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{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D009765', 'term': 'Obesity'}], 'ancestors': [{'id': 'D050177', 'term': 'Overweight'}, {'id': 'D044343', 'term': 'Overnutrition'}, {'id': 'D009748', 'term': 'Nutrition Disorders'}, {'id': 'D009750', 'term': 'Nutritional and Metabolic Diseases'}, {'id': 'D001835', 'term': 'Body Weight'}, {'id': 'D012816', 'term': 'Signs and Symptoms'}, {'id': 'D013568', 'term': 'Pathological Conditions, Signs and Symptoms'}]}}, 'protocolSection': {'designModule': {'phases': ['NA'], 'studyType': 'INTERVENTIONAL', 'designInfo': {'allocation': 'NON_RANDOMIZED', 'maskingInfo': {'masking': 'QUADRUPLE', 'whoMasked': ['PARTICIPANT', 'CARE_PROVIDER', 'INVESTIGATOR', 'OUTCOMES_ASSESSOR']}, 'primaryPurpose': 'HEALTH_SERVICES_RESEARCH', 'interventionModel': 'PARALLEL'}, 'enrollmentInfo': {'type': 'ESTIMATED', 'count': 600}}, 'statusModule': {'overallStatus': 'NOT_YET_RECRUITING', 'startDateStruct': {'date': '2025-07-27', 'type': 'ESTIMATED'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2025-07', 'completionDateStruct': {'date': '2027-06-30', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2025-07-31', 'studyFirstSubmitDate': '2025-06-09', 'studyFirstSubmitQcDate': '2025-07-31', 'lastUpdatePostDateStruct': {'date': '2025-08-03', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2025-08-03', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2026-06-30', 'type': 'ESTIMATED'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'Changes in body weight and BMI ;Changes in abdominal fat (waist circumference, waist-to-height ratio, visceral fat area in the abdomen), and body fat percentage.', 'timeFrame': '3 months', 'description': 'Individuals whose weight changes during the weight loss period exceed 5% of their own body weight; dropout rates during weight loss and maintenance periods'}]}, 'oversightModule': {'oversightHasDmc': True, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'conditions': ['Obesity and Obesity-related Medical Conditions']}, 'referencesModule': {'references': [{'pmid': '22386037', 'type': 'BACKGROUND', 'citation': 'Gong P, Liang S, Carlton EJ, Jiang Q, Wu J, Wang L, Remais JV. Urbanisation and health in China. Lancet. 2012 Mar 3;379(9818):843-52. doi: 10.1016/S0140-6736(11)61878-3.'}, {'pmid': '27115820', 'type': 'BACKGROUND', 'citation': 'NCD Risk Factor Collaboration (NCD-RisC). Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants. Lancet. 2016 Apr 2;387(10026):1377-1396. doi: 10.1016/S0140-6736(16)30054-X.'}]}, 'descriptionModule': {'briefSummary': "The implementation of this project will develop and apply precision health dietary solutions tailored for weight management in China's obese population, establishing a precision nutrition intervention model. Over 50% of the obese individuals are expected to achieve a weight reduction of more than 5%, significantly improving their quality of life."}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT'], 'maximumAge': '60 Years', 'minimumAge': '18 Years', 'healthyVolunteers': False, 'eligibilityCriteria': 'Inclusion Criteria:18 years old to 60 years old, gender not limited. Obesity diagnosis standard, 28≤ BMI (kg/m2)≤ 35 ; Signed informed consent;\n\nExclusion Criteria:Secondary obesity caused by endocrine, genetic, central nervous system diseases or drugs; Merge major disease, tumor, each system organ failure; Had serious infection and acute cardiocerebrovascular diseases; Over the past three months in three months, or drug or surgical treatment has been put on a diet; Pregnancy, for pregnant and nursing women; Mental disorders, or physical/body movement disorders affect normal activities; 5 kg weight fluctuation in the past two months; Daily alcohol consumption quantity more than 25 g for man, women more than 15 g.'}, 'identificationModule': {'nctId': 'NCT07101133', 'briefTitle': 'Precision Nutrition Technologies for Obesity Management', 'organization': {'class': 'OTHER', 'fullName': 'Chinese PLA General Hospital'}, 'officialTitle': 'Research on Key Technologies of Precision Nutrition for Obesity Intervention', 'orgStudyIdInfo': {'id': '2023ZD0508300'}}, 'armsInterventionsModule': {'armGroups': [{'type': 'PLACEBO_COMPARATOR', 'label': 'Control group: Energy-limited balanced diet group', 'description': 'Standardized energy-restricted balanced dietary intervention was provided. The intake for men was 1350kcal/d, and for women it was 1100kcal/d. The proportions of the three major nutrients were 50-65% carbohydrates, 20-30% fats, and 15-20% proteins.', 'interventionNames': ['Dietary Supplement: Control group: Energy-limited balanced diet group']}, {'type': 'EXPERIMENTAL', 'label': 'Intervention group based on clinical phenotype', 'description': 'Based on subjects baseline diet quality assessment (by FFQ questionnaires and 3 diet records) and baseline clinical data (blood glucose, blood lipid, CRP, etc.), formulate diet plan, targeted adjust the types and proportions of food, mainly includes the following three types: Scheme 1: A low fat diet intake of 1350 kcal/d pattern men, women of 1100 kcal/d, compared with three major nutrients carbohydrate 62%, fat 20%, protein 18%. Scheme 2: low carbohydrate diet intake of 1350 kcal/d pattern men, women of 1100 kcal/d, three major nutrients ratio of carbohydrate, 37% fat, 45% protein, 18%. Solution 3: limited energy balanced diet provide a standardized and balanced energy-restricted diet (1,350 kcal/d for men and 1,100 kcal/d for women), with the proportion of the three major nutrients being 54% carbohydrates, 28% fats, and 18% proteins. Staple meal replacement: Replace two meals a day with full-nutrition meal replacement , wwith a calorie content of 30 to 40%.', 'interventionNames': ['Dietary Supplement: Control group: Energy-limited balanced diet group']}, {'type': 'EXPERIMENTAL', 'label': 'Intervention group based on genetic susceptibility', 'description': 'Integrate deep phenotypes (diet quality, physical fitness test results, clinical indicators), superimpose obesity nutrition gene data, including the test results of 33 obesity-related genes (such as FTO, MC4R) and nutrient metabolism genes (such as APOA2, PPARG), and customize the macronutrient ratio (such as adopting a low-carbohydrate diet for those with high carbohydrate sensitivity). Dietary patterns mainly include low-fat dietary patterns, low-carb and low-fat dietary patterns, and balanced energy-restricted dietary patterns. Staple meal replacement: The same meal replacement plan as the deep phenotype group.', 'interventionNames': ['Dietary Supplement: Control group: Energy-limited balanced diet group']}, {'type': 'EXPERIMENTAL', 'label': 'Based on genetic susceptibility + intestinal flora intervention group', 'description': 'Integrating deep phenotypes (diet quality, physical fitness test results, clinical indicators), superimposing obesity nutrition gene + intestinal flora genomic data, including 33 obesity nutrition-related genes and 170 intestinal obesity nutrient metabolic bacterial genera/species test results, to customize the proportion of macronutrients. Dietary patterns mainly include low-fat dietary patterns, low-carb and low-fat dietary patterns, and balanced energy-restricted dietary patterns. Staple meal replacement: The same meal replacement plan as the deep phenotype group.', 'interventionNames': ['Dietary Supplement: Control group: Energy-limited balanced diet group']}], 'interventions': [{'name': 'Control group: Energy-limited balanced diet group', 'type': 'DIETARY_SUPPLEMENT', 'otherNames': ['Based on clinical phenotype + energy-restricted diet group', 'Intervention group based on genetic susceptibility', 'Based on genetic susceptibility + intestinal flora intervention group'], 'description': 'Based on clinical phenotype + energy-restricted diet group:Based on the baseline dietary quality assessment of the subjects and baseline clinical data , a dietary plan was formulated, and the types and proportions of food were adjusted specifically .\n\nIntervention group based on genetic susceptibility:Integrate deep phenotypes (diet quality, physical fitness test results, clinical indicators), superimpose obesity nutrition gene data and nutrient metabolism genes, and customize the macronutrient ratio.\n\nBased on genetic susceptibility + intestinal flora intervention group: Integrating deep phenotypes (diet quality, physical fitness test results, clinical indicators), superimposing obesity nutrition gene + intestinal flora genomic data, including 33 obesity nutrition-related genes and 170 intestinal obesity nutrient metabolic bacterial genera/species test results, to customize the proportion of macronutrients.', 'armGroupLabels': ['Based on genetic susceptibility + intestinal flora intervention group', 'Control group: Energy-limited balanced diet group', 'Intervention group based on clinical phenotype', 'Intervention group based on genetic susceptibility']}]}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'Yuan He', 'class': 'OTHER'}, 'responsibleParty': {'type': 'SPONSOR_INVESTIGATOR', 'investigatorTitle': 'Researcher, professor, doctoral supervisor,', 'investigatorFullName': 'Yuan He', 'investigatorAffiliation': 'Chinese PLA General Hospital'}}}}