[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100560840":3},{"organization":4,"armGroups":7,"interventions":20,"overallOfficials":38,"centralContacts":45,"locations":55,"responsibleParty":70,"collaborators":73,"id":77,"slug":78,"hasResults":79,"nctId":80,"briefTitle":81,"officialTitle":81,"acronym":82,"eligibilityCriteria":83,"healthyVolunteers":84,"sex":85,"minAge":86,"maxAge":87,"enrollmentInfo":88,"targetDuration":25,"studyType":91,"phases":92,"briefSummary":94,"conditions":95,"keywords":98,"overallStatus":58,"whyStopped":25,"lastUpdateSubmitDate":107,"lastUpdatePostDateStruct":108,"startDateStruct":111,"completionDateStruct":113,"leadSponsor":115,"locationsCount":116},{"fullName":5,"class":6},"Texas A&M University","OTHER",[8,17],{"label":9,"type":10,"description":11,"interventionNames":12},"Healthy male older adults","EXPERIMENTAL","Eight predefined, commercially available meal is administered in a randomized fashion. Two meals are consumed 6 hours apart on each study day. Meals are selected to represent a range of fat, protein, and carbohydrate content.",[13,14,15,16],"Other: Meal set A","Other: Meal set B","Other: Meal set C","Other: Meal set D",{"label":18,"type":10,"description":11,"interventionNames":19},"Healthy female older adults",[13,14,15,16],[21,26,30,34],{"type":6,"name":22,"description":23,"armGroupLabels":24,"otherNames":25},"Meal set A","morning meal: low carbohydrate, low protein, low fat afternoon meal: high carbohydrate, high protein, high fat",[18,9],null,{"type":6,"name":27,"description":28,"armGroupLabels":29,"otherNames":25},"Meal set B","morning meal: low carbohydrate, high protien, low fat meal afternoon meal: high carbohydrate, low protein, high fat meal",[18,9],{"type":6,"name":31,"description":32,"armGroupLabels":33,"otherNames":25},"Meal set C","morning meal: low carbohydrate, low protien, low fat meal afternoon meal: high carbohydrate, high protein, low fat meal",[18,9],{"type":6,"name":35,"description":36,"armGroupLabels":37,"otherNames":25},"Meal set D","morning meal: high carbohydrate, low protien, low fat meal afternoon meal: low carbohydrate, high protein, high fat meal",[18,9],[39,43],{"name":40,"affiliation":41,"role":42},"Nicolaas Deutz, MD, PhD","Texas A&M University","PRINCIPAL_INVESTIGATOR",{"name":44,"affiliation":41,"role":42},"Michael McShane, PhD",[46,51],{"name":47,"role":48,"phone":49,"phoneExt":25,"email":50},"Laura Ruebush, PhD","CONTACT","9792185515","lruebush@tamu.edu",{"name":52,"role":48,"phone":53,"phoneExt":25,"email":54},"Raven McNew, PhD","9794221789","raven.mcnew@tamu.edu",[56],{"facility":57,"status":58,"city":59,"state":60,"zip":61,"country":62,"countryCode":63,"cosmosGeoPoint":64,"geoPoint":69,"contacts":25},"Center for Translational Research in Aging & Longevity","RECRUITING","College Station","Texas","77843","United States","US",{"type":65,"coordinates":66},"Point",[67,68],-96.33441,30.62798,{"lat":68,"lon":67},{"type":42,"investigatorFullName":71,"investigatorTitle":72,"investigatorAffiliation":5,"oldNameTitle":25,"oldOrganization":25},"Marielle PKJ Engelen, PhD","Professor",[74],{"name":75,"class":76},"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)","NIH","100560840","evaluation-of-biomarkers-for-predicting-macronutrient-intake-100560840",false,"NCT06582381","Evaluation of Biomarkers for Predicting Macronutrient Intake","Microdialysis","Inclusion criteria\n\n* Ability to walk, sit down and stand up independently\n* Age 50-75 years old\n* Ability to lie in supine or slightly elevated position for approximately 13 hours\n* BMI between 25 and 35\n* Willingness and ability to comply with the protocol\n\nExclusion Criteria\n\n* Established diagnosis of malignancy\n* Established diagnosis of Insulin or non-Insulin Dependent Diabetes Mellitus\n* History of untreated metabolic diseases including hepatic or renal disorder\n* Currently on anticoagulants (i.e., warfarin, factor X inhibitors or direct thrombin inhibitors)\n* History of deep vein thrombosis, pulmonary embolisms, or known clotting disorders\n* Presence of acute illness or metabolically unstable chronic illness\n* Recent myocardial infarction (less than 1 year)\n* Known allergy or intolerance to any of the meal components\n* Any other condition according to the PI or nurse that was found during the screening visit, that would interfere with the study or safety of the patient\n* Failure to give informed consent or Investigator\\'s uncertainty about the willingness or ability of the participant to comply with the protocol requirements",true,"ALL","50 Years","75 Years",{"count":89,"type":90},33,"ESTIMATED","INTERVENTIONAL",[93],"NA","The goal of this clinical trial is to establish the relationship between macronutrient food intake and the resulting blood and intersticial fluid (ISF )levels of small molecule markers, as well as, validate wearable optical readers and data fusion algorithms to accurately predict individual-specific macronutrient availability in real time.\n\nThe study involves 1 screening visit of approximately 2 hours and up to 4 study days of approximately 14 hours. Subjects will be asked to arrive in the fasted state on all study days. Fasting prior to screening is not required. On the screening visit, body weight, height, and body composition by Dual-energy X-ray absorptiometry (DXA) will be measured. In addition, habitual dietary intake, physical activity level (PASE), and quality of life (SGRQ-C) will be assessed.",[96,97],"Glucose Metabolism","Amino Acid Metabolism",[99,100,101,102,103,104,105,106],"amino acid","glucose","metabolism","microdialysis","nutrition","stable isotope","macronutrient","biomarker","2025-07-18",{"date":109,"type":110},"2025-07-20","ACTUAL",{"date":112,"type":110},"2023-12-06",{"date":114,"type":90},"2026-12",{"name":5,"class":6},1]