can affect the study's outcome measures\n* Have any metallic implants, including permanent jewellery (that can't be removed)\n* Known intolerances or allergies to any component of the nutritional supplement.","MALE",{"count":52,"type":23},12,[26],"This study is looking at whether eating a breakfast which has two different sources of carbohydrates, glucose and fructose (found in foods like honey and fruits), can increase how much glycogen can be stored in the liver. Glucose is a type of sugar that the body uses to provide energy during exercise. When it is not circulating in the blood, it is stored in the muscles and liver. The stored version of glucose is often referred to as glycogen. When the body needs energy, for example, it will break down glycogen into glucose so that it can be used as fuel.\n\nMuscle and liver glycogen stores are vital in providing energy during prolonged exercise, and strenuous activity can rapidly deplete these stores, leading to increased fatigue and a decline in performance. Liver glycogen, however, is particularly important because it controls blood glucose levels. This is important because the brain and other organs are constantly relying on the supply of glucose to function properly.\n\nWhen sleeping, the body goes through a natural period of fasting. During this period, the liver gradually breaks down its glycogen stores to release glucose into the bloodstream. Because of this, following sleep, liver glycogen stores are automatically low (which is why having breakfast is important). There is research to suggest that eating a high-carbohydrate breakfast can prevent further declines in liver glycogen; however, it is not known if eating different types of carbohydrates within the breakfast (glucose and fructose together) will affect the liver's ability to store glycogen. This research will aid in understanding optimal ways to increase liver glycogen stores before performing exercise, which may influence exercise performance.\n\nTherefore, the main aim of this study is:\n\n1\\. Investigate whether a high fructose breakfast will increase liver glycogen storage\n\nTo achieve this, participants will be recruited to complete a randomised crossover study where they will undertake three different conditions. All laboratory trials will take place at the Manchester Metropolitan University Institute of Sport.\n\n1. No breakfast (Control)\n2. 3 g\u002Fkg of body mass of carbohydrate (of which contains 0% fructose)\n3. 3 g\u002Fkg of body mass of carbohydrate (of which contains50% fructose)\n\nLiver glycogen stores will be measured using magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS). The investigators will measure liver glycogen content, liver volume, and stomach volume. Blood samples will also be taken to measure different metabolic hormone responses.",[29,56,57],"Hepatic Glycogen Storage","Healthy Adult Male",[59,60,61,62],"Glucose","Fructose","Liver glycogen storage","Magnetic resonance spectroscopy","NOT_YET_RECRUITING","2026-03-12",{"date":66,"type":34},"2026-03-17",{"date":68,"type":23},"2026-03",{"date":70,"type":23},"2026-12",{"name":72,"class":41},"Manchester Metropolitan University"]