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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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Kyrkou C, Fotakis C, Dimitropoulou A, Tsakoumaki F, Zoumpoulakis P, Menexes G, Biliaderis CG, Athanasiadis AP, Michaelidou AM. Maternal Dietary Protein Patterns and Neonatal Anthropometrics: A Prospective Study with Insights from NMR Metabolomics in Amniotic Fluid. Metabolites 2023; 13:977. [PMID: 37755257 PMCID: PMC10535439 DOI: 10.3390/metabo13090977] [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: 08/01/2023] [Revised: 08/17/2023] [Accepted: 08/21/2023] [Indexed: 09/28/2023] Open
Abstract
This study aimed to characterize dietary protein patterns (DPPs) in a sample pool of 298 well-nourished pregnant women and explore potential associations between DPPs and neonatal anthropometrics. Maternal dietary data were collected using a validated food frequency questionnaire. Neonatal anthropometrics were abstracted from health booklets. A hierarchical cluster analysis identified three DPPs: "Dairy-focused", "Med-fusion", and "Traditional-inspired". The "Dairy-focused" DPP exhibited the highest protein intake (p < 0.001), predominantly animal protein (p < 0.001), while the "Traditional-inspired" DPP presented higher plant protein (p < 0.001) and fiber intakes (p < 0.001), and, therefore, a reduced carbohydrate-to-fiber quotient (p < 0.001). The "Med-fusion" DPP had the lowest protein-to-fat ratio (p < 0.001). Infants of women following the "Dairy-focused" DPP had the highest birth height centiles (p = 0.007) and the lowest ponderal index (p = 0.003). The NMR-metabolomics approach was implemented on a subset of women that provided amniotic fluid (AF) specimens (n = 62) to elucidate distinct metabolic signatures associated with DPPs. PCA and OPLS-DA models verified the adherence to three DPPs, revealing that the levels of several amino acids (AAs) were the highest in "Dairy-focused", reflecting its protein-rich nature. The "Traditional-inspired" DPP showed decreased AAs and glucose levels. This knowledge may contribute to optimizing maternal dietary recommendations. Further research is needed to validate these findings and better understand the relationships between maternal diet, AF metabolic signature, and neonatal anthropometrics.
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Affiliation(s)
- Charikleia Kyrkou
- Department of Food Science and Technology, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece; (C.K.); (A.D.); (F.T.); (C.G.B.)
| | - Charalambos Fotakis
- Institute of Chemical Biology, National Hellenic Research Foundation, 116 35 Athens, Greece; (C.F.); (P.Z.)
| | - Aristea Dimitropoulou
- Department of Food Science and Technology, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece; (C.K.); (A.D.); (F.T.); (C.G.B.)
| | - Foteini Tsakoumaki
- Department of Food Science and Technology, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece; (C.K.); (A.D.); (F.T.); (C.G.B.)
| | - Panagiotis Zoumpoulakis
- Institute of Chemical Biology, National Hellenic Research Foundation, 116 35 Athens, Greece; (C.F.); (P.Z.)
- Department of Food Science and Technology, University of West Attica, Ag. Spyridonos, 122 43 Egaleo, Greece
| | - Georgios Menexes
- Department of Field Crops and Ecology, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece;
| | - Costas G. Biliaderis
- Department of Food Science and Technology, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece; (C.K.); (A.D.); (F.T.); (C.G.B.)
| | - Apostolos P. Athanasiadis
- 3rd Department of Obstetrics and Gynecology, School of Medicine, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece;
| | - Alexandra-Maria Michaelidou
- Department of Food Science and Technology, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece; (C.K.); (A.D.); (F.T.); (C.G.B.)
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Effects of Different Prenatal Nutrition Strategies on the Liver Metabolome of Bulls and Its Correlation with Body and Liver Weight. Metabolites 2022; 12:metabo12050441. [PMID: 35629945 PMCID: PMC9143101 DOI: 10.3390/metabo12050441] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 04/27/2022] [Accepted: 05/12/2022] [Indexed: 12/04/2022] Open
Abstract
This study investigated the effect of prenatal nutrition on liver metabolome and on body (BW) and liver weight (LW) of Nellore bulls at slaughter. Three treatments were applied in 126 cows during pregnancy: NP—control (mineral supplementation); PP—protein-energy supplementation in the third trimester; and FP—protein-energy supplementation during the entire pregnancy. Offspring BW and LW were evaluated, and a targeted metabolomics analysis was performed on their livers (n = 18, 22.5 ± 1 months of age). Data were submitted to principal component analysis (PCA), analysis of variance (ANOVA), enrichment analysis, and Pearson’s correlation analysis. The phenotypes did not show differences between treatments (p > 0.05). Metabolites PCA showed an overlap of treatment clusters in the analysis. We found significant metabolites in ANOVA (p ≤ 0.05; Glycine, Hydroxytetradecadienylcarnitine, Aminoadipic acid and Carnosine). Enrichment analysis revealed some biological processes (Histidine metabolism, beta-Alanine metabolism, and Lysine degradation). Pearson’s correlation analysis showed 29 significant correlated metabolites with BW and 1 metabolite correlated with LW. In summary, prenatal nutrition did not show effects on the phenotypes evaluated, but affected some metabolites and biological pathways, mainly related to oxidative metabolism. In addition, BW seems to influence the hepatic metabolome more than LW, due to the amount and magnitude of correlations found.
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