[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"glucose-response\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:glucose-response":27},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,47],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":14,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":28,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":36,"lastUpdatePostDateStruct":37,"startDateStruct":40,"completionDateStruct":42,"leadSponsor":44,"locationsCount":4},"100615479","glycemic-effects-of-meals---repeatability-trial-with-continuous-glucose-monitoring-100615479",false,"NCT07293143","Glycemic Effects of Meals - Repeatability Trial With Continuous Glucose Monitoring","GEM-RT CGM","Inclusion Criteria:\n\n* Generally healthy\n* English speaking\n\nExclusion Criteria:\n\n* Prior diagnosis of diabetes or taking medications that influence glucose metabolism, such as insulin, glucocorticoids, or Glucagon-like peptide-1 (GLP-1) receptor agonists.\n* Taking hydroxyurea medication\n* Taking beyond the maximum dose of acetaminophen (4g\u002Fday)\n* Known food allergies or severe sensitivities to any study materials (dairy or soy)\n* Limited and non-readers\n* Cognitive impairment",true,"ALL","18 Years",{"count":20,"type":21},20,"ESTIMATED","INTERVENTIONAL",[24],"NA","Almost half of adults in the United States have either diabetes mellitus (DM) or prediabetes (preDM), but many are undiagnosed and unaware of their condition. Current DM diagnosis and risk prediction are based on single \"snapshot\" measurements including: fasting blood glucose, postprandial glucose, and hemoglobin (Hb)A1c. Continuous glucose monitoring (CGM) offers a dynamic view of glucose levels throughout the day which enables characterizing individuals' dynamic glycemic profiles in response to physiological and environmental stimuli better than the conventional point-in-time glucose quantification approaches. By analyzing glycemic patterns from CGM tracings, it may be possible to identify individuals at increased risk of developing diabetes. However, an important prerequisite is to establish the reliability and consistency of glucose response patterns captured by CGM under controlled conditions.\n\nParticipants will be given six different meals to examine the glucose responses to these meals. Two of these meals (white rice and an Ensure drink) will be given twice for each participant to investigate whether individuals have the same glucose response to the same meal given on different days. Glucose will be measured using continuous glucose monitors, that have a thin wire sensor that measures glucose under the skin every five minutes for up to 10 days.",[27],"Glucose Response",[29,30,31,32,33,34],"Continuous glucose monitoring (CGM)","Post prandial glucose","Fasting blood glucose","Hemoglobin (Hb)A1c","CGM-based dietary challenges","Metabolic risk","NOT_YET_RECRUITING","2026-08-18",{"date":38,"type":39},"2026-08-19","ACTUAL",{"date":41,"type":21},"2027-01",{"date":43,"type":21},"2027-12",{"name":45,"class":46},"Boston University","OTHER",{"id":48,"slug":49,"hasResults":11,"nctId":50,"briefTitle":51,"officialTitle":52,"acronym":4,"eligibilityCriteria":53,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":54,"enrollmentInfo":55,"targetDuration":4,"studyType":22,"phases":57,"briefSummary":58,"conditions":59,"keywords":4,"overallStatus":62,"whyStopped":4,"lastUpdateSubmitDate":63,"lastUpdatePostDateStruct":64,"startDateStruct":66,"completionDateStruct":68,"leadSponsor":70,"locationsCount":72},"100648124","acute-effects-of-mct-formulations-on-beta-hydroxybutyrate-response-lipid-profile-and-glucose-levels-in-healthy-adults-100648124","NCT07718048","Acute Effects of MCT Formulations on Beta-Hydroxybutyrate Response, Lipid Profile, and Glucose Levels in Healthy Adults","Acute Effects of Different Medium-Chain Triglyceride (MCT) Formulations on Ketone Body Production, Plasma Lipid Profile, and Glucose Levels in Healthy Adults: a Randomized Crossover Study","Inclusion Criteria:\n\n* Healthy adult participants\n* Age between 18 and 40 years\n* Ability to understand the study procedures and provide informed consent\n\nExclusion Criteria:\n\n* Alterations in glucose or lipid metabolism\n* Diseases requiring the use of medications that affect glucose or lipid metabolism\n* Reported or diagnosed malabsorption conditions\n* Pregnancy or breastfeeding","40 Years",{"count":56,"type":21},12,[24],"The goal of this clinical trial is to evaluate the effects of medium-chain triglycerides (MCTs), delivered in different formulations, on beta-hydroxybutyrate response (as a marker of ketone body production), lipid metabolism, and glucose responses in healthy adults.\n\nThe main questions it aims to answer are:\n\nDo MCTs influence beta-hydroxybutyrate responses, lipid metabolism, and glucose responses differently compared to long-chain triglycerides (LCTs)?\n\nDo different types of MCTs (natural sources containing C8 to C12 versus synthetic formulations containing only C8 and C10) lead to different beta-hydroxybutyrate, lipid, and glucose responses?\n\nDoes the form in which MCTs are consumed (e.g., powders or incorporated into foods) influence beta-hydroxybutyrate production, lipid metabolism, and glucose responses?\n\nResearchers will compare five different lipid formulations to evaluate their effects on postprandial beta-hydroxybutyrate concentrations, blood lipid levels, and glucose.\n\nParticipants will:\n\nConsume five different test products on separate study visits. Provide blood samples for up to five hours after each intake for metabolic measurements.",[60,61,27],"Ketone Body","Lipid Metabolism","RECRUITING","2026-07-16",{"date":65,"type":39},"2026-07-21",{"date":67,"type":39},"2026-01-13",{"date":69,"type":21},"2026-10",{"name":71,"class":46},"University of Milan",1]