A Metabolomics-based Study to Explore the Mechanism of Remission of Metabolic Syndrome Radical Resection of Colorectal Cancer

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

2024-07-01

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 colorectal cancer complicated with metabolic syndrome such as hypertension and diabetes were systematically analyzed, and the key metabolites related to postoperative remission 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.

To reveal the mechanism of the remission of metabolic syndrome after surgery: To clarify the metabolic pathways and mechanisms involved in the remission of metabolic syndrome after surgery through multi-level metabolomics analysis, and to provide a new theoretical basis for the development of tumor metabolic surgery.

Detailed Description

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This study will continue for 2-3 years. All patients who meet the inclusion and exclusion criteria will be divided into hypertension group and diabetes group according to the type of metabolic syndrome, with 120 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 lipids, 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 other metabolic syndrome remission

Conditions

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Metabolomics

Keywords

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colorectal cancer Metabolomics hypertension diabetes fatty liver

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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