Cargando…
Exploring preconception signatures of metabolites in mothers with gestational diabetes mellitus using a non-targeted approach
BACKGROUND: Metabolomic changes during pregnancy have been suggested to underlie the etiology of gestational diabetes mellitus (GDM). However, research on metabolites during preconception is lacking. Therefore, this study aimed to investigate distinctive metabolites during the preconception phase be...
Autores principales: | Li, Ling-Jun, Wang, Ximeng, Chong, Yap Seng, Chan, Jerry Kok Yen, Tan, Kok Hian, Eriksson, Johan G., Huang, Zhongwei, Rahman, Mohammad L., Cui, Liang, Zhang, Cuilin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022116/ https://www.ncbi.nlm.nih.gov/pubmed/36927416 http://dx.doi.org/10.1186/s12916-023-02819-5 |
Ejemplares similares
-
Automated Machine Learning (AutoML)-Derived Preconception Predictive Risk Model to Guide Early Intervention for Gestational Diabetes Mellitus
por: Kumar, Mukkesh, et al.
Publicado: (2022) -
Metabolic signatures in the conversion from gestational diabetes mellitus to postpartum abnormal glucose metabolism: a pilot study in Asian women
por: Wang, Xi-Meng, et al.
Publicado: (2021) -
Preconception origins of perinatal maternal mental health
por: Kee, Michelle Z. L., et al.
Publicado: (2021) -
Risk score to stratify miscarriage risk levels in preconception women
por: Choo, Xin Hui, et al.
Publicado: (2021) -
Machine Learning–Derived Prenatal Predictive Risk Model to Guide Intervention and Prevent the Progression of Gestational Diabetes Mellitus to Type 2 Diabetes: Prediction Model Development Study
por: Kumar, Mukkesh, et al.
Publicado: (2022)