Tyramine Localization Closely Corelates to Circular Vesicles Within the Mouse Uterine Horn Using Correlational Fluorescence and Scanning Electron Microscopy

Obayomi, SM Bukola; Baluch, D. Page

doi:10.1017/s1431927620017791

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…Tyramine was shown to colocalize with synaptic vesicles in the mouse uterine plexus, highlighting a possible role in uterine contractions 48,49 . Altogether, these results highlight the potential connection between vaginal metabolites, metabolite levels in various reproductive organs, and preterm delivery.…”

Section: Metabolite Associations With Sptb Interact With Race and Sptb Timingmentioning

confidence: 96%

Preterm birth is associated with xenobiotics and predicted by the vaginal metabolome

Kindschuh

Baldini

Liu

et al. 2021

Preprint

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Spontaneous preterm birth (sPTB) is a leading cause of maternal and neonatal morbidity and mortality, yet both its prevention and early risk stratification are limited. The vaginal microbiome has been associated with PTB risk, possibly via metabolic or other interactions with its host. Here, we performed untargeted metabolomics on 232 vaginal samples, in which we have previously profiled the microbiota using 16S rRNA gene sequencing. Samples were collected at 20-24 weeks of gestation from women with singleton pregnancies, of which 80 delivered spontaneously before 37 weeks of gestation. We find that the vaginal metabolome correlates with the microbiome and separates into six clusters, three of which are associated with spontaneous preterm birth (sPTB) in Black women. Furthermore, while we identify five metabolites that associate with sPTB, another five associate with sPTB only when stratifying by race. We identify multiple microbial correlations with metabolites associated with sPTB, including intriguing correlations between vaginal bacteria that are considered sub-optimal and metabolites that were enriched in women who delivered at term. We propose that several sPTB-associated metabolites may be exogenous, and investigate another using metabolic models. Notably, we use machine learning models to predict sPTB risk using metabolite levels, weeks to months in advance, with high accuracy. We show that these predictions are more accurate than microbiome-based and maternal covariates-based models. Altogether, our results demonstrate the potential of vaginal metabolites as early biomarkers of sPTB and highlight exogenous exposures as potential risk factors for prematurity.

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Section: Metabolite Associations With Sptb Interact With Race and Sptb Timingmentioning

confidence: 96%

Preterm birth is associated with xenobiotics and predicted by the vaginal metabolome

Kindschuh

Baldini

Liu

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…2a). Tyramine was shown to co-localize with synaptic vesicles in the mouse uterine plexus, highlighting a possible role in uterine contractions 48 . Altogether, these results highlight the potential connection among vaginal metabolites, metabolite levels in other organs and sPTB.…”

Section: Metabolite Associations Interact With Race and Sptb Timingmentioning

confidence: 99%

Preterm birth is associated with xenobiotics and predicted by the vaginal metabolome

et al. 2023

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Spontaneous preterm birth (sPTB) is a leading cause of maternal and neonatal morbidity and mortality, yet its prevention and early risk stratification are limited. Previous investigations have suggested that vaginal microbes and metabolites may be implicated in sPTB. Here we performed untargeted metabolomics on 232 second-trimester vaginal samples, 80 from pregnancies ending preterm. We find multiple associations between vaginal metabolites and subsequent preterm birth, and propose that several of these metabolites, including diethanolamine and ethyl glucoside, are exogenous. We observe associations between the metabolome and microbiome profiles previously obtained using 16S ribosomal RNA amplicon sequencing, including correlations between bacteria considered suboptimal, such as Gardnerella vaginalis, and metabolites enriched in term pregnancies, such as tyramine. We investigate these associations using metabolic models. We use machine learning models to predict sPTB risk from metabolite levels, weeks to months before birth, with good accuracy (area under receiver operating characteristic curve of 0.78). These models, which we validate using two external cohorts, are more accurate than microbiome-based and maternal covariates-based models (area under receiver operating characteristic curve of 0.55–0.59). Our results demonstrate the potential of vaginal metabolites as early biomarkers of sPTB and highlight exogenous exposures as potential risk factors for prematurity.

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Tyramine Localization Closely Corelates to Circular Vesicles Within the Mouse Uterine Horn Using Correlational Fluorescence and Scanning Electron Microscopy

Abstract: This is an Accepted Manuscript for the Microscopy and Microanalysis 2020 Proceedings. This version may be subject to change during the production process.

Cited by 2 publications

References 5 publications

Preterm birth is associated with xenobiotics and predicted by the vaginal metabolome

Preterm birth is associated with xenobiotics and predicted by the vaginal metabolome

Preterm birth is associated with xenobiotics and predicted by the vaginal metabolome

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