ArticleArchives of gynecology and obstetrics2024
Mode of delivery may seriously affect omics studies using umbilical cord blood and amniotic fluid.
Article in Archives of gynecology and obstetrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Hormonal imbalance in umbilical vein cord blood of pregnant women with endometriosis: a propensity score-matched analysis.Reproductive biology and endocrinology : RB&E · 2025Article
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Authors and funding
4 authors.
Funding
Abstract
There is a general lack of awareness regarding how the mode of delivery can significantly influence the omics composition of biological samples such as umbilical cord blood and amniotic fluid. To address this, we analyzed the impact of delivery mode on proteomic and metabolomic profiles in a cohort of 40 healthy pregnant women without complications, including 16 who had vaginal delivery (VD), 16 who underwent elective cesarean delivery by maternal request (CS), and 8 who had intrapartum cesarean section (Intra_CS). Using label-free liquid chromatography-tandem mass spectrometry (LC-MS/MS) for proteomic and untargeted metabolomic analyses, we compared amniotic fluid and cord blood samples across delivery modes. The amniotic fluid proteomic and metabolomic profiles of CS women exhibited clear separation from those of VD individuals, whereas only the proteomic profiles of the Intra_CS group differed when compared to the CS group. In cord blood, metabolomic profiles differed between CS and VD women, but proteomic profiles showed no separation. These findings highlight the significant impact of delivery mode on omics profiles, particularly amniotic fluid proteomics and metabolomics, and cord blood metabolomics. Larger studies are needed to validate these findings and expand their generalizability to broader populations.
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