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Liang X, Diao E, Qian S, Song H, Xiang X, Gou X, Hu X. Comparative metabolomic analysis and antigenicity comparison of cow milk and enzymatically treated cow milk. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2024; 104:536-545. [PMID: 37621148 DOI: 10.1002/jsfa.12927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 08/09/2023] [Accepted: 08/25/2023] [Indexed: 08/26/2023]
Abstract
BACKGROUND Amino acids (AAs) are important protein building blocks that play a critical role in the function of the immune system. However, comprehensive comparative metabolomics and antigenicity analyses of cow milk (CM) and enzymatically treated CM are relatively scarce. This study analyzed the AAs in the CM and Flavourzyme-treated milk groups (FT), and their antigenicity was also explored. RESULTS Overall, 50 AAs were detected in the CM and FT groups, with 23 significantly different AAs. The interaction network of these significantly different AAs was analyzed, and 34 significantly different metabolic pathways were found to be involved. It was also found that the antigenicity of the FT group was significantly reduced in comparison with that of the CM group. CONCLUSION These results enhance our understanding of AAs and antigenicity regarding CM and FT, and provide new ideas and directions for the development of high-quality hypoallergenic dairy products. © 2023 Society of Chemical Industry.
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Affiliation(s)
- Xiaona Liang
- Jiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Huaiyin Normal University, Jiangsu Key Laboratory for Food Safety & Nutrition Function Evaluation, Huaiyin Normal University, Huaian, China
- School of Life Science, Huaiyin Normal University, Huaian, China
| | - Enjie Diao
- Jiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Huaiyin Normal University, Jiangsu Key Laboratory for Food Safety & Nutrition Function Evaluation, Huaiyin Normal University, Huaian, China
- School of Life Science, Huaiyin Normal University, Huaian, China
| | - Shiquan Qian
- Jiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Huaiyin Normal University, Jiangsu Key Laboratory for Food Safety & Nutrition Function Evaluation, Huaiyin Normal University, Huaian, China
- School of Life Science, Huaiyin Normal University, Huaian, China
| | - Huwei Song
- Jiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Huaiyin Normal University, Jiangsu Key Laboratory for Food Safety & Nutrition Function Evaluation, Huaiyin Normal University, Huaian, China
- School of Life Science, Huaiyin Normal University, Huaian, China
| | - Xinran Xiang
- Jiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Huaiyin Normal University, Jiangsu Key Laboratory for Food Safety & Nutrition Function Evaluation, Huaiyin Normal University, Huaian, China
- School of Life Science, Huaiyin Normal University, Huaian, China
| | - Xiurong Gou
- School of Life Science, Huaiyin Normal University, Huaian, China
| | - Xiumin Hu
- School of Life Science, Huaiyin Normal University, Huaian, China
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Dessì A, Bosco A, Cesare Marincola F, Pintus R, Paci G, Atzori L, Fanos V, Piras C. Sardinian Infants of Diabetic Mothers: A Metabolomics Observational Study. Int J Mol Sci 2023; 24:13724. [PMID: 37762025 PMCID: PMC10530546 DOI: 10.3390/ijms241813724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 08/29/2023] [Accepted: 08/31/2023] [Indexed: 09/29/2023] Open
Abstract
Gestational diabetes mellitus (GDM) is a condition characterized by glucose intolerance, with hyperglycemia of varying severity with onset during pregnancy. An uncontrolled GDM can lead to an increased risk of morbidity in the fetus and newborn, and an increased risk of obesity or developing type 2 diabetes, hypertension or neurocognitive developmental impairment in adulthood. In this study, we used nuclear magnetic resonance (NMR) spectroscopy and gas chromatography-mass spectrometry (GS-MS) to analyze the urinary metabolomic profile of newborns of diabetic mothers (NDMs) with the aim of identifying biomarkers useful for the monitoring of NDMs and for early diagnosis of predisposition to develop related chronic diseases. A total of 26 newborns were recruited: 21 children of diabetic mothers, comprising 13 in diet therapy (NDM-diet) and 8 in insulin therapy (NDM-insulin), and 5 control children of non-diabetic mothers (CTR). Urine samples were collected at five time points: at birth (T1), on the third day of life (T2), one week (T3), one month (T4) and six months postpartum (T5). At T1, variations were observed in the levels of seven potential biomarkers (acetate, lactate, glycylproline/proline, isocitrate, N,N-dimethylglycine, N-acetylglucosamine and N-carbamoyl-aspartate) in NMD-insulin infants compared to NDM-diet and CTR infants. In particular, the altered metabolites were found to be involved in several metabolic pathways such as citrate metabolism, glycine, serine and threonine metabolism, arginine and proline metabolism, amino sugar and nucleotide sugar metabolism, and pyruvate metabolism. In contrast, these changes were not visible at subsequent sampling times. The impact of early nutrition (maternal and formula milk) on the metabolomic profile was considered as a potential contributing factor to this finding.
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Affiliation(s)
- Angelica Dessì
- Department of Surgical Sciences, University of Cagliari and Neonatal Intensive Care Unit, AOU Cagliari, 09042 Cagliari, Italy; (A.B.); (R.P.); (V.F.)
| | - Alice Bosco
- Department of Surgical Sciences, University of Cagliari and Neonatal Intensive Care Unit, AOU Cagliari, 09042 Cagliari, Italy; (A.B.); (R.P.); (V.F.)
| | - Flaminia Cesare Marincola
- Department of Chemical and Geological Sciences, University of Cagliari, Cittadella Universitaria, SS 554, km 4.5, Monserrato, 09042 Cagliari, Italy;
| | - Roberta Pintus
- Department of Surgical Sciences, University of Cagliari and Neonatal Intensive Care Unit, AOU Cagliari, 09042 Cagliari, Italy; (A.B.); (R.P.); (V.F.)
| | - Giulia Paci
- Department of Biomedical Sciences, University of Cagliari, Cittadella Universitaria, SS 554, km 4.5, Monserrato, 09042 Cagliari, Italy; (G.P.); (L.A.); (C.P.)
| | - Luigi Atzori
- Department of Biomedical Sciences, University of Cagliari, Cittadella Universitaria, SS 554, km 4.5, Monserrato, 09042 Cagliari, Italy; (G.P.); (L.A.); (C.P.)
| | - Vassilios Fanos
- Department of Surgical Sciences, University of Cagliari and Neonatal Intensive Care Unit, AOU Cagliari, 09042 Cagliari, Italy; (A.B.); (R.P.); (V.F.)
| | - Cristina Piras
- Department of Biomedical Sciences, University of Cagliari, Cittadella Universitaria, SS 554, km 4.5, Monserrato, 09042 Cagliari, Italy; (G.P.); (L.A.); (C.P.)
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Sanclemente JL, Rivera-Velez SM, Horohov DW, Dasgupta N, Sanz MG. Plasma metabolome of healthy and Rhodococcus equi-infected foals over time. Equine Vet J 2023; 55:831-842. [PMID: 36273247 DOI: 10.1111/evj.13894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 09/25/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Foals that develop pulmonary ultrasonographic lesions on Rhodococcus equi (R. equi) endemic farms are treated with antibiotics because those at risk of developing clinical pneumonia (~20%) cannot be recognised early. Candidate biomarkers identified using metabolomics may aid targeted treatment strategies against R. equi. OBJECTIVES (1) To describe how foal ageing affects their plasma metabolome (birth to 8 weeks) and (2) to establish the effects that experimental infection with Rhodococcus equi (R. equi) has on foal metabolome. STUDY DESIGN Experimental study. METHODS Nine healthy newborn foals were experimentally infected with R. equi as described in a previous study. Foals were treated with oral antibiotics if they developed clinical pneumonia (n = 4, clinical group) or remained untreated if they showed no signs of disease (n = 5, subclinical group). A group of unchallenged foals (n = 4) was also included in the study. By the end of the study period (8 weeks), all foals were free of disease. This status was confirmed with transtracheal wash fluid evaluation and culture as well as thoracic ultrasonography. Plasma metabolomics was determined by GC-MS weekly for the study duration (8 weeks). RESULTS Foals' plasma metabolome was altered by ageing (birth to 8 weeks) and experimental infection with R. equi as demonstrated using multivariate statistical analysis. The intensities of 25 and 28 metabolites were altered by ageing and infection (p < 0.05) respectively. Furthermore, 20 metabolites changed by more than 2-fold between clinical and subclinical groups. MAIN LIMITATIONS The number of foals is limited. Foals were experimentally infected with R. equi. CONCLUSIONS Ageing and R. equi infection induced changes in the plasma metabolome of foals. These results provide an initial description of foal's plasma metabolome and serve as background for future identification of R. equi pneumonia biomarkers.
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Affiliation(s)
- Jorge L Sanclemente
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman, Washington, USA
| | - Sol M Rivera-Velez
- Molecular Determinants Core, Johns Hopkins All Children's Hospital, St Petersburg, Florida, USA
| | - David W Horohov
- Maxwell H. Gluck Equine Research Center, Department of Veterinary Clinical Sciences, University of Kentucky, Lexington, Kentucky, USA
| | - Nairanjana Dasgupta
- Department of Mathematics and Statistics, College of Arts and Sciences, Washington State University, Pullman, Washington, USA
| | - Macarena G Sanz
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman, Washington, USA
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Elucidating gut microbiota and metabolite patterns shaped by goat milk-based infant formula feeding in mice colonized by healthy infant feces. Food Chem 2023; 410:135413. [PMID: 36623461 DOI: 10.1016/j.foodchem.2023.135413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 12/15/2022] [Accepted: 01/04/2023] [Indexed: 01/07/2023]
Abstract
The gut microbiota plays an evolutionarily conserved role in host metabolism, which is influenced by diet. Here, we investigated differences in shaping the gut microbiota and regulating metabolism in cow milk-based infant formula, goat milk-based infant formula, and mix milk-based infant formula compared with pasteurized human milk. 16S rRNA results showed that goat milk-based infant formula selectively increased the relative abundance of Blautia, Roseburia, Alistites and Muribaculum in the gut compared to other infant formulas. Metabolomics identification indicated that goat milk-based infant formula mainly emphasized bile acid biosynthesis, arachidonic acid metabolism and steroid biosynthesis metabolic pathways. Metabolites associated with these metabolic pathways were positively associated with increased microorganisms in goat milk-based infant formula, particularly Alistipes. Furthermore, we found a deficiency of Akkermansia abundance in three infant formula-fed compared to pasteurizedhuman milk-fed. This study presents new insights into the improvement and application of goat milk-based infant formulas in terms of intestinal microecology.
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Chowdhury CR, Kavitake D, Jaiswal KK, Jaiswal KS, Reddy GB, Agarwal V, Shetty PH. NMR-based metabolomics as a significant tool for human nutritional research and health applications. FOOD BIOSCI 2023. [DOI: 10.1016/j.fbio.2023.102538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]
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Hill DR, Buck RH. Infants Fed Breastmilk or 2'-FL Supplemented Formula Have Similar Systemic Levels of Microbiota-Derived Secondary Bile Acids. Nutrients 2023; 15:nu15102339. [PMID: 37242222 DOI: 10.3390/nu15102339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 05/05/2023] [Accepted: 05/12/2023] [Indexed: 05/28/2023] Open
Abstract
Human milk represents an optimal source of nutrition during infancy. Milk also serves as a vehicle for the transfer of growth factors, commensal microbes, and prebiotic compounds to the immature gastrointestinal tract. These immunomodulatory and prebiotic functions of milk are increasingly appreciated as critical factors in the development of the infant gut and its associated microbial community. Advances in infant formula composition have sought to recapitulate some of the prebiotic and immunomodulatory functions of milk through human milk oligosaccharide (HMO) fortification, with the aim of promoting healthy development both within the gastrointestinal tract and systemically. Our objective was to investigate the effects of feeding formulas supplemented with the HMO 2'-fucosyllactose (2'-FL) on serum metabolite levels relative to breastfed infants. A prospective, randomized, double-blinded, controlled study of infant formulas (64.3 kcal/dL) fortified with varying levels of 2'-FL and galactooligosaccharides (GOS) was conducted [0.2 g/L 2'-FL + 2.2 g/L GOS; 1.0 g/L 2'-FL + 1.4 g/L GOS]. Healthy singleton infants age 0-5 days and with birth weight > 2490 g were enrolled (n = 201). Mothers chose to either exclusively formula-feed or breastfeed their infant from birth to 4 months of age. Blood samples were drawn from a subset of infants at 6 weeks of age (n = 35-40 per group). Plasma was evaluated by global metabolic profiling and compared to a breastfed reference group (HM) and a control formula (2.4 g/L GOS). Fortification of control infant formula with the HMO 2'-FL resulted in significant increases in serum metabolites derived from microbial activity in the gastrointestinal tract. Most notably, secondary bile acid production was broadly increased in a dose-dependent manner among infants receiving 2'-FL supplemented formula relative to the control formula. 2'-FL supplementation increased secondary bile acid production to levels associated with breastfeeding. Our data indicate that supplementation of infant formula with 2'-FL supports the production of secondary microbial metabolites at levels comparable to breastfed infants. Thus, dietary supplementation of HMO may have broad implications for the function of the gut microbiome in systemic metabolism. This trial was registered at with the U.S. National library of Medicine as NCT01808105.
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Affiliation(s)
- David R Hill
- Abbott, Nutrition Division, Columbus, OH 43219, USA
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Urine Metabolomic Profile of Breast- versus Formula-Fed Neonates Using a Synbiotic-Enriched Formula. Int J Mol Sci 2022; 23:ijms231810476. [PMID: 36142388 PMCID: PMC9499619 DOI: 10.3390/ijms231810476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 09/04/2022] [Accepted: 09/07/2022] [Indexed: 11/16/2022] Open
Abstract
The aim of this study was to compare the urine metabolic fingerprint of healthy neonates exclusively breastfed with that of neonates fed with a synbiotic-enriched formula (Rontamil® Complete 1) at four time points (the 3rd and 15th days of life and the 2nd and 3rd months). The determination of urine metabolic fingerprint was performed using NMR metabolomics. Multivariate data analyses were performed with SIMCA-P 15.0 software and R language. Non-distinct profiles for both groups (breastfeeding and synbiotic formula) for the two first time points (3rd and 15th days of life) were detected, whereas after the 2nd month of life, a discrimination trend was observed between the two groups, which was further confirmed at the 3rd month of life. A clear discrimination of the synbiotic formula samples was evident when comparing the metabolites taken in the first days of life (3rd day) with those taken in the 2nd and 3rd months of life. In both cases, OPLS-DA models explained more than 75% of the metabolic variance. Non-distinct metabolomic profiles were obtained between breastfed and synbiotic-formula-fed neonates up to the 15th day of life. Discrimination trends were observed only after the 2nd month of the study, which could be attributed to breastfeeding variations and the consequent dynamic profile of urine metabolites compared to the stable ingredients of the synbiotic formula.
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8
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Metabolomics-based comparative study of breast colostrum and mature breast milk. Food Chem 2022; 384:132491. [DOI: 10.1016/j.foodchem.2022.132491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 02/11/2022] [Accepted: 02/14/2022] [Indexed: 11/23/2022]
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Calvo Barbosa AM, Casallas Cortes S, Pulido N, Parra MY, Rodríguez-López A, Guevara-Morales J, Echeverri-Peña OY. Metabolic impact of infant formulas in young infants. An outlook from the urine metabolome. Heliyon 2022; 8:e10432. [PMID: 36119867 PMCID: PMC9475274 DOI: 10.1016/j.heliyon.2022.e10432] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Revised: 02/25/2022] [Accepted: 08/19/2022] [Indexed: 12/03/2022] Open
Abstract
Introduction Although breast milk is the ideal food source for newborns during the first six months of life, a high percentage of children receive infant formulas. There is evidence that specific diet habits may influence individual metabolic profile. Therefore, in newborns, such profile can be influenced by the use of infantile formulas given the composition differences that display compared to human milk. Up to now, there are no reports in the literature that address this issue. Objectives this work aims to compare the metabolic profile of full-term newborns that were feed with either breast milk (n = 32) or infantile formulas (n = 21). Methods: Metabolic profile was established based on urine analysis through gas chromatography-mass spectrometry (GC-MS) and nuclear magnetic resonance (H-NMR). Results our results evidenced a more gluconeogenic profile in breast-fed infants characterized by elevation of Kreb's cycle intermediaries like fumaric, succinic and ketoglutaric acids compared to infants receiving infant formula. In addition, infant formula fed infants presented urinary excretion of metabolites derived from specific compounds present in this type of diet that were not observed in breast-fed infants, for instance D-glucitol, and 4-deoxytetronic. Moreover, in infant formula fed infants there was excretion of basal levels of metabolites of clinical relevance like 3-hydroxy-3-methyl-glutaric, 2-methyl-3-keto-valeric and 3,4-dihydroxybutyric. Conclusion These results show the importance of understanding the metabolic impact of diet in newborn population in normal and pathological contexts.
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Affiliation(s)
- Angie Marcela Calvo Barbosa
- Instituto de Errores Innatos Del Metabolismo. Facultad de Ciencias. Pontificia Universidad Javeriana, Carrera 7 # 43-82. Ed. 54, Bogotá, Colombia
| | - Stefany Casallas Cortes
- Instituto de Errores Innatos Del Metabolismo. Facultad de Ciencias. Pontificia Universidad Javeriana, Carrera 7 # 43-82. Ed. 54, Bogotá, Colombia
| | - Ninna Pulido
- Instituto de Errores Innatos Del Metabolismo. Facultad de Ciencias. Pontificia Universidad Javeriana, Carrera 7 # 43-82. Ed. 54, Bogotá, Colombia
- Grupo de Ciencias de Laboratorio Clínico. Hospital Universitaria San Ignacio, Bogotá, Colombia
| | - Martha Yaneth Parra
- Instituto de Errores Innatos Del Metabolismo. Facultad de Ciencias. Pontificia Universidad Javeriana, Carrera 7 # 43-82. Ed. 54, Bogotá, Colombia
| | - Alexander Rodríguez-López
- Instituto de Errores Innatos Del Metabolismo. Facultad de Ciencias. Pontificia Universidad Javeriana, Carrera 7 # 43-82. Ed. 54, Bogotá, Colombia
- Fundación Instituto de Inmunología de Colombia (FIDIC), Bogotá, Colombia
- Departamento de Química. Facultad de Ciencias. Pontificia Universidad Javeriana, Carrera 7 # 43-82. Ed. 54, Bogotá, Colombia
| | - Johana Guevara-Morales
- Instituto de Errores Innatos Del Metabolismo. Facultad de Ciencias. Pontificia Universidad Javeriana, Carrera 7 # 43-82. Ed. 54, Bogotá, Colombia
- Corresponding author.
| | - Olga Yaneth Echeverri-Peña
- Instituto de Errores Innatos Del Metabolismo. Facultad de Ciencias. Pontificia Universidad Javeriana, Carrera 7 # 43-82. Ed. 54, Bogotá, Colombia
- Corresponding author.
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A Comparison of Mother’s Milk and the Neonatal Urine Metabolome: A Unique Fingerprinting for Different Nutritional Phenotypes. Metabolites 2022; 12:metabo12020113. [PMID: 35208187 PMCID: PMC8879468 DOI: 10.3390/metabo12020113] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 01/18/2022] [Accepted: 01/22/2022] [Indexed: 12/14/2022] Open
Abstract
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 1H-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.
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Konstantinou C, Gaengler S, Oikonomou S, Delplancke T, Charisiadis P, Makris KC. Use of metabolomics in refining the effect of an organic food intervention on biomarkers of exposure to pesticides and biomarkers of oxidative damage in primary school children in Cyprus: A cluster-randomized cross-over trial. ENVIRONMENT INTERNATIONAL 2022; 158:107008. [PMID: 34991267 DOI: 10.1016/j.envint.2021.107008] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 11/02/2021] [Accepted: 11/24/2021] [Indexed: 05/22/2023]
Abstract
BACKGROUND Exposure to pesticides has been associated with oxidative stress in animals and humans. Previously, we showed that an organic food intervention reduced pesticide exposure and oxidative damage (OD) biomarkers over time; however associated metabolic changes are not fully understood yet. OBJECTIVES We assessed perturbations of the urine metabolome in response to an organic food intervention for children and its association with pesticides biomarkers [3-phenoxybenzoic acid (3-PBA) and 6-chloronicotinic acid (6-CN)]. We also evaluated the molecular signatures of metabolites associated with biomarkers of OD (8-iso-PGF2a and 8-OHdG) and related biological pathways. METHODS We used data from the ORGANIKO LIFE + trial (NCT02998203), a cluster-randomized cross-over trial conducted among primary school children in Cyprus. Participants (n = 149) were asked to follow an organic food intervention for 40 days and their usual food habits for another 40 days, providing up to six first morning urine samples (>850 samples in total). Untargeted GC-MS metabolomics analysis was performed. Metabolites with RSD ≤ 20% and D-ratio ≤ 50% were retained for analysis. Associations were examined using mixed-effect regression models and corrected for false-discovery rate of 0.05. Pathway analysis followed. RESULTS Following strict quality checks, 156 features remained out of a total of 610. D-glucose was associated with the organic food intervention (β = -0.23, 95% CI: -0.37,-0.10), aminomalonic acid showed a time-dependent increase during the intervention period (βint = 0.012; 95% CI:0.002, 0.022) and was associated with the two OD biomarkers (β = -0.27, 95% CI:-0.34,-0.20 for 8-iso-PGF2a and β = 0.19, 95% CI:0.11,0.28 for 8-OHdG) and uric acid with 8-OHdG (β = 0.19, 95% CI:0.11,0.26). Metabolites were involved in pathways such as the starch and sucrose metabolism and pentose and glucuronate interconversions. DISCUSSION This is the first metabolomics study providing evidence of differential expression of metabolites by an organic food intervention, corroborating the reduction in biomarkers of OD. Further mechanistic evidence is warranted to better understand the biological plausibility of an organic food treatment on children's health outcomes.
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Affiliation(s)
- Corina Konstantinou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Cyprus
| | - Stephanie Gaengler
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Cyprus
| | - Stavros Oikonomou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Cyprus
| | - Thibaut Delplancke
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Cyprus
| | - Pantelis Charisiadis
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Cyprus
| | - Konstantinos C Makris
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Cyprus.
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Hatami F, Beamish E, Davies A, Rigby R, Dondelinger F. A hierarchical Bayesian approach for detecting global microbiome associations. Stat Appl Genet Mol Biol 2021; 20:85-100. [PMID: 34714989 PMCID: PMC9125803 DOI: 10.1515/sagmb-2021-0047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 09/22/2021] [Indexed: 11/15/2022]
Abstract
The human gut microbiome has been shown to be associated with a variety of human diseases, including cancer, metabolic conditions and inflammatory bowel disease. Current approaches for detecting microbiome associations are limited by relying on specific measures of ecological distance, or only allowing for the detection of associations with individual bacterial species, rather than the whole microbiome. In this work, we develop a novel hierarchical Bayesian model for detecting global microbiome associations. Our method is not dependent on a choice of distance measure, and is able to incorporate phylogenetic information about microbial species. We perform extensive simulation studies and show that our method allows for consistent estimation of global microbiome effects. Additionally, we investigate the performance of the model on two real-world microbiome studies: a study of microbiome-metabolome associations in inflammatory bowel disease, and a study of associations between diet and the gut microbiome in mice. We show that we can use the method to reliably detect associations in real-world datasets with varying numbers of samples and covariates.
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Affiliation(s)
- Farhad Hatami
- Centre for Health Informatics Computation and Statistics, Lancaster University, Lancaster, UK
| | - Emma Beamish
- Department of Musculoskeletal Biology, University of Liverpool, Liverpool, UK
| | | | - Rachael Rigby
- Department of Biomedicine and Life Sciences, Lancaster University, Lancaster, UK
| | - Frank Dondelinger
- Centre for Health Informatics Computation and Statistics, Lancaster University, Lancaster, UK
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Dessì A, Bosco A, Pintus R, Picari G, Mazza S, Fanos V. Epigenetics and Modulations of Early Flavor Experiences: Can Metabolomics Contribute to Prevention during Weaning? Nutrients 2021; 13:nu13103351. [PMID: 34684350 PMCID: PMC8539480 DOI: 10.3390/nu13103351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 09/16/2021] [Accepted: 09/20/2021] [Indexed: 11/29/2022] Open
Abstract
The significant increase in chronic non-communicable diseases has changed the global epidemiological landscape. Among these, obesity is the most relevant in the pediatric field. This has pushed the world of research towards a new paradigm: preventive and predictive medicine. Therefore, the window of extreme plasticity that characterizes the first stage of development cannot be underestimated. In this context, nutrition certainly plays a primary role, being one of the most important epigenetic modulators known to date. Weaning, therefore, has a crucial role that must be analyzed far beyond the simple achievement of nutritional needs. Furthermore, the taste experience and the family context are fundamental for future food choices and can no longer be underestimated. The use of metabolomics allows, through the recognition of early disease markers and food-specific metabolites, the planning of an individualized and precise diet. In addition, the possibility of identifying particular groups of subjects at risk and the careful monitoring of adherence to dietary therapy may represent the basis for this change.
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Hewelt-Belka W, Garwolińska D, Młynarczyk M, Kot-Wasik A. Comparative Lipidomic Study of Human Milk from Different Lactation Stages and Milk Formulas. Nutrients 2020; 12:E2165. [PMID: 32708300 PMCID: PMC7401268 DOI: 10.3390/nu12072165] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 07/09/2020] [Accepted: 07/10/2020] [Indexed: 02/07/2023] Open
Abstract
In this report, we present a detailed comparison of the lipid composition of human milk (HM) and formula milk (FM) targeting different lactation stages and infant age range. We studied HM samples collected from 26 Polish mothers from colostrum to 19 months of lactation, along with FM from seven brands available on the Polish market (infant formula, follow-on formula and growing-up formula). Lipid extracts were analysed using liquid chromatography coupled to high-resolution mass spectrometry (LC-Q-TOF-MS). We found that the lipid composition of FM deviates significantly from the HM lipid profile in terms of qualitative and quantitative differences. FM had contrasting lipid profiles mostly across brands and accordingly to the type of fat added but not specific to the target age range. The individual differences were dominant in HM; however, differences according to the lactation stage were also observed, especially between colostrum and HM collected in other lactation stages. Biologically and nutritionally important lipids, such as long-chain polyunsaturated fatty acids (LC-PUFAs) containing lipid species, sphingomyelines or ether analogues of glycerophosphoethanoloamines were detected in HM collected in all studied lactation stages. The observed differences concerned all the major HM lipid classes and highlight the importance of the detailed compositional studies of both HM and FM.
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Affiliation(s)
- Weronika Hewelt-Belka
- Department of Analytical Chemistry, Chemical Faculty, Gdańsk University of Technology, 80-233 Gdańsk, Poland; (D.G.); (M.M.); (A.K.-W.)
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Laurens MLL, Kraus-Friedberg C, Kar W, Sanfilippo D, Rajasekaran S, Comstock SS. Dietary Intake Influences Metabolites in Healthy Infants: A Scoping Review. Nutrients 2020; 12:nu12072073. [PMID: 32668684 PMCID: PMC7400847 DOI: 10.3390/nu12072073] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 07/07/2020] [Accepted: 07/09/2020] [Indexed: 12/11/2022] Open
Abstract
Metabolites are generated from exogenous sources such as diet. This scoping review will summarize nascent metabolite literature and discriminating metabolites for formula vs. human- milk-fed infants. Using the PICOS framework (P—Patient, Problem or Population; I—Intervention; C—Comparison; O—Outcome; S—Study Design) and PRISMA item-reporting protocols, infants less than 12 months old, full-term, and previously healthy were included. Protocol was registered with Open Science Framework (OSF). Publications from 1 January 2009–2019 were selected, for various biofluids, study designs, and techniques (such as high-performance liquid chromatography (HPLC)). From 711 articles, blinded screening of 214 articles using Abstrackr® software, resulted in 24 for final review. Strengthening the Reporting of Observational studies in Epidemiology (STROBE) guidelines were adopted, which included a 24-point checklist. Articles were stratified according to biofluid. Of articles reporting discriminating metabolites between formula- and human milk-fed infants, 62.5% (5/8) of plasma/serum/dried blood spot, 88% (7/8) of urine and 100% (6/6) of feces related articles reported such discriminating metabolites. Overall, no differences were found between analytical approach used (targeted (n = 9) vs. un-targeted (n = 10)). Current articles are limited by small sample sizes and differing methodological approaches. Of the metabolites reviewed herein, fecal metabolites provided the greatest distinction between diets, which may be indicative of usefulness for future diet metabolite-focused work.
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Affiliation(s)
- Mara L. Leimanis Laurens
- Pediatric Critical Care Unit, Helen DeVos Children’s Hospital, 100 Michigan Street NE, Grand Rapids, MI 49503, USA; (D.S.); (S.R.)
- Department of Pediatrics and Human Development, Michigan State University, Life Sciences Building, 1355 Bogue Street, East Lansing, MI 48824, USA
- Correspondence: ; Tel.: +1-616-267-0106
| | | | - Wreeti Kar
- Department of Food Science and Human Nutrition, Michigan State University, Room 139C Trout 469 Wilson Rd, East Lansing, MI 48824, USA; (W.K.); (S.S.C.)
| | - Dominic Sanfilippo
- Pediatric Critical Care Unit, Helen DeVos Children’s Hospital, 100 Michigan Street NE, Grand Rapids, MI 49503, USA; (D.S.); (S.R.)
- Department of Pediatrics and Human Development, Michigan State University, Life Sciences Building, 1355 Bogue Street, East Lansing, MI 48824, USA
| | - Surender Rajasekaran
- Pediatric Critical Care Unit, Helen DeVos Children’s Hospital, 100 Michigan Street NE, Grand Rapids, MI 49503, USA; (D.S.); (S.R.)
- Department of Pediatrics and Human Development, Michigan State University, Life Sciences Building, 1355 Bogue Street, East Lansing, MI 48824, USA
| | - Sarah S. Comstock
- Department of Food Science and Human Nutrition, Michigan State University, Room 139C Trout 469 Wilson Rd, East Lansing, MI 48824, USA; (W.K.); (S.S.C.)
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Phan M, Momin SR, Senn MK, Wood AC. Metabolomic Insights into the Effects of Breast Milk Versus Formula Milk Feeding in Infants. Curr Nutr Rep 2020; 8:295-306. [PMID: 31203566 DOI: 10.1007/s13668-019-00284-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PURPOSE OF REVIEW This review summarizes the latest scientific evidence for the presence of metabolomic differences between infants fed breast milk (I-BM) and infants fed formula milk (I-FM). RECENT FINDINGS Across the studies included in this review, a total of 261 metabolites were analyzed, of which 151 metabolites were reported as significantly associated with infant feeding modality (BM versus FM). However, taken as a whole, the relevant literature was notable both for methodological limitations, such as small sample sizes, and heterogeneity between the studies. This may be why many associations between infant metabolite profile and feeding modality have not replicated across studies. To our knowledge, this is the first review to integrate the available literature on metabolomic differences between I-BM versus I-FM. This narrative review synthesized the data across studies and identified those metabolites which show the most robust associations with infant feeding modality. Methodological limitations of the current studies are identified, followed by recommendations for how to address these in future studies.
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Affiliation(s)
- Mimi Phan
- USDA / ARS Children's Nutrition Research Center, Baylor College of Medicine, 1100 Bates Street, Houston, TX, 77030, USA
| | - Shabnam R Momin
- USDA / ARS Children's Nutrition Research Center, Baylor College of Medicine, 1100 Bates Street, Houston, TX, 77030, USA
| | - Mackenzie K Senn
- USDA / ARS Children's Nutrition Research Center, Baylor College of Medicine, 1100 Bates Street, Houston, TX, 77030, USA
| | - Alexis C Wood
- USDA / ARS Children's Nutrition Research Center, Baylor College of Medicine, 1100 Bates Street, Houston, TX, 77030, USA.
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Bardanzellu F, Puddu M, Fanos V. The Human Breast Milk Metabolome in Preeclampsia, Gestational Diabetes, and Intrauterine Growth Restriction: Implications for Child Growth and Development. J Pediatr 2020; 221S:S20-S28. [PMID: 32482230 DOI: 10.1016/j.jpeds.2020.01.049] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 01/16/2020] [Accepted: 01/21/2020] [Indexed: 02/07/2023]
Affiliation(s)
- Flaminia Bardanzellu
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU University of Cagliari, Italy.
| | - Melania Puddu
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU University of Cagliari, Italy
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU University of Cagliari, Italy
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Georgakopoulou I, Chasapi SA, Bariamis SE, Varvarigou A, Spraul M, Spyroulias GA. Metabolic changes in early neonatal life: NMR analysis of the neonatal metabolic profile to monitor postnatal metabolic adaptations. Metabolomics 2020; 16:58. [PMID: 32333120 DOI: 10.1007/s11306-020-01680-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 04/15/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND A major challenge from the moment a child is delivered is the adaptation to the extrauterine life, where rapid metabolic changes take place. The study of these changes during the first days of human life may assist in the understanding of the metabolic processes that occur at this critical period, which is likely to provide significant clinical insights. To date, metabolomics has become a powerful field, ideal for the monitoring of such dynamic variations, since it offers the possibility to identify alterations in metabolic profiles, even on daily basis. METHODS The study included 253 healthy newborns (GA 35 to 40 weeks) from the region of Western Greece. Urine samples were collected immediately after birth and at the third day of life. NMR-based metabolomics was used to compare the metabolic urinary profiles of newborns from the first and third day of their life, assessing the impact of six perinatal factors; delivery mode, prematurity, maternal smoking, gender, nutrition and neonatal jaundice. RESULTS Analysis of urine metabolic fingerprint from the first and third day of life, coupled with multivariate statistics, provides insights into the details of early life metabolic profile differentiation. Αt the third day of life metabolic adaptations are evident, as many differences were noted in urine of healthy neonates within the first 72 h postpartum. Trends in differentiation of metabolites levels between the two groups, late preterm and term newborns, have been also observed. CONCLUSIONS Newborn's urine metabolic profiles confirmed the rapid changes in their metabolism after birth. Further, ongoing research will enable us to develop one reference model of urinary metabolomics in healthy newborns during the period of adaptation to the extra-uterine life.
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Affiliation(s)
| | | | - Steve E Bariamis
- Department of Pharmacy, University of Patras, 26504, Patras, Greece
| | - Anastasia Varvarigou
- Department of Paediatrics, University of Patras Medical School, General University Hospital, Patras, Greece.
| | - Manfred Spraul
- Bruker BioSpin, Silberstreifen, 76287, Rheinstetten, Germany
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Abstract
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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Affiliation(s)
- Flaminia Bardanzellu
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU University of Cagliari, SS 554 km 4,500, 09042, Monserrato, CA, Italy.
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU University of Cagliari, SS 554 km 4,500, 09042, Monserrato, CA, Italy
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Li M, Li Q, Zheng Y, Shi X, Zhang J, Ma C, Guan B, Peng Y, Yang M, Yue X. New insights into the alterations of full spectrum amino acids in human colostrum and mature milk between different domains based on metabolomics. Eur Food Res Technol 2020. [DOI: 10.1007/s00217-020-03470-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Briana DD, Fotakis C, Kontogeorgou A, Gavrili S, Georgatzi S, Zoumpoulakis P, Malamitsi-Puchner A. Early Human-Milk Metabolome in Cases of Intrauterine Growth-Restricted and Macrosomic Infants. JPEN J Parenter Enteral Nutr 2020; 44:1510-1518. [PMID: 32026505 DOI: 10.1002/jpen.1783] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 11/07/2019] [Accepted: 12/17/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Abnormal fetal growth is associated with short-term and long-term metabolic dysregulation and susceptibility to obesity-related disorders. Maternal milk, the ideal source of infantile nutrition, protects from metabolic diseases in adulthood. By applying nuclear magnetic resonance (NMR) metabolomics, this study investigated the metabolic profile of early human milk/colostrum (EHM/C) at the extremes of fetal-growth conditions, which could affect its nutritional value. METHODS From 98 mothers delivering 60 appropriate-for-gestational-age (AGA), 19 large-for-gestational-age (LGA), and 19 intrauterine growth-restricted (IUGR) full-term neonates, milk samples collected on the third to fourth day post partum were examined by NMR spectroscopy. Multivariate data analysis elicited information from NMR spectra and probed to metabolic signatures of EHM/C. RESULTS LGA and IUGR EHM/C samples depicted increased content in lactose, citric acid, choline, phosphocholine, and N-acetylglutamine. AGA samples exhibited increased isoleucine and valine. Metabolic pathways involved were valine, leucine/isoleucine biosynthesis and degradation, glycerophospholipid metabolism, aminoacyl-transfer RNA biosynthesis, and citrate cycle. Orthogonal projections to latent structures discriminant analysis models were validated. CONCLUSION This holistic metabolomics study framed an increased content of certain essential nutrients in EHM/C samples following the birth of LGA and IUGR infants prone to short- and long-term metabolic disorders, thus stressing additional benefits of early breastfeeding. Assessing the metabolic profile of EHΜ/C enables evaluation of its nutrition value, adjusted to fetal growth, and introduction of appropriate dietary interventions.
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Affiliation(s)
- Despina D Briana
- Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Charalambos Fotakis
- Institute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, Athens, Greece
| | - Anna Kontogeorgou
- Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Stavroula Gavrili
- Neonatal Intensive Care Unit, "Alexandra" University and State Maternity Hospital, Athens, Greece
| | - Sophia Georgatzi
- Neonatal Intensive Care Unit, "Alexandra" University and State Maternity Hospital, Athens, Greece
| | - Panagiotis Zoumpoulakis
- Institute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, Athens, Greece
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Wang L, Liu D, Shen H, Wang Y, Han L, He Z. Analysis of Amino Acid Patterns With Nutrition Regimens in Preterm Infants With Extrauterine Growth Retardation. Front Pediatr 2020; 8:184. [PMID: 32426308 PMCID: PMC7212428 DOI: 10.3389/fped.2020.00184] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 03/30/2020] [Indexed: 12/12/2022] Open
Abstract
Background: Amino acid (AA) metabolic patterns have emerged as an analytical technique to characterize biomarkers compromising normal growth and elucidate underlying nutritional exposure. This study aimed to identify AA metabolites most likely associated with poor growth and examine the association between AA metabolites and nutrition regimens in preterm infants during transition from parenteral nutrition (PN) to enteral nutrition (EN), using gas chromatography-mass spectrometry (GC-MS). Methods: This observational cohort study was conducted in infants born at <32 weeks' gestation with birth weight of <1,500 g. The outcome of extrauterine growth retardation (EUGR) based on whether the weight was <10th percentile for post-menstrual age, was evaluated when full EN reached. Samples were collected at four sampling points according to nutritional status. AA profiles in dried sampling point spots (DBS) were quantified using GC-MS; and were compared simultaneously. The correlation of AA concentration with growth and nutritional parameters was examined using multivariate analysis. Results: We identified 40 eligible infants: 20 in the EUGR group and 20 in the non-EUGR group. AA deficiency progressively emerged during the transition. Lower concentrations of four AAs, including citrulline (Cit), were associated with increased risk of EUGR when adjusted for gestational age, birth weight z-score, age when trophic EN was started, as well as average energy and protein intakes in synchronous nutritional period. Moreover, a lower Cit concentration was positively correlated with the compromised protein and energy deficits in EN during early transition. Conclusion: A low Cit concentration during transition from PN to full EN should be noticed by the clinician to more closely examine nutrition practices to prevent EUGR.
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Affiliation(s)
- Li Wang
- Department of Neonatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Danyang Liu
- Department of Neonatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haiqing Shen
- Department of Neonatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Wang
- Department of Clinical Nutrition, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lianshu Han
- Department of Pediatric Endocrine and Metabolic Diseases Laboratory, Shanghai Institute for Pediatric Research, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhenjuan He
- Department of Neonatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Perinatal Research Laboratory, Shanghai Institute for Pediatric Research, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Tsafaras GP, Ntontsi P, Xanthou G. Advantages and Limitations of the Neonatal Immune System. Front Pediatr 2020; 8:5. [PMID: 32047730 PMCID: PMC6997472 DOI: 10.3389/fped.2020.00005] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Accepted: 01/07/2020] [Indexed: 12/30/2022] Open
Abstract
During early post-natal life, neonates must adjust to the transition from the sheltered intra-uterine environment to the microbe-laden external world, wherein they encounter a constellation of antigens and the colonization by the microbiome. At this vulnerable stage, neonatal immune responses are considered immature and present significant differences to those of adults. Pertinent to innate immunity, functional and quantitative deficiencies in antigen-presenting cells and phagocytes are often documented. Exposure to environmental antigens and microbial colonization is associated with epigenetic immune cell reprogramming and activation of effector and regulatory mechanisms that ensure age-depended immune system maturation and prevention of tissue damage. Moreover, neonatal innate immune memory has emerged as a critical mechanism providing protection against infectious agents. Still, in neonates, inexperience to antigenic exposure, along with enhancement of tissue-protective immunosuppressive mechanisms are often associated with severe immunopathological conditions, including sepsis and neurodevelopmental disorders. Despite significant advances in the field, adequate vaccination in newborns is still in its infancy due to elemental restrictions associated also with defective immune responses. In this review, we provide an overview of neonatal innate immune cells, highlighting phenotypic and functional disparities with their adult counterparts. We also discuss the effects of epigenetic modifications and microbial colonization on the regulation of neonatal immunity. A recent update on mechanisms underlying dysregulated neonatal innate immunity and linked infectious and neurodevelopmental diseases is provided. Understanding of the mechanisms that augment innate immune responsiveness in neonates may facilitate the development of improved vaccination protocols that can protect against pathogens and organ damage.
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Affiliation(s)
- George P Tsafaras
- Cellular Immunology Lab, Center for Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Polyxeni Ntontsi
- Second Respiratory Medicine Department, 'Attikon' University Hospital, National and Kapodistrian University of Athens, Medical School, Athens, Greece
| | - Georgina Xanthou
- Cellular Immunology Lab, Center for Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
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Bardanzellu F, Peila C, Fanos V, Coscia A. Clinical insights gained through metabolomic analysis of human breast milk. Expert Rev Proteomics 2019; 16:909-932. [PMID: 31825672 DOI: 10.1080/14789450.2019.1703679] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Introduction: Among the OMICS technologies, that have emerged in recent years, metabolomics has allowed relevant step forwards in clinical research. Several improvements in disease diagnosis and clinical management have been permitted, even in neonatology. Among potentially evaluable biofluids, breast milk (BM) results are highly interesting, representing a fluid of conjunction between mothers newborns, describing their interaction.Areas covered: in this review, updating a previous review article, we discuss research articles and reviews on BM metabolomics and found in MEDLINE using metabolomics, breast milk, neonatal nutrition, breastfeeding, human milk composition, and preterm neonates as keywords.Expert opinion: Our research group has a profound interest in metabolomics research. In 2012, we published the first metabolomic analysis on BM samples, reporting interesting data on its composition and relevant differences with formula milk (FM), useful to improve FM composition. As confirmed by successive studies, such technology can detect the specific BM composition and its dependence on several variables, including lactation stage, gestational age, maternal or environmental conditions. Moreover, since BM contaminants or drug levels can be detected, metabolomics also results useful to determine BM safety. These are only a few practical applications of BM analysis, which will be reviewed in this paper.
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Affiliation(s)
- Flaminia Bardanzellu
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU University of Cagliari, Monserrato, Italy
| | - Chiara Peila
- Neonatology Unit, Department of Public Health and Pediatrics, Università degli Studi di Torino, Turin, Italy
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU University of Cagliari, Monserrato, Italy
| | - Alessandra Coscia
- Neonatology Unit, Department of Public Health and Pediatrics, Università degli Studi di Torino, Turin, Italy
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Metabolomics methods to analyze full spectrum of amino acids in different domains of bovine colostrum and mature milk. Eur Food Res Technol 2019. [DOI: 10.1007/s00217-019-03385-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Odintsova VV, Hagenbeek FA, Suderman M, Caramaschi D, van Beijsterveldt CEM, Kallsen NA, Ehli EA, Davies GE, Sukhikh GT, Fanos V, Relton C, Bartels M, Boomsma DI, van Dongen J. DNA Methylation Signatures of Breastfeeding in Buccal Cells Collected in Mid-Childhood. Nutrients 2019; 11:E2804. [PMID: 31744183 PMCID: PMC6893543 DOI: 10.3390/nu11112804] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 11/12/2019] [Accepted: 11/12/2019] [Indexed: 12/11/2022] Open
Abstract
Breastfeeding has long-term benefits for children that may be mediated via the epigenome. This pathway has been hypothesized, but the number of empirical studies in humans is small and mostly done by using peripheral blood as the DNA source. We performed an epigenome-wide association study (EWAS) in buccal cells collected around age nine (mean = 9.5) from 1006 twins recruited by the Netherlands Twin Register (NTR). An age-stratified analysis examined if effects attenuate with age (median split at 10 years; n<10 = 517, mean age = 7.9; n>10 = 489, mean age = 11.2). We performed replication analyses in two independent cohorts from the NTR (buccal cells) and the Avon Longitudinal Study of Parents and Children (ALSPAC) (peripheral blood), and we tested loci previously associated with breastfeeding in epigenetic studies. Genome-wide DNA methylation was assessed with the Illumina Infinium MethylationEPIC BeadChip (Illumina, San Diego, CA, USA) in the NTR and with the HumanMethylation450 Bead Chip in the ALSPAC. The duration of breastfeeding was dichotomized ('never' vs. 'ever'). In the total sample, no robustly associated epigenome-wide significant CpGs were identified (α = 6.34 × 10-8). In the sub-group of children younger than 10 years, four significant CpGs were associated with breastfeeding after adjusting for child and maternal characteristics. In children older than 10 years, methylation differences at these CpGs were smaller and non-significant. The findings did not replicate in the NTR sample (n = 98; mean age = 7.5 years), and no nearby sites were associated with breastfeeding in the ALSPAC study (n = 938; mean age = 7.4). Of the CpG sites previously reported in the literature, three were associated with breastfeeding in children younger than 10 years, thus showing that these CpGs are associated with breastfeeding in buccal and blood cells. Our study is the first to show that breastfeeding is associated with epigenetic variation in buccal cells in children. Further studies are needed to investigate if methylation differences at these loci are caused by breastfeeding or by other unmeasured confounders, as well as what mechanism drives changes in associations with age.
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Affiliation(s)
- Veronika V. Odintsova
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, The Netherlands (D.I.B.)
- Amsterdam Public Health Research Institute, 1081 BT Amsterdam, The Netherlands
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow 101000, Russia
| | - Fiona A. Hagenbeek
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, The Netherlands (D.I.B.)
- Amsterdam Public Health Research Institute, 1081 BT Amsterdam, The Netherlands
| | - Matthew Suderman
- MRC Integrative Epidemiology Unit, Bristol Medical School, Population Health Science, University of Bristol, Bristol BS8 1TH, UK
| | - Doretta Caramaschi
- MRC Integrative Epidemiology Unit, Bristol Medical School, Population Health Science, University of Bristol, Bristol BS8 1TH, UK
| | | | - Noah A. Kallsen
- Avera Institute for Human Genetics, Sioux Falls, SD 57101, USA
| | - Erik A. Ehli
- Avera Institute for Human Genetics, Sioux Falls, SD 57101, USA
| | | | - Gennady T. Sukhikh
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow 101000, Russia
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU and University of Cagliari, 09121 Cagliari, Italy
| | - Caroline Relton
- MRC Integrative Epidemiology Unit, Bristol Medical School, Population Health Science, University of Bristol, Bristol BS8 1TH, UK
| | - Meike Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, The Netherlands (D.I.B.)
- Amsterdam Public Health Research Institute, 1081 BT Amsterdam, The Netherlands
| | - Dorret I. Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, The Netherlands (D.I.B.)
- Amsterdam Public Health Research Institute, 1081 BT Amsterdam, The Netherlands
| | - Jenny van Dongen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, The Netherlands (D.I.B.)
- Amsterdam Public Health Research Institute, 1081 BT Amsterdam, The Netherlands
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Li M, Kang S, Zheng Y, Shao J, Zhao H, An Y, Cao G, Li Q, Yue X, Yang M. Comparative metabolomics analysis of donkey colostrum and mature milk using ultra-high-performance liquid tandem chromatography quadrupole time-of-flight mass spectrometry. J Dairy Sci 2019; 103:992-1001. [PMID: 31677837 DOI: 10.3168/jds.2019-17448] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Accepted: 09/13/2019] [Indexed: 02/04/2023]
Abstract
Donkey milk has been widely shown to be an ideal substitute for human milk because of its similar composition. However, alterations to the composition of donkey milk during lactation have not been well studied. In this study, untargeted metabolomics with ultra-high-performance liquid tandem chromatography quadrupole time-of-flight mass spectrometry were used to analyze and compare the metabolites in donkey colostrum (DC) and mature milk (DMM). Two hundred seventy metabolites were characterized in both DC and DMM. Fifty-two of the metabolites in the DC were significantly different from those in the DMM; 8 were downregulated and 44 were upregulated. This demonstrated that the composition of the donkey milk changed with lactation. Additionally, the interactions and metabolic pathways were further analyzed to explore the mechanisms that altered the milk during lactation. Our results provide comprehensive insights into the alterations in donkey milk during lactation. The results will aid in future investigations into the nutrition of donkey milk and provide practical information for the dairy industry.
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Affiliation(s)
- Mohan Li
- College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning Province, China 110866
| | - Shimo Kang
- College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning Province, China 110866
| | - Yan Zheng
- College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning Province, China 110866
| | - Junhua Shao
- College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning Province, China 110866
| | - Huiwen Zhao
- College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning Province, China 110866
| | - Yuejia An
- College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning Province, China 110866
| | - Ge Cao
- College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning Province, China 110866
| | - Qilong Li
- College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning Province, China 110866
| | - Xiqing Yue
- College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning Province, China 110866.
| | - Mei Yang
- College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning Province, China 110866.
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28
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Liu QT, Zhong XY. [Application of metabolomics in neonatal clinical practice]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2019; 21:942-948. [PMID: 31506158 PMCID: PMC7390243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 07/08/2019] [Indexed: 08/01/2024]
Abstract
Metabolomics is an emerging and popular subject in the post-genome era, and a large number of studies have been noted on the application of metabolomics in health evaluation, growth and development evaluation, disease diagnosis, and therapeutic efficacy evaluation. As a special period of life, the neonatal period is characterized by rapid cell renewing, consumption of a lot of energy and materials, and changes in metabolic pathways, all of which affect the level of metabolites. However, there is still no reference standard for metabolic level and profile in neonates. This article reviews the current status of metabolic research on neonatal growth and development and common diseases and related clinical application of metabolomics, so as to provide new ideas for nutrition guidance and evaluation, selection of therapeutic regimens, and new drug research in neonates.
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Affiliation(s)
- Qiu-Tong Liu
- Department of Neonatology, Chongqing Health Center for Children and Women, Chongqing 400000, China.
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29
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Liu QT, Zhong XY. [Application of metabolomics in neonatal clinical practice]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2019; 21:942-948. [PMID: 31506158 PMCID: PMC7390243 DOI: 10.7499/j.issn.1008-8830.2019.09.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 07/08/2019] [Indexed: 06/10/2023]
Abstract
Metabolomics is an emerging and popular subject in the post-genome era, and a large number of studies have been noted on the application of metabolomics in health evaluation, growth and development evaluation, disease diagnosis, and therapeutic efficacy evaluation. As a special period of life, the neonatal period is characterized by rapid cell renewing, consumption of a lot of energy and materials, and changes in metabolic pathways, all of which affect the level of metabolites. However, there is still no reference standard for metabolic level and profile in neonates. This article reviews the current status of metabolic research on neonatal growth and development and common diseases and related clinical application of metabolomics, so as to provide new ideas for nutrition guidance and evaluation, selection of therapeutic regimens, and new drug research in neonates.
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Affiliation(s)
- Qiu-Tong Liu
- Department of Neonatology, Chongqing Health Center for Children and Women, Chongqing 400000, China.
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30
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González-Peña D, Brennan L. Recent Advances in the Application of Metabolomics for Nutrition and Health. Annu Rev Food Sci Technol 2019; 10:479-519. [DOI: 10.1146/annurev-food-032818-121715] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Metabolomics is the study of small molecules called metabolites in biological samples. Application of metabolomics to nutrition research has expanded in recent years, with emerging literature supporting multiple applications. Key examples include applications of metabolomics in the identification and development of objective biomarkers of dietary intake, in developing personalized nutrition strategies, and in large-scale epidemiology studies to understand the link between diet and health. In this review, we provide an overview of the current applications and identify key challenges that need to be addressed for the further development of the field. Successful development of metabolomics for nutrition research has the potential to improve dietary assessment, help deliver personalized nutrition, and enhance our understanding of the link between diet and health.
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Affiliation(s)
- Diana González-Peña
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin 4, Ireland;,
| | - Lorraine Brennan
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin 4, Ireland;,
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31
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Mancuso L, Manis C, Murgia A, Isola M, Salis A, Piras F, Caboni P, Cao G. Effect of ZnO Nanoparticles on Human Bone Marrow Mesenchymal Stem Cells: Viability, Morphology, Particles Uptake, Cell Cycle and Metabolites. ACTA ACUST UNITED AC 2018. [DOI: 10.13005/bbra/2684] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Despite the growing interest in nanoparticles (NPs), the evaluation of their safety use has to be deeply considered, but standardized procedures for the evaluation of their toxicity have not been defined. In vitro methods are ideal in toxicology research because they can rapidly provide reproducible results while preventing the use of animals. Primary cells are considered a better option as model systems for predicting toxicological behavior, although several cell types do not survive enough in culture and isolated cells can have substantial variability when obtained from different donors. Recently, a new test for acute toxicity based on the use of human bone marrow mesenchymal stem cells (hBMMSCs) has been developed and successfully tested in our laboratory following the ICCVAM (Interagency Coordinating Committee on the Validation of Alternative Methods) guidelines [1]. Along these lines, the aim of this study is to evaluate the acute cytotoxicity of ZnO nanoparticles using the new toxicity test based on hBMMSCs, while comparing their behavior with respect to the toxicity of ZnO micrometer ones. For this reason, we assessed the citotoxicity by performing Neutral Red assay, the cellular uptake by transmission electron microscopy and the effects on hBMMSCs cycle by FACS analysis. Furthermore, we also analyzed by means of GC-MS the polar metabolite profile of hBMMSCs samples treated with ZnO micro- and nanoparticles. Our results show that despite the slight differences in terms of cytotoxicity, nano and microparticles show a very different behavior with respect to their effects on hBMMSCs cycle, metabolite profile and cellular uptake.
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Affiliation(s)
- Luisa Mancuso
- Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, Piazza d'Armi, Cagliari, Italy
| | - Cristina Manis
- Department of Life and Environmental Sciences, University of Cagliari, Via Ospedale, 72, Cagliari, Italy
| | - Antonio Murgia
- Department of Life and Environmental Sciences, University of Cagliari, Via Ospedale, 72, Cagliari, Italy
| | - Michela Isola
- Department of Biomedical Sciences, University Citadel of Monserrato - University of Cagliari, S.S. 554 - Bivio for Sestu, 09042-Monserrato-Cagliari- Italy
| | - Andrea Salis
- Department of Chemical and Geological Sciences, University Citadel of Monserrato - University of Cagliari -CSGI and CNBS, S.S. 554 - Bivio for Sestu, 09042-Monserrato-Cagliari- Italy
| | - Federica Piras
- P.O. Armando Businco. Servizio di diagnistica citofluorimetrica e trattamento delle cellule staminali. SC Ematologia e Centro Trapianti Midollo Osseo; Via Edward Jenner 09121 Cagliari
| | - Pierluigi Caboni
- Department of Life and Environmental Sciences, University of Cagliari, Via Ospedale, 72, Cagliari, Italy
| | - Giacomo Cao
- Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, Piazza d'Armi, Cagliari, Italy
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32
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Wang L, Han TL, Luo X, Li S, Young T, Chen C, Wen L, Xu P, Zheng Y, Saffery R, Baker PN, Tong C, Qi H. Metabolic Biomarkers of Monochorionic Twins Complicated With Selective Intrauterine Growth Restriction in Cord Plasma and Placental Tissue. Sci Rep 2018; 8:15914. [PMID: 30374111 PMCID: PMC6206027 DOI: 10.1038/s41598-018-33788-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 10/07/2018] [Indexed: 12/17/2022] Open
Abstract
The selective intrauterine growth restriction (sIUGR) of monochorionic diamniotic (MCDC) twins causes phenotypic growth discordance, which is correlated with metabolomic pertubations. A global, untargeted identification of the metabolic fingerprint may help elucidate the etiology of sIUGR. Umbilical cord blood and placentas collected from 15 pairs of sIUGR monochorionic twins, 24 pairs of uncomplicated twins, and 14 singletons diagnosed with intrauterine growth restriction (IUGR) were subjected to gas chromatography-mass spectrometry based metabolomic analyses. Supervised multivariate regression analysis and pathway analysis were performed to compare control twins with sIUGR twins. A generalized estimating equation (GEE) model was utilized to explore metabolic differences within sIUGR co-twins. Linear logistic regression was applied to screen metabolites that significantly differed in concentration between control twins and sIUGR twins or IUGR singletons. Umbilical cord blood demonstrated better global metabolomic separation of sIUGR and control twins compared to the placenta. Disrupted amino acid and fatty acid metabolism as well as high levels of exposure to environmental xenobiotics were associated with sIUGR. The metabolic abnormalities in MCDA twins suggested that in utero growth discordance is caused by intrauterine and extrauterine environmental factors, rather than genetics. Thus, this study provides new therapeutic targets and strategies for sIUGR management and prevention.
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Affiliation(s)
- Lianlian Wang
- Department of Obstetrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- International Collaborative Joint Laboratory of Reproduction and Development of Ministry of Education P.R.C, Chongqing Medical University, Chongqing, 400016, China
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- Department of Reproduction Health and Infertility, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Ting-Li Han
- Department of Obstetrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- International Collaborative Joint Laboratory of Reproduction and Development of Ministry of Education P.R.C, Chongqing Medical University, Chongqing, 400016, China
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- Liggins Institution, University of Auckland, Auckland, 1142, New Zealand
| | - Xiaofang Luo
- Department of Obstetrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- International Collaborative Joint Laboratory of Reproduction and Development of Ministry of Education P.R.C, Chongqing Medical University, Chongqing, 400016, China
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Siming Li
- Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, 1010, New Zealand
| | - Tim Young
- Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, 1010, New Zealand
| | - Chang Chen
- Department of Obstetrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- International Collaborative Joint Laboratory of Reproduction and Development of Ministry of Education P.R.C, Chongqing Medical University, Chongqing, 400016, China
- Institute of Life Sciences, Chongqing Medical University, Chongqing, 400016, China
| | - Li Wen
- Department of Obstetrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- International Collaborative Joint Laboratory of Reproduction and Development of Ministry of Education P.R.C, Chongqing Medical University, Chongqing, 400016, China
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Ping Xu
- Department of Obstetrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- International Collaborative Joint Laboratory of Reproduction and Development of Ministry of Education P.R.C, Chongqing Medical University, Chongqing, 400016, China
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yangxi Zheng
- Department of Obstetrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- International Collaborative Joint Laboratory of Reproduction and Development of Ministry of Education P.R.C, Chongqing Medical University, Chongqing, 400016, China
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Richard Saffery
- Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia
| | - Philip N Baker
- Department of Obstetrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- International Collaborative Joint Laboratory of Reproduction and Development of Ministry of Education P.R.C, Chongqing Medical University, Chongqing, 400016, China
- Liggins Institution, University of Auckland, Auckland, 1142, New Zealand
- College of Life Sciences, University of Leicester, Leicester, LE1 7RH, UK
| | - Chao Tong
- Department of Obstetrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
- International Collaborative Joint Laboratory of Reproduction and Development of Ministry of Education P.R.C, Chongqing Medical University, Chongqing, 400016, China.
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
| | - Hongbo Qi
- Department of Obstetrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
- International Collaborative Joint Laboratory of Reproduction and Development of Ministry of Education P.R.C, Chongqing Medical University, Chongqing, 400016, China.
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
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33
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Metabolic phenotyping of malnutrition during the first 1000 days of life. Eur J Nutr 2018; 58:909-930. [PMID: 29644395 PMCID: PMC6499750 DOI: 10.1007/s00394-018-1679-0] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Accepted: 03/26/2018] [Indexed: 02/07/2023]
Abstract
Nutritional restrictions during the first 1000 days of life can impair or delay the physical and cognitive development of the individual and have long-term consequences for their health. Metabolic phenotyping (metabolomics/metabonomics) simultaneously measures a diverse range of low molecular weight metabolites in a sample providing a comprehensive assessment of the individual's biochemical status. There are a growing number of studies applying such approaches to characterize the metabolic derangements induced by various forms of early-life malnutrition. This includes acute and chronic undernutrition and specific micronutrient deficiencies. Collectively, these studies highlight the diverse and dynamic metabolic disruptions resulting from various forms of nutritional deficiencies. Perturbations were observed in many pathways including those involved in energy, amino acid, and bile acid metabolism, the metabolic interactions between the gut microbiota and the host, and changes in metabolites associated with gut health. The information gleaned from such studies provides novel insights into the mechanisms linking malnutrition with developmental impairments and assists in the elucidation of candidate biomarkers to identify individuals at risk of developmental shortfalls. As the metabolic profile represents a snapshot of the biochemical status of an individual at a given time, there is great potential to use this information to tailor interventional strategies specifically to the metabolic needs of the individual.
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34
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Bardanzellu F, Fanos V, Strigini FAL, Artini PG, Peroni DG. Human Breast Milk: Exploring the Linking Ring Among Emerging Components. Front Pediatr 2018; 6:215. [PMID: 30131948 PMCID: PMC6091001 DOI: 10.3389/fped.2018.00215] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Accepted: 07/13/2018] [Indexed: 12/19/2022] Open
Abstract
Maternal breast milk (BM) is a complex and unique fluid that evolution adapted to satisfy neonatal needs; in addition to classical nutrients, it contains several bioactive components. BM characteristically shows inter-individual variability, modifying its composition during different phases of lactation. BM composition, determining important consequences on neonatal gut colonization, influences both short and long-term development. Maternal milk can also shape neonatal microbiota, through its glycobiome rich in Lactobacilli spp. and Bifidobacteria spp. Therefore, neonatal nourishment during the first months of life seems the most important determinant of individual's outcomes. Our manuscript aims to provide new evidence in the characterization of BM metabolome and microbiome, and its comparison to formula milk, allowing the evaluation of each nutrient's influence on neonatal metabolism. This result very interesting since potentially offers an innovative approach to investigate the complex relationship between BM components and infant's health, also providing the chance to intervene in a sartorial way on diet composition, according to the nutritional requests. Future research, integrating metabolomics, microbiomics and stem cells knowledge, could make significant steps forward in understanding BM extraordinary properties and functions.
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Affiliation(s)
- Flaminia Bardanzellu
- Neonatal Intensive Care Unit, Neonatal Pathology and Neonatal Section, Azienda Ospedaliera Universitaria di Cagliari, University of Cagliari, Cagliari, Italy
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Neonatal Pathology and Neonatal Section, Azienda Ospedaliera Universitaria di Cagliari, University of Cagliari, Cagliari, Italy
| | | | - Paolo G Artini
- Gynecology and Obstetrics, Università degli Studi di Pisa, Pisa, Italy
| | - Diego G Peroni
- Section of Pediatric, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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35
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Scalabre A, Jobard E, Demède D, Gaillard S, Pontoizeau C, Mouriquand P, Elena-Herrmann B, Mure PY. Evolution of Newborns' Urinary Metabolomic Profiles According to Age and Growth. J Proteome Res 2017; 16:3732-3740. [PMID: 28791867 DOI: 10.1021/acs.jproteome.7b00421] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Improving the management of neonatal diseases and prevention of chronic diseases in adulthood requires a better comprehension of the complex maturational processes associated with newborns' development. Urine-based metabolomic studies play a promising role in the fields of pediatrics and neonatology, relying on simple and noninvasive collection procedures while integrating a variety of factors such as genotype, nutritional state, lifestyle, and diseases. Here, we investigate the influence of age, weight, height, and gender on the urine metabolome during the first 4 months of life. Untargeted analysis of urine was carried out by 1H-Nuclear Magnetic Resonance (NMR) spectroscopy for 90 newborns under 4 months of age, and free of metabolic, nephrologic, or urologic diseases. Supervised multivariate statistical analysis of the metabolic profiles revealed metabolites significantly associated with age, weight, and height, respectively. The tremendous growth occurring during the neonatal period is associated with specific modifications of newborns' metabolism. Conversely, gender appears to have no impact on the urine metabolome during early infancy. These results allow a deeper understanding of newborns' metabolic maturation and underline potential confounding factors in newborns' metabolomics studies. We emphasize the need to systematically and precisely report children age, height, and weight that impact urine metabolic profiles of infants.
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Affiliation(s)
- Aurélien Scalabre
- Univ Lyon, CNRS, Université Claude Bernard Lyon 1 , ENS de Lyon, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France.,Service de chirurgie pédiatrique, CHU de Saint Etienne, Faculté de médecine Jacques Lisfranc, Univ Lyon, Université Jean Monnet , F-42023 Saint-Etienne, France
| | - Elodie Jobard
- Univ Lyon, CNRS, Université Claude Bernard Lyon 1 , ENS de Lyon, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France.,Univ Lyon , Centre Léon Bérard, Département d'oncologie médicale, 28 rue Laënnec, 69008 Lyon, France
| | - Delphine Demède
- Service de chirurgie pédiatrique, Hôpital Femme Mère Enfant, Hospices Civils de Lyon, Université Claude Bernard Lyon 1 , F-69677 Bron, France
| | - Ségolène Gaillard
- EPICIME-CIC 1407 de Lyon, Inserm, Service de Pharmacologie Clinique, CHU-Lyon , F-69677, Bron, France.,Université de Lyon, CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Evolutive, Université Lyon 1 , F-69622, Villeurbanne, France
| | - Clément Pontoizeau
- Univ Lyon, CNRS, Université Claude Bernard Lyon 1 , ENS de Lyon, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France
| | - Pierre Mouriquand
- Service de chirurgie pédiatrique, Hôpital Femme Mère Enfant, Hospices Civils de Lyon, Université Claude Bernard Lyon 1 , F-69677 Bron, France
| | - Bénédicte Elena-Herrmann
- Univ Lyon, CNRS, Université Claude Bernard Lyon 1 , ENS de Lyon, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France
| | - Pierre-Yves Mure
- Service de chirurgie pédiatrique, Hôpital Femme Mère Enfant, Hospices Civils de Lyon, Université Claude Bernard Lyon 1 , F-69677 Bron, France
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36
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Bardanzellu F, Fanos V, Reali A. "Omics" in Human Colostrum and Mature Milk: Looking to Old Data with New Eyes. Nutrients 2017; 9:E843. [PMID: 28783113 PMCID: PMC5579636 DOI: 10.3390/nu9080843] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2017] [Revised: 08/02/2017] [Accepted: 08/04/2017] [Indexed: 12/21/2022] Open
Abstract
Human Milk (HM) is the best source for newborn nutrition until at least six months; it exerts anti-inflammatory and anti-infective functions, promotes immune system formation and supports organ development. Breastfeeding could also protect from obesity, diabetes and cardiovascular disease. Furthermore, human colostrum (HC) presents a peculiar role in newborn support as a protective effect against allergic and chronic diseases, in addition to long-term metabolic benefits. In this review, we discuss the recent literature regarding "omics" technologies and growth factors (GF) in HC and the effects of pasteurization on its composition. Our aim was to provide new evidence in terms of transcriptomics, proteomics, metabolomics, and microbiomics, also in relation to maternal metabolic diseases and/or fetal anomalies and to underline the functions of GF. Since HC results are so precious, particularly for the vulnerable pre-terms category, we also discuss the importance of HM pasteurization to ensure donated HC even to neonates whose mothers are unable to provide. To the best of our knowledge, this is the first review analyzing in detail the molecular pattern, microbiota, bioactive factors, and dynamic profile of HC, finding clinical correlations of such mediators with their possible in vivo effects and with the consequent impact on neonatal outcomes.
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Affiliation(s)
- Flaminia Bardanzellu
- Neonatal Intensive Care Unit, Neonatal Pathology and Neonatal Section, AOU and University of Cagliari, 09124 Cagliari, Italy.
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Neonatal Pathology and Neonatal Section, AOU and University of Cagliari, 09124 Cagliari, Italy.
| | - Alessandra Reali
- Neonatal Intensive Care Unit, Neonatal Pathology and Neonatal Section, AOU and University of Cagliari, 09124 Cagliari, Italy.
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37
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Brignardello J, Holmes E, Garcia-Perez I. Metabolic Phenotyping of Diet and Dietary Intake. ADVANCES IN FOOD AND NUTRITION RESEARCH 2017; 81:231-270. [PMID: 28317606 DOI: 10.1016/bs.afnr.2016.12.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Nutrition provides the building blocks for growth, repair, and maintenance of the body and is key to maintaining health. Exposure to fast foods, mass production of dietary components, and wider importation of goods have challenged the balance between diet and health in recent decades, and both scientists and clinicians struggle to characterize the relationship between this changing dietary landscape and human metabolism with its consequent impact on health. Metabolic phenotyping of foods, using high-density data-generating technologies to profile the biochemical composition of foods, meals, and human samples (pre- and postfood intake), can be used to map the complex interaction between the diet and human metabolism and also to assess food quality and safety. Here, we outline some of the techniques currently used for metabolic phenotyping and describe key applications in the food sciences, ending with a broad outlook at some of the newer technologies in the field with a view to exploring their potential to address some of the critical challenges in nutritional science.
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Affiliation(s)
- J Brignardello
- Computational and Systems Medicine, Imperial College London, London, United Kingdom
| | - E Holmes
- Computational and Systems Medicine, Imperial College London, London, United Kingdom
| | - I Garcia-Perez
- Nutrition and Dietetic Research Group, Imperial College London, London, United Kingdom.
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Cesare Marincola F, Corbu S, Lussu M, Noto A, Dessì A, Longo S, Civardi E, Garofoli F, Grenci B, Mongini E, Budelli A, Grinzato A, Fasano F, Fanos V, Stronati M. Impact of Early Postnatal Nutrition on the NMR Urinary Metabolic Profile of Infant. J Proteome Res 2016; 15:3712-3723. [PMID: 27650928 DOI: 10.1021/acs.jproteome.6b00537] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
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.
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Affiliation(s)
- Flaminia Cesare Marincola
- Department of Chemical and Geological Sciences, Cittadella Universitaria, University of Cagliari , 09042 Cagliari, Italy
| | - Sara Corbu
- Department of Chemical and Geological Sciences, Cittadella Universitaria, University of Cagliari , 09042 Cagliari, Italy
| | - Milena Lussu
- Neonatal Intensive Care Unit, Puericulture Institute and Neonatal Section, Azienda Ospedaliera Universitaria, University of Cagliari , 09042 Cagliari, Italy
| | - Antonio Noto
- Neonatal Intensive Care Unit, Puericulture Institute and Neonatal Section, Azienda Ospedaliera Universitaria, University of Cagliari , 09042 Cagliari, Italy
| | - Angelica Dessì
- Neonatal Intensive Care Unit, Puericulture Institute and Neonatal Section, Azienda Ospedaliera Universitaria, University of Cagliari , 09042 Cagliari, Italy
| | - Stefania Longo
- Neonatal Unit and Neonatal Intensive Care Unit, Fondazione IRCCS Policlinico San Matteo , 27100 Pavia, Italy
| | - Elisa Civardi
- Neonatal Unit and Neonatal Intensive Care Unit, Fondazione IRCCS Policlinico San Matteo , 27100 Pavia, Italy
| | - Francesca Garofoli
- Neonatal Unit and Neonatal Intensive Care Unit, Fondazione IRCCS Policlinico San Matteo , 27100 Pavia, Italy
| | - Beatrice Grenci
- Neonatal Unit and Neonatal Intensive Care Unit, Fondazione IRCCS Policlinico San Matteo , 27100 Pavia, Italy
| | - Elisa Mongini
- Neonatal Unit and Neonatal Intensive Care Unit, Fondazione IRCCS Policlinico San Matteo , 27100 Pavia, Italy
| | - Andrea Budelli
- Research & Development, H. J. Heinz B.V. , 6534 AD Nijmegen, The Netherlands
| | - Alessia Grinzato
- Research & Development, Heinz Italia S.p.A. , 04100 Latina, Italy
| | - Francesca Fasano
- Research & Development, Heinz Italia S.p.A. , 04100 Latina, Italy
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Puericulture Institute and Neonatal Section, Azienda Ospedaliera Universitaria, University of Cagliari , 09042 Cagliari, Italy
| | - Mauro Stronati
- Neonatal Unit and Neonatal Intensive Care Unit, Fondazione IRCCS Policlinico San Matteo , 27100 Pavia, Italy.,Neonatal Immunology Laboratory, Neonatal Unit and Neonatal Intensive Care Unit, Fondazione IRCCS Policlinico San Matteo 27100 Pavia, Italy
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Murgia A, Mancuso L, Manis C, Caboni P, Cao G. GC-MS metabolomics analysis of mesenchymal stem cells treated with copper oxide nanoparticles. Toxicol Mech Methods 2016; 26:611-619. [DOI: 10.1080/15376516.2016.1220654] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Scano P, Murgia A, Demuru M, Consonni R, Caboni P. Metabolite profiles of formula milk compared to breast milk. Food Res Int 2016; 87:76-82. [PMID: 29606251 DOI: 10.1016/j.foodres.2016.06.024] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2016] [Revised: 06/28/2016] [Accepted: 06/28/2016] [Indexed: 12/20/2022]
Abstract
Breast milk (BM) feeding is the gold standard in neonate nutrition. When BM is not available it can be substituted or integrated with commercial formula milk (FM) usually sold under different brands and formulations. In this work, the low-molecular-weight hydrophilic compounds in milk were studied by gas chromatography electronic impact mass spectrometry (GC-MS), comparing eight different FM brands with BM samples. With the aid of multivariate statistical data analysis, a marked variability among FM brands, especially driven by the presence of prebiotics in their formulation, was highlighted. Quali-quantitative differences were found between FM and BM. Orotic acid and isomaltulose were found exclusively in FM, while phenylalanine and tyrosine levels were high in two FM brands. Moreover, higher levels of malic acid, sugars (glucose, fructose and galactose), and mannitol were detected in FM. On the other hand, BM showed a higher amino acid content. In conclusion, GC-MS proved to be a very sensitive analytical technique for the study of FM, highlighting metabolite differences among FM brands, and between FM and BM, that may have a possible strong impact on neonatal nutrition.
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Affiliation(s)
- Paola Scano
- Department of Chemical and Geological Sciences, University of Cagliari, SS 554 km 4.5, 09042 Monserrato, Cagliari, Italy; Insitute for Macromolecular Studies, CNR-ISMAC, Via Corti 12, 20133 Milano, Italy.
| | - Antonio Murgia
- Department of Life and Environmental Sciences, University of Cagliari, Via Ospedale 72, 09124 Cagliari, Italy
| | - Martina Demuru
- Department of Life and Environmental Sciences, University of Cagliari, Via Ospedale 72, 09124 Cagliari, Italy
| | - Roberto Consonni
- Insitute for Macromolecular Studies, CNR-ISMAC, Via Corti 12, 20133 Milano, Italy
| | - Pierluigi Caboni
- Department of Life and Environmental Sciences, University of Cagliari, Via Ospedale 72, 09124 Cagliari, Italy
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