Published online Oct 15, 2022. doi: 10.4239/wjd.v13.i10.888
Peer-review started: June 18, 2022
First decision: July 14, 2022
Revised: July 23, 2022
Accepted: September 12, 2022
Article in press: September 12, 2022
Published online: October 15, 2022
Processing time: 117 Days and 18.8 Hours
Gestational diabetes mellitus (GDM) is a metabolic disorder in which hyperglycemia develops during pregnancy in non-diabetic women.
Gas chromatography-mass spectrometry (GC-MS) was used to analyze changes in metabonomics in pregnant women with GDM and to explore the mechanism of cognitive function decline in pregnant women with GDM.
To study the cognitive function of pregnant women with GDM and to identify potential volatile markers to evaluate the cognitive impairment of pregnant women with GDM.
Solid-phase microextraction GC-MS analysis was used to detect organic matter in plasma and urine samples. The statistical methods used were principal component analysis and partial least squares-discriminant analysis.
Differential volatile metabolites in the serum of pregnant women with GDM mainly included hexanal, 2-octen-1-ol, and 2-propanol. The differential volatile metabolites in the urine of pregnant women with GDM included benzene, cyclohexanone, 1-hexanol, and phenol.
Of 2-propanol may be a potential volatile marker to evaluate the cognitive impairment of pregnant women with GDM.
The study of perinatal cognitive decline is worthwhile, especially in women with GDM. The key is the prevention and treatment of the disease. Whether 2-propanol can be used as a therapeutic target requires further investigation.