Gut Microbiota Associated with Gestational Health Conditions in a Sample of Mexican Women.
Tizziani Benítez-GuerreroJuan Manuel Vélez-IxtaCarmen Josefina Juárez-CastelánKarina Corona-CervantesAlberto Piña-EscobedoHelga Martínez-CoronaAmapola De Sales-MillánYair Cruz-NarváezCarlos Yamel Gómez-CruzTito Ramírez-LozadaGustavo Acosta-AltamiranoMónica Sierra-MartínezPaola Berenice Zárate-SeguraJaime García-MenaPublished in: Nutrients (2022)
Gestational diabetes (GD), pre-gestational diabetes (PD), and pre-eclampsia (PE) are morbidities affecting gestational health which have been associated with dysbiosis of the mother's gut microbiota. This study aimed to assess the extent of change in the gut microbiota diversity, short-chain fatty acids (SCFA) production, and fecal metabolites profile in a sample of Mexican women affected by these disorders. Fecal samples were collected from women with GD, PD, or PE in the third trimester of pregnancy, along with clinical and biochemical data. Gut microbiota was characterized by high-throughput DNA sequencing of V3-16S rRNA gene libraries; SCFA and metabolites were measured by High-Pressure Liquid Chromatography (HPLC) and (Fourier Transform Ion Cyclotron Mass Spectrometry (FT-ICR MS), respectively, in extracts prepared from feces. Although the results for fecal microbiota did not show statistically significant differences in alfa diversity for GD, PD, and PE concerning controls, there was a difference in beta diversity for GD versus CO, and a high abundance of Proteobacteria, followed by Firmicutes and Bacteroidota among gestational health conditions. DESeq2 analysis revealed bacterial genera associated with each health condition; the Spearman's correlation analyses showed selected anthropometric, biochemical, dietary, and SCFA metadata associated with specific bacterial abundances, and although the HPLC did not show relevant differences in SCFA content among the studied groups, FT-ICR MS disclosed the presence of interesting metabolites of complex phenolic, valeric, arachidic, and caprylic acid nature. The major conclusion of our work is that GD, PD, and PE are associated with fecal bacterial microbiota profiles, with distinct predictive metagenomes.
Keyphrases
- ms ms
- mass spectrometry
- pregnancy outcomes
- liquid chromatography
- public health
- healthcare
- pregnant women
- weight gain
- high throughput
- mental health
- high performance liquid chromatography
- health information
- simultaneous determination
- fatty acid
- tandem mass spectrometry
- polycystic ovary syndrome
- preterm birth
- single cell
- multiple sclerosis
- body composition
- adipose tissue
- birth weight
- skeletal muscle
- metabolic syndrome
- human health
- transcription factor
- body mass index
- high resolution mass spectrometry
- circulating tumor
- social media
- dna methylation
- smoking cessation
- health promotion
- weight loss
- big data
- gestational age
- climate change