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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT06097065
Other study ID # Zhujiangzx
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date May 20, 2022
Est. completion date December 31, 2026

Study information

Verified date February 2023
Source Zhujiang Hospital
Contact Nianyi Zeng
Phone 13928801657
Email zengny1@i.smu.edu.cn
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

Through the MALDI-TOF MS platform, explore the proteomics and peptidomics differences of fasting serum/plasma and urine between non pregnant people with normal glucose tolerance test and prediabetes /diabetes patients, pregnant people with normal glucose tolerance test and pregnant diabetes patients respectively; To explore the role of its proteomics and peptidomics differences in the diagnosis of prediabetes and diabetes, and to establish a new method of differential diagnosis by using the omics data and key characteristic peaks to find potential new diagnostic markers.


Description:

Prediabetes is a stage of abnormal glucose metabolism between normal blood glucose level and diabetes, which is a "gray zone" between normal and abnormal, including impaired fasting glucose (IFG), impaired glucose tolerance (IGT) or both. It is a very important high-risk group of diabetes. Diabetes is a group of metabolic diseases characterized by hyperglycemia caused by a variety of causes. Gestational diabetes mellitus refers to varying degrees of abnormal glucose metabolism that occur during pregnancy. This project aims to detect differential feature peaks through MALDI-TOF MS technology between non pregnant people with normal glucose tolerance test and prediabetes/diabetes patients, pregnant people with normal glucose tolerance test and pregnant diabetes patients respectively and to establish a clinical predictive diagnostic model based on differences, and to evaluate the model.


Recruitment information / eligibility

Status Recruiting
Enrollment 2860
Est. completion date December 31, 2026
Est. primary completion date December 31, 2025
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group N/A and older
Eligibility Inclusion Criteria: 1. Inclusion criteria for cases: Non pregnant people: the remaining fasting serum/plasma and urine samples of prediabetes/diabetes patients (prediabetes: IFG: FPG 6.1-6.9mmol/L, Blood glucose 2h after meal<7.8mmol/L(WHO); IGT: FPG<7.0mmol/L, Blood glucose 2h after meal 7.8-11.1mmol/L(WHO); diabetes: Typical symptoms of diabetes, FPG >= 7.0mmol/L or 75g OGTT 2h blood glucose >= 11.1mmol/L). Pregnant people: the remaining fasting serum/plasma and urine samples of gestational diabetes patients (75g OGTT test FPG >= 5.1mmol/L or 1h blood glucose >= 10.0mmol/L or 2h blood glucose >= 8.5mmol/L(IADPSG; ADA)). 2. Inclusion criteria of the controls were as follows: Non pregnant people: the remaining fasting serum/plasma and urine samples of normal population for glucose tolerance test (FPG 3.9-6.1mmol/L,75g OGTT test 1h blood glucose 6.7-11.1mmol/L,75g OGTT test 2h blood glucose 3.6-7.8mmol/L). Pregnant people: the remaining fasting serum/plasma and urine samples of people who do not meet the diagnostic criteria for gestational diabetes (3.9<=75g OGTT test FPG<5.1mmol/L,6.7 <= 1h blood glucose<10.0mmol/L,3.6<=2h blood glucose<8.5mmol/L). - Exclusion Criteria: Common exclusion criteria for cases and control were as follows: The sample volume of serum/plasma/urine is less than 300ul; Improper storage of samples or repeated freezing and thawing; The serum /plasma has obvious hemolysis, lipemia or jaundice. -

Study Design


Intervention

Diagnostic Test:
Oral Glucose Tolerance Test
Grouping based on detected oral glucose tolerance test results without any other intervention.

Locations

Country Name City State
China Zhujiang Hospital of Southern Medical University Guangzhou Guangdong

Sponsors (1)

Lead Sponsor Collaborator
Zhujiang Hospital

Country where clinical trial is conducted

China, 

Outcome

Type Measure Description Time frame Safety issue
Primary Number and types of proteins/peptides differential characteristic peaks Obtain the number and types of proteins/peptides differential characteristic peaks between the case group and the control group through data analysis. one year
Secondary ROC curve and area under curve AUC of clinical predictive diagnostic model Construct a clinical predictive diagnostic model based on the obtained proteins/peptides differential feature peaks and calculate the area under the ROC curve AUC to evaluate the predictive effect of the model. one year
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