A Metabolomics-based Study to Explore the Mechanism of Remission of Metabolic Syndrome After Radical Gastrectomy

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ENROLLING_BY_INVITATION

Total Enrollment

150 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-07-01

Study Completion Date

2026-07-01

Brief Summary

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1. Analysis of preoperative and postoperative metabolite changes: Through metabolomics technology, the changes of preoperative and postoperative metabolites in patients with gastric cancer complicated with metabolic syndrome were systematically analyzed, and the key metabolites related to the remission of hypertension, hyperlipidemia, and diabetes after surgery were found.
2. Explore the influencing factors of postoperative remission of metabolic syndrome: Combined with clinical data, the association between various metabolites and the degree of postoperative remission was evaluated, and the main factors affecting postoperative remission were determined.
3. Reveal the mechanism of postoperative remission of metabolic syndrome: through multi-level metabolomics analysis, to clarify the metabolic pathways and mechanisms involved in the process of postoperative remission, and provide a new theoretical basis for the development of tumor metabolic surgery.

Detailed Description

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This project will last 2-3 years. All patients who meet the inclusion and exclusion criteria will be divided into three groups according to the type of metabolic syndrome, including hypertension, diabetes and hyperlipidemia, with 50 cases in each group. Blood and feces of all patients were collected before surgery, 3 days after surgery, 6 months after surgery, and 1 year after surgery. The collected samples will be subjected to untargeted metabolomics analysis, using NMR-IVDr technology to detect the dynamic changes of all small molecular metabolites (mainly endogenous small molecular compounds with relative molecular weight within 1000 Da) in blood and feces before and after stimulation or disturbance without bias. The differential metabolites of blood glucose, blood lipid, cholesterol, insulin, renin, aldosterone, and angiotensin were screened by bioinformatics analysis, and the pathway analysis of differential metabolites was performed to reveal the potential physiological mechanism of postoperative hypertension, diabetes, and hyperlipidemia

Conditions

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Metabolic Syndrome Gastric Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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