The Effects of Environmental Factors on the Macro-genome and Metabolism of Obese Patients.

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

ACTIVE_NOT_RECRUITING

Total Enrollment

300 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-10-01

Study Completion Date

2025-12-01

Brief Summary

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The present study was designed to include obese patients diagnosed with obesity in the First Affiliated Hospital of Chongqing Medical University and a healthy control population. By analysing the relationship between metabolic parameters and macrogenomes in obesity, identifying key metabolic and macrogenomic differences between obese patients and healthy populations, and establishing the association between environmental factors and obesity-related metabolic disorders, the investigators will be able to provide new biomarkers and intervention targets for obesity prevention and treatment.

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Detailed Description

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Obese patients who attended the First Hospital of Chongqing Medical University and intended to undergo bariatric surgery were screened according to the inclusion and exclusion criteria. Patients' basic personal information and biological specimens including blood, faeces and urine were collected for metabolic and macro-genomic analyses. Air pollution exposure of the study subjects was collected by telephone follow-up. Metabolite profiles in blood and urine were analysed using liquid chromatography-mass spectrometry (LC-MS). Microbial community composition in faecal samples was analysed using 16S rRNA gene sequencing. Metabolic and macrogenomic differences between obese and control groups were compared using t-test or Mann-Whitney U-test. Logistic regression analyses were used to assess the independent effects of different environmental factors on metabolism and macrogenome. Identify key metabolites and microorganisms associated with obesity using Random Forest and Principal Component Analysis.

Conditions

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Obesity and Overweight

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Study Groups

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the obesity group

Patients diagnosed with obesity (body mass index (BMI) ≥ 28kg/m2)

obesity

Intervention Type DIAGNOSTIC_TEST

Patients diagnosed with obesity (BMI ≥ 28kg/m2)

the control group

Paticipants with nomal BMI （18.5 - 24 kg/m2)

health

Intervention Type DIAGNOSTIC_TEST

the health control group include paticipants with nomal BMI

Interventions

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obesity

Patients diagnosed with obesity (BMI ≥ 28kg/m2)

Intervention Type DIAGNOSTIC_TEST

health

the health control group include paticipants with nomal BMI

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Age ≥18 years;
* Obese patients with BMI ≥30kg/m2;
* Patients did not undergo surgical treatment before enrolment;
* Willing to participate in this study and sign the informed consent form;
* Complete clinical data.

Exclusion Criteria

* Patients with systemic diseases such as severe cardiorespiratory insufficiency that affect the choice of treatment regimen;
* Pregnant or lactating women;
* Patients who are not suitable for enrolment as assessed by the investigator;
* Patients with incomplete clinical data.

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes