- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06542718
Studying Phenotypes of Gestational Diabetes Mellitus in an Asian Pregnant Cohort (GDM-CARE)
Studying the Heterogeneity of Gestational Diabetes Mellitus: Cardio-Metabolic Alteration and Treatment Response in a Multi-Ethnic Population in Singapore (GDM-CARE)
Gestational diabetes mellitus (GDM) is a transient hyperglycemic condition identified during pregnancy in women without a history of chronic diabetes. Evidence indicates that GDM can lead to various adverse health outcomes, including preterm birth, progression to pre-diabetes, and type 2 diabetes after delivery in mothers. Notably, GDM is becoming increasingly prevalent among Asian pregnant women due to rising rates of overweight and obesity, as well as genetic susceptibility. Despite growing recognition of GDM, its treatment efficiency and efficacy remain poor, primarily due to its heterogeneity, which is underpinned by various pathophysiological mechanisms.
Therefore, a better understanding of GDM heterogeneity can aid clinicians in providing more targeted treatment and follow-up strategies for GDM mothers. This study aims to define GDM phenotypes based on in vivo cardio-metabolic profiles and treatment response during pregnancy, utilizing advanced technologies such as continuous glucose profiling and untargeted metabolite profiling. In this proposed 3-year pregnancy cohort study, the investigators will recruit 800 overweight or obese Asian pregnant women in early pregnancy, without a history of diabetes, and follow them through to delivery. The goal of the study is to develop systematic antenatal and postnatal screening, treatment, and intervention guidelines for mothers with GDM.
Study Overview
Status
Detailed Description
The transient hyperglycemia first identified during pregnancy is known as gestational diabetes mellitus (GDM). GDM increases the risks of adverse pregnancy and neonatal outcomes, such as pre-eclampsia and macrosomia. Due to the widespread prevalence of overweight, obesity, and genetic susceptibility, GDM is more common among Asian pregnant women-occurring 2- to 3-fold more frequently compared to European pregnant women, with rates ranging from 15% to 30% in individuals of Chinese and Indian descent.
Emerging evidence suggests that variations in insulin sensitivity, fat deposition, and β-cell activity may contribute to the heterogeneous phenotypes of GDM, leading to different pregnancy outcomes and maternal diabetic progression. However, current clinical treatment and follow-up strategies for GDM typically adopt a "one-size-fits-all" approach, ignoring the underlying pathophysiological variations among patients. As a result, the efficiency and efficacy of the current clinical approach during pregnancy and postpartum are suboptimal.
In this study, the investigators aim to define the heterogeneity of GDM in terms of in vivo cardio-metabolic profiling and treatment response during pregnancy, using advanced technologies such as continuous glucose profiling and untargeted metabolite profiling. The investigators hypothesize that a better clinical and molecular understanding of GDM phenotypes will enable tailored, effective treatment strategies for individuals and aid in predicting and preventing postnatal abnormal glucose metabolism.
This proposed 3-year longitudinal study will involve a cohort of 800 overweight (23-24.9 kg/m²) or obese (≥25 kg/m²) singleton pregnant women, recruited no later than 12 weeks of gestation. These women, who are of Chinese, Malay, and Indian ethnicities, will be recruited from the National University Hospital (NUH) in Singapore and will not have a history of diabetes. All participants will be screened for GDM at 24-28 weeks of gestation and followed until delivery.
The primary outcome will be the identification of GDM phenotype-specific continuous glycemic profiles and alterations in cardio-metabolic biomarkers. The secondary outcome will focus on the treatment responses specific to different GDM phenotypes.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Ling-Jun Li, MD, PhD
- Phone Number: 81000229
- Email: obgllj@nus.edu.sg
Study Locations
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Singapore, Singapore, 117549
- Recruiting
- Department of Obstetrics & Gynaecology
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Contact:
- Ling-Jun Li, MD, PhD
- Phone Number: 81000229
- Email: obgllj@nus.edu.sg
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Gestational age of ≤ 13 weeks 6 days
- Overweight and obese subjects with BMI of 23kg/m² - 24.9kg/m² and ≥ 25.0kg/m², respectively
- Aged 21-45 years with singleton pregnancy
- Plan to be followed up during the whole pregnancy and deliver at NUH
- Chinese, Malay or Indian ethnicity for pregnant subject
- Can complete questionnaires in English language
- Willing to wear continuous glucose monitoring device at least for 7 days at each required clinic visit
Exclusion Criteria:
- Participants who are not Singapore citizens or Singapore Permanent Residents, not intending to eventually deliver in Singapore National University Hospital and to reside in Singapore for the next 2 years
- Have serious skin conditions (eg. eczema) that precludes wearing the sensor for 14 days
- With history of Type 1 diabetes or Type 2 diabetes
- With chronic preexisting life-threatening conditions including pancreatic cancer, end-stage kidney dysfunction, and psychosis
- Unable to read or speak English
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
IADPSG (International Association of Diabetes and Pregnancy Study Groups)-defined Gestational Diabetes Mellitus (GDM)
Time Frame: 3 years
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Oral Glucose Tolerance Test (OGTT) will be performed during universal screening at 24-28 weeks of gestational age.
0, 1 hour and 2 hour glucose readings will be measured after 8-10 hours of overnight fasting, after a 75 grams glucose drink.
Cutoffs are according to The International Association of Diabetes and Pregnancy Study Groups (IADPSG) guidelines.
|
3 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Rates of Diet or Insulin-treated gestational diabetes mellitus based on phenotypes
Time Frame: 3 years
|
The rates of treatment-specific gestational diabetes phenotypes will be calculated.
|
3 years
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Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Rate of large-for-gestational age (LGA) babies based on GDM phenotypes
Time Frame: 3 year
|
The numbers and rates of LGA babies according to different GDM phenotypes will be calculated.
|
3 year
|
Collaborators and Investigators
Publications and helpful links
General Publications
- McIntyre HD, Catalano P, Zhang C, Desoye G, Mathiesen ER, Damm P. Gestational diabetes mellitus. Nat Rev Dis Primers. 2019 Jul 11;5(1):47. doi: 10.1038/s41572-019-0098-8.
- Chong YS, Cai S, Lin H, Soh SE, Lee YS, Leow MK, Chan YH, Chen L, Holbrook JD, Tan KH, Rajadurai VS, Yeo GS, Kramer MS, Saw SM, Gluckman PD, Godfrey KM, Kwek K; GUSTO study group. Ethnic differences translate to inadequacy of high-risk screening for gestational diabetes mellitus in an Asian population: a cohort study. BMC Pregnancy Childbirth. 2014 Oct 2;14:345. doi: 10.1186/1471-2393-14-345.
- Yu Q, Aris IM, Tan KH, Li LJ. Application and Utility of Continuous Glucose Monitoring in Pregnancy: A Systematic Review. Front Endocrinol (Lausanne). 2019 Oct 11;10:697. doi: 10.3389/fendo.2019.00697. eCollection 2019.
- Powe CE, Hivert MF, Udler MS. Defining Heterogeneity Among Women With Gestational Diabetes Mellitus. Diabetes. 2020 Oct;69(10):2064-2074. doi: 10.2337/dbi20-0004. Epub 2020 Aug 25.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2021/01076
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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