Altered breast milk components in preeclampsia; An in-vitro proton NMR spectroscopy study

Dangat, Kamini; Upadhyay, Deepti; Kilari, Anitha; Sharma, Uma; Kemse, Nisha G.; Mehendale, Savita; Lalwani, Sanjay; Wagh, Girija; Joshi, Sadhana; Jagannathan, Naranamangalam R.

doi:10.1016/j.cca.2016.10.015

Cited by 32 publications

(31 citation statements)

References 45 publications

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“…The remaining studies used urine (n = 1) (Diaz, Barros, Goodfellow, Duarte, Galhano, Pita, Almeida et al 2013), urine and serum (n = 2) (Austdal, Skråstad, Gundersen, Austgulen, Iversen, Bathen 2014; Austdal, Tangerås, Skråstad, Salvesen, Austgulen, Iversen, Bathen 2015), or breast milk (n=1) (Dangat, Upadhyay, Kilari, Sharma, Kemse, Mehendale, Lalwani et al 2016). Sixteen studies performed metabolic profiling with Mass Spectrometry (MS), while 12 used a form of nuclear magnetic resonance spectroscopy (NMR).…”

Section: Resultsmentioning

confidence: 99%

“…, Kenny et al (2005) achieved 100% sensitivity and 98% specificity with a combination of three unnamed metabolite peaks in plasma (Kenny, Dunn, Ellis, Myers, Baker, Kell 2005). Finally, Dangat et al (Dangat, Upadhyay, Kilari, Sharma, Kemse, Mehendale, Lalwani et al 2016) determined using PLS-DA that a combination of seven metabolites in breast milk could discriminate cases from controls even up to six months after delivery (R2=0.93, Q2=0.61).…”

Section: Resultsmentioning

confidence: 99%

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Applications of metabolomics in the study and management of preeclampsia: a review of the literature

et al. 2017

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Introduction: Preeclampsia represents a major public health burden worldwide, but predictive and diagnostic biomarkers are lacking. Metabolomics is emerging as a valuable approach to generating novel biomarkers whilst increasing the mechanistic understanding of this complex condition. Objectives: To summarize the published literature on the use of metabolomics as a tool to study preeclampsia. Methods: PubMed and Web of Science were searched for articles that performed metabolomic profiling of human biosamples using either Mass-spectrometry or Nuclear Magnetic Resonance based approaches and which included preeclampsia as a primary endpoint. Results: Twenty-eight studies investigating the metabolome of preeclampsia in a variety of biospecimens were identified. Individual metabolite and metabolite profiles were reported to have discriminatory ability to distinguish preeclamptic from normal pregnancies, both prior to and post diagnosis. Lipids and carnitines were among the most commonly reported metabolites. Further work and validation studies are required to demonstrate the utility of such metabolites as preeclampsia biomarkers. Conclusion: Metabolomic-based biomarkers of preeclampsia have yet to be integrated into routine clinical practice. However, metabolomic profiling is becoming increasingly popular in the study of preeclampsia and is likely to be a valuable tool to better understand the pathophysiology of this disorder and to better classify its subtypes, particularly when integrated with other omic data.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Applications of metabolomics in the study and management of preeclampsia: a review of the literature

et al. 2017

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“…In the current study, we combined detailed metabolomic analysis of human milk from lean compared with overweight or obese women, together with longitudinal analysis of weight gain and body composition in infants, to test whether differentially abundant metabolites in milk are associated with infant obesity. Previous analyses of the human milk metabolome have focused on differences in milk composition according to gestational age (39)(40)(41), postnatal age (39), and maternal health status [e.g., diet/lifestyle (42), pre-eclampsia (43), chemotherapy (44)], but our analysis is the first comprehensive analysis of the milk metabolome in relation to both maternal and infant obesity. We demonstrate that maternal obesity is associated with modest differences in the human milk metabolome; metabolite differences did not survive adjustment for multiple corrections at 1 mo postpartum, whereas maternal obesity was modestly associated with milk metabolite content at 6 mo postpartum.…”

Section: Discussionmentioning

confidence: 99%

Maternal obesity and the human milk metabolome: associations with infant body composition and postnatal weight gain

Isganaitis

Venditti

Matthews

et al. 2019

The American Journal of Clinical Nutrition

114

156

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BackgroundMaternal obesity is a risk factor for childhood obesity; this is a major public health concern given that ∼40% of pregnant women are either overweight or obese. Whether differences in milk composition in lean compared with obese women contribute to childhood obesity is unclear.ObjectivesWe aimed to analyze relationships between maternal obesity and human milk metabolites, infant body composition, and postnatal weight gain.MethodsThis was a prospective study in which mothers intending to breastfeed exclusively, and their newborn infants, were enrolled at delivery (n = 35 mother–infant pairs). We excluded mothers with diabetes, other medical conditions, or pregnancy complications. Participants were grouped by maternal prepregnancy BMI <25 (lean) or ≥25 kg/m2 (overweight/obese). We analyzed infant body composition by dual-energy X-ray absorptiometry and used untargeted liquid chromatography–gas chromatography–mass spectrometry to measure the milk content of 275 metabolites at 1 and 6 mo postpartum.ResultsAt 1 mo postpartum, 10 metabolites differed between overweight/obese and lean groups with nominal P < 0.05, but none was altered with a false discovery rate <0.25. Many differentially abundant metabolites belonged to the same chemical class; e.g., 4/10 metabolites were nucleotide derivatives, and 3/10 were human milk oligosaccharides. Milk adenine correlated positively with both continuously distributed maternal BMI and with infant adiposity and fat accrual. Analysis of milk composition at 6 mo postpartum revealed 20 differentially abundant metabolites (P < 0.05) in overweight/obese compared with lean women, including 6 metabolites with a false discovery rate of <0.25. At both 1 and 6 mo, human milk abundance of 1,5-anhydroglucitol, which has not previously been described in milk, was positively associated with maternal BMI.ConclusionsMaternal obesity is associated with changes in the human milk metabolome. While only a subset of metabolites correlated with both maternal and infant weight, these point to potential milk-dependent mechanisms for mother–child transmission of obesity. This trial was registered at www.clinicaltrials.gov as NCT02535637.

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“…Both glutamine and glutamate are important energy sources for intestinal cells and are needed for infant growth. When Dangat et al compared healthy women in India to women with maternal conditions such as pre-eclampsia, which are associated with growth retardation in offspring, they found healthy women to have higher glutamine and glutamate levels in their milk, as well as higher lactose concentrations [ 38 ].…”

Section: Discussionmentioning

confidence: 99%

Worldwide Variation in Human Milk Metabolome: Indicators of Breast Physiology and Maternal Lifestyle?

et al. 2018

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Human milk provides essential substrates for the optimal growth and development of a breastfed infant. Besides providing nutrients to the infant, human milk also contains metabolites which form an intricate system between maternal lifestyle, such as the mother’s diet and the gut microbiome, and infant outcomes. This study investigates the variation of these human milk metabolites from five different countries. Human milk samples (n = 109) were collected one month postpartum from Australia, Japan, the USA, Norway, and South Africa and were analyzed by nuclear magnetic resonance. The partial least squares discriminant analysis (PLS-DA) showed separation between either maternal countries of origin or ethnicities. Variation between countries in concentration of metabolites, such as 2-oxoglutarate, creatine, and glutamine, in human milk, between countries, could provide insights into problems, such as mastitis and/or impaired functions of the mammary glands. Several important markers of milk production, such as lactose, betaine, creatine, glutamate, and glutamine, showed good correlation between each metabolite. This work highlights the importance of milk metabolites with respect to maternal lifestyle and the environment, and also provides the framework for future breastfeeding and microbiome studies in a global context.

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Altered breast milk components in preeclampsia; An in-vitro proton NMR spectroscopy study

Cited by 32 publications

References 45 publications

Applications of metabolomics in the study and management of preeclampsia: a review of the literature

Applications of metabolomics in the study and management of preeclampsia: a review of the literature

Maternal obesity and the human milk metabolome: associations with infant body composition and postnatal weight gain

Worldwide Variation in Human Milk Metabolome: Indicators of Breast Physiology and Maternal Lifestyle?

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