[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"energy-metabolism\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:energy-metabolism":27},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,7,0,[8,45,82,107,133,166,196],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":24,"conditions":25,"keywords":28,"overallStatus":33,"whyStopped":4,"lastUpdateSubmitDate":34,"lastUpdatePostDateStruct":35,"startDateStruct":38,"completionDateStruct":40,"leadSponsor":42,"locationsCount":4},"100639591","within-individual-variability-of-resting-metabolic-rate-over-12-weeks-100639591",false,"NCT07628764","Within-Individual Variability of Resting Metabolic Rate Over 12 Weeks","Within-Individual Variability of Resting Metabolic Rate Assessed Repeatedly Over 12 Weeks Using Whole-Room Calorimetry","Inclusion Criteria:\n\n* Adults aged 18-65 years\n* Clinically healthy individuals\n* Stable body weight (±2 kg) over the past 3 months\n* Ability and willingness to attend morning measurements three times per week for 12 weeks\n* Ability to provide informed consent\n\nExclusion Criteria:\n\n* Known uncontrolled endocrine or metabolic disease\n* Use of medications known to significantly affect resting metabolic rate (e.g., systemic corticosteroids, unstable thyroid hormone therapy)\n* Acute illness within 14 days prior to enrollment\n* Pregnancy or lactation\n* Any medical condition that, in the opinion of the investigators, may interfere with safe participation",true,"ALL","18 Years","65 Years",{"count":21,"type":22},30,"ESTIMATED","OBSERVATIONAL","This prospective observational study aims to characterize within-individual variability in resting metabolic rate (RMR) over a 12-week period using high-frequency repeated measurements under standardized conditions. Participants will undergo RMR assessments three times per week using whole-room indirect calorimetry.\n\nThe study will quantify the magnitude of physiological variability in RMR, distinguish true biological variation from measurement error, and estimate the minimal detectable change required to identify meaningful metabolic adaptations.",[26,27],"Resting Metabolic Rate","Energy Metabolism",[26,29,30,31,32],"Energy Expenditure","Metabolism","Indirect Calorimetry","Variability","NOT_YET_RECRUITING","2026-06-01",{"date":36,"type":37},"2026-06-05","ACTUAL",{"date":39,"type":22},"2026-07",{"date":41,"type":22},"2027-12",{"name":43,"class":44},"Tel Aviv University","OTHER",{"id":46,"slug":47,"hasResults":11,"nctId":48,"briefTitle":49,"officialTitle":50,"acronym":4,"eligibilityCriteria":51,"healthyVolunteers":16,"sex":17,"minAge":52,"maxAge":4,"enrollmentInfo":53,"targetDuration":4,"studyType":55,"phases":56,"briefSummary":58,"conditions":59,"keywords":62,"overallStatus":71,"whyStopped":4,"lastUpdateSubmitDate":72,"lastUpdatePostDateStruct":73,"startDateStruct":75,"completionDateStruct":77,"leadSponsor":79,"locationsCount":81},"100638005","energy-cost-and-metabolic-intensity-of-pilates-exercises-in-older-adults-100638005","NCT07621523","Energy Cost and Metabolic Intensity of Pilates Exercises in Older Adults","Energetic Cost and Metabolic Intensity of Pilates Exercises in Older Adults: A Randomized Crossover Study","Inclusion Criteria:\n\n* Age 60 years or older;\n* Body mass index (BMI) between 22 and 27 kg\u002Fm²;\n* Not currently undergoing dietary treatment or program for weight gain or loss;\n* No severe musculoskeletal disorders (e.g., osteoarthritis grade III or IV, moderate-to-severe pain ≥ 4 on the NRS 0-10 scale) or neurological conditions (e.g., Parkinson's disease, Alzheimer's disease, multiple sclerosis);\n* Continuously practicing Pilates for at least 6 months prior to enrollment, with a minimum frequency of twice per week.\n\nExclusion Criteria:\n\n* Chronic decompensated conditions that may pose health risks during exercise (e.g., uncontrolled hypertension, bronchitis, asthma);\n* Any history of cardiovascular events (e.g., coronary artery disease, stroke, heart failure, arrhythmias, valvular heart disease);\n* Decompensated metabolic diseases or use of medications with recognized direct impact on energy and glycemic metabolism, including antidiabetics and systemic corticosteroids;\n* Positive response to any item on the Physical Activity Readiness Questionnaire (PAR-Q).","60 Years",{"count":54,"type":22},20,"INTERVENTIONAL",[57],"NA","Pilates is one of the most popular forms of exercise among older adults worldwide. However, no study has measured how many calories a Pilates session burns or how hard the body works during it in people aged 60 and over. This information is important for exercise professionals who prescribe Pilates for health promotion goals such as weight management and cardiovascular fitness.\n\nThis study will measure the energy cost and metabolic intensity of two types of Pilates - mat Pilates and equipment-based Pilates - in older adults using a portable indirect calorimetry system (Cosmed K5). Results will be compared to treadmill walking at 4.8 km\u002Fh, a well-established moderate-intensity activity.\n\nTwenty men and women aged 60 years or older with at least 6 months of continuous Pilates experience will complete three exercise sessions in a randomized order: (1) mat Pilates, (2) equipment-based Pilates, and (3) treadmill walking. Each Pilates session will consist of 9 exercises, with stretching exercises used as warm-up and cool-down and 7 strengthening exercises performed in the main portion of the session (\\~50 min). Oxygen consumption, energy expenditure, heart rate, and perceived exertion will be measured throughout each session.",[27,60,61],"Exercise","Aging",[63,64,65,66,67,68,69,70],"Pilates","Energy expenditure","Metabolic equivalents","Indirect calorimetry","Older adults","Exercise intensity","Treadmill walking","Crossover study","RECRUITING","2026-05-27",{"date":74,"type":37},"2026-06-02",{"date":76,"type":22},"2026-06",{"date":78,"type":22},"2026-12",{"name":80,"class":44},"Universidade Estadual do Norte do Parana",1,{"id":83,"slug":84,"hasResults":11,"nctId":85,"briefTitle":86,"officialTitle":86,"acronym":87,"eligibilityCriteria":88,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":89,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":91,"conditions":92,"keywords":94,"overallStatus":71,"whyStopped":4,"lastUpdateSubmitDate":98,"lastUpdatePostDateStruct":99,"startDateStruct":101,"completionDateStruct":103,"leadSponsor":105,"locationsCount":81},"100495830","validating-a-new-machine-learned-accelerometer-algorithm-using-doubly-labeled-water-100495830","NCT05736302","Validating a New Machine-Learned Accelerometer Algorithm Using Doubly Labeled Water","ValiDLW","Inclusion Criteria:\n\n* must be 18+ years of age\n* be able to ambulate on own, unassisted, on a regular basis\n* speak and read English\n* must have access to a working smart phone and a computer with internet access\n\nExclusion Criteria:\n\n* wheelchair reliant\n* assistive walking device reliant (cannot walk for at least 50 feet without an assistive device)\n* diagnosed uncontrolled hypertension (above 160\u002F100 mgHg)\n* diagnosed cognitive impairment or inability to follow study procedures such as Alzheimer's disease or dementia\n* cannot take metabolic altering medications\n* cannot be pregnant\n* cannot be breastfeeding\n* cannot use supplemental oxygen\n* cannot completed required study activities for any reason\n* cannot have a resting heart rate \\> 100 bpm or a resting blood pressure \\> 160 mgHg during Visit 1\n* cannot weigh more than 450 lbs",{"count":90,"type":22},125,"The purpose of this study is to validate previously developed physical function-clustered specific machine-learned accelerometer algorithms to estimate total daily energy expenditure (TDEE) in individuals with general movement and functional limitations.",[93,27],"Movement Disorders",[95,96,97],"Doubly labeled water (DLW)","Total Daily Energy Expenditure (TDEE)","Accelerometry","2026-04-27",{"date":100,"type":37},"2026-05-04",{"date":102,"type":37},"2023-03-14",{"date":104,"type":22},"2026-12-31",{"name":106,"class":44},"University of Wisconsin, Milwaukee",{"id":108,"slug":109,"hasResults":11,"nctId":110,"briefTitle":111,"officialTitle":111,"acronym":112,"eligibilityCriteria":113,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":114,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":116,"conditions":117,"keywords":119,"overallStatus":71,"whyStopped":4,"lastUpdateSubmitDate":124,"lastUpdatePostDateStruct":125,"startDateStruct":127,"completionDateStruct":129,"leadSponsor":131,"locationsCount":81},"100627870","retrospective-monocentric-evaluation-of-biomarkers-associated-with-bone-muscle-and-energy-metabolism-100627870","NCT07454252","Retrospective Monocentric Evaluation of Biomarkers Associated With Bone, Muscle and Energy Metabolism","OVAD","Inclusion Criteria:\n\n* Age \\> 18 years.\n* Blood sampling performed at the Laboratory Medicine Service of IRCCS San Raffaele Hospital, Milan, between January 1, 2006 and March 31, 2025.\n\nExclusion Criteria:\n\n-Age \\\u003C 18 years",{"count":115,"type":22},1000,"Bone is a metabolically active tissue undergoing continuous remodeling through the coordinated actions of osteoclasts (resorption), osteoblasts (formation), and osteocytes (regulation). Under physiological conditions, bone formation and resorption are balanced and regulated by systemic hormones (PTH, vitamin D, estrogens) and local mediators. However, aging, metabolic disorders, physical inactivity, or pharmacological treatments may disrupt this equilibrium, leading to the predominance of one process over the other. Circulating biochemical markers of bone turnover-classified into formation markers (P1NP, osteocalcin, bone alkaline phosphatase) and resorption markers (CTx-I, NTx-I, DPD)-provide a means to monitor these dynamics.\n\nBeyond its mechanical role, bone also functions as an endocrine organ: osteocalcin, secreted by osteoblasts, modulates insulin secretion and sensitivity, linking bone to muscle and adipose tissue in the regulation of energy metabolism. Adipokines such as leptin and adiponectin further contribute to this complex crosstalk. Bone biomarkers are therefore essential for evaluating skeletal metabolism and identifying conditions such as osteoporosis, though the strict classification into formation versus resorption markers is limited, as some (e.g., osteocalcin) reflect both processes.\n\nThis study aims to analyze IRCCS San Raffaele database records of urinary and serum biomarkers related to bone, muscle, and energy metabolism, to assess their trends and associations according to age and sex, and to develop statistical models capable of explaining their interrelationships.",[118,27],"Bone Remodeling",[120,121,122,123],"Energy metabolism","Bone resorption markers (CTx-I, NTx-I, deoxypyridinoline\u002FDPD)","Bone turnover markers (BTMs)","Statistical modeling of metabolic interactions","2026-03-03",{"date":126,"type":37},"2026-03-06",{"date":128,"type":37},"2025-10-10",{"date":130,"type":22},"2027-09-30",{"name":132,"class":44},"IRCCS San Raffaele",{"id":134,"slug":135,"hasResults":11,"nctId":136,"briefTitle":137,"officialTitle":138,"acronym":139,"eligibilityCriteria":140,"healthyVolunteers":16,"sex":17,"minAge":141,"maxAge":142,"enrollmentInfo":143,"targetDuration":4,"studyType":55,"phases":145,"briefSummary":146,"conditions":147,"keywords":151,"overallStatus":71,"whyStopped":4,"lastUpdateSubmitDate":157,"lastUpdatePostDateStruct":158,"startDateStruct":160,"completionDateStruct":162,"leadSponsor":164,"locationsCount":81},"100620592","effects-of-ketone-bodies-on-insulin-sensitivity-100620592","NCT07359625","Effects of Ketone Bodies on Insulin Sensitivity","KETO-SENSE - Effects of Ketone Bodies on Insulin Sensitivity","KETO-SENSE","Inclusion Criteria:\n\n* Age range: 55-70 yr\n* BMI: 25 - 35 kg\u002Fm2\n\nExclusion Criteria:\n\n\\- Any evidence of acute or chronic illnesses, apart from well-controlled hypertension, that is judged by the investigators to impact the study","55 Years","70 Years",{"count":144,"type":22},10,[57],"KETO-SENSE is a clinical research study investigating how ketone bodies affect energy metabolism and insulin sensitivity in humans. Ketone bodies are naturally produced by the liver during fasting or prolonged exercise and can serve as an alternative fuel for the brain, heart, and muscles.\n\nIn this study, ten overweight but otherwise healthy adults aged 55-70 years will participate in four study days at Aarhus University Hospital. Participants will receive one of four interventions in a randomized crossover design: 1) growth hormone (GH) and a ketone supplement, 2) GH and placebo, 3) a saline infusion with the ketone supplement, or 4) placebo (saline infusion and placebo supplement). The study uses advanced PET\u002FCT imaging, indirect calorimetry, and tissue biopsies to measure how ketones influence fat breakdown, glucose uptake, and energy expenditure.\n\nBy understanding these mechanisms, the study aims to clarify whether oral ketone supplementation can improve insulin sensitivity and energy metabolism - findings that could be relevant for common conditions such as overweight, insulin resistance, and type 2 diabetes.",[148,149,27,150],"Insulin Resistance","Obesity & Overweight","Ketone Body Metabolism",[152,153,154,155,156,120],"insulin resistance","Overweight","Growth hormone","Ketone bodies","Lipolysis","2026-01-15",{"date":159,"type":37},"2026-01-22",{"date":161,"type":37},"2025-12-02",{"date":163,"type":22},"2028-04",{"name":165,"class":44},"University of Aarhus",{"id":167,"slug":168,"hasResults":11,"nctId":169,"briefTitle":170,"officialTitle":171,"acronym":172,"eligibilityCriteria":173,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":174,"enrollmentInfo":175,"targetDuration":4,"studyType":55,"phases":177,"briefSummary":178,"conditions":179,"keywords":180,"overallStatus":71,"whyStopped":4,"lastUpdateSubmitDate":186,"lastUpdatePostDateStruct":187,"startDateStruct":189,"completionDateStruct":191,"leadSponsor":193,"locationsCount":195},"100524087","erythrocyte-transport-of-lactate-during-exercise-tele-project-100524087","NCT06104150","Erythrocyte Transport of Lactate During Exercise (TELE Project)","Transporte Eritrocitario de Lactato en Ejercicio","TELE","Inclusion Criteria:\n\n* BMI between 18 and 25 kg\u002Fm2\n* Not smoker\n* In the case of trained participants: training at least 5 hours\u002Fweek, of which at least 3 must be aerobic\u002Fanaerobic endurance training. Presentation of a medical certificate attesting to their medical fitness (capability) to perform intense physical exercise.\n* In the case of sedentary participants, less than 1 day of training per week or less than 2 hours of structured exercise per week.\n\nExclusion Criteria:\n\n* Presenting any pathology that could impede the correct performance of the tests, or could influence the main study variables.\n* In the case of the female sample, having irregular menstrual cycles, oligomenorrhea or amenorrhea.","30 Years",{"count":176,"type":22},84,[57],"The goals of this clinical trial are:\n\n1. to study lactate kinetic between plasma and erythrocytes during an intervallic exercise and its subsequent recovery, considering the blood pH, the genotype for the T1470A polymorphism of the SLC16A1 gene (rs1049434), and the amount of MCT1 in erythrocytes membrane;\n2. to analyze the levels of MCT1 in the erythrocytes membrane according to training status and genotype for the T1470A polymorphism of SLC16A1 (rs1049434).\n\nFor this, the project will have two phases:\n\n* In phase I, trained participants will perform one maximal incremental test and one intervallic submaximal test with a final active recovery.\n* Phase II, levels of the MCT1 protein in the erythrocyte membrane will be quantified from trained and sedentary participants.",[27],[181,182,183,184,185],"lactate kinetics","MCT1","erythrocyte lactate","T1470A polymorphism","exercise","2025-09-05",{"date":188,"type":37},"2025-09-12",{"date":190,"type":37},"2020-02-03",{"date":192,"type":22},"2027-07-31",{"name":194,"class":44},"Technical University of Madrid",2,{"id":197,"slug":198,"hasResults":11,"nctId":199,"briefTitle":200,"officialTitle":201,"acronym":4,"eligibilityCriteria":202,"healthyVolunteers":11,"sex":17,"minAge":203,"maxAge":142,"enrollmentInfo":204,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":206,"conditions":207,"keywords":4,"overallStatus":71,"whyStopped":4,"lastUpdateSubmitDate":209,"lastUpdatePostDateStruct":210,"startDateStruct":212,"completionDateStruct":214,"leadSponsor":216,"locationsCount":81},"100597285","technologies-and-systems-for-assessing-human-energy-metabolism-and-nutritional-rehabilitation-100597285","NCT07056504","Technologies and Systems for Assessing Human Energy Metabolism and Nutritional Rehabilitation","Active Rehabilitation Training System for Motor and Cognitive Function Technologies and Systems for Assessing Human Energy Metabolism and Nutritional Rehabilitation","Inclusion Criteria:\n\n* Male and female participants aged 20 to 70 years old;\n* Rehabilitation patients with stroke or motor injuries;\n\nExclusion Criteria:\n\n* Loss of autonomous mobility;\n* Loss of consciousness;\n* Individuals with metallic implants (e.g., pacemakers);\n* Severe metabolic diseases (e.g., diabetes, other hereditary metabolic disorders);\n* Patients with claustrophobia;\n* Individuals with anorexia nervosa;\n* Women in the preconception period, pregnancy, or lactation;\n* Uremic patients;\n* Inability to lie flat for one hour.","20 Years",{"count":205,"type":22},80,"The objective of this observational study is to integrate the doubly labeled water (DLW) database from healthy individuals with multimodal data-including, but not limited to, weight, height, age, sex, race, elevation-from cohorts undergoing rehabilitation following movement impairments or neurological injuries. Machine learning algorithms will be used to develop injury-specific predictive models of energy requirements.\n\nThe primary research question is:\n\nHow does energy metabolism change during the rehabilitation process in individuals recovering from traumatic brain injury, stroke, or major surgical procedures? To answer this, participants will undergo a comprehensive set of assessments, including measurements of height and weight, body composition, resting metabolic rate, physical activity levels, total energy expenditure, psychological health, food intake and hunger ratings, sleep quality, cognitive performance, non-invasive brain function monitoring, and gait analysis. Fecal and blood samples will also be collected for untargeted metabolomics analysis.",[27,208],"Nutrition, Healthy","2025-08-25",{"date":211,"type":37},"2025-09-02",{"date":213,"type":37},"2025-07-09",{"date":215,"type":22},"2025-12-31",{"name":217,"class":44},"Shenzhen Institutes of Advanced Technology ,Chinese Academy of Sciences"]