The plasma metabolome of women in early pregnancy differs from that of non-pregnant women

Handelman, Samuel K.; Romero, Roberto; Tarca, Adi L.; Pacora, Percy; Ingram, Brian O.; Maymon, Eli; Chaiworapongsa, Tinnakorn; Hassan, Sonia S.; Erez, Offer

doi:10.1371/journal.pone.0224682

Cited by 32 publications

(27 citation statements)

References 147 publications

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“…Omics Data Analyses Provide a Deep View of the Biological Pathways of Pregnancy A more complete characterization of the mother's biological state can be obtained by utilizing, in addition to genetic and epigenetic data, high-throughput methods to assess the maternal transcriptome, metabolome, proteome, and microbiome (Box 1). Given the massive pregnancy-induced changes in maternal tissue-specific gene expression and the accompanying metabolic, hormonal, and immune adaptations, these modalities can reveal different facets of maternal and fetal health at specific points in time [78][79][80][81][82]. For example, cell-free RNA (cfRNA) from blood or amniotic fluid can be used to monitor the dynamics of fetal development and placentation, with implications for the early diagnosis of preeclampsia by the detection of biomarkers of dysfunctional placentation in maternal plasma [83,84].…”

Section: Genetics and Epigenetics For Characterizing Pregnancymentioning

confidence: 99%

Data-Driven Modeling of Pregnancy-Related Complications

Espinosa

Becker

Marić

et al. 2021

Trends in Molecular Medicine

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A multitude of clinical, biological, environmental, and demographic factors influence the trajectory of a pregnancy. Maternal genetics, environment, stress, nutrition, medical history, socioeconomic status, and racial and ethnic background all play a role in determining the success of a pregnancy. Diverse data sources are available for the study of pregnancy and prediction of adverse outcomes, including electronic health records (EHRs) and administrative claims data, high-throughput multiomics data for characterizing biological systems, and more complex sources like time series, imaging and video data, and text. Recent advances in multiview, multitask, and deep learning allow joint modeling across data sources as well as across outcomes and demonstrate the vast potential of such integrated approaches.

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Section: Genetics and Epigenetics For Characterizing Pregnancymentioning

confidence: 99%

Data-Driven Modeling of Pregnancy-Related Complications

Espinosa

Becker

Marić

et al. 2021

Trends in Molecular Medicine

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show abstract

“…Metabolomics data represent a downstream of outcome of systems biology that has drawn significant interest for its capacity to unravel essential biological processes [ 6 ]. As such, findings from metabolomics studies may help to identify potential biomarkers of given phenotypes related to health and diseases, including pregnancy and pregnancy-associated dysfunctions [ 7 ]. Within cattle populations, metabolomics analysis has been utilized to provide assessments of the quality of embryos and oocytes to identify interactions between mother and embryo, and to determine differences in fertility and infertility using plasma, uterine luminal fluid, and seminal plasma [ 5 , 6 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Metabolomic profiles of plasma and uterine luminal fluids from healthy and repeat breeder Holstein cows

et al. 2021

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Background Repeat breeding is a critical reproductive disorder in cattle. The problem of repeat breeder cattle remains largely unmanageable due to a lack of informative biomarkers. Here, we utilized metabolomic profiling in an attempt to identify metabolites in the blood plasma and uterine luminal fluids. We collected blood and uterine fluid from repeat breeder and healthy cows on day 7 of the estrous cycle. Results Metabolomic analysis identified 17 plasma metabolites detected at concentrations that distinguished between the two groups, including decreased various bile acids among the repeat breeders. However, no metabolites that varied significantly were detected in the uterine luminal fluids between two groups. Among the plasma samples, kynurenine was identified as undergoing the most significant variation. Kynurenine is a metabolite produced from tryptophan via the actions of indoleamine 2,3-dioxygenase (IDO). As IDO is key for maternal immune tolerance and induced in response to interferon tau (IFNT, ruminant maternal recognition of pregnancy factor), we examined the responsiveness to IFNT on peripheral blood mononuclear cells (PBMC) isolated from healthy and repeat breeder cows. The mRNA expression of IFNT-response makers (ISG15 and MX2) were significantly increased by IFNT treatment in a dose-dependent manner in both groups. Although treatment with IFNT promoted the expression of IDO in PBMCs from both groups, it did so at a substantially reduced rate among the repeat breeder cows, suggesting that decreased levels of kynurenine may relate to the reduced IDO expression in repeat breeder cows. Conclusions These findings provide valuable information towards the identification of critical biomarkers for repeat breeding syndrome in cattle.

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“…Hair proteins observed in individual mothers and children contained 2,269 unique 'proteoforms' or protein isoforms; 1,438 proteins were commonly observed in mothers, 1,368 proteins were commonly observed in children, whereas 1,288 hair proteins showed individual variability among mothers and children. Higher spectral counts (p=0.0004) and higher numbers of proteins (p=0.001) were observed in mothers compared to children (Fig.1), perhaps reflecting a wider array of biological functions in adult females related to reproduction (24)(25)(26), aging (27,28), or disease states (29). These age differences are explored further in subsequent analyses.…”

Section: Features Of Hair Proteinsmentioning

confidence: 95%

Proteins observed in scalp hair from preschool children

Singhal

et al. 2021

Preprint

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Early childhood experiences have long-lasting effects on subsequent mental and physical health, education, and employment. Measurement of these effects relies on insensitive behavioral signs, subjective assessments by adult observers, neuroimaging and neurophysiological studies, or remote epidemiologic outcomes. Despite intensive search, no biomarkers for developmental changes in the brain have been identified. We analyzed scalp hair from healthy children and their mothers using an unbiased proteomics platform to reveal 1368 hair proteins commonly observed in children, 1438 proteins commonly observed in mothers, and 1288 proteins observed sporadically in individual subjects. Mothers showed higher numbers of peptide spectral matches and hair proteins compared to children, with important age-related differences between mothers and children. Age-related differences were also observed in children, with differential protein expression patterns between younger (2 years and below) and older children (3-5 years). Boolean analyses showed greater conservation of hair protein patterns between mothers and their biological children as compared to mothers and unrelated children. The top 5% proteins driving population variability represent biological pathways associated with brain development, immune signaling, and stress response regulation. Non-structural proteins observed in scalp hair may include promising biomarkers to investigate the developmental changes associated with early childhood experiences.One Sentence SummaryThe non-structural proteins observed in scalp hair from preschool children show evidence for heritability, reflect biological functions such as brain development, or immune function and regulation of stress responses, and exhibit age- and sex-related differences across periods of early childhood development.

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The plasma metabolome of women in early pregnancy differs from that of non-pregnant women

Cited by 32 publications

References 147 publications

Data-Driven Modeling of Pregnancy-Related Complications

Data-Driven Modeling of Pregnancy-Related Complications

Metabolomic profiles of plasma and uterine luminal fluids from healthy and repeat breeder Holstein cows

Proteins observed in scalp hair from preschool children

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