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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.
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.
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| Measure | Description | Time Frame |
|---|---|---|
| IADPSG (International Association of Diabetes and Pregnancy Study Groups)-defined Gestational Diabetes Mellitus (GDM) | 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 |
| Measure | Description | Time Frame |
|---|---|---|
| Rates of Diet or Insulin-treated gestational diabetes mellitus based on phenotypes | The rates of treatment-specific gestational diabetes phenotypes will be calculated. | 3 years |
| Measure | Description | Time Frame |
|---|---|---|
| Rate of large-for-gestational age (LGA) babies based on GDM phenotypes | The numbers and rates of LGA babies according to different GDM phenotypes will be calculated. | 3 year |
Inclusion Criteria:
Exclusion Criteria:
Only pregnant subjects are recruited in the National University Hospital in Singapore.
This is a prospective longitudinal study conducted at the Singapore National University Hospital (NUH) Obstetrics and Gynecology outpatient clinic. A cohort of 800 pregnant women will be recruited at NUH over a period of 18 months. The study involves 800 overweight (23-24.9 kg/m²) or obese (≥25 kg/m²) singleton pregnant women-without a history of diabetes and comprising Chinese, Malay, and Indian ethnicities-during their first trimester at the National University Hospital (NUH) in Singapore. All participants will be recruited no later than 12 weeks of gestation and screened for GDM between 24 and 28 weeks of gestation. The investigators will then follow up with the women diagnosed with GDM (approximately 200) from 32-34 weeks of gestation until delivery.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Ling-Jun Li, MD, PhD | Contact | 81000229 | obgllj@nus.edu.sg |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Obstetrics & Gynaecology | Recruiting | Singapore | 117549 | Singapore |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 31296866 | Background | 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. | |
| 25273851 | Background | 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. |
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Individual participant data will only be shared based on write-in proposal to the PI.
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot | Yes | No | No | Study Protocol | Nov 20, 2023 | Jul 27, 2024 | Prot_000.pdf |
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| ID | Term |
|---|---|
| D016640 | Diabetes, Gestational |
| D011248 | Pregnancy Complications |
| D001724 | Birth Weight |
| D007333 | Insulin Resistance |
| D003920 | Diabetes Mellitus |
| ID | Term |
|---|---|
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
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Plasma, serum and fecal samples will be collected across gestation.
| 31681170 | Background | 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. |
| 32843565 | Background | 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. |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
| D001835 | Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D006946 | Hyperinsulinism |