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Phang M, Dissanayake HU, McMullan RL, Hyett J, Gordon A, Garg ML, Skilton MR. Increased α-Linolenic Acid Intake during Pregnancy is Associated with Higher Offspring Birth Weight. Curr Dev Nutr 2019; 3:nzy081. [PMID: 30820488 PMCID: PMC6390041 DOI: 10.1093/cdn/nzy081] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Revised: 06/26/2018] [Accepted: 10/01/2018] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND The amount and type of fat in the maternal diet during pregnancy are important contributors to fetal growth. The importance of plant-based omega-3 fatty acid (α-linolenic acid, ALA) intake in fetal growth has not been previously examined. OBJECTIVE We sought to determine the association of maternal ALA intake during pregnancy with birth weight and body composition of the offspring. METHODS Mothers and their newborn infants (n = 224) were recruited from the Royal Prince Alfred Hospital, Australia. Maternal diet during pregnancy was assessed using a validated food frequency questionnaire. Plasma fatty acid composition was analyzed in a subset of mothers (n = 41). Newborn body composition was assessed using air-displacement plethysmography. All analyses were adjusted for gestational age, sex, physical activity, and total energy intake. RESULTS Dietary fatty acid intakes were positively associated with plasma phospholipid fatty acids for total omega-3 fatty acids (β = 0.452, P = 0.003), ALA (β = 0.339, P = 0.03), linoleic acid (β = 0.353, P = 0.03), eicosapentaenoic acid (β = 0.407, P = 0.009), and docosahexaenoic acid (β = 0.388, P = 0.01). Higher maternal intake of ALA (% total fat) was associated with higher offspring birth weight [189.7-g increase per 1% higher ALA (95% CI: 14, 365 g); P = .04], although individually neither newborn fat mass nor fat-free mass was significant. Birth weight increased across tertiles of maternal ALA intake (P ANOVA = 0.05), with birth weight being 221 g (95% CI: 12, 429 g) higher in those with the highest maternal ALA intake compared with those with the lowest intake (P = 0.04). Mothers of infants born small for gestational age (n = 32) had a lower ALA intake than those born appropriate for gestational age (n = 162) or large for gestational age [(n = 21); P = 0.05]. CONCLUSIONS In otherwise healthy women giving birth at a major tertiary hospital in Australia, intake of ALA during pregnancy is associated with higher offspring birth weight. This may have implications for dietary strategies aimed at optimizing fetal growth via modification of maternal diet.
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Affiliation(s)
- Melinda Phang
- Boden Institute of Obesity, Nutrition, Exercise and Eating Disorders, University of Sydney, Sydney, Australia
- Sydney Medical School, University of Sydney, Sydney, Australia
| | - Hasthi U Dissanayake
- Boden Institute of Obesity, Nutrition, Exercise and Eating Disorders, University of Sydney, Sydney, Australia
- Sydney Medical School, University of Sydney, Sydney, Australia
| | - Rowena L McMullan
- Boden Institute of Obesity, Nutrition, Exercise and Eating Disorders, University of Sydney, Sydney, Australia
- Mother and Babies, Royal Prince Alfred Hospital, Camperdown, Australia
| | - Jon Hyett
- Obstetrics, Royal Prince Alfred Hospital, Camperdown, Australia
| | - Adrienne Gordon
- Sydney Medical School, University of Sydney, Sydney, Australia
- Mother and Babies, Royal Prince Alfred Hospital, Camperdown, Australia
| | - Manohar L Garg
- Nutraceuticals Research Program, University of Newcastle, Newcastle, Australia
| | - Michael R Skilton
- Boden Institute of Obesity, Nutrition, Exercise and Eating Disorders, University of Sydney, Sydney, Australia
- Sydney Medical School, University of Sydney, Sydney, Australia
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Würtz P, Wang Q, Niironen M, Tynkkynen T, Tiainen M, Drenos F, Kangas AJ, Soininen P, Skilton MR, Heikkilä K, Pouta A, Kähönen M, Lehtimäki T, Rose RJ, Kajantie E, Perola M, Kaprio J, Eriksson JG, Raitakari OT, Lawlor DA, Davey Smith G, Järvelin MR, Ala-Korpela M, Auro K. Metabolic signatures of birthweight in 18 288 adolescents and adults. Int J Epidemiol 2018; 45:1539-1550. [PMID: 27892411 PMCID: PMC5100627 DOI: 10.1093/ije/dyw255] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/10/2016] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Lower birthweight is associated with increased susceptibility to cardiometabolic diseases in adulthood, but the underlying molecular pathways are incompletely understood. We examined associations of birthweight with a comprehensive metabolic profile measured in adolescents and adults. METHODS High-throughput nuclear magnetic resonance metabolomics and biochemical assays were used to quantify 87 circulating metabolic measures in seven cohorts from Finland and the UK, comprising altogether 18 288 individuals (mean age 26 years, range 15-75). Metabolic associations with birthweight were assessed by linear regression models adjusted for sex, gestational age and age at blood sampling. The metabolic associations with birthweight were compared with the corresponding associations with adult body mass index (BMI). RESULTS Lower birthweight adjusted for gestational age was adversely associated with cardiometabolic biomarkers, including lipoprotein subclasses, fatty acids, amino acids and markers of inflammation and impaired liver function (P < 0.0015 for 46 measures). Associations were consistent across cohorts with different ages at metabolic profiling, but the magnitudes were weak. The pattern of metabolic deviations associated with lower birthweight resembled the metabolic signature of higher adult BMI (R2 = 0.77) assessed at the same time as the metabolic profiling. The resemblance indicated that 1 kg lower birthweight is associated with similar metabolic aberrations as caused by 0.92 units higher BMI in adulthood. CONCLUSIONS Lower birthweight adjusted for gestational age is associated with adverse biomarker aberrations across multiple metabolic pathways. Coherent metabolic signatures between lower birthweight and higher adult adiposity suggest that shared molecular pathways may potentially underpin the metabolic deviations. However, the magnitudes of metabolic associations with birthweight are modest in comparison to the effects of adiposity, implying that birthweight is only a weak indicator of the metabolic risk profile in adulthood.
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Affiliation(s)
- Peter Würtz
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland
| | - Qin Wang
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.,NMR Metabolomics Laboratory School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Marjo Niironen
- Department of Genomics and Biomarkers, National Institute for Health and Welfare, Helsinki, Finland.,Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Tuulia Tynkkynen
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.,NMR Metabolomics Laboratory School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Mika Tiainen
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.,NMR Metabolomics Laboratory School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Fotios Drenos
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Antti J Kangas
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland
| | - Pasi Soininen
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.,NMR Metabolomics Laboratory School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Michael R Skilton
- Boden Institute of Obesity, Nutrition, Exercise, and Eating Disorders, University of Sydney, Sydney, NSW, Australia
| | - Kauko Heikkilä
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Anneli Pouta
- Center for Life Course Health Research and Biocenter Oulu, University of Oulu, Oulu, Finland.,Department of Children, Young People and Families, National Institute for Health and Welfare, Oulu, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, University of Tampere and Tampere University Hospital, Tampere, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and School of Medicine, University of Tampere, Tampere, Finland
| | - Richard J Rose
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA
| | - Eero Kajantie
- Department of Genomics and Biomarkers, National Institute for Health and Welfare, Helsinki, Finland.,Children's Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.,Research Unit for Pediatrics, Dermatology, Clinical Genetics, Obstetrics and Gynecology, and Medical Research Unit Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Markus Perola
- Department of Genomics and Biomarkers, National Institute for Health and Welfare, Helsinki, Finland.,Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Jaakko Kaprio
- Department of Genomics and Biomarkers, National Institute for Health and Welfare, Helsinki, Finland.,Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.,Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Johan G Eriksson
- Department of Genomics and Biomarkers, National Institute for Health and Welfare, Helsinki, Finland.,Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland.,Unit of General Practice, Helsinki University Hospital, Helsinki, Finland.,Folkhälsan Research Center, Helsinki, Finland.,Vasa Central Hospital, Vasa, Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.,Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Debbie A Lawlor
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Marjo-Riitta Järvelin
- Center for Life Course Health Research and Biocenter Oulu, University of Oulu, Oulu, Finland.,Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
| | - Mika Ala-Korpela
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.,NMR Metabolomics Laboratory School of Pharmacy, University of Eastern Finland, Kuopio, Finland.,Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Kirsi Auro
- Department of Genomics and Biomarkers, National Institute for Health and Welfare, Helsinki, Finland.,Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
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