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Warrington NM, Howe LD, Wu YY, Timpson NJ, Tilling K, Pennell CE, Newnham J, Davey-Smith G, Palmer LJ, Beilin LJ, Lye SJ, Lawlor DA, Briollais L. Association of a body mass index genetic risk score with growth throughout childhood and adolescence. PLoS One 2013; 8:e79547. [PMID: 24244521 PMCID: PMC3823612 DOI: 10.1371/journal.pone.0079547] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2013] [Accepted: 09/23/2013] [Indexed: 02/01/2023] Open
Abstract
Background While the number of established genetic variants associated with adult body mass index (BMI) is growing, the relationships between these variants and growth during childhood are yet to be fully characterised. We examined the association between validated adult BMI associated single nucleotide polymorphisms (SNPs) and growth trajectories across childhood. We investigated the timing of onset of the genetic effect and whether it was sex specific. Methods Children from the ALSPAC and Raine birth cohorts were used for analysis (n = 9,328). Genotype data from 32 adult BMI associated SNPs were investigated individually and as an allelic score. Linear mixed effects models with smoothing splines were used for longitudinal modelling of the growth parameters and measures of adiposity peak and rebound were derived. Results The allelic score was associated with BMI growth throughout childhood, explaining 0.58% of the total variance in BMI in females and 0.44% in males. The allelic score was associated with higher BMI at the adiposity peak (females = 0.0163 kg/m2 per allele, males = 0.0123 kg/m2 per allele) and earlier age (-0.0362 years per allele in males and females) and higher BMI (0.0332 kg/m2 per allele in females and 0.0364 kg/m2 per allele in males) at the adiposity rebound. No gene:sex interactions were detected for BMI growth. Conclusions This study suggests that known adult genetic determinants of BMI have observable effects on growth from early childhood, and is consistent with the hypothesis that genetic determinants of adult susceptibility to obesity act from early childhood and develop over the life course.
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Affiliation(s)
- Nicole M. Warrington
- School of Women’s and Infants’ Health, The University of Western Australia, Perth, Western Australia, Australia
- Samuel Lunenfeld Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Laura D. Howe
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Yan Yan Wu
- Samuel Lunenfeld Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Nicholas J. Timpson
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Kate Tilling
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Craig E. Pennell
- School of Women’s and Infants’ Health, The University of Western Australia, Perth, Western Australia, Australia
| | - John Newnham
- School of Women’s and Infants’ Health, The University of Western Australia, Perth, Western Australia, Australia
| | - George Davey-Smith
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Lyle J. Palmer
- Samuel Lunenfeld Research Institute, University of Toronto, Toronto, Ontario, Canada
- Ontario Institute for Cancer Research, University of Toronto, Toronto, Ontario, Canada
| | - Lawrence J. Beilin
- School of Medicine and Pharmacology, The University of Western Australia, Perth, Western Australia, Australia
| | - Stephen J. Lye
- Samuel Lunenfeld Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Debbie A. Lawlor
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Laurent Briollais
- Samuel Lunenfeld Research Institute, University of Toronto, Toronto, Ontario, Canada
- * E-mail:
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Howe LD, Parmar PG, Paternoster L, Warrington NM, Kemp JP, Briollais L, Newnham JP, Timpson NJ, Smith GD, Ring SM, Evans DM, Tilling K, Pennell CE, Beilin LJ, Palmer LJ, Lawlor DA. Genetic influences on trajectories of systolic blood pressure across childhood and adolescence. ACTA ACUST UNITED AC 2013; 6:608-14. [PMID: 24200906 DOI: 10.1161/circgenetics.113.000197] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Blood pressure (BP) tends to increase across childhood and adolescence, but the genetic influences on rates of BP change are not known. Potentially important genetic influences could include genetic variants identified in genome-wide association studies of adults as being associated with BP, height, and body mass index. Understanding the contribution of these genetic variants to changes in BP across childhood and adolescence could yield understanding into the life course development of cardiovascular risk. METHODS AND RESULTS Pooling data from 2 cohorts (the Avon Longitudinal Study of Parents and Children [n=7013] and the Western Australian Pregnancy Cohort [n=1459]), we examined the associations of allelic scores of 29 single-nucleotide polymorphisms (SNPs) for adult BP, 180 height SNPs, and 32 body mass index SNPs, with trajectories of systolic BP (SBP) from 6 to 17 years of age, using linear spline multilevel models. The allelic scores of BP and body mass index SNPs were associated with SBP at 6 years of age (per-allele effect sizes, 0.097 mm Hg [SE, 0.039 mm Hg] and 0.107 mm Hg [SE, 0.037 mm Hg]); associations with age-related changes in SBP between 6 and 17 years of age were of small magnitude and imprecisely estimated. The allelic score of height SNPs was only weakly associated with SBP changes. No sex or cohort differences in genetic effects were observed. CONCLUSIONS Allelic scores of BP and body mass index SNPs demonstrated associations with SBP at 6 years of age with a similar magnitude but were not strongly associated with changes in SBP with age between 6 and 17 years. Further work is required to identify variants associated with changes with age in BP.
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Affiliation(s)
- Laura D Howe
- MRC Integrative Epidemiology Unit at the University of Bristol
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Slama R, Cordier S. Impact des facteurs environnementaux physiques et chimiques sur le déroulement et les issues de grossesse. ACTA ACUST UNITED AC 2013; 42:413-44. [DOI: 10.1016/j.jgyn.2013.02.012] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2012] [Revised: 02/06/2013] [Accepted: 02/28/2013] [Indexed: 11/29/2022]
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Vandraas KF, Vikanes ÅV, Støer NC, Vangen S, Magnus P, Grjibovski AM. Is hyperemesis gravidarum associated with placental weight and the placental weight-to-birth weight ratio? A population-based Norwegian cohort study. Placenta 2013; 34:990-4. [PMID: 23993392 DOI: 10.1016/j.placenta.2013.08.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2013] [Revised: 07/15/2013] [Accepted: 08/02/2013] [Indexed: 12/27/2022]
Abstract
INTRODUCTION Studies have suggested a link between placental weight, placental weight-to-birth weight ratio (PW/BW) and adult health. Hyperemesis gravidarum (HG) may also have implications for adult health. No studies on HG and placental characteristics have been identified. We therefore explored the relationship between HG, placental weight and the PW/BW-ratio in a population-based cohort. METHODS Singleton births to primiparous women between 1999 and 2009 with data on HG, placental weight and birth weight in the Medical Birth Registry of Norway (MBRN) comprised the study base (n = 200,390). HG was defined through ICD-10 code 021.0, 021.1 and 021.9. Gender and gestational age specific percentile curves for placenta weight and PW/BW ratio were used to define those below the 10th and above the 90th percentile of both outcomes. Associations between HG and dichotomous outcomes were studied by multiple logistic regression. Multiple linear regression was applied to study placental weight as a continuous variable. Male and female offspring were analyzed separately. RESULTS The prevalence of HG was 1.2%. Women with HG and female offspring had significantly higher risk of a PW/BW-ratio above the 90th percentile (OR = 1.17, 95% CI: 1.03-1.34). HG and PW/BW-ratio below the 10th percentile were inversely associated (OR = 0.70, 95% CI: 0.56-0.89). For male offspring no association was observed for HG and PW/BW-ratio below the 10th or above the 90th percentile. DISCUSSION/CONCLUSIONS We observed positive associations between HG and high PW/BW ratio limited to female offspring only. The high PW/BW-ratio suggests that there may be a possible link between HG and adult health.
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Affiliation(s)
- K F Vandraas
- Division for Epidemiology, Norwegian Institute of Public Health, PO Box 4404, Nydalen, 0403 Oslo, Norway; Norwegian Resource Centre for Women's Health, Oslo Universitetssykehus HF, Rikshospitalet, PO Box 4950, Nydalen, 0424 Oslo, Norway.
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Cheng CY, Schache M, Ikram M, Young T, Guggenheim J, Vitart V, MacGregor S, Verhoeven V, Barathi V, Liao J, Hysi P, Bailey-Wilson J, St. Pourcain B, Kemp J, McMahon G, Timpson N, Evans D, Montgomery G, Mishra A, Wang Y, Wang J, Rochtchina E, Polasek O, Wright A, Amin N, van Leeuwen E, Wilson J, Pennell C, van Duijn C, de Jong P, Vingerling J, Zhou X, Chen P, Li R, Tay WT, Zheng Y, Chew M, Burdon KP, Craig JE, Iyengar SK, Igo RP, Lass JH, Chew EY, Haller T, Mihailov E, Metspalu A, Wedenoja J, Simpson CL, Wojciechowski R, Höhn R, Mirshahi A, Zeller T, Pfeiffer N, Lackner KJ, Bettecken T, Meitinger T, Oexle K, Pirastu M, Portas L, Nag A, Williams KM, Yonova-Doing E, Klein R, Klein BE, Hosseini SM, Paterson AD, Makela KM, Lehtimaki T, Kahonen M, Raitakari O, Yoshimura N, Matsuda F, Chen LJ, Pang CP, Yip SP, Yap MK, Meguro A, Mizuki N, Inoko H, Foster PJ, Zhao JH, Vithana E, Tai ES, Fan Q, Xu L, Campbell H, Fleck B, Rudan I, Aung T, Hofman A, Uitterlinden AG, Bencic G, Khor CC, Forward H, Pärssinen O, Mitchell P, Rivadeneira F, Hewitt AW, Williams C, Oostra BA, Teo YY, Hammond CJ, Stambolian D, Mackey DA, Klaver CC, Wong TY, Saw SM, Baird PN. Nine loci for ocular axial length identified through genome-wide association studies, including shared loci with refractive error. Am J Hum Genet 2013; 93:264-77. [PMID: 24144296 PMCID: PMC3772747 DOI: 10.1016/j.ajhg.2013.06.016] [Citation(s) in RCA: 117] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2013] [Revised: 04/17/2013] [Accepted: 06/12/2013] [Indexed: 01/15/2023] Open
Abstract
Refractive errors are common eye disorders of public health importance worldwide. Ocular axial length (AL) is the major determinant of refraction and thus of myopia and hyperopia. We conducted a meta-analysis of genome-wide association studies for AL, combining 12,531 Europeans and 8,216 Asians. We identified eight genome-wide significant loci for AL (RSPO1, C3orf26, LAMA2, GJD2, ZNRF3, CD55, MIP, and ALPPL2) and confirmed one previously reported AL locus (ZC3H11B). Of the nine loci, five (LAMA2, GJD2, CD55, ALPPL2, and ZC3H11B) were associated with refraction in 18 independent cohorts (n = 23,591). Differential gene expression was observed for these loci in minus-lens-induced myopia mouse experiments and human ocular tissues. Two of the AL genes, RSPO1 and ZNRF3, are involved in Wnt signaling, a pathway playing a major role in the regulation of eyeball size. This study provides evidence of shared genes between AL and refraction, but importantly also suggests that these traits may have unique pathways.
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Affiliation(s)
- Ching-Yu Cheng
- Department of Ophthalmology, National University of Singapore and National University Health System, Singapore 119228, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117597, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore
- Centre for Quantitative Medicine, Office of Clinical Sciences, Duke-National University of Singapore Graduate Medical School, Singapore 169857, Singapore
| | - Maria Schache
- Centre for Eye Research Australia (CERA), University of Melbourne, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia
| | - M. Kamran Ikram
- Department of Ophthalmology, National University of Singapore and National University Health System, Singapore 119228, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore
- Centre for Quantitative Medicine, Office of Clinical Sciences, Duke-National University of Singapore Graduate Medical School, Singapore 169857, Singapore
- Department of Ophthalmology, Erasmus Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Terri L. Young
- Department of Ophthalmology, Duke University Medical Center, Durham, NC 27710, USA
- Division of Neuroscience and Behavioural Disorders, Duke-National University of Singapore, Graduate Medical School, Singapore 169857, Singapore
| | - Jeremy A. Guggenheim
- Centre for Myopia Research, School of Optometry, Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Veronique Vitart
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Stuart MacGregor
- Queensland Institute of Medical Research, Brisbane, QLD 4029, Australia
| | - Virginie J.M. Verhoeven
- Department of Ophthalmology, Erasmus Medical Center, Rotterdam 3000 CA, the Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Veluchamy A. Barathi
- Department of Ophthalmology, National University of Singapore and National University Health System, Singapore 119228, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore
- Duke-National University of Singapore Graduate Medical School, Singapore 169857, Singapore
| | - Jiemin Liao
- Department of Ophthalmology, National University of Singapore and National University Health System, Singapore 119228, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore
| | - Pirro G. Hysi
- Department of Twin Research and Genetic Epidemiology, King’s College London School of Medicine, London SE1 7EH, UK
| | - Joan E. Bailey-Wilson
- Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD 21224, USA
| | - Beate St. Pourcain
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
- School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - John P. Kemp
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
- School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - George McMahon
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
- School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Nicholas J. Timpson
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
- School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - David M. Evans
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
- School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | | | - Aniket Mishra
- Queensland Institute of Medical Research, Brisbane, QLD 4029, Australia
| | - Ya Xing Wang
- Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital University of Medical Science, Beijing 100730, China
| | - Jie Jin Wang
- Centre for Eye Research Australia (CERA), University of Melbourne, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia
- Department of Ophthalmology, Centre for Vision Research, Westmead Millennium Institute, University of Sydney, Sydney, NSW 2145, Australia
| | - Elena Rochtchina
- Department of Ophthalmology, Centre for Vision Research, Westmead Millennium Institute, University of Sydney, Sydney, NSW 2145, Australia
| | - Ozren Polasek
- Faculty of Medicine, University of Split, Croatia, Split 21000, Croatia
| | - Alan F. Wright
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000 CA, the Netherlands
| | | | - James F. Wilson
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Craig E. Pennell
- School of Women’s and Infants’ Health, The University of Western Australia, Perth, WA 6009, Australia
| | - Cornelia M. van Duijn
- Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Paulus T.V.M. de Jong
- Netherlands Institute of Neuroscience (NIN), An Institute of the Royal Netherlands Academy of Arts and Sciences (KNAW), Amsterdam 1105 BA, the Netherlands
- Department of Ophthalmology, Academisch Medisch Centrum, Amsterdam 1105 AZ, the Netherlands and Leids Universitair Medisch Centrum, Leiden 2300 RC, the Netherlands
| | - Johannes R. Vingerling
- Department of Ophthalmology, Erasmus Medical Center, Rotterdam 3000 CA, the Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Xin Zhou
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117597, Singapore
| | - Peng Chen
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117597, Singapore
| | - Ruoying Li
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117597, Singapore
| | - Wan-Ting Tay
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore
| | - Yingfeng Zheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore
| | - Merwyn Chew
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore
| | - Kathryn P. Burdon
- Department of Ophthalmology, Flinders University, Adelaide, SA 5001, Australia
| | - Jamie E. Craig
- Department of Ophthalmology, Flinders University, Adelaide, SA 5001, Australia
| | - Sudha K. Iyengar
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44106, USA
- Department of Ophthalmology and Visual Sciences, Case Western Reserve University and University Hospitals Eye Institute, Cleveland, OH 44106, USA
- Department of Genetics, Case Western Reserve University, Cleveland, OH 44106, USA
- Center for Clinical Investigation, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Robert P. Igo
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Jonathan H. Lass
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44106, USA
- Department of Ophthalmology and Visual Sciences, Case Western Reserve University and University Hospitals Eye Institute, Cleveland, OH 44106, USA
| | - Emily Y. Chew
- National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Toomas Haller
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Evelin Mihailov
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Juho Wedenoja
- Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki 00014, Finland
| | - Claire L. Simpson
- Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD 21224, USA
| | - Robert Wojciechowski
- Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD 21224, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - René Höhn
- Department of Ophthalmology, University Medical Center Mainz, Mainz 55131, Germany
| | - Alireza Mirshahi
- Department of Ophthalmology, University Medical Center Mainz, Mainz 55131, Germany
| | - Tanja Zeller
- Clinic for General and Interventional Cardiology, University Heart Center Hamburg, Hamburg 20246, Germany
| | - Norbert Pfeiffer
- Department of Ophthalmology, University Medical Center Mainz, Mainz 55131, Germany
| | - Karl J. Lackner
- Department of Clinical Chemistry and Laboratory Medicine, University Medical Center Mainz, Mainz 55131, Germany
| | - Thomas Bettecken
- Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg 85764, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg 85764, Germany
- Institute of Human Genetics, Technical University Munich, Munich 81675, Germany
| | - Konrad Oexle
- Institute of Human Genetics, Technical University Munich, Munich 81675, Germany
| | - Mario Pirastu
- Institute of Population Genetics, National Research Council of Italy, Sassari 07100, Italy
| | - Laura Portas
- Institute of Population Genetics, National Research Council of Italy, Sassari 07100, Italy
| | - Abhishek Nag
- Department of Twin Research and Genetic Epidemiology, King’s College London School of Medicine, London SE1 7EH, UK
| | - Katie M. Williams
- Department of Twin Research and Genetic Epidemiology, King’s College London School of Medicine, London SE1 7EH, UK
| | - Ekaterina Yonova-Doing
- Department of Twin Research and Genetic Epidemiology, King’s College London School of Medicine, London SE1 7EH, UK
| | - Ronald Klein
- Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA
| | - Barbara E. Klein
- Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA
| | - S. Mohsen Hosseini
- Program in Genetics and Genome Biology, The Hospital for Sick Children and Institute for Medical Sciences, University of Toronto, Toronto, ON M5G 1X8, Canada
| | - Andrew D. Paterson
- Program in Genetics and Genome Biology, The Hospital for Sick Children and Institute for Medical Sciences, University of Toronto, Toronto, ON M5G 1X8, Canada
| | - Kari-Matti Makela
- Department of Clinical Chemistry, Filmlab Laboratories, Tampere University Hospital and School of Medicine, University of Tampere, Tampere 33520, Finland
| | - Terho Lehtimaki
- Department of Clinical Chemistry, Filmlab Laboratories, Tampere University Hospital and School of Medicine, University of Tampere, Tampere 33520, Finland
| | - Mika Kahonen
- Department of Clinical Physiology, Tampere University Hospital and School of Medicine, University of Tampere, Tampere 33521, Finland
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, and Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku 20041, Finland
| | - Nagahisa Yoshimura
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan
| | - Fumihiko Matsuda
- Department of Human Disease Genomics, Kyoto University Graduate School of Medicine, Kyoto 606-8501, Japan
| | - Li Jia Chen
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong
| | - Chi Pui Pang
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Eye Hospital, Kowloon, Hong Kong
| | - Shea Ping Yip
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong
| | - Maurice K.H. Yap
- Centre for Myopia Research, School of Optometry, Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Akira Meguro
- Department of Ophthalmology and Visual Sciences, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Nobuhisa Mizuki
- Department of Ophthalmology and Visual Sciences, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Hidetoshi Inoko
- Department of Genetic Information, Division of Molecular Life Science, Tokai University School of Medicine, Kanagawa 259-1193, Japan
| | - Paul J. Foster
- NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology, London EC1V 2PD, UK
| | - Jing Hua Zhao
- MRC Epidemiology Unit, Institute of Metabolic Sciences, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Eranga Vithana
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore
| | - E-Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117597, Singapore
- Duke-National University of Singapore Graduate Medical School, Singapore 169857, Singapore
- Department of Medicine, National University of Singapore and National University Health System, Singapore 119228, Singapore
| | - Qiao Fan
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117597, Singapore
| | - Liang Xu
- Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital University of Medical Science, Beijing 100730, China
| | - Harry Campbell
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Brian Fleck
- Princess Alexandra Eye Pavilion, Edinburgh EH3 9HA, UK
| | - Igor Rudan
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Tin Aung
- Department of Ophthalmology, National University of Singapore and National University Health System, Singapore 119228, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000 CA, the Netherlands
| | - André G. Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000 CA, the Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Goran Bencic
- Department of Ophthalmology, Sisters of Mercy University Hospital, Zagreb 10000, Croatia
| | - Chiea-Chuen Khor
- Department of Ophthalmology, National University of Singapore and National University Health System, Singapore 119228, Singapore
- Division of Human Genetics, Genome Institute of Singapore, Singapore 138672, Singapore
| | - Hannah Forward
- School of Women’s and Infants’ Health, The University of Western Australia, Perth, WA 6009, Australia
| | - Olavi Pärssinen
- Department of Health Sciences and Gerontology Research Center, University of Jyväskylä, Jyväskylä 40014, Finland
- Department of Ophthalmology, Central Hospital of Central Finland, Jyväskylä 40620, Finland
| | - Paul Mitchell
- Department of Ophthalmology, Centre for Vision Research, Westmead Millennium Institute, University of Sydney, Sydney, NSW 2145, Australia
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Alex W. Hewitt
- Centre for Eye Research Australia (CERA), University of Melbourne, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, WA 6009, Australia
| | - Cathy Williams
- School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Ben A. Oostra
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Yik-Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117597, Singapore
- Department of Statistics and Applied Probability, National University of Singapore, Singapore 117546, Singapore
| | - Christopher J. Hammond
- Department of Twin Research and Genetic Epidemiology, King’s College London School of Medicine, London SE1 7EH, UK
| | - Dwight Stambolian
- Department of Ophthalmology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - David A. Mackey
- Centre for Eye Research Australia (CERA), University of Melbourne, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, WA 6009, Australia
| | - Caroline C.W. Klaver
- Department of Ophthalmology, Erasmus Medical Center, Rotterdam 3000 CA, the Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Tien-Yin Wong
- Department of Ophthalmology, National University of Singapore and National University Health System, Singapore 119228, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117597, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore
| | - Seang-Mei Saw
- Department of Ophthalmology, National University of Singapore and National University Health System, Singapore 119228, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117597, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore
- Centre for Quantitative Medicine, Office of Clinical Sciences, Duke-National University of Singapore Graduate Medical School, Singapore 169857, Singapore
| | - Paul N. Baird
- Centre for Eye Research Australia (CERA), University of Melbourne, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia
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Haider BA, Olofin I, Wang M, Spiegelman D, Ezzati M, Fawzi WW. Anaemia, prenatal iron use, and risk of adverse pregnancy outcomes: systematic review and meta-analysis. BMJ 2013; 346:f3443. [PMID: 23794316 PMCID: PMC3689887 DOI: 10.1136/bmj.f3443] [Citation(s) in RCA: 434] [Impact Index Per Article: 39.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/20/2013] [Indexed: 01/16/2023]
Abstract
OBJECTIVES To summarise evidence on the associations of maternal anaemia and prenatal iron use with maternal haematological and adverse pregnancy outcomes; and to evaluate potential exposure-response relations of dose of iron, duration of use, and haemoglobin concentration in prenatal period with pregnancy outcomes. DESIGN Systematic review and meta-analysis DATA SOURCES Searches of PubMed and Embase for studies published up to May 2012 and references of review articles. STUDY SELECTION CRITERIA Randomised trials of prenatal iron use and prospective cohort studies of prenatal anaemia; cross sectional and case-control studies were excluded. RESULTS 48 randomised trials (17 793 women) and 44 cohort studies (1 851 682 women) were included. Iron use increased maternal mean haemoglobin concentration by 4.59 (95% confidence interval 3.72 to 5.46) g/L compared with controls and significantly reduced the risk of anaemia (relative risk 0.50, 0.42 to 0.59), iron deficiency (0.59, 0.46 to 0.79), iron deficiency anaemia (0.40, 0.26 to 0.60), and low birth weight (0.81, 0.71 to 0.93). The effect of iron on preterm birth was not significant (relative risk 0.84, 0.68 to 1.03). Analysis of cohort studies showed a significantly higher risk of low birth weight (adjusted odds ratio 1.29, 1.09 to 1.53) and preterm birth (1.21, 1.13 to 1.30) with anaemia in the first or second trimester. Exposure-response analysis indicated that for every 10 mg increase in iron dose/day, up to 66 mg/day, the relative risk of maternal anaemia was 0.88 (0.84 to 0.92) (P for linear trend<0.001). Birth weight increased by 15.1 (6.0 to 24.2) g (P for linear trend=0.005) and risk of low birth weight decreased by 3% (relative risk 0.97, 0.95 to 0.98) for every 10 mg increase in dose/day (P for linear trend<0.001). Duration of use was not significantly associated with the outcomes after adjustment for dose. Furthermore, for each 1 g/L increase in mean haemoglobin, birth weight increased by 14.0 (6.8 to 21.8) g (P for linear trend=0.002); however, mean haemoglobin was not associated with the risk of low birth weight and preterm birth. No evidence of a significant effect on duration of gestation, small for gestational age births, and birth length was noted. CONCLUSIONS Daily prenatal use of iron substantially improved birth weight in a linear dose-response fashion, probably leading to a reduction in risk of low birth weight. An improvement in prenatal mean haemoglobin concentration linearly increased birth weight.
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Affiliation(s)
- Batool A Haider
- Departments of Epidemiology and Nutrition, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA.
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Strøm-Roum EM, Haavaldsen C, Tanbo TG, Eskild A. Placental weight relative to birthweight in pregnancies with maternal diabetes mellitus. Acta Obstet Gynecol Scand 2013; 92:783-9. [DOI: 10.1111/aogs.12104] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2012] [Accepted: 01/19/2013] [Indexed: 01/07/2023]
Affiliation(s)
| | - Camilla Haavaldsen
- Department of Gynecology and Obstetrics; Akershus University Hospital and Institute of Clinical Medicine; University of Oslo; Lørenskog; Norway
| | - Tom G. Tanbo
- Department of Gynecology; Oslo University Hospital; Rikshospitalet and Institute of Clinical Medicine; University of Oslo; Oslo; Norway
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Warrington NM, Wu YY, Pennell CE, Marsh JA, Beilin LJ, Palmer LJ, Lye SJ, Briollais L. Modelling BMI trajectories in children for genetic association studies. PLoS One 2013; 8:e53897. [PMID: 23349760 PMCID: PMC3547961 DOI: 10.1371/journal.pone.0053897] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2012] [Accepted: 12/04/2012] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND The timing of associations between common genetic variants and changes in growth patterns over childhood may provide insight into the development of obesity in later life. To address this question, it is important to define appropriate statistical models to allow for the detection of genetic effects influencing longitudinal childhood growth. METHODS AND RESULTS Children from The Western Australian Pregnancy Cohort (Raine; n=1,506) Study were genotyped at 17 genetic loci shown to be associated with childhood obesity (FTO, MC4R, TMEM18, GNPDA2, KCTD15, NEGR1, BDNF, ETV5, SEC16B, LYPLAL1, TFAP2B, MTCH2, BCDIN3D, NRXN3, SH2B1, MRSA) and an obesity-risk-allele-score was calculated as the total number of 'risk alleles' possessed by each individual. To determine the statistical method that fits these data and has the ability to detect genetic differences in BMI growth profile, four methods were investigated: linear mixed effects model, linear mixed effects model with skew-t random errors, semi-parametric linear mixed models and a non-linear mixed effects model. Of the four methods, the semi-parametric linear mixed model method was the most efficient for modelling childhood growth to detect modest genetic effects in this cohort. Using this method, three of the 17 loci were significantly associated with BMI intercept or trajectory in females and four in males. Additionally, the obesity-risk-allele score was associated with increased average BMI (female: β=0.0049, P=0.0181; male: β=0.0071, P=0.0001) and rate of growth (female: β=0.0012, P=0.0006; male: β=0.0008, P=0.0068) throughout childhood. CONCLUSIONS Using statistical models appropriate to detect genetic variants, variations in adult obesity genes were associated with childhood growth. There were also differences between males and females. This study provides evidence of genetic effects that may identify individuals early in life that are more likely to rapidly increase their BMI through childhood, which provides some insight into the biology of childhood growth.
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Affiliation(s)
- Nicole M. Warrington
- School of Women’s and Infants’ Health, The University of Western Australia, Perth, Western Australia, Australia
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Yan Yan Wu
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Craig E. Pennell
- School of Women’s and Infants’ Health, The University of Western Australia, Perth, Western Australia, Australia
| | - Julie A. Marsh
- School of Women’s and Infants’ Health, The University of Western Australia, Perth, Western Australia, Australia
| | - Lawrence J. Beilin
- School of Medicine and Pharmacology, The University of Western Australia, Perth, Western Australia, Australia
| | - Lyle J. Palmer
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Stephen J. Lye
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Laurent Briollais
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
- * E-mail:
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Yazar S, Forward H, McKnight CM, Tan A, Soloshenko A, Oates SK, Ang W, Sherwin JC, Wood D, Mountain JA, Pennell CE, Hewitt AW, Mackey DA. Raine Eye Health Study: Design, Methodology and Baseline Prevalence of Ophthalmic Disease in a Birth-cohort Study of Young Adults. Ophthalmic Genet 2013; 34:199-208. [DOI: 10.3109/13816810.2012.755632] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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Panti AA, Ekele BA, Nwobodo EI, Yakubu A. The relationship between the weight of the placenta and birth weight of the neonate in a Nigerian Hospital. Niger Med J 2012; 53:80-4. [PMID: 23271851 PMCID: PMC3530253 DOI: 10.4103/0300-1652.103547] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Background: There have been several publications from different countries on the relationship between the placental weight and birth weight of the neonate. However, such reports from Nigeria are lacking in literature. The objective of this study was to determine the relationship between the placental weight and birth weight of the neonate at term pregnancy in a Nigerian hospital. Materials and Methods: It was a cross-sectional study conducted at Usmanu Danfodiyo University Teaching Hospital Sokoto between 1st October 2008 and 31st March 2009. Data gestational age at delivery (in weeks), parity, mode of delivery, fetal birth weight, placental weight, fetal gender, presence or absence of maternal medical diseases were obtained from 1009 singleton term deliveries who met the inclusion criteria for the study. The data was processed using EPI-INFO version 2005 and statistical analysis performed using one-way analysis of variance. A probability of 0.05 was set for statistical significance. Results: The placental birth weight ranged from 300 to 890 g with a mean of 590±82 g while the birth weight of the neonate ranged from 2030 to 5020 g with an average of 3275±469 g. The mean gestational age at delivery was 38.8±1.1 weeks while the mean placental birth weight ratio was 18.2±2.4 Increase in birth weight of the neonate was associated with corresponding increase in placental weight. However, as the gestational age at term advances the proportion of increase in the former was greater than that of the latter. Conclusions: There is a positive correlation between placental weight and birth weight of the neonate. However, the ratio of the placental and neonatal birth weights at term decreases with advancing gestational age. Thus, prolongation of pregnancy at term may adversely affect the fetus.
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Affiliation(s)
- Abubakar A Panti
- Department of Obstetrics and Gynaecology, Usmanu Danfodiyo University Teaching Hospital, PMB 2370, Sokoto Nigeria
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Abarin T, Yan Wu Y, Warrington N, Lye S, Pennell C, Briollais L. The impact of breastfeeding on FTO-related BMI growth trajectories: an application to the Raine pregnancy cohort study. Int J Epidemiol 2012; 41:1650-60. [PMID: 23154192 DOI: 10.1093/ije/dys171] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
INTRODUCTION For years, body mass index (BMI) has been used by scientists to track weight problems and obesity in children and adults. Recent studies have implicated the fat mass and obesity gene (FTO) in the increase of BMI in young adults. A longer duration of breastfeeding is known to reduce the risk of being overweight later in life, but its ability to modify the effect because of FTO is not known. METHODS We studied 1096 children from the Western Australian Pregnancy (Raine) cohort who were followed up from birth to 14 years of age. Linear mixed-effects models were used to investigate BMI growth trajectories in boys and girls separately. RESULTS An association was found between BMI growth and the duration of exclusive breastfeeding (EXBF) among carriers of the risk allele of the FTO SNP rs9939609. In girls, EXBF interacts with the SNP at baseline and can reverse the increase in BMI because of SNP risk allele by age 14 years after 3 months of EXBF. In boys, EXBF reduces BMI both in carriers and non-carriers of the risk allele with an association found after 10 years of age. Six months of EXBF will put the boys' BMI growth curves back to the normal range. CONCLUSIONS Our study could have major health implications by providing new perspectives for the prevention of growth problems in children carrying risk alleles in the FTO gene.
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Affiliation(s)
- Taraneh Abarin
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
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Rahmalia A, Giorgis-Allemand L, Lepeule J, Philippat C, Galineau J, Hulin A, Charles MA, Slama R. Pregnancy exposure to atmospheric pollutants and placental weight: an approach relying on a dispersion model. ENVIRONMENT INTERNATIONAL 2012; 48:47-55. [PMID: 22836169 DOI: 10.1016/j.envint.2012.06.013] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2012] [Revised: 06/22/2012] [Accepted: 06/24/2012] [Indexed: 05/21/2023]
Abstract
BACKGROUND Epidemiologic studies suggest an association between air pollution exposure and foetal growth. The possible underlying biological mechanisms have little been studied in humans, but animal studies suggest an impact of atmospheric pollutants on placental function. OBJECTIVES Our aim was to investigate the association between exposure to atmospheric pollutants' levels during pregnancy and placental weight, birth weight and the placental to foetal weights ratio (PFR). For comparison purposes, the effects of active smoking on the same measures at birth have also been estimated. METHODS The study relies on women from Eden mother-child cohort recruited in the middle-sized cities of Poitiers and Nancy (France). Nitrogen dioxide (NO(2)) and particulate matter with diameter <10 μm (PM10) home address levels during pregnancy were assessed using ADMS-Urban dispersion model. We characterized associations of NO(2), PM10 levels and active smoking with placental, birth weights and PFR by distinct linear regression models. RESULTS Air pollution levels were higher and had greater variability in Nancy (5th-95th centiles, 19.9-27.9 μg/m(3) for PM10) than in Poitiers (5th-95th centiles, 14.3-17.8 μg/m(3)). Associations differed by study area: in Nancy (355 births), air pollution levels were associated with decreased placental weight and PFR, while in Poitiers (446 births), opposite or null associations were observed. Cigarette smoking was not associated with placental weight while it was associated with a decrease in birth weight and an increase in PFR. CONCLUSION Results regarding air pollution estimated effects were not similar in both study areas and should therefore be taken with caution. The placental weight decrease observed with air pollutants in the more polluted area of Nancy is consistent with a recent epidemiological study. In this area, maternal active smoking and PM10 levels tended to have opposite effects on the PFR, suggesting different mechanisms of action of both pollutants on foetal growth.
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Affiliation(s)
- Annisa Rahmalia
- Inserm, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, U823, 38042 Grenoble, France
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Eskild A, Fedorcsak P, Mørkrid L, Tanbo TG. Maternal body mass index and serum concentrations of human chorionic gonadotropin in very early pregnancy. Fertil Steril 2012; 98:905-10. [DOI: 10.1016/j.fertnstert.2012.06.011] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2012] [Revised: 05/21/2012] [Accepted: 06/08/2012] [Indexed: 12/31/2022]
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Opdahl S, Alsaker MDK, Romundstad PR, Eskild A, Vatten LJ. Placental weight and breast cancer risk in young women: a registry-based cohort study from Norway. Cancer Epidemiol Biomarkers Prev 2012; 21:1060-5. [PMID: 22623709 DOI: 10.1158/1055-9965.epi-11-0990] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Pregnancy has a short-term risk-increasing effect on breast cancer that may be attributed to growth-promoting effects of pregnancy hormones on prevalent but undetected tumors. Results of two previous studies suggested that placental weight may be positively associated with breast cancer risk. METHODS In a cohort of 338,051 women followed from 1999 to 2008, on the basis of data linkage between the Medical Birth Registry of Norway and the Cancer Registry of Norway, we assessed whether placental weight in a woman's most recent pregnancy was related to breast cancer risk during the first years following pregnancy. RESULTS During follow-up (median, 6.0 years; interquartile range, 3.0-8.3 years), 648 women were diagnosed with breast cancer at a mean age of 38.4 years (standard deviation, 5.3 years). Placental weight in the most recent pregnancy was not associated with breast cancer risk: the hazard ratio per 100-gram increase in placental weight was 1.03 [95% confidence interval, 0.96-1.10]. There was a similar lack of association related to mean placental weight across pregnancies and to placental weight associated with the first birth. CONCLUSION We could not confirm previous reports that women who develop large placentas are at increased risk of breast cancer. IMPACT The epidemiologic support for an association of placental weight with breast cancer risk remains inconclusive. More research is needed to identify factors that influence breast cancer risk in young women.
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Affiliation(s)
- Signe Opdahl
- Department of Public Health and General Practice, Norwegian University of Science and Technology, Trondheim, Norway.
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Skouen JS, Smith AJ, Warrington NM, O' Sullivan PB, McKenzie L, Pennell CE, Straker LM. Genetic variation in the beta-2 adrenergic receptor is associated with chronic musculoskeletal complaints in adolescents. Eur J Pain 2012; 16:1232-42. [PMID: 22416031 DOI: 10.1002/j.1532-2149.2012.00131.x] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/13/2012] [Indexed: 11/10/2022]
Abstract
BACKGROUND There is significant evidence to suggest that psychological and stress-related factors are important predictors of the onset of chronic widespread pain (CWP) and fibromyalgia (FM). The hypothalamic-pituitary-adrenal axis, together with the efferent sympathetic/adrenomedullary system, influence all body organs (including muscles) during short- and long-term threatening stimuli. The aim of this study was to investigate the relationship between genetic variants in adrenergic candidate genes and chronic musculoskeletal complaints (MSCs) in adolescents. METHODS Adolescents from the Western Australian Pregnancy (Raine) Cohort attending the 17-year cohort review completed a questionnaire containing a broad range of psychosocial factors and pain assessment (n = 1004). Blood samples were collected for DNA extraction and genotyping. Genotype data was obtained for 14 single nucleotide polymorphisms (SNPs) in two candidate genes - beta-2 adrenergic receptor (ADRB2) and catecholamine-O-methyltransferase (COMT). Haplotypes were reconstructed for all individuals with genotype data. RESULTS AND CONCLUSION Both female gender and poor mental health were associated with (1) an increased risk for chronic, disabling comorbid neck and low back pain (CDCP); and (2) an increase in the number of areas of pain. Of the 14 SNPs evaluated, only SNP rs2053044 (ADRB2, recessive model) displayed an association with CDCP [odds ratio (OR) = 2.49; 95% confidence interval (CI) = 1.25, 4.98; p = 0.01] and pain in three to four pain areas in the last month (OR = 1.86; 95% CI = 1.13, 3.06; p = 0.02). These data suggest that genetic variants in ADRB2 may be involved in chronic MSCs.
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Affiliation(s)
- J S Skouen
- Department of Physical Medicine and Rehabilitation, Haukeland University Hospital, Bergen, Norway
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Tikellis G, Ponsonby AL, Wells JCK, Pezic A, Cochrane J, Dwyer T. Maternal and infant factors associated with neonatal adiposity: results from the Tasmanian Infant Health Survey (TIHS). Int J Obes (Lond) 2012; 36:496-504. [PMID: 22249230 DOI: 10.1038/ijo.2011.261] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVE To examine the maternal and neonatal factors associated with offspring adiposity and the role of birth and placental weight as potential mediators in such associations. DESIGN The Tasmanian Infant Health Survey was a prospective cohort study conducted between 1988 and 1995 in Australia to investigate the cause of Sudden Infant Death Syndrome. This large infant cohort provides measurement of skinfolds on 7945 mothers and their offspring. SUBJECTS Participants included singletons born ≥37 weeks gestation who were at high risk of sudden infant death syndrome identified through a composite score that included birth weight, maternal age, neonatal gender, season of birth, duration of second-stage labor and intention to breastfeed. MEASUREMENTS Neonatal adiposity was assessed from skinfold measurements of the subscapular (SSF) and triceps folds (TSF) taken at birth. Maternal early-pregnancy body mass index (BMI) was calculated from self-reported height and weight. Neonatal data were extracted from birth records. Data relating to other environmental exposures were obtained from questionnaires administered when neonates were ∼4-days old. RESULTS In multivariable models, higher maternal adiposity, increasing maternal age, gestation age, delivery by Caesarian section and female gender were associated with larger SSF independent of placental and birth weight (P<0.001). Maternal age and delivery by Caesarian section were significantly associated with larger TSF, whereas gestational age and male gender were associated with thinner TSF independent of placental and birth weight. Higher early-pregnancy BMI, maternal weight gain, maternal age, parity and gestational age were significantly associated with larger placental and birth weight. Smoking during pregnancy was associated with smaller birth weight but not with placental weight. CONCLUSION In addition to birth weight, maternal adiposity and placental weight were important additional factors associated with neonatal adiposity.
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Affiliation(s)
- G Tikellis
- Murdoch Childrens Research Institute, Melbourne, VIC, Australia.
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Yorifuji T, Naruse H, Kashima S, Murakoshi T, Tsuda T, Doi H, Kawachi I. Residential proximity to major roads and placenta/birth weight ratio. THE SCIENCE OF THE TOTAL ENVIRONMENT 2012; 414:98-102. [PMID: 22142650 DOI: 10.1016/j.scitotenv.2011.11.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2011] [Revised: 11/01/2011] [Accepted: 11/01/2011] [Indexed: 05/11/2023]
Abstract
Exposure to air pollution has been demonstrated to increase the risk of preterm birth and low birth weight. We examined whether proximity to major roads (as a marker of exposure to air pollution) is associated with increased placenta/birth weight ratio (as a biomarker of the placental transport function). Data on parental characteristics and birth outcomes were extracted from the database maintained by a major hospital in Shizuoka Prefecture, Japan. We restricted the analysis to mothers who delivered liveborn single births from 1997 to 2008 (n = 14,189). Using geocoded residential information, each birth was classified according to proximity to major roads. We examined the association between proximity to major roads and the placenta/birth weight ratio, using multiple linear regression. Proximity to major roads was associated with higher placenta/birth weight ratio. After adjusting for potential confounders, living within 200 m of a major road increased the ratio by 0.48% (95% CI = 0.15 to 0. 80). In addition, proximity to major roads was associated with lower placenta weight and birth weight. These observed associations were stronger among participants living closer to major roads. Exposure to traffic-related air pollution is associated with higher placenta/birth weight ratio. Impaired placental oxygen and nutrient transport function might be a mechanism for explaining the observed association between air pollution and low birth weight as well as preterm birth.
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Affiliation(s)
- Takashi Yorifuji
- Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Kita-ku, Okayama 700-8558, Japan.
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Early diet quality in a longitudinal study of Australian children: associations with nutrition and body mass index later in childhood and adolescence. J Dev Orig Health Dis 2011; 3:21-31. [DOI: 10.1017/s2040174411000717] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Fat mass and obesity-associated obesity-risk genotype is associated with lower foetal growth: an effect that is reversed in the offspring of smoking mothers. J Dev Orig Health Dis 2011; 3:10-20. [DOI: 10.1017/s2040174411000638] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Middelberg RP, Benyamin B, de Moor MHM, Warrington NM, Gordon S, Henders AK, Medland SE, Nyholt DR, de Geus EJC, Hottenga JJ, Willemsen G, Beilin LJ, Mori TA, Wright MJ, Heath AC, Madden PAF, Boomsma DI, Pennell CE, Montgomery GW, Martin NG, Whitfield JB. Loci affecting gamma-glutamyl transferase in adults and adolescents show age × SNP interaction and cardiometabolic disease associations. Hum Mol Genet 2011; 21:446-55. [PMID: 22010049 DOI: 10.1093/hmg/ddr478] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Serum gamma-glutamyl transferase (GGT) activity is a marker of liver disease which is also prospectively associated with the risk of all-cause mortality, cardiovascular disease, type 2 diabetes and cancers. We have discovered novel loci affecting GGT in a genome-wide association study (rs1497406 in an intergenic region of chromosome 1, P = 3.9 × 10(-8); rs944002 in C14orf73 on chromosome 14, P = 4.7 × 10(-13); rs340005 in RORA on chromosome 15, P = 2.4 × 10(-8)), and a highly significant heterogeneity between adult and adolescent results at the GGT1 locus on chromosome 22 (maximum P(HET) = 5.6 × 10(-12) at rs6519520). Pathway analysis of significant and suggestive single-nucleotide polymorphism associations showed significant overlap between genes affecting GGT and those affecting common metabolic and inflammatory diseases, and identified the hepatic nuclear factor (HNF) family as controllers of a network of genes affecting GGT. Our results reinforce the disease associations of GGT and demonstrate that control by the GGT1 locus varies with age.
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Fulvia GB, Antonio P, Anna N, Patrizia S, Ada A, Egidio B, Andrea M. Adenylate kinase locus 1 polymorphism and feto-placental development. Eur J Obstet Gynecol Reprod Biol 2011; 159:273-5. [PMID: 21831515 DOI: 10.1016/j.ejogrb.2011.07.043] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2011] [Revised: 07/02/2011] [Accepted: 07/11/2011] [Indexed: 11/18/2022]
Abstract
OBJECTIVE Recently our group has found that the correlation between birth weight and placental weight - an index of a balanced feto-placental unit development - is influenced by genetic factors. Since adenylate kinase locus 1 (AK₁) is a polymorphic enzyme that plays an important role in the synthesis of nucleotides required for many metabolic functions, we have investigated the possible role of its genetic variability in the correlation between birth weight and placental weight. STUDY DESIGN 342 consecutive healthy newborn infants from the population of Rome (Italy) and 286 puerperae from another population from Central Italy were studied. RESULTS The correlation coefficient between birth weight and placental weight is much higher in infants with low activity AK₁2-1 phenotype than in those with high activity AK₁1 phenotype. The difference between AK₁ and AK₁2-1 is well marked only in newborns with a gestational age greater than 38 weeks and it is not influenced by sex, maternal age and maternal smoking. A similar pattern is observed with maternal AK₁ phenotype. CONCLUSIONS These results suggest that the difference in enzymatic activity between AK₁ phenotypes influencing the equilibrium among ATP, ADP, AMP and adenosine could have an important role in a balanced development of feto-placental unit.
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Affiliation(s)
- Gloria-Bottini Fulvia
- Division of Biopathology of Human Population and Environmental Pathology, Department of Biopathology and Imaging Diagnostics, University of Rome Tor Vergata, Rome, Italy.
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Gambling L, Kennedy C, McArdle HJ. Iron and copper in fetal development. Semin Cell Dev Biol 2011; 22:637-44. [DOI: 10.1016/j.semcdb.2011.08.011] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2011] [Revised: 08/19/2011] [Accepted: 08/22/2011] [Indexed: 10/17/2022]
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Haavaldsen C, Samuelsen SO, Eskild A. The association of maternal age with placental weight: a population-based study of 536 954 pregnancies. BJOG 2011; 118:1470-6. [DOI: 10.1111/j.1471-0528.2011.03053.x] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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75
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Shehata F, Levin I, Shrim A, Ata B, Weisz B, Gamzu R, Almog B. Placenta/birthweight ratio and perinatal outcome: a retrospective cohort analysis. BJOG 2011; 118:741-7. [PMID: 21332633 DOI: 10.1111/j.1471-0528.2011.02892.x] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The placenta weight/birthweight (PW/BW) ratio has been shown to be associated with certain long-term fetal outcomes; however, its association with short-term outcomes has not received much attention. Our aim was to assess the correlation between the PW/BW ratio and short-term adverse obstetrics outcomes in full-term, appropriate-for-gestational-age (AGA) newborns. DESIGN Retrospective cohort study analysis using data from the McGill Obstetrical and Neonatal Database. SETTING McGill University Health Centre in Montreal Canada. POPULATION AGA neonates. METHODS Three groups of full-term AGA neonates were created, according to their PW/BW ratio (high, normal and low), to be compared. Our primary outcome was the admission rate to the neonatal intensive care unit (NICU), and secondary outcomes included an Apgar score < 7 at 5 minutes, cord PH < 7.0, cord base excess (BE) ≤ 12, respiratory distress syndrome (RDS), patent ductus arteriosus (PDA), occurrence of apnoea episodes, breech presentation at delivery, caesarean section rate and status in discharge home. A logistic regression model was instituted to investigate the predictors for adverse obstetrics outcomes. MAIN OUTCOME MEASURE Admission to the NICU. RESULTS Compared with the group with normal PW/BW ratios, the high PW/BW ratio group was associated with increased rates of admission to the NICU, of Apgar scores < 7 at 5 minutes, of breech presentation and caesarean section. On the contrary, the low PW/BW ratio group showed decreased rates of NICU admission, breech presentation and caesarean section. CONCLUSIONS A high PW/BW ratio is significantly correlated with short-term adverse perinatal outcomes. This ratio may be used as a new and simple warning sign to predict the possibility of short-term health risks for newborns.
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Affiliation(s)
- F Shehata
- Obstetrics and Gynecology Department, McGill University Health Centre, McGill University, Montreal, QC, Canada.
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76
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Maternal psychosocial stress during pregnancy and placenta weight: evidence from a national cohort study. PLoS One 2010; 5:e14478. [PMID: 21217829 PMCID: PMC3013108 DOI: 10.1371/journal.pone.0014478] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2010] [Accepted: 11/27/2010] [Indexed: 01/16/2023] Open
Abstract
Background To study in a large-scale cohort with prospective data the associations between psychosocial stress during pregnancy and placenta weight at birth. Animal data suggest that the placenta is involved in stress-related fetal programming. Methodology/Principal Findings We defined a priori two types of psychosocial stress during pregnancy, life stress (perceived burdens in major areas of life) and emotional symptoms (e.g. anxiety). We estimated the associations of maternal stress during pregnancy with placenta weight at birth, controlled for length of gestation, by predicting gestational age- and sex-specific z-scores of placenta weight through multiple regression analysis, adjusted for potential confounders (N = 78017 singleton pregnancies). Life stress (per increase in stress score by 1, range: 0–18) during pregnancy was associated with increased placenta weight at birth (z-score, reported in 10−3; B, 14.33; CI, 10.12–18.54). In contrast, emotional symptoms during pregnancy were not associated with placenta weight at birth. Conclusions/Significance Maternal life stress but not emotional symptoms during pregnancy was associated with increased placenta weight at birth; yet, the association-estimate was rather small. Our results may contribute to a better understanding of the role of the placenta in the regulation of intrauterine processes in response to maternal stress.
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77
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Almog B, Shehata F, Aljabri S, Levin I, Shalom-Paz E, Shrim A. Placenta weight percentile curves for singleton and twins deliveries. Placenta 2010; 32:58-62. [PMID: 21036395 DOI: 10.1016/j.placenta.2010.10.008] [Citation(s) in RCA: 114] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2010] [Revised: 10/05/2010] [Accepted: 10/07/2010] [Indexed: 10/18/2022]
Abstract
OBJECTIVE To establish updated placental percentile nomograms in a large North American population for singleton and twin gestations for the use of researchers and clinicians. STUDY DESIGN Data was extracted from our computerized registry; McGill Obstetrics and Neonatal Database (MOND). The registry includes all the obstetrical data on all deliveries at the McGill University, including placental weight, placental pathologies, maternal and perinatal complications. 20,635 singleton deliveries and 527 twin deliveries were included. Placental weight, gestational age at delivery, birth weight and gender were retrieved. Tables and figures for the 3rd,10th,25th, 50th, 75th 90th, and 97th percentile of placental weight by gestational age, placental weight by birth weight and placental to birth weight ratio by gestational age were produced. RESULTS Tables and figures are presented for placental percentiles curves according to gestational age, gestational weight and gender for singleton and twin deliveries. In addition, tables and figures are presented for the ratio of placental weight to birth weight. CONCLUSIONS Population percentile curves have been produced for placental weight and for the ratio of placental weight to birth weight to for singleton and twin deliveries.
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Affiliation(s)
- B Almog
- Department of Obstetrics and Gynecology, McGill University, 687 Pine Avenue West, Montreal, Quebec, Canada H3A 1A1.
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78
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Obesity and the placenta: A consideration of nutrient exchange mechanisms in relation to aberrant fetal growth. Placenta 2010; 32:1-7. [PMID: 21030077 DOI: 10.1016/j.placenta.2010.09.019] [Citation(s) in RCA: 79] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2010] [Revised: 09/12/2010] [Accepted: 09/30/2010] [Indexed: 01/22/2023]
Abstract
The obesity epidemic, including childhood obesity, is rapidly gaining strength as one of the most significant challenges to the health of the global community in the 21st Century. The proportion of women who are obese at the beginning of pregnancy is also increasing. These women and their babies are at high risk of pregnancy complications, and of programming for metabolic disease in adult life. In particular, maternal obesity is associated with aberrant fetal growth, encompassing both growth restricted and large for gestational age, or macrosomic fetuses. This article considers the potential effect of obesity and adipose tissue on placental nutrient exchange mechanisms in relation to aberrant fetal growth. The review emphasizes the dearth of work on this topic to date despite its importance to current and future healthcare of the population.
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79
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Causes and mechanisms of intrauterine hypoxia and its impact on the fetal cardiovascular system: a review. Int J Pediatr 2010; 2010:401323. [PMID: 20981293 PMCID: PMC2963133 DOI: 10.1155/2010/401323] [Citation(s) in RCA: 170] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2010] [Revised: 08/04/2010] [Accepted: 09/16/2010] [Indexed: 11/17/2022] Open
Abstract
Until today the role of oxygen in the development of the fetus remains controversially discussed. It is still believed that lack of oxygen in utero might be responsible for some of the known congenital cardiovascular malformations. Over the last two decades detailed research has given us new insights and a better understanding of embryogenesis and fetal growth. But most importantly it has repeatedly demonstrated that oxygen only plays a minor role in the early intrauterine development. After organogenesis has taken place hypoxia becomes more important during the second and third trimester of pregnancy when fetal growth occurs. This review will briefly adress causes and mechanisms leading to intrauterine hypoxia and their impact on the fetal cardiovascular system.
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80
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Maidji E, Nigro G, Tabata T, McDonagh S, Nozawa N, Shiboski S, Muci S, Anceschi MM, Aziz N, Adler SP, Pereira L. Antibody treatment promotes compensation for human cytomegalovirus-induced pathogenesis and a hypoxia-like condition in placentas with congenital infection. THE AMERICAN JOURNAL OF PATHOLOGY 2010; 177:1298-310. [PMID: 20651234 DOI: 10.2353/ajpath.2010.091210] [Citation(s) in RCA: 94] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Human cytomegalovirus (HCMV) is the major viral cause of birth defects worldwide. Affected infants can have temporary symptoms that resolve soon after birth, such as growth restriction, and permanent disabilities, including neurological impairment. Passive immunization of pregnant women with primary HCMV infection is a promising treatment to prevent congenital disease. To understand the effects of sustained viral replication on the placenta and passive transfer of protective antibodies, we performed immunohistological analysis of placental specimens from women with untreated congenital infection, HCMV-specific hyperimmune globulin treatment, and uninfected controls. In untreated infection, viral replication proteins were found in trophoblasts and endothelial cells of chorionic villi and uterine arteries. Associated damage included extensive fibrinoid deposits, fibrosis, avascular villi, and edema, which could impair placental functions. Vascular endothelial growth factor and its receptor fms-like tyrosine kinase 1 (Flt1) were up-regulated, and amniotic fluid contained elevated levels of soluble Flt1 (sFlt1), an antiangiogenic protein, relative to placental growth factor. With hyperimmune globulin treatment, placentas appeared uninfected, vascular endothelial growth factor and Flt1 expression was reduced, and sFlt1 levels in amniotic fluid were lower. An increase in the number of chorionic villi and blood vessels over that in controls suggested compensatory development for a hypoxia-like condition. Taken together the results indicate that antibody treatment can suppress HCMV replication and prevent placental dysfunction, thus improving fetal outcome.
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Affiliation(s)
- Ekaterina Maidji
- Department of Cell and Tissue Biology, School of Dentistry, University of California-San Francisco, San Francisco, CA 94143, USA
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81
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Robinson M, Oddy WH, McLean NJ, Jacoby P, Pennell CE, de Klerk NH, Zubrick SR, Stanley FJ, Newnham JP. Low-moderate prenatal alcohol exposure and risk to child behavioural development: a prospective cohort study. BJOG 2010; 117:1139-50. [PMID: 20528867 DOI: 10.1111/j.1471-0528.2010.02596.x] [Citation(s) in RCA: 116] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- M Robinson
- Telethon Institute for Child Health Research, Centre for Child Health Research, Perth, Australia
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82
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Wang Y. Re: Cudihy D, Lee RV. 2009. The pathophysiology of pre-eclampsia: current clinical concepts. Journal of Obstetrics and Gynaecology 29(7):576-582. J OBSTET GYNAECOL 2010; 30:426-7; author reply 427. [PMID: 20455741 DOI: 10.3109/01443611003646306] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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83
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Bruin JE, Gerstein HC, Holloway AC. Long-term consequences of fetal and neonatal nicotine exposure: a critical review. Toxicol Sci 2010; 116:364-74. [PMID: 20363831 PMCID: PMC2905398 DOI: 10.1093/toxsci/kfq103] [Citation(s) in RCA: 241] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Cigarette smoking during pregnancy is associated with numerous obstetrical, fetal, and developmental complications, as well as an increased risk of adverse health consequences in the adult offspring. Nicotine replacement therapy (NRT) has been developed as a pharmacotherapy for smoking cessation and is considered to be a safer alternative for women to smoking during pregnancy. The safety of NRT use during pregnancy has been evaluated in a limited number of short-term human trials, but there is currently no information on the long-term effects of developmental nicotine exposure in humans. However, animal studies suggest that nicotine alone may be a key chemical responsible for many of the long-term effects associated with maternal cigarette smoking on the offspring, such as impaired fertility, type 2 diabetes, obesity, hypertension, neurobehavioral defects, and respiratory dysfunction. This review will examine the long-term effects of fetal and neonatal nicotine exposure on postnatal health.
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Affiliation(s)
- Jennifer E Bruin
- Reproductive Biology Division, Department of Obstetrics and Gynecology, McMaster University, Hamilton, Ontario, Canada
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84
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Pathak S, Jessop F, Hook L, Sebire NJ, Lees CC. Placental weight, digitally derived placental dimensions at term and their relationship to birth weight. J Matern Fetal Neonatal Med 2010; 23:1176-82. [DOI: 10.3109/14767051003615434] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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85
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Gandley RE, Jeyabalan A, Desai K, McGonigal S, Rohland J, DeLoia JA. Cigarette exposure induces changes in maternal vascular function in a pregnant mouse model. Am J Physiol Regul Integr Comp Physiol 2010; 298:R1249-56. [PMID: 20164208 DOI: 10.1152/ajpregu.00274.2009] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Smoking is associated with multiple adverse pregnancy outcomes, including fetal growth restriction. The objective of this study was to determine whether cigarette smoke exposure during pregnancy in a mouse model affects the functional properties of maternal uterine, mesenteric, and renal arteries as a possible mechanism for growth restriction. C57Bl/CJ mice were exposed to whole body sidestream smoke for 4 h/day. Smoke particle exposure was increased from day 4 of gestation until late pregnancy (day 16-19), with mean total suspended particle levels of 63 mg/m(3), representative of moderate-to-heavy smoking in humans. Uterine, mesenteric, and renal arteries from late-pregnant and virgin mice were isolated and studied in a pressure-arteriograph system (n = 23). Plasma cotinine was measured by ELISA. Fetal weights were significantly reduced in smoke-exposed compared with control fetuses (0.88 +/- 0.1 vs. 1.0 +/- 0.08 g, P < 0.02), while litter sizes were not different. Endothelium-mediated relaxation responses to methacholine were significantly impaired in both the uterine and mesenteric vasculature of pregnant mice exposed to cigarette smoke during gestation. This difference was not apparent in isolated renal arteries from pregnant mice exposed to cigarette smoke; however, relaxation was significantly reduced in renal arteries from smoke-exposed virgin mice. In conclusion, we found that passive cigarette smoke exposure is associated with impaired vascular relaxation of uterine and mesenteric arteries in pregnant mice. Functional maternal vascular perturbations during pregnancy, specifically impaired peripheral and uterine vasodilation, may contribute to a mechanism by which smoking results in fetal growth restriction.
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Affiliation(s)
- Robin E Gandley
- Magee-Womens Research Institute, 204 Craft Ave., Pittsburgh, PA 15213, USA.
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86
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Yong PJ, von Dadelszen P, McFadden DE, Barrett IJ, Kalousek DK, Robinson WP. Placental weight in pregnancies with trisomy confined to the placenta. JOURNAL OF OBSTETRICS AND GYNAECOLOGY CANADA 2009; 31:605-610. [PMID: 19761633 DOI: 10.1016/s1701-2163(16)34239-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Mosaicism with trisomy confined to the placenta is present in ~1% of ongoing pregnancies at the time of chorionic villus sampling. Some studies have found reduced fetal growth in confined placental trisomy. The objective of this study was to assess placental weight and feto-placental weight ratio in pregnancies with trisomy confined to the placenta, and to correlate them with the level of trisomy in the three major placental lineages. METHODS We conducted a retrospective study of 69 pregnancies with prenatally diagnosed mosaic trisomy in which the trisomic cells were confined to the placenta. Placental weight and feto-placental weight ratio were compared to those of matched controls, and placental weight was also analyzed for associations with the type and level of trisomy. Placental pathology was also reviewed. RESULTS The pregnancies with mosaic trisomy were found to have lower placental weights than matched controls, but normal feto-placental weight ratios. Placental weight was not associated with the type or level of trisomic cells in the three placental lineages at term (chorionic plate, chorionic villus mesenchyme, and trophoblast). There were no pathognomonic findings on routine placental pathology of the trisomic placentas. CONCLUSION Although placental weight was reduced (with normal feto-placental weight ratio) in pregnancies with trisomy confined to the placenta, the level of placental trisomy was not correlated with placental weight. Thus, trisomy may alter placental function rather than have a direct hypoplastic effect on placental growth. More in-depth studies beyond routine pathology are required to identify how trisomy affects placental function.
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Affiliation(s)
- Paul J Yong
- Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver BC; Child and Family Research Institute, Vancouver BC
| | - Peter von Dadelszen
- Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver BC; Child and Family Research Institute, Vancouver BC
| | - Deborah E McFadden
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver BC; Child and Family Research Institute, Vancouver BC
| | - Irene J Barrett
- Department of Medical Genetics, University of British Columbia, Vancouver BC; Child and Family Research Institute, Vancouver BC
| | - Dagmar K Kalousek
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver BC; Child and Family Research Institute, Vancouver BC
| | - Wendy P Robinson
- Department of Medical Genetics, University of British Columbia, Vancouver BC; Child and Family Research Institute, Vancouver BC
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87
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Risnes KR, Romundstad PR, Nilsen TIL, Eskild A, Vatten LJ. Placental weight relative to birth weight and long-term cardiovascular mortality: findings from a cohort of 31,307 men and women. Am J Epidemiol 2009; 170:622-31. [PMID: 19638481 DOI: 10.1093/aje/kwp182] [Citation(s) in RCA: 105] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Birth weight is inversely associated with risk of adult cardiovascular disease, and evidence exists that fetal adaptation to challenges in the intrauterine environment may adversely affect long-term cardiovascular health. The placenta is in a key position to mediate such effects because adequate placental function is necessary for delivery of nutrients, oxygen, and hormones to the fetus. This prospective population study based on data from the hospital birth charts of 31,307 Norwegian men and women born between 1934 and 1959 assessed whether placental weight relative to birth weight was associated with risk of death from cardiovascular disease in adulthood. During 45 years of follow-up, 382 people died from cardiovascular disease (median age, 51.3 years). Results showed that the placenta-to-birth-weight ratio was positively associated with cardiovascular disease mortality; the sex- and cohort-adjusted hazard ratio for the highest versus the lowest third was 1.38 (95% confidence interval: 1.07, 1.77). The authors concluded that a disproportionately large placenta relative to birth weight was associated with increased risk of cardiovascular disease death. This finding suggests that placental function is important in the association of intrauterine factors with cardiovascular disease later in life.
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Affiliation(s)
- Kari R Risnes
- Department of Public Health, Medical Research Centre, NO-7489 Trondheim, Norway.
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88
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Coall DA, Charles AK, Salafia CM. Gross placental structure in a low-risk population of singleton, term, first-born infants. Pediatr Dev Pathol 2009; 12:200-10. [PMID: 19007303 DOI: 10.2350/08-02-0413.1] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2008] [Accepted: 10/19/2008] [Indexed: 11/20/2022]
Abstract
Suboptimal fetal growth has been associated with an increased risk of adult disease, which may be exacerbated by an increased placental weight-to-fetal weight ratio. Placental weight is a summary measure of placental growth and development throughout pregnancy. However, measures of placental structure, including the chorionic disk surface area and thickness and eccentricity of the umbilical cord insertion, have been shown to account for additional variance in birth weight beyond that explained by placental weight. Little is known of the variability of these placental parameters in low-risk populations; their association with maternal, pregnancy, and neonatal characteristics; and the agreement between manual and digital measures. This study used manual and digital image analysis techniques to examine gross placental anatomy in 513 low-risk, singleton, term, first-born infants. Parametric methods compared groups and examined relationships among variables. Maternal birth weight, prepregnancy weight, and body mass index were associated with increased placental and birth weight (all P < 0.005), but only maternal birth weight was associated with increased placental surface area (P < 0.0005) and thickness (P = 0.005). Smoking during pregnancy reduced birth weight and increased the eccentricity of umbilical cord insertion (P = 0.012 and 0.034, respectively). The variability in these placental parameters was consistently lower than that reported in the literature, and correlations between digital and manual measurements were reasonable (r = .87-.71). Detailed analyses of gross placental structure can provide biologically relevant information regarding placental growth and development and, potentially, their consequences.
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Affiliation(s)
- David A Coall
- Center for Cognitive and Decision Sciences, Institute of Psychology, University of Basel, Missionsstrasse 64a, 4055 Basel, Switzerland.
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89
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Peper JS, Brouwer RM, van Baal GCM, Schnack HG, van Leeuwen M, Boomsma DI, Kahn RS, Hulshoff Pol HE. Does having a twin brother make for a bigger brain? Eur J Endocrinol 2009; 160:739-46. [PMID: 19218283 DOI: 10.1530/eje-08-0915] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Brain volume of boys is larger than that of girls by approximately 10%. Prenatal exposure to testosterone has been suggested in the masculinization of the brain. For example, in litter-bearing mammals intrauterine position increases prenatal testosterone exposure through adjacent male fetuses, resulting in masculinization of brain morphology. DESIGN The influence of intrauterine presence of a male co-twin on masculinization of human brain volume was studied in 9-year old twins. METHODS Magnetic resonance imaging brain scans, current testosterone, and estradiol levels were acquired from four groups of dizygotic (DZ) twins: boys from same-sex twin-pairs (SSM), boys from opposite-sex twin-pairs (OSM), girls from opposite-sex twin-pairs (OSF), and girls from same-sex twin-pairs (SSF; n=119 individuals). Data on total brain, cerebellum, gray and white matter volumes were examined. RESULTS Irrespective of their own sex, children with a male co-twin as compared to children with a female co-twin had larger total brain (+2.5%) and cerebellum (+5.5%) volumes. SSM, purportedly exposed to the highest prenatal testosterone levels, were found to have the largest volumes, followed by OSM, OSF and SSF children. Birth weight partly explained the effect on brain volumes. Current testosterone and estradiol levels did not account for the volumetric brain differences. However, the effects observed in children did not replicate in adult twins. CONCLUSIONS Our study indicates that sharing the uterus with a DZ twin brother increases total brain volume in 9-year olds. The effect may be transient and limited to a critical period in childhood.
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Affiliation(s)
- Jiska S Peper
- Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
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90
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Rizzo G, Capponi A, Pietrolucci ME, Arduini D. Effects of maternal cigarette smoking on placental volume and vascularization measured by 3-dimensional power Doppler ultrasonography at 11+0 to 13+6 weeks of gestation. Am J Obstet Gynecol 2009; 200:415.e1-5. [PMID: 19070830 DOI: 10.1016/j.ajog.2008.10.041] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2008] [Revised: 08/24/2008] [Accepted: 10/07/2008] [Indexed: 02/07/2023]
Abstract
OBJECTIVE We sought to establish the effect of maternal smoking on placental volume and vascularization in early gestation. STUDY DESIGN Three-dimensional power Doppler ultrasonography of the placenta was performed at 11+0 to 13+6 weeks in 80 pregnancies categorized according to cigarette consumption: group A never smoked, B smoking < 10 cigarettes/day, C smoking 10-20 cigarettes/day, and D smoking > 20 cigarettes/day. Using a standardized setting, placental volume and vascularization index (VI), flow index (FI), and vascularization flow index (VFI) were calculated. RESULTS No differences were found in placental volume among groups. In groups C and D lower values were found for VI (group C: t = 4.52, P = .0002; group D: t = 3.72, P = .0014), FI (group C: t = 5.06, P = .0001; group D: t = 4.59, P = .0002), and VFI (group C: t = 3.49, P = .0024; group D: t = 2.88, P = .0095). Placental vascular indices were significantly related to birthweight (VI r = 0.563, FI r = 0.580, VFI r = 0.601; P < .001). CONCLUSION Maternal smoking is associated with altered 3-dimensional placental Doppler indices and these changes are related to birth weight.
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Affiliation(s)
- Giuseppe Rizzo
- Fetal Medicine Center Genoma, Ospedale G. B. Grassi, Rome, Italy
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91
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Baptiste-Roberts K, Salafia CM, Nicholson WK, Duggan A, Wang NY, Brancati FL. Gross placental measures and childhood growth. J Matern Fetal Neonatal Med 2009; 22:13-23. [PMID: 19085212 DOI: 10.1080/14767050802415728] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
OBJECTIVES We hypothesised that the gross placental measures would be positively associated with childhood growth. METHODS We analysed data on 23,967 mother-infant pairs enrolled in the Collaborative Perinatal Project. In race-stratified regression models, the main outcomes were birthweight and z-score body-mass index (BMI) at ages 4 and 7. RESULTS Some placental measures were significantly associated with z-score BMI at age 7: in Blacks, placental weight (beta = 0.0004/g; 95%CI: 0.0001, 0.0008), chorionic plate area (beta = 0.0007; 95%CI: 0.0001, 0.0012) and largest diameter (beta = 0.013; 95%CI: 0.004, 0.026); and in Whites placental weight (beta = 0.0004/g; 95%CI: 0.0001, 0.0003) and largest diameter (Model 3: beta = 0.020; 95%CI: 0.007, 0.032). Tested as group, placental measures significantly predicted z-score BMI at age 7 (all p values < 0.005). CONCLUSIONS Placental structure independently predicts birthweight and childhood growth. Strategies to improve placental structure might favourably influence birthweight and childhood development.
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Affiliation(s)
- Kesha Baptiste-Roberts
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
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92
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Maternal risk factors for abnormal placental growth: the national collaborative perinatal project. BMC Pregnancy Childbirth 2008; 8:44. [PMID: 18811957 PMCID: PMC2564930 DOI: 10.1186/1471-2393-8-44] [Citation(s) in RCA: 57] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2008] [Accepted: 09/23/2008] [Indexed: 11/10/2022] Open
Abstract
Background Previous studies of maternal risk factors for abnormal placental growth have focused on placental weight and placental ratio as measures of placental growth. We sought to identify maternal risk factors for placental weight and two neglected dimensions of placental growth: placental thickness and chorionic plate area. Methods We conducted an analysis of 24,135 mother-placenta pairs enrolled in the National Collaborative Perinatal Project, a prospective cohort study of pregnancy and child health. We defined growth restriction as < 10th percentile and hypertrophy as > 90th percentile for three placental growth dimensions: placental weight, placental thickness and chorionic plate area. We constructed parallel multinomial logistic regression analyses to identify (a) predictors of restricted growth (vs. normal) and (b) predictors of hypertrophic growth (vs. normal). Results Black race was associated with an increased likelihood of growth restriction for placental weight, thickness and chorionic plate area, but was associated with a reduced likelihood of hypertrophy for these three placental growth dimensions. We observed an increased likelihood of growth restriction for placental weight and chorionic plate area among mothers with hypertensive disease at 24 weeks or beyond. Anemia was associated with a reduced likelihood of growth restriction for placental weight and chorionic plate area. Pre-pregnancy BMI and pregnancy weight gain were associated with a reduced likelihood of growth restriction and an increased likelihood of hypertrophy for all three dimensions of placental growth. Conclusion Maternal risk factors are either associated with placental growth restriction or placental hypertrophy not both. Our findings suggest that the placenta may have compensatory responses to certain maternal risk factors suggesting different underlying biological mechanisms.
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Gloria-Bottini F, Pietropolli A, Coppeta L, Magrini A, Bergamaschi A, Bottini E. The genetics of feto-placental development: a study of acid phosphatase locus 1 and adenosine deaminase polymorphisms in a consecutive series of newborn infants. Reprod Biol Endocrinol 2008; 6:38. [PMID: 18768081 PMCID: PMC2569950 DOI: 10.1186/1477-7827-6-38] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2008] [Accepted: 09/03/2008] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Acid phosphatase locus 1 and adenosine deaminase locus 1 polymorphisms show cooperative effects on glucose metabolism and immunological functions. The recent observation of cooperation between the two systems on susceptibility to repeated spontaneous miscarriage prompted us to search for possible interactional effects between these genes and the correlation between birth weight and placental weight. Deviation from a balanced development of the feto-placental unit has been found to be associated with perinatal morbidity and mortality and with cardiovascular diseases in adulthood. METHODS We examined 400 consecutive newborns from the Caucasian population of Rome. Birth weight, placental weight, and gestational length were registered. Acid phosphatase locus 1 and adenosine deaminase locus 1 phenotypes were determined by starch gel electrophoresis and correlation analysis was performed by SPSS programs. Informed verbal consent to participate in the study was obtained from the mothers. RESULTS Highly significant differences in birth weight-placental weight correlations were observed among acid phosphatase locus 1 phenotypes (p = 0.005). The correlation between birth weight and placental weight was markedly elevated in subjects carrying acid phosphatase locus 1 phenotypes with medium-low F isoform concentration (A, CA and CB phenotypes) compared to those carrying acid phosphatase locus 1 phenotypes with medium-high F isoform concentration (BA and B phenotypes) (p = 0.002). Environmental and developmental variables were found to exert a significant effect on birth weight-placental weight correlation in subjects with medium-high F isoform concentrations, but only a marginal effect was observed in those with medium-low F isoform concentrations. The correlation between birth weight and placental weight is higher among carriers of the adenosine deaminase locus 1 allele*2, which is associated with low activity, than in homozygous adenosine deaminase locus 1 phenotype 1 carriers (p = 0.04). The two systems show a cooperative effect on the correlation between birth weight and placental weight: the highest value is observed in newborns carrying adenosine deaminase locus 1 allele*2 and acid phosphatase locus 1 phenotypes with medium-low F isoform concentration (p = 0.005). CONCLUSION These data suggest that zygotes with low adenosine deaminase locus 1 activity and low F activity may experience the most favourable intrauterine conditions for a balanced development of the feto-placental unit.
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Affiliation(s)
- Fulvia Gloria-Bottini
- Division of Human Population Biopathology and Environmental Pathology, Department of Biopathology and Imaging Diagnostics, University of Rome Tor Vergata, Rome, Italy
| | - Adalgisa Pietropolli
- Division of Obstetrics and Gynecology, Department of Surgery, University of Rome Tor Vergata, School of Medicine, Rome, Italy
| | - Luca Coppeta
- Division of Human Population Biopathology and Environmental Pathology, Department of Biopathology and Imaging Diagnostics, University of Rome Tor Vergata, Rome, Italy
| | - Andrea Magrini
- Division of Human Population Biopathology and Environmental Pathology, Department of Biopathology and Imaging Diagnostics, University of Rome Tor Vergata, Rome, Italy
| | - Antonio Bergamaschi
- Institute of Occupational Health Medicine, Catholic University of Holy Hearth, Rome, Italy
| | - Egidio Bottini
- Division of Human Population Biopathology and Environmental Pathology, Department of Biopathology and Imaging Diagnostics, University of Rome Tor Vergata, Rome, Italy
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94
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Chang YL, Chang SD, Chao AS, Hsieh PCC, Wang CN, Tseng LH. The individual fetal weight/estimated placental weight ratios in monochorionic twins with selective intrauterine growth restriction. Prenat Diagn 2008; 28:217-21. [PMID: 18264953 DOI: 10.1002/pd.1918] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVES To evaluate the individual fetal weight/estimated placental weight ratios (F/P ratio) of the two fetuses in monochorionic (MC) twins with selective intrauterine growth restriction (IUGR). MATERIAL AND METHODS MC twin with selective IUGR was defined as an estimated fetal weight below the 10th percentile in one twin of MC pregnancy. The estimated individual placental weight was obtained by cutting the placenta along the vascular equator into two territories. A total of 15 MC twins with selective IUGR and 18 MC twins without selective IUGR were included in this study. RESULTS The individual F/P ratio in the IUGR twin is significantly higher than that in the appropriate for gestational age (AGA) one in MC twin with selective IUGR (6.4 vs 4.0 respectively, p < 0.001). In MC twin without IUGR, the F/P ratios are not significantly different between the two fetuses (5.4 vs 5.1, respectively). CONCLUSION The high F/P ratio in the IUGR twin in MC with selective IUGR may be due to the placental reserve phenomenon, so that a smaller placental territory may suffice to perfuse the IUGR twin. In other words, in MC twin gestations with an IUGR twin, the fetal weights are not proportional to the placental masses.
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Affiliation(s)
- Yao-Lung Chang
- Department of Obstetrics and Gynecology, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, 5, Fu-Shin Street, Kweishan, Taoyuan 333, Taiwan, ROC.
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96
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Rodríguez-Morán M, Levario-Carrillo M, González JL, Sánchez-Ramírez B, Martínez-Aguilar G, Guerrero-Romero F. Placental immaturity and hyperinsulinaemia in full-term newborns. Eur J Clin Invest 2007; 37:529-34. [PMID: 17576203 DOI: 10.1111/j.1365-2362.2007.01821.x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND Evidence from large studies suggests that low birthweight is a risk factor for cardiovascular disease and glucose metabolism disorders in adulthood, but the physiological mechanisms involved in intrauterine growth conditioning low birthweight are not completely understood. The objectives of this study were to determine whether placental immaturity (PI), defined as the lower quartile of placental maturity index (PMI), is associated to hyperinsulinaemia at birth and to identify the risk factors associated with PI. MATERIALS AND METHODS Cross-sectional study conducted at medical research units of two Mexican general hospitals. A total of 272 full-term newborns with gestational age >/= 38 and < 41 weeks were allocated into the corresponding group according to the quartile distribution of PMI. Data from the lower (PMI < 13.3) and higher quartile (PMI >/= 24.3) were compared. The PMI was estimated by dividing the number of epithelial plates by the average thickness of the epithelial plate. Serum measures included cord glucose and insulin levels of the newborns at birth. RESULTS A total of 74 (27.2%) children had hyperinsulinaemia at birth, of them 47 (63.5%) with PI. The adjusted multiple regression analysis showed a strong association between PI and hyperinsulinaemia at birth [odds ratio (OR) 2.6; CI 95% 1.3-4.3). Additional adjusted analysis showed that both mother's age </= 16 years (OR 1.75; CI95% 1.2-9.1) and maternal cigarette smoking (OR 2.7; CI95% 1.3-8.9) are associated to PI. CONCLUSIONS The PI is independently associated with hyperinsulinaemia at birth: smoking and mother's age lower than 16 years are risk factors for development of PI.
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Affiliation(s)
- M Rodríguez-Morán
- Biomedical Research Unit of the Mexican Social Security Institute, Durango, México
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97
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Salafia CM, Zhang J, Miller RK, Charles AK, Shrout P, Sun W. Placental growth patterns affect birth weight for given placental weight. ACTA ACUST UNITED AC 2007; 79:281-8. [PMID: 17286292 DOI: 10.1002/bdra.20345] [Citation(s) in RCA: 61] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND An important contributor to fetal growth is growth of the placenta, the fetus' sole source of nutrients and oxygen. Here we use placental growth measures (larger and smaller disk diameters, reflecting the laterally expanding chorionic plate, and disk thickness) to test the hypothesis that placental growth patterns, while associated with placental weight and birth weight, measure placental functional efficiency, and will have independent effects on the feto-placental weight ratio (FPR). METHODS Placental measures were available from 23,313 participants in the Collaborative Perinatal Project delivered between 34 and 43 completed weeks. Continuous variables were analyzed by regression for associations with placental weight, birth weight, and FPR, to further explore effects of placental growth patterns on the FPR (lateral chorionic plate growth and chorionic disk thickness were grouped as low, normal, and high values). The relationships of the nine resultant combinations of placental growth categories to the FPR using birth weight adjusted for gestational age, infant gender, parity, and African American race were analyzed (ANOVA). RESULTS As chorionic disk area and thickness increased, birth weight and placental weight increased, and the FPR decreased (each p < .0001) after adjustment for gestational age, parity, race, and infant gender. Small, thin placental disks had an adjusted FPR of 8.46; the largest, thickest placentas had an adjusted FPR of 6.33. The nine categories of FPRs were significantly different, consistent with chorionic plate area and disk thickness combining to determine the FPR. CONCLUSIONS Patterns of placental growth, relating to different functional dimensions of the placenta, deliver a different birth weight for a given placental weight.
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Affiliation(s)
- Carolyn M Salafia
- Department of Epidemiology, Mailman School of Public Health, Columbia University College of Physicians and Surgeons, New York, New York 10032, USA.
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Hummel M, Marienfeld S, Huppmann M, Knopff A, Voigt M, Bonifacio E, Ziegler AG. Fetal growth is increased by maternal type 1 diabetes and HLA DR4-related gene interactions. Diabetologia 2007; 50:850-8. [PMID: 17310371 DOI: 10.1007/s00125-007-0607-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2006] [Accepted: 01/07/2007] [Indexed: 02/01/2023]
Abstract
AIMS/HYPOTHESIS Intrauterine growth in non-diabetic pregnancies is reported to be influenced by type 1 diabetes susceptibility genes. In particular, the high-risk HLA DR4_DQB1*0302 haplotype is associated with increased birthweight. The aim of this study was to determine whether HLA DR4 was associated with increased birthweight in a maternal diabetes environment and whether effects persisted during early childhood. SUBJECTS AND METHODS Birthweight and gestational age were obtained in singleton births from mothers with type 1 diabetes (n = 1161) or whose fathers or siblings have type 1 diabetes (n = 872). Weight and height at ages 2 and 5 years were obtained from paediatric records. Data were adjusted for (gestational) age and sex and expressed as percentiles of German reference data. HLA DR typing was obtained for all children and 1090 children also had insulin gene (INS) variable number of tandem repeats (VNTR) typing. RESULTS Maternal type 1 diabetes was associated with increased birthweight, gestational age and birthweight percentiles (all p < 0.0001). In children of mothers with type 1 diabetes, birthweight percentile was further related to maternal HbA(1c) during pregnancy (r = 0.26; p < 0.0001) and was independently increased if children had HLA DR4 alleles (76th vs 64th percentile; p < 0.0001). HLA DR4 was not associated with birthweight in children of non-diabetic mothers. Birthweight was not associated with INS VNTR genotypes. High birthweight, but not HLA DR4 was associated with increased weight and BMI at ages 2 and 5 years (p < 0.0001). CONCLUSIONS/INTERPRETATION Our findings are consistent with the hypothesis that a diabetic intrauterine environment interacts with gene(s) marked by the type 1 diabetes susceptibility HLA DR4 alleles to increase fetal growth.
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Affiliation(s)
- M Hummel
- Institute of Diabetes Research and Academic Hospital Schwabing, Kölner Platz 1, 80804, München, Germany
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Abstract
Depending on the definitions used, up to 10% of all live-born neonates are small for gestational age (SGA). Although the vast majority of these children show catch-up growth by 2 yr of age, one in 10 does not. It is increasingly recognized that those who are born SGA are at risk of developing metabolic disease later in life. Reduced fetal growth has been shown to be associated with an increased risk of insulin resistance, obesity, cardiovascular disease, and type 2 diabetes mellitus. The majority of pathology is seen in adults who show spontaneous catch-up growth as children. There is evidence to suggest that some of the metabolic consequences of intrauterine growth retardation in children born SGA can be mitigated by ensuring early appropriate catch-up growth, while avoiding excessive weight gain. Implicitly, this argument questions current infant formula feeding practices. The risk is less clear for individuals who do not show catch-up growth and who are treated with GH for short stature. Recent data, however, suggest that long-term treatment with GH does not increase the risk of type 2 diabetes mellitus and the metabolic syndrome in young adults born SGA.
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Affiliation(s)
- Paul Saenger
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, New York 10467, USA.
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100
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Abstract
Pregnancy is a period of rapid growth and cell differentiation for both the mother and fetus. Consequently, it is a period when both are vulnerable to changes in dietary supply, especially of those nutrients that are marginal under normal circumstances. In developed countries this vulnerability applies mainly to micronutrients. Even now, Fe deficiency is a common disorder, especially in pregnancy. Similarly, Cu intake in the UK population is rarely above adequate levels, which is a matter of some concern, both in terms of public health and possible clinical consequences. In early studies it was shown that lambs born to mothers on Cu-deficient pastures develop ‘swayback,’ with neurological and muscular symptoms that cannot be reversed by postnatal supplementation. More recently, rat studies have shown that responses such as the ‘startle’ response are lost in offspring of Cu-deficient mothers. Data have shown that prenatal Fe deficiency results in increased postnatal blood pressure, even though the offspring have normal dietary Fe levels from birth. These observations emphasise the importance of Fe and Cu in growth and development. In the present review the importance of these metals and the consequences, both short term and long term, of deficiency will be discussed and some possible mechanisms whereby these effects may be generated will be considered.
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Affiliation(s)
- Lorraine Gambling
- Rowett Research Institute, Greenburn Road, Bucksburn, Aberdeen AB21 9SB, UK.
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