[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"longevity-1\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:longevity-1":28},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,46],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":18,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":29,"overallStatus":33,"whyStopped":4,"lastUpdateSubmitDate":34,"lastUpdatePostDateStruct":35,"startDateStruct":38,"completionDateStruct":40,"leadSponsor":42,"locationsCount":45},"100609891","phase-2-tirzepatide-to-slow-biological-aging-100609891",false,"NCT07220473","Tirzepatide to Slow Biological Aging","The Moody Longevity Trial: Tirzepatide to Slow Biological Aging","Inclusion Criteria:\n\n1. Age 55-70 years\n2. BMI ≥ 30 kg\u002Fm² or ≥ 27 kg\u002Fm² if also with ≥ 1 weight-related comorbidity\n3. If taking anti-inflammatory or blood-pressure-\u002Flipid-\u002Fglucose-lowering medications, no change in dose for ≥12 weeks prior to entry and no plans to dose escalate for the study duration\n4. Willing and able to provide written informed consent and undergo all required study procedures\n\nExclusion Criteria:\n\n1. BMI \\>35 kg\u002Fm²\n2. Uncontrolled or end-stage, comorbid, cardiometabolic disease, in the opinion of the site investigator\n3. Significant neurocognitive impairment, in the opinion of the site investigator\n4. Current or planned use of medications for the treatment of obesity, or medications likely to cause significant changes in weight, during the study period (see prohibited medications, section 6.0)\n5. Use of insulin\n6. Plans to newly engage in formal, intensive physical activity or diet (such as ketogenic or very low carbohydrate) programs during the study period\n7. Active eating disorder\n8. Use of human growth hormone, tesamorelin, supraphysiologic testosterone or estradiol (stable doses for contraception, hypogonadism or other indications for exogenous sex steroid replacement therapy permitted) or anabolic steroids \\\u003C12 W prior to entry, unless on a stable dose for \\>24 W prior to entry, or plans to start any of these medications while on study\n9. Active, severe delayed gastric emptying\n10. Prior bariatric surgery or major gastric surgery or plans for weight reduction surgery while on study\n11. Known diabetic retinopathy\n12. Personal or first-degree relative history of medullary thyroid carcinoma or multiple endocrine neoplasia type 2\n13. Untreated, poorly controlled or previously undiagnosed thyroid disease\n14. History of chronic pancreatitis\n15. History of suicidal attempts or active suicidal ideation, in the opinion of the site investigator\n16. Known allergy\u002Fsensitivity to GLP-1RA or GIPRA\n17. Use or planned use of any immunomodulatory therapy or investigational therapy during the study period or use of an investigational therapy within 30 days of entry\n18. Any other medical condition that, in the opinion of the investigator, would place the subject at increased risk for participation.\n19. Pregnancy, nursing or plans for either during the study period","ALL","55 Years","70 Years",{"count":20,"type":21},90,"ESTIMATED","INTERVENTIONAL",[24],"PHASE2","This pilot clinical study aims to investigate the potential effects of tirzepatide on biological aging in older adults. In this novel study, 90 adults aged 55-70 years with an indication for tirzepatide weight-loss therapy will be randomized to receive either tirzepatide 2.5 mg subcutaneously (SC) weekly or no drug for 24 weeks, followed by 12 weeks off the drug. Since tirzepatide is already recognized as a highly effective weight-loss agent in this population, the primary focus will not be on measuring weight loss. Instead, the study will document the effects of tirzepatide on markers of aging, physical function, and overall health.",[27,28],"Aging","LONGEVITY 1",[30,31,32],"DNA Methylation","Biological Clock Deceleration","GLP-1 Agonist","RECRUITING","2026-03-23",{"date":36,"type":37},"2026-03-24","ACTUAL",{"date":39,"type":37},"2026-02-27",{"date":41,"type":21},"2028-01",{"name":43,"class":44},"The University of Texas Medical Branch, Galveston","OTHER",1,{"id":47,"slug":48,"hasResults":11,"nctId":49,"briefTitle":50,"officialTitle":51,"acronym":4,"eligibilityCriteria":52,"healthyVolunteers":11,"sex":16,"minAge":53,"maxAge":54,"enrollmentInfo":55,"targetDuration":57,"studyType":58,"phases":4,"briefSummary":59,"conditions":60,"keywords":69,"overallStatus":33,"whyStopped":4,"lastUpdateSubmitDate":74,"lastUpdatePostDateStruct":75,"startDateStruct":77,"completionDateStruct":79,"leadSponsor":81,"locationsCount":45},"100544681","tornado-omics-techniques-and-neural-networks-for-the-development-of-predictive-risk-models-100544681","NCT06372054","TORNADO-Omics Techniques and Neural Networks for the Development of Predictive Risk Models","Integration of Omics-based Technologies and Artificial Intelligence to Identify Predictive Risk Models in a Air Force's Pilot Cohort for the Maintenance of Safety, Well-being, Health, and Performance to be Translated to Civil Population","Inclusion Criteria:\n\n* Being part of the Italian Air Force, as in active flight service or ground staff\n* Age between 26 and 38 years\n* Consent to collect biological samples and use the wearable device to monitor exposure parameters\n\nExclusion Criteria:\n\n* Age \\\u003C 25 years and \\> 39 years\n* no signature on informed consent","26 Years","38 Years",{"count":56,"type":21},200,"3 Years","OBSERVATIONAL","The goal of this observational study is to define a personalized risk model in the super healthy and homogeneous population of Italian Air Force high-performance pilots. This peculiar cohort conducts dynamic activities in an extreme environment, compared to a population of military people not involved in flight activity. The study integrates the analyses of biological samples (urine, blood, and saliva), clinical records, and occupational data collected at different time points and analyzed by omic-based approaches supported by Artificial Intelligence. Data resulting from the study will clarify many etiopathological mechanisms of diseases, allowing the creation of a model of analyses that can be extended to the civilian population and patient cohorts for the potentiation of precision and preventive medicine.",[61,62,63,64,65,66,28,67,68],"Oxidative Injury","Stress Physiological","Discogenic Pain","Cardiovascular Risk Factor","Space Maintenance","Epigenetic Changes","Neuroplasticity","NGS",[70,71,72,73],"pilots","air force","epigenetic change","environmental exposure","2024-04-16",{"date":76,"type":37},"2024-04-17",{"date":78,"type":37},"2024-02-05",{"date":80,"type":21},"2027-02-05",{"name":82,"class":44},"Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico"]