[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100543826":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":21,"centralContacts":25,"locations":30,"responsibleParty":106,"collaborators":20,"id":108,"slug":109,"hasResults":110,"nctId":111,"briefTitle":112,"officialTitle":112,"acronym":113,"eligibilityCriteria":114,"healthyVolunteers":115,"sex":116,"minAge":117,"maxAge":118,"enrollmentInfo":119,"targetDuration":20,"studyType":122,"phases":123,"briefSummary":125,"conditions":126,"keywords":20,"overallStatus":58,"whyStopped":20,"lastUpdateSubmitDate":129,"lastUpdatePostDateStruct":130,"startDateStruct":133,"completionDateStruct":135,"leadSponsor":137,"locationsCount":138},{"fullName":5,"class":6},"Cliniques universitaires Saint-Luc- Université Catholique de Louvain","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Metabolomics evaluation","EXPERIMENTAL","LC-MS-qTOF analysis of DBS and urine using a combination of methods",[13],"Diagnostic Test: High resolution mass spectrometry",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":20},"DIAGNOSTIC_TEST","High resolution mass spectrometry","Metabolomics study",[9],null,[22],{"name":23,"affiliation":5,"role":24},"Joseph P Dewulf, M.D., Ph.D.","PRINCIPAL_INVESTIGATOR",[26],{"name":23,"role":27,"phone":28,"phoneExt":20,"email":29},"CONTACT","02\u002F7646836","Etdclin.Busard@saintluc.uclouvain.be",[31,56,74,90],{"facility":32,"status":33,"city":34,"state":20,"zip":35,"country":36,"countryCode":37,"cosmosGeoPoint":38,"geoPoint":43,"contacts":44},"Hôpital Universitaire des enfants Reine Fabiola (HUDERF-ULB)","NOT_YET_RECRUITING","Brussels","B-1020","Belgium","BE",{"type":39,"coordinates":40},"Point",[41,42],4.34878,50.85045,{"lat":42,"lon":41},[45,47,49,52,54],{"name":46,"role":24,"phone":20,"phoneExt":20,"email":20},"Lionel Marcélis, MSc, Ph.D.",{"name":48,"role":24,"phone":20,"phoneExt":20,"email":20},"Aurélie Empain, M.D., Ph.D.",{"name":50,"role":51,"phone":20,"phoneExt":20,"email":20},"Corinne De Laet, M.D., Ph.D.","SUB_INVESTIGATOR",{"name":53,"role":51,"phone":20,"phoneExt":20,"email":20},"Ebru Surgun, M.D.",{"name":55,"role":51,"phone":20,"phoneExt":20,"email":20},"Céline Morelli, M.D.",{"facility":57,"status":58,"city":34,"state":20,"zip":59,"country":36,"countryCode":37,"cosmosGeoPoint":60,"geoPoint":62,"contacts":63},"Cliniques universitaires Saint Luc","RECRUITING","B-1200",{"type":39,"coordinates":61},[41,42],{"lat":42,"lon":41},[64,66,68,70,72],{"name":65,"role":24,"phone":20,"phoneExt":20,"email":20},"Joseph P. Dewulf, M.D., Ph.D.",{"name":67,"role":24,"phone":20,"phoneExt":20,"email":20},"Marie-Cécile Nassogne, M.D., Ph.D.",{"name":69,"role":51,"phone":20,"phoneExt":20,"email":20},"Xavier Stephenne, M.D., Ph.D.",{"name":71,"role":51,"phone":20,"phoneExt":20,"email":20},"Nicole Revencu, M.D., Ph.D.",{"name":73,"role":51,"phone":20,"phoneExt":20,"email":20},"Stéphanie Paquay, M.D.",{"facility":75,"status":33,"city":76,"state":20,"zip":77,"country":36,"countryCode":37,"cosmosGeoPoint":78,"geoPoint":82,"contacts":83},"Institut de Pathologie et de Génétique (IPG)","Charleroi","B-6041",{"type":39,"coordinates":79},[80,81],4.44448,50.41136,{"lat":81,"lon":80},[84,86,88],{"name":85,"role":24,"phone":20,"phoneExt":20,"email":20},"Dominique Roland, M.D.",{"name":87,"role":51,"phone":20,"phoneExt":20,"email":20},"Damien Lederer, M.D., Ph.D.",{"name":89,"role":51,"phone":20,"phoneExt":20,"email":20},"Isabelle Maystadt, M.D., Ph.D.",{"facility":91,"status":33,"city":92,"state":20,"zip":93,"country":36,"countryCode":37,"cosmosGeoPoint":94,"geoPoint":98,"contacts":99},"CHU Liege","Liège","B-4000",{"type":39,"coordinates":95},[96,97],5.56749,50.63373,{"lat":97,"lon":96},[100,102,104],{"name":101,"role":24,"phone":20,"phoneExt":20,"email":20},"François-Guillaume Debray, MD PhD",{"name":103,"role":24,"phone":20,"phoneExt":20,"email":20},"François Boemer, Pharm D PhD",{"name":105,"role":51,"phone":20,"phoneExt":20,"email":20},"Caroline Dadoumont, MD",{"type":107,"investigatorFullName":20,"investigatorTitle":20,"investigatorAffiliation":20,"oldNameTitle":20,"oldOrganization":20},"SPONSOR","100543826","blood-spot-and-urine-metabolomic-screening-applied-to-rare-diseases-100543826",false,"NCT06360913","Blood Spot and Urine Metabolomic Screening Applied to Rare Diseases","BUSARD","Inclusion Criteria:\n\n* Subjects from newborn to elderly, presumably not affected by a rare disease (Group 1) (Newborns: only residual DBS from newborn screening from full-term newborns and with a negative official newborn screening test, de-identified samples not requiring an ICF, no urine sample for this category), OR\n* Patients from newborn to elderly, affected by a genetic metabolic disease (genetic confirmation is required) or another confirmed rare disease for which a metabolic derangement is suspected (Group 2), OR\n* Patients from newborn to elderly, affected by autism spectrum disorders and evaluated according to the DSMV classification (Group 2), OR\n* Patients suspected of being affected by a genetic metabolic disease or another rare disease with potential metabolic derangement (i.e. for which genetic and\u002For biochemical test(s) are non-conclusive or in progress) (Group 3)\n\nExclusion Criteria:\n\n* Subjects or patients for which the data required for analysis and assignment in the correct subgroup are lacking\n* No informed consent signed",true,"ALL","1 Day","99 Years",{"count":120,"type":121},2286,"ESTIMATED","INTERVENTIONAL",[124],"NA","The primary goal of this study is to establish a biobank of dried blood spots and urines from a large control cohort and collect several cohorts as large as possible of patients affected or suspected of being affected by rare diseases (mainly hereditary metabolic diseases) or by autism spectrum disorders.\n\nA metabolomic database using a high-resolution mass spectrometer (i.e. the \"Device\") will be generated and specific biomarkers for the diseases will be confirmed or uncovered. The ultimate goal is to facilitate and improve the diagnosis and screening of the patients affected by these disorders, but also to improve the knowledge about the biochemical mechanisms involved over the course of the selected pathologies.\n\nHigh-resolution mass spectrometry allows the measurement of thousands of metabolites in a single analysis. The current biochemical tests used for the diagnosis of hereditary metabolic diseases are only using a combination of maximum a few dozens of biomarkers in one analysis.\n\nObjectives Unravel new biomarkers for diagnosis (+\u002F- explore the altered pathways…) Uncover and\u002For validate newborn screening biomarkers through retrospective analysis of preserved newborn DBS from confirmed patients (useful for first or second tier biochemical NBS testing!) Validation of LC-MS qTOF for metabolomics screening as first line diagnostic test (thousands of metabolites) using diagnostic algorithms (modified z-scores) \\& continuous optimization by adding new cases and new controls in the database Generation of a biobank of urines and DBS from rare diseases (IEMs) \\& from a large reference population useful for other research applications",[127,128],"Inborn Errors of Metabolism","Rare Diseases","2024-04-11",{"date":131,"type":132},"2024-04-12","ACTUAL",{"date":134,"type":132},"2024-01-03",{"date":136,"type":121},"2028-01",{"name":5,"class":6},4]