- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07436195
Imprinting in Metabolic Diseases - Identifying Epigenetic Mechanisms in Human Gestational Diabetes Through Cell-free DNA (Epi_GDM)
This clinical trials aims to investigate the impact of parental metabolism during pregnancy on fetal epigenetic signatures.
The metabolic profiles of both parents will be evaluated through a blood sample collected from the father and an oral glucose tolerance test administered to the pregnant mother. Additionally, epigenetic signatures will be assessed using parental blood samples. Fetal epigenetic signatures can be identified by analyzing fetal cell-free DNA that circulates in the mother's bloodstream.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Epigenetic patterns inherited from both parents significantly influence gene expression and disease susceptibility in their offspring, with particularly negative effects in gestational diabetes, as indicated in animal and observational studies. However, human studies are limited due to the complexity and ethical concerns of collecting samples from fetuses and newborns. Invasive fetal sampling methods carry a risk of pregnancy loss, but the discovery of fetal cell-free DNA in maternal blood has revolutionized prenatal diagnostics by providing a non-invasive alternative. Recent advancements have made it possible to use cell-free DNA analyses also for epigenetic characterizations. The primary objective of this project is to elucidate the bidirectional epigenetic interactions between maternal gestational metabolism and the fetal epigenome, with a focus on identifying and understanding the biological impacts of epigenetic modifications in both the mother and fetus. Additionally, the research seeks to uncover epigenetic biomarkers that are linked to gestational diabetes and to assess the influence of parental epigenetic marks on the fetus. It will examine how parental epigenetics and parental glucose metabolism affects these modifications, facilitating a detailed analysis of the origins and mechanisms of epigenetic transmission.
We will recruit couples between gestational weeks 24 and 28, with and without gestational diabetes, and perform metabolic characterizations. Maternal cell-free DNA (including fetal DNA), maternal nuclear DNA, and paternal nuclear and cell-free DNA will be collected for methylation analyses.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Martin Heni, Prof, MD
- Phone Number: +49 731 500 44505
- Email: martin.heni@uniklinik-ulm.de
Study Contact Backup
- Name: Sabrina Wangler
- Phone Number: +49 731 500 44782
- Email: sabrina.wangler@uniklinik-ulm.de
Study Locations
-
-
Baden-Wurttemberg
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Ulm, Baden-Wurttemberg, Germany, 89081
- Recruiting
- Ulm University Hospital
-
Contact:
- Martin Heni, Prof.
- Phone Number: +49 731 500 44505
- Email: martin.heni@uniklinik-ulm.de
-
Contact:
- Sabrina Wangler
- Phone Number: +49 731 500 44782
- Email: sabrina.wangler@uniklinik-ulm.de
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Pregnant women between 20 and 28 weeks of gestation
- The father of the child is known and willing to participate in the study
- No known underlying medical conditions in either parent
- No fetal abnormalities detected in first-trimester screening, detailed fetal anatomy ultrasound, non-invasive prenatal testing (NIPT), or any additional prenatal examinations performed, if applicable
- No known underlying diseases
- Understanding and voluntary signing of a consent form before study- related examinations
Exclusion Criteria:
- Age < 18 years
- Type 1 or type 2 diabetes mellitus
- Pharmacological treatment affecting blood glucose levels (e.g., steroids, insulin)
- Endocrine disorders (e.g., hyperthyroidism, polycystic ovary syndrome [PCOS])
- Current depression or other psychiatric disorders
- Eating disorders
- Regular use of medication during pregnancy
- Pre-existing cardiovascular disease
- Drug and/or alcohol abuse
- Estimated glomerular filtration rate (eGFR) < 60 ml/min/1.73 m²
- C-reactive protein > 10 mg/l
- Transaminase elevation of 2 times the upper norm
- No consent to be informed about incidentally discovered pathological findings
- Any other (clinical) condition that would endanger participants safety or question scientific success according to the physicians opinion.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Pregnant women + fathers of the unborn child
Metabolic and epigenetic characterization
|
Pregnant women will undergo an oral glucose tolerance test to characterize metabolism and assess the presence of gestational diabetes. Moreover, they will undergo blood sampling to assess the mothers' epigenetic signatures and the fetal epigenetic signatures based on circulating fetal cell-free DNA. Fathers will undergo (if possible fasting) blood sample to characterize metabolism and epigenetic signatures |
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Epigenetic profiles of parents and fetuses
Time Frame: Baseline
|
Methylation pattern of CpG sites in fathers, mothers and fetuses assessed from blood samples from the father and the mother. Genome-wide DNA methylation will be quantified as 5-methylcytosine (5mC) levels at CpG sites in maternal and paternal nuclear DNA from peripheral blood. Long-read sequencing will be used to detect genomic sequences and base modifications. Fetal DNA methylation will be assessed from fetal cell-free DNA isolated from maternal plasma using long-read sequencing. Allelic phasing will be applied to assign epigenetic modifications to parental origin. Deconvolution analysis will be used to subtract blood cell-derived epigenetic patterns and infer tissue-of-origin signals. |
Baseline
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Epigenetic signatures of gestational diabetes
Time Frame: Baseline
|
Differentially methylated regions will be computed across parental genomic DNA and fetal cell-free DNA between women with and without gestational diabetes.
Differentially methylated regions will be bioinformatically annotated to candidate genes and pathogenic pathways.
|
Baseline
|
|
Correlation of epigenetic signatures and glycemia
Time Frame: Baseline
|
Glucose level assessed from glucose measurements from fasting blood sample or oral glucose tolerance test.
|
Baseline
|
|
Correlation of epigenetic signatures and insulin sensitivity
Time Frame: Baseline
|
Insulin sensitivity assessed by Homeostasis Model Assessment of insulin resistance based on glucose and insulin measurements from fasting blood sample or oral glucose tolerance test.
|
Baseline
|
|
Correlation of epigenetic signatures and insulin secretion
Time Frame: Baseline
|
Insulin secretion assessed by Homeostasis Model Assessment of beta-cell function based on glucose and insulin measurements from fasting blood sample and oral glucose tolerance test.
|
Baseline
|
|
Correlation of epigenetic signatures and lipids
Time Frame: Baseline
|
Lipid profiles assessed from lipid measurements from fasting blood sample.
|
Baseline
|
Collaborators and Investigators
Sponsor
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
Additional Relevant MeSH Terms
Other Study ID Numbers
- 28/25
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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