Metabolomic Biomarkers in Gestational Diabetes Mellitus: A Review of the Evidence

Autor: Aya Mousa, Kate Rassie, Drishti Ghelani, Simon Alesi
Jazyk: angličtina
Rok vydání: 2021
Předmět:
0301 basic medicine
endocrine system diseases
Birth trauma
QH301-705.5
Carbohydrates
030209 endocrinology & metabolism
Review
Bioinformatics
Catalysis
Instrumental delivery
Inorganic Chemistry
03 medical and health sciences
0302 clinical medicine
Metabolomics
Pregnancy
Diabetes mellitus
Lipidomics
medicine
Humans
Amino Acids
Physical and Theoretical Chemistry
Biology (General)
Molecular Biology
QD1-999
Spectroscopy
metabolites
mass spectrometry
business.industry
Organic Chemistry
biomarkers
General Medicine
medicine.disease
Lipids
metabolomics
female genital diseases and pregnancy complications
gestational diabetes mellitus
Computer Science Applications
Gestational diabetes
Clinical Practice
Diabetes
Gestational
Chemistry
030104 developmental biology
Increased risk
lipidomics
Female
business
Metabolic Networks and Pathways
Zdroj: International Journal of Molecular Sciences, Vol 22, Iss 5512, p 5512 (2021)
International Journal of Molecular Sciences
ISSN: 1661-6596
1422-0067
Popis: Gestational diabetes mellitus (GDM) is the fastest growing type of diabetes, affecting between 2 to 38% of pregnancies worldwide, varying considerably depending on diagnostic criteria used and sample population studied. Adverse obstetric outcomes include an increased risk of macrosomia, and higher rates of stillbirth, instrumental delivery, and birth trauma. Metabolomics, which is a platform used to analyse and characterise a large number of metabolites, is increasingly used to explore the pathophysiology of cardiometabolic conditions such as GDM. This review aims to summarise metabolomics studies in GDM (from inception to January 2021) in order to highlight prospective biomarkers for diagnosis, and to better understand the dysfunctional metabolic pathways underlying the condition. We found that the most commonly deranged pathways in GDM include amino acids (glutathione, alanine, valine, and serine), carbohydrates (2-hydroxybutyrate and 1,5-anhydroglucitol), and lipids (phosphatidylcholines and lysophosphatidylcholines). We also highlight the possibility of using certain metabolites as predictive markers for developing GDM, with the use of highly stratified modelling techniques. Limitations for metabolomic research are evaluated, and future directions for the field are suggested to aid in the integration of these findings into clinical practice.
Databáze: OpenAIRE
Externí odkaz: