Back

Preeclampsia-Associated Microbiome Alterations Across Maternal Niches and Infant Gut

Birchall, C. L.; VargasRobles, D.; Hickey, D. C.; Cohen-Sandler, R.; Dmello, M.; Leftwich, H.; Maldonado-Contreras, A.

2025-08-27 obstetrics and gynecology
10.1101/2025.08.25.25334409 medRxiv
Show abstract

BackgroundThe maternal microbiome has been implicated in the development of preeclampsia. Here, we comprehensively define the oral, vaginal, and gut microbiomes of women with preeclampsia and their infants and compare them with normotensive controls in the US. MethodsWomen with and without preeclampsia were recruited during delivery. Oral, vaginal, and gut samples were collected before rupture of membranes in women planning a vaginal delivery. Infant stool samples were collected during the first week of life. Microbiome profiling was performed using 16S rRNA gene sequencing for oral, vaginal, and infant stool and shotgun metagenomic sequencing for maternal stool. We performed microbiome analyses comparing groups with and without preeclampsia and those with and without severe features of preeclampsia. ResultsWe recruited 49 and 51 women with and without preeclampsia, respectively. Women with preeclampsia exhibited lower oral microbial richness, distinct composition, and greater interindividual variability than controls. Higher oral microbiome diversity during delivery correlated with lower blood pressure postpartum, regardless of preeclampsia status. Infants of mothers with severe preeclampsia were depleted of gut Bifidobacterium. Other differences in the microbiomes emerged after stratification by ethnicity. Hispanic women with preeclampsia exhibited reduced oral richness and shifts in oral nitrate-reducing taxa; reduced vaginal richness and decreased abundance of vaginal Lactobacillus jensenii; and depletion of Clostridia species and Akkermansia in the gut. ConclusionsPreeclampsia was associated with alterations in the maternal oral, vaginal, and gut microbiomes, depending on the mothers ethnicity. Infants born to women with preeclampsia exhibit a reduction in the abundance of beneficial Bifidobacterium.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.