ClinicalTrials.gov
public full text
Public Domain
Metabolic Flexibility to Predict Lifestyle Interventions Outcomes
Weight loss is a cornerstone of diabetes (T2D) management, yet in clinical practice, its delivery is limited by its perceived burdensome nature and variability in response. Personalization of the interventions to increase their success rate is an unmet clinical need. The proposed project MEPHISTO (Whole body and gut microbiome metabolic flexibility to predict lifestyle intervention outcomes) would aim to identify predictive features related to successful weight loss upon sequential exercise and diet intervention in people living with obesity. To this end, the study aims to conduct a clinical trial where the investigators would implement state-of-the-art physiological phenotyping of metabolic flexibility at the whole-body level and at the level of the gut in persons with obesity before and after exercise and diet + exercise intervention to identify predictive signatures of successful weight loss
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Integrated gut microbiome and serum lipidomics reveals microbial-lipid interactions for predicting incident metabolic syndrome: a nested case-control study.#476880
- AI-Driven Metabolic Cohort in Overweight/Obese Chinese Adults#859920
- Microbiome and Bariatric Surgery#826841
- Metabolic Phenotyping Objectively Captures Dietary Intake and Short-term Cardiovascular Disease Risk Responses Under an Inpatient Randomized Crossover Clinical Trial#398619
- Resistance Training and Metabolic Syndrome#1153055
Record · ID 1045729
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive