Identifying serum amino acid as biomarkers of gestational diabetes mellitus in second-trimester among Chinese pregnant women: a machine learning-based cross-sectional study
Mid-pregnancy serum AAs, particularly Cys, Lys, Met, and Cit, were associated with GDM risk. These findings highlighted the heterogeneity of GDM metabolic signatures and support AAs as potential biomarkers for diagnosis of GDM.
Authors
- Qiaorui Liu (ORCID: https://orcid.org/0000-0001-7959-1867)
- Dongmei Xu (ORCID: https://orcid.org/0000-0003-3196-9220)
- Mengru Song
- Linpu Ji
- Lingling Cui
- Luying Qin
- Xiaoli Fu
- Haojie Zhao
- Xinqian Li
- Yibo Wang
- Hua Ye
- Xiyue Zheng
- Ruijie Sun
Institutions
- Zhengzhou University (CN)
- Third Affiliated Hospital of Zhengzhou University (CN)
- Henan Forestry Vocational College (CN)
Publication Details
- Journal
- Reproductive Health
- Published
- 2026-03-12
- DOI
- https://doi.org/10.1186/s12978-026-02272-6
- Primary Topic
- Gestational Diabetes Research and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00