Metabolic profiles in gestational diabetes mellitus can reveal novel biomarkers for prediction of adverse neonatal outcomes
The study delineated metabolic disruptions in GDM during 24-28 weeks of gestation and pinpointed biomarkers capable of forecasting adverse neonatal outcomes. These findings could inform GDM management strategies and minimize the incidence of such outcomes.
Authors
- Hong Zhong (ORCID: https://orcid.org/0000-0002-9536-2172)
- Min‐Ying Su (ORCID: https://orcid.org/0000-0002-3069-0271)
- Tingting Yu (ORCID: https://orcid.org/0000-0001-6030-9614)
- Xiaoxiao Yin (ORCID: https://orcid.org/0009-0009-4812-0101)
- Chunjian Shan (ORCID: https://orcid.org/0000-0002-4355-5554)
- Chenbo Ji (ORCID: https://orcid.org/0000-0002-9869-4228)
- Min Zhang (ORCID: https://orcid.org/0000-0003-4052-4506)
- Ling Chen (ORCID: https://orcid.org/0000-0003-4557-8511)
- Dongmei Jiang (ORCID: https://orcid.org/0000-0002-7926-8645)
- Jiaai Xia
- Xianwei Cui
Institutions
- Nantong University (CN)
- Affiliated Hospital of Nantong University (CN)
- Nanjing Maternity and Child Health Care Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Frontiers in Pediatrics
- Published
- 2024-08-21
- DOI
- https://doi.org/10.3389/fped.2024.1432113
- Citations
- 4
- Primary Topic
- Gestational Diabetes Research and Management
- Type
- article
- Field-Weighted Citation Impact
- 2.33