Diagnosis, GDM, Pathogenesis
Conditions
Keywords
Metabolomics
Brief summary
This study aims to collect serum samples from healthy non-pregnant women, pregnant women with and without Gestational Diabetes Mellitus (GDM). We will analyze the metabolite changes among the three groups using clinical metabolomics and identify potential biomarkers and metabolic pathways. This study will provide scientific evidence for early clinical diagnosis, prevention, control, and treatment research of GDM.
Interventions
OTHERSpecimen samples and baseline data collection
The remaining serum samples from routine blood tests of subjects will be collected (without additional blood collection), with a serum sample size of approximately 1 mL per subject. The samples will be pre-processed and stored at ultra-low temperatures. At the same time, clinical baseline data of subjects will be collected from outpatient or inpatient medical records, including but not limited to age, height, weight, blood pressure, and gestational age.
Sponsors
Women's Hospital School Of Medicine Zhejiang University
Zhejiang University
Study design
Observational model
COHORT
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
FEMALE
Age
20 Years to 40 Years
Healthy volunteers
Yes
Inclusion criteria
* No obvious abnormalities in all inspection items * No history of diabetes * No particular dietary habits * No previous history of other mental illnesses * No history of drug abuse or allergies * No history of smoking or drinking
Exclusion criteria
* Pregnancy complications such as uterine fibroids, hyperthyroidism/hypothyroidism, and antiphospholipid antibody syndrome * Critical illnesses such as cardiovascular disease or abnormal liver/kidney function * Personal history of syphilis, HIV positive, and other infectious diseases * Artificial insemination or IVF pregnancy * Multiple pregnancy (twins or more) * Patients participating in other clinical studies * Other reasons that researchers think are inappropriate
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Content of serum metabolomics | Second trimester (24-28 gestational weeks) | Based on non-targeted metabolomics technology, the metabolites in serum were comprehensively detected. Differential metabolites were screened using multivariate statistical analysis. Then quantitatively detect the content of these metabolites to find the differential metabolites with predictive ability for GDM. |
Countries
China
Contacts
Primary ContactLI Lu, Dr.
Outcome results
None listed