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.
Study Type
OBSERVATIONAL
Enrollment
480
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.
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.
Women's Hospital School Of Medicine Zhejiang University
Hangzhou, Zhejiang, China
RECRUITINGContent of serum metabolomics
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.
Time frame: Second trimester (24-28 gestational weeks)
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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.