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Ward VC, Hawken S, Chakraborty P, Darmstadt GL, Wilson K. Estimating Gestational Age and Prediction of Preterm Birth Using Metabolomics Biomarkers. Clin Perinatol 2024; 51:411-424. [PMID: 38705649 DOI: 10.1016/j.clp.2024.02.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
Preterm birth (PTB) is a leading cause of morbidity and mortality in children aged under 5 years globally, especially in low-resource settings. It remains a challenge in many low-income and middle-income countries to accurately measure the true burden of PTB due to limited availability of accurate measures of gestational age (GA), first trimester ultrasound dating being the gold standard. Metabolomics biomarkers are a promising area of research that could provide tools for both early identification of high-risk pregnancies and for the estimation of GA and preterm status of newborns postnatally.
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Affiliation(s)
- Victoria C Ward
- Department of Pediatrics, Stanford University School of Medicine, 291 Campus Drive Li Ka Shing Building, Stanford, CA 94305, USA
| | - Steven Hawken
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Centre for Practice Changing Research, 501 Smyth Road, Box 201-B, Ottawa, Ontario, Canada K1H 8L6; School of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, Ontario, Canada K1G 5Z3.
| | - Pranesh Chakraborty
- Newborn Screening Ontario, Children's Hospital of Eastern Ontario, 415 Smyth Road, Ottawa, Ontario K1H 8M8, Canada; Department of Pediatrics, University of Ottawa, Roger Guindon Hall, 451 Smyth Rd, Ottawa Ontario, Canada K1H 8M5
| | - Gary L Darmstadt
- Prematurity Research Center, Department of Pediatrics, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA 94304, USA
| | - Kumanan Wilson
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Centre for Practice Changing Research, 501 Smyth Road, Box 201-B, Ottawa, Ontario, Canada K1H 8L6; Department of Medicine, University of Ottawa, Roger Guindon Hall, 451 Smyth Road, Ottawa, Ontario, Canada K1H 8M5; Bruyère Research Institute, 85 Primrose Avenue, Ottawa, Ontario, Canada K2A2E5
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2
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Ulloa Sabogal IM, Domínguez Nariño CC, Díaz LJR. Educational intervention for the maintenance of exclusive breastfeeding in adolescent mothers: A feasibility study. Int J Nurs Knowl 2023; 34:297-306. [PMID: 36269054 DOI: 10.1111/2047-3095.12404] [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: 09/01/2022] [Accepted: 10/02/2022] [Indexed: 11/28/2022]
Abstract
PURPOSE The purpose of this study was to evaluate the feasibility of implementing the nursing intervention Breastfeeding Counseling (5244) in first-time adolescent mothers and its effect on the knowledge and maintenance of exclusive breastfeeding in the first 6 months of life. METHODS Randomized, controlled feasibility study with 166 first-time mothers between 14 and 19 years of age, from 20 to 30 weeks of gestation, assigned to an experimental group (nursing intervention: breastfeeding counseling) or a control group (usual education plus nursing intervention not related to breastfeeding). The rate of abandonment of exclusive breastfeeding and the level of knowledge about breastfeeding were evaluated. FINDINGS The inclusion was 91.7% (166/181), dropout during the intervention was 39.75% (n = 66), and loss in the follow-up was 8.43% (n = 14). Compliance with the intervention protocol was 100%. The pregnant women and family members were satisfied with the intervention and perceived the health benefits for the mothers and their children. Outcome measures in the experimental group did not reveal a significant effect on breastfeeding abandonment rates at 2, 4, and 6 months postpartum, but they did manage to improve and maintain the level of knowledge about breastfeeding. CONCLUSIONS It was found that it is feasible to implement the nursing intervention: "Breastfeeding counseling" in prenatal classes, achieving an increase in the level of knowledge about breastfeeding in adolescent mothers, but without a reduction in the rate of abandonment of breastfeeding. Nursing professionals need to know and address barriers to exclusive breastfeeding in adolescents. IMPLICATIONS FOR NURSING PRACTICE The nursing intervention "Breastfeeding counseling (5244)" and the outcome "Knowledge: Breastfeeding (1800)" supported the processes of education and knowledge assessment on breastfeeding in pregnant adolescents, which should be instituted in perinatal nursing care.
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3
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Durham SD, Wei Z, Lemay DG, Lange MC, Barile D. Creation of a milk oligosaccharide database, MilkOligoDB, reveals common structural motifs and extensive diversity across mammals. Sci Rep 2023; 13:10345. [PMID: 37365203 DOI: 10.1038/s41598-023-36866-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 06/13/2023] [Indexed: 06/28/2023] Open
Abstract
The carbohydrate fraction of most mammalian milks contains a variety of oligosaccharides that encompass a range of structures and monosaccharide compositions. Human milk oligosaccharides have received considerable attention due to their biological roles in neonatal gut microbiota, immunomodulation, and brain development. However, a major challenge in understanding the biology of milk oligosaccharides across other mammals is that reports span more than 5 decades of publications with varying data reporting methods. In the present study, publications on milk oligosaccharide profiles were identified and harmonized into a standardized format to create a comprehensive, machine-readable database of milk oligosaccharides across mammalian species. The resulting database, MilkOligoDB, includes 3193 entries for 783 unique oligosaccharide structures from the milk of 77 different species harvested from 113 publications. Cross-species and cross-publication comparisons of milk oligosaccharide profiles reveal common structural motifs within mammalian orders. Of the species studied, only chimpanzees, bonobos, and Asian elephants share the specific combination of fucosylation, sialylation, and core structures that are characteristic of human milk oligosaccharides. However, agriculturally important species do produce diverse oligosaccharides that may be valuable for human supplementation. Overall, MilkOligoDB facilitates cross-species and cross-publication comparisons of milk oligosaccharide profiles and the generation of new data-driven hypotheses for future research.
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Affiliation(s)
- Sierra D Durham
- Department of Food Science and Technology, University of California, Davis, One Shields Ave., Davis, CA, 95616, USA
| | - Zhe Wei
- Department of Food Science and Technology, University of California, Davis, One Shields Ave., Davis, CA, 95616, USA
| | - Danielle G Lemay
- Agricultural Research Service, U.S. Department of Agriculture, Western Human Nutrition Research Center, 430 West Health Sciences Dr., Davis, CA, 95616, USA
| | - Matthew C Lange
- International Center for Food Ontology Operability Data and Semantics, 216 F Street Ste. 139, Davis, CA, 95616, USA
| | - Daniela Barile
- Department of Food Science and Technology, University of California, Davis, One Shields Ave., Davis, CA, 95616, USA.
- Foods for Health Institute, University of California, Davis, One Shields Ave., Davis, CA, 95616, USA.
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4
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Baumgartel K, Stevens M, Vijayakumar N, Saint Fleur A, Prescott S, Groer M. The Human Milk Metabolome: A Scoping Literature Review. J Hum Lact 2023; 39:255-277. [PMID: 36924445 DOI: 10.1177/08903344231156449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
BACKGROUND Human milk is a complex source of nutrition and other bioactives that protects infants from disease, holding a lifetime of beneficial effects. The field of metabolomics provides a robust platform through which we can better understand human milk at a level rarely examined. RESEARCH AIM To Identify, describe, synthesize, and critically analyze the literature within the past 5 years related to the human milk metabolome. METHODS We conducted a scoping literature review and quality analysis of the recent science reflecting untargeted metabolomic approaches to examining human milk. We searched six databases using the terms "breast milk," "metabolome," "metabolite," and "human milk," Out of more than 1,069 abstracts, we screened and identified 22 articles that met our inclusion criteria. RESULTS We extracted data related to the study author, geographic location, research design, analyses, platform used, and results. We also extracted data related to human milk research activities, including collection protocol, infant/maternal considerations, and time. Selected studies focused on a variety of phenotypes, including maternal and infant disease. Investigators used varying approaches to evaluate the metabolome, and differing milk collection protocols were observed. CONCLUSION The human milk metabolome is informed by many factors-which may contribute to infant health outcomes-that have resulted in disparate milk metabolomic profiles. Standardized milk collection and storage procedures should be implemented to minimize degradation. Investigators may use our findings to develop research questions that test a targeted metabolomic approach.
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Affiliation(s)
| | - Monica Stevens
- College of Medicine, University of South Florida, Tampa, FL, USA
| | - Nisha Vijayakumar
- School of Public Health, University of South Florida, Tampa, FL, USA
| | | | | | - Maureen Groer
- College of Nursing, University of Tennessee, Knoxville, TN, USA
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5
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Osthoff G, Wiese I, Deacon F. African Elephant Milk Short Saccharide and Metabolite Composition and Their Changes over Lactation. Animals (Basel) 2023; 13:ani13030544. [PMID: 36766431 PMCID: PMC9913514 DOI: 10.3390/ani13030544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 01/28/2023] [Accepted: 01/31/2023] [Indexed: 02/09/2023] Open
Abstract
Elephant milk composition is unique, as are its changes over lactation. Presented here is the milk non-dedicated metabolite composition of three African elephants. Their lactation times are overlapping and span day one to thirty months. Metabolites were identified and quantified by 1H nuclear magnetic resonance spectroscopy. Lactose and short oligosaccharides are a large component of the metabolites, with lacto-N-difucohexaose I as the major oligosaccharide. These were followed by metabolites of lipids, amino acids, and the citric acid cycle. The content of lactose, lacto-N-difucohexaose I, 2'-fucosyllactose, and some unidentified oligosaccharides decrease over lactation, while that of difucosyllactose and other unidentified ones increase. The high content of glutamate, as a glucogenic amino acid, supported the uprated synthesis of saccharides by the milk gland cells. The content of succinate and choline increase over lactation, indicating higher energy expenditure and phospholipid synthesis during later lactation.
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Affiliation(s)
- Gernot Osthoff
- Department of Microbiology and Biochemistry, University of the Free State, Bloemfontein 9301, South Africa
- Correspondence: ; Fax: +27-5140-12216
| | - Irenie Wiese
- Department of Animal, Wildlife and Grassland Sciences, University of the Free State, Bloemfontein 9301, South Africa
| | - Francois Deacon
- Department of Animal, Wildlife and Grassland Sciences, University of the Free State, Bloemfontein 9301, South Africa
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6
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Pintus R, Dessì A, Mussap M, Fanos V. Metabolomics can provide new insights into perinatal nutrition. Acta Paediatr 2023; 112:233-241. [PMID: 34487568 PMCID: PMC10078676 DOI: 10.1111/apa.16096] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 09/01/2021] [Accepted: 09/03/2021] [Indexed: 01/13/2023]
Abstract
Perinatal nutrition is a key factor related to the Developmental Origin of Health and Disease hypothesis, which states that each and every event that happens during the periconceptional period and pregnancy can affect the health status of an individual. Metabolomics can be a very useful tool for gathering information about the effect of perinatal nutrition on both mothers and newborn infants. This non-systematic review focuses on the main metabolites detected by this technique, with regard to gestational diabetes, intrauterine growth restriction and breast milk. Conclusion. Nutrition, metabolome and microbiome interactions are gaining interest in the scientific community.
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Affiliation(s)
- Roberta Pintus
- Neonatal Intensive Care Unit, AOU Cagliari Department of Surgery, University of Cagliari, Cagliari, Italy
| | - Angelica Dessì
- Neonatal Intensive Care Unit, AOU Cagliari Department of Surgery, University of Cagliari, Cagliari, Italy
| | - Michele Mussap
- Neonatal Intensive Care Unit, AOU Cagliari Department of Surgery, University of Cagliari, Cagliari, Italy
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, AOU Cagliari Department of Surgery, University of Cagliari, Cagliari, Italy
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7
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Gut Microbiota Functional Traits, Blood pH, and Anti-GAD Antibodies Concur in the Clinical Characterization of T1D at Onset. Int J Mol Sci 2022; 23:ijms231810256. [PMID: 36142163 PMCID: PMC9499637 DOI: 10.3390/ijms231810256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 08/31/2022] [Accepted: 09/01/2022] [Indexed: 11/16/2022] Open
Abstract
Alterations of gut microbiota have been identified before clinical manifestation of type 1 diabetes (T1D). To identify the associations amongst gut microbiome profile, metabolism and disease markers, the 16S rRNA-based microbiota profiling and 1H-NMR metabolomic analysis were performed on stool samples of 52 T1D patients at onset, 17 T1D siblings and 57 healthy subjects (CTRL). Univariate, multivariate analyses and classification models were applied to clinical and -omic integrated datasets. In T1D patients and their siblings, Clostridiales and Dorea were increased and Dialister and Akkermansia were decreased compared to CTRL, while in T1D, Lachnospiraceae were higher and Collinsella was lower, compared to siblings and CTRL. Higher levels of isobutyrate, malonate, Clostridium, Enterobacteriaceae, Clostridiales, Bacteroidales, were associated to T1D compared to CTRL. Patients with higher anti-GAD levels showed low abundances of Roseburia, Faecalibacterium and Alistipes and those with normal blood pH and low serum HbA1c levels showed high levels of purine and pyrimidine intermediates. We detected specific gut microbiota profiles linked to both T1D at the onset and to diabetes familiarity. The presence of specific microbial and metabolic profiles in gut linked to anti-GAD levels and to blood acidosis can be considered as predictive biomarker associated progression and severity of T1D.
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8
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Poulsen KO, Meng F, Lanfranchi E, Young JF, Stanton C, Ryan CA, Kelly AL, Sundekilde UK. Dynamic Changes in the Human Milk Metabolome Over 25 Weeks of Lactation. Front Nutr 2022; 9:917659. [PMID: 35911093 PMCID: PMC9331903 DOI: 10.3389/fnut.2022.917659] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 06/13/2022] [Indexed: 12/11/2022] Open
Abstract
Human milk (HM) provides essential nutrition for ensuring optimal infant growth and development postpartum. Metabolomics offers insight into the dynamic composition of HM. Studies have reported the impact of lactation stage, maternal genotype, and gestational age on HM metabolome. However, the majority of the studies have considered changes within the first month of lactation or sampled with large intervals. This leaves a gap in the knowledge of progressing variation in HM composition beyond the first month of lactation. The objective of this study was to investigate whether the HM metabolome from mothers with term deliveries varies beyond 1 month of lactation, during the period in which HM is considered fully mature. Human milk samples (n = 101) from 59 mothers were collected at weeks 1–2, 3–5, 7–9, and 20–25 postpartum and analyzed using 1H nuclear magnetic resonance spectroscopy. Several metabolites varied over lactation and exhibited dynamic changes between multiple time points. Higher levels of HM oligosaccharides, cis-aconitate, O-phosphocholine, O-acetylcarnitine, gluconate, and citric acid were observed in early lactation, whereas later in lactation, levels of lactose, 3-fucosyllactose, glutamine, glutamate, and short- and medium-chain fatty acids were increased. Notably, we demonstrate that the HM metabolome is dynamic during the period of maturity.
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Affiliation(s)
- Katrine Overgaard Poulsen
- Department of Food Science, Aarhus University, Aarhus, Denmark
- Sino-Danish Center for Education and Research, Aarhus, Denmark
- *Correspondence: Katrine Overgaard Poulsen,
| | - Fanyu Meng
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Elisa Lanfranchi
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
- ACIB – Austrian Centre of Industrial Biotechnology, Graz, Austria
| | | | | | - C. Anthony Ryan
- Brookfield School of Medicine and Health, University College Cork, Cork, Ireland
| | - Alan L. Kelly
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
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9
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Yu H, Huan T. Comprehensive assessment of the diminished statistical power caused by nonlinear electrospray ionization responses in mass spectrometry-based metabolomics. Anal Chim Acta 2022; 1200:339614. [DOI: 10.1016/j.aca.2022.339614] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 01/14/2022] [Accepted: 02/14/2022] [Indexed: 11/17/2022]
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10
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Dekker PM, Boeren S, van Goudoever JB, Vervoort JJM, Hettinga KA. Exploring Human Milk Dynamics: Interindividual Variation in Milk Proteome, Peptidome, and Metabolome. J Proteome Res 2022; 21:1002-1016. [PMID: 35104145 PMCID: PMC8981310 DOI: 10.1021/acs.jproteome.1c00879] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
![]()
Human milk is a dynamic
biofluid, and its detailed composition
receives increasing attention. While most studies focus on changes
over time or differences between maternal characteristics, interindividual
variation receives little attention. Nevertheless, a comprehensive
insight into this can help interpret human milk studies and help human
milk banks provide targeted milk for recipients. This study aimed
to map interindividual variation in the human milk proteome, peptidome,
and metabolome and to investigate possible explanations for this variation.
A set of 286 milk samples was collected from 29 mothers in the third
month postpartum. Samples were pooled per mother, and proteins, peptides,
and metabolites were analyzed. A substantial coefficient of variation
(>100%) was observed for 4.6% and 36.2% of the proteins and peptides,
respectively. In addition, using weighted correlation network analysis
(WGCNA), 5 protein and 11 peptide clusters were obtained, showing
distinct characteristics. With this, several associations were found
between the different data sets and with specific sample characteristics.
This study provides insight into the dynamics of human milk protein,
peptide, and metabolite composition. In addition, it will support
future studies that evaluate the effect size of a parameter of interest
by enabling a comparison with natural variability.
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Affiliation(s)
- Pieter M Dekker
- Food Quality and Design Group, Wageningen University & Research, Bornse Weilanden 9, 6708 WG Wageningen, The Netherlands.,Laboratory of Biochemistry, Wageningen University & Research, Stippeneng 4, 6708 WE Wageningen, The Netherlands
| | - Sjef Boeren
- Laboratory of Biochemistry, Wageningen University & Research, Stippeneng 4, 6708 WE Wageningen, The Netherlands
| | - Johannes B van Goudoever
- Department of Pediatrics, Amsterdam UMC Vrije Universiteit Emma Children's Hospital, 1081 Amsterdam, The Netherlands
| | - Jacques J M Vervoort
- Laboratory of Biochemistry, Wageningen University & Research, Stippeneng 4, 6708 WE Wageningen, The Netherlands
| | - Kasper A Hettinga
- Food Quality and Design Group, Wageningen University & Research, Bornse Weilanden 9, 6708 WG Wageningen, The Netherlands
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11
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Peila C, Sottemano S, Cesare Marincola F, Stocchero M, Pusceddu NG, Dessì A, Baraldi E, Fanos V, Bertino E. NMR Metabonomic Profile of Preterm Human Milk in the First Month of Lactation: From Extreme to Moderate Prematurity. Foods 2022; 11:foods11030345. [PMID: 35159496 PMCID: PMC8834565 DOI: 10.3390/foods11030345] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 01/20/2022] [Accepted: 01/21/2022] [Indexed: 02/06/2023] Open
Abstract
Understanding the composition of human milk (HM) can provide important insights into the links between infant nutrition, health, and development. In the present work, we have longitudinally investigated the metabolome of milk from 36 women delivering preterm at different gestational ages (GA): extremely (<28 weeks GA), very (29–31 weeks GA) or moderate (32–34 weeks GA) premature. Milk samples were collected at three lactation stages: colostrum (3–6 days post-partum), transitional milk (7–15 days post-partum) and mature milk (16–26 days post-partum). Multivariate and univariate statistical data analyses were performed on the 1H NMR metabolic profiles of specimens in relation to the degree of prematurity and lactation stage. We observed a high impact of both the mother’s phenotype and lactation time on HM metabolome composition. Furthermore, statistically significant differences, although weak, were observed in terms of GA when comparing extremely and moderately preterm milk. Overall, our study provides new insights into preterm HM metabolome composition that may help to optimize feeding of preterm newborns, and thus improve the postnatal growth and later health outcomes of these fragile patients.
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Affiliation(s)
- Chiara Peila
- Neonatal Unit, University of Turin, City of Health and Science of Turin, 10126 Turin, Italy; (C.P.); (S.S.); (E.B.)
| | - Stefano Sottemano
- Neonatal Unit, University of Turin, City of Health and Science of Turin, 10126 Turin, Italy; (C.P.); (S.S.); (E.B.)
| | - Flaminia Cesare Marincola
- Department of Chemical and Geological Sciences, Cittadella Universitaria di Monserrato, University of Cagliari, Monserrato, 09042 Cagliari, Italy;
- Correspondence: (F.C.M.); (M.S.)
| | - Matteo Stocchero
- Department of Women’s and Children’s Health, University of Padova, 35128 Padova, Italy;
- Institute of Pediatric Research (IRP), Fondazione Città della Speranza, 35128 Padova, Italy
- Correspondence: (F.C.M.); (M.S.)
| | - Nicoletta Grazia Pusceddu
- Department of Chemical and Geological Sciences, Cittadella Universitaria di Monserrato, University of Cagliari, Monserrato, 09042 Cagliari, Italy;
| | - Angelica Dessì
- Neonatal Intensive Care Unit, Neonatal Pathology and Neonatal Section, Azienda University Polyclinic, University of Cagliari, 09042 Cagliari, Italy; (A.D.); (V.F.)
| | - Eugenio Baraldi
- Department of Women’s and Children’s Health, University of Padova, 35128 Padova, Italy;
- Institute of Pediatric Research (IRP), Fondazione Città della Speranza, 35128 Padova, Italy
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Neonatal Pathology and Neonatal Section, Azienda University Polyclinic, University of Cagliari, 09042 Cagliari, Italy; (A.D.); (V.F.)
| | - Enrico Bertino
- Neonatal Unit, University of Turin, City of Health and Science of Turin, 10126 Turin, Italy; (C.P.); (S.S.); (E.B.)
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12
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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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13
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Conta G, Del Chierico F, Reddel S, Marini F, Sciubba F, Capuani G, Tomassini A, Di Cocco ME, Laforgia N, Baldassarre ME, Putignani L, Miccheli A. Longitudinal Multi-Omics Study of a Mother-Infant Dyad from Breastfeeding to Weaning: An Individualized Approach to Understand the Interactions Among Diet, Fecal Metabolome and Microbiota Composition. Front Mol Biosci 2021; 8:688440. [PMID: 34671642 PMCID: PMC8520934 DOI: 10.3389/fmolb.2021.688440] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 09/20/2021] [Indexed: 01/02/2023] Open
Abstract
The development of the human gut microbiota is characterized by a dynamic sequence of events from birth to adulthood, which make the gut microbiota unique for everyone. Its composition and metabolism may play a critical role in the intestinal homeostasis and health. We propose a study on a single mother-infant dyad to follow the dynamics of an infant fecal microbiota and metabolome changes in relation to breast milk composition during the lactation period and evaluate the changes induced by introduction of complementary food during the weaning period. Nuclear Magnetic Resonance (NMR)-based metabolomics was performed on breast milk and, together with 16S RNA targeted-metagenomics analysis, also on infant stool samples of a mother-infant dyad collected over a period running from the exclusive breastfeeding diet to weaning. Breast milk samples and neonatal stool samples were collected from the 4th to the 10th month of life. Both specimens were collected from day 103 to day 175, while from day 219-268 only stool samples were examined. An exploratory and a predictive analysis were carried out by means of Common component and specific weight analysis and multi-block partial least squares discriminant analysis, respectively. Stools collected during breastfeeding and during a mixed fruit/breastfeeding diet were characterized by high levels of fucosyl-oligosaccharides and glycolysis intermediates, including succinate and formate. The transition to a semi-solid food diet was characterized by several changes in fecal parameters: increase in short-chain fatty acids (SCFAs) levels, including acetate, propionate and butyrate, dissapearance of HMOs and the shift in the community composition, mainly occurring within the Firmicutes phylum. The variations in the fecal metabolome reflected the infant's diet transition, while the composition of the microbiota followed a more complex and still unstable behavior.
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Affiliation(s)
- Giorgia Conta
- Department of Chemistry, Sapienza University of Rome, Rome, Italy.,NMR-Based Metabolomics Laboratory of Sapienza (NMLab), Sapienza University of Rome, Rome, Italy
| | - Federica Del Chierico
- Multimodal Laboratory Medicine Research Area, Unit of Human Microbiome, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Sofia Reddel
- Multimodal Laboratory Medicine Research Area, Unit of Human Microbiome, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Federico Marini
- Department of Chemistry, Sapienza University of Rome, Rome, Italy.,NMR-Based Metabolomics Laboratory of Sapienza (NMLab), Sapienza University of Rome, Rome, Italy
| | - Fabio Sciubba
- Department of Chemistry, Sapienza University of Rome, Rome, Italy.,NMR-Based Metabolomics Laboratory of Sapienza (NMLab), Sapienza University of Rome, Rome, Italy
| | - Giorgio Capuani
- Department of Chemistry, Sapienza University of Rome, Rome, Italy.,NMR-Based Metabolomics Laboratory of Sapienza (NMLab), Sapienza University of Rome, Rome, Italy
| | | | | | - Nicola Laforgia
- Department of Biomedical Science and Human Oncology, University of Bari Aldo Moro, Bari, Italy
| | | | - Lorenza Putignani
- Department of Diagnostic and Laboratory Medicine, Unit of Microbiology and Diagnostic Immunology, Unit of Microbiomics and Multimodal Laboratory Medicine Research Area, Unit of Human Microbiome, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Alfredo Miccheli
- NMR-Based Metabolomics Laboratory of Sapienza (NMLab), Sapienza University of Rome, Rome, Italy.,Department of Environmental Biology, Sapienza University of Rome, Rome, Italy
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14
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Human Milk Oligosaccharides: A Comprehensive Review towards Metabolomics. CHILDREN-BASEL 2021; 8:children8090804. [PMID: 34572236 PMCID: PMC8465502 DOI: 10.3390/children8090804] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 09/06/2021] [Accepted: 09/10/2021] [Indexed: 12/11/2022]
Abstract
Human milk oligosaccharides (HMOs) are the third most represented component in breast milk. They serve not only as prebiotics but they exert a protective role against some significant neonatal pathologies such as necrotizing enterocolitis. Furthermore, they can program the immune system and consequently reduce allergies and autoimmune diseases’ incidence. HMOs also play a crucial role in brain development and in the gut barrier’s maturation. Moreover, the maternal genetic factors influencing different HMO patterns and their modulation by the interaction and the competition between active enzymes have been widely investigated in the literature, but there are few studies concerning the role of other factors such as maternal health, nutrition, and environmental influence. In this context, metabolomics, one of the newest “omics” sciences that provides a snapshot of the metabolites present in bio-fluids, such as breast milk, could be useful to investigate the HMO content in human milk. The authors performed a review, from 2012 to the beginning of 2021, concerning the application of metabolomics to investigate the HMOs, by using Pubmed, Researchgate and Scopus as source databases. Through this technology, it is possible to know in real-time whether a mother produces a specific oligosaccharide, keeping into consideration that there are other modifiable and unmodifiable factors that influence HMO production from a qualitative and a quantitative point of view. Although further studies are needed to provide clinical substantiation, in the future, thanks to metabolomics, this could be possible by using a dipstick and adding the eventual missing oligosaccharide to the breast milk or formula in order to give the best and the most personalized nutritional regimen for each newborn, adjusting to different necessities.
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15
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Bardanzellu F, Puddu M, Peroni DG, Fanos V. The clinical impact of maternal weight on offspring health: lights and shadows in breast milk metabolome. Expert Rev Proteomics 2021; 18:571-606. [PMID: 34107825 DOI: 10.1080/14789450.2021.1940143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
INTRODUCTION Pre-pregnancy overweight and obesity, depending on maternal nutrition and metabolic state, can influence fetal, neonatal and long-term offspring health, regarding cardio-metabolic, respiratory, immunological and cognitive outcomes. Thus, maternal weight can act, through mechanisms that are not full understood, on the physiology and metabolism of some fetal organs and tissues, to adapt themselves to the intrauterine environment and nutritional reserves. These effects could occur by modulating gene expression, neonatal microbiome, and through breastfeeding. AREAS COVERED In this paper, we investigated the potential effects of metabolites found altered in breast milk (BM) of overweight/obese mothers, through an extensive review of metabolomics studies, and the potential short- and long-term clinical effects in the offspring, especially regarding overweight, glucose homeostasis, insulin resistance, oxidative stress, infections, immune processes, and neurodevelopment. EXPERT OPINION Metabolomics seems the ideal tool to investigate BM variation depending on maternal or fetal/neonatal factors. In particular, BM metabolome alterations according to maternal conditions were recently pointed out in cases of gestational diabetes, preeclampsia, intrauterine growth restriction and maternal overweight/obesity. In our opinion, even if BM is the food of choice in neonatal nutrition, the deepest comprehension of its composition in overweight/obese mothers could allow targeted supplementation, to improve offspring health and metabolic homeostasis.
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Affiliation(s)
- Flaminia Bardanzellu
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU and University of Cagliari. SS 554 km 4,500, 09042 Monserrato. Italy
| | - Melania Puddu
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU and University of Cagliari. SS 554 km 4,500, 09042 Monserrato. Italy
| | - Diego Giampietro Peroni
- Clinical and Experimental Medicine Department, section of Pediatrics, University of Pisa, Italy. Via Roma, 55, 56126 Pisa PI, Italy
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU and University of Cagliari. SS 554 km 4,500, 09042 Monserrato. Italy
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16
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Zhang X, Yang Y, Su J, Zheng X, Wang C, Chen S, Liu J, Lv Y, Fan S, Zhao A, Chen T, Jia W, Wang X. Age-related compositional changes and correlations of gut microbiome, serum metabolome, and immune factor in rats. GeroScience 2021; 43:709-725. [PMID: 32418021 PMCID: PMC8110635 DOI: 10.1007/s11357-020-00188-y] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Accepted: 04/01/2020] [Indexed: 02/07/2023] Open
Abstract
Aging is a complex physiological process associated with degenerative disorder of metabolism and immune function, which contributes to the occurrence of senile diseases. The gut microbiota affects systemic inflammation in aging processes probably through metabolism, but their relationship is still unclear. In this study, 16S-rRNA-sequencing technology, gas chromatography-time-of-flight mass spectrometry (GC-TOFMS)-based metabolic profiling, and immune factor analysis combined with advanced differential and association analysis were employed to investigate the correlation between the microbiome, metabolome, and immune factors in male Wistar rats across lifespan. Our findings showed significant changes in the ileum microbiome and serum metabolome compositions across aging process. A two-level strategy was applied to demonstrate that key metabolites associated with age such as 4-hydroxyproline, proline, and lysine were clustered together and positively correlated with beneficial microbes including Bifidobacterium, Lactobacillus, and Akkermansia. Function analysis explored association between serum metabolite class and specific gut bacteria's metabolism pathways. Further correlation analysis on all the alteration patterns provided an interaction network of main immune factors such as IL-10, IgA, IgM, and IgG with key gut bacteria and serum metabolites. This study offers new insights into the relationship between immune factors, serum metabolome, and the gut microbiome.
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Affiliation(s)
- Xia Zhang
- Key Laboratory of Systems Biomedicine(Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Yuping Yang
- Key Laboratory of Systems Biomedicine(Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Juan Su
- College of Veterinary Medicine, Nanjing Agriculture University, Nanjing, 210095, China
| | - Xiaojiao Zheng
- Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - Chongchong Wang
- Key Laboratory of Systems Biomedicine(Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Shaoqiu Chen
- Key Laboratory of Systems Biomedicine(Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Jiajian Liu
- Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - Yingfang Lv
- Key Laboratory of Systems Biomedicine(Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Shihao Fan
- College of Veterinary Medicine, Nanjing Agriculture University, Nanjing, 210095, China
| | - Aihua Zhao
- Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - Tianlu Chen
- Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
| | - Wei Jia
- Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
| | - Xiaoyan Wang
- Key Laboratory of Systems Biomedicine(Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China.
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17
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Wu Y, Yu J, Liu X, Wang W, Chen Z, Qiao J, Liu X, Jin H, Li X, Wen L, Tian J, Saffery R, Kilby MD, Qi H, Tong C, Baker PN. Gestational diabetes mellitus-associated changes in the breast milk metabolome alters the neonatal growth trajectory. Clin Nutr 2021; 40:4043-4054. [PMID: 33640207 DOI: 10.1016/j.clnu.2021.02.014] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 01/22/2021] [Accepted: 02/08/2021] [Indexed: 02/02/2023]
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is the most common metabolic disturbance during pregnancy and leads to an altered metabolic profile of human breast milk (HBM). The association between HBM metabolites and neonatal growth in GDM pregnancies has not been thoroughly investigated. AIMS The primary aim was to quantify differences in the HBM metabolome between normal and GDM pregnancies. The secondary aim was to identify metabolites associated with neonatal growth during the first year postpartum. METHODS In the present study, mothers intending to exclusively breastfeed (BF) and their newborns (mother-infant pairs) were recruited at delivery (n = 129 normal pregnancies and n = 98 GDM pregnancies). HBM samples (colostrum, transition milk, and mature milk) from mothers with normal pregnancies (n = 50) and GDM pregnancies (n = 50) were subjected to metabolomic profiling via liquid chromatography tandem mass spectrometry (LC-MS/MS). Receiver operating characteristic (ROC) analysis revealed the metabolomic fingerprints of GDM-associated mature HBM. Correlations between metabolites and neonatal body weight gain (BWG) were evaluated by Spearman correlation analysis. RESULTS In total, 620 metabolites were identified in each HBM sample; 253 compounds had the same variation patterns, whereas 38 compounds had significantly different pattern transitions between the GDM and normal groups. Moreover, 12, 49 and 28 metabolites exhibited significant differences in the 3 milk types between the 2 groups. Twenty-two metabolites were confirmed by ROC analysis as metabolomic fingerprints in the mature BM of GDM patients. Ten compounds were significantly negatively correlated with neonatal growth, and only 2 unsaturated lipids (eicosatrienoic acid (FA 20:3) and lysophosphatidylcholine (LysoPC) (22:6)) were positively correlated with neonatal BWG. CONCLUSIONS GDM is associated with alterations in the HBM metabolome. Only a small subset of compounds are associated with neonatal body weight (BW). TRIAL REGISTRATION ChiCTR-ROC-17011508. Prospectively registered on 26 May 2017 (http://www.chictr.org.cn/listbycreater.aspx).
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Affiliation(s)
- Yue Wu
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China; International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing, 400016, China
| | - Jiaxiao Yu
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China; International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing, 400016, China
| | - Xiyao Liu
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China; International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing, 400016, China
| | - Wenling Wang
- Department of Obstetrics, Gansu Provincial Maternity and Child-Care Hospital, Lanzhou, Gansu, 730050, China
| | - Zhi Chen
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China; International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing, 400016, China
| | - Juan Qiao
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China; International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing, 400016, China
| | - Xiaohui Liu
- National Protein Science Technology Center, Tsinghua University, Beijing, 100084, China
| | - Huili Jin
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China; International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing, 400016, China
| | - Xin Li
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China; International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing, 400016, China
| | - Li Wen
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China; International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing, 400016, China
| | - Jing Tian
- Department of Obstetrics and Gynecology, University-Town Hospital of Chongqing Medical University, Chongqing, 401331, China
| | - Richard Saffery
- International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing, 400016, China; Cancer, Disease and Developmental Epigenetics, Murdoch Children's Research Institute, Parkville, Victoria, 3052, Australia
| | - Mark D Kilby
- College of Medical & Dental Sciences, University of Birmingham, B15 2TT, UK; Fetal Medicine Centre, Birmingham Women's & Children's Foundation Trust, Edgbaston, Birmingham, B15 2TG, UK
| | - Hongbo Qi
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China; International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing, 400016, China.
| | - Chao Tong
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China; International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing, 400016, China.
| | - Philip N Baker
- International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing, 400016, China; College of Life Sciences, University of Leicester, Leicester, LE1 7RH, UK
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18
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The Metabolomic Analysis of Human Milk Offers Unique Insights into Potential Child Health Benefits. Curr Nutr Rep 2021; 10:12-29. [PMID: 33555534 DOI: 10.1007/s13668-020-00345-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/20/2020] [Indexed: 10/22/2022]
Abstract
PURPOSE OF REVIEW Human milk is the gold standard of infant nutrition. The milk changes throughout lactation and is tailored for the infant providing the nutrients, minerals and vitamins necessary for supporting healthy infant growth. Human milk also contains low molecular weight compounds (metabolites) possibly eliciting important bioactivity. Metabolomics is the study of these metabolites. The purpose of this review was to examine recent metabolomics studies and cohort studies on human milk to assess the impact of human milk metabolomic analyses combined with investigations of infant growth and development. RECENT FINDINGS The metabolite profile of human milk varies among other factors according to lactation stage, gestation at birth, and maternal genes, diet and disease state. Few studies investigate how these variations impact infant growth and development. Several time-related factors affecting human milk metabolome are potentially ubiquitous among mothers, although maternal-related factors are heavily confounded, which complicates studies of metabolite abundancies and variabilities and further possibilities of observing cause and effect in infants.
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19
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Wang A, Koleva P, du Toit E, Geddes DT, Munblit D, Prescott SL, Eggesbø M, Johnson CC, Wegienka G, Shimojo N, Campbell D, Kozyrskyj AL, Slupsky CM. The Milk Metabolome of Non-secretor and Lewis Negative Mothers. Front Nutr 2021; 7:576966. [PMID: 33634158 PMCID: PMC7901958 DOI: 10.3389/fnut.2020.576966] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2020] [Accepted: 12/30/2020] [Indexed: 11/13/2022] Open
Abstract
Introduction: The functional role of milk for the developing neonate is an area of great interest, and a significant amount of research has been done. However, a lot of work remains to fully understand the complexities of milk, and the variations imposed through genetics. It has previously been shown that both secretor (Se) and Lewis blood type (Le) status impacts the human milk oligosaccharide (HMO) content of human milk. While some studies have compared the non-HMO milk metabolome of Se+ and Se- women, none have reported on the non-HMO milk metabolome of Se- and Le- mothers. Method and Results: To determine the differences in the non-HMO milk metabolome between Se-Le- mothers and other HMO phenotypes (Se+Le+, Se+Le-, and Se-Le+), 10 milk samples from 10 lactating mothers were analyzed using nuclear magnetic resonance (NMR) spectroscopy. Se or Le HMO phenotypes were assigned based on the presence and absence of 6 HMOs generated by the Se and Le genes. After classification, 58 milk metabolites were compared among the HMO phenotypes. Principal component analysis (PCA) identified clear separation between Se-Le- milk and the other milks. Fold change analysis demonstrated that the Se-Le- milk had major differences in free fatty acids, free amino acids, and metabolites related to energy metabolism. Conclusion: The results of this brief research report suggest that the milk metabolome of mothers with the Se-Le- phenotype differs in its non-HMO metabolite composition from mothers with other HMO phenotypes.
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Affiliation(s)
- Aidong Wang
- Department of Food Science and Technology, University of California, Davis, Davis, CA, United States
- InVivo Planetary Health of the Worldwide Universities Network (WUN), West New York, NJ, United States
| | - Petya Koleva
- InVivo Planetary Health of the Worldwide Universities Network (WUN), West New York, NJ, United States
- Department of Pediatrics, University of Alberta, Edmonton, AB, Canada
| | - Elloise du Toit
- InVivo Planetary Health of the Worldwide Universities Network (WUN), West New York, NJ, United States
- Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Donna T. Geddes
- InVivo Planetary Health of the Worldwide Universities Network (WUN), West New York, NJ, United States
- School of Molecular Sciences, University of Western Australia, Perth, WA, Australia
| | - Daniel Munblit
- InVivo Planetary Health of the Worldwide Universities Network (WUN), West New York, NJ, United States
- Paediatrics and Paediatric Infectious Diseases, Institute of Child's Health, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
- Section of Inflammation, Repair and Development, National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Susan L. Prescott
- InVivo Planetary Health of the Worldwide Universities Network (WUN), West New York, NJ, United States
- The ORIGINS Project, Telethon Kids Institute, Perth Childrens Hospital, University of Western Australia, Crawley, WA, Australia
| | - Merete Eggesbø
- InVivo Planetary Health of the Worldwide Universities Network (WUN), West New York, NJ, United States
- Department of Environmental Exposure and Epidemiology, Norwegian Institute of Public Health, Oslo, Norway
| | - Christine C. Johnson
- InVivo Planetary Health of the Worldwide Universities Network (WUN), West New York, NJ, United States
- Department of Public Health Sciences, Henry Ford Health System, Detroit, MI, United States
| | - Ganesa Wegienka
- InVivo Planetary Health of the Worldwide Universities Network (WUN), West New York, NJ, United States
- Department of Public Health Sciences, Henry Ford Health System, Detroit, MI, United States
| | - Naoki Shimojo
- InVivo Planetary Health of the Worldwide Universities Network (WUN), West New York, NJ, United States
- Center for Preventive Medical Sciences, Chiba University, Chiba, Japan
| | - Dianne Campbell
- InVivo Planetary Health of the Worldwide Universities Network (WUN), West New York, NJ, United States
- Department of Allergy and Immunology, Children's Hospital at Westmead, University of Sydney, Sydney, NSW, Australia
| | - Anita L. Kozyrskyj
- InVivo Planetary Health of the Worldwide Universities Network (WUN), West New York, NJ, United States
- Department of Pediatrics, University of Alberta, Edmonton, AB, Canada
| | - Carolyn M. Slupsky
- Department of Food Science and Technology, University of California, Davis, Davis, CA, United States
- InVivo Planetary Health of the Worldwide Universities Network (WUN), West New York, NJ, United States
- Department of Nutrition, University of California, Davis, Davis, CA, United States
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20
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Quitadamo PA, Palumbo G, Cianti L, Lurdo P, Gentile MA, Villani A. The Revolution of Breast Milk: The Multiple Role of Human Milk Banking between Evidence and Experience-A Narrative Review. Int J Pediatr 2021; 2021:6682516. [PMID: 33623528 PMCID: PMC7872774 DOI: 10.1155/2021/6682516] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 01/04/2021] [Accepted: 01/09/2021] [Indexed: 02/05/2023] Open
Abstract
The review recalls the importance of breast milk and deepens the theme of human milk banking, a virtuous reality that is expanding all over the world but is still little known. In the last 15 years, modern biological technologies have crystallized the concept of uniqueness and irreproducibility of human milk, by establishing three new principles: first: human milk: a "life-saving" drug; second: human milk: the best food for preterm infants; and third: human milk: the main component of premature infant care. Our experience teaches us that human milk banking plays many roles that need to be known and shared.
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Affiliation(s)
- Pasqua Anna Quitadamo
- NICU, HMB “Casa Sollievo della Sofferenza” Foundation, San Giovanni Rotondo, Foggia, Italy
| | - Giuseppina Palumbo
- NICU, HMB “Casa Sollievo della Sofferenza” Foundation, San Giovanni Rotondo, Foggia, Italy
| | - Liliana Cianti
- NICU, HMB “Casa Sollievo della Sofferenza” Foundation, San Giovanni Rotondo, Foggia, Italy
| | - Paola Lurdo
- NICU, HMB “Casa Sollievo della Sofferenza” Foundation, San Giovanni Rotondo, Foggia, Italy
| | - Maria Assunta Gentile
- NICU, HMB “Casa Sollievo della Sofferenza” Foundation, San Giovanni Rotondo, Foggia, Italy
| | - Antonio Villani
- NICU, HMB “Casa Sollievo della Sofferenza” Foundation, San Giovanni Rotondo, Foggia, Italy
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21
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Sen C, Ray PR, Bhattacharyya M. A critical review on metabolomic analysis of milk and milk products. INT J DAIRY TECHNOL 2020. [DOI: 10.1111/1471-0307.12745] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Chandrakanta Sen
- Department of Dairy Chemistry West Bengal University of Animal and Fishery Sciences Mohanpur Nadia West Bengal 741252 India
| | - Pinaki Ranjan Ray
- Department of Dairy Chemistry West Bengal University of Animal and Fishery Sciences Mohanpur Nadia West Bengal 741252 India
| | - Mahasweta Bhattacharyya
- Department of Dairy Chemistry West Bengal University of Animal and Fishery Sciences Mohanpur Nadia West Bengal 741252 India
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22
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McClements DJ. Nano-enabled personalized nutrition: Developing multicomponent-bioactive colloidal delivery systems. Adv Colloid Interface Sci 2020; 282:102211. [PMID: 32721626 DOI: 10.1016/j.cis.2020.102211] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 05/21/2020] [Accepted: 07/06/2020] [Indexed: 12/13/2022]
Abstract
There is growing interest in the production of foods and beverages with nutrient and nutraceutical profiles tailored to an individual's specific nutritional requirements. In principle, these personalized nutrition products are formulated based on the genetics, epigenetics, metabolism, microbiome, phenotype, lifestyle, age, gender, and health status of a person. A challenge in this area is to create customized functional food and beverage products that contain the required combination of bioactive agents, such as lipids, proteins, carbohydrates, vitamins, minerals, nutraceuticals, prebiotics and probiotics. Nanotechnology may facilitate the development of these kind of products since it can be used to encapsulate one or more bioactive agent in a single colloidal delivery system. This delivery system may contain one or more different kinds of colloidal particle, specifically designed to protect each nutrient in the food, but then deliver it in a bioavailable form after ingestion. This review article provides an overview of the different kinds of bioactives that need to be delivered, as well as some of the challenges associated with incorporating them into functional foods and beverages. It then highlights how nanotech-enabled colloidal delivery systems can be developed to encapsulate multiple bioactive agents in a form suitable for functional food applications, particularly in the personalized nutrition field.
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Affiliation(s)
- David Julian McClements
- Department of Food Science, University of Massachusetts, Amherst, MA 01003, USA; Department of Food Science & Bioengineering, Zhejiang Gongshang University, 18 Xuezheng Street, Zhejiang, Hangzhou 310018, China.
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23
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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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The Determinants of the Human Milk Metabolome and Its Role in Infant Health. Metabolites 2020; 10:metabo10020077. [PMID: 32093351 PMCID: PMC7074355 DOI: 10.3390/metabo10020077] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Revised: 02/16/2020] [Accepted: 02/17/2020] [Indexed: 01/07/2023] Open
Abstract
Human milk is needed for optimal growth as it satisfies both the nutritional and biological needs of an infant. The established relationship between breastfeeding and an infant’s health is attributable to the nutritional and non-nutritional, functional components of human milk including metabolites such as the lipids, amino acids, biogenic amines and carbohydrates. These components have diverse roles, including protecting the infant against infections and guiding the development of the infant’s immature immune system. In this review, we provide an in-depth and updated insight into the immune modulatory and anti-infective role of human milk metabolites and their effects on infant health and development. We also review the literature on potential determinants of the human milk metabolome, including maternal infectious diseases such as human immunodeficiency virus and mastitis.
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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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Special Issue on "NMR-Based Metabolomics and Its Applications Volume 2". Metabolites 2020; 10:metabo10020045. [PMID: 31991891 PMCID: PMC7073525 DOI: 10.3390/metabo10020045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Accepted: 01/21/2020] [Indexed: 11/24/2022] Open
Abstract
Over the last decade, the number of scientific publications in the metabolomics area has increased exponentially. The literature includes ~29,000 contributions (articles and reviews) during the period of 2009–2019, revealing metabolomics applications in a wide range of fields, including medical, plant, animal, and food sciences (this bibliographic data were retrieved from the SCOPUS database, searching “metabolomics” in keywords). The high applicability of this approach is due to its ability to qualitatively and quantitatively characterize the chemical profile of all the low molecular weight metabolites (metabolome) present in cells, tissues, organs, and biological fluids as end products of the cellular regulatory pathways. Thus, providing a snapshot of the phenotype of a biological system, metabolomics offers useful contributions to a comprehensive insight into the functional status of human, animal, plant, and microbe organisms. The contributions collected in this Special Issue (12 articles, one review and one technical report) report on the recent technical advances and practical applications of NMR spectroscopy to metabolomics analyses.
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Ten-Doménech I, Ramos-Garcia V, Piñeiro-Ramos JD, Gormaz M, Parra-Llorca A, Vento M, Kuligowski J, Quintás G. Current Practice in Untargeted Human Milk Metabolomics. Metabolites 2020; 10:E43. [PMID: 31979022 PMCID: PMC7074033 DOI: 10.3390/metabo10020043] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 01/10/2020] [Accepted: 01/19/2020] [Indexed: 12/11/2022] Open
Abstract
Human milk (HM) is considered the gold standard for infant nutrition. HM contains macro- and micronutrients, as well as a range of bioactive compounds (hormones, growth factors, cell debris, etc.). The analysis of the complex and dynamic composition of HM has been a permanent challenge for researchers. The use of novel, cutting-edge techniques involving different metabolomics platforms has permitted to expand knowledge on the variable composition of HM. This review aims to present the state-of-the-art in untargeted metabolomic studies of HM, with emphasis on sampling, extraction and analysis steps. Workflows available from the literature have been critically revised and compared, including a comprehensive assessment of the achievable metabolome coverage. Based on the scientific evidence available, recommendations for future untargeted HM metabolomics studies are included.
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Affiliation(s)
- Isabel Ten-Doménech
- Neonatal Research Unit, Health Research Institute La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain; (I.T.-D.); (V.R.-G.); (J.D.P.-R.); (M.G.); (A.P.-L.); (M.V.)
| | - Victoria Ramos-Garcia
- Neonatal Research Unit, Health Research Institute La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain; (I.T.-D.); (V.R.-G.); (J.D.P.-R.); (M.G.); (A.P.-L.); (M.V.)
| | - José David Piñeiro-Ramos
- Neonatal Research Unit, Health Research Institute La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain; (I.T.-D.); (V.R.-G.); (J.D.P.-R.); (M.G.); (A.P.-L.); (M.V.)
| | - María Gormaz
- Neonatal Research Unit, Health Research Institute La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain; (I.T.-D.); (V.R.-G.); (J.D.P.-R.); (M.G.); (A.P.-L.); (M.V.)
- Division of Neonatology, University & Polytechnic Hospital La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain
| | - Anna Parra-Llorca
- Neonatal Research Unit, Health Research Institute La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain; (I.T.-D.); (V.R.-G.); (J.D.P.-R.); (M.G.); (A.P.-L.); (M.V.)
| | - Máximo Vento
- Neonatal Research Unit, Health Research Institute La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain; (I.T.-D.); (V.R.-G.); (J.D.P.-R.); (M.G.); (A.P.-L.); (M.V.)
- Division of Neonatology, University & Polytechnic Hospital La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain
| | - Julia Kuligowski
- Neonatal Research Unit, Health Research Institute La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain; (I.T.-D.); (V.R.-G.); (J.D.P.-R.); (M.G.); (A.P.-L.); (M.V.)
| | - Guillermo Quintás
- Health and Biomedicine, Leitat Technological Center, Carrer de la Innovació, 2, 08225 Terrassa, Spain;
- Unidad Analítica, Health Research Institute La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain
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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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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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Abstract
Exclusive breastfeeding is currently recommended until at least 6 months of postnatal age, due to maternal breast milk (BM) unique composition and beneficial properties. In fact, BM modifies itself according to gestational age (GA) at birth, adapting its composition to neonatal requests during lactation. Multiple births represent about 3% of the whole pregnancies; such neonates result more vulnerable than full-term newborns, due to lower GA and birth weight (BW) and the higher incidence of perinatal complications. Although an adequate nutrition is fundamental for twins and other multiples, studies on this topic are lacking. We collected and analyzed BM from mothers of 19 twins and 5 triplets showing GA < 33 weeks and BW < 1500 g, comparing it to a control group of 28 preterm singletons. As a result, at GA ≤ 28 weeks, we observed that protein content is higher in BM for multiples (1.53 vs. 1.29 g per 100 ml), lactose concentration is greater in BM for singletons (6.72 vs. 6.34 g per 100 ml) and GA results the most relevant factor influencing BM protein composition. BM for multiples results higher in proteins and lower in lactose, if compared with singleton's samples; this could promote and sustain growth and organ development in this vulnerable category. BM from multiples shows a trophic and immunologic role, since these neonates often show lower GA and BW instead of singletons. These findings could help in optimizing nutritional strategies and improving BM individualized fortification.
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