Preliminary metabolomics analysis of placenta in maternal obesity

Fattuoni, Claudia; Mandò, Chiara; Palmas, Francesco; Anelli, Gaia Maria; Novielli, Chiara; Laudicina, Estefanìa Parejo; Savasi, Valeria; Barberini, Luigi; Dessì, Angelica; Pintus, Roberta; Fanos, Vassilios; Noto, Antonio; Cetin, Irene

doi:10.1016/j.placenta.2017.11.014

Cited by 60 publications

(62 citation statements)

References 46 publications

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Section: Maternal Hfd Alters Placental Metabolomicsmentioning

confidence: 99%

“…Recently, the placental metabolome has become a topic of great interest as changes in the relative concentrations of metabolites occur in some complicated pregnancies (Fattuoni et al, 2018). We analyzed fifty-one polar/ionic metabolites in placental extracts normalized to dried tissue weight using multisegment injection-capillary electrophoresis-mass log-transformed, autoscaled, dried mass normalized R 2 = 0.748, Q 2 = 0.598 The dashed box within VIP plot highlights that 6 placental metabolites were found to be significantly lower in high-fat placentas when using a FDR adjustment (q < 0.05).…”

Section: Maternal High-fat Diet Alters Placental Metabolomicsmentioning

confidence: 99%

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High-fat diet intake modulates maternal intestinal adaptations to pregnancy, and results in placental hypoxia and impaired fetal gut development

Gohir

Kennedy

Wallace

et al. 2018

Preprint

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Shifts in maternal intestinal microbiota have been implicated in metabolic adaptations to pregnancy. In this study we investigated how high-fat diet intake impacts the maternal gut microbiota, intestinal inflammation and gut barrier integrity, placental inflammation, and fetal intestinal development at E18.5. High-fat diet (HFD) was associated with decreased relative abundances of SCFA producing genera during pregnancy. These dietinduced shifts paralleled decreased maternal intestinal mRNA levels of SCFA receptor Gpr41, modestly decreased cecal butyrate, and altered mRNA levels of inflammatory cytokines and immune cell markers in the maternal intestine. Maternal HFD resulted in impaired gut barrier integrity, with corresponding increases in circulating maternal levels of LPS and TNF. Placenta from high-fat fed dams demonstrated blood vessel immaturity and hypoxia, decreased free carnitine, acylcarnitine derivatives, TMAO, as well as altered mRNA levels of inflammation, autophagy and ER stress markers. HFD exposed fetuses had increased activation of NF-κB and inhibition of the unfolded protein response in the developing intestine. Together, these data suggest that high-fat diet intake prior to and during pregnancy shifts the composition of the maternal gut microbiota and impairs gut barrier integrity, resulting in increased maternal circulating LPS, which may ultimate contribute to changes in placental vascularization and fetal gut development.

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Section: Maternal Hfd Alters Placental Metabolomicsmentioning

confidence: 99%

Section: Maternal High-fat Diet Alters Placental Metabolomicsmentioning

confidence: 99%

High-fat diet intake modulates maternal intestinal adaptations to pregnancy, and results in placental hypoxia and impaired fetal gut development

Gohir

Kennedy

Wallace

et al. 2018

Preprint

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“…Through GC-MS, significant differences in antioxidant metabolites, nucleotide production, lipid synthesis and energy production were detected. In detail, obese mothers' placentas also showed a peculiar fatty acids profile, related to an increase in placental metabolism and potentially reflecting intrauterine changes responsible of later diseases, including metabolic syndrome and cardiovascular disease [33].…”

Section: Metabolomics In Obstetricsmentioning

confidence: 98%

“…Moreover, recent evidence highlights the pivotal role played by the placenta during fetal life. Such structure can be defined a metabolic interface between the mother and the fetus, influencing neonatal maturation and metabolism [33].…”

Section: Metabolomics In Obstetricsmentioning

confidence: 99%

How could metabolomics change pediatric health?

Bardanzellu

Fanos

2020

Ital J Pediatr

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In the last years, 'omics' technologies, and especially metabolomics, emerged as expanding scientific disciplines and promising technologies in the characterization of several pathophysiological processes. In detail, metabolomics, able to detect in a dynamic way the whole set of molecules of low molecular weight in cells, tissues, organs, and biological fluids, can provide a detailed phenotypic portray, representing a metabolic "snapshot." Thanks to its numerous strength points, metabolomics could become a fundamental tool in human health, allowing the exact evaluation of individual metabolic responses to pathophysiological stimuli including drugs, environmental changes, lifestyle, a great number of diseases and other epigenetics factors. Moreover, if current metabolomics data will be confirmed on larger samples, such technology could become useful in the early diagnosis of diseases, maybe even before the clinical onset, allowing a clinical monitoring of disease progression and helping in performing the best therapeutic approach, potentially predicting the therapy response and avoiding overtreatments. Moreover, the application of metabolomics in nutrition could provide significant information on the best nutrition regimen, optimal infantile growth and even in the characterization and improvement of commercial products' composition. These are only some of the fields in which metabolomics was applied, in the perspective of a precision-based, personalized care of human health. In this review, we discuss the available literature on such topic and provide some evidence regarding clinical application of metabolomics in heart diseases, auditory disturbance, nephrouropathies, adult and pediatric cancer, obstetrics, perinatal conditions like asphyxia, neonatal nutrition, neonatal sepsis and even some neuropsychiatric disorders, including autism. Our research group has been interested in metabolomics since several years, performing a wide spectrum of experimental and clinical studies, including the first metabolomics analysis of human breast milk. In the future, it is reasonable to predict that the current knowledge could be applied in daily clinical practice, and that sensible metabolomics biomarkers could be easily detected through cheap and accurate sticks, evaluating biofluids at the patient's bed, improving diagnosis, management and prognosis of sick patients and allowing a personalized medicine. A dream? May be I am a dreamer, but I am not the only one.

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“…39 Investigators using metabolomics have shown that obesity causes profound changes in pregnant women that are distinguishable in a variety of body fluids and tissue samples and suggest multiple ways in which obesity changes metabolism. 40,41 For this reason, we examined the withingroup influence of maternal delivery BMI by creating obese and nonobese groups (BMI at hospital admission < or ! 30 kg/m 2 ) of cases and controls for metabolomics analyses.…”

Section: Study Participantsmentioning

confidence: 99%

Metabolomic Pathways Predicting Labor Dystocia by Maternal Body Mass Index

Carlson

Frediani

Corwin

et al. 2020

AJP Rep

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Objectives The purpose of this study was to evaluate the metabolic pathways activated in the serum of African-American women during late pregnancy that predicted term labor dystocia. Study Design Matched case–control study (n = 97; 48 cases of term labor dystocia and 49 normal labor progression controls) with selection based on body mass index (BMI) at hospital admission and maternal age. Late pregnancy serum samples were analyzed using ultra-high-resolution metabolomics. Differentially expressed metabolic features and pathways between cases experiencing term labor dystocia and normal labor controls were evaluated in the total sample, among women who were obese at the time of labor (BMI ≥ 30 kg/m2), and among women who were not obese. Results Labor dystocia was predicted by different metabolic pathways in late pregnancy serum among obese (androgen/estrogen biosynthesis) versus nonobese African-American women (fatty acid activation, steroid hormone biosynthesis, bile acid biosynthesis, glycosphingolipid metabolism). After adjusting for maternal BMI and age in the total sample, labor dystocia was predicted by tryptophan metabolic pathways in addition to C21 steroid hormone, glycosphingolipid, and androgen/estrogen metabolism. Conclusion Metabolic pathways consistent with lipotoxicity, steroid hormone production, and tryptophan metabolism in late pregnancy serum were significantly associated with term labor dystocia in African-American women.

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Preliminary metabolomics analysis of placenta in maternal obesity

Cited by 60 publications

References 46 publications

High-fat diet intake modulates maternal intestinal adaptations to pregnancy, and results in placental hypoxia and impaired fetal gut development

High-fat diet intake modulates maternal intestinal adaptations to pregnancy, and results in placental hypoxia and impaired fetal gut development

How could metabolomics change pediatric health?

Metabolomic Pathways Predicting Labor Dystocia by Maternal Body Mass Index

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