Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D005247', 'term': 'Feeding Behavior'}, {'id': 'D007410', 'term': 'Intestinal Diseases'}], 'ancestors': [{'id': 'D001522', 'term': 'Behavior, Animal'}, {'id': 'D001519', 'term': 'Behavior'}, {'id': 'D005767', 'term': 'Gastrointestinal Diseases'}, {'id': 'D004066', 'term': 'Digestive System Diseases'}]}}, 'protocolSection': {'designModule': {'bioSpec': {'retention': 'SAMPLES_WITH_DNA', 'description': 'Fecal matter, blood and plasma samples'}, 'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'PROSPECTIVE', 'observationalModel': 'ECOLOGIC_OR_COMMUNITY'}, 'enrollmentInfo': {'type': 'ACTUAL', 'count': 204}, 'patientRegistry': False}, 'statusModule': {'overallStatus': 'COMPLETED', 'startDateStruct': {'date': '2018-02-13', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2020-02', 'completionDateStruct': {'date': '2018-12-30', 'type': 'ACTUAL'}, 'lastUpdateSubmitDate': '2020-02-27', 'studyFirstSubmitDate': '2018-02-20', 'studyFirstSubmitQcDate': '2018-03-06', 'lastUpdatePostDateStruct': {'date': '2020-02-28', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2018-03-13', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2018-09-30', 'type': 'ACTUAL'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'Evaluation of the influence of dietary habits assessed via Food Frequency Questionnaire (FFQ) on the relationship between gut microbiota composition and circulating endocannabinoids', 'timeFrame': 'September 2018', 'description': 'FFQ items will be used to identify dietary habits by unsupervised clustering to evaluate their association with gut microbiota composition obtained from ribosomal RNA sequencing and plasma endocannabinoid (e.g. Arachidonoylethanolamide, 2 arachidonoyl glycerol and their derivatives) concentrations.'}], 'secondaryOutcomes': [{'measure': 'Evaluation of the effect of adiposity assessed by Dual-energy X-ray Absorptiometry (DXA) scan on the relationship between gut microbiota composition and circulating endocannabinoids.', 'timeFrame': 'September 2018', 'description': 'The effect of adiposity measured by DXA scan on the relationship between gut microbiota composition and diversity obtained from ribosomal RNA sequencing and plasma endocannabinoids (e.g. Arachidonoylethanolamide, 2 arachidonoyl glycerol and their derivatives) will be investigated.'}, {'measure': 'Evaluation of the effect of fasting glycemia on the relationship between gut microbiota composition and circulating endocannabinoids.', 'timeFrame': 'September 2018', 'description': 'The effect of fasting glycemia, used to infer metabolic status, on the relationship between gut microbiota composition and diversity obtained from ribosomal RNA sequencing and plasma endocannabinoids (e.g. Arachidonoylethanolamide, 2 arachidonoyl glycerol and their derivatives) will be investigated.'}, {'measure': 'Evaluation of the effect of fasting triglyceridemia on the relationship between gut microbiota composition and circulating endocannabinoids.', 'timeFrame': 'September 2018', 'description': 'The effect of fasting triglyceridemia, used to infer metabolic status, on the relationship between gut microbiota composition and diversity obtained from ribosomal RNA sequencing and plasma endocannabinoids (e.g. Arachidonoylethanolamide, 2 arachidonoyl glycerol and their derivatives) will be investigated.'}]}, 'oversightModule': {'oversightHasDmc': False, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'keywords': ['Gut Microbiota', 'endocannabinoide', 'Metabolic health', 'Gastrointestinal health', 'Mental wellbeing'], 'conditions': ['Food Habits', 'Energy Metabolism', 'Mental Health Wellness 1', 'Intestinal Disease']}, 'descriptionModule': {'briefSummary': 'The general objective of this project is to investigate the interplay of the gut microbiome - endocannabinoid axis with host environmental factors and intestinal, metabolic and mental health status in free-living adults with various metabolic statuses and lifestyles.', 'detailedDescription': 'The gut microbiome and the endocannabinoid system (ECS) could be interacting together and influence local enteric and peripheral metabolic functions and mental health.\n\nThe association of some host environmental factors (e.g. age, metabolic status, dietary habits) with gut microbiota composition and function has been investigated but, to our knowledge, little is known about their influence on the ECS.\n\nThere is also a need to better understand the influence of these factors and the interplay between the gut microbiota and the ECS and their relationship with intestinal, metabolic and mental health.\n\nThe investigators therefore propose to fill this knowledge-gap in the general population of adults with various body composition, dietary habits and daily physical activity levels.'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'minimumAge': '18 Years', 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': 'Free-living adults with various body composition, dietary habits and daily physical activity levels from the Quebec city region.', 'healthyVolunteers': True, 'eligibilityCriteria': 'Inclusion Criteria:\n\n* Computer and internet access\n* Understanding of written French\n\nExclusion Criteria:\n\n* Intestinal pathologies\n* Pregnancy or breast-feeding\n* Recent significant weight variations\n* Recent completion of antibiotic treatment\n* Alcohol consumption over sex-specific recommendations'}, 'identificationModule': {'nctId': 'NCT03463304', 'acronym': 'eMECA', 'briefTitle': 'Environmental Factors and the Gut Microbiome - Endocannabinoid Axis', 'organization': {'class': 'OTHER', 'fullName': 'Laval University'}, 'officialTitle': 'The Influence of Host Environmental Factors on the Gut Microbiome - Endocannabinoid Axis in Metabolic and Mental Health', 'orgStudyIdInfo': {'id': '2017-328'}}, 'contactsLocationsModule': {'locations': [{'zip': 'G1V 0A6', 'city': 'Québec', 'state': 'Quebec', 'country': 'Canada', 'facility': 'Institut sur la nutrition et les aliments fonctionnels - INAF', 'geoPoint': {'lat': 46.81228, 'lon': -71.21454}}], 'overallOfficials': [{'name': 'Alain Veilleux, PhD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Laval University'}]}, 'ipdSharingStatementModule': {'ipdSharing': 'UNDECIDED'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'Laval University', 'class': 'OTHER'}, 'responsibleParty': {'type': 'PRINCIPAL_INVESTIGATOR', 'investigatorTitle': 'Affiliated Professor', 'investigatorFullName': 'Alain Veilleux', 'investigatorAffiliation': 'Laval University'}}}}