To Identify Urinary Biomarkers Associated With Gestational Diabetes Mellitus [GDM]

NCT ID: NCT05992974

Last Updated: 2023-10-03

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

RECRUITING

Total Enrollment

1000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-08-31

Study Completion Date

2025-12-31

Brief Summary

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Gestational diabetes mellitus(GDM) is one of the most common complications of pregnancy. The incidence of GDM is higher in Asian than in other regions, and GDM can increase the risk of a series of perinatal complications. The investigators has been committed to the early diagnosis of GDM, and several biomarkers in the first trimester and urinary proteomic markers that were associated with GDM have been found. Based on the previous work, the aim of this study was to verify the predictive ability of urinary proteomic markers for GDM that has been found in the previous study of the researchers. This study is a multi-center, prospective, and observational study. Urine samples will be collected twice, at 12 weeks and 24-28 weeks of gestation, respectively.

Detailed Description

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The eligibility criteria are as follows:

1. singleton pregnant women over 18 years old;
2. gestational age less than 12 weeks;
3. regular follow-up until delivery;
4. able to understand and sign an informed consent.

The exclusion criteria of pregnant women are as follows:

1. with impaired glucose tolerance or diabetes mellitus before pregnancy;
2. severe chronic diseases or infectious diseases (e.g., liver disease, urinary system disease, cardiovascular disease, autoimmune disease, hematological disease, AIDS and other diseases before pregnancy);
3. medications other than vitamins used during pregnancy;
4. inability to understand and follow-up regularly;
5. other conditions judged by the investigators to be inappropriate for participation in the study.

Conditions

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Gestational Diabetes

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Women of childbearing age who are in early pregnancy(gestational age less than 12 weeks);
* Regular prenatal examination until delivery;
* Older than 18 years old;
* Obtained informed consent from participants and/or their family members.

Exclusion Criteria

* Twins or multiple pregnancy;
* With impaired glucose tolerance or diabetes mellitus before pregnancy;
* With severe chronic diseases or infectious diseases (e.g., liver disease, urinary system disease, cardiovascular disease, autoimmune disease, hematological disease, AIDS and other diseases before pregnancy);
* Medications other than vitamins used during pregnancy;
* Inability to understand and follow-up regularly;
* Other conditions that were judged by the investigator to be ineligible for participation in the study.
Minimum Eligible Age

18 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

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Mudanjiang First People's Hospital

UNKNOWN

Sponsor Role collaborator

Mudanjiang Maternal and Child Health Hospital

UNKNOWN

Sponsor Role collaborator

Peking Union Medical College Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Tedros Adhanom Ghebreyesus

Role: PRINCIPAL_INVESTIGATOR

World Health Organization

Locations

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Mudanjiang First People's Hospital

Mudanjiang, Heilongjiang, China

Site Status RECRUITING

Mudanjiang Maternal and Child Health Hospital

Mudanjiang, Heilongjiang, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Yanbei Duo, Dr.

Role: CONTACT

86+15561852093

Facility Contacts

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Yanbei Duo, Dr.

Role: primary

86+15561852093

Yanbei Duo

Role: primary

86+15561852093

References

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Wang X, Zhao M, Guo Z, Song S, Liu S, Yuan T, Fu Y, Dong Y, Sun H, Liu X, Zhou D, Zhao W, Sun W. Urinary proteomic analysis during pregnancy and its potential application in early prediction of gestational diabetes mellitus and spontaneous abortion. Ann Transl Med. 2022 Jul;10(13):736. doi: 10.21037/atm-21-3497.

Reference Type RESULT
PMID: 35957715 (View on PubMed)

Song S, Duo Y, Zhang Y, Qiao X, Xu J, Zhang J, Peng Z, Chen Y, Nie X, Sun Q, Yang X, Wang A, Sun W, Fu Y, Dong Y, Lu Z, Yuan T, Zhao W. The Predictive Ability of Hepatic Steatosis Index for Gestational Diabetes Mellitus and Large for Gestational Age Infant Compared with Other Noninvasive Indices Among Chinese Pregnancies: A Preliminary Double-center Cohort Study. Diabetes Metab Syndr Obes. 2021 Dec 16;14:4791-4800. doi: 10.2147/DMSO.S335364. eCollection 2021.

Reference Type RESULT
PMID: 34938090 (View on PubMed)

Song S, Zhang Y, Qiao X, Duo Y, Xu J, Peng Z, Zhang J, Chen Y, Nie X, Sun Q, Yang X, Lu Z, Liu S, Zhao T, Yuan T, Fu Y, Dong Y, Zhao W, Sun W, Wang A. HOMA-IR as a risk factor of gestational diabetes mellitus and a novel simple surrogate index in early pregnancy. Int J Gynaecol Obstet. 2022 Jun;157(3):694-701. doi: 10.1002/ijgo.13905. Epub 2021 Sep 24.

Reference Type RESULT
PMID: 34449903 (View on PubMed)

Duo Y, Song S, Zhang Y, Qiao X, Xu J, Zhang J, Peng Z, Chen Y, Nie X, Sun Q, Yang X, Wang A, Sun W, Fu Y, Dong Y, Lu Z, Yuan T, Zhao W. Predictability of HOMA-IR for Gestational Diabetes Mellitus in Early Pregnancy Based on Different First Trimester BMI Values. J Pers Med. 2022 Dec 28;13(1):60. doi: 10.3390/jpm13010060.

Reference Type RESULT
PMID: 36675721 (View on PubMed)

Song S, Zhang Y, Qiao X, Duo Y, Xu J, Peng Z, Zhang J, Chen Y, Nie X, Sun Q, Yang X, Wang A, Lu Z, Sun W, Fu Y, Dong Y, Yuan T, Zhao W. ALT/AST as an Independent Risk Factor of Gestational Diabetes Mellitus Compared with TG/HDL-C. Int J Gen Med. 2022 Jan 5;15:115-121. doi: 10.2147/IJGM.S332946. eCollection 2022.

Reference Type RESULT
PMID: 35023950 (View on PubMed)

Other Identifiers

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K4087

Identifier Type: OTHER_GRANT

Identifier Source: secondary_id

202303075GDM

Identifier Type: -

Identifier Source: org_study_id

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