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Construction of machine learning model to predict the impact of new food components on individual metabolism

Construction of machine learning model to predict the impact of new food components on individual metabolism

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2500106207
Enrollment
Unknown
Registered
2025-07-21
Start date
2025-08-01
Completion date
Unknown
Last updated
2025-08-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Abdominal obesity (i.e., central obesity)

Interventions

Experimental grou:Add research on new functional food ingredients, healthy diet, and exercise interventions
Control group:Regular healthy diet and exercise intervention

Sponsors

Chinese Academy of Medical Sciences, Peking Union Medical College Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 65 Years

Inclusion criteria

Inclusion criteria: 1. Those who meet the diagnostic criteria of metabolic syndrome (with 3 or more of the following 5 components): (1) Abdominal obesity (i.e. central obesity): waist circumference >= 90cm for men and >= 85CM for women; (2) FPG >= 6.1mmol/l and (or) 2H PG>= 7.8mmol/l, and (or) diagnosed diabetes and treated; (3) Blood pressure >= 130/85mmHg, and/or hypertension has been diagnosed and treated; (4) Fasting TG >= 1.7mmol/l; (5) Fasting hdl-c<1.04mmol/l); 2.Age 18-65 years old; 3.Sign relevant informed consent on a voluntary basis.

Exclusion criteria

Exclusion criteria: 1. Individuals with allergies to food ingredients; 2. Patients with severe digestive or other systemic diseases, such as gastrointestinal diseases causing digestive malabsorption, severe liver and kidney failure, hematological or autoimmune diseases, etc; 3.Patients with active malignant tumors or malignant tumors undergoing treatment; 4.Subjects currently participating in other clinical trials; 5. Pregnant or lactating women; 6. Other populations identified by researchers as unsuitable for participation in this trial, including patients with reduced likelihood of inclusion or complicated inclusion situations.

Design outcomes

Primary

MeasureTime frame
Glycosylated hemoglobin;Biochemical indicators of lipid metabolism: total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C);

Secondary

MeasureTime frame
Insulin;Metabolome, proteome;Body composition analysis: Body mass index (BMI), body fat percentage, visceral fat area;Liver fibrosis indicators: hyaluronic acid (HA), laminin (LN), type III procollagen (PCII);Inflammatory markers, cytokines;Single cell sequencing and proteomic indicators;Blood uric acid;Liver function (ALT, AST) and kidney function (creatinine, urea nitrogen);Gut microbiota and metabolites;

Countries

China

Contacts

Public ContactChen Wei

Chinese Academy of Medical Sciences, Peking Union Medical College Hospital

chenw@pumch.cn+86 10 69154095

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026