Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D011236', 'term': 'Prediabetic State'}, {'id': 'D065626', 'term': 'Non-alcoholic Fatty Liver Disease'}, {'id': 'D024821', 'term': 'Metabolic Syndrome'}], 'ancestors': [{'id': 'D003920', 'term': 'Diabetes Mellitus'}, {'id': 'D044882', 'term': 'Glucose Metabolism Disorders'}, {'id': 'D008659', 'term': 'Metabolic Diseases'}, {'id': 'D009750', 'term': 'Nutritional and Metabolic Diseases'}, {'id': 'D004700', 'term': 'Endocrine System Diseases'}, {'id': 'D005234', 'term': 'Fatty Liver'}, {'id': 'D008107', 'term': 'Liver Diseases'}, {'id': 'D004066', 'term': 'Digestive System Diseases'}, {'id': 'D007333', 'term': 'Insulin Resistance'}, {'id': 'D006946', 'term': 'Hyperinsulinism'}]}}, 'protocolSection': {'designModule': {'phases': ['NA'], 'studyType': 'INTERVENTIONAL', 'designInfo': {'allocation': 'RANDOMIZED', 'maskingInfo': {'masking': 'DOUBLE', 'whoMasked': ['INVESTIGATOR', 'OUTCOMES_ASSESSOR'], 'maskingDescription': 'masking not possible; subjects are aware of their allocation after initiation of the intervention'}, 'primaryPurpose': 'TREATMENT', 'interventionModel': 'PARALLEL', 'interventionModelDescription': 'parallel, single-blinded, prospective, randomised controlled trial in waiting list design'}, 'enrollmentInfo': {'type': 'ESTIMATED', 'count': 150}}, 'statusModule': {'overallStatus': 'RECRUITING', 'startDateStruct': {'date': '2024-05-23', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2024-05', 'completionDateStruct': {'date': '2026-07-01', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2024-05-23', 'studyFirstSubmitDate': '2024-01-29', 'studyFirstSubmitQcDate': '2024-05-11', 'lastUpdatePostDateStruct': {'date': '2024-05-24', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2024-05-14', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2026-04-01', 'type': 'ESTIMATED'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'Liver fat content', 'timeFrame': '16 weeks', 'description': 'change in liver fat content (magnetic resonance spectroscopy)'}, {'measure': 'concentration of fasting plasma glucose', 'timeFrame': '16 weeks', 'description': 'change in concentration of fasting plasma glucose'}, {'measure': 'concentration of 2-h plasma glucose (75 g oGTT)', 'timeFrame': '16 weeks', 'description': 'change in concentration of 2-h plasma glucose (75 g oGTT)'}], 'secondaryOutcomes': [{'measure': 'whole body fat content (%; measured with BIA)', 'timeFrame': '16 weeks', 'description': 'change in whole body fat content'}, {'measure': 'whole body fat content (kg; measured with BIA)', 'timeFrame': '16 weeks', 'description': 'change in whole body fat content'}, {'measure': 'insulin sensitivity (Matsuda)', 'timeFrame': '16 weeks', 'description': 'change in insulin sensitivity (Matsuda)'}, {'measure': 'insulin secretion capacity (disposition index-2); metric parameter without defined maxima or minima; higher values indicate better insulin secretion', 'timeFrame': '16 weeks', 'description': 'change in insulin secretion capacity (disposition index-2); metric parameter without defined maxima or minima; higher values indicate better insulin secretion'}, {'measure': 'blood pressure (sys/dia)', 'timeFrame': '16 weeks', 'description': 'change in blood pressure (sys/dia)'}, {'measure': 'serum concentration of CRP', 'timeFrame': '16 weeks', 'description': 'change in serum concentration of CRP'}, {'measure': 'serum concentration of IL-6', 'timeFrame': '16 weeks', 'description': 'change in serum concentration of IL-6'}, {'measure': 'serum concentration of IL-10', 'timeFrame': '16 weeks', 'description': 'change in serum concentration of IL-10'}, {'measure': 'serum concentration of IL-1ß', 'timeFrame': '16 weeks', 'description': 'change in serum concentration of IL-1ß'}, {'measure': 'serum concentration of IL-18', 'timeFrame': '16 weeks', 'description': 'change in serum concentration of IL-18'}, {'measure': 'serum concentration of IL-22', 'timeFrame': '16 weeks', 'description': 'change in serum concentration of IL-22'}, {'measure': 'fasting triglyceride levels', 'timeFrame': '16 weeks', 'description': 'change in fasting triglyceride levels'}, {'measure': 'LDL, HDL, LDL/HDL ratio', 'timeFrame': '16 weeks', 'description': 'change in LDL, HDL, LDL/HDL ratio'}, {'measure': 'concentration of serum lipidome parameters (hundreds of lipid species)', 'timeFrame': '16 weeks', 'description': 'change in serum lipidome (hundreds of lipid species)'}]}, 'oversightModule': {'oversightHasDmc': False, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'keywords': ['almonds', 'dietary treatment', 'diabetes prevention', 'metabolic syndrome'], 'conditions': ['PreDiabetes', 'NAFLD']}, 'descriptionModule': {'briefSummary': 'Tree nuts - such as almonds - contribute to beneficial effects of the Mediterranean diet on risk for cardiovascular events, type 2 diabetes, dyslipidemia, hypertension, inflammation and non-alcoholic fatty liver disease. Almonds provide few carbohydrates, but lots of unsaturated fat and dietary fiber. But to which extent and by which mechanisms may almonds improve all aspects of the Metabolic Syndrome? Previous clinical trials showed weaker effects than rodent studies, most possibly due to low statistical power and metabolically insusceptible patients.\n\nThe 3-year AGAMEMNON project aims to investigate, if 16 weeks of supplementation with almonds (vs. no treatment) in 150 patients with prediabetes and NAFLD leads to significant improvements in glycemia and liver fat, lipid metabolism, body composition and inflammation. The isocaloric design will outrule effects of weight loss and will allow the analysis of metabolic pathways between fat depots, inflammation, insulin resistance and gut function. Lipidomics are assessed as novel predictor of disease progression and metabolic response.', 'detailedDescription': "Background / Significance:\n\nT2D affects 5-10 % of the global population, challenging societies, health systems, economy and quality of life. Dietary treatment may avoid disease burdens, save money and protect general health resources, but is often limited to unspecific weight loss recommendations and advise for physical activity. Despite being the common advice, body weight reduction is faced with inconclusive evidence for its impact on long-term risks (obesity paradox?), lack of long-term compliance and irresponsive or ineligible subgroups of patients. The Mediterranean diet provides the ideal dietary composition and reduces CVD risk, improving every axis of the Metabolic Syndrome, including liver fat. It is unclear, though, to which extent tree nuts contribute to this effect.\n\nIn meta-analyses, almonds improve glycemia and lipids. Benefits on body composition and inflammation are also expected, these might extend to NAFLD.\n\nn6-PUFAs (typical components of tree nuts) reduce T2D risk and liver fat in humans. This was shown for sunflower oil, but not yet for nuts. Evidence for NAFLD benefits by almonds in humans is limited to observational studies, post-hoc analyses of mixed interventions, and underpowered RCTs.\n\nAims / Rationale:\n\nNuts are safe for NAFLD patients. Previous data indicate, that almonds may elicit benefits on glycemia and liver fat in patients susceptible to this treatment.\n\nTherefore, the investigators' project aims to investigate whole almonds as dietary treatment for glucose intolerance and NAFLD in patients with this typical combined phenotype. NAFLD independently predicts T2D progression and late complications. (Pre)diabetes patients with NAFLD are at higher risk for the entire metabolic syndrome and for early onset of nephropathy and CVD. On the other hand, prediabetes/T2D patients with NAFLD are also especially susceptible to lifestyle treatments. The investigators hypothesize to detect benefits of almonds with respect to glycemia and liver fat, but also lipid metabolism, body composition and inflammation compared to standard diet. Treatment period of 16 weeks is longer than earlier almond studies.\n\nThe investigators intend to show, that the metabolic improvement is independent from weight loss and, even in the opposite, supports maintenance of muscle mass. The research group wants to investigate mechanistic links between the metabolic pathways of visceral fat accumulation, inflammation, NAFLD, insulin resistance, dyslipidemia and the gut microbiome. Finally, the investigators aim to assess the lipidome (analysed from the erythrocyte membranes, full blood and plasma samples), which was recently established as a novel biomarker to predict disease progression, metabolic response and treatment-specific improvement."}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'maximumAge': '70 Years', 'minimumAge': '35 Years', 'healthyVolunteers': False, 'eligibilityCriteria': 'Inclusion Criteria:\n\n* prediabetes (IFG or IGT or IFG-IGT), measured in plasma samples\n* NAFLD (MR-S: \\>5,56 %)\n* BMI between 25 and 40 kg/m²\n\nExclusion Criteria:\n\n* Treatment with antidiabetic drugs\n* Overt diabetes mellitus of any kind\n* Severe cardiovascular or pulmonary disorder\n* Renal disorder / Renal insufficiency (eGFR \\< 60 ml/min/m²)\n* Severe psychiatric disorder (schizophrenia, severe depression; eating disorders)\n* Current or recent (\\< 5 years) cancer diagnosis\n* Liver disease other than NAFLD\n* Use of corticosteroid treatments\n* Alcohol abuse\n* Smoking\n* Ongoing or recently finished (3 months before) weight loss\n* Current participation in other intervention studies\n* Pregnancy\n* Metal implants, claustrophobia\n* Allergy to almonds'}, 'identificationModule': {'nctId': 'NCT06413069', 'acronym': 'AGAMEMNON', 'briefTitle': 'Effects of Almonds in Glucose-intolerant Adults (AGAMEMNON)', 'organization': {'class': 'OTHER', 'fullName': 'Charite University, Berlin, Germany'}, 'officialTitle': 'Effects of Almonds in Glucose-intolerant Adults - a Randomised Controlled Study on Muscle Mass and Obesity, Energy Metabolism and Lipidome, NON-alcoholic Fatty Liver and Inflammation (AGAMEMNON)', 'orgStudyIdInfo': {'id': 'AGAMEMNON'}}, 'armsInterventionsModule': {'armGroups': [{'type': 'ACTIVE_COMPARATOR', 'label': 'Almond treatment', 'description': 'Subjects will be supplemented with 60 grams of almonds (treatment) or left untreated (no-nut group) for 16 weeks.', 'interventionNames': ['Dietary Supplement: Raw whole almonds']}, {'type': 'NO_INTERVENTION', 'label': 'Control condition', 'description': 'Patients of the no-nut group will receive 6,7 kgs of almonds after completing 16 weeks of waiting time, supporting their compliance as untreated group.'}], 'interventions': [{'name': 'Raw whole almonds', 'type': 'DIETARY_SUPPLEMENT', 'description': 'Subjects will be supplemented with 60 grams of almonds (treatment) or left untreated (no-nut group) for 16 weeks. Patients of the no-nut group will receive 6,7 kgs of almonds after finishing the study, supporting their compliance as untreated group.', 'armGroupLabels': ['Almond treatment']}]}, 'contactsLocationsModule': {'locations': [{'zip': '12203', 'city': 'Berlin', 'status': 'RECRUITING', 'country': 'Germany', 'contacts': [{'name': 'Stefan Kabisch, Dr. med.', 'role': 'CONTACT', 'email': 'stefan.kabisch@charite.de', 'phone': '030 450 514 429'}], 'facility': 'Charite University Hospital Berlin', 'geoPoint': {'lat': 52.52437, 'lon': 13.41053}}], 'centralContacts': [{'name': 'Stefan Kabisch, Dr. med.', 'role': 'CONTACT', 'email': 'stefan.kabisch@charite.de', 'phone': '0049-30-450514', 'phoneExt': '429'}, {'name': 'Felizitas Kalinowski', 'role': 'CONTACT', 'email': 'felizitas.kalinowski@charite.de', 'phone': '0049-30450514', 'phoneExt': '428'}]}, 'ipdSharingStatementModule': {'ipdSharing': 'UNDECIDED'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'Charite University, Berlin, Germany', 'class': 'OTHER'}, 'collaborators': [{'name': 'Almond Board of California', 'class': 'OTHER'}], 'responsibleParty': {'type': 'PRINCIPAL_INVESTIGATOR', 'investigatorTitle': 'Principal investigator', 'investigatorFullName': 'Stefan Kabisch', 'investigatorAffiliation': 'Charite University, Berlin, Germany'}}}}