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The ability of metabolomics to provide a snapshot of an individual's metabolic state makes it a very useful technique in neonatology for investigating the complex relationship between nutrition and the state of health of the newborn. Through an 1 H-NMR metabolomics analysis, we aimed to investigate the metabolic profile of newborns by analyzing both urine and milk samples in relation to the birth weight of neonates classified as AGA (adequate for the gestational age, n = 51), IUGR (intrauterine growth restriction, n = 14), and LGA (large for gestational age, n = 15). Samples were collected at 7 ± 2 days after delivery. Of these infants, 42 were exclusively breastfed, while 38 received mixed feeding with a variable amount of commercial infant formula (less than 40%) in addition to breast milk. We observed a urinary spectral pattern for oligosaccharides very close to that of the corresponding mother's milk in the case of exclusively breastfed infants, thus mirroring the maternal phenotype. The absence of this good match between the infant urine and human milk spectra in the case of mixed-fed infants could be reasonably ascribed to the use of a variable amount of commercial infant formulas (under 40%) added to breast milk. Furthermore, our findings did not evidence any significant differences in the spectral profiles in terms of the neonatal customize centile, i.e., AGA (adequate for gestational age), LGA (large for gestational age), or IGUR (intrauterine growth restriction). It is reasonable to assume that maternal human milk oligosaccharide (HMO) production is not or is only minimally influenced by the fetal growth conditions for unknown reasons. This hypothesis may be supported by our metabolomics-based results, confirming once again the importance of this approach in the neonatal field.

Bicuspid aortic valve (BAV) is the most common congenital heart defect responsible for valvular and aortic complications in affected patients. Causes and mechanisms of this pathology are still elusive and thus the lack of early detection biomarkers leads to challenges in its diagnosis and prevention of associated cardiovascular anomalies. The aim of this study was to explore the potential use of urine Nuclear Magnetic Resonance (NMR) metabolomics to evaluate a molecular fingerprint of BAV. Both multivariate and univariate statistical analyses were performed to compare the urinary metabolome of 20 patients with BAV with that of 24 matched controls. Orthogonal partial least squared discriminant analysis (OPLS-DA) showed statistically significant discrimination between cases and controls, suggesting seven metabolites (3-hydroxybutyrate, alanine, betaine, creatine, glycine, hippurate, and taurine) as potential biomarkers. Among these, glycine, hippurate and taurine individually displayed medium sensitivity and specificity by receiver operating characteristic (ROC) analysis. Pathway analysis indicated two metabolic pathways likely perturbed in BAV subjects. Possible contributions of gut microbiota activity and energy imbalance are also discussed. These results constitute encouraging preliminary findings in favor of the use of urine-based metabolomics for early diagnosis of BAV.

Objective: To investigate changes in the urine metabolome of very low birth weight preterm newborns with necrotizing enterocolitis (NEC) and feed intolerance, we conducted a longitudinal study over the first 2 months of life. The metabolome of NEC newborns was compared with two control groups that did not develop NEC: the first one included preterm babies with feed intolerance, while the second one preterm babies with good feed tolerance. Methods: Newborns developing NEC within the 3 weeks of life were identified as early onset NEC, while the remaining as late onset NEC. Case-control matching was done according to the gestational age (±1 week), birth weight (± 200 g), and postnatal age. A total of 96 urine samples were collected and analyzed. In newborns with NEC, samples were collected before, during and after the diagnosis over the first 2 months of life, while in controls samples were collected as close as possible to the postnatal age of newborns with NEC. Proton nuclear magnetic resonance ( 1 H NMR) spectroscopy was used for metabolomic analysis. Data were analyzed by univariate and multivariate statistical analysis. Results: In all the preterm newborns, urine levels of betaine, glycine, succinate, and citrate positively correlated with postnatal age. Suberate and lactate correlated with postnatal age in preterms with NEC and in controls with food intolerance, while N,N -dimethylglycine ( N,N -DMG) correlated only in controls with good digestive tolerance. Preterm controls with feed intolerance showed a progressive significant decrease of N -methylnicotinamide and carnitine. Lactate, betaine, myo-inositol, urea, creatinine, and N,N -dimethylglycine discriminated late-onset NEC from controls with good feed tolerance. Conclusion: Our findings are discussed in terms of contributions from nutritional and clinical managements of patients and gut microbiota., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Picaud, De Magistris, Mussap, Corbu, Dessì, Noto, Fanos and Cesare Marincola.)

Background: Sportomics is the application of metabolomics to study the metabolism shifts of individuals that practice sports or do physical exercise. This aim was reached by the analysis of low molecular weight metabolites (<1.5 kDa) present in biological fluids such as blood, saliva or urine., Methods: In this study, authors performed a 1 H-NMR analysis of urine from 21 professional soccer players collected at 3 different time points during the preseason preparation period before the beginning of Serie A Championship (first division) in Italy., Results: Urine profile changed during the observational period. In particular, significant variations were observed for trimethylamine-N-oxide, dimethylamine, hippuric acid, hypoxanthine, guanidoacetic acid, 3-hydroxybutyric acid, citric acid and creatine. These modifications could be related to the diet, training and microbiota. For instance, trimethylamine-N-oxide and hippuric acid are both of dietary origins but are also related to the microbiota, while 3-hydroxy-butyric acid is associated with the type of physical exercise., Conclusions: This is the first sportomics study ever performed on professional soccer players, according to authors' knowledge. In the future, sportomics could be applied in a tailored way to choose the best diet and training program in the single individual to obtain the best possible performances and to prevent injuries of athletes.

Fortification of human milk (HM) for preterm and very low-birth weight (VLBW) infants is a standard practice in most neonatal intensive care units. The optimal fortification strategy and the most suitable protein source for achieving better tolerance and growth rates for fortified infants are still being investigated. In a previous clinical trial, preterm and VLBW infants receiving supplementation of HM with experimental donkey milk-based fortifiers (D-HMF) showed decreased signs of feeding intolerance, including feeding interruptions, bilious gastric residuals and vomiting, with respect to infants receiving bovine milk-based fortifiers (B-HMF). In the present ancillary study, the urinary metabolome of infants fed B-HMF ( n = 27) and D-HMF ( n = 27) for 21 days was analyzed by 1 H NMR spectroscopy at the beginning (T0) and at the end (T1) of the observation period. Results showed that most temporal changes in the metabolic responses were common in the two groups, providing indications of postnatal adaptation. The significantly higher excretion of galactose in D-HMF and of carnitine, choline, lysine and leucine in B-HMF at T1 were likely due to different formulations. In conclusion, isocaloric and isoproteic HM fortification may result in different metabolic patterns, as a consequence of the different quality of the nutrients provided by the fortifiers.

Breast milk is the gold standard of nutrition for newborns. Its composition is tailored to the nutritional needs of the infant and varies between mothers. In recent years, several bioactive molecules have been discovered in addition to the main nutrients, such as multipotent stem cells, hormones, immunoglobulins, and bacteria. Furthermore, the human milk oligosaccharides (HMOs) seem to exert several important protective biological functions. According to the HMOs' composition, breast milk can be classified as a secretory or non-secretory phenotype. In our study, we investigated the metabolome of milk collected from 58 mothers that delivered neonates at term, that were appropriate, small or large for gestational age, by performing nuclear magnetic resonance spectroscopy (¹H-NMR). From the data analysis, two groups were distinguished based on their different types of oligosaccharides, and classified according the mother phenotype: secretory and non-secretory. This information is of major importance given the different biological function of the different HMOs, such as immune-modulation and protection against disease. This would allow us to predict whether the neonate would be, for instance, more prone to developing certain diseases, and to tailor her or his nutrition to fit their needs perfectly and pave the way to a personalized nutrition.

NMR-based metabolomics was used to compare the metabolic urinary profiles of exclusively breast-fed term infants (n = 11) with those of a double-blinded controlled trial with 49 formula-fed term newborns randomized to receive either an infant formula enriched by functional ingredients (n = 24) or a standard formula (n = 25). Anthropometric measurements and urine samples were taken at enrollment (within the first month of life), at around 60 days of life, and at the end of study period (average age of 130 days). The metabolic profiles were examined in relation to time and diet strategy. A common age-dependent modification of the urine metabolome was observed for the three types of nutrition, mainly characterized by similar temporal trends of choline, betaine, myoinositol, taurine, and citrate. Contrariwise, differences in the metabolic profiles were identified according to the type of diet (human versus formula milk), while no significant difference was observed between the two formulas. These modifications are discussed mainly in terms of the different milk compositions. Despite the low number of enrolled infants (n = 60), these findings pointed out the potential of the metabolomics approach for neonatal nutritional science, in particular to provide important contributions to the optimization of formula milk.

Metabolomics is a research field concerned with the analysis of metabolome, the complete set of metabolites in a given cell, tissue, or biological sample. Being able to provide a molecular snapshot of biological systems, metabolomics has emerged as a functional methodology in a wide range of research areas such as toxicology, pharmacology, food technology, nutrition, microbial biotechnology, systems biology, and plant biotechnology. In this review, we emphasize the applications of metabolomics in investigating the human breast milk (HBM) metabolome. HBM is the recommended source of nutrition for infants since it contains the optimal balance of nutrients for developing babies, and it provides a range of benefits for growth, immunity, and development. The molecular mechanisms beyond the inter- and intra-variability of HBM that make its composition unique are yet to be well-characterized. Although still in its infancy, the study of HBM metabolome has already proven itself to be of great value in providing insights into this biochemical variability in relation to mother phenotype, diet, disease, and lifestyle. The results of these investigations lay the foundation for further developments useful to identify normal and aberrant biochemical changes as well as to develop strategies to promote healthy infant feeding practices., (Copyright © 2015 Elsevier B.V. All rights reserved.)

Under conditions of non-optimal supply of nutrients, maternal diet during gestation can alter the balance between anabolic and catabolic pathways of fetus and triggers an effect of programming to the metabolic syndrome. Metabolomics is an analytical technique that has been recently attracting increasing interest for the identification of biomarkers of dietary exposure. In this study, a NMR-based metabolomic approach was employed for an explorative analysis of the time-related urinary metabolic profiles of three groups of newborns receiving a different fetal nutrition: adequate for gestational age (AGA), with intrauterine growth retardation (IUGR), and large for gestational age (LGA). Urine samples were collected over the first week of life. Application of Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) evidenced similar time-related modifications in the metabolic profiles of the three classes of infants, consisting mainly of changes in levels of taurine, creatinine, betaine, and glycine. Furthermore, alterations in the content of citrate and myo-inositol were found to be characteristic of IUGR and LGA, whole levels were higher with respect to controls, while higher contents of betaine and succinate were noted in AGA. Our results positively support the application of the metabolomic approach in the study of the metabolic pathways associated to fetal malnutrition., (Copyright © 2015 Elsevier B.V. All rights reserved.)

(1)H-NMR spectroscopy coupled with multivariate statistical analysis was used for the first time to compare the urinary NMR metabolic profiles of neonates with intrauterine growth retardation (IUGR) and large for gestational age (LGA). For the sake of comparison, infants who were adequate for gestational age (AGA) were also analyzed. Pattern recognition methods, including Principal Component Analyses (PCA), Partial Least Squares Discriminant Analysis (PLS-DA) and Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA), were used to analyze NMR data. Clear differences among the metabolic profiles of AGA, IUGR and LGA were observed. The main metabolites responsible for these differentiations were identified as myo-inositol, creatinine, creatine, citrate, urea and glycine. In particular, among these, myo-inositol may be a potential biomarker of an altered glucose metabolism during fetal development both in IUGR and LGA. This study highlights the applicability of NMR-based metabolomics for improving the understanding of the relations among nutrition, integrated metabolism and health in neonatology.