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Circulating microRNAs for Discriminating Obese Preschoolers at Risk of Diabetes

N

Nanjing Medical University

Status

Completed

Conditions

Discriminate Obese Children at Risk for Diabetes.

Study type

Observational

Funder types

Other

Identifiers

NCT02843139
NMU-201487

Details and patient eligibility

About

Childhood obesity certainly increases susceptibility to type 2 diabetes (T2D) in adulthood. Recently, microRNAs (miRNAs) are closely related to various diseases and have been suggested as valuable biomarkers. Here, we sought to identify potential miRNAs to discriminate obese children at risk for diabetes in future.

Full description

This study was designed to screen the circulating miRNAs in association with progression from children obesity to type 2 diabetes (T2D) in adulthood. Serum samples were evaluated in a 3 step procedure: 1) discovery study, in which samples from obese children and healthy controls were pooled for miRNA sequecing experiment; 2) cross-sectional validation study, in which miRNAs of interest were validated in all individuals (obese children, overweight children and normal controls); 3) longitudinal validation study, in which the candidate miRNAs were estimated in newly diagnosed diabetes patients and normal glucose tolerance controls (NGT). The final determined miRNAs were further confirmed though primary function studies.

Enrollment

535 patients

Sex

All

Ages

48 to 72 months old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

Obese preschoolers; Adults with type 2 diabetes; Age-matched healthy controls.

Exclusion criteria

Trial design

535 participants in 2 patient groups

Children group
Description:
Children recruiters were categorized into three groups: obesity, overweight and normal control based on World Health Organization child growth standards.
Adults group
Description:
Adults with type 2 diabetes were defined if the individual had a fasting plasma glucose (FPG) level ≥ 7.0 mmol/L.

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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